Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental cross species transmission of a major viral pathogen in bees is predominantly from honeybees to bumblebees

Cross-species transmission of a pathogen from a reservoir to a recipient host species, spillover, can have major impacts on biodiversity, domestic species and human health. Deformed wing virus (DWV) is a panzootic RNA virus in honeybees that is causal in their elevated colony losses, and several correlative field studies have suggested spillover of DWV from managed honeybees to wild bee species such as bumblebees. Yet unequivocal demonstration of DWV spillover is lacking, while spillback, the transmission of DWV from a recipient back to the reservoir host, is rarely considered. Here, we show in fully crossed laboratory experiments that the transmission of DWV (genotype A) from honeybees to bumblebees occurs readily, yet we neither detected viral transmission from bumblebees to honeybees nor onward transmission from experimentally infected to uninoculated bumblebees. Our results support the potential for viral spillover from honeybees to other bee species in the field when robbing resources from heterospecific nests or when visiting the same flowers. They also underscore the importance of studies on the virulence of DWV in wild bee species so as to evaluate viral impact on individual and population fitness as well as viral adaption to new host species.
Habitat isolation reduces intra- and interspecific biodiversity and stability

Fragmentation is predicted to reduce biodiversity and stability by increasing habitat isolation and impeding dispersal among patches. These effects may manifest at both the interspecific and intraspecific levels, yet few studies have simultaneously explored dispersal effects across levels of organization. We used field mesocosm experiments to examine how habitat isolation (in the form of dispersal rate) alters inter- and intraspecific stability and diversity in local zooplankton communities. We observed effects of increasing dispersal rate at both the intra- and interspecific levels. Increasing dispersal increased local species diversity and reduced mean temporal variability of populations. At the intraspecific level, Daphnia pulex clonal diversity was enhanced by dispersal and mean temporal variability of clone abundances through time was reduced.
Sensitive periods, but not critical periods, evolve in a fluctuating environment: a model of incremental development

Sensitive periods, during which the impact of experience on phenotype is larger than in other periods, exist in all classes of organisms, yet little is known about their evolution. Recent mathematical modelling has explored the conditions in which natural selection favours sensitive periods. These models have assumed that the environment is stable across ontogeny or that organisms can develop phenotypes instantaneously at any age. Neither assumption generally holds. Here, we present a model in which organisms gradually tailor their phenotypes to an environment that fluctuates across ontogeny, while receiving cost-free, imperfect cues to the current environmental state. We vary the rate of environmental change, the reliability of cues and the duration of adulthood relative to ontogeny. We use stochastic dynamic programming to compute optimal policies. From these policies, we simulate levels of plasticity across ontogeny and obtain mature phenotypes. Our results show that sensitive periods can occur at the onset, midway through and even towards the end of ontogeny. In contrast with models assuming stable environments, organisms always retain residual plasticity late in ontogeny. We conclude that critical periods, after which plasticity is zero, are unlikely to be favoured in environments that fluctuate across ontogeny.
Aquatic Phlorotannins and Human Health: Bioavailability, Toxicity, and Future Prospects

Medicinal chemists and pharmacognosists have relied on terrestrial sources for bioactive phytochemicals to manage and treat disease conditions. However, minimal interest is given to sea life, especially macroalgae and their inherent phytochemical reserves. Phlorotannins are a special class of phytochemicals mainly predominant in brown algae of marine and estuarine habitats. Phlorotannins are formed through the polymerization of phloroglucinol residues and derivatives via the polyketide (acetate–malonate) pathway. Studies over the past decades have implicated phlorotannins with several bioactivities, including anti-herbivory, antioxidants, anti-inflammatory, anti-microbial, anti-proliferative, anti-diabetic, radio-protective, adipogenic, anti-allergic, and anti-human immunodeficiency virus (anti-HIV) properties. All these activities are reflected in their applications as nutraceuticals and cosmeceutical agents. This article reviews the chemical composition of phlorotannins, their biological roles, and their applications. Moreover, very few studies on phlorotannin bioavailability, safety, and toxicity have been thoroughly reviewed. The paper concludes by suggesting exciting research questions for further studies.
Virucidal Activity of Essential Oils From Citrus x aurantium L. Against Influenza A Virus H1N1: Limonene as a Potential Household Disinfectant Against Virus

