Miracle-dz/UniFAR-FTUs huggingface dataset:
Delay Analysis of TSN Based Industrial Networks With Preemptive Traffic Using Network Calculus

Time-Sensitive Networking (TSN) extends traditional Ethernet to support data traffic with ultra-reliability and time-critical requirements for a range of applications in industrial automation, automotive, and aerospace. The TSN standards present guidelines to integrate different types of data traffic over a single converged network. Therefore, it is becoming an enabling technology towards the Industry 4.0 vision of integrating information and operational technologies within future Industrial Internet of Things networks. In this paper, we develop a network calculus based framework to analyse TSN based industrial networks supporting a range of data traffic classes. We apply the framework to study and analyse a well-known industrial use case, Quality Checks After Production (QCAP), with four data traffic types with different requirements in terms of reliability and end-to-end latency. In our evaluation, we validate our framework with a computer simulation model and compare the tightness of the calculated delay bounds to a state-of-the-art approach. We then use our model to analyse the upper bounds on the worst-case delay of the different QCAP traffic types and assess the factors that impact end-to-end delay, e.g. flow offset and critical links. Finally, we compare various credit accumulation rates and their impact on the traffic delay bounds.
Security-Aware Resource Binding to Enhance Logic Obfuscation

Logic obfuscation mitigates the unauthorized use of design IP by untrusted partners during integrated circuit (IC) fabrication. To do so, these techniques produce gate-level errors that derail typical applications run on the IC. Recent research has derived a link between the error rate and the Boolean satisfiability (SAT) attack resilience of logic obfuscation. As a result, it has been shown to be difficult for obfuscation to inject sufficient gate-level error to derail application-level function while maintaining resilience to SAT-style attacks. In this work, we explore use of architectural knowledge during the resource binding phase of high-level synthesis to automate the design of locked architectures capable of high-corruption and SAT resilience simultaneously. To do so, we bifurcate logic obfuscation schemes into two families based on their error profile: distributed error locking and critical minterm locking. We then develop security-focused binding/locking algorithms for each locking family and use them to bind/lock 11 MediaBench benchmarks. For distributed error locking, our proposed security-aware binding algorithms designed locked circuits capable of corrupting a typical application for 52% more wrong keys than a circuit bound with conventional algorithms. For critical minterm locking, our proposed security-aware binding algorithms designed locked circuits capable of corrupting a typical application for 100% of wrong keys while also exhibiting $26\times $ more application errors than a circuit bound with conventional algorithms. Regardless of locking family, our security-aware algorithms improved corruption without degrading SAT resilience or incurring sizable design overheads to do so. Obfuscation applied post-binding could not achieve high-corruption and SAT resilience simultaneously in these benchmarks.
Customer Loyalty: A New Approach to An Old Concept

This paper aims to capture the past practices on different conceptualization approaches toward the construct of customer loyalty. First, different conceptualization approaches toward the construct of customer loyalty will be discussed. Following to integrating of past definitions of customer loyalty, common aliases of customer loyalty construct will be positioned around the focal construct of customer loyalty. At long last, some methodological improvements will be offered based on the patterns of previous operationalization practices of customer loyalty.
Evolution and transition mechanisms of internal swirling flows with tangential entry

The characteristics and transition mechanisms of different states of swirling flow in a cylindrical chamber have been numerically investigated using the Galerkin finite element method. The effects of the Reynolds number and swirl level were examined, and a unified theory connecting different flow states was established. The development of each flow state is considered as a result of the interaction and competition between basic mechanisms: (1) the centrifugal effect, which drives an axisymmetric central recirculation zone (CRZ); (2) flow instabilities, which develop at the free shear layer and the central solid-body rotating flow; (3) the bouncing and restoring effects of the injected flow, which facilitate the convergence of flow on the centerline and the formation of bubble-type vortex breakdown; and (4) the damping effect of the end-induced flow, which suppresses the development of the instability waves. The results show that the CRZ, together with the free shear layer on its surface, composes the basi.
Research on the Optimization of Distributed Logistics Routing Based on Particle Swarm Optimization Algorithm and Ant Colony Algorithm

Aiming at the traditional logistics distribution path that paid much emphasis on cost factors but ignoring the factor of the delivery time, leading the problem of the long working time of driver affecting the quality of service, optimi - zation of logistics distribution routing problem is a kind of NP complete problem with very high practical value. In
Consumer Attitudes towards Collaborative Consumption in an Emerging Market: The Case of Egypt

