Miracle-dz/UniFAR-FTUs huggingface dataset:
Landmark Aided Robot Path Planning using Stepping-Ahead Firefly Algorithm

The focus of the research was on solving landmark based robot path planning problems using Stepping-Ahead Firefly Algorithm (SAFA). The researchers wanted to determine which landmark selection algorithm is best in selecting landmarks as waypoints so that the convergence time and path length are minimal. Another purpose of this study was to confirm if SAFA can be combined with the equation of motion to solve the motion planning problem of a carlike robot. The experiment was designed using the Field Of View (FOV) and inRegion as landmark selection algorithms. The FOV algorithm produced the robot's minimum path distance and convergence time. Therefore, this study affirms the superiority of the FOV as a landmark selection algorithm. The study was also able to effectively utilize SAFA and the equation of motion to solve the motion planning problem of a carlike robot.
Skeleton Based Action Analysis on Manufacturing Assembly Site

This study intends to establish a human action comparison analysis framework that can be practically applied to factory production lines. This research is based on a human skeleton motion recognition technology (OpenPose), which captures the hand motion skeletons of the operators on the production line when assembling products, and then uses the dynamic time warping algorithm (DTW) in the time series data analysis, and K-Means clustering to distinguish the assembly proficiency of the operator for the assembly operation, as a reference for planning education and training. It is expected that the tools provided can help the factory quickly and accurately grasp the movement differences of each operator and obtain effective improvement suggestions. It is also hoped that the research results will help reduce the cost of education and training, improve the speed, accuracy, and quality of products produced by operators, thereby greatly increasing the overall performance of the manufacturing plant.
The impact of digital transformation on Top Management Teams: A systematic literature review and analysis on the role delineation of the Chief Digital Officer and the Chief Information Officer

Driven by the adoption of novel technologies, digital transformation has turned into a strategic priority for many firms. In response, the recently introduced role of the Chief Digital Officer (CDO) however, causes dissension regarding its delineation from the Chief Information Officer (CIO). Hence, the present study employs a systematic literature review and analysis to investigate how the tasks and responsibilities, requirements and skills, and the role types of the CDO and CIO differ in the context of digital transformation. A detailed examination of their duties reveals that the CDO focuses almost exclusively on demand-side activities, whereas the CIO is in charge of information systems (IS) supply-side and demand-side tasks. The intersection with the role of the CDO increases as the CIO’s demand-side focus grows. The implications of this study are summarized in a first guideline that supports firms that employ a CIO and consider the appointment of a CDO.
A new elasmobranch fauna from the Middle Jurassic of southern Thailand

Abstract We describe a new elasmobranch fauna from the lower part of the Khlong Min Formation in Thailand. The fauna includes Hybodus sp. , Asteracanthus sp. , Lonchidion reesunderwoodi sp. nov., Belemnobatis aominensis sp. nov., and possibly a second species of Belemnobatis. This fauna supports a Bathonian–Callovian age for the Khlong Min Formation, and suggests a close taxonomic relationship between the Middle Jurassic elasmobranch faunas of Europe and Thailand. The presence of a monolayered enameloid in Belemnobatis aominensis sp. nov. and other primitive batoids is interpreted as the retention of a primitive character for neoselachians, which would suggest a divergence time between the batoids and the rest of the neoselachian sharks as early as the Carboniferous–Permian boundary.
ATTACK ON THE CHAIN

O May 12, 2017, at roughly 12:30 p.m. British Summer Time, England’s National Health Service (NHS) was invaded by WannaCry, a ransomware attack. To this day, this cyberattack remains the largest one affecting the NHS.1,2 An estimate of nearly 20,000 patient appointments were cancelled, and 595 general practices were infected.2 Soon, news about this attack raced to headlines, and with it, so did Bitcoin, a relatively new type of currency. The attackers had encrypted computer files, making them unreadable to human users, and proceeded to demand 300 dollars worth of bitcoins for decrypting each computer. This demand for an exchange through Bitcoin brought the seemingly mysterious cryptocurrency to the foreground of the public sphere.
Maturity Models in Information Systems: A Review and Extension of Existing Guidelines

Maturity models (MM) enjoy great popularity among scholars and practitioners, particularly for addressing the novel challenges in IS design and management of IS projects. However, MM research is harshly criticized by rigor-centered academics because of methodological shortcomings. This is because existing design principles for MM development often are insufficiently applied. In this research, we conduct a scoping review of the academic MM literature. Informed by the analysis of MM literature, we pinpoint existing methodological weaknesses of MM research and offer suggestions on how to improve extant design principles for MM development. The presented guideline extensions apply to the complete MM design process from problem definition to results presentation and cover eight design principles. Our results contribute to increased relevance and rigor in MM research. Further, they motivate further research on empirically and longitudinally validating MM’s impact in practice and on the mechanisms of how MM supports organizational learning.
Non-Orthogonal Multiple Access Assisted Secure Computation Offloading via Cooperative Jamming

