Miracle-dz/UniFAR-FTUs huggingface dataset:
Electronic word-of-mouth in travel social networking sites and young consumers’ purchase intentions: an extended information adoption model

Purpose Young consumers are increasing using electronic word-of-mouth (eWOM) in travel social networking sites to make purchase decisions. This paper aims to test the extended Information Adoption Model (IAM) that places perceived usefulness and information adoption as consequences of argument quality, source credibility, information quantity and emotive word comprehension, and as an antecedent of purchase intentions. Design/methodology/approach Data are collected through survey questionnaire from 405 hotel young customers in Malaysia, who had experienced travel social networking sites. The hypothesized relationships were analysed using structural equation modelling. Findings The results show that argument quality, source credibility, information quantity and emotive word comprehension have positive effect on the perceived usefulness of eWOM. Perceived usefulness has positive influence on the information adoption of eWOM, which in turn predicts the young consumers’ purchase intentions. Research limitations/implications The present study strengthens and advances the existing literature on tourism, social media and marketing by offering an extension to the IAM. The proposed extended model of IAM is verified and applied effectively in the context of eWOM for travel social networking sites. Practical implications Practitioners and marketers of travel social networking sites can improve the usability and effectiveness of eWOM to attract more young consumers. Originality/value The study contributes to the extension of IAM by adding information quantity and emotive word comprehension. This research validated the significant roles of eWOM argument quality and source credibility in predicting the information usefulness of eWOM.
Analysis of the Mutual Impedance of Coils Immersed in Water

Magnetic induction communication and wireless power transmission based on magnetic coupling have significant application prospects in underwater environments. Mutual impedance is a key parameter particularly required for the design of the systems. However, mutual impedance is usually extracted from measurements when the coils are processed, which is obviously not conducive to the system optimization in the design phase. In this paper, a model of the mutual impedance of coils immersed in water is established. The magnetic vector potential is expressed in the form of series by artificially setting a boundary, and then the mutual impedance calculation formula of the coils immersed in water is derived. In the analysis, the effect of the conductivity of water, the excitation frequency, and the number of turns of the coils are mainly taken into account. In addition, the variation of the mutual impedance of coils in air and water with axial displacement is also compared. The models can be used to analyze the coil coupling characteristics in the presence of conductive medium, which is helpful for the design process.
Dissimilarities in species assemblages among Amazonian mineral licks

Mineral lick elevation, size, and distance to the closest human community are all associated with mammal and bird species visitations. The most frequently hunted licks have similar species assemblages. Results indicate high variability in species assemblages at different mineral licks suggesting different species‐specific resource needs at different licks.
A data-based multi-algorithm system for an end-to-end intelligent manufacturing process

Reducing defects and creating new industrial products are issues addressed in literature, though often separately. This work presents a unique approach combining machine learning and optimization techniques, which could 1) predict and explain ongoing production defects, 2) prescribe solutions to prevent predicted defects, and 3) produce defect predictors for novel products without historical data. By applying it into a melamine-surfaced boards process, task 1) explored SVM, XGBoost and Random Forest algorithms, coupled with an explainable model-agnostic approach. A Powell’s method-based meta-heuristic algorithm handled task 2), while the Hyper-Process Model (HPM) technique was selected in task 3). Defect prediction presented strong results, with a fine-tuned XGBoost with oversampling achieving over 0.8 recall value, and prescriptions significantly reduced prediction scores across most defect scenarios. Although the HPM implementation introduced challenges producing predictors, most generated synthetic data-trained models achieved encouraging performances on recall metrics. Results could serve as baseline for future developments.
Topological Defect-Guided Regular Stacking of Focal Conic Domains in Hybrid-Aligned Smectic Liquid Crystal Shells

We study liquid crystal (LC) shells in hybrid configuration (director tangential to the inside but normal to the outside) as they slowly undergo a transition from a nematic (N) to a smectic-A (SmA) phase. Every shell has two antipodal +1 topological defects, at the thinnest and thickest points, respectively. On cooling from N to SmA, the symmetry axis connecting the defects gradually reorients from along gravity to perpendicular to it, reversibly and continuously, if the LC and aqueous phase are density matched at the N-SmA transition. This suggests reduced density near the defects—reflecting a local reduction in order—under the strong confinement with antagonistic boundary conditions. In the SmA phase, a regular array of focal conic domains (FCDs) develops, templated in position and orientation by the +1 defect at the thinnest point. Around this defect, a single complete toroidal FCD always develops, surrounded by incomplete FCDs. In contrast to similar FCD arrangements on flat aqueous interfaces, this is a stable situation, since the two +1 defects are required by the spherical topology. Our results demonstrate how the topological defects of LC shells can be used to template complex self-organized structures. With a suitable adaption of the LC chemistry, shells might serve as a basis for producing solid particles with complex yet highly regular morphologies.
A Very Low Reference Spur Phase Offset Technique in Fractional-N Charge pump PLLs

