Miracle-dz/UniFAR-FTUs huggingface dataset:
Varietal identification in olive tree (Olea europaea L.) by morphological and biometric characterization of fruits and stones of Algerian cultivars

(FAO, 2010) which have been selected mainly based on the size of their fruit, the proportion occupied by the pulp and the oil content. However, this number of cultivars is probably underestimated due to lack of information on local genotypes generally in the minority (El Bakkali et al., 2019). To overcome these problems, morphological traits have been cation of different olive cultivars (Ruby, 1917 in Idrissi and Ouazzani, 2006) as well as to describe the developed or found genotypes. Thus, a method of primary morphological characterization has been adopted by the International Olive Council (IOC) for a better agronomic valorization and knowledge of olive genetic resources (Barranco, 1994; IOC, 1997).
Performance Enhancement of a Hybrid AC-DC Microgrid Operating with Alternative Energy Sources Using Supercapacitor

Microgrids with non-conventional energy sources have become popular recently. Hybrid AC-DC microgrid (HMG) architecture is effectual as it avoids several power conversions for the consumers. Therefore, this article presents a comprehensive study on grid-tied HMG with PV array and wind energy conversion system (WECS) as principal sources. Fuel cell (FC) acts as the auxiliary source in the DC subgrid and the supercapacitor (SC) is used for instantaneous energy management. The hydrogen storage system is used to store surplus power produced by the PV array. The power flow between the subgrids is regulated using the interlinking converter (ILC) by a PQ controller. The main contribution of this article is the comparative investigation of system operation in the HMG configuration in the presence and absence of a supercapacitor bank on the DC bus. The maximum DC bus voltage fluctuation during load variations in the absence and presence of SC bank is found to be 6.6 V and 3.9 V respectively. Similarly, the maximum transient fluctuation in the power supplied to the DC load is found to be 830 W in the absence of SC bank and 340 W in the presence of SC bank
A combined molecular dynamics simulation and experimental method to study the compatibility between elastomers and resins

C5 and C9 petroleum resins are widely used in the rubber industry and their softening, tackifying and reinforcing effects highly depend on their compatibility and interaction strength with the rubber matrix. Herein, we chose five commercially used petroleum resins and two industrial solution polymerized styrene-butadiene rubbers (SSBR). By employing atomistic molecular dynamics (MD) simulation, the influence of resin composition on the compatibility was studied. Results show that different compatibility orders obtained from the solubility parameter (δ), binding energy (Ebinding), mean square displacement (MSD), and the related self-diffusion coefficient (Ds) match well with each other, and are consistent with our experimental solubility parameter data. More importantly, by calculating the non-bond energy (Enon-bond) between single resin chain and rubber units (styrene unit, trans-1,4 unit, cis-1,4 unit, and vinyl unit), it was found that the styrene unit has the strongest interaction with resins, while the cis-1,4 unit has the weakest, which fits well with the solubility parameter result that resins have better compatibility with SSBR than cis-polybutadiene rubber (cis-BR). This chain/unit level MD method saves much time compared to the traditional chain/chain level method. In general, by combining MD simulation and experiments, our work provides some guidance to a compatibility investigation between rubbers and resins, and may promote design and development of high-performance resins and other new materials.
The Mediating Effects of IEAP on the Relationship Between General Cognitive Ability of Imamship and Masjid Performance in Lagos State, Nigeria

The purpose of this study is to examine the mediating effects of IEAP (Islamic ethical administrative practices) on the relationship between general cognitive ability (GCA) of Imamship and Masjid (mosque) Performance (MP) in Lagos State, Nigeria. This study utilized a quantitative approach. It employs a cross-sectional survey and administers 310 online questionnaires to the Chief Imams of central Masaajid (plural of a mosque/mosques) in Lagos State, Nigeria. The study used statistical techniques to analyze the collected data with partial least square structural - equation modelling - version 3 (PLS-SEM-V3). In the Lagos State of Nigeria, people have criticized the effectiveness of imams in theState. The critiques were raised based on the reason that the participation of Muslim Ummah in activities organized by imams is low. Ineffectiveness of imams this study aims to formulate the mediating effect of IEAP that will serve as the best administrative policy that can lead to a better management system in the Masjid to improve Masjid attendance and serve as an attraction for Muslims Ummah to come to the Masjid. The results of data on MP equally demonstrate that the Jama’ah would emulate their Chief Imams and consequently increase the performance of the Masaajid. This study recommends that with the presence of IEAP, the effectiveness of Chief Imam in promoting efficiency in MP by imbibing the knowledge/wisdom, truthfulness, responsibility/trust, and deliverance of Khutbah will increase. Finally, key benefits for practitioners and academia were discussed under the theoretical and practical contributions, while necessary suggestions for future study were recommended.
Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and collection. The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain. Moreover, remote sensing has the capability to support the development of farming applications with the aim of facing this main defy, via giving cyclic records on yield status during studied periods at diverse degrees and for diverse parameters. Various hi-tech, computer-supported structures are created to determine different central factors such as plant detection, yield recognition, crop quality, and several other methods. This paper includes the techniques employed for the analysis of collected information in order to enhance the productivity, forecast eventual threats, and reduce the task load on cultivators.
BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets

Nowadays, Deep Learning tools have been widely applied in biometrics. Electrocardiogram (ECG) biometrics is not the exception. However, the algorithm performances rely heavily on a representative dataset for training. ECGs suffer constant temporal variations, and it is even more relevant to collect databases that can represent these conditions. Nonetheless, the restriction in database publications obstructs further research on this topic. This work was developed with the help of a database that represents potential scenarios in biometric recognition as data was acquired in different days, physical activities and positions. The classification was implemented with a Deep Learning network, BioECG, avoiding complex and time-consuming signal transformations. An exhaustive tuning was completed including variations in enrollment length, improving ECG verification for more complex and realistic biometric conditions. Finally, this work studied one-day and two-days enrollments and their effects. Two-days enrollments resulted in huge general improvements even when verification was accomplished with more unstable signals. EER was improved in 63% when including a change of position, up to almost 99% when visits were in a different day and up to 91% if the user experienced a heartbeat increase after exercise.
MPC Based Coordinated Active and Reactive Power Control Strategy of DFIG Wind Farm with Distributed ESSs

The ESS is considered as an effective tool for enhancing the flexibility and controllability of a wind farm, and the optimal control scheme of a wind farm with distributed ESSs is vital to the stable operation of wind power generation. In this paper, a coordinated active and reactive power control strategy based on model predictive control (MPC) is proposed for doubly fed induction generator (DFIG)-based wind farm (WF) with distributed energy storage systems (ESSs). The proposed control scheme coordinates the active and reactive power output among DFIG wind turbines (WTs), grid-side converters (GSCs), and distributed ESSs inside the WF, and the aim is to decrease fatigue loads of WTs, make the WT terminal voltage inside the extent practicable, and take the WF economic operation into consideration. Moreover, the best reactive power references of DFIG stator and GSC are produced independently based on their dynamics. At last, the control scheme generates optimal power references for all ESS to make the SOC of each ESS converge to their average state. With the distributed ESSs, the WF controller regulates the WTs inside WF more flexibly. A WF composed of 10 DFIG WTs was utilized to verify the control performance of the proposed coordinated active and reactive power control strategy.
Mental health and psychological wellbeing in the early stages of doctoral study: a systematic review

ABSTRACT As concerns about poor mental health and psychological wellbeing (wellbeing) in doctoral students grow, the early stage of doctoral study could be a prime opportunity for early intervention and prevention strategies. To inform the development of such strategies, it is important and timely to understand what is known about doctoral student mental health and wellbeing in the early stages. The aim of this systematic mixed studies review was to synthesise published research on mental health and wellbeing in early-stage doctoral students (ESDS). After conducting electronic searches on 10 databases and manual searches, 26 studies matching the eligibility criteria were identified. Thematic synthesis revealed there is limited evidence regarding the prevalence of mental health and wellbeing concerns and the effects of the transition to doctoral study on mental health and wellbeing. More promisingly, the synthesis generated understanding of factors related to mental health and wellbeing in ESDS. Finally, a single mental health and/or wellbeing intervention in ESDS was identified. The review underscores the need for more high-quality research to allow more robust conclusions to be drawn about mental health and wellbeing in ESDS.
Asset management competency requirements in Australian local government: a systematic literature review