The current paper aims to examine consumer attitudes towards carpooling as a collaborative consumption practice. The paper contributes to academic research through extending the theory of planned behavior to include four main determinants of attitudes and behavioral intentions towards carpooling. These determinants are economic benefits, trust, sustainability, and enjoyment. This study is a conclusive descriptive one using a quantitative survey. The target population for the current study is Egyptian millennials. Results revealed that economic benefits are the most influencing predictor of attitudes towards carpooling followed by sustainability. Subjective norms had the most influential effect on intentions towards carpooling followed by perceived behavioral control and attitudes.
Comparative Evaluation of Apical Sealing Ability of MTA based Sealers VS Resin based Sealers using Dye Penetration Technique: An in Vitro Stereomicroscopic Evaluation

:- AH Plus is one of the most commonly used epoxy resin-based sealers, due to its favorable properties. Trends in endodontics have shifted towards bio-ceramic materials; newer modification of MTA includes its use as a root canal sealer. The objective of present study comparatively evaluated the apical sealing ability of a new MTA based sealer, MTA Fillapex and a most commonly used resin sealer, AH Plus sealer. Statistical analysis of the results demonstrated significantly less dye leakage for AH Plus compared to MTA Fillapex. Mean value for MTA Fillapex group was 1.375 mm and for AH Plus group was 0.755 mm, which was statistically significant. Apical sealing ability of AH Plus was comparatively better than that of MTA Fillapex.
Flexible, wearable, and functional graphene-textile composites

In this paper, a flexible, wearable, and functional graphene-textile composite is demonstrated. Laser scribing technology is applied to fabricate a graphene film. The thin layer of polydimethylsiloxane is covered on the surface of the graphene-textile film evenly, which would improve the abrasive resistance of the film, enhance the ability to adapt to environmental changes, and extend the service life, while maintaining the device's excellent flexibility and comfort. The graphene-textile composite can achieve constant temperature heating by controlling the input voltage, detect the human movement, and perceive the human pulse signal. The composite presents great commercial prospects and a large value in the medical, daily wear, and other areas that are closely related to human lives.
Wideband low-profile dielectric resonator antenna with a lattice structure

A new kind of broadband dielectric resonator antenna with a lattice structure is presented. The top dielectric resonator broken up into a lattice structure is adopted to achieve a wide operating bandwidth in a compact size, which makes it suitable to be arrayed. A backed cavity based on substrate integrated waveguide technology is introduced to reduce the unwanted radiation from the surface wave. The antenna is excited through a slot feeding structure. Measured results show that the prototype can achieve an impedance bandwidth of 39% and a peak gain of 9.6 dBi.
FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection

Federated learning (FL) enables massive clients to collaboratively train a global model by aggregating their local updates without disclosing raw data. Communication has become one of the main bottlenecks that prolongs the training process, especially under large model variances due to skewed data distributions. Existing efforts mainly focus on either single momentum-based gradient descent, or random client selection for potential variance reduction, yet both often lead to poor model accuracy and system efficiency. In this paper, we propose FedMoS, a communication-efficient FL framework with coupled double momentum-based update and adaptive client selection, to jointly mitigate the intrinsic variance. Specifically, FedMoS maintains customized momentum buffers on both server and client sides, which track global and local update directions to alleviate the model discrepancy. Taking momentum results as input, we design an adaptive selection scheme to provide a proper client representation during FL aggregation. By optimally calibrating clients’ selection probabilities, we can effectively reduce the sampling variance, while ensuring unbiased aggregation. Through a rigid analysis, we show that FedMoS can attain the theoretically optimal ${{\mathcal{O}}}\left({{T^{ - 2/3}}}\right)$ convergence rate. Extensive experiments using real-world datasets further validate the superiority of FedMoS, with 58%-87% communication reduction for achieving the same target performance compared to state-of-the-art techniques.
THERAPEUTIC PROPERTIES OF MEDICINAL PLANTS: A REVIEW OF PLANTS WITH ANTIFUNGAL ACTIVITY (PART 1)

Previous studies showed that medicinal plants exerted a wide range of antifungal activity. These plants included: Adiantum capillus-veneris , Alhagi maurorum , Allium porrum , Allium sativum, Alpinia galangal , Ammi majus , Anchusa strigosa, Apium graveolens , Arachis hypogaea , Arundo donax, Asclepias curassavica , Asparagus officinalis , Avena sativa , Ballota nigra, Bellis perenni , Betula alba , Brassica rapa , Caesalpinia crista , Calamintha graveolens, Calendula officinalis, Calotropis procera , Capparis spinosa, Capsella bursa-pastoris , Capsicum annuum, Carum carvi , Cassia occidentalis , Chenopodium album and Chrozophora tinctoria . This review was designed to highlight the antifungal effects of these medicinal plants.
Gas Extraction Operations and changes in Livelihood Activities: Experience from Mtwara Rural District in Tanzania

