Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Perceived Value on Social Media and Online News Portal: Benefits to The Aborigines Women in Malaysia

Online news media and social media applications recorded an unprecedented success in just few of the recent years. However, online news media and social media domain are still little understood in term of usage among aborigines or Orang Asli in Malaysia. Thus, this research is to see the social perceived value on social media and online news portal among Orang Asli. A quantitative research design is used based on data will be collected via questionnaire from Orang Asli at Kampung Batu 12, Gombak, Selangor, at the outskirt of Kuala Lumpur. Questionnaires were distributed to 50 Orang Asli aged 15 and above. Factor analysis was used to examined the data. Exploratory factor analysis was used to extracts new factor, Online media usage impact. The social values perceived (16 items) factor was examined. After identifying the component based on an examination of eigenvalues and scree plot, rotation was done by varimax method. The items with 0.5 loadings or greater are considered practically significant. The findings showed that most of the Orang Asli gathered current information and news from the social media and social media is the gateway to online news portal. Furthermore, despite of financial circumstances, they willing to spend in order to have the internet access as it gave positive social values in their life, plus the applications internet access were all user friendly.
Implementation of Different PV Forecast Approaches in a MultiGood MicroGrid: Modeling and Experimental Results

Microgrids represent a flexible way to integrate renewable energy sources with programmable generators and storage systems. In this regard, a synergic integration of those sources is crucial to minimize the operating cost of the microgrid by efficient storage management and generation scheduling. The forecasts of renewable generation can be used to attain optimal management of the controllable units by predictive optimization algorithms. This paper introduces the implementation of a two-layer hierarchical energy management system for islanded photovoltaic microgrids. The first layer evaluates the optimal unit commitment, according to the photovoltaic forecasts, while the second layer deals with the power-sharing in real time, following as close as possible the daily schedule provided by the upper layer while balancing the forecast errors. The energy management system is experimentally tested at the Multi-Good MicroGrid Laboratory under three different photovoltaic forecast models: (i) day-ahead model, (ii) intraday corrections and (iii) nowcasting technique. The experimental study demonstrates the capability of the proposed management system to operate an islanded microgrid in safe conditions, even with inaccurate day-ahead photovoltaic forecasts.
Improving metabarcoding taxonomic assignment: A case study of fishes in a large marine ecosystem

DNA metabarcoding is an important tool for molecular ecology. However, its effectiveness hinges on the quality of reference sequence databases and classification parameters employed. Here we evaluate the performance of MiFish 12S taxonomic assignments using a case study of California Current Large Marine Ecosystem fishes to determine best practices for metabarcoding. Specifically, we use a taxonomy cross‐validation by identity framework to compare classification performance between a global database comprised of all available sequences and a curated database that only includes sequences of fishes from the California Current Large Marine Ecosystem. We demonstrate that the regional database provides higher assignment accuracy than the comprehensive global database. We also document a tradeoff between accuracy and misclassification across a range of taxonomic cutoff scores, highlighting the importance of parameter selection for taxonomic classification. Furthermore, we compared assignment accuracy with and without the inclusion of additionally generated reference sequences. To this end, we sequenced tissue from 597 species using the MiFish 12S primers, adding 252 species to GenBank's existing 550 California Current Large Marine Ecosystem fish sequences. We then compared species and reads identified from seawater environmental DNA samples using global databases with and without our generated references, and the regional database. The addition of new references allowed for the identification of 16 additional native taxa representing 17.0% of total reads from eDNA samples, including species with vast ecological and economic value. Together these results demonstrate the importance of comprehensive and curated reference databases for effective metabarcoding and the need for locus‐specific validation efforts.
Local and Regional Wind Patterns Affect Spring Migration Magnitude, Flyways and Flocking Of European Honey-Buzzards Pernis apivorus at the Strait of Messina

