Miracle-dz/UniFAR-FTUs huggingface dataset:
Stochastic Management of the Open Large Water Reservoir with Storage Function with Using a Genetic Algorithm

Described models are used random forecasting period of flow line with different length. The length is shorter than 1 year. Forecasting period of flow line is transformed to line of managing discharges with same length as forecast. Adaptive managing is used only first value of line of discharges. Stochastic management is worked with dispersion of controlling discharge value. Main advantage stochastic management is fun of possibilities. In article is described construction and evaluation of adaptive stochastic model base on genetic algorithm (classic optimization method). Model was used for stochastic management of open large water reservoir with storage function. Genetic algorithm is used as optimization algorithm. Forecasted inflow is given to model and controlling discharge value is computed by model for chosen probability of controlling discharge value. Model was tested and validated on made up large open water reservoir. Results of stochastic model were evaluated for given probability and were compared to results of same model for 100% forecast (forecasted values are real values). The management of the large open water reservoir with storage function was done logically and with increased sum number of forecast from 300 to 500 the results given by model were better, but another increased from 500 to 750 and 1000 did not get expected improvement. Influence on course of management was tested for different length forecasted inflow and their sum number. Classical optimization model is needed too much time for calculation, therefore stochastic model base on genetic algorithm was used parallel calculation on cluster.
Response Generation for Multi-Party Conversations

In the past several years, chatbots for one-on-one conversations have seen great success. However, chatbots for multi-party conversations are under-studied. We explore whether substantial performance gains on multi-party chat tasks can be achieved by by fine-tuning. Specifically, we compare the performance of basic BlenderBot, a state-of-the-art chatbot designed for two-party conversation, to BlenderBot fine-tuned on multi-party chats from the Ubuntu Dialog Corpus
The effects of strength training on the neuromuscular characteristics of a stop-jump task in female recreational athletes

Daniel Curtis Herman The Effects of Strength Training on the Neuromuscular Characteristics of a Stop-Jump Task in Female Recreational Athletes (Under the direction of Dr. Darin A. Padua and Dr. Bing Yu) Objective: To examine the effects of strength training on lower extremity joint kinematics, kinetics, and muscle activation. Design and Settings: A randomized controlled experimental design was employed. Subjects performed 5 stop-jump tasks and 3-maximum voluntary isometric contraction (MVIC) tasks before and after completing either a 9-week lower extremity strength training program (intervention) or 9-weeks of abstinence from strength training (control). Subjects: A total of 66 females who were healthy, recreational athletes were randomly assigned to either the intervention (n=33, age=22.5±2.3 yrs, ht=1.67±.07 m, wt=63.5±9.2 kg) or control (n=33, age=22.5±3.8 yrs, ht=1.67±.06 m, wt=61.1±8.35 kg) group. Measurements: Three-dimensional videography, force plates, and telemetry EMG were used to record kinematic, kinetic, and muscle activation data during the stop-jump task. A hand-held dynamometer was used to collect the MVIC strength data. Dependent variables included knee anterior shear force (K-ASF); knee flexion, hip flexion, and knee valgus joint angles at K-ASF; knee extension, hip flexion, knee valgus, and hip abduction moments at KASF, and preparatory (200msec prior to footstrike) and landing phase EMG amplitudes of the vastus lateralis, vastus medialis, rectus femoris, biceps femoris, medial hamstrings,
VU Research Portal Neural synchronization within and between regions of the motor system