This work explored the compositions of a crude extract of peels of Citrus x aurantium using a gas chromatography-mass spectrometry (GC-MS) technique. The crude extract of peels of C. × aurantium was analyzed by GC-MS revealing the presence of limonene as the major compound, accounting for 93.7% of the total. Virucidal activity of the oil of C. x aurantium peels against influenza A virus H1N1 was evaluated by the ASTM E1053-20 method. Moreover, the virucidal activity was also investigated of D-limonene, the major terpene in essential oils of C. x aurantium, and its enantiomer L-limonene. The essential oil of the C. x aurantium peels produced a log reduction of 1.9 to 2.0, accounting for 99% reduction of the virus, while D- and L-limonene exhibited virucidal activity with a log reduction of 3.70 to 4.32 at concentrations of 125 and 250.0 µg/mL, thus reducing the virus by 99.99%. Previous work found that D-limonene exhibited antiviral activity against herpes simplex virus, but L-limonene, an enantiomer of D-limonene, has never been reported for antiviral activity. This work demonstrates the antiviral activity of L-limonene for the first time. Moreover, this work suggests that concentrations of 0.0125% to 0.025% of either D- or L-limonene can possibly be used as a disinfectant against viruses, probably in the form of essential oil sprays, which may be useful disinfectants against the airborne transmission of viruses, such as influenza and COVID-19.
Dihydrobenzofurans and Propynylthiophenes From the Roots of Eupatorium heterophyllum

Seven new dihydrobenzofurans and 2 new propynyl thiophenes were isolated from the roots of Eupatorium heterophyllum together with 13 known compounds. The compounds were characterized using spectroscopic methods including 2D NMR, infrared, and mass spectrometric techniques. Aerial parts of this plant have been known to contain various sesquiterpenoids and displayed high chemical diversity (several compounds isolated and/or identified) among their chemical constituents depending on the collection site. Nevertheless, we found that the chemical diversity in the roots was lower than in the aerial parts.
Selection of the Most Effective Trichogramma Strains (Hymenoptera: Trichogrammatidae) From Myanmar to Control Asian Corn Borer, Ostrinia furnacalis (Lepidoptera: Crambidae)

Abstract Selecting the candidate agents or species is a fundamental step in developing effective biological control programs. However, no attempts have been made to evaluate the efficacy of Trichogramma Westwood (Hymenoptera: Trichogrammatidae) strains against the Asian corn borer, Ostrinia furnacalis Guenée (Lepidoptera: Crambidae) in Myanmar. In this study, Trichogramma strains were investigated through a series of glass tube bioassays and under a semifield condition. Ostrinia furnacalis or Corcyra cephalonica egg preferences were compared among six strains of Trichogramma ostriniae, three of Trichogramma chilonis, and four of Trichogramma dendrolimi using a choice-test assay design. Significant differences were observed at the inter- and intraspecific levels. Four strains of T. ostriniae and two of T. dendrolimi showed a strong preference for O. furnacalis eggs, while two strains of T. chilonis and one T. dendrolimi strain preferred Corcyra cephalonica Stainton (Lepidoptera: Pyralidae) eggs. The remaining strains showed no preference. Eleven strains were examined on O. furnacalis eggs only, wherein parasitism, sex ratio, and total progeny per female were highest for two strains of T. ostriniae (respectively: 67.6 ± 3.0%, 82.7 ± 2.3%, 49.6 ± 2.8, and 67.6 ± 3.6%, 90.0 ± 2.4%, 42.7 ± 2.6), and one strain of T. dendrolimi (65.2 ± 3.2%, 84.7 ± 2.6%, 46.3 ± 2.8). Parasitism and searching capacity were evaluated for the three, best performing strains in cages containing maize plants. One T. ostriniae from Southern Shan State, Myanmar parasitized ∼81% of egg masses, and should be considered a candidate biological control agent against O. furnacalis in Myanmar. Graphical Abstract
MCH-Based Semiochemical Repellents for Protecting Engelmann Spruce Trees From Dendroctonus rufipennis (Coleoptera: Curculionidae)