ABSTRACT The objective of this systematic literature review was to investigate the current understanding of the competencies needed by Engineering Asset Management personnel in local authorities within Australia. During the development of the search string for the literature review, it was found that there were no available peer-reviewed articles on Engineering Asset Management competencies through an Australian local authority lens between January 2010 and December 2019 within the searched databases. Based on this, the search string criteria was re-focused onto Engineer Asset Management competencies within Australia (in general), as the new frame. Using this updated string search, the authors searched several databases (EBSCOHost, Informit, Scopus Informit and Web of Science) for research published in English between January 2010 and December 2019 that detailed the competencies deemed necessary for personnel undertaking Engineering Asset Management activities within the Australian context. Additional records were searched for in relation to the topic, from a range of Engineering and Engineering Management Conferences held between 2010 and 2019. Two hundred and thirty publications were identified through database searches, while eight conference proceedings were identified from the additional conference search. These were initially checked for duplicates, and then subjected to the refinement stage against a detailed review criteria, as per the PRISMA framework checklist process. Four articles progressed through the full PRISMA framework process. Further in-depth reviews of the remaining four papers found that one article was principally focused on the Australian Quality Framework (AQF) certification training processes, while the remaining three papers contained data of competency requirements (and example subjects) for Engineering Asset Management personnel within Australia. This data was collated, and through a deductive qualitative content analysis, was coded into three common themes: (1) Technical skills, (2) Professional skills – internally focused and (3) Professional skills – externally focused. The review process undertaken within this research initially showed that there were no papers within the original search frame of Australian local authorities, while the updated search detailed limited available literature within the general Australian context. This highlights an apparent gap within the available literature for the research topic scope during the period within January 2010 and December 2019.
On Your Marx…? A World to Win or the Dismantlement of a Profession? On Why We Need a Reckoning

This essay adds to the debate started by Chris Maylea, who called for ‘an end to social work’, and subsequently joined by Paul Michael Garrett, who offered a riposte to Maylea’s call, whilst also illustrating the possibility of ‘dissenting social work’. Whilst not constructed as a direct response to either, this essay does engage with each and enters similar territory in the hope of extending the debate. The main thrust of what is presented here then suggests that rather than dismantling the profession and before imagining a new social work paradigm, we would do well to examine how social work is currently defined and whether or not this definition is reflective of contemporary social work practice, particularly in the liberal welfare states of the anglosphere. Effectively, I argue that it is not and that this is evident through what I term ‘the unfulfilled promise of social justice’. On this basis, I want to argue for a more expansive understanding of social work as an act of reclamation that challenges how social work has become ensconced within repressive state apparatuses. In doing so, I suggest that we should move to ‘reclaim’ our radical roots by turning to ‘ideas lying around’.
Exploring the potential of applying infrared vibrational (micro)spectroscopy in ergot alkaloids determination: Techniques, current status, and challenges

ABSTRACT Ergot alkaloids (EA) are toxins produced mainly by Claviceps fungi and are considered as one of the most important groups of mycotoxins. Rapid and reliable detection techniques are urgently required by producers, importers and market regulators. As a promising alternative to conventional wet chemistry, infrared (IR)-based techniques are non-destructive, rapid and cost-effective. However, very limited studies on the qualitative or quantitative analysis of ergot or EA in food or feed based on IR vibrational spectroscopy have been reported so far. Being a secondary technique, the accuracy of IR method heavily depends on the robustness of chemometrics models. This paper aims to offer a brief overview of the EA issue in food and feed, conventional detection methods, theoretical principles of IR-based techniques and commonly used chemometrics for spectral data processing. In addition, the current application status of IR spectroscopy in ergot research is also considered.
Local Electric Fields Dictate Function: The Different Product Selectivity Observed for Fatty Acids Oxidation by Two Deceptively Very Similar P450-Peroxygenases OleT and BSbeta

Cytochrome P450 peroxygenases use hydrogen peroxide to hydroxylate long-chain fatty acids by bypassing the use of O 2 and a redox partner. Among the peroxygenases, P450 OleT uniquely performs decarboxylation of fatty acids and production of terminal olefins. This root taken by P450 OleT is intriguing, and its importance is augmented by the practical importance of olefin production. As such, this mechanistic choice merits elucidation. To address this puzzle we use hybrid QM/MM calculations and MD simulations for the OleT enzyme as well as for the structurally analogous enzyme, P450 BSβ . The study of P450 OleT reveals that the protonated His85 in the wild-type P450 OleT , plays a crucial role in steering decarboxylation activity by stabilizing the corresponding hydroxoiron(IV) intermediate (Cpd II). In contrast, for P450 BSβ in which Q85 replaces H85, the respective Cpd II species is unstable and it reacts readily with the substrate radical by rebound, producing hydroxylation products. As we show, this single-site difference creates in P450 OleT a local electric field (LEF), which is significantly higher than that in P450 BSβ . In turn, these LEF differences are responsible for the different stabilities of the respective Cpd II/radical intermediates, and hence for different functions of the two enzymes. P450 BSβ uses the common rebound mechanism and leads to hydroxylation, whereas P450 OleT proceeds via decarboxylation and generates terminal olefins. Olefin production projects the power of a single residue to alter the LEF and the enzyme’s function!
Production Optimization and In Vitro Evaluation of Anti-Proliferative, Anti-Oxidant and Anti-Inflammatory Potential of the Antibacterial Peptide MAFP9

