Miracle-dz/UniFAR-FTUs huggingface dataset:
Proposal of new genera and species of the subfamily Diosaccinae (Copepoda: Harpacticoida: Miraciidae)

Representatives of several genera of the family Miraciidae (Copepoda: Harpacticoida) were found in sediment samples taken in the year 2019 from a coastal system in north-western Mexico. The subfamily Diosaccinae (Miraciidae) was by far the most diverse taxon followed by the subfamily Stenheliinae (Miraciidae). Here we report on a new miraciid species, Typhlamphiascus medici sp. nov., and provide a new amended diagnosis for Typhlamphiascus Lang, 1944 along with a key to its species. Additionally, Typhlamphiascus lamellifer lamellifer (Sars, 1911) and T. l. capensis Kunz, 1975 are considered as distinct species and the latter is given full species rank. Upon preliminary inspection, another diosaccin species was thought to be a derived form of Bulbamphiascus Lang, 1944. This promoted us to perform a more in-depth phylogenetic analysis. Our results showed that the new presumed derived form of Bulbamphiascus represents a new genus, Spinodiosaccus gen. nov. and that the genus Bulbamphiascus, which we propose a new amended diagnosis for, could be split into different genera. Also, the possible relationships amongst the different diosaccin clades found during our analyses are commented. We give a brief ecological analysis on the distribution of T. medici sp. nov. and S. primus gen. et sp. nov. in the Urías system.
Effect of Aronia melanocarpa fruit juice on carrageenan-induced paw edema in metabolic syndrome rats

INTRODUCTION: Chronic, low-grade inflammation plays a critical role in the pathogenesis of the metabolic syndrome (MS). Aronia melanocarpa fruits are rich in biologically active compounds—polyphenols, which possess a variety of health benefits including an anti-inflammatory effect. AIM: The aim of this article is to evaluate the effect of polyphenol-rich Aronia melanocarpa fruit juice (AMFJ) on carrageenan-induced acute inflammation in rats with diet-induced MS. MATERIALS AND METHODS: Forty male Wistar rats were included in the experiment. They were allocated into 4 groups: MS, MS+AMFJ 2.5 , MS+AMFJ 5 , and MS+AMFJ 10, all receiving high-fat high-fructose diet and 10% fructose in the drinking water for 10 weeks. The MS group served as a control and was treated daily with distilled water orally, while the other groups received AMFJ at doses of 2.5 mL/kg, 5 mL/kg, and 10 mL/kg, respectively. At the end of the experiment, carrageenan was injected in the left hind paw in order to induce acute inflammation. Paw edema was evaluated with plethysmometer on the 30 th min and 1 st , 2 nd , 3 rd , 4 th , and 5 th hour after the injection. RESULTS: In the MS group, the carrageenan-induced paw edema increased gradually with time reaching the highest value on the 5 th hour. A decrease throughout the whole 5-hour period was observed in groups treated with AMFJ, the effect being most pronounced and statistically significant in MS+AMFJ 5 group on the 2 nd and 3 rd hour. CONCLUSION: Aronia melanocarpa fruit juice treatment in rats with MS resulted in a decrease in the carrageenan-induced paw inflammation. The anti-inflammatory effect might be attributed to the polyphenols in AMFJ.
A Combined Approach For Collaborative Filtering Based Recommender Systems with Matrix Factorisation and Outlier Detection

ABSTRACT Recommender system is a data sifting tool that can recommend items that can be of interest to the user. Collaborative filtering (CF) makes recommendations based on the ratings the users give to items. But noisy or inaccurate ratings reduce the quality of the recommendations. In spite of extensive studies carried on CF-based recommenders, a robust recommender to handle outlier in dataset is a challenging problem. In this study, a Factor wise Matrix Factorisation model (FWMF) is proposed for the prediction of item rating in recommender systems. To further strengthen the proposed FWMF model, a meta learning model that combines density-based outlier detection and bagging outlier detection is proposed to detect outliers. The outliers predicted are eliminated, and a comparative analysis is carried with FWMF to find the effect of outliers in making recommendations. The experiments were analysed with various error metrics conducted on benchmark dataset show that the proposed outlier extent recommendation model outperforms the conventional CF-based systems.
Sources de supercontinuum pour la microspectroscopie Raman cohérente large-bande

