Miracle-dz/UniFAR-FTUs huggingface dataset:
"I'm Afraid I Can't Do That, Dave"; Getting to Know Your Buddies in a Human-Agent Team

The rapid progress in artificial intelligence enables technology to more and more become a partner of humans in a team, rather than being a tool. Even more than in human teams, partners of human–agent teams have different strengths and weaknesses, and they must acknowledge and utilize their respective capabilities. Coordinated team collaboration can be accomplished by smartly designing the interactions within human–agent teams. Such designs are called Team Design Patterns (TDPs). We investigated the effects of a specific TDP on proactive task reassignment. This TDP supports team members to dynamically allocate tasks by utilizing their knowledge about the task demands and about the capabilities of team members. In a pilot study, agent–agent teams were used to study the effectiveness of proactive task reassignment. Results showed that this TDP improves a team’s performance, provided that partners have accurate knowledge representations of each member’s skill level. The main study of this paper addresses the effects of task reassignments in a human–agent team. It was hypothesized that when agents provide explanations when issuing and responding to task reassignment requests, this will enhance the quality of the human’s mental model. Results confirmed that participants developed more accurate mental models when agent-partners provide explanations. This did not result in a higher performance of the human–agent team, however. The study contributes to our understanding of designing effective collaboration in human–agent teams.
Linking Innovation Orientation to Operational Performance: The Supply Chain Integration Mediating Effect

This study addresses four research questions: 1) Does Innovation orientation become an antecedent of Supply chain integration (SCI)? 2) Does SCI affect on Operational performance (OP)? 3) Does Innovation orientation (IO) directly affect OP? 4) Is the relationship between IO and OP mediated by SCI? Accordingly, theoretical perspectives were used to advance a conceptual model and devised hypotheses using the Resource base view and Dynamic capabilities view. This study offered relationships among IO, SCI, and OP and direct relationships between IO and OP. A model was examined and developed examining these relationships in general in the strategic defense industry consisting of state own and non-state own enterprises; including joint ventures, foreign investment and family businesses enterprises established particularly in Indonesia. This research employed a quantitative approach through surveys during the pandemic of Covid-19. Questionnaires were used to collect primary and secondary data from various sources. Through a census of 41 organizational units classified as companies producing defense and security equipment of strategic defense industry groups in Indonesia, 80% of the companies have contributed to the surveys. Data was analyzed using PLS SEM and SPSS to analyze and determine the relationships and effects among variables. Findings show that: (1) IO as an antecedent effect significantly and positively on SCI; (2) Supply chain integration has positive and significant effect on Operational performance; (3) IO effects positively and significantly on OP; (4) IO effects effect on OP through SCI positively and significantly. IO’s effect as resource and SCI as vigorous capability improves OP significantly. The strategic operations SCI model is able to advance OP with IO as antecedent.
Multimodal Characterization of a PSMA-Positive Thyroid Nodule Using 68Ga-PSMA and 124Iodine PET/US Fusion Imaging

A 54-year-old male diagnosed with prostate cancer was referred for 68Gallium-PSMA-11 PET/CT. The scan revealed a solitary PSMA-positive thyroid lesion. On PET/ultrasound fusion imaging, a nodule with moderate risk of malignancy (TIRADS 4B) could be unambiguously correlated. Additional 124Iodine PET/ultrasound fusion imaging revealed normal iodine uptake within the PSMA-positive thyroid nodule. Fine-needle aspiration cytology was performed using an ultrasound needle-guidance system. The cytopathological investigation confirmed a benign thyroid nodule and excluded a thyroid carcinoma as well as a prostate cancer metastasis. Immunohistochemistry was positive for thyroglobulin staining.
Passenger's Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces

: The development of autonomous navigation systems for personal mobility vehicles is underway to support mobility in large-scale facilities such as airports and shopping malls where pedestrians coexist. One of the required functions of autonomous navigation is comfort, such as not causing anxiety to the passengers. The purpose of this study is to clarify the characteristics of passenger’s comfort recognition, that is, how the passenger feels comfortable depending on the behavior of the surrounding pedestrians and the vehicle when the personal mobility vehicle moves autonomously in a crowded environment. An experiment was conducted to obtain subjective assessment of passenger comfort using a VR simulator. By focusing on situation awareness as a process affecting passenger’s comfort recognition, the inﬂuence of situation awareness on passenger’s comfort recognition was analyzed and the characteristics of passenger’s comfort recognition were discussed.
Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy

