Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation and Identification Of Ascomycetous Yeast Producing Phytase

The objective of the study was to isolate, identify and characterize phytase producing yeast. The yeast was isolated from various resources, and the identification of yeast was conducted by the sequencing of the ITS region. Of 41 isolates, 24 isolated produced phytase. The highest phytse producing yeast was identified as Candida natalensis YEG 132, Saturnispora quitensis YEg 135, and Candida albicans YEg 226. These isolates were able to use various carbon and nitrogen sources. The maximum phytase production depends on isolates, media composition, pH and incubation temperature. Temperature affected phytase production. All isolates produce the highest phytase was at 30°C. Increased temperature to 35° C and 40°C inhibits phytase production by all strains. S. quitensis was the highest isolate inhibited by an increase of incubation temperature. The pH of cultures affects phytase production and varies depending on isolate. S. quitensis and Candida natalesis produced the highest phytase activities at pH 5.0, while C. albicans was at pH 6.0. All isolates were able to assimilate glucose, dextrose, sucrose, xylose and lactose. In general, glucose was the best carbon source for phytase activity. But each isolate has its preferential on carbon sources. S. quitensis produced the highest phytase on glucose, but not on dextrose. Each isolate has preferential on nitrogen sources. Yeast extract was the best N-sources for C. albicans, while ammonium sulfate was best for C. natalensis, S. quitensis. Ammonium nitrate was not favorable for phytase production by C. natalensis. Candida natalensis YEG 132, Saturnispora quitensis YEg 135, and Candida albicans YEg 226 was a good candidate for phytase production.
Protists and collembolans alter microbial community composition, C dynamics and soil aggregation in simplified consumer–prey systems

Abstract. Microbes play an essential role in soil functioning including biogeochemical cycling and soil aggregate formation. Yet, a major challenge is to link microbes to higher trophic levels and assess consequences for soil functioning. Here, we aimed to assess how microbial consumers modify microbial community composition (PLFA markers), as well as C dynamics (microbial C use, SOC concentration and CO2 emission) and soil aggregation. We rebuilt two simplified soil consumer–prey systems: a bacterial-based system comprising amoebae (Acanthamoeba castellanii) feeding on a microbial community dominated by the free-living bacterium Pseudomonas fluorescens and a fungal-based system comprising collembolans (Heteromurus nitidus) grazing on a microbial community dominated by the saprotrophic fungus Chaetomium globosum. The amoeba A. castellanii did not affect microbial biomass and composition, but it enhanced the formation of soil aggregates and tended to reduce their stability. Presumably, the dominance of P. fluorescens, able to produce antibiotic toxins in response to the attack by A. castellanii, was the main cause of the unchanged microbial community composition, and the release of bacterial extracellular compounds, such as long-chained polymeric substances or proteases, in reaction to predation was responsible for the changes in soil aggregation as a side effect. In the fungal system, collembolans significantly modified microbial community composition via consumptive and non-consumptive effects including the transport of microbes on the body surface. As expected, fungal biomass promoted soil aggregation and was reduced in the presence of H. nitidus. Remarkably, we also found an unexpected contribution of changes in bacterial community composition to soil aggregation. In both the bacterial and fungal systems, bacterial and fungal communities mainly consumed C from soil organic matter (rather than the litter added). Increased fungal biomass was associated with an increased capture of C from added litter, and the presence of collembolans levelled off this effect. Neither amoebae nor collembolans altered SOC concentrations and CO2 production. Overall, the results demonstrated that trophic interactions are important for achieving a mechanistic understanding of biological contributions to soil aggregation and may occur without major changes in C dynamics and with or without changes in the composition of the microbial community.
Natural regeneration of woody and herbaceous species in ecological restoration areas in the Atlantic Forest

Natural regeneration of forests is one of the most important tools for inferring about the behavior of forest restoration processes. In this context, the objective of this study was to evaluate the natural regeneration in an area of Dense Rainforest of the Lowlands after 8 years of implementation of the restoration project. The area consisted of six treatments (factorial 3 × 2), with three levels of species richness, two spacings and three repetitions, in randomized blocks. In each treatment and in the mature forest three plots of 5 × 10 m were demarcated, identifying all woody and herbaceous individuals. Floristic diversity (H’) and equability (J’) were calculated, in addition to the Distended Correspondence Analysis (DCA). The floristic diversity and equability were lower in areas undergoing restoration (H’ = 1.82 nats indiv-1 and J’ = 0.51). The DCA resulted in the formation of distinct groups, which differ from the mature forest of the area under restoration. In all treatments, a large number of herbaceous individuals were registered (3,963), which may have negatively influenced the establishment of woody individuals (351). The statistics revealed that the shared treatments of many woody and herbaceous species, reinforcing that planting with greater richness of species is no guarantee of success in establishing natural regeneration with high diversity.
Wi-ESP - A tool for CSI-based Device-Free Wi-Fi Sensing (DFWS)