In this paper, we investigate non-orthogonal multiple access (NOMA) assisted secure computation offloading under the eavesdropping-attack, in which a malicious node overhears the edge-computing user's (EU’s) offloading transmission to the edge-computing server (ES), and NOMA is used for the EU's offloading and meanwhile for providing artificial jamming to the eavesdropper. Since multi-user simultaneous transmission over a same frequency channel can be enabled by NOMA, a wireless user (WU) can form a NOMA pair with the EU to provide cooperative jamming to the eavesdropper while also gaining an opportunity of sending its data. Focusing on the EU-WU pair with the fixed WU's energy-provisioning, we exploit the physical layer security to quantify the EU's offloading throughput with the help of WU's jamming. We then study the joint optimization of the EU's computation offloading and the EU-WU's NOMA transmission for minimizing the EU's total energy consumption subject to its latency-requirement in completing the computation-task. By utilizing the feature of analytical solution of the WU's transmission, we then investigate the WU's optimal energy-provisioning for the EU-WU pair, such that both the EU and WU can benefit from the cooperative jamming in a fairness manner. Specifically, we formulate the EU-WU's cooperation as a Nash bargaining game. By identifying the monotonic feature of Nash bargaining problem, we propose a polyblock approximation based algorithm for determining the WU's optimal energy-provisioning to achieve the win-win solution for the paired EU and WU. Finally, we investigate the scenario of multiple EUs and WUs, and aim at finding the stable pairing between the EUs and WUs, such that no individual EU (or WU) would like to change its partner. An efficient algorithm, which is based on the Gale-Shapley theory while exploiting the quantitative feature of EUs’ and WUs’ net-rewards, is proposed to achieve the stable EU-WU pairings. Numerical results are provided to validate our proposed algorithms and demonstrate the advantage of our proposed NOMA assisted computation offloading via cooperative jamming.
Empowerment Effects in Human-machine Collaboration - A Systematic Literature Review and Directions on Hybrid Intelligence Behavior Patterns

The potentials of artificial intelligence (AI) are manifold, and their discussion has gained momentum in research and practice. At the same time, AI also raises fears among employees of being replaced by AI technologies, therefore shying away from using them. Generally, employees want to be empowered to do their job and seek both more responsibility and the ability to make their own decisions. In this paper, we conduct a systematic literature review that investigates the current state of the literature on the potential empowering effects of AI-based human–machine behavior. We thus sorted the literature into three behavioral categories: humans shape machine behavior, machines shape human behavior
Proactive Eavesdropping for Wireless Information Surveillance Under Suspicious Communication Quality-of-Service Constraint

This paper investigates a proactive eavesdropping scenario where multiple suspicious communication (SC) links are eavesdropped by a full-duplex monitor who can send jamming or constructive signals on each SC link. In order to avoid being discovered by the suspicious users, the monitor restricts the SC quality-of-service (QoS) degradation caused by itself. Under this SC QoS constraint and the average transmit power constraint, the problems of optimizing the mode and transmit power of the monitor to maximize the average successful eavesdropping probability and the average eavesdropping rate are investigated for the delay-sensitive suspicious service and delay-tolerant suspicious service, respectively. By proving that the time-sharing condition is satisfied, the optimal solutions are derived based on the Lagrange duality method. Simulation results validate the effectiveness of the proposed schemes. It is shown that the proposed schemes can provide satisfactory eavesdropping performance improvement even with zero SC QoS degradation requirement.
Antecedents and impact of 5G for Telemedicine in India

Telemedicine services must rise to the challenge of reach, quality and scalability in order to offer effective healthcare services and specialists access to the homes of hundreds of millions of people in India. Increasing rollout of 5G networks provide an unprecedented opportunity to healthcare service providers to offer near real-time, high-quality and interactive telemedicine services. In this research-in-progress paper, leveraging on the technology–organization–environment (TOE) framework, we propose various factors that influence the adoption intention of 5G for Telemedicine from an organizational perspective. Next, we intend to test the theorized relationships via a field survey of relevant stakeholders and domain experts. Through this study, we will offer deeper understanding into the TOE framework for the adoption of 5G for Telemedicine. Further, on the practical front, the study will help the healthcare service providers and partners to strategize and focus on specific factors to implement Telemedicine services leveraging 5G effectively.
How Do Video Features Matter in Visual Advertising? An Elaboration Likelihood Model Perspective

