Miracle-dz/UniFAR-FTUs huggingface dataset:
ℋ2 and ℋ∞ Filtering for Continuous-Time Markov Jump Lur'e Systems with Sector Bound Optimization

This paper is about the and filtering of Markov Jump Systems subject to a class of nonlinearities which include them on the Lur'e systems framework. The proposed filters are robust to nonlinearities belonging to a given sector with maximum slope. With regard to the availability of the Markov parameter, we present strategies which allow us to design either mode-dependent and modeindependent filters, with sector bound optimisation. The results are illustrated by two examples.
Fabrication and functionalization of biocompatible carboxymethyl chitosan/gelatin membranes via anodic electrophoretic deposition

Peri-implant surgical site infection is a significant challenge in oral implant surgery. Numerous surface functionalization methods, including electrophoretic deposition, have been studied to functionalize implant surfaces to prevent peri-implantitis. However, it is still challenging to load anti-inflammatory agents having negative charges into electrophoretic deposition membranes. The present study aimed to use water-soluble chitosan derivatives to fabricate negatively charged carboxymethyl chitosan/gelatin (CMCG) composite membranes on titanium (Ti) substrates via anodic electrophoretic deposition (AED). Membranes incorporating different amounts of gelatin were labeled as CMC, CMCG4, CMCG6, and CMCG8. X-ray diffraction and Fourier transform infrared spectroscopy tests verified that CMCG could be deposited on Ti disks via AED. The result of the contact angle test showed that groups incorporating gelatin had a certain degree of hydrophobicity. After rehydration, the membranes swelled by approximately 200% in weight. Fluorescence microscopy and scanning electron microscopy images showed that bone marrow stromal cells (BMSCs) on membranes stretched well, showing a good cell adhesion ability. The CCK-8 test demonstrated that CMCG6 had the highest proliferation rate. Cell apoptosis studies showed that CMCG could inhibit apoptosis of BMSCs statistically. It suggests that the CMCG membrane fabricated by AED would be a potent candidate for surface functionalization of biomaterials with negative charges.
FOREAL: RoBERTa Model for Fake News Detection based on Emotions

Detecting false information in the form of fake news has become a bigger challenge than anticipated. There are multiple promising ways of approaching such a problem, ranging from source-based detection, linguistic feature extraction, and sentiment analysis of articles. While analyzing the sentiment of text has produced some promising results, this paper explores a rather more fine-grained strategy of classifying news as fake or real, based solely on the emotion profile of an article’s title. A RoBERTa model was first trained to perform Emotion Classification, achieving test accuracy of about 90%. Six basic emotions were used for the task, based on the prominent psychologist Paul Ekman fear, joy, anger, sadness, disgust and surprise. A seventh emotional category was also added to represent neutral text. Model performance was also validated by comparing classification results to other state-of-the-art models, developed by other groups. The model was then used to make inference on the emotion profile of news titles, returning a probability vector, which describes the emotion that the title conveys. Having the emotion probability vectors for each article’s title, another Binary Random Forest classifier model was trained to evaluate news as either fake or real, based solely on their emotion profile. The model achieved up to 88% accuracy on the Kaggle Fake and Real News Dataset, showing there is a connection present between the emotion profile of news titles and if the article is fake or real.
Early evolution constrained by high-
p⊥
 quark-gluon plasma tomography

We show that high-p⊥ RAA and v2 are sensitive to the early expansion dynamics, and that the high-p⊥ observables prefer delayed onset of energy loss and transverse expansion. To calculate high-p⊥ RAA and v2, we employ our newly developed DREENA-A framework, which combines state-of-the-art dynamical energy loss model with 3+1-dimensional hydrodynamical simulations. The model applies to both light and heavy flavor, and we predict a larger sensitivity of heavy flavor observables to the onset of transverse expansion. This presents the first time when bulk QGP behavior has been constrained by high-p⊥ observables and related theory, i.e., by so-called QGP tomography.
Discovering Resources on the Web|A Comparison of Discovery Mechanism for the Web of Data and the Web of Documents