Graph theory is a valuable framework to study the organization of functional and anatomical connections in the brain. Its use for comparing network topologies, however, is not without difficulties. Graph measures may be influenced by the number of nodes ( N ) and the average degree ( k ) of the network. The explicit form of that influence depends on the type of network topology, which is usually unknown for experimental data. Direct comparisons of graph measures between empirical networks with different N and/or k can therefore yield spurious results. We list benefits and pitfalls of various approaches that intend to overcome these difficulties. We discuss the initial graph definition of unweighted graphs via fixed thresholds, average degrees or edge densities, and the use of weighted graphs. For instance, choosing a threshold to fix N and k does eliminate size and density effects but may lead to modifications of the network by enforcing (ignoring) non-significant (significant) connections. Opposed to fixing N and k , graph measures are often normalized via random surrogates but, in fact, this may even increase the sensitivity to differences in N and k for the commonly used clustering coefficient and small-world index. To avoid such a bias we tried to estimate the N , k -dependence for empirical networks, which can serve to correct for size effects, if successful. We also add a number of methods used in social sciences that build on statistics of local network structures including exponential random graph models and motif counting. We show that none of the here-investigated methods allows for a reliable and fully unbiased comparison, but some perform better than others.
Identification and Prevention approaches for Web-based Attacks using Machine Learning Techniques

: Identification and prevention from web-based attacks is the need of any organization which deals with the important information about their employee and the work done by the employees. The information is the backbone of any organization and it may be a disaster when the information could be stolen. There are several factors which may affect the identification of malicious Web Contents. First one is the large quantity web data or scale of the web that can create problem. Second is the nature of data on the web. Since this heterogeneous and complex nature of data may become the problem in identification of benign websites and malicious websites. Another aspect of attacking on the multiple websites by changing their domain names, it may be very easy for attackers to attack on multiple and unexpected locations. There are many solutions provided by researchers which are providing security from various types of attacks using malicious Web Contents.
Topologically Protected Wormholes in Type-III Weyl Semimetal Co 3 In 2 X 2 (X = S, Se)

The observation of wormholes has proven to be diﬃcult in the ﬁeld of astrophysics. How-ever, with the discovery of novel topological quantum materials it is possible to observe astrophysical and particle physics eﬀects in condensed matter physics. It is proposed in this work that wormholes can exist in a type-III Weyl phase. In addition, these wormholes are topologically protected, making them feasible to create and measure in condensed matter systems. Finally, Co 3 In 2 X 2 (X = S, Se) are identiﬁed as ideal type-III Weyl semimetals and experiments are put forward to conﬁrm the existence of a type-III Weyl phase.
Digital Commons@Georgia Southern Evaluating the Effects of Self-Control Depletion on Task Persistence: A Focus on the Moderating Effects of Performance Monitoring

Self-control is essential in day-to-day life and has important implications for goal attainment, successful living, and psychological well-being. However, self-control is known to fail when resources are depleted physically, cognitively, or emotionally, which can lead to difficulties completing important tasks. Performance monitoring, which makes a standard salient so that people can sustain their performance while attending to their goals, might buffer the loss of self-control on task performance. Overall, the purpose of this study was to experimentally examine the effects of self-control depletion and performance monitoring on task persistence. Eighty undergraduate students were recruited to participate in the study. Participants were randomly assigned first to a self-control depletion condition and then to a performance monitoring condition using an online format. Group differences on task persistence were determined by how long it took participants to quit a series of anagram problems. A 2 (Self-Control Depletion) x 3 (Performance Monitoring) Factorial ANCOVA, with trait conscientiousness scores as a covariate, was analyzed on task persistence scores. Results revealed non-significant main effects for trait conscientiousness, self-control depletion condition, and performance monitoring condition. Similarly, there was a non-significant interaction effect. These results suggest that self-control depletion, performance monitoring, and trait conscientiousness largely do not affect persistence on anagram task scores. However, there were significant methodological and environmental limitations associated with the study that minimized the likelihood of detecting significant findings. The implications of the study are discussed, and future recommendations are offered.
T.O.S.S.E.D./S.A.L.A.D.: Subverting Today for a Better Tomorrow