Abstract Spruce beetle, Dendroctonus rufipennis Kirby (Coleoptera: Curculionidae), is a lethal pest of spruce trees in North America. Despite decades of research, a semiochemical repellent that consistently and effectively protects spruce trees remains elusive. We evaluated the efficacy of 3-methyl-2-cyclohexen-1-one (MCH) in a proprietary, volatile compound release technology (SPLAT) alone and with two adjuvants, Acer kairomone blend (AKB) and acetophenone + green leaf volatiles (PLUS) to protect individually treated Picea engelmannii Parry ex. Engelm. (Pinales: Pinaceae), and Pi. engelmannii within 11.3-m radius of the individually treated trees from colonization and mortality attributed to D. rufipennis in western Wyoming. Ninety-one Pi. engelmannii were baited with frontalin and randomly assigned to one of seven treatments (n = 13): 3.5 g of MCH applied as SPLAT MCH (SPLAT3.5), 3.5AKB, 3.5PLUS, 7 g of MCH applied as SPLAT MCH (SPLAT7), 7AKB, 7PLUS, and baited control (bait only). All repellents except SPLAT3.5 and SPLAT7 significantly reduced colonization of individually treated Pi. engelmannii compared to the baited control. 3.5PLUS, 7AKB, and 7PLUS reduced colonization most effectively, and all repellents significantly reduced mortality of individually treated Pi. engelmannii compared to the baited control. All repellents also significantly reduced colonization and mortality of neighboring Pi. engelmannii.
Shame and Punishment: The Case of Angie

ABSTRACT The case of Angie is a story of a clash of cultures. A painful confrontation between Angie and me forced me to confront some of my own culture-bound assumptions, including some culture-bound psychoanalytic assumptions that I had previously taken for granted. For example, I had thoughtlessly assumed that coming to access one’s feelings and learning to articulate them would naturally lead to self-assertive action on one’s own behalf. Such self-assertive behavior tends to look like “taking care of myself,” often in opposition to someone else’s needs. Now, I have come to believe that this is a bias in psychanalytic culture that deserves deconstruction and examination. My confrontation with Angie caused me to recognize that owning one’s feelings allows for a wide range of behavioral choices. Generosity and self-sacrifice are among these choices; that is, self-sacrifice may be a healthy choice and not necessarily an aberrant behavior.
How Students Are Using GitHub? A Survey

Recently, computer science educators have started adopting GitHub in teaching software engineering (SE) and other programming-related courses to impart the teamwork and collaboration aspects to the students when working on team projects. The educators aim to leverage the technical and social features of GitHub to deliver the course material effectively and to promote students’ collaboration, and monitor student activity on team projects. A few works have highlighted the benefits of using GitHub in student projects. However, the students’ perspective of adopting GitHub and using it for the SE and related courses is widely missing. To shed more light on this, the presented work investigates the students’ viewpoints of using GitHub and its adoption in classroom courses and further reports the benefits and drawbacks. We surveyed a total of 315 students, including undergraduate, postgraduate, and PhD students of computer science stream. The research method includes a survey and a qualitative analysis of students’ behaviour in the course. The analysis and findings reported in this paper provide several valuable insights on how students perceive and utilize the GitHub tool. Inherently, GitHub is not an educational tool. However, the findings reported in this work can be used to improve software engineering and computer science education, and also be helpful for instructors on how to use GitHub more effectively in their courses.
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic

