Miracle-dz/UniFAR-FTUs huggingface dataset:
The Response of Airborne Mycobiome to Dust Storms in the Eastern Mediterranean

Airborne microbial communities directly impact the health of humans, animals, plants, and receiving ecosystems. While airborne bacterial and fungal communities have been studied by both cultivation-based methods and metabarcoding surveys targeting specific molecular markers, fewer studies have used shotgun metagenomics to study the airborne mycobiome. We analyzed the diversity and relative abundance of fungi in nine airborne metagenomes collected on clear days (“background”) and during dust storms in the Eastern Mediterranean. The negative correlation between the relative abundance of fungal reads and the concentrations of atmospheric particulate matter having an aerodynamic diameter smaller than 10 μm (PM10) indicate that dust storms lower the proportion of fungi in the airborne microbiome, possibly due to the lower relative abundance of fungi in the dust storm source regions and/or more effective transport of bacteria by the dust. Airborne fungal community composition was altered by the dust storms, particularly those originated from Syria, which was enriched with xerophilic fungi. We reconstructed a high-quality fungal metagenome-assembled genome (MAG) from the order Cladosporiales, which include fungi known to adapt to environmental extremes commonly faced by airborne microbes. The negative correlation between the relative abundance of Cladosporiales MAG and PM10 concentrations indicate that its origin is dominated by local sources and likely includes the indoor environments found in the city.
The Utilization of Mobile-Based Information Technology in the Management of Dengue Fever in the Community Year 2019-2020: Systematic Review

Introduction: Dengue fever is a public health problem that causes outbreaks in various regions of the country, including Indo-nesia, with high morbidity and mortality rates. Advances in information technology have introduced new design approaches that support patient education. Objective: This article aims to discuss mobile-based information technology to prevent dengue fever in society using a systematic review approach. Methods: This research method used a systematic review approach with the PRISMA protocol. The article search process was accessed on three electronic databases, namely PubMed, PLOS ONE, and Google Scholar. The keywords used in the search for journal articles are mobile applications, control of dengue fever, health promotion, and community. The articles’ criteria are primary data, year of publication (January 1, 2019 - October 6, 2020), in English, peer review, full-text articles, and discuss the use of mobile applications in controlling dengue fever. Result: The result obtained seven articles according to the inclusion criteria. The health applications consist of seven models, Mozzify, SMS, e-learning, FeverDX, Mobuzz, ThaiDengue, and VECTORS. The applications’ functions are as an educational medium, a dengue reporting system, and a prediction of dengue cases. Conclusion: The use of mobile-based health applications could improve public knowledge and increase community awareness in handling dengue fever.
Organizational reputation: In search of lost time

Organizational reputation has been an important concept in management research for more than 30 years. In this essay, we elaborate on the relationship between the notion of time and organizational reputation. We first review research on reputation in strategic management, highlighting the importance of the construct and how time has traditionally been conceptualized. We then build on existing organizational research on time as a way to advance the understanding of reputation as a more processual and socially constructed phenomenon; we argue that reputation formation, maintenance, and repair could be understood as a form of socio-symbolic work. Based on this foundation, we set out a research agenda providing a path for the investigation of the temporal features of reputation and reputation work.
Voice as a Signal of Human and Social Capital in Team Assembly Decisions

Team membership in today’s open talent economy is more fluid and interchangeable than ever before. In light of these dynamics, we consider how team members’ signaling of human and social capital, in the form of challenging or supportive voice, informs our understanding of how individuals across an organizational network self-assemble into temporary work teams. We test our hypotheses in two separate multiwave studies and find support for our hypotheses above and beyond the effects of homophily. In Study 1, we find support for a human capital pathway in which challenging voice in a team fosters perceptions of quality work that enhance one’s personal reputation in the broader network. Personal reputation, in turn, predicts team assembly decisions. In Study 2, we consider a social capital pathway alongside the human capital pathway. We find that supportive voice in a team fosters friendship that enhances the extent to which one is trusted in the broader network, and trust subsequently influences team assembly decisions. Potential team members appear to prioritize the social capital signaled by supportive voice more so than the human capital signaled by challenging voice, although those who possess both human and social capital are also highly sought during team formation. We discuss the implications of these findings for the literatures on voice and team assembly.
Validating the growth increment periodicity in the otoliths of three small progenetic gobies

We determined the efficacy of marking the otoliths of three small-sized progenetic gobies to validate their increment periodicity. These small gobies have high mortalities and rearing difficulties, making direct validation difficult. The otoliths were marked by immersing the fish in a bath of alizarin red S. The fishes were euthanatized and the number of increments in their otoliths laid down after the fluorescent mark were counted and compared with the number of elapsed days. The results validated the daily periodicity of Aphia minuta and Pseudaphya ferreri. The high mortality hindered the validation of Crystallogobius linearis.
IMPACT OF ADVANCED AND DELAYED IRRIGATION PRACTICES ON PHYSICO-CHEMICAL ATTRIBUTES OF POTATO TUBERS UNDER BED SOWING