MLA students Tres Fromme and Bradley Nestor formed Transgressing Our Severely Stunted Environmental Design/Secret Association of Landscape Architects Deconstructing (T.O.S.S.E.D./S.A.L.A.D.) in January of 1994 to inject active dialogue and discussion into the complacent discourses of landscape architecture as manifested in the University of Georgia's School of Environmental Design. After six posters, Nestor left for the “real world,” and MHP student Michael Landers joined his computer art expertise with Fromme's ideas and rhetorical musings. This relationship proved to be dynamically collaborative and energizing, producing the thirty-one posters while further defining S.A. L.A.D.'s identity.
Understanding Financial Information Seeking Behavior from User Interactions with Company Filings

Publicly-traded companies are required to regularly file financial statements and disclosures. Analysts, investors, and regulators leverage these filings to support decision making, with high financial and legal stakes. Despite their ubiquity in finance, little is known about the information seeking behavior of users accessing such filings. In this work, we present the first study of this behavior. We analyze 14 years of logs of users accessing company filings of more than 600K distinct companies on the U.S. Securities and Exchange Commission’s (SEC) Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, the primary resource for accessing company filings. We provide an analysis of the information-seeking behavior for this high-impact domain. We find that little behavioral history is available for the majority of users, while frequent users have rich histories. Most sessions focus on filings belonging to a small number of companies, and individual users are interested in a limited number of companies. Out of all sessions, 66% contain filings from one or two companies and 50% of frequent users are interested in six companies or less. Understanding user interactions with EDGAR can suggest ways to enhance the user journey in browsing filings, e.g., via filing recommendation. Our work provides a stepping stone for the academic community to tackle retrieval and recommendation tasks for the finance domain.
Application of molecular tools for pasture breeding

Objective : To ratify the importance of the application of molecular tools in the pasture breeding programs. Materials and Methods : Fifty-nine papers were consulted and reviewed, which approach the methods based on molecular (genetic markers, CRISPR technology and molecular cytogenetics), available in databases (Google Scholar, Dialnet, Redalyc, SciELO, REDIB, DOAJ and Latindex), in order to obtain information about their application in pasture breeding. Results : Information was compiled about the main molecular markers (microsatellites, randomly amplified polymorphic DNA, single-nucleotide polymorphism, amplified fragment length polymorphism), utilized to analyze the genetic diversity in pastures. Which ones are more effective and versatile was researched. It was noted that the phenomenon of apomixis can be utilized to maintain the hybrid vigor in pasture lines and that molecular marks contributed to identify apomictic plants at early ages. It was validated that the CRISPR (clustered regularly interspaced short palindromic repeats) technology can be applied in pasture species to improve agronomic attributes. Conclusions : Molecular markers, especially SNPs, are ideal for genetic diversity studies in pastures and for the identification of apomictic plants at early ages. The CRISPR technology of genomic edition constitutes a versatile tool applicable in pastures.
Vacuum Filling Simulation with Combined Lagranian and VOF Method

Jetting succeeded by accumulation is the characteristic of the vacuum filling, which is different from the conventional pressure-driven flow. In order to simulate this kind of flow, a three-dimensional theoretical model in terms of incompressible and viscous flow is established, and an iterative method combined with finite element method (FEM) is proposed to solve the flow problem. The Lagranian-VOF method is constructed to trace the jetting and accumulated flow fronts. Based on the proposed model and algorithm, a simulation program is developed to predict the velocity, pressure, temperature, and advancement progress. To validate the model and algorithm, a visual experimental equipment for vacuum filling is designed and construted. The vacuum filling experiments with different viscous materials and negative pressures were conducted and compared the corresponding simulations. The results show the flow front shape closely depends on the fluid viscosity and less relates to the vacuum pressure.
NON-EQUILIBRIUM GREEN FUNCTIONS APPROACH TO STUDY TRANSPORT THROUGH A-SI:H/C-SI INTERFACES