: With the advent of self-driving cars, and big companies such as Waymo or Bosch pushing forward into fully driverless transportation services, the in-vehicle behaviour of passengers must be monitored to ensure safety and comfort. The use of audio-visual information is attractive by its spatio-temporal richness as well as non-invasive nature, but faces the likely constraints posed by available hardware and energy consumption. Hence new strategies are required to improve the usage of these scarce resources. We propose the processing of audio and visual data in a cascade pipeline for in-vehicle action recognition. The data is processed by modality-speciﬁc sub-modules, with subsequent ones being used when a conﬁdent classiﬁcation is not reached. Experiments show an interesting accuracy-acceleration trade-off when compared with a parallel pipeline with late fusion, presenting potential for industrial applications on embedded devices.
Application of the FESWMS-2DH Software to Solve the Navigation Problem at EL-Menya Bridge in Egypt

The purpose of this paper is to introduce the application of a two-dimensional Finite Element Surface Water Modelling System on a navigation problem located along the Nile river in front of El-Menya bridge, (250 km south of Cairo). The FESWMS-2DH [1] was used to simulate steady flow at the area under investigation. FESWMS-2DH was developed for the U.S. Federal Highways Administration by the water resources division of the U.S. Geological survey.
Content Relevance-Oriented Data Transport Framework for Interplanetary Networks

The physical restrictions on network performance due to the large propagation delay between planets as well as the intermittent connect ivity form the main challenge for interaction effectiveness and efficiency of communi cations within Interplanetary Networks (IPNs) as well as other types of Deep-Space Communication Networks (DSCNs). To reduce the influence of this relatively large delay on the efficiency and effectiveness of the communication process, the known solutions intend to prioritize and schedule the files/contents in conjunction with certain prioriti zation schemes. However, because often only a few number of data blocks (DBs) of those fil es, which are addressed to be as most important, are really relevant, the prioritization of such DBs over the rest within the related contents adds new dimension for increasing the effe ctiveness of the communication process, especially in sense of reducing arrival time of rel evant DBs. Therefore, this paper focuses on transporting DBs basing on the “Most Relevant First Transmission (MRFT)” concept on content-level. Accordingly, a novel concept, called Content Relevance-Oriented Data Transport (CRODT), with related system model is presented for prioritizing not only events and application-related data files and packets/mess ages, but also prioritizing data blocks in relation with MRFT concept. In that respect, this p aper discusses the phases of CRODT operation and describes the related system components. After that, a brief use scenario describes the CRODT functionality in a certain envi ronment. Finally, CRODT concept can also be used to improve the performance and response time of terrestrial networks.
Server Deployment and Load Balancing in Stochastic Mobile Edge Computing Networks

This letter investigates the server deployment for a randomly deployed mobile edge computing (MEC) network. Under a given density of users, the theoretical analysis shows that there exists an optimal deployment density of MEC servers to maximize the network-wide resource utilization, and the optimum can be determined by bisection searching. In the analysis, a modified gamma distribution is introduced to deal with the inaccurate approximation of the existing methods. Moreover, we propose a workload migration scheme to tackle load imbalance and improve network resource utilization. Numerical simulations verify the analytical results and demonstrate the superior performance of the proposed scheme.
Biocompatible Gas Plasma Treatment Affects Secretion Profiles but Not Osteogenic Differentiation in Patient-Derived Mesenchymal Stromal Cells

Cold physical plasma (CPP), a partially ionized gas that simultaneously generates reactive oxygen and nitrogen species, is suggested to provide advantages in regenerative medicine. Intraoperative CPP therapy targeting pathologies related to diminished bone quality could be promising in orthopedic surgery. Assessment of a clinically approved plasma jet regarding cellular effects on primary bone marrow mesenchymal stromal cells (hBM-MSCs) from relevant arthroplasty patient cohorts is needed to establish CPP-based therapeutic approaches for bone regeneration. Thus, the aim of this study was to derive biocompatible doses of CPP and subsequent evaluation of human primary hBM-MSCs’ osteogenic and immunomodulatory potential. Metabolic activity and cell proliferation were affected in a treatment-time-dependent manner. Morphometric high content imaging analyses revealed a decline in mitochondria and nuclei content and increased cytoskeletal compactness following CPP exposure. Employing a nontoxic exposure regime, investigation on osteogenic differentiation did not enhance osteogenic capacity of hBM-MSCs. Multiplex analysis of major hBM-MSC cytokines, chemokines and growth factors revealed an anti-inflammatory, promatrix-assembling and osteoclast-regulating secretion profile following CPP treatment and osteogenic stimulus. This study can be noted as the first in vitro study addressing the influence of CPP on hBM-MSCs from individual donors of an arthroplasty clientele.
A Design Method for Nonlinear System PDC Controller Based on LMI

A design method for parallel-distributed compensation (PDC) controller is proposed in this paper. The method combines stable conditions of closed-loop T-S fuzzy systems, desired control performance and constraints on the control input into a framework of linear matrix inequalities (LMIs), and the parameters of controller can be obtained by convex programming techniques for LMIs. The design method is verified by designing a PDC controller for an inverted pendulum using the proposed method and the simulation results demonstrate the efficiency of the method.
Development of flip chip package technology