The wise use of water resources is the dire need of the day due to the alarming situation of water crisis. Management Allowed Depletion (MAD) level irrigation technique is used to enhance crop yield as well as the precise use of water. The present study was designed to investigate the optimum MAD level (when to irrigate) at which tuber yield and quality did not deteriorate significantly. Four different MAD levels were scheduled i.e., irrigation applied when MAD 0 = 0%, MAD 20 = 20%, MAD 35 = 35%, and MAD 50 = 50% of available soil water depleted from the soil at Water Management Research Center, University of Agriculture, Faisalabad-Pakistan during the two successive winter growing seasons (2014-15 and 2015-16). Data of different physico-chemical properties and yield of potato tubers were gathered under the Randomized Complete Block Design (RCBD) and set into standard statistical techniques. Results revealed that physical parameters (i.e., length, thickness, diameter, weight, and actual volume) of potato tubers were significantly affected by the different MAD levels, while MAD 35 was at par with other irrigation schedules. Different MAD levels didn’t show significant effects on some of the physico-chemical properties (i.e., particle density, porosity, specific gravity, tuber starch content, and total soluble solids) of potato tubers, and revealed that these traits are entirely genetic based. While tuber size percentage and yield are significantly affected by the different MAD levels. The maximum yield (i.e., 15.52, 16.76 in tons acre -1 ) and crop water productivity (i.e., 14.19 and 14.64 in kg m -3 ) were also observed at MAD 35 during both years. In nutshell, results revealed that both advanced and delayed irrigation practices severely affect the physical parameters, yield as well as to some extent physico-chemical traits of potato tubers. Therefore, 35% MAD level schedule is the optimum one and recommended for potato cultivation under bed sowing.
Multi-Objective Constrained Optimizations Based Fuzzy Fault Tolerance Algorithm of Quarter Vehicle Suspensions

In this paper, a novel fuzzy fault tolerance algorithm is proposed for quarter vehicle active suspensions based on multi-objective constrained optimizations, which improves the riding comfort and driving safety. The objective function approach the optimal solutions via integrating multi-objective constraints as cost functions. By introducing the barrier function, the nonlinear active suspensions with multi-objective constraints are transformed into pure feedback systems without constraints. The problem is rather complicated yet challenging if the actuator faults are taken into account in quarter vehicle. The actuator faults are solved by the utilization of proportional actuation method. The unknown smooth dynamics based on physical truth are identified by exploiting the fuzzy logic knowledge. Meanwhile, the signals received in the suspensions do not violate the constraint boundary. Finally, the simulation results show that the algorithm is effective.
Disentangling Human–Plant–Animal Dynamics at the Microscale: Geo-Ethnoarchaeological Case Studies from North Africa and the Near East

Livestock dung is a suitable material for delineating the complexity of interactions between people, plants and animals as it contains critical information on environmental and ecological issues as well as socio-economic dynamics and cultural lifeways. However, animal faecal remains and other coprogenic materials are commonly overlooked in most archaeological research programs due, in part, to methodological challenges in its recovery and identification. This paper evaluates the contribution of integrated geoarchaeological approaches, together with comparative reference ethnoarchaeological records, to interdisciplinary microscopic analyses on the identification of animal dung and its archaeological significance within farming built environments. It brings together records from a selection of recent geo-ethnoarchaeological case studies across the Near East, one of the heartlands of plant and animal domestication, and from northern Africa, an understudied key area with critical implications for neighbouring regions such as the Sahara. This article examines the state-of-the-art of dung material identifications within agricultural and pastoral settlements and their potential for tracing ecological diversity, animal management strategies, penning, grazing and foddering, seasonality, and dung use. This review highlights the value of modern reference frameworks of livestock dung as a primary source of information for disentangling human–plant–animal dynamics through time and space.
Creating an Online Self: Developing Virtual Identity in Online Group Interaction Spaces

Online groups have pervasively become platforms for association and interaction. Hence, it is important to study how interactions on these virtual groups affect the selves of individual group members, and whether communication activities in these groups lead to formation of virtual identities of active members which is distinguishable from their non-mediated identity. To analyze the development of virtual identity, four focus group discussions of ten youthful participants each, who were members of various online groups, were conducted and eight social media experts were interviewed. Concepts of Communication Theory of Identity (CTI) and Uses and Gratification Theory were employed to analyze collected data in assessing how online group interactions that involve fashioning identity, impression management, anonymity and pro-social behavior lead to formation of online group members virtual identity. We first interrogate how these online groups shape behavior online by interrogating the individual group member’s conversations and actions online and paralleling them with their conversations and actions offline. Second, using the three-dimensional identity formation model (Crocetti, Rubini, & Meeus, 2008), we crystalize how these online interactions and behavior cause individual group member’s to feel, think and understand themselves in ways that promote a unique online-self, which we refer to as the virtual identity.
Evaluation of quality of life in dogs with atopic dermatitis and their owners after lokivetmab therapy