Unsupervised opinion summarization techniques are designed to condense the review data and summarize informative and salient opinions in the absence of golden references. Existing dominant methods generally follow a two-stage framework: first creating the synthetic "review-summary" paired datasets and then feeding them into the generative summary model for supervised training. However, these methods mainly focus on semantic similarity in synthetic dataset creation, ignoring the consistency of aspects and sentiments in synthetic pairs. Such inconsistency also brings a gap to the training and inference of the summarization model. To alleviate this problem, we propose ConsistSum, an unsupervised opinion summarization method devoting to capture the consistency of aspects and sentiment between reviews and summaries. Specifically, ConsistSum first extracts the preliminary "review-summary" pairs from the raw corpus by evaluating the distance of aspect distribution and sentiment distribution. Then, we refine the preliminary summary with the constrained Metropolis-Hastings sampling to produce highly consistent synthetic datasets. In the summarization phase, we adopt the generative model T5 as the summarization model. T5 is fine-tuned for the opinion summarization task by incorporating the loss of predicting aspect and opinion distribution. Experimental results on two benchmark datasets, $i.e.$, Yelp and Amazon, demonstrate the superior performance of ConsistSum over the state-of-the-art baselines.
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?

There has been sustained interest from both academia and industry throughout the years due to the importance and practicability of recommendation systems. However, several recent papers have pointed out critical issues with the evaluation process in recommender systems. Likewise, this paper takes an in-depth look at a fundamental but often neglected aspect of the evaluation procedure, i.e. the datasets themselves. To do so, we adopt a systematic and comprehensive approach to understand the datasets used for implicit feedback based top-K recommendation. We start by examining recent papers from top-tier conferences to find out how different datasets have been utilised thus far. Next, we look at the characteristics of these datasets to understand their similarities and differences. Finally, we conduct an empirical study to determine whether the choice of datasets used for evaluation can influence the observations and/or conclusions obtained. Our findings suggest that greater attention needs to be paid to the selection process of datasets used for evaluating recommender systems in order to improve the robustness of the obtained results.
ESC-GAN: Extending Spatial Coverage of Physical Sensors

Scientific discoveries and studies about our physical world have long benefited from large-scale and planetary sensing, from weather forecasting to wildfire monitoring. However, the limited deployment of sensors in the environment due to cost or physical access constraints has lagged behind our ever-growing need for increased data coverage and higher resolution, impeding timely and precise monitoring and understanding of the environment. Therefore, we seek to extend the spatial coverage of analysis based on existing sensory data, that is, to "generate" data for locations where no historical data exists. This problem is fundamentally different and more challenging than the traditional spatio-temporal imputation that assumes data for any particular location are only partially missing across time. Inspired by the success of Generative Adversarial Network (GAN) in imputation, we propose a novel ESC-GAN. We observe that there are local patterns in nearby locations, as well as trends in a global manner (e.g., temperature drops as altitude increases regardless of the location). As local patterns may exhibit at different scales (from meters to kilometers), we employ a multi-branch generator to aggregate information of different granularity. More specifically, each branch in the generator contains 1) randomly masked 3D partial convolutions at different resolutions to capture the local patterns and 2) global attention modules for global similarity. Next, we adversarially train a 3D convolution-based discriminator to distinguish the generator's output from the ground truth. Extensive experiments on three geo-sensor datasets demonstrate that ESC-GAN outperforms state-of-the-art methods on extending spatial coverage and also achieves the best results on a traditional spatio-temporal imputation task.
Advances in laboratory detection methods and technology application of SARS‐CoV‐2

At present, severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is raging worldwide, and the coronavirus disease 2019 outbreak caused by SARS‐CoV‐2 seriously threatens the life and health of all humankind. There is no specific medicine for novel coronavirus yet. So, laboratory diagnoses of novel coronavirus as soon as possible and isolation of the source of infection play a vital role in preventing and controlling the epidemic. Therefore, selecting appropriate detection techniques and methods is particularly important to improve the efficiency of disease diagnosis and treatment and to curb the outbreak of infectious diseases. In this paper, virus nucleic acid, protein, and serum immunology were reviewed to provide a reference for further developing virus detection technology to provide better prevention and treatment strategies and research ideas for clinicians and researchers.
The zinc finger transcription factor Sall1 is required for the early developmental transition of microglia in mouse embryos