La microspectroscopie Raman coherente (CARS) est une methode d'analyse optique sans marqueur qui permet d'identifier des liaisons moleculaires dans un milieu d'interet (echantillon) pour permettre de determiner la composition chimique de ce milieu. Elle necessite l'excitation concomitante de l'echantillon par deux ondes spectralement decalees (onde pompe et onde Stokes) afin de faire entrer en resonance les liaisons a detecter. Pour la detection de plusieurs liaisons simultanement (microspectroscopie Raman coherente large-bande ou Multiplex-CARS), la source Stokes monochromatique est remplacee par une source laser large-bande (supercontinuum). Les travaux effectues dans le cadre de cette these visent a proposer de nouvelles sources de supercontinuum emettant des faisceaux optimises en termes d'elargissement spectral et de densite spectrale de puissance pour la microspectroscopie Multiplex-CARS. Pour ce faire, les moyens de developper des continuums spectraux performants ont ete explores dans trois fibres optiques differentes: une fibre microstructurees air/silice monomode a gros cœur dope a l'ytterbium permettant une reamplification du signal tout au long de sa propagation ; une fibre monomode conventionnelle en regime de dispersion normale pour obtenir un elargissement spectral par saturation du gain Raman ; une fibre multimode dans laquelle le faisceau spectralement elargi par saturation du gain Raman a tres forte puissance subit egalement un auto-nettoyage spatial par effet Kerr tout au long de sa propagation, produisant en sortie un faisceau de forte brillance dont le profil d’intensite est semblable a celui du mode fondamental. Une etude spectrotemporelle complete est presentee pour ces trois sources.
A Contribution to the Experimental Microkinetic Approach of Gas/Solid Heterogeneous Catalysis: Measurement of the Individual Heats of Adsorption of Coadsorbed Species by Using the AEIR Method

The two first surface elementary steps of a gas/solid catalytic reaction are the adsorption/desorption at least one of the reactants leading to its adsorption equilibrium which can be or not disturbed by the others surface elementary steps leading to the products. The variety of the sites of a conventional catalyst may lead to the formation of different coadsorbed species such as linear, bridged and threefold coordinated species for the adsorption of CO on supported metal particles. The aim of the present article is to summarize works performed in the last twenty years for the development and applications of an analytical method named Adsorption Equilibrium InfraRed spectroscopy (AEIR) for the measurement of the individual heats of adsorption of coadsorbed species and for the validation of mathematical expressions for their adsorption coefficients and adsorption models. The method uses the evolution of the IR bands characteristic of each of coadsorbed species during the increase in the adsorption temperature in isobaric conditions. The presentation shows that the versatility of AEIR leads to net advantages as compared to others conventional methods particularly in the context of the microkinetic approach of catalytic reactions.
Harnessing the Benefits of Jute as Potherbs