The microscopic mechanisms of transport and recombination mechanisms in silicon heterojunction solar cells are still poorly understood. The purpose of the present work is to understand the transport mechanisms underlying photovoltaic devices based on silicon heterojunction technology by simulating at atomistic resolution amorphous-crystalline heterointerfaces. We have used classic molecular dynamics simulations to build up realistic c-Si/a-Si:H/c-Si interface at different temperatures. The ab initio characterization has been executed on selected configurations to monitor the electronic properties of the c-Si/a-Si:H/c-Si interface. The electron transmission is calculated at different temperatures based on the non-equilibrium Green functions approach and its behavior is correlated to the evolution of the intragap states. The whole outlined process will allow designing more efficient silicon solar cells belonging to the silicon heterojunction technology.
Building a QA system (IID SQuAD track): BiDAF with Answer Pointer

Question answering is a central task in NLP that can be broadly used to evaluate machine comprehension of natural language. Improvements in the question answering task are helpful for improving general understanding of text, which has a wide range of applications. This project investigates how character-level word embeddings and Answer Pointer[1] can enhance the performance of a baseline based on the BiDAF model. The addition of both character-level word embeddings and Answer Pointer led to slightly worse performance than the baseline, which highlights how many factors beyond model architecture can have a significant effect on performance
On the use of neural networks and dilation for speech enhancement in a Generative Adversarial Network environment

Speech Enhancement (SE) is a Speech Processing ﬁeld which aims to improve speech quality of noisy signals in an attempt to increase their intelligibility and, as a consequence, to reduce the amount of listening eﬀort. Several algorithms have been proposed for speech enhancement throughout the 20th century. Most of them mainly took advantage of the spectral characteristics of the noisy signal. With the use of Neural Networks (NNs) escalating over the recent years, however, there have been several NN-based systems that are used to enhance a signal and remove noise. A relatively recent class of machine learning frameworks based on Neural Networks are Generative Adversarial Networks (GANs), which use two separate neural networks, the Generator and the Discriminator, that compete with each other in order to achieve the system’s goals. These two networks play a minimax zero-sum game, where the Generator tries to produce samples that seem real to the Discriminator with the ultimate goal of the Generator being the production of samples that the Discriminator cannot distinguish whether they erupt from the Generator or from the real distribution. In this thesis, a study of the main neural-network-based systems for speech enhancement is presented alongside a study on how a neural network concept, dilation, can be used to boost speech enhancement performance. Speciﬁcally, a comparative evaluation of the architectures of three Speech Enhancement systems (SE-WaveNet, SEGAN, SE-FFTNet) is presented as well as their comparative evaluation based on objective (PESQ, STOI, CSIG, CBAK, CVAL, SSNR) and subjective (Mean Opinion Score) metrics. Additionally, we present the experiments regarding the application of dilation in a Generative Adversarial Network environment in an eﬀort to reduce the number of parameters required for a Speech Enhancement Generative Adversarial Network. The proposed system performs well in noise supression but also results in muﬄed speech quality that is considered lower than state-of-the-art systems.
VU Research Portal Functional differences between site-specific osteoclasts

Multinucleated osteoclasts are specialized cells with the unique capacity to resorb bone. To perform this activity, the osteoclast has a specialized membrane area, the ruffled border. This membrane bears similarities with lysosomal membranes. Two lysosome associated membrane proteins (LAMP-1 and -2) represent about half of the total amount of proteins associated with the lysosomal membrane and LAMP-2 was shown to be highly expressed in the ruffled border membrane of the osteoclast. To elucidate its possible function in the formation and activity of osteoclasts, we analyzed bones and osteoclasts of LAMP-2-deficient mice, and the formation of osteoclasts in vitro. We found that the bone volume (BV/TV) of these mice was lower compared to wild type mice of comparable age. In situ osteoclasts of LAMP-2 deficient mice displayed a normal ruffled border but contained fewer vesicles. M-CSF and RANKL driven osteoclastogenesis cultures showed a higher number of osteoclasts in LAMP-2 deficient cultures compared to wild type cultures. Surprisingly, a near complete absence of osteoclast formation was found when precursors were co-cultured with LAMP-2 deficient osteoblasts. FACS analysis revealed that membrane-bound RANKL was strongly decreased on LAMP-2 deficient osteoblasts. These results show that osteoblastic LAMP-2 proved to be essential for osteoblast-induced osteoclast formation. The findings suggest that LAMP-2 plays a role in the expression of RANKL on the membrane of osteoblasts. that suggest that
Phylogeny and Biogeography of Hakes (Merluccius; TeleosteiJ: A Cladistic Analysis

