Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of a novel, low-cost, scalable vaporized hydrogen peroxide system for sterilization of N95 respirators and other COVID-19 related personal protective equipment.

Due to the virulence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the pathogen responsible for the respiratory disease termed COVID-19, there has been a significant increase in demand for surgical masks and N95 respirators in medical clinics as well as within communities operating during the COVID-19 epidemic. Thus, community members, business owners, and even medical personnel have resorted to alternative methods for sterilizing face coverings and N95 respirators for reuse. While significant work has shown that vaporized hydrogen peroxide (VHP) can be used to sterilize N95 respirators, the cost and installation time for these sterilization systems limit their accessibility. To this end, we have designed and constructed a novel, cost-effective, and scalable VHP system that can be used to sterilize N95 respirators and other face coverings for clinical and community applications. N95 respirators inoculated with P22 bacteriophage showed a greater than 6-log10 reduction in viral load when sterilized in the VHP system for one 60-minute cycle. Further, N95 respirators treated with 20 cycles in this VHP system showed comparable filtration efficiency to untreated N95 respirators in a 50 to 200 nanometer particulate challenge filtration test. While a 23% average increase in water droplet roll-off time was observed for N95 respirators treated with 5 cycles in the sterilization, no breakdown in fluid resistance was detected. These data suggest that our VHP system is effective in sterilizing N95 respirators and other polypropylene masks for reuse. Relating to the present epidemic, deployment of this system reduces the risk of COVID-19 community transmission while conserving monetary resources otherwise spent on the continuous purchase of disposable N95 respirators and other face coverings. In summary, this novel, scientifically validated sterilization system can be easily built at a low cost and implemented in a wide range of settings.
New Distribution Record of Pogonomyrmex humerotumidus 1 Associated with Human Activities at Guerrero, Mexico

For the first time, Pogonomyrmex humerotumidus Vásquez-Bolaños & Mackay 2004 was reported in the Mexican state of Guerrero, previously known only from a few localities of Michoacan and Jalisco states (Vásquez-Bolaños et al 2014). This report is the first in a zone of tropical dry forest with anthropogenic perturbation. Twenty species are in the genus Pogonomyrmex in Mexico: P. apache, P. barbatus, P. bicolor, P. californicus, P. desertorum, P. guatemaltecus, P. huachucanus, P. humerotumidus, P. imberbiculus, P. laevinodis, P. magnacanthus, P. maricopa, P. montanus, P.occidentalis, P. pima, P. rugosus, P. snellingi, P. subnitidus, P. tenuispinus, and P. wheeleri (Dáttilo et al. 2019, AntWeb 2020). Pogonomyrmex humerotumidus is distinguished from all other species by the angulate process of the pronotum, unarmed propodeum, and ornamented petiolar node (Vásquez-Bolaños and Mackay, 2004, Fig. 1).
A NEW SPECIES OF GLASS FROG (CENTROLENIDAE: COCHRANELLA OCELLATA GROUP) FROM CENTRAL PERU

We describe a new species of Cochranella from the Cordillera de Carpish, Departamento Huánuco, Peru. The new species is placed in the Cochranella ocellata group and can be distinguished from all other species of Cochranella by having: (1) small white and dark purple spots on the dorsum; (2) a snout slightly protruding to truncate in lateral aspect; (3) and basal webbing between Fingers III and IV.
Phylogenomics and phylodynamics of SARS-CoV-2 retrieved genomes from India

The ongoing SARS-CoV-2 pandemic is one of the biggest outbreaks after the Spanish flu of 1918. Understanding the epidemiology of viral outbreaks is the first step towards vaccine development programs. This is the first phylodynamics study attempted on of SARS-CoV-2 genomes from India to infer its current evolution in the context of an ongoing pandemic. Out of 286 retrieved SARS-CoV-2 whole genomes from India, 138 haplotypes were generated and analyzed. Median-joining network was built to investigate the relatedness of SARS-CoV-2 haplotypes in India. The BDSIR package of BEAST2 was used to calculate the reproduction number (R0) and the infectious rate of the virus. Past and current population trend was investigated using the stamp date method in coalescent Bayesian skyline plot, implemented in BEAST2 and by exponential growth prior in BEAST 1.10. 4. Median-joining network reveals two distinct ancestral clusters A and B showing genetic affinities with Wuhan outbreak sample. The network also illustrates the autochthonous development of isolates in a few instances. High basic reproduction number of SARS-nCoV-2 in India points towards the phase of active community transmission. The Bayesian skyline plot revel exponential rise in the effective population size (Ne) of Indian isolates from the first week of January to the first week of April 2020. More genome sequencing and analyses of the virus will be required in coming days to monitor COVID19 after the upliftment of lock down in India.
Characteristics and Influencing Factors of Real-Life Violence Exposure Among Chinese College Students