Flip chip technology is widely applied in the integrated circuit package. The development of flip chip technology(FC) is introduced, and key technologies, including UBM, solder bump, underfill, substrate, are also discussed. Several new techniques such as the Cu pillar technology and C4NP are stated. Besides, the reliability of flip chip is expounded. On top of these, the combining with the trend of FC and TSV(through-silicon-via) technology is expected in the end.
Attention-based Gender Recognition on Masked Faces

Gender recognition from face images can be profitably used in several vertical markets, such as targeted advertising and cognitive robotics. However, in the last years, due to the COVID-19 pandemic, the unreliability of such systems when dealing with faces covered by a mask has emerged. In this paper, we propose a novel architecture based on attention layers and trained with a domain specific data augmentation technique for reliable gender recognition of masked faces. The proposed method has been experimentally evaluated on a huge dataset, namely VGGFace2-M, a masked version of the well known VGGFace2 dataset, and the achieved results confirm an improvement of around 4% with respect to traditional gender recognition algorithms, while preserving the performance on unmasked faces.
The that-trace effect and island boundary-gap effect are the same:
 Demonstrating equivalence with null hypothesis significance testing and
 psychometrics

This paper demonstrates a novel approach in experimental syntax, leveraging psychometric methods to resolve a decades-old puzzle. Specifically, gaps in subject position are more acceptable than gaps in object position in non-islands, while the reverse is true in islands (the Island Boundary-Gap Effect ). Attempts at explaining this asymmetry generally attribute it to a violation of the same constraint that renders gaps unacceptable after the overt complementizer ‘ that ’ (the That-Trace Effect ). However, the two effects involve distinct syntactic structures, and there is no a priori reason to believe they are the same beyond the elegance of a unified account. One limitation has been the difficulty of testing for equivalence in the Null Hypothesis Significance Testing framework: when two constructs behave similarly, it generally constitutes an uninterpretable null result. Experiments 1 and 2 use standard experimental methods to circumvent this problem, but ultimately provide evidence that is at best just consistent with equivalence. Experiment 3 demonstrates a novel approach which shows that individual differences in the That-Trace Effect correlate with individual differences in the Island Boundary-Gap Effect, after removing correlated variance from carefully-chosen controls. This psychometric approach provides positive evidence that the two effects do indeed derive from the same underlying phenomenon.
Preserving Order during Crossing Minimization in Sugiyama Layouts

: The Sugiyama algorithm, also known as the layered algorithm or hierarchical algorithm, is an established algorithm to produce crossing-minimal drawings of graphs. It does not, however, consider an initial order of the vertices and edges. We show how ordering real vertices, dummy vertices, and edge ports before crossing minimization may preserve the initial order given by the graph without compromising, on average, the quality of the drawing regarding edge crossings. Even for solutions in which the initial graph order produces more crossings than necessary or the vertex and edge order is conﬂicting, the proposed approach can produce better crossing-minimal drawings than the traditional approach.
Heuristic Approaches for Experimentation in Catalyst Optimization

In this paper we give an overview of algorithms developed to aid catalyst optimization at the Mexican Institute of Petroleum. We present a methodology that uses an evolutionary approach and ideas from tabu search and simulated annealing to guide the search for optimum catalytic materialsbased on previous experimentation. We give results on butane isomerization in ZrO2/Al2O3, and compare the approach with other theoretical models. The method leads to higher efficiency and reduction in the number of tested materials.
Sleep Quality and Emotional State of Medical Students in Dubai

Poor sleep quality has been reported to be common amongst medical students and healthcare professionals worldwide. Sleep disturbance has been associated with increased rates of burnout and depression. As a result, this has been negatively impacting performance and functioning. Research on this topic is limited in the United Arab Emirates (UAE). This study is aimed at exploring sleep pattern and the emotional state of medical and dental students in Dubai, UAE. This cross-sectional study was based on an electronic survey sent to 181 medical and dental students. Of the 181 invitations, 96 individuals agreed to participate and complete the rating scales. The Pittsburgh Sleep Quality Index was utilized to explore sleep duration, quality, and daytime functioning. The Positive and Negative Affect Scale was used to assess the emotional states of the participants. Overall, the findings revealed diminished sleep duration. The average duration of sleep amongst the study participants was 5 hours and 24 minutes, which is significantly below the recommended duration as per sleep guidelines. Results also showed a significant positive correlation between total sleep duration and overall sleep quality with enthusiasm during the day. Future research designed to explore factors contributing to sleep efficiency, in more depth, as well as strategies to enhance sleep quality is highly warranted.
Post-sonic Perspectives on Socially Engaged Compositional Practices: Composing ‘after sound’ and beyond music