Recent progress in Device-Free Wi-Fi Sensing (DFWS) has established the use of wireless signals like Wi-Fi not only to communicate but also as a tool to enable device-free sensing. As an emerging technique, DFWS has many capable applications such as sensing activity and gesture and fall detection, monitoring elderly, surveillance, and many more applications while waiving out the necessity to mount devices on the object. A wide range of applications can use the channel state information (CSI) from commercial Wi-Fi devices pervasively for ubiquitous sensing. Existing CSI tools, such as the Intel 5300 network interface controller tool or the Atheros 9390 tool, have limitations when deployed in large-scale systems due to their high deployment costs and limitations in the resolution of CSI measurements. Due to these shortcomings, DFWS applications need an alternative CSI tool in order to perform efficiently. In this paper, we present ESP32-based Wi-ESP as a CSI gathering tool that can report detailed CSI measurements based on 802.11n standards. The proposed Wi-ESP tool works as a complete device by collecting the CSI measurements as well as processing further for DFWS applications. Wi-ESP can work as standalone device, unlike other CSI tools, and can offer large-scale deployment to many DFWS applications. In this paper, we have explored the options of Wi-ESP as a tool for CSI measurements and processing and propose it as a tool for DFWS.
Framework for assessing responsiveness to personal data breaches based on Capture-the-Flag

Many state agencies and companies collect personal data for the purpose of providing public services and marketing activities and use it for the benefit and results of the organization. In order to prevent the spread of COVID-19 recently, personal data is being collected to understand the movements of individuals. However, due to the lack of technical and administrative measures and internal controls on collected personal information, errors and leakage of personal data have become a major social issue, and the government is aware of the importance of personal data and is promoting the protection of personal information. However, theory-based training and document-based intrusion prevention training are not effective in improving the capabilities of the privacy officer. This study analyzes the processing steps and types of accidents of personal data managed by the organization and describes measures against personal data leakage and misuse in advance. In particular, using Capture the Flag (CTF) scenarios, an evaluation platform design is proposed to respond to personal data breaches. This design was proposed as a troubleshooting method to apply ISMS-P and ISO29151 indicators to reflect the factors and solutions to personal data operational defects and to make objective measurements.
A targeted phylogenetic approach helps explain New World functional diversity patterns of two eudicot lineages

Large‐scale functional diversity studies typically examine isolated traits, often without phylogenetic context. Here, we integrate data from five life‐history traits with phylogeny and occurrence records to assess: (a) correlated latitudinal gradients of trait combinations; (b) which traits show phylogenetic conservatism and (c) quantitative, clade‐specific differences in trait syndromes, illustrating the phylogenetic scale of observable variation in ecological strategies.
A new UHF/ultra wideband‐radio frequency identification system to solve coexistence issues of ultra wideband‐radio frequency identification and other in‐band narrowband systems

This paper presents a new Ultra Wideband‐Radio Frequency Identification (UWB‐RFID) transceiver to mitigate the coexistence issues of RFID systems and IEEE802.11. a WLAN or other narrowband (NB) systems. The UWB pulse used in the RFID tag is a frequency up‐conversion of the Gaussian pulse first derivative, which has a null in the frequency spectrum. The null is adjusted to be at the center frequency of the WLAN signal, mitigating the mutual interference between RFID and NB systems. In the receiving state, the proposed RFID reader operates in five modes: interference detection, transmitter frequency adjustment by sending commands to the tag, time‐window synchronization, phase and frequency locking, and data reception. During the interference detection mode, the reader serves as a superheterodyne receiver, while it works as an envelope and matched‐filter receiver in the synchronization and locking modes, respectively. In this paper, we show analytically that the reader's frequency in a Phase‐Locked Loop (PLL) can lock on the null frequency of the transmitted signal by the tag. Furthermore, the reader's performance with particular emphasis on PLL and synchronization in the presence of a strong NB interferer is also evaluated. Simulation results demonstrate that the frame synchronization and the phase and frequency lock of the proposed UWB‐RFID transceiver are possible.
Strategic Orientation and Relationship Building Among Dyads in Complex Public Management Networks: Perspectives From State Asthma Coalitions

We explore strategic orientation as an approach to analyzing complexity in public management networks, asking how theoretically informed insights on relationship building fare when examined in the context of sector-, function- and policy arena–oriented dyads that form constituent elements of networks. Our survey of state asthma coalitions provides support for six facilitating factors regardless of strategic pairing, with surprisingly widespread support for differing ideas about how to address problems as a facilitative factor. The study also reveals several differences between dyads by strategic orientation, suggesting the approach offers a promising pathway to advancing analysis of complexity in networks.
Pluripotent stem cell‐based screening identifies CUDC‐907 as an effective compound for restoring the in vitro phenotype of Nakajo‐Nishimura syndrome