Fractional-N charge pump phase locked loops (PLLs) suffer from the problem of increased in-band phase noise due to charge pump non-linearity caused by UP/DN chargepump current mismatch. Existing techniques that resolve this problem by introducing phase offset between reference and divide signals cause large reference spurs or increase jitter at PLL output. A very low reference spur phase offset technique is proposed in this work. It produces the lowest reference spurs compared to previously published works. A detailed comparison of the reference spurs caused by the different techniques to introduce phase offset is presented. Simulation results show that the reference spur level generated at the PLL output after applying the proposed technique is 26 dB lower than the existing techniques in the presence of 5% chargepump current mismatch.
On the use of air temperature and precipitation as surrogate predictors in soil respiration modelling

Soil respiration (RS), the soil‐to‐atmosphere CO2 flux that is a major component of the global carbon cycle, is strongly influenced by local soil temperature (Tsoil) and water content (SWC). Regional to global‐scale RS modelling thus requires this information at local scales, but few high‐quality, wall‐to‐wall (global) Tsoil and SWC data exist. As a result, such modelling efforts commonly use air temperature (Tair) and monthly precipitation (Pm) as surrogate predictors, but their site‐scale accuracy and potential bias are unknown. Here, we used monthly data from 880 sites across a wide variety of different environmental conditions (i.e., climate, ecosystem type, elevation, vegetation leaf habit and drainage conditions) to determine the suitability of Tair as a surrogate for Tsoil, and data from 507 sites to examine the suitability of Pm as a surrogate for SWC. Site‐specific linear and second‐order exponential non‐linear models were compared using model evaluation metrics (i.e., slope, p‐value of slope, root mean square error [RMSE], index of agreement and model efficiency). We found that Tsoil and Tair are highly correlated and explain similar RS variability. In contrast, Pm is not a good surrogate for SWC, even though Pm explains a similar amount of RS variability to SWC. The wide variability in the site‐specific relationships between RS and SWC means that no single relationship can be used for large‐scale modelling. The results from this study support the use of Tair in continental‐to‐global scale RS models, and highlight the urgent need for continental‐to‐global scale SWC datasets for the modelling and evaluation of future soil carbon dynamics under global climate change.
Association of Aquaculture Environment Microbiota with Metabolism in American Shad (Alosa Sapidissima)

The environment microbiome affects the growth and development of fish species. Information of the environment microbiome is beneficial to increase the production of fish in different aquaculture systems. In this study we analyzed differences in environmental microbial composition, intestinal metabolites and differentially expressed genes (DEGs) in American shad living in tank aquaculture and pond aquaculture environment. The results demonstrated that the dominant phyla were Bacteroidetes, Actinobacteria, Fusobacteria, Gemmatimonadetes, Firmicutes, Acidobacteria, Nitrospirae and Epsilonbacteraeota in two different environments. There were significantly changed of metabolites in different aquaculture environment, including DP-ethanolamine, L-proline, sulfuric acid, L-valine, L-tryptophan, creatinine, uric acid and L-isoleucine. The transcriptome data revealed eight genes (As23G026314, As04G005148, As21G024434, As04G005193, As23G026314, As13G016035, As02G001872 and As07G009244) related to metabolisms significantly changed in pond aquaculture group compared to tank aquaculture group. In addition, the body weight, amino acid metabolism, and glycerophospholipid metabolism of American shad also significantly changed in the pond aquaculture environment. Therefore, identifying the predominant microbiome in the aquaculture environment may be prevent the disease from occurring and maintain healthy fish reared in the aquaculture environment.
Data, User and Power Allocations for Caching in Multi-Access Edge Computing