This article addresses the precedence given to sound in musical analysis and argues that socially engaged composers might reconsider the importance they place on sonic output and instead pay greater attention to how we critically engage with the subjects that stimulate our musical practice. G. Douglas Barrett’s theorisation of music ‘after sound’ is established as a crucial methodology, one that provides an important discourse around critical engagements that have largely been neglected in favour of investigations into abstracted sonic materials. The vocabulary provided by Barrett is, in this article, used to meaningfully appraise the impact of a situated musical performance and its dialogue with society. Specifically, the three authors collectively explore the implications of Barrett’s writing for the conception, formation and evaluation of their own socially engaged compositional practices. Subsequently, this discussion also illustrates the methods by which Barrett’s approach is instrumentalised as a compositional device for socially engaged composition, rather than as an analytical tool for already completed works. Finally, the authors conclude with an alternative exploration of what ultimately lies beyond a ‘music after sound’, one that problematises the notion of a specialist composer today.
The performance of an annular vane swirler

In connection with the desirability of optimizing the design of a gas turbine combustion chamber, there exists a need for a more complete understanding of the fluid dynamics of the flow in such chambers. In order to satisfy this need, experimental and theoretical research is being conducted with the objective to study two-dimensional axisymmetric geometries under low speed, nonreacting, turbulent, swirling flow conditions. The flow enters the test section and proceeds into a larger chamber. Inlet swirl vanes are adjustable to a variety of vane angles. The present investigation concentrates on the time-mean flow characteristics which are generated by the upstream annular swirler. The investigation makes use of a five-hole pitot probe technique. A theoretical analysis of swirl numbers associated with several idealized exit velocity profiles is included, and values of the ratio of maximum swirl velocity to maximum axial velocity at different swirl strengths are given for each case.
The influence of picture book design on visual attention of children with autism: a pilot study

Taking 22 children with mild and moderate autism as subjects and using the TobiiX 120 eye-tracker to record their eye movements in visual search of images in picture books, the characteristics of the process of autistic children viewing picture books were explored. Two measures, fixation counts and gaze duration, were used alongside attention heatmap, to explore the visual patterns among children with autism viewing two types of researcher-made picture books and an ordinary picture book. Using a within-subject design, it was found that children with autism could sustain longer gaze duration and have more fixation points on the effective area of the picture book content when viewing researcher-made picture books than when viewing the ordinary picture book, suggesting better visual attention to single-object and single-pattern picture books. The study offers insights and support for related picture book reading and teaching in the future.
Production of Fungal Nanochitosan Using High-Pressure Water Jet System for Biomedical Applications

In this present work, fungal nanochitosans, with very interesting particle size distribution of 22 µm, were efficiently generated in high-yield production using a high-pressure water jet system (Star Burst System, Sugino, Japan) after 10 passes of mechanical treatment under high pressure. The specific characterization of fungal chitosan nanofibers suspensions in water revealed a high viscosity of 1450 mPa.s and an estimated transparency of 43.5% after 10 passes of fibrillation mechanical treatment. The mechanical characterization of fungal nanochitosan (NC) film are very interesting for medical applications with a Young’s modulus (E), a tensile strength (TS), and elongation at break (e%) estimated at 2950 MPa, 50.5 MPa, and 5.5%, respectively. Furthermore, we exhibited that the fungal nanochitosan (NC) film presented very good long-term antioxidant effect (reached 82.4% after 96 h of contact with DPPH radical solution) and very interesting antimicrobial activity when the nanochitosan (NC) fibers are mainly activated as NC-NH3+ form at the surface of the film with 45% reduction and 75% reduction observed for S. aureus (Gram-positive) and E. coli (Gram-negative), respectively, after 6 h of treatment. These promising antimicrobial and antioxidant activities indicated the high potential of valorization toward biomedical applications.
Power Saving Method for Target Tracking Sensor Networks to Improve the Lifetime

Target tracking sensor networks monitor and track the movement of a target object. Power management in these sensor networks is crucial to prolong the network lifetime. We propose a new protocol PMM (Power Management Method for tracking sensor networks) that provides a dynamic sleep schedule for the radios such that maximum power is saved without affecting the sensors' activities. When there is no target, the communication modules of sensor nodes are put into sleep using a static schedule, except the outline nodes. Inside nodes do not perform the sensing activity in the surveillance state. If a target arrives, the sleep schedule for the radios is changed dynamically in order to send the arrival message to neighboring sensors. Whenever receiving the arrival message, the sleeping neighbor nodes start sensing. The objectives of our protocol are to (1) balance the lifetime of all the sensor nodes in the network to increase the network lifetime (2) reduce the power consumption by activating the sensors only when the target arrives in that region. Simulation results show that PMM provides a significant amount of Power savings and potentially increases the network lifetime by 25% more than S-MAC at very less load.