Microglia play many critical roles in neural development. Recent single-cell RNA-sequencing studies have found diversity of microglia both across different stages and within the same stage in the developing brain. However, how such diversity is controlled during development is poorly understood. In this study, we first found the expression of the macrophage mannose receptor CD206 in early-stage embryonic microglia on mouse brain sections. This expression showed a sharp decline between E12.5 and E13.5 across the central nervous system. We next tested the roles of the microglia-expressed zinc finger transcription factor SALL1 in this early transition of gene expression. By deleting Sall1 specifically in microglia, we found that many microglia continued to express CD206 when it is normally downregulated. In addition, the mutant microglia continued to show less ramified morphology in comparison with controls even into postnatal stages. Thus, SALL1 is required for early microglia to transition into a more mature status during development.
Why FIT and bHLH Ib interdependently regulate Fe-uptake

FIT (FER-LIKE IRON DEFICIENCY- INDUCED TRANSCRIPTION FACTOR) and four bHLH Ib transcription factors (TFs) bHLH38, bHLH39, bHLH100 and bHLH101, are the master regulators of Fe uptake genes, and they interact with each other to activate the Fe uptake systems. However, it remains unclear why FIT and bHLH Ib depend on each other to regulate the Fe deficiency response. By analyzing Fe deficiency phenotypes and Fe uptake genes, we found that the quadruple bhlh4x mutants (bhlh38 bhlh39 bhlh100 bhlh101) mimic the fit mutant. Subcellular localization analyses indicate that bHLH38 and bHLH39 are preferentially expressed in the cytoplasm whereas bHLH100 and bHLH101 in the nucleus. Transcriptome data show that the genes involved in Fe signaling pathway show the same expression trends in bhlh4x and fit. Genetic analyses suggest that FIT and bHLH Ib depend each other to regulate the Fe deficiency response. Further biochemical assays indicate that bHLH Ib TFs possess the DNA binding ability and FIT has the transcription activation ability. This work concludes that FIT and bHLH Ib form a functional transcription complex in which bHLH Ib is responsible for target recognition and FIT for transcription activation, explaining why FIT and bHLH Ib interdependently regulate Fe uptake.
Shisa7-Dependent Regulation of GABAA Receptor Single-Channel Gating Kinetics

GABAA receptors (GABAARs) mediate the majority of fast inhibitory transmission throughout the brain. Although it is widely known that pore-forming subunits critically determine receptor function, it is unclear whether their single-channel properties are modulated by GABAAR-associated transmembrane proteins. We previously identified Shisa7 as a GABAAR auxiliary subunit that modulates the trafficking, pharmacology, and deactivation properties of these receptors. However, whether Shisa7 also regulates GABAAR single-channel properties has yet to be determined. Here, we performed single-channel recordings of α2β3γ2L GABAARs cotransfected with Shisa7 in HEK293T cells and found that while Shisa7 does not change channel slope conductance, it reduced the frequency of receptor openings. Importantly, Shisa7 modulates GABAAR gating by decreasing the duration and open probability within bursts. Through kinetic analysis of individual dwell time components, activation modeling, and macroscopic simulations, we demonstrate that Shisa7 accelerates GABAAR deactivation by governing the time spent between close and open states during gating. Together, our data provide a mechanistic basis for how Shisa7 controls GABAAR gating and reveal for the first time that GABAAR single-channel properties can be modulated by an auxiliary subunit. These findings shed light on processes that shape the temporal dynamics of GABAergic transmission. SIGNIFICANCE STATEMENT Although GABAA receptor (GABAAR) single-channel properties are largely determined by pore-forming subunits, it remains unknown whether they are also controlled by GABAAR-associated transmembrane proteins. Here, we show that Shisa7, a recently identified GABAAR auxiliary subunit, modulates GABAAR activation by altering single-channel burst kinetics. These results reveal that Shisa7 primarily decreases the duration and open probability of receptor burst activity during gating, leading to accelerated GABAAR deactivation. These experiments are the first to assess the gating properties of GABAARs in the presence of an auxiliary subunit and provides a kinetic basis for how Shisa7 modifies temporal attributes of GABAergic transmission at the single-channel level.