In the multi-access edge computing (MEC) environment, app vendors’ data can be cached on edge servers to ensure low-latency data retrieval. Massive users can simultaneously access edge servers with high data rates through flexible allocations of transmit power. The ability to manage networking resources offers unique opportunities to app vendors but also raises unprecedented challenges. To ensure fast data retrieval for users in the MEC environment, edge data caching must take into account the allocations of data, users, and transmit power jointly. We make the first attempt to study the Data, User, and Power Allocation (DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq1-3104241.gif"/></alternatives></inline-formula>) problem, aiming to serve the most users and maximize their overall data rate. First, we formulate the DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq2-3104241.gif"/></alternatives></inline-formula> problem and prove its <inline-formula><tex-math notation="LaTeX">$\mathcal {NP}$</tex-math><alternatives><mml:math><mml:mi mathvariant="script">NP</mml:mi></mml:math><inline-graphic xlink:href="xia-ieq3-3104241.gif"/></alternatives></inline-formula>-completeness. Then, we model the DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq4-3104241.gif"/></alternatives></inline-formula> problem as a potential DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq5-3104241.gif"/></alternatives></inline-formula> game admitting at least one Nash equilibrium and propose a two-phase game-theoretic decentralized algorithm named DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq6-3104241.gif"/></alternatives></inline-formula>Game to achieve the Nash equilibrium as the solution to the DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq7-3104241.gif"/></alternatives></inline-formula> problem. To evaluate DUPA<inline-formula><tex-math notation="LaTeX">$^3$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>3</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="xia-ieq8-3104241.gif"/></alternatives></inline-formula>Game, we analyze its theoretical performance and conduct extensive experiments to demonstrate its effectiveness and efficiency.
Social innovation and austerity governance in Athens and Madrid: Rethinking the changing contours of policy and practice

The notion of social innovation (SI) has received significant attention in academic debates and policy, denoting the potential for bottom-up and ‘bottom-linking’ sociospatial transformations and solutions to societal challenges in times of crises. This article takes on a critical approach to how SI is being employed in institutional channels and urban policy, by suggesting a reconceptualization of the different dimensions or forms it may acquire in the context of austerity governance. The article engages with case studies of policy initiatives developed in the cities of Athens and Madrid in the post-economic crisis period, in order to contribute to a new line of investigation into how policy through the ‘co-paradigm’ reconfigures the meaning and practice of SI, by tapping into the innovative dynamic of the civil society. It then critically evaluates the possibilities and limitations for grassroots innovations to influence urban governance in an era of austerity.
SUSTAINABILITY THROUGH THE DIGITALIZATION: EXPLORING POTENTIALS AND DESIGNING VALUE CO-CREATION ARCHITECTURES FOR PRODUCT-SERVICE-SYSTEMS

Abstract Digitalization and sustainability are major challenges for today's manufacturing industry. While digitalization is characterized by the incorporation of digital technologies in the products and services as well as the value creation architectures, sustainability requires them to balance economic, environmental and social issues. In both areas, especially Product Service Systems (PSS) are constantly gaining importance. This results in so called smart PSS that integrate digital technologies as well as sustainable PSS which aim at a positive impact on sustainability. Both two concepts cannot be clearly delimited since smart PSS might be designed for sustainability as well and sustainable PSS might be used with digital technologies. This paper aims to investigate the interrelations. To that, digitalization patterns of products and services are evaluated regarding their sustainable impact. The evaluation is conducted by a survey in research and industry. Furthermore, the design of the underlying value creation architecture is investigated. Here, a methodology is proposed enabling companies to optimize their value creation architecture.
Attack Categorisation for IoT Applications in Critical Infrastructures, a Survey

With the ever advancing expansion of the Internet of Things (IoT) into our everyday lives, the number of attack possibilities increases. Furthermore, with the incorporation of the IoT into Critical Infrastructure (CI) hardware and applications, the protection of not only the systems but the citizens themselves has become paramount. To do so, specialists must be able to gain a foothold in the ongoing cyber attack war-zone. By organising the various attacks against their systems, these specialists can not only gain a quick overview of what they might expect but also gain knowledge into the specifications of the attacks based on the categorisation method used. This paper presents a glimpse into the area of IoT Critical Infrastructure security as well as an overview and analysis of attack categorisation methodologies in the context of wireless IoT-based Critical Infrastructure applications. We believe this can be a guide to aid further researchers in their choice of adapted categorisation approaches. Indeed, adapting appropriated categorisation leads to a quicker attack detection, identification, and recovery. It is, thus, paramount to have a clear vision of the threat landscapes of a specific system.
Development and characterisation of bacteria as a potential application in enduring the mechanical and durability characteristic of cement composite