Discovering information on the Web in a scalable and reliable way is an important but often underestimated task. Research on discovery itself is quite a young eld. Hence, to date not many Web-compliant discovery mechanism exist. Firstly, we introduce a layered Abstract Discovery Model and discuss its features. Then, driven by use cases and requirements, we review three promising discovery proposals in the context of the Web of Data and the Web of Documents: XRD, POWDER, and voiD.
Advanced Flapping Wing Structure Fabrication for Biologically-Inspired Hovering Flight

Insect wings have complicated vein structures that are strong enough to support large acceleration, light enough to endure high flapping frequency and flexible enough to passively deform to enhance aerodynamic performance. As hover-capable artificial flapping flight has been realized in micro/nano air vehicles (by Aerovironment Inc.), the technical challenge for creating an efficient flapping wing has attracted more research attention. This work presents the current flapping wing structure development at University of Florida, in tailoring the flexibility and mass distribution of membrane-laminated and carbon-fiber-skeletonized anisotropic flexible wings: the wing skeletal topology has been designed for enhancing passive deformation for a one-degree-of-freedom kinematics; the cross-section of each skeletal member is controlled with modern manufacturing techniques to produce the designed structure; and the final wing is carefully examined for its thrust generation efficiency and aeroelastic properties (wing deformation). Several challenging aspects are overcome: realizing a varying skeletal cross-section to achieve a controlled stiffness to weight ratio, determining the skeletal topology and mass distribution, developing a reliable and consistent manufacturing technique and examining the wings with different methods. The results show that a more energy efficient design can be achieved with the developed manufacturing techniques that allow for complicated structures.
An EEG-Based Investigation of the Effect of Perceived Observation on Visual Memory in Virtual Environments

The presence of external observers has been shown to affect performance on cognitive tasks, but the parameters of this impact for different types of tasks and the underlying neural dynamics are less understood. The current study examined the behavioral and brain activity effects of perceived observation on participants’ visual working memory (VWM) in a virtual reality (VR) classroom setting, using the task format as a moderating variable. Participants (n = 21) were equipped with a 57-channel EEG cap, and neural data were collected as they completed two VWM tasks under two observation conditions (observed and not observed) in a within-subjects experimental design. The “observation” condition was operationalized through the addition of a static human avatar in the VR classroom. The avatar’s presence was associated with a significant effect on extending the task response time, but no effect was found on task accuracy. This outcome may have been due to a ceiling effect, as the mean participant task scores were quite high. EEG data analysis supported the behavioral findings by showing consistent differences between the no-observation and observation conditions for one of the VWM tasks only. These neural differences were identified in the dorsolateral prefrontal cortex (dlPFC) and the occipital cortex (OC) regions, with higher theta-band activity occurring in the dlPFC during stimulus encoding and in the OC during response selection when the “observing” avatar was present. These findings provide evidence that perceived observation can inhibit performance during visual tasks by altering attentional focus, even in virtual contexts.
A Sensitivity Analysis of Energy Modeling Input Parameters for Energy Retrofit Projects

A lack of standards that define the energy auditing process and the energy modeling methods for the retrofit building sector has resulted in variable outcomes. One cause of the variability is the limited time industry members have to devote to energy model development coupled with the lack of understanding of which input parameters are the most impactful in terms of energy use projections. For the research presented a case study looked at a retrofitted building which was not performing as the energy model created during the retrofit design had projected and identified possible reasons for the discrepency. LEED documentation, the retrofit design drawings, and the energy model report were used to recreate an eQuest model that aligned with the original eQuest model used for the retrofit design process. A sensitivity analysis was performed to determine the impact specific energy modeling input parameters, identified through the case study, had on the energy analysis outputs. The intent of the research was to confirm that energy modeling input parameters have varying impact on energy use projections. With a clearer understanding of the varying impact input parameters have on energy use projections, industry members can begin to get a sense of where they should allocate time when developing an energy model.
Shared Development of Labs and Web-based Lectures for Precision Agriculture Course.