Video content is gaining more popularity than traditional text- and image-based content on e-commerce platforms. Drawing on the elaboration likelihood model (ELM), we empirically investigate how dynamic video-related features (e.g., content complexity, design complexity, and motion of the video) and static frame-related features (e.g., color and feature complexity of the video) influence the effectiveness of video advertising by using a large and unique choice-level dataset from a leading e-commerce platform in the world. The results show that in the context of exploratory search, the central route factors of the ELM that require more cognitive effort negatively affect consumer behavior, while the effects of the peripheral route factors of the ELM are pronounced. We also find that the matching level between consumers and videos has a positive moderating effect on the relationship between the peripheral route factors and consumer behavior. This study provides novel insights for both research and practice. and frame-related on consumer as how the matching level between consumers and affects the use of these in consumer information This study extended on and the low on our research valuable practical implications for and
The future of beef production in North America

cattle operations, which involve the use of weaned calves to graze native and introduced forages (annuals, perennials, and crop residues) before entering feedlots are a common feature of beef cattle production throughout North America. The stocker system provides a bridge between cow-calf operations and feedlots, allowing for utilization of forage resources and spreading the cattle supply and thereby the marketing window for ﬁ nished cattle more evenly throughout the year.
Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment on Amazon.com

The rapid growth in e-commerce has led to a concomitant increase in consumers’ reliance on digital word-of-mouth to inform their choices. As such, there is an increasing incentive for sellers to solicit reviews for their products. Recent studies have examined the direct eﬀect of receiving incentives or introducing incentive policy on review writing behavior. However, since incentivized reviews are often only a small proportion of the overall reviews on a platform, it is important to understand whether their presence on the platform has spillover eﬀects on the unincentivized reviews which are often in the majority. Using the state-of-the-art language model, Bidirectional Encoder Representations from Transformers (BERT) to identify incentivized reviews and a natural experiment caused by a policy change on Amazon.com in October 2016, we conduct the generalized synthetic control (GSC) analyses to identify the spillover eﬀects of banning incentivized reviews on unincentivized reviews. Our results suggest that there are positive spillover eﬀects of the ban on the review frequency and helpfulness, while there are negative spillover eﬀects on rating, sentiment, and images, suggesting that the policy stimulates more and helpful reviews in the short-run, and negative and shorter reviews with fewer images in the long-run. Thus, we ﬁnd that the presence of incentivized reviews on the platform poisons the well of reviews for frequency and helpfulness of unincentivized reviews.
A study on recovering the cloud-top height for the EUSO mission

In this paper we present some preliminary results on an optical-flow based technique aimed at recovering the cloud-top height from infra-red image sequences. This work has been carried out in the context of the development of the "Extreme Universe Space Observatory" mission (EUSO), an ESA led international mission for the investigation of the nature and origin of Extreme Energy Cosmic Rays. The knowledge of the cloud scenario is critical to measure the primary energy and the composition of EECRs. In this work we explore the feasibility for the cloud-top height recovery, of a technique based on a robust multi-resolution optical-flow algorithm. The robustness is achieved adopting a Least Median of Squares paradigm. The algorithm has been tested on semi-synthetic data (i.e. real data that have been synthetically warped in order to have a reliable ground truth for the motion field), and on real short sequences (pairs of frames) coming from the ATSR2 data set. Since we assumed the same geometry as for the ATSR2 data, the cloud top height could be recovered from the motion field by means of the widely used Prata and Turner equation.
Evidence for Evolution in the Galaxy Merger Rate

We use four deep serendipitous fields observed with the Hubble Space Telescope (HST) Wide-Field Camera to constrain the rate of galaxy merging between the current epoch and z approximately equals 0.7. Since most mergers occur between members of bound pairs, the merger rate is given to a good approximation by (half) the rate of disappearance of galaxies in pairs. An objective criterion for pair membership shows that 34% +/- 9% of our HST galaxies with I = 18-22 belong to pairs, compared to 7% locally. This means that about 13% of the galaxy population has disappeared due to merging in the cosmic epoch corresponding to this magnitude interval (or 0.1 approximately less than z approximately less than 0.7). Our pair fraction is a lower limit: correction for pair members falling below our detection threshold might raise the fraction to approximately 50%. Since we address only two-galaxy merging, these values do not include physical systems of higher multiplicity. Incorporating I-band field-galaxy redshift distributions, the pair fraction grows with redshift as alpha(1 + z)(exp 3.5 +/- 0.5) and the merger rate as (1 + z)(exp 2.5 +/- 0.5). This may have significant implications for the interpretation of galaxy counts (disappearance of faint blue galaxies), the cosmological evolution of faint radio sources and quasars (which evolve approximately as (1 + z)(exp 3), the similarity in the power law is necessary but not sufficient evidence for a causal relation), statistics of QSO companions, the galaxy content in distant clusters, and the merging history of a 'typical' galaxy.
LETTER TO THE EDITOR: Basins of attraction of metastable states of the spherical p-spin model