Demand for unconventional potherbs is increasing and known medicinal values or high content of Vitamin A or protein or Vitamin C will help jute to be equally popular as cheap sources of these. Walking on the paths of age-old belief on utilization of Jute as pat shak or potherbs (plant parts like leaves, flowers, stems, etc, that can be used in cooking or seasoning and flavouring) in some confined areas of India, the present study was undertaken with five varieties each of oilitorius and capsularis grown in teaching Farm Mondouri, BCKV in Randomised Block Design (RBD) with four replications during 2018- 2019 (4 rows of 4 m each) following recommended agronomic practices. Planting was done in first week of april month and were harvested after one month. Biomass traits like leaf length (cm), number of leaves per plant, leaf width (cm), petiole length(cm), plant height (cm), weight per plant (gm) were recorded along with an estimation of Vitamin A, Vitamin C and protein content in the leaves. In olitorius heritability was moderately high in all the traits except a number of leaves along with moderate Genetic Advance as per cent of Mean (GAM) for Leaf length. Fresh weight indicates that this may be due to additive gene effects and selection for these types of traits may be always rewarding. In capsularis heritability was moderately high for all traits except for the leaf length along with moderate GAM for petiole length and fresh weight indicates that this may be due to additive gene effects and selection for these types of traits may be rewarding. JRO 524 recorded high biomass yield along with high content of vitamin A (6950 IU (approximately 40 % of carrot) can serve as a cheap source of Vitamin A in the northeast provinces where it can be successfully taken as a vegetable as it happens to be one among the twenty-five popularly cultivated leafy vegetables (shaks) in West Bengal. Young jute leaves are flavorful and tender are rich in betacarotene, iron, calcium, and Vitamin C. Criteria of selection for improvement of yield can be taken in terms of wt g per 10 plants as suggested in capsularis and both wt of leaves and petiole size and no of leaves in case of olitorius. Also it can be stated that the traits like no of leaves and Leaf length are more affected by environmental variations in case of olitorius and the trait like plant height in case of capsularis. JRO 524 recorded high biomass yield along with high content of vItamin A (6950 IU approximately 40 % of carrot) can serve as a cheap source of Vitamin A in the northeast provinces where it can be successfully taken as a vegetable.
Animal Abuse Proclivity Among Women: Exploring Callousness, Sadism, and Psychopathy Traits

ABSTRACT Two studies examining adult women are presented. The first (n = 162) examined the relationship between proclivity (i.e., interest in, predisposition) to abuse animals and the link to aggression motivation, with psychopathy traits, sadism, and general maladaptive personality explored. The second study (n = 159) extended to focus on callous-unemotional traits. We predicted that proclivity to abuse would be associated with increased proactive aggression, with the former also associated with higher levels of psychopathy, sadism, and callousness. These traits were expected to mediate the relationship between proclivity to abuse and aggression. Results confirmed that between one- to two-thirds of women reported at least some proclivity to abuse animals. An association between proclivity and proactive aggression was demonstrated, with callousness-uncaring and sadism representing important traits to account for. Results are discussed with attention to the implications for developing a theoretical understanding of the proclivity to abuse animals.
Deformation and Damage Assessments of Two DP1000 Steels Using a Micromechanical Modelling Method

Damage characterization and micromechanical modelling in dual-phase (DP) steels have recently drawn attention, since any changes in the alloying elements or process route strongly influence the microstructural features, deformation behavior of the phases, and damage to the micro-mechanisms, and subsequently the particular mechanical properties of the material. This approach can be used to stablish microstructure–properties relationships. For instance, the effects of local damage from shear cutting on edge crack sensitivity in the following deformation process can be studied. This work evaluated the deformation and damage behaviors of two DP1000 steels using a microstructure-based approach to estimate the edge cracking resistance. Phase fraction, grain size, phase distribution, and texture were analyzed using electron backscatter diffraction and secondary electron detectors of a scanning electron microscope and employed in 3D representative volume elements. The deformation behavior of the ferrite phase was defined using a crystal plasticity model, which was calibrated through nanoindentation tests. Various loading conditions, including uniaxial tension, equi-biaxial tension, plane strain tension, and shearing, along with the maximum shear stress criterion were applied to investigate the damage initiation and describe the edge cracking sensitivity of the studied steels. The results revealed that a homogenous microstructure leads to homogenous stress–strain partitioning, delayed damage initiation, and high edge cracking resistance.
The Experience of Absorption of New Immigrant Adolescents in the Digital Age, as Perceived by Mentors Who Work With Them From a Social-Emotional Point of View