Faculty from three California Universities (Cal Poly, CSU Fresno, and UC Davis) are developing web-based education in Precision Agriculture http://www.precisionag. org/. A USDA grant provides support for community college and university professors throughout the USA to develop a class in Precision Agriculture for their educational institution. In a companion effort, an Agricultural Research Initiative (ARI) grant is focused on providing support for persons in California agriculture to investigate possible applications of Precision Agriculture technologies. In a rapidly changing field such as Precision Agriculture, continuing education is important. The Precision Agriculture class provides a forum where educators, users, and service providers can find ways to work together for the benefit of all. These groups receive free support in the form of field days and on line discussion groups. This paper discusses issues related to the development and support of these materials. The Internet provides many new possibilities for teaching. Through experimentation, best practices will be identified. New technologies are being developed that will enhance the value of the Internet for education.
A Pilot Interdisciplinary Falls Screening and Educational Event: Perceptions of Community-Dwelling Older Adults

Introduction: Falls are the leading cause of death and disability among people 65 years of age and older. Likewise, falls have psychological consequences which often lead to avoidance of activities, fear of falling, and further disabilities. Even though the impact of falls on one’s daily life and independence are substantial, evidence suggests that falls can be prevented by multi-factorial assessments and client-specific interventions. Objective: The purpose of this study was to determine (a) perceived knowledge of falls, (b) reported confidence in fall prevention, (c) perceived likelihood of implementing falls screening recommendations, (d) reported fear of falling, and (e) perceived value and satisfaction among community-dwelling older adults who attended an interdisciplinary falls screening and education event. Methods: An interdisciplinary group of professionals from behavioral sciences, family medicine, occupational therapy, optometry, pharmacy, and physical therapy screened 33 community dwelling older adult participants (66-84 years of age) using multi-factorial assessments and discipline-specific screening tools. Individualized recommendations were provided to each participant in verbal and written formats. Participants then completed a questionnaire at the conclusion of the event regarding their perceptions of knowledge gained about falls, confidence in preventing falls, perceived likelihood of implementing fall screening recommendations, fear of falling, and overall feedback regarding the event. Results: The majority of the participants indicated increased perceived knowledge of falls, confidence in preventing falls, and perceived high likelihood of implementing recommendations, along with decreased fear of falling. The majority of the participants also found the event to be valuable (85%), enjoyable (94%), and easy to understand (100%). Conclusion: The results of this study suggest that participants found this falls screening event to be valuable and improved their knowledge regarding falls, as well as their confidence in being able to prevent falls. This study highlights the potential value of an interdisciplinary team approach to increase knowledge, enhance prevention, and decrease fear of falling in community dwelling older adults.
High-Capacity Space-Division Multiplexing Communications With Silicon Photonic Blind Source Separation

Space-division multiplexing is a widely used technique to improve data-carrying capacities in both wireless and optical communication systems. However, tightly packed spatial channels cause severe crosstalk. High data rates and large channel counts impose severe constraints on resolving the crosstalk using traditional digital signal processing algorithms and electronic circuits. In order to solve these issues, this paper presents a silicon photonic system combining high-speed silicon photonic devices with a novel blind source separation (BSS) algorithm. We first demonstrate using photonic BSS to undo modal crosstalk in a short-reach multimode optical fiber interconnect for intra-data-center communications. The proposed photonic BSS system inherits the advantages of photonic matrix processor and the “blindness” of BSS, leading to superior energy and cost efficiency and reduced latency, while allowing to recover the signals using a sub-Nyquist sampling rate and in a free-running mode, and offering unmatched agility in signal format and data rate. The feasibility of using photonic processors for mode crosstalk equalization has been recently demonstrated, assisted with training sequences. Our approach, photonic BSS, in contrast, can tackle the more difficult problem of making the receiver transparent to any data rate and modulation format, and workable with slow and cost-effective electronics. In addition, we find that photonic BSS has a much better scaling law for space-division multiplexing (SDM)-based communication systems than digital signal processing (DSP). When compared to state-of-the-art DSP, photonic BSS can reduce system power consumption, speed, and latency by several orders of magnitude, particularly for high-capacity communications with high data rates per channel and a large number of channels. Photonic BSS has the added advantages of being agnostic to transmission content, making it exceptional at protecting communication privacy. This paper also discusses our previous work in demonstrating photonic BSS for privacy protection in wireless multiple-in multiple-out (MIMO) communications using silicon photonic micoring resonator (MRR) weight banks.
Reply on CC1