Summary. During spring migration, a few tens of thousands of European Honey-buzzards wintering in sub-Saharan Africa cross the central Mediterranean to reach their breeding grounds in central-eastern Europe. In so doing they concentrate passage through the Sicilian Channel but choose different flyways in response to different wind conditions. This study investigated the influence of local and regional wind conditions on the movement patterns of this species along the Strait of Messina, a migration bottleneck located between eastern Sicily and southern continental Italy where some raptors fall victim to illegal shooting by poachers each spring. Simultaneous observations occurred at four watchpoints, three on the Sicilian side and one on the continental boundary (Calabrian side). Although northwesterly winds prevailed at the Strait during peak migration days, slightly different local patterns of both horizontal and vertical winds at each observation site affected flocking and shaped the passage of raptors through this bottleneck, broadening the migration front. The results confirm that the magnitude of Honey-buzzard spring migration at the Strait is strongly affected by wind patterns in the Sicilian Channel. In particular, migrants concentrate at this bottleneck after crossing the Channel in northwesterly winds the previous day. In conclusion, by interpreting migratory behaviour both at local and regional scales, this work can help to plan more efficient monitoring of Honey-buzzards through the Strait and improving the siting of conservationist efforts. —Agostini, N. , Chiatante, G. , Gustin, M. , Cento, M. , von Hardenberg, J., Dell'Omo, G. & Panuccio, M. (2021). Local and regional wind patterns affect spring migration magnitude, flyways and flocking of European Honey-buzzards Pernis apivorus at the Strait of Messina. Ardeola, 68: 373-390.
Exploring the Knowledge Management Impact on Business Education

Knowledge management developed in the last decades as a dynamic symbiosis between science and art with significant implications on business and business education. Knowledge management operates within the organizational management, but it focuses on intangible resources, which are distinguished from the tangible ones as a result of their abstraction, metaphorical semantic, and nonlinearity. The purpose of the present paper is to explore the impact of knowledge management on business education through the mediation of academic curriculum and the influence of the business environment. The methodology is based on both qualitative and quantitative research methods. The qualitative phase focuses on a critical literature search and a semantic analysis of the main concepts and ideas, which allowed us to construct the research model and design a questionnaire addressed to business students and professors. The quantitative approach uses the statistical software packages SPSS 26.0 version, including the PROCESS macro for SPSS version 3.5 and the known reliability, validation, and interpretation criteria. Findings show that knowledge management impacts business education through the mediation of the academic curriculum and the influence of the business environment. The originality of the present research comes from the dynamics between knowledge management and business education and the research model’s design.
Use of Traffic Planning Software Outputs When a New Highway Section Is Put into Operation

The main aim of this paper is to point out the assumptions of motorway operation effects on local transport. We assume positive effects of starting motorway operation on the specific section of road I/11. This section connects the cities of Žilina and Čadca. It is considered as one of the most problematic sections of the Slovak Republic because of the high intensity of individual transport and freight or cargo transport. This transport issue is growing beyond the regional level and is reaching alarming proportions. It needs to be solved as soon as possible. One of the available possibilities is to start the operation of the mentioned motorway D3. We have created a simulation model of a current state and also the state with the motorway. We have used intensities from the last national traffic census as basic inputs for simulation. These intensity values have been recalculated by relevant growth coefficients defined in Technical Conditions no. 102. Based on the results of a dynamic simulation, we have compared the average speed, delay times, and the length of congestions in two scenarios—the current state and effects of motorway operation.
Recognizing dimensions of sustainability entrepreneurship among local producers of agricultural inputs

The present research aimed at designing a model of sustainability-oriented responsible entrepreneurship among local producers of agricultural inputs. The paper highlights causal, contextual, and intervening conditions for sustainability entrepreneurship among these local producers. In addition, the necessary action strategies are provided to develop sustainability-oriented responsible entrepreneurship. The consequences of agricultural input production are also illustrated based on the insight of sustainability-oriented responsible entrepreneurship. The research population was composed of knowledge-intensive businesses working on pesticide production in Iran. They were sampled using the purposive sampling technique. The research instrument was interviews in the qualitative phase and a questionnaire in the quantitative phase. The qualitative data were analyzed by grounded theory in three steps of open, axial, and selective coding, and the sustainability-oriented responsible entrepreneurship model was derived. The results show that sustainability-oriented responsible entrepreneurship is composed of contextual conditions (e.g. the values and understanding of the society, training, and the role of media), causal conditions (e.g. entrepreneurial attitude and passion, higher demand, and specific diseases), and intervening conditions (e.g. international sanctions, support by the government and other institutions, and the development of technical and technological infrastructure). Also, the strategies of sustainability-oriented responsible entrepreneurship include increasing production capacity, matching national and global regulations, assessing environmental considerations, creating an entrepreneurial culture, and strengthening scientific research and international cooperation. These strategies will have extensive implications at the level of individuals (e.g. motivation), families (e.g. improvement of physical and mental health), and society (e.g. creating employment and value-added and developing sustainability-oriented entrepreneurship in the agricultural inputs domain). It was found in the quantitative phase that the model of sustainability-oriented responsible entrepreneurship was well fitted.
The Electronic Structure of [Mn(V)═O]: What is the Connection between Oxyl Radical Character, Physical Oxidation State, and Reactivity?