We study the basins of attraction of metastable states in the spherical p-spin spin-glass model, starting the relaxation dynamics at a given distance from a thermalized condition. Weighting the initial condition with the Boltzmann distribution we find a finite size for the basins. In contrast, a white weighting of the initial condition implies vanishing basins of attraction. We correspond our results to those of a recently constructed effective potential.
Characterization and biodegradation of soil humic acids and preliminary identification of decolorizing actinomycetes at Mitidja plain soils (Algeria)

Centre National de Recherche et de Developpement de la Peche et de l'Aquaculture 11, Bd Colonel Amirouche B.P 67, Bousmail (W. Tipaza), Algerie. Universite Saad Dahlab de Blida, Laboratoire pedagogique de microbiologie et biochimie. Departement de chimie industrielle. Faculte des sciences de l’ingenieur, BP 270, 09000 Blida, Algerie. Universite Saad Dahlab de Blida, Laboratoire de Genie Chimique, BP 270, 09000 Blida, Algerie.
Indirect effect of sulfate and carbonaceous aerosols: A mechanistic treatment

The indirect effect of anthropogenic aerosols, whereby aerosol particles change cloud optical properties, is the most uncertain component of climate forcing over the past 100 years. Here we use a mechanistic treatment of droplet nucleation and a prognostic treatment of the number of cloud droplets to study the indirect aerosol effect from changes in carbonaceous and sulfate aerosols. Cloud droplet nucleation is parameterized as a function of total aerosol number concentration, updraft velocity, and an activation parameter, which takes into account the mechanism of sulfate aerosol formation. Where previous studies focussed either on sulfate aerosols or carbonaceous aerosols only, here we estimate the combined effect. The combined indirect aerosol effect amounts to −1.1 W m−2 for an internally mixed aerosol and −1.5 W m−2 for an externally mixed aerosol compared to −1.4 W m−2, which we obtained by empirically relating sulfate mass to cloud droplet number. In the case of an internally mixed aerosol, the contribution from increasing carbonaceous and sulfate aerosols is close to being additive as the individual simulations yield an indirect effect of −0.4 W m−2 due to anthropogenic sulfate aerosols and −0.9 W m−2 due to anthropogenic carbonaceous aerosols. The contribution of anthropogenic sulfate to the indirect effect is close to zero if an externally mixed aerosol is assumed, while the contribution of carbonaceous aerosols increases to −1.3 W m−2. The effect of sulfate in the external mixture approach is much smaller than that of carbonaceous aerosols because its burden only increases by a third of that of carbonaceous aerosols and because the mode radius of sulfate is much larger than that of black and organic carbon.
A revisit to eﬀects of demographic dynamics on economic growth in Asia

This paper aims to examine the effects of demographic dynamics on economic growth with a focus on working-age population and saving rate in 17 Asian economies for the past period from 1970 to 2018 and for the future period from 2018 to 2050. For the analytical methodology, this study applies a panel vector autoregressive model considering endogenous interactions among concerned variables. The main findings are summarized as follows: first, the estimation identified both the direct channel from working-age population share to economic growth and the indirect channel through saving rate; second, the estimated result also found the feedback effect from economic growth to saving rate; third, the contribution ratio of the demographic effect to economic growth for the past period, around 30 percent on average, is consistent with those in previous studies; and fourth, in the projection for 2018-2050, the degrees of the negative demographic effects in sample economies are getting larger than those of previous studies, due to the earlier-coming population onus with aging.
Wiktextract: Wiktionary as Machine-Readable Structured Data

We present a machine-readable structured data version of Wiktionary. Unlike previous Wiktionary extractions, the new extractor, Wiktextract, fully interprets and expands templates and Lua modules in Wiktionary. This enables it to perform a more complete, robust, and maintainable extraction. The extracted data is multilingual and includes lemmas, inflected forms, translations, etymology, usage examples, pronunciations (including URLs of sound files), lexical and semantic relations, and various morphological, syntactic, semantic, topical, and dialectal annotations. We extract all data from the English Wiktionary. Comparing against previous extractions from language-specific dictionaries, we find that its coverage for non-English languages often matches or exceeds the coverage in the language-specific editions, with the added benefit that all glosses are in English. The data is freely available and regularly updated, enabling anyone to add more data and correct errors by editing Wiktionary. The extracted data is in JSON format and designed to be easy to use by researchers, downstream resources, and application developers.