This study aimed to explore the characteristics and influencing factors of violence exposure in real life among Chinese college students. A sample of 375 college students was randomly selected to complete three questionnaires. The results indicated that participants had higher scores as victims and witnesses on violence exposure in community than they did in family. Male students had higher scores than females in both family and community violence exposure. Subjects with lower father’s education level scored significantly higher than others in family violence exposure by victimization and community violence exposure by witnessing and victimization. Participants growing up in rural areas had significantly higher scores than others in family violence exposure by victimization and community violence exposure by witnessing. Finally, those subjects with siblings reported higher scores than those from only child families in family violence exposure by witnessing. Multiple regression analysis showed that deviant behaviors of peers, gender, and single-child status were significant influencing factors of respondent violence exposure. More efforts should be taken to effectively cope with existing violence exposure in college students and minimize the potential of future exposure.
A Literature Review of the Potential Diagnostic Biomarkers of Head and Neck Neoplasms

Head and neck neoplasms have a poor prognosis because of their late diagnosis. Finding a biomarker to detect these tumors in an early phase could improve the prognosis and survival rate. This literature review provides an overview of biomarkers, covering the different -omics fields to diagnose head and neck neoplasms in the early phase. To date, not a single biomarker, nor a panel of biomarkers for the detection of head and neck tumors has been detected with clinical applicability. Limitations for the clinical implementation of the investigated biomarkers are mainly the heterogeneity of the study groups (e.g., small population in which the biomarker was tested, and/or only including high-risk populations) and a low sensitivity and/or specificity of the biomarkers under study. Further research on biomarkers to diagnose head and neck neoplasms in an early stage, is therefore needed.
The Role of TRPV4 in Regulating Innate Immune Cell Function in Lung Inflammation

Ion channels/pumps are essential regulators of innate immune cell function. Macrophages have been increasingly recognized to have phenotypic plasticity and location-specific functions in the lung. Transient receptor potential vanilloid 4 (TRPV4) function in lung injury has been shown to be stimulus- and cell-type specific. In the current review, we discuss the importance of TRPV4 in macrophages and its role in phagocytosis and cytokine secretion in acute lung injury/acute respiratory distress syndrome (ARDS). Furthermore, TRPV4 controls a MAPK molecular switch from predominately c-Jun N-terminal kinase, JNK activation, to that of p38 activation, that mediates phagocytosis and cytokine secretion in a matrix stiffness-dependent manner. Expanding knowledge regarding the downstream mechanisms by which TRPV4 acts to tailor macrophage function in pulmonary inflammatory diseases will allow for formulation of novel therapeutics.
Wake Up, Work on Dreams, Back to Bed and Lucid Dream: A Sleep Laboratory Study

Lucid dreaming offers many opportunities to study consciousness processes. However, laboratory research in this area is limited because frequent lucid dreamers are rare. Several studies demonstrated that different methods of induction could increase the number of lucid dreams. In four field studies, a combination of a wake-up-back-to-bed (WBTB) sleep protocol and a mnemonic technique (MILD) showed promising results. To further investigate the effectiveness of this combined approach, we conducted a sleep laboratory experiment with four different conditions. The general experimental procedure was the following: Participants were awakened after 6 h of sleep from a subsequent REM period and kept awake for 30 or 60 min, during which they were asked to practice MILD or a control task (e.g., reading). Then they returned to bed for a morning sleep period. In the first condition eleven sport students, who attended a seminar on sleep and dreams, spent one night in a sleep laboratory. To avoid biases due to the seminar attendance (e.g., higher motivation), in the second condition 15 participants who did not attend the seminar were recruited. In the third condition, 14 sport students were tested with a shorter awakening period (30 min). Finally, the fourth condition served as a control condition, whereas eleven sport students slept two non-consecutive nights in a laboratory. Instead of MILD, in one night the participants read a book (fiction, unrelated to dreams), while in the other night they played a Nintendo Wii video game. In the first three conditions, six (54%), eight (53%), and five participants (36%) reported lucid dreams during the morning sleep period, whereas three, (27%), four (27%), and two participants (14%) produced PSG-verified eye signals. In contrast, in the reading condition, only one (9%) participant reported lucid dreams and no eye movements. No lucid dreams were observed in the Wii condition. The findings of the present study show that by using a combination of WBTB and MILD, lucid dreams can be effectively induced in people who are not selected for their lucid dream abilities.
Fine structure of tannin accumulations in callus cultures of Pinus elliotti (slash pine)