We thank John Ding for his comments on our manuscript. Ultimately, our study was not focused on altering the LSTM architecture but rather on how we can best interpret the architecture that has already been shown to exhibit state of the art performance for rainfall runoff modelling. Other work has explored alterations to the LSTM architecture, and of particular interest is the Mass Conserving LSTM (Hoedt et al 2021) that some of the authors of this paper were involved in. That being said, the lead author, Thomas Lees, would be more than happy to discuss this further if you would like to reach out to him and organise a time to discuss. Thank you again for your interest in our work.
Uniform parallel machine scheduling problems with a truncation sum-of-logarithm-processing-times-based learning effect

In internet manufacturing, a manufacturing cloud usually deals with multiple requests at the same time. Similar problems may appear if a manufacturing cloud is equipped with some kind of intelligence and can learn to process a later job more quickly. This research considers the problem of scheduling jobs on uniform parallel machines to minimise total weighted tardiness (TWT) under a truncation sum-of-logarithm-processing-times-based learning effect. In the proposed learning model, the actual job processing time is a function that depends not only on the processing times of the jobs already processed but also on a control parameter. An iterated local search (ILS) has been proposed to solve this problem. Computational results of applying the ILS to some cases show that the proposed ILS outperforms other metaheuristics (simulated annealing and ant colony optimisation) in terms of TWT. The present research also analyses the impacts of truncation learning effects on objective values.
E-LOAM: LiDAR Odometry and Mapping With Expanded Local Structural Information

This paper investigates the real time LiDAR odometry and mapping (LOAM) problem in unstructured environments. We propose E-LOAM (LOAM with Expanded Local Structural Information), a paradigm which expands the pre-extracted geometric information with local point cloud information around the geometric feature points. State-of-the-art approaches usually extract pointed geometric features as the only correspondence primitives for point cloud scan-to-scan and scan-to-map registration. We argue that, in unstructured environments, sometimes, the extracted geometric features are too sparse for adequate point cloud registration. Therefore, E-LOAM expands the ‘pointed’ geometric correspondence primitives with the point clouds around them, i.e., the local point clouds in the voxel around the feature point. The local point clouds, approximated by a multivariate normal distribution, offer additional local structural information, on top of the pointed geometric information. Additionally, to enrich the sparse geometric features, we make use of the intensity information of point clouds, and extract the places with high intensity variations as additional feature points. Experimental results with the KITTI dataset show the efficacy of E-LOAM, when compared with state of the arts. We further implement E-LOAM on a real robot platform, and evaluate E-LOAM with in-field tests.
Study on socio- economic factors affecting women participation in gram panchayat activities in Haryana

Title of Thesis : A study on socioeconomic factors affecting women participation in gram panchayat activities in Haryana Name of Degree Holder : Sunita Singh Admission Number : 2007BS20D Title of Degree : Doctor of Philosophy Name and Address of : Dr. (Mrs.) Vinod Kumari Major Advisor Assoc. Professor, College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Campus Kaul – 136021. Degree awarding University : Chaudhary Charan Singh Haryana Agricultural University Hisar – 125 004. Year of award of Degree : 2013 Major Subject : Sociology Total pages in thesis : 67 + iv + XV Number of words in Abstract : Approx. 395
Enzimas exógenas em dietas contendo farelo de trigo e outros alimentos alternativos para aves: revisão