Nakajo‐Nishimura syndrome (NNS) is an autoinflammatory disorder caused by a homozygous mutations in the PSMB8 gene. The administration of systemic corticosteroids is partially effective, but continuous treatment causes severe side effects. We previously established a pluripotent stem cell (PSC)‐derived NNS disease model that reproduces several inflammatory phenotypes, including the overproduction of monocyte chemoattractant protein‐1 (MCP‐1) and interferon gamma‐induced protein‐10 (IP‐10). Here we performed high‐throughput compound screening (HTS) using this PSC‐derived NNS model to find potential therapeutic candidates and identified CUDC‐907 as an effective inhibitor of the release of MCP‐1 and IP‐10. Short‐term treatment of CUDC‐907 did not induce cell death within therapeutic concentrations and was also effective on primary patient cells. Further analysis indicated that the inhibitory effect was post‐transcriptional. These findings suggest that HTS with PSC‐derived disease models is useful for finding drug candidates for autoinflammatory diseases.
The drivers of omni-channel shopping intention: a case study for fashion retailing sector in Danang, Vietnam

PurposeThe purpose of this paper is to look into the mechanism in which customers involve themselves in omni-channel retail setting and use its advantages.Design/methodology/approachVia an empirical analysis through surveying customers, this paper assesses and confirms the drivers of omni-channel shopping intention within the context of fashion retailing sector in Danang.FindingsThe findings highlight the significance of customer perception of research shopping (including showrooming and webrooming) behaviours, compatibility and risk to their intention towards omni-channel shopping, implying profound understanding of designing effective omni-channel retailing strategy.Originality/valueFrom a theoretical perspective, comprehending customer perception of the omni-channel concept has emerged as an important theme in recent literature as well as in practitioners' reports. Hence, the meaningful contribution of this study is the involvement in the attractive steam of study. From a managerial perspective, this study could offer guidance to retailers or managers about developing a successful omni-channel strategy from a customer point of view.
Dual Coordination for Bilateral Teleoperation of a Mobile Robot with Time Varying Delay

This paper proposes a P+d like control scheme and calibration guidelines addressed to achieve stable dual coordination of force and motion in a bilateral teleoperation system of a mobile robot considering time-varying delays. Different from the state of the art, the proposed scheme achieves a dual coordination combining a relation of linear and nonlinear damping and force feedback gain depending on the human operator parameters and time delays. As a theoretical result, we get that the injected linear damping strongly depends on the time delay, the nonlinear damping compensates the Coriolis forces, while the convergence state depends on the human operator and environment force, but it is independent of the time delay. Finally, a robot teleoperation experiment is carried out to evaluate the performance of force and motion errors obtained in practice.
Monitoring of injury induced brain regeneration of the adult zebrafish by using optical coherence tomography

The adult zebrafish has pronounced regenerative capacity of the brain, which makes it an ideal model organism of vertebrate biology for the investigation of recovery of central nervous system injuries. The aim of this study was to employ spectral-domain optical coherence tomography (SD-OCT) system for long-term in vivo monitoring of tissue regeneration using an adult zebrafish model of brain injury. Based on a 1325 nm light source and two high-speed galvo mirrors, the SD-OCT system can offer a large field of view of the three-dimensional (3D) brain structures with high imaging resolution (12 μm axial and 13 μm lateral) at video rate. In vivo experiments based on this system were conducted to monitor the regeneration process of zebrafish brain after injury during a period of 43 days. To monitor and detect the process of tissue regeneration, we performed 3D in vivo imaging in a zebrafish model of adult brain injury during a period of 43 days. The coronal and sagittal views of the injured zebrafish brain at each time point (0 days, 10 days, 20 days and 43 days postlesion) were presented to show the changes of the brain lesion in detail. In addition, the 3D SD-OCT images for an injured zebrafish brain were also reconstructed at days 0 and days 43 post-lesion. We found that SD-OCT is able to effectively and noninvasively monitor the regeneration of the adult zebrafish brain after injury in real time with high 3D spatial resolution and good penetration depth. Our findings also suggested that the adult zebrafish has the extraordinary capability of brain regeneration and is able to repair itself after brain injury.
HIV transmission efficiency through contaminated injections in Roka, Cambodia

A nosocomial HIV outbreak recognized in late 2014 in Roka commune, Cambodia, demonstrates the potential for rapid transmission through skin-piercing healthcare procedures. Information reported from the investigation of the Roka commune outbreak is sufficient to estimate the transmission efficiency of HIV through contaminated injection equipment. With conservative assumptions, two estimates are 4.6% and 9.2%. These estimates are much greater than widely disseminated and influential low estimates of risk from unsafe injections, estimates which have encouraged low estimates of the contribution of unsafe healthcare to Africa’s generalized HIV epidemics. More information about nosocomial risks in Roka commune could improve the estimates in this paper and advise HIV prevention programs, particularly in countries with unreliably sterile healthcare and high HIV prevalence.
Chicory (Cichorium intybus L.) yield under water stress and estimation of leaf area using allometric relations