Tannin accumulations in tissue culture cells of slash pine occurred in the smooth endoplasmic reticulum, in vesicles, and within cell vacuoles. Dense osmiophilic granules were observed also throughout the cytoplasm of many cells. Vacuolar deposits appeared as homogeneous spherules or as a froth-like material. Generalized degeneration of the cytoplasm and the organelles was observed in many of the cells synthesizing tannins. Accumulation of the tannin within the cell vacuoles did not necessarily result in cell degradation. Synthesis and deposition of tannin in slash pine cells closely resembles synthesis and storage of aromatic products in mammalian tissues.
Homeostatic Plasticity in Epilepsy

In the healthy brain, neuronal excitability and synaptic strength are homeostatically regulated to keep neuronal network activity within physiological boundaries. Epilepsy is characterized by episodes of highly synchronized firing across in widespread neuronal populations, due to a failure in regulation of network activity. Here we consider epilepsy as a failure of homeostatic plasticity or as a maladaptive response to perturbations in the activity. How homeostatic compensation is involved in epileptogenic processes or in the chronic phase of epilepsy, is still debated. Although several theories have been proposed, there is relatively little experimental evidence to evaluate them. In this perspective, we will discuss recent results that shed light on the potential role of homeostatic plasticity in epilepsy. First, we will present some recent insights on how homeostatic compensations are probably active before and during epileptogenesis and how their actions are temporally regulated and closely dependent on the progression of pathology. Then, we will consider the dual role of transcriptional regulation during epileptogenesis, and finally, we will underline the importance of homeostatic plasticity in the context of therapeutic interventions for epilepsy. While classic pharmacological interventions may be counteracted by the epileptic brain to maintain its potentially dysfunctional set point, novel therapeutic approaches may provide the neuronal network with the tools necessary to restore its physiological balance.
The Rio Branco Declaration: Assessing Progress Toward a Near-Term Voluntary Deforestation Reduction Target in Subnational Jurisdictions Across the Tropics

Voluntary commitments are playing an ever-greater role in environmental governance at all scales. In the years preceding the signing of the Paris Agreement in 2015, a flurry of non-state and state actors signed on to various declarations and commitments to reduce deforestation as one globally significant climate mitigation solution. This paper focuses on the Rio Branco Declaration (RBD) and the 30 first-order subnational jurisdictions located in Brazil, Indonesia, Mexico, and Peru that signed it between 2014 and 2018, committing to reduce deforestation 80% by 2020, conditional upon adequate support from the international community. We assess each study jurisdiction’s progress toward that commitment in terms of reducing deforestation, and examine a subset of the potential factors supporting or slowing progress, including the existence of commensurate targets within jurisdictions’ legal frameworks and the international financial support pledged to jurisdictions. We found that progress toward achieving the target was slow and likely unattainable in most jurisdictions outside of Brazil. Among the four jurisdictions likely to achieve the target under current deforestation trajectories, only Mato Grosso State has a target within its legal framework that is more ambitious than the RBD target. We found that the international response to the RBD was sluggish and likely inadequate – with only one financial pledge made in direct response to the declaration and the majority of funding to support jurisdictional efforts coming from one source. We did not find a clear relationship between international finance pledged and progress toward the RBD deforestation target; however, more often, jurisdictions that received pledges earlier have made more progress. We explore what may explain individual jurisdictions’ performance with respect to the target, including specific jurisdictional circumstances, national context, and international support. We estimate that, if current deforestation trajectories continue, the RBD signatories in our study could contribute approximately 3.7% (0.65 GtCO2e) of the greenhouse gas emissions reduction needed to keep global warming at 1.5°C, compared with a potential 5.7% (0.98 GtCO2e) if they were to all meet the RBD target.
Multivariate Analysis Models Based on Full Spectra Range and Effective Wavelengths Using Different Transformation Techniques for Rapid Estimation of Leaf Nitrogen Concentration in Winter Wheat

To develop a stable estimation model and identify effective wavelengths that could explain the variations in leaf nitrogen (N) concentration with different N supplies, growing seasons, ecological locations, growth stages, and wheat cultivars. Four field experiments were performed during two consecutive years (2017–2019) at three sites (Yuanyang, Hebi, and Wenxian) in Henan, China. In situ canopy spectral reflectance data under the aforementioned N supply conditions were obtained over a range of 400–950 nm (visible and near-infrared region). On the basis of the canopy raw spectral reflectance data and their subsequent transformation by two different techniques, first-derivative reflectance (FDR) and continuum removal (CR), four multivariate regression methods were comparatively analyzed and used to develop predictive models for estimating leaf N concentration: multiple linear regression (MLR), principal component regression (PCR), partial least square (PLS), and support vector machine (SVM). Results showed that leaf N concentration and canopy reflectance significantly varied with the levels of N fertilization, and a good correlation was observed for all the spectral techniques. Seven wavelengths with relatively higher r values than the bands of the raw spectra centered at 508, 525, 572, 709, 780, 876, and 925 nm were specified using the FDR technique. Based on the full wavelengths, the FDR-SVM model exhibited a good performance for leaf N concentration estimation, with coefficients of determination (r2val) for the validation datasets and corresponding relative percent deviations (RPDval) values of 0.842 and 2.383, respectively. However, the FDR-PLS yielded a more accurate assessment of the leaf N concentration than did the other methods, with r2val and RPDval values of 0.857 and 2.535, respectively. The variable importance in projection (VIP) scores from the FDR-PLS with the all canopy spectral region were used to screen the effective wavelengths of the spectral data. Therefore, six effective wavelengths centered at 525, 573, 710, 780, 875, and 924 nm were identified for leaf N concentration estimation. The SVM regression method with the effective wavelengths showed excellent performance for leaf N concentration estimation with r2val = 0.823 and RPDval = 2.280. These results demonstrated that the in situ canopy spectral technique is promising for the estimation of leaf N concentration in winter wheat based on the FDR-PLS regression model and the effective wavelengths identified.
Energy Expenditure of Dynamic Submaximal Human Plantarflexion Movements: Model Prediction and Validation by in-vivo Magnetic Resonance Spectroscopy