MnV═O functionalities are important in synthetic and bioinorganic chemistry, being relevant to both C–H activation and the O–O bond formation steps in enzymatic water oxidation, for example. The triplet and quintet spin states are believed to be active in these reactions, but they have only been sparingly characterized experimentally. Density functional theory (DFT) gives varying results, depending on the exchange-correlation functional employed, leading to ambiguity about whether the triplet MnV═O is better represented as MnIV–O•. While recent CASPT2 studies confirmed that the MnIV–O• character is exaggerated by hybrid functionals, questions still remain about the nature of this bonding. Using high-level wave function methods, we investigated the fundamental relationship between the spin polarization, diradical character, and the physical oxidation state assignments. We conclude that, in terms of formal oxidation assignment, these species are best described as being between the MnV═O and MnIV–O• extremes.
Machine Learning Models for Industrial Applications

More and more industries are aspiring to achieve a successful production using the known artificial intelligence. Machine learning (ML) stands as a powerful tool for making very accurate predictions, concept classification, intelligent control, maintenance predictions, and even fault and anomaly detection in real time. The use of machine learning models in industry means an increase in efficiency: energy savings, human resources efficiency, increase in product quality, decrease in environmental pollution, and many other advantages. In this chapter, we will present two industrial applications of machine learning. In all cases we achieve interesting results that in practice can be translated as an increase in production efficiency. The solutions described cover areas such as prediction of production quality in an oil and gas refinery and predictive maintenance for micro gas turbines. The results of the experiments carried out show the viability of the solutions.
Cytotoxicity as a Fundamental Response to Xenobiotics

Cytotoxicity refers to the ability of a molecule or a compound to cause some type of cellular damage, of which some of the adverse effects that can occur include injuries to some structures or the fundamental processes involved in cell maintenance, such as survival, cell division, cell biochemistry, and the normal cell physiology. The potential for cytotoxicity is one of the first tests that must be performed to determine the effects of drugs, biomolecules, nanomaterials, medical devices, pesticides, heavy metals, and solvents, among others. This potential may be oriented in the mechanism under which it generates cell death, the dose, and the target cells that generate the response. The evaluation of the toxicologic and cytotoxic properties of the chemical substances through in vitro tests has become a competitive alternative to in vivo experimentation as a consequence of ethical considerations. Presently, there are numerous tests conducted to evaluate the cytotoxicity of a certain agent, the selection of which depends on the purpose of the study. In this sense, the present review provides a general overview of the different responses of a cell to xenobiotic agents and the different test that can be useful for evaluation of these responses.
Cross-section investigation of MgOH (X 2 Σ + ) fine-structure excitation by helium

Inelastic fine rotational cross-sections of the magnesium monohydroxide (MgOH) molecule by collision with helium (He) atoms are investigated. We illustrate the two-dimensional potential energy surface (2D-PES) for the MgOH–He interacting system. The ab initio 2D-PES is computed using the restricted coupled cluster approach with single, double, and perturbative triple excitation connected to an augmented-correlation consistent-polarized valence quadruple zeta Gaussian basis set. One minimum located at (θ = 0°; R = 8.25 bohr) on the side of the hydrogen atom is observed. Inelastic cross-sections are investigated for the 13 first fine rotational levels for a total energy up to 100 cm−1. Propensity rules toward odd ΔN and ΔN = Δj are found.
Comparing the Effects of Menthol-cold Water and Psyllium on Thirst and Xerostomia among Patients in Intensive Care Unit

The authors declare no conflicts of interest. *Corresponding author. E-mail address: eli1992nasiri@gmail.com Copyright © 2021 Tehran University of Medical Sciences. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Noncommercial uses of the work are permitted, provided the original work is properly cited. Comparing the Effects of Menthol-cold Water and Psyllium on Thirst and Xerostomia among Patients in Intensive Care Unit
Comparative Evaluation of Clinical and Radiological Parameters Following the Use of Biphasic Alloplastic Material With Amniotic Membrane/ Collagen Membrane for the Management of Periodontal Intra-bony Defects – a Prospective Double Blinded Randomised Controlled Clinical Trial