-The phylogeny and historical biogeography of hakes (Merluccius) are reexamined using a cladistic analysis of Inada's (1981) osteological data. One of the 188 most parsimonious trees (cladograms), which also has the lowest (best) F value, is congruent with the scheme of evolution proposed by Ho (1974) for the hake-specific copepod para sites. Offshore hake M. albidus is the sister group of all other extant hakes. Silver hake M. bilinearis is the sister group of the three eastern Pacific hakes: Chilean hake M. gayi, Pana manian hake M. angustimanus, and Pacific hake M. productus. The five Eastern Atlantic species, European hake M. merluccius, Senegalese hake M. senegalensis, Benguelan hake M. poll-i, shallow-water cape hake M. capensis, and deep-water cape hake M. paradoxus, are monophyletic and constitute the sister group that forms a trichotomy with Argentine hake M. hubbsi and New Zealand hake M. australis. The biogeography inferred from the most parsimonious phylogenetic hypothesis of hakes dif fers from the views given by both Inada (1981) and Kabata and Ho (1981). The ancestral hake in the eastern seaboard of North America diverged into two stocks. Subse quently, one of them vicariated into a northern and a southern popula tion. The southern population moved southward first and then separated into three stocks, with one of them moving eastward and crossing the Atlantic in the region of low lati tudes. One of the two remaining stocks moved further southward and entered the Pacific through the Drake Passage. After further diver gence, a descendant stock of the northern population off the coast of North America also moved south ward; it did not enter the south Atlantic, but, instead, moved into the Pacific over the submerged Panama nian Isthmus. Some geologic events are discussed for their possible ef fects in the formation of the present pattern of hake distribution.
Food habits of estuarine staghorn sculpin, Leptocottus armatus, with focus on consumption of juvenile Dungeness crab, Cancer magister*

---'I'he impact of preda tion by staghom sculpin, Leptocottus armatus, on newly settled Dungeness crab, Cancer magister, in the Washing ton coastal estuary of Grays Harbor was studied. Staghorn sculpin are known to be generalist, opportunistic feeders, with relatively high food re quirements for estuarine growth dur ing warm summer months. During late spring or early summer, vast numbers of crab megalopae reach the estuary and settle on intertidal flats and in subtidal channels. During the next two months the young-of-the-year (0+) crab population is rapidly reduced by pre dation, including cannibalism. Crab without appropriate refuge habitat are highly vulnerable to predation by fish, and accordingly survival ofyoung crab is highest in intertidal shell and eel grass beds. Abundance and summer growth of crab and sculpin within the estuary were documented by monthly trawling surveys (April to August) in 1989. Stomach contents ofsculpin were analyzed to characterize the overall summer diet, to note monthly shifts in major prey items within two age classes of sculpin (0+ and 1+), and to contrast sculpin prey consumed in eelgrass with that consumed in shell habitats. The }lredominantprey species varied across the categories above but generally in cluded ghost and blue mud shrimp, Neotrypaea californiensis and Upogebia pugettensis, a nereid polychaete (Nereis brandti), juvenile Dungeness crab, Cancer magister, and sand shrimp (Crangon spp.). Some combination of these species composed 85% ofthe total diet lon the basis of percentage of total Index of Relative Importance; %IRI) across time and between habitats.Acom parison ofdiets ofsculpin collectedatee