Canine atopic dermatitis is an inflammatory and pruritic skin disease, with clinical characteristics associated with IgE antibodies, most commonly directed against environmental allergens which impact the quality of life in affected animals and their owners. Treatment is multifaceted and must be adapted to each patient individually. Currently, a medication based on caninized monoclonal antibody (mAb), called lokivetmab, has shown promise for controlling the signs of the disease, as it neutralizes interleukin IL-31, a cytokine that plays an important role in the pathogenesis of atopy. The impact of dermatological diseases in the life of the dog and its owner has only been studied in recent years through validated questionnaires. This additional measurement tool is important for evaluating the therapeutic success of interventions in atopic dermatitis, as clinical improvement may not correlate with an increased quality of life. This study aimed to evaluate the quality of life in dogs with atopic dermatitis and their owners after lokivetmab therapy. Ten atopic dogs treated at the dermatology service of the Veterinary Hospital of the Veterinary School from UFMG were selected. Quality of life was assessed using a validated questionnaire, before and after lokivetmab therapy. It concludes that treatment with lokivetmab significantly improved the quality of life of dogs with atopic dermatitis and their owners.
Cyber Security Awareness and Behavior of Youth in Smartphone Usage: A Comparative Study between University Students in Hungary and Vietnam

: Within the digital culture, the increasing internet consumption and the constant development of technology, especially smartphones have made cyber awareness turn to be increasingly urgent. This study focuses on comparing the level of cyber security awareness, knowledge and behavior among university students in general and between Hungary and Vietnam in particular. Research data was collected, using a set of questionnaires and the 313 responses from University Students, in different school years and fields of study, in Hungary and Vietnam. Quantitative analysis was conducted using SPSS. Results show that all respondents possess a lack of knowledge of cyber security, leading to a low level of cyber threat awareness, beyond the differences in respondent countries. However, there are minor differences in the behavior, between respondents in Hungary and Vietnam, which were measured through four dimensions of cyber security: malware items, password usage issues, social engineering and online scam issues. This research helps to raise awareness of differences in cyber security mindfulness, due to cultural characteristics, that can be considered, when developing global mega-systems, such as, social platforms.
Prejudice in Testimonial Justification: A Hinge Account

Although research on epistemic injustice has focused on the effects of prejudice in epistemic exchanges, the account of prejudice that emerges in Fricker's (2007) view is not completely clear. In particular, I claim that the epistemic role of prejudice in the structure of testimonial justification is still in need of a satisfactory explanation. What special epistemic power does prejudice exercise that prevents the speaker's words from constituting evidence for the hearer's belief? By clarifying this point, it will be possible to address two more general issues concerning the nature of prejudice: its resistance to counterevidence and the steps involved in overcoming prejudice. I propose a hinge account of prejudice, based on the recent perspective of hinge epistemology, to help clarify these aspects. According to the hinge account, prejudices share a fundamental feature with hinges: they work as norms of evidential significance, and as such, they determine what can and cannot count as evidence for belief.
The Mediating Role of Adaptive Cognitive Emotion Regulation in the Effect of Deliberate Rumination upon Posttraumatic Growth

In this study, the mediator role of adaptive cognitive emotion regulation in the effect of deliberate rumination upon posttraumatic growth was aimed to be analyzed. A convenience sample of 272 university students including 175 (64,3%) females and 97 (35,7%) males was recruited from a university in Denizli, Turkey. Ages of the participants ranged between 20 and 37 with an average age of 21.94 years (SD=1.69). The Posttraumatic Growth Inventory, Event Related Rumination Inventory and Cognitive Emotion Regulation Questionnaire were used for collecting the data. The data were analyzed using SPSS 23 and Amos 22 software packages. Deliberate rumination was determined to be significantly and positively correlated with posttraumatic growth (r=,28, p<,01) and positive cognitive emotion regulation (r=,25, p<,01). Moreover, positive cognitive emotion regulation was significantly and positively correlated with posttraumatic growth (r=,27, p<,01). The results indicated that adaptive cognitive emotion regulation mediated the effect of deliberate rumination on posttraumatic growth. The results, limitations, and implications of the study were discussed.
Semantic Change Detection With Gaussian Word Embeddings