ABSTRACT The current research focuses on the biomineralization in cement composite by Bacillus sphaericus and Escherichia coli bacteria. The Escherichia coli (E. coli) was isolated from the soil beneath the leaked sewage pipe. Harvesting the E. coli bacteria required isolation, growth, cultivation and characterisation. Furthermore, the potential of micro-organisms was checked on the mechanical properties of the cement composite and durability properties such as water absorption, rapid chloride permeability test (RCPT), and ultrasonic pulse velocity on 7- and 28-day curing period respectively. The bacterial cell concentration of 106, 107 and 108 cells/ml were chosen and mixed during concrete manufacturing. The results revealed that the mechanical properties of the concrete prepared from micro-cultures exhibiting improvements over strength. CNT-EC8 was showing 18.73% (39.3 N/mm2) and 13.08% higher compressive and split tensile strength during 28 days respectively. Despite this, they also show 33.07% and 45.14% lesser charge passage rate in RCPT test respectively. The bacterium was shown to be capable of producing calcite precipitation, filling the micro pores and improving the cement composite’s durability. As a result, using microbially generated crystal in concrete can be a useful strategy for lowering permeability and developing long-lasting concrete.
Dimensional Analysis Organization Design; Case LEMDIKLAT POLRI Training Certification Institute

LSP Lemdiklat Polri has a very strategic role in structuring the management of human resources of the apparatus, especially in ensuring and maintaining the competence of Polri's human resources and other police functions. However, the current organizational structure and work procedures of the National Police Institute of Education and Training are still not in accordance with the workload that must be carried out. Organizational structures are generally an integral part of carrying out their functions and tasks in a structured manner in order to play a role in realizing the vision and mission of the organization itself. Focus and research locus on the analysis of the organizational structure design of the Professional Certification Institute for Education and Training of the Indonesian National Police (LSP LEMDIKLAT POLRI), As for the research method used using literature study based on existing secondary data. The results show that the ideal design of the organizational structure consisting of complexity and centralization and formalization in general, the respondents have a concern for the activities of the LSP LEMDIKLAT POLRI in their environment. The researcher also gives the first conclusion that the LSP LEMDIKLAT POLRI requires improvement in terms of departmentalization and specialization to improve the quality of POLRI personnel, secondly to strengthen regulations and rules as a form of control to ensure and maintain competence in certification services for non-INP police function bearers.
Small datasets for fruit detection with transfer learning.

—A common approach to the problem of fruit detection in images is to design a deep learning network and train a model to locate objects, using bounding boxes to identify regions containing fruit. However, this requires sufﬁcient data and presents challenges for small datasets. Transfer learning, which acquires knowledge from a source domain and brings that to a new target domain, can produce improved performance in the target domain. The work discussed in this paper shows the application of transfer learning for fruit detection with small datasets and presents analysis between the number of training images in source and target domains. This investigation is based on three datasets: two containing tomatoes and one containing strawberries. Experimental results indicate that transfer learning can enhance prediction with limited data.
THE EFFECTIVENESS OF ONLINE-BASED LEARNING IN JAVA PROGRAMMING LANGUAGE: STUDENT PERCEPTIONS AND PERFORMANCE

This research aims to explore the effectiveness of learning Java programming language using online-based learning compared to traditional-based learning towards undergraduate students in Universiti Utara Malaysia (UUM). Similar types of learning materials in the form of slides, notes and books are used with additional forms of assessments to substitute the final exam. The main difference is in the learning approaches which have been switched to online based via various platforms depending on the suitability and preference of the students. This research focuses on identifying and analyzing certain aspects from the students’ perceptions, which are the students’ (1) learning preference; (2) learning engagement; (3) learning assessment, and in terms of their overall (4) satisfaction towards the learning process. This research uses a quantitative approach through the questionnaire as the survey instrument, involving 31 students. The data is analyzed using descriptive statistics (percentage frequency distribution, mean, and standard deviation). Findings show that despite using online-based learning, 48.39% obtained marks above 80% in Lab Test 2, which is doubled compared to the previous test, Lab Test 1, 25.81%. This indicates that while students prefer traditional-based learning, they are able to perform better through online-based learning.
PySMILESUtils – Enabling deep learning with the SMILES chemical language

Recent years have seen a large interest in using the Simplified Molecular Input Line Entry System (SMILES) chemical language as input for deep learning architectures solving chemical tasks. Many successful applications have been demonstrated within de novo molecular design, quantitative structure-activity relationship modelling, forward reaction prediction and single-step retrosynthetic planning as examples. PySMILESUtils aims to enable these tasks by providing readyto- use and adaptable Python classes for tokenization, augmentation, dataset, and dataloader creation. Classes for handling datasets larger than memory and speeding up training by minimizing padding are also provided. The framework subclasses PyTorch dataset and dataloaders but should be adaptable for other deep learning frameworks. The project is open-sourced with a permissive license and made available at GitHub: https://github.com/MolecularAI/pysmilesutils