Immigration of adolescents involves multiple, many-faceted changes. This study examined the experience of absorption of adolescents in Israel, in the digital age, through the eyes of mentors who work with them, from the mentors’ social-emotional perspective of themselves and of their students. In this mixed-method study, 122 mentors completed questionnaires with closed and open-ended questions, and wrote extensively about their difficulties. The findings show that most mentors (66%) worked hard to make their students part of the social fabric. Some of the mentors (34%) encountered problems resulting from misunderstandings and poor communication because of language difficulties and lack of control over pragmatic aspects in a sociocultural context. They strove to raise social awareness in the adolescents through observation, and to provide tools for reading and responding to behaviors, all the while encouraging social involvement. Mentors thought that digital environments helped them and the adolescents in their coping. Thanks to digital environments, especially smartphones, adolescents were able to blend into their new environment. Translation, databases, numerous applications, and groups on social networks respond to their needs and help with difficulties they encounter in real time, creating a sense of social connection and belonging.
IoT-Based Sanitizer Station Network: A Facilities Management Case Study on Monitoring Hand Sanitizer Dispenser Usage

Maintaining hand hygiene has been an essential preventive measure for reducing disease transmission in public facilities, particularly during the COVID-19 pandemic. The large number of sanitizer stations deployed within public facilities, such as on university campuses, brings challenges for effective facility management. This paper proposes an IoT sensor network for tracking sanitizer usage in public facilities and supporting facility management using a data-driven approach. Specifically, the system integrates low-cost wireless sensors, LoRaWAN, and cloud-based computing techniques to realize data capture, communication, and analysis. The proposed approach was validated through field experiments in a large building on a university campus to assess the network signal coverage and effectiveness of sensor operation for facility monitoring. The results show that a LoRaWAN created from a single gateway can successfully connect to sensors distributed throughout the entire building, with the sensor nodes recording and transmitting events across the network for further analysis. Overall, this paper demonstrates the potential of leveraging the IoT-based Sanitizer Station Network to track public health mitigation methods in a large facility, which ultimately contributes to reducing the burden of maintaining public health during and post-pandemic.
And the Winner Is ...? The Desirable and Undesirable Effects of Platform Awards

We study platform firms’ decision to recognize innovation by complementors ex post through awards. Despite being purely symbolic, awards might set incentives for complementors’ product strategies that can eventually lead to both desirable and undesirable outcomes for the platform firm. We depart from signaling theory and derive hypotheses on the effects of awards on complementors’ product strategies. To test them, we implement a quasi-experiment in the context of the Google Android mobile platform and the prestigious Google Play Award. We infer the effect of the award by estimating the difference-in-differences between award winners and runners-up, before and after the conferral. The main sample encompasses 125 award nominees and their 793 apps between 2016 and 2018. We report three findings. First, the award encourages recipients to focus on releasing complement improvements rather than new complements. Second, the award increases recipients’ likelihood of multihoming. Finally, the award increases new complement releases in the recipients’ market niche by attracting other complementors. We contribute to the platform governance literature by informing about the effects of awards. Additionally, our findings have theoretical implications for understanding “soft” platform governance mechanisms.
Docking Studies between the Predicted Model of Mouse Zinc Finger MYND Domain-Containing Protein 19 and Cofactor Product Adohcy; towards Drugs Development against Cancer, Obesity and Cardiovascular Diseases

Mouse Zinc finger domain-containing protein19 (ZMYND19) is a zinc-finger protein questioned after recently published data reported its C-terminal domain of 49 residues to be associated with cancer, obesity and cardiovascular diseases. The potent drugs are suggested to come from its interactions with ligands understanding. However, the diseases are becoming worse because the three-dimensional structure of Mouse ZMYND19 is not yet reported. Thus, this study analyzed structural interactions between the predicted 3D structure and cofactor products S-Adenosyl homocysteine (AdoHcy) using the computational approaches. Pairwise sequence alignment was performed in the iterated mode of protein blast against protein data bank (PDB) and CLUSTAL omega server was used to perform multiple sequence alignment. Phylogenetic analysis was performed using the PHYLIP package. Structure prediction was successfully completed with the use of SWISS model by exploring homology modeling. The predicted Model structure was evaluated using both ERRAT and PROCHECK servers. Docking studies were performed with the HEX8 package. The evaluation results of the predicted 3D structure suggest that the model is of good quality. Docking studies revealed a high affinity (– 214.24 KjMol-1) between the predicted 3D model and AdoHcy ligand. The interaction between the bound molecules suggests both compounds to be good candidates for cancer, obesity, cardiovascular diseases, thus these two compounds could be considered at the frontline for a potent drug development.
Non-invasive DNA extraction for molecular identification of royal Bengal tiger Panthera tigris tigris