A nutrição de aves é uma ciência dinâmica de grande importância para a produção animal. Isto faz com que sempre haja assuntos atuais que carecem ainda de estudos mais refinados, constituindo-se em vasto campo de trabalho para os cientistas da área. Nesta revisão os autores abordam dois temas atuais: o uso de enzimas exógenas e de alimentos alternativos em nutrição de aves. Além disto, relacionam os dois temas de forma didática e compilam, à luz da literatura científica nacional e internacional, os resultados disponíveis sobre o uso de enzimas exógenas em dietas de aves, principalmente contendo alimentos alternativos.
Cadmium and lead excess differently affect growth, photosynthetic activity and nutritional status of Trigonella foenum-graecum L.

Abstract Context. Heavy metal contamination of soils is a serious environmental problem worldwide. Cadmium (Cd) and lead (Pb) are considered among the most important types of pollutants. Aim. To investigate the response of a local fenugreek cultivar against lead and cadmium. MethodsPhysiological changes were studied under different concentrations (0, 100, 200, 300 and 400 μM) of PbCl2 and CdCl2. Key results. Fenugreek growth decreased gradually with increasing Cd and Pb supply. This decrease was accompanied by a gradual decline in shoot and root length and photosynthetic parameters. However, Cd treatments showed pronounced effects in fenugreek seedlings as compared to Pb. The tolerance index was between 0.41 and 0.81, which suggests relative tolerance of this cultivar to Pb and Cd. This species was also able to maintain stable water status. Nevertheless, in presence of high Cd concentration (400 μM), this species showed substantial decrease in CO2 assimilation (86%), transpiration rate (87%), stomatal conductance (57%), chlorophyll content (35%) and carotenoid content (53%). Shoot proline content was increased significantly under 200 and 300 μM Cd, and slightly under 100 and 200 μM Pb. Furthermore, Cd and Pb induced a decrease in shoot magnesium and phosphorus content. Conversely, shoot iron content was increased. Data showed that fenugreek accumulated Cd, and translocated to the harvestable parts (up to 20 mg/kg DW under 400 μM). However, Pb was mostly accumulated in roots. Conclusions. Our results revealed that the relative tolerance of fenugreek to Pb excess was coupled to a remarkable accumulation of this element in root, which favourite the phytostabilisation process. Implications. FM, FL, SJ and OTZ execute the manipulation and the culture of plants. FM, OTZ, IN and KZ analyse and examine obtained results. FM, OTZ and KZ write and preparethe manuscript. IN, HM and KZ prepare the conception and the realisation ofthis work.
Youth living arrangements and household employment deprivation: Evidence from Spain

Objective: We study the role of employment deprivation and severe poverty at the household level on youth living arrangements in Spain in three different business cycle periods. Background: Previous evidence has shown that recessions in Southern European countries make young individuals turn to their families for financial protection. Most analyses assume that these cohabiting decisions are only related to the young individual's employment status while other household members’ employment deprivation is irrelevant. Method: We use information from the Quarterly Labour Force Survey between 2005 and 2017 and a very flexible indicator to measure the dimension of employment deprivation at the household level and estimate its role on the probability of being emancipated with a linear probability model. To avoid reverse causation, we also estimate two seemingly unrelated regressions of the probability of cohabiting with parents and the dimension of household employment deprivation. Results: Our results confirm that the Great Recession increased the probability of parental co-habitation, even if with some delay in relation to the business cycle. We reject the assumption about the irrelevance of other household member’s employment deprivation on youth cohabitation decisions because its dimension determines them. Conclusion: Policies aiming to improve emancipation should not only increase youth labour market opportunities but provide either more employment hours or more income transfers to those living in households where young individuals live.