Diachronic study of the evolution of languages is of importance in natural language processing (NLP). Recent years have witnessed a surge of computational approaches for the detection and characterization of lexical semantic change (LSC) due to the availability of diachronic corpora and advancing word representation techniques. We propose a Gaussian word embedding (w2g)-based method and present a comprehensive study for the LSC detection. W2g is a probabilistic distribution-based word embedding model and represents words as Gaussian mixture models using covariance information along with the existing mean (word vector). We also extensively study several aspects of w2g-based LSC detection under the SemEval-2020 Task 1 evaluation framework as well as using Google N-gram corpus. In the Sub-task 1 (LSC binary classification) of the SemEval-2020 Task 1, we report the highest overall ranking as well as the highest ranks for the two (German and Swedish) of the four languages (English, Swedish, German and Latin). We also report the highest Spearman correlation in the Sub-task 2 (LSC ranking) for Swedish. Our overall rankings in the LSC classification and ranking sub-tasks are <bold>1<inline-formula><tex-math notation="LaTeX">$^{\rm {st}}$</tex-math></inline-formula></bold> and <bold>7<inline-formula><tex-math notation="LaTeX">$^{\rm {th}}$</tex-math></inline-formula></bold>, respectively. Qualitative analysis has also been presented.
Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA-Based CDRT Networks With Imperfect SIC and Co-Channel Interference

In this paper, we investigate an underlay cognitive non-orthogonal multiple access (NOMA)-based coordinated direct and relay transmission network with imperfect successive interference cancellation, imperfect channel state information, and co-channel interference caused by a multi-antenna primary transmitter. In the secondary network, a source communicates with a near user via direct link and with a far user through the assistance of multiple relays subject to transmit power constraints. Four relay selection schemes are proposed to enhance the performance of NOMA users and the overall system throughput. In our analysis, exact closed-form expressions for the outage probability (OP) of NOMA users and for the overall system throughput are derived. To provide further insights, a performance floor analysis is carried out considering two power-setting scenarios: (i) the transmit powers at the secondary source and relays go to infinity and (ii) the peak interference constraint goes to infinity. Towards real-time configurations, we also design a deep learning (DL) framework for the OP and system throughput prediction. Our results show that the deep neural network exhibits the lowest run-time prediction and root-mean-square error among the proposed DL models. Furthermore, the predicted results based on DL framework match with those of the analysis and simulation.
Efficacy and safety of scleral crosslinking using poly(ethylene glycol)ether tetrasuccinimidyl glutarate for form-deprivation myopia progression in rabbits

Myopia is becoming increasingly prevalent worldwide at an alarming rate. However, no effective treatment is available for inhibiting myopia progression. Materials chemistry advancements have made it possible to regulate mechanical properties and rate of degradation with good compatibility by developing newly crosslinking systems such as the branched polyethylene glycol (PEG) systems. Herein, we presented a PEG molecule with N-hydroxysuccinimide (NHS) ester functional groups at the chain ends as a macromolecular crosslinking agent for the treatment of myopia. We found that the scleral collagen crosslinked with the four-armed star-shaped PEG molecule with NHS ester functional group (4S-PEG) showed better biomechanical properties, increased thermal stability and higher resistance to degradation. 4S-PEG exhibited relatively low cytotoxicity for human fetal scleral fibroblasts. The retrobulbar injection of 4S-PEG at a relatively low concentration (2.5 mM) showed good effective control of the progression of form-deprivation myopia in rabbits. There were no signs of adverse effect or damage by repeated injections with 4S-PEG in rabbits. The results of this work demonstrate that 4S-PEG can serve as a robust macromolecular crosslinking agent and is expected to have promise for application in the treatment of the progression of myopia.
Modeling and Proposal of a Black Phosphorus-based Nanostructure for Detection of Avian Influenza Virus in THz Region

In this paper, a multilayer/monolayer black phosphorus (BP)-based nanostructure is presented to detect the avian influenza virus. The nanostructur is a grating arrangement made of BP over SiO2 or Al2O3 substrate. To achieve the transmission spectrum, depend on the changes in the lateral length of BP, namely (L = 100, 150, 170 nm) as well as the complex refractive index of each of three viruses types (H1N1, H5N2, H9N2) in the THz range, the structure is numerically simulated by 3D Finite Difference Time Domain (3D-FDTD) method. The change in resonance frequency is greater for the H9N2 virus because the real part of its refractive index is relatively larger. Here, too, the rate of change is examined based on the different thicknesses of the H9N2 virus. Also, changes in the refractive index of the environment have been used to calculate important parameters in the sensors, such as sensitivity, FWHM, and figure of merit. Overall, this platform provides a promising platform for detecting influenza viruses.