The flagship animal species of Sundarbans, the Royal Bengal tiger (Panthera tigris tigris) is under threat of extinction. Its natural population is declining day by day. So, to avoid killing and harming the animal, the use of non-invasive samples such as scat, hair, or scent is preferred for DNA extraction and subsequent genotyping of tiger species. DNA has been extracted from scat samples of the Bengal tiger in the present study, and a fragment of the cytochrome b gene has been sequenced after PCR with species-specific primers. DNA has been extracted manually using a previously described methodology with slight modifications. The size of the PCR product and sequence of cytochrome b gene indicates that tiger DNA is successfully extracted from scat samples using tigerspecific primers. Thus, presence of tiger DNA can be detected by using this method just by the PCR product size in the gel. This is the first report of a partial sequence of mitochondrial cytochrome b gene of P. t. tigris from Bangladesh. Dhaka Univ. J. Biol. Sci. 30(2): 325-330, 2021 (July)
INSTAGRAM SEBAGAI MEDIA PEMBENTUK PERSONAL BRANDING

This study discusses Instagram as a personal branding media. The purpose of this research is to describe the factors that established personal branding. The research method used in this research is descriptive qualitative research. The informants in this study consisted of 3 celebgrams at the Garut City, Informants are determined by purposive sampling. The results of this study are, branding on Instagram social media is an effort to present information, messages and impressions through the activities carried out. Personal branding that is formed based on the main dimensions of the formation of personal branding that they show on each Instagram account including style, caption, special abilities or competences in a certain area controlled by celebrities and self-standards can form personal branding through a polish and well communication method.
Investigation of the higher education students’ participation in quality assurance processes based on the theory of planned behaviour: a case of Turkey

ABSTRACT This study aims to investigate Turkish higher education students’ participation behaviours in quality assurance systems. The data were collected from 113 students through a semi-structured qualitative questionnaire developed based on the theory of planned behaviour. The data were analysed under three main themes: feelings, subjective norms and perceived behavioural control. According to the results, students generally had positive opinions concerning their feelings about the quality assurance system and had positive subjective norms. However, the results for these two aspects indicated implementation-based passive participation rather than decision-based active participation. Challenges in behavioural control and ways of coping with these challenges were observed. The overall results has revealed the behavioural basis of student participation in quality assurance processes. In addition, the results can contribute to policy improvement processes in the higher education system and quality assurance activities for higher education institutions.
Blockchain and artificial intelligence for 5G‐enabled Internet of Things: Challenges, opportunities, and solutions

Internet of Things (IoT) has revolutionized the digital world by connecting billions of electronic devices over the internet. IoT devices play an essential role in the modern era when conventional devices become more autonomous and smart. On the one hand, high-speed data transfer is a major issue where the 5G-enabled environment plays an important role. On the other hand, these IoT devices transfer the data by using protocols based on centralized architecture and may cause several security issues for the data. Merging artificial intelligence to 5G wireless systems solves several issues such as autonomous robots, self-driving vehicles, virtual reality, and engender security problems. Building trust among the network users without trusting third party authorities is the system’s primary concern. Blockchain emerged as a key technology based on a distributed ledger to maintain the network’s event logs. Blockchain provides a secure, decentralized, and trustless environment for IoT devices. However, integrating IoT and blockchain also has several challenges; for example, major challenge is low throughput. Currently, the ethereum