The effects of gas extraction operations on livelihood activities among communities remained unknown albeit the extractions pursued in Mtwara District of Tanzania. This paper analyses the changes in local livelihood activities due to gas extraction operations in the district. The paper uses the Sustainable Livelihood Framework (SLF). Data were collected through a household survey (n=260,) focus group discussions (n=8) and key informant interviews (n=15). Quantitative data were analysed using IBM SPSS Statistics whereby descriptive and multiple response analyses were performed. Qualitative data were analysed using content analysis method to supplement the quantitative information. Results show a decline in; fishing activities from 58.5% to 17.65%; decline in crop business from 36.9% to 8.92%; decline in petty business from 12.3% to 9.2%; boat driving and repair 10.0% to 3.05% during gas extraction respectively. Also, the paper reveals an increase in; sea-shells collection from 1.75% to 39.2%; farm labour in neighbouring villages from 1.65% to 5.4% and an increase in other non-farm activities like carpentry, brick making and motor circle and bicycle repair to closer villages. The study concludes that after introduction of gas extraction operations local community’s livelihood activities have changed. We recommend more investment in education and vocational training to equip local communities with skills to engage in gas extraction industries and diversified income activities. Building rural infrastructure will improve transportability and will create job opportunities for poor households.
Better Curious Than Smart?: Enhance Inclusiveness Between Mismatched Conversational Partners: An Opinion Paper

UPDATED—March 29, 2023. As a rapidly developing user interface, conversational interaction has been adopted in an increasing number of technology products. In theory, the conversational user interface is seen as a tool that can cut through all complexity in human-agent interaction. Still, in reality, it is not yet so effective, especially for non-mainstream users, such as elderly people. One of the reasons could be that such agents and human users are considered mismatched partners in conversations. In this regard, this article illustrates why speech-enabled artificial agents, as mismatched partners, would create barriers to inclusiveness. Adding to that, by looking at other mis-matched conversational partners, it seeks ways to enhance inclusivity for human-agent conversational interactions us-ing a collaborative approach.
MINDFUL SMOKING CESSATION MEDIATED THROUGH A VOICE ASSISTANT

There is an increased interest to employ technology to help individuals combat mental health issues. With the rise of personal voice assistants, the field of HCI is facing new challenges in how to utilize these effectively in different contexts. We set out to construct a novel design that meditates mindfulness techniques for smoking cessation. We report findings from a mixed study design with nine participants using one of the two variants of the application design during a month-long deployment. The purpose of the prototypes were to explore wheter mindfulness for smoking cessation can be mediated through a voice assistant. In addition to this, the purpose was to explore the differences and similarities of how participants experienced mindfulness techniques, mediated through either a voice assistant on a smart speaker or on a mobile device, to provide insights for future development of similar applications. The paper presents quantitative data of prototype usage, measured mindfulness and measured smoking urges, as well as qualitative data of how the participants perceived mindfulness, smoking urges, their ongoing motivation to quit and their usage of the prototype. We conclude by presenting discussion points which provide further directions for researchers in the field of HCI.
Identifying Duplicate Questions using Siamese LSTM Architecture

Identifying duplicate questions is an important problem for efﬁcient knowledge sharing on sites such as Quora, and detecting semantic similarity is a research interest in natural language processing. This work uses word embeddings, siamese recurrent neural network structure, and distance metric to detect similarity between questions. The methods achieve a 0.830 validation accuracy on the Quora Question Pairs dataset. We test new methods, changing the preprocessing, word embedding, distance metric, and neural network structure. We ﬁnd that effective preprocessing, word embeddings, and distance metrics signiﬁcantly improve the model, while changing the neural network structure result in similar performance.
The Relationship Between Localization Technology and Performance of Shipping Lines in Kenya: The Moderating Effect of International Maritime Regulations

Technology has been highly rated as a key enabler of improving organizational performance. Kenya’s shipping industry experiences low logistics efficiency characterised by high transportation cost, delayed delivery, poor track and trace as well as customs clearance. Shipping lines’ performance just like any other organisation’s performance is highly pegged on proper implementation and use of the right technology. The localization technologies if well utilised can help to solve these problems. The objective of this study therefore, was to examine the relationship between localization technology and performance of shipping lines in Kenya, the moderating effect of international maritime regulations. The study was anchored on technology acceptance model as well as the task technology fit theory, institutional theory and theory of firm. The study made use of positivist research philosophy as it sought to come up a practical solution to the existing problem of poor performance among the shipping lines. The explanatory survey research design was utilized in this study. The target population was all the 2835 respondents who are logistics, IT, sales and marketing and finance staff of the 53 shipping lines listed in Kenya business directory 2021. The sample size of 438 respondents who are staff from different departments of these firms namely; logistics 109 staff, IT 96 staff, finance 103 staff, sales and marketing 130 staff were determined using the Yamane formula. Random stratified sampling design was utilized to arrive at specific respondents. Quantitative data was collected using structured questionnaires administered to the respondents. A pilot study was conducted in in 6 shipping lines from Mombasa using the 10% of the sample size; 50 questionnaires but only 44 were filled and returned. The questionnaire was tested for both validity
Adaptive Filter for Event-Based Signal Extraction