To understand the organization and efficiency of biological movement, it is important to evaluate the energy requirements on the level of individual muscles. To this end, predicting energy expenditure with musculoskeletal models in forward-dynamic computer simulations is currently the most promising approach. However, it is challenging to validate muscle models in-vivo in humans, because access to the energy expenditure of single muscles is difficult. Previous approaches focused on whole body energy expenditure, e.g., oxygen consumption (VO2), or on thermal measurements of individual muscles by tracking blood flow and heat release (through measurements of the skin temperature). This study proposes to validate models of muscular energy expenditure by using functional phosphorus magnetic resonance spectroscopy (31P-MRS). 31P-MRS allows to measure phosphocreatine (PCr) concentration which changes in relation to energy expenditure. In the first 25 s of an exercise, PCr breakdown rate reflects ATP hydrolysis, and is therefore a direct measure of muscular enthalpy rate. This method was applied to the gastrocnemius medialis muscle of one healthy subject during repetitive dynamic plantarflexion movements at submaximal contraction, i.e., 20% of the maximum plantarflexion force using a MR compatible ergometer. Furthermore, muscle activity was measured by surface electromyography (EMG). A model (provided as open source) that combines previous models for muscle contraction dynamics and energy expenditure was used to reproduce the experiment in simulation. All parameters (e.g., muscle length and volume, pennation angle) in the model were determined from magnetic resonance imaging or literature (e.g., fiber composition), leaving no free parameters to fit the experimental data. Model prediction and experimental data on the energy supply rates are in good agreement with the validation phase (<25 s) of the dynamic movements. After 25 s, the experimental data differs from the model prediction as the change in PCr does not reflect all metabolic contributions to the energy expenditure anymore and therefore underestimates the energy consumption. This shows that this new approach allows to validate models of muscular energy expenditure in dynamic movements in vivo.
Long-Term Health-Related Quality of Life after Four Common Surgical Treatment Options for Breast Cancer and the Effect of Complications: A Retrospective Patient-Reported Survey among 1871 Patients

Background: Differences in quality-of-life outcomes after different surgical breast cancer treatment options, including breast reconstruction, are relevant for counseling individual patients in clinical decision-making, and for (societal) evaluations such as cost-effectiveness analyses. However, current literature shows contradictory results, because of use of different patient-reported outcome measures and study designs with limited patient numbers. The authors set out to improve this evidence using patient-reported outcome measures in a large, cross-sectional study for different surgical breast cancer treatment options. Methods: Quality of life was assessed through the EQ-5D-5L, European Organization for Research and Treatment of Cancer Quality of Life Questionnaires C30 and BR23, and the BREAST-Q. Patients with different treatments were compared after propensity-weighted adjustment of pretreatment differences. The EQ-5D was used to value the effect of surgical complications. Results: A total of 1871 breast cancer patients participated (breast-conserving surgery, n = 615; mastectomy, n = 507; autologous reconstruction, n = 330; and implant-based reconstruction, n = 419). Mastectomy patients reported the lowest EQ-5D score (mastectomy, 0.805, breast-conserving surgery, 0.844; autologous reconstruction, 0.849; and implant-based reconstruction, 0.850) and functioning scores of the C30 questionnaire. On the BREAST-Q, autologous reconstruction patients had higher mean Satisfaction with Outcome, Satisfaction with Breasts, and Sexual Well-being scores than implant-based reconstruction patients. Complications in autologous reconstruction patients resulted in a substantially lower quality of life than in implant-based reconstruction patients. Conclusions: This study shows the added value of breast conservation and reconstruction compared with mastectomy; however, differences among breast-conserving surgery, implant-based reconstruction, and autologous breast reconstruction were subtle. Complications resulted in poorer health-related quality of life.