Leafy vegetables are mainly grown in small properties using empirical irrigation control and frequently applying excess water. Considering these aspects, this study aimed at (i) evaluating the chicory (Cichorium intybus L. cv. “Folha Larga”) production, grown in a greenhouse under different irrigation levels, proportional to the reference evapotranspiration (ET0) and (ii) adjusting models to estimate chicory leaf area from leaf linear measurements. For this, the chicory was grown in a 120 m greenhouse. A completely randomized experimental design was used, applying five irrigation treatments and nine repetitions per treatment. The irrigation treatments consisted of percentages of ET0, as follows: 45.6; 60.8; 76; 91.2 and 106.4% of ET0. Measurements of plant height, number of leaves, shoot fresh and dry mass and leaf area were taken. Measurements of 605 leaves were used to adjust ten initial models, from which four models were selected based on statistical coefficients. These models were then submitted to statistical analysis to obtain models which residuals present tendency to normality and homoscedasticity. Measures of 250 new leaves were used to apply the Bland-Altman graphical method. The results show that the increase in one percent of ET0 applied by irrigation increased the plants height in 0.148 cm, and 0.263 and 0.0158 g in the shoots’ fresh and dry mass (respectively) and decrease in 0.306 cm of the leaf area. Bland-Altman method revealed that the models estimated correlated but non-concordant data, pointing out to the need of adding the biases’ value of each model to the estimated values.
A review of anaerobic membrane bioreactors for municipal wastewater treatment with a focus on multicomponent biogas and membrane fouling control

Among the various anaerobic digestion technologies developed for wastewater treatment and resource recovery, the anaerobic membrane bioreactor (AnMBR) stands out as a viable alternative to traditional processes. However, the practical use of the AnMBR to treat a huge amount of low to moderate strength wastewater, like municipal wastewater (MWW), at ambient temperature, remains a challenge due to the membrane fouling issue and a low bioenergy recovery efficiency. In this review, the basics of the AnMBR process regarding membrane and bioreactor configurations are introduced. Then, the performance of the AnMBR with regard to pollutant removal and biogas production is discussed with special emphasis on analyzing the origin and fate of multicomponent biogas in the liquid–gaseous phases based on theoretical predictions and reported experimental results. A review of the studies on the mechanisms of membrane fouling is included together with an overview of the commonly used fouling control measures to support long-term sustainable AnMBR operation. Lastly, the technical challenges in enhancing AnMBR development from a number of different perspectives are pointed out. Applying AnMBR for the treatment of low-strength wastewater should be further optimized to enhance the techno-economic feasibility for full-scale operation, and more research attention should be given to the redirection of organics and nutrients to achieve a more economical process with improved environmental benefits.
Why Should I Trust This Item? Explaining the Recommendations of any Model

Explainable AI has received a lot of attention over the past decade, with the proposal of many methods explaining black box classifiers such as neural networks. Despite the ubiquity of recommender systems in the digital world, only few researchers have attempted to explain their functioning, whereas it raises e.g., ethical issues. Indeed, recommender systems direct user choices to a large extent and their impact is important as they give access to only a small part of the range of items (e.g., products and/or services), as the submerged part of the iceberg. Consequently, they limit access to other resources. The potentially negative effects of these systems have been pointed out as phenomena like echo chambers and winner-take-all effects, because the internal logic of these systems is to likely enclose the consumer in a "dej´ a vu" loop. Therefore, it is crucial to provide explanations` of such recommender systems and to identify the user data that led the system to make a specific recommendation. This makes it possible to evaluate recommender systems not only regarding their efficiency (i.e., their capability to recommend an item that was actually chosen by the user), but also w.r. t. the diversity, relevance and timeliness of the active data used to make the recommendation. In this paper, we propose a deep analysis of 7 state-of-the-art models learnt on 6 datasets based on the identification of the items or the sequences of items actively used by the models. The proposed method, which is based on subgroup discovery with different pattern languages (i.e., itemsets and sequences), provides interpretable explanations of the recommendations – useful to compare different models and explain the reasons behind the recommendation to the user.
S100A4, a key factor in glioblastoma biology

Glioblastoma (GBM) is the highest grade of glioma and the most common malignant primary brain tumor in adults. The present World Health Organization classification distinguishes IDH-wildtype and IDH-mutant GBMs, which correspond closely to so-called primary ( de novo ) and secondary GBMs, respectively (1). While being considered as a single histological entity, primary GBM is heterogeneous with considerable variability in terms of biological behavior, response to treatment and clinical outcome.