This paper introduces a new adaptive filter structure for a class of event-based signals corrupted by quasi-periodic noise. The event driven adaptive filter emerges from Widrow’ s adaptive filter, exploiting specific properties of event-based signals such as unpredictable time appearance and limited time duration. This filter can be used when reference input to Widrow’ s filter, which essentially has to be correlated to the noise, is unavailable, but is known for a fact that it is quasi-periodic. Experimental tests verify improved filter performance of the proposed solution.
Survey Paper on Security against Dynamic Routing in Wireless Sensor Networks and Internet

-Wireless sensor networks (WSNs) have been identified as one of the most innovative application of technologies in the 21stcentury. The small sized, low cost and low power sensors nodes are designed to communicate within a short range and work together to form a sensor network to gather data from a field.Cluster-based routing protocol is well known for enhancing the lifetime in WSN. Low Energy Adaptive Cluster Hierarchy (LEACH) protocol is one of the foremost and prominent protocols in the category of hierarchical protocols that enhanced the network lifetime by reducing and distributing the energy consumption among the nodes in a network. In this paper is studied of wireless sensor network based on fuzzy system. To improvement is lifetime of network with the help of fuzzy system.
Dentilisin involvement in coaggregation between

Periodontitis arises from a biofilm consisting of gram-negative anaerobic rods and spirochetes. Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia , termed the Red complex , have been co-isolated with high frequency from chronic periodontitis lesions, and these microorganisms are thought to be major pathogens of the disease. Coaggregation is an important strategy in the colonization of dental plaque biofilm by these bacteria. In the present study, we investigated the coaggregation of T. denticola strains with T. forsythia ATCC 43037 by use of visual grading or spectrophotometry. T. denticola ATCC 35405 coaggregated with T. forsythia, reaching a plateau at approximately 60 min. This coaggregation was inhibited by heat treatment of T. denticola ATCC 35405, but not of T. forsythia . Disaccharides such as sucrose, maltose, and lactose inhibited coaggregation by approximately 50%. The coaggregation reaction varied among T. denticola strains . There was somewhat less coaggregation between T. denticola ATCC 33520 and T. forsythia than between T. denticola ATCC 35405 and T. forsythia, although this difference was not statistically significant; T. denticola ATCC33521 showed a trace level of coaggregation with T. forsythia . The magnitude of coaggregation among the three T. denticola strains was proportional to their dentilisin activities. Inactivation of dentilisin abolished coaggregation activity, but inactivation of the major outer sheath protein did not. Phenylmethylsulfonyl fluoride (PMSF) also did not affect coaggregation. These results indicate that dentilisin is involved indirectly in the coaggregation between T. denticola and T. forsythia, because its proteolytic activity is not required, possibly via ligand maturation .
Towards Intersectional CUI Design Approaches for African American English Speakers with Dysfuencies

Conversational User Interfaces (CUI), such as voice assistants, offer great potential as a communication modality for people with disabilities. Unfortunately, the limited research that has examined the design of CUIs with regard to race or disability considers each in isolation, neglecting the lived experiences of African Americans with speech dysfuencies. This position paper frst reviews literature considering race and disability in CUI design. We then explore compounding inequities at this intersection for African American English speakers who stutter. Finally, we invite participants to engage in inquiry around intersectional approaches to designing equitable CUIs that honor the intersection of race and disability.
Calm Interfaces for Integrated C2 Systems

The concept of calm technology, according to Marc Weiser and John Seely Brown [26] as well as, more recently, Amber Case [3], demands that technology must be robust and unobtrusive. It should require the least amount of human attention possible and make use of the periphery of attention. It should support natural human behaviour and be integrated into established working processes. Technology must enable users to accomplish their essential tasks, which go beyond system interaction, as easily as possible. We investigated Command & Control Information Systems (C2IS) that are integrated into battle tanks and provide the crew with a picture of the current operational situation. The systems enable data exchange within the platoon and the company. However, it seems as if integrated C2IS in use do not reach their full potential as relevant information is not always entered in time and, therefore, the operational picture is not always complete and up-to-date. One reason for this is that system interaction via the existing GUI, a touchscreen and a keyboard, requires more cognitive eﬀort than can actually be provided, particularly in stressful situations. Following the principles of calm technology, we developed the concept of a distributed, multimodal interface, allowing for both input and output in diverse modalities and via various channels. This also includes other systems in use, such as the tank’s periscope. Interaction via a calm interface does not absorb the attention of the operators but instead allows them to interact with the system simultaneously with other tasks. We implemented a prototype and evaluated it with military subject matter experts (SME). Our results indicate the prototype’s usefulness and ease of use.