Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk perception and usage of non-occupational post-exposure prophylaxis among fisherfolk in Ggulwe parish on the shores of Lake Victoria in central Uganda

Background The use of non-occupational post-exposure prophylaxis (nPEP) to prevent HIV acquisition among those exposed as an approach to HIV prevention has expanded in Uganda. Although there are increased efforts to avail nPEP services among most at-risk populations, the usage of nPEP medicines remains low. Therefore, this study examined the risk perception and usage of non-occupational post-exposure prophylaxis (nPEP) among fisherfolk in the Ggulwe fishing parish, Bussi sub-county, Wakiso district. Methods A cross-sectional study among adults was carried out from October 2020 to January 2021 in Ggulwe parish, Bussi sub-county, Wakiso district, to examine the usage of nPEP and factors influencing the usage. Data were collected using semi-structured questionnaires, and key informants' interviews were conducted among healthcare providers and the local leadership. The quantitative data were summarized using bivariate and multivariate logistic regression, while the qualitative data were analyzed thematically to enrich the quantitative results. Results Overall, 248 fisherfolk encountered an event that required the use of nPEP, and of these, 55/248 (22.2%) were able to use nPEP to prevent them from acquiring HIV. The usage of nPEP among adults in the Bussi sub-county, Wakiso district, was associated with not knowing that HIV can be prevented using nPEP medicines (AOR:0.1, 95% CI 0.03–0.36, p < 0.001), lack of knowledge of the existence of nPEP (AOR: 0.3, 95% CI 0.13–0.76, p = 0.01), the perception that nPEP can effectively prevent HIV infection after exposure (AOR 0.0586, 95% CI: 0.0177–0.1944, p < 0.001), and the community's opinion affecting the willingness to take nPEP (AOR 0.1924, 95% CI: 0.0380–0.9727, p = 0.0462). Conclusion The usage of nPEP among fisherfolk was low (22.2%). The low usage of nPEP was associated with a lack of knowledge and awareness about nPEP. This effort to improve the usage of nPEP should include community sensitization and HIV infection prevention using nPEP to raise awareness about HIV infection exposures and the risk of HIV infection during non-occupational exposures.
Assessing the Presence of IgG Antibodies against Influenza Viruses in Neonates after Maternal Vaccination and Factors That May Affect the Transplacental Transfer

Special populations, particularly pregnant women, are uniquely susceptible to infectious diseases due to alterations in their immunological, respiratory, and cardiovascular systems during gestation. Influenza infections during the perinatal period have been associated with more severe maternal and perinatal outcomes, underscoring the critical importance of vaccination data for pregnant women. According to the World Health Organization (WHO), all pregnant women and those of childbearing age should receive the inactivated influenza vaccine, irrespective of their pregnancy stage. This study aimed to elucidate factors influencing neonatal antibody presence following maternal influenza vaccination. Conducted through convenience sampling in Athens, Greece, this study involved 78 pregnant women who received flu vaccinations. The participants completed questionnaires covering demographics, obstetric history