Peptides are important natural bioactive agents obtained from various sources including microbes, plants and animals. The present study involved the optimization and physicochemical characterization of an antibacterial peptide MFAP9 produced by a marine fungus Aspergillus fumigatus BTMF9 and its vitro evaluation of antiproliferative, antioxidant and anti-inflammatory potential. Antiproliferative activity was performed using A549 lung carcinoma and normal L929 fibroblast cell lines employing MTT assay method. Antioxidant activity was assessed using DPPH assay and Cox2 inhibition assay of peptide treated LPS stimulated THP1 cell lines was used for anti-inflammatory studies. The results of in vitro antiproliferative activity assessment showed that MFAP9 was cytotoxic with an IC50 value of 29 µg/mL towards A549 cells. Fluorescence microscopic analysis revealed apoptotic features such as chromatin condensation and alterations in the size and the shape of cells after treatment with MFAP9 at a concentration 50 µg/mL. The DPPH radical scavenging activity of MFAP9 exhibits reasonably higher scavenging activity compared to that of standard antioxidant at same concentration level. Moreover, MFAP9 showed significant anti-inflammatory activities. Time course experiment was conducted with the Czapek- Dox medium and optimized the rate of MFAP9 production. The study on various physico-chemical parameters on the stability revealed that the maximum active temperature of MAFP9 is 50oC, stable in basic pH and 1 mM concentration of Ni2+, Cd2+ and Mg2+ promotes the peptide activity. Hopefully, by employing the advancements in proteomics, bioinformatics, and modification strategies, MFAP9 could emerge as novel promising therapeutic drug in future for various clinical applications.
Quality of Life in Poor Neighborhoods through the Lenses of the Capability Approach—A Case Study of a Deprived Area of Łódź City Centre

The aim of the paper is to identify the mechanisms shaping the quality of life of the residents of poor neighborhoods based on the example of a deprived area of Łódź city center. To analyze this multidimensional phenomenon, the capability approach is used with a special focus on conversion factors that limit the pursuit of preferred lifestyles. Based on 80 in–depth interviews with residents and register data from public authorities (at the building level, which enables presenting the detailed spatial distribution of the analyzed issues), individual trajectories in the form of individual mechanisms have been established and then aggregated. The aggregation is presented as a web of social exclusion. The collected information has allowed the author to create a categorization of conversion factors in degraded areas that take into account their interrelationships and complex cause–effect mechanisms. The classification is constructed using the following categories: housing conditions, economic wealth, knowledge and skills, norms, attitudes and social capital, work environment, and life conditions (defined mainly as access to public services and space). Combining quantitative data (at the building level) with qualitative data provided the author with crucial input for the identification of specific public policy actions that can affect conversion factors.
Adaptive Predictive Control with Neuro-Fuzzy Parameter Estimation for Microgrid Grid-Forming Converters

Model predictive control (MPC) is a flexible and multivariable control technique with better dynamic performance than linear control. However, MPC is sensitive to parametric mismatches that reduce its control capabilities. In this paper, we present a new method of improving the robustness of MPC to filter parameter variations/mismatches by easily implementable parameter estimation. Furthermore, we extend the proposed technique for wider operating conditions by novel neuro-fuzzy estimation. The results, which are demonstrated by both simulations and real-time hardware-in-the-loop tests, show a steady-state parameter estimation accuracy of 95%, and at least 20% improvement in total harmonic distortion (THD) than conventional non-adaptive MPC under parameter mismatches up to 50% of the nominal values.
Minireview: Trends in Optical-Based Biosensors for Point-Of-Care Bacterial Pathogen Detection for Food Safety and Clinical Diagnostics

ABSTRACT This review considers the evolution of optical-based biosensors for bacterial pathogen detection as the causative agents for different diseases. Conventional identification and detection techniques are tedious, expensive and time-consuming, typically requiring sample pretreatment and hours to days to provide the results. For the successful monitoring of bacterial pathogen infection, fast, accurate, cost-effective and reliable techniques to simultaneously detect multiple bacterial pathogens and microbial metabolites are of the utmost importance in fields such as the food industry and healthcare. In addition, miniaturized, small amount of sample, easy to use with minimal accessories, and portable device should take advantage for rapid and point-of-care (POC) diagnosis. Optical transduction plays a substantial character in the development of such miniaturized and integrated biosensors as the alternatives to conventional analytical methods. In this review, we consider trends in point-of-care bacterial pathogen detection, different biorecognition elements, immobilization techniques, and optical based transduction methods applied for bacterial pathogen detection along with the respective advantages and drawbacks of each technique. Moreover, some examples of recently reported techniques for point-of-care analysis are also discussed. The analytical performance and characteristics of an ideal biosensor are discussed based on literature biosensor descriptions.