Background: The concept of periodontal regeneration has been revolutionised since the introduction of growth factors and bioactive bone substitutes which ensures optimal regeneration of the diseased periodontium. The aim of the present study was to evaluate the efficacy of Amniotic membrane + Biphasic Calcium phosphate as compared to Collagen membrane + Biphasic Calcium phosphate for the management of periodontal intrabony defectsMethods: 50 systemically healthy patients with localised moderate to severe periodontitis, sites which had a Probing Pocket Depth (PPD) ≥6 mm and an intrabony component of ≥3 mm as detected on Intra oral periapical radiographs (IOPAR) and bone sounding were recruited based on specific inclusion and exclusion criteria. They were randomly allocated by computer generated tables to CM+BiCP and AM+BiCP groups. The amount of bone fill and changes in Probing Pocket Depth, Clinical Attachment Level were measured at baseline and six months.Results: The results of the present study showed a mean reduction in the PPD of 2.89±. 69 mm in the CM+BiCP group and 2.95±. 57 mm in the AM+BiCP group and CAL gain of 2.60±1.43 mm in CM+BiCP group 3.18±1.13 mm in the AM+BiCP group at 6 months follow-up with no statistical significance between the groups. In terms of Defect resolution, 98.62 ± 6.51 % was achieved in CM +BiCP group and 98.25 ± 7.21 % in AM +BiCP group. Conclusion: Within the limitations of the present study, it can be concluded that AM can be used as a barrier membrane, in conjunction with Biphasic calcium phosphate, and provides comparable results to Collagen membrane with Biphasic calcium phosphate when used in the management of periodontal intrabony defects. Trail registration: The study protocol was approved by the Institutional Ethics Committee of Sri Ramachandra Institute of Higher Education and Research (IEC/18/DEC/145/51) and was registered in the Clinical Trial Registry of India [Ref No: CTRI/2020/03/0240075].
Local feature encoding for unknown presentation attack detection: An analysis of different local feature descriptors

In spite of the advantages of using fingerprints for subject authentication, several works have shown that fingerprint recognition systems can be easily circumvented by means of artificial fingerprints or presentation attack instruments (PAIs). In order to address that threat, the existing presentation attack detection (PAD) methods have reported a high detection performance when materials used for the fabrication of PAIs and capture devices are known. However, for more complex and realistic scenarios where one of those factors remains unknown, these PAD methods are unable to correctly separate a PAI from a real fingerprint (i.e. bona fide presentation). In this article, a new PAD approach based on the Fisher Vector technique, which combines local and global information of several local feature descriptors in order to improve the PAD generalisation capabilities, was proposed. The experimental results over unknown scenarios taken from LivDet 2011 to LivDet 2017 show that our proposal reduces the top state ‐ of ‐ the ‐ art average classification error rates by up to four times, thereby making it suitable in real applications demanding high security. In addition, the best single configuration achieved the best results in the LivDet 2019 competition, with an overall accuracy of 96.17%.
Optimal Determination of Photovoltaic Penetration Level Considering Protection Coordination

Photovoltaic (PV) systems have been gaining popularity among distribution network engineers. The integration of these small-scale sources has a variety of benefits for the distribution network. One of the most important benefits is the power loss reduction. However, a high penetration level of PV systems may disrupt the protection coordination of conventional overcurrent relays of the distribution network, reducing the profit of the electricity distribution company (EDC) due to healthy feeder de-energization. This paper determines the optimal penetration level of PV systems in the distribution network considering both power loss reduction profit and protection miscoordination cost to maximize the profit of the EDC. The merits of the proposed methodology are verified through several case studies on a simulation model of the IEEE 33-bus test system in the Electrical Transient Analyzer Program (ETAP) environment considering the reliability data of the IEEE Roy Billinton Test System.
E-readiness measurement tool: Scale development and validation in a Malaysian higher educational context

Abstract Increasing complexity towards harnessing the power of ICT on all levels has created uncertainty about higher educational technological capabilities and adequate strategies to develop e-readiness. In this study, an empirically grounded higher education e-readiness questionnaire in the domain of higher education was developed and validated. Exploratory factor analysis (n = 120) followed by confirmatory factor analysis (n = 336) was done which was presented in two forms; covariance model and the structural model. The covariance model showed that the 5 indicators (“Innovativeness”, “Infrastructure”, “Collaboration”, “Learning flexibility”, “Student experience”) and assigned 24 items were important e-readiness dimensions from the learners’ point of view. The structural models validated the previously extracted factors along with their indicators. As a practical tool, the e-readiness tool could assist institutions towards identifying issues that contribute towards e-readiness thereby formulating strategies accordingly. An example of how it can be used as a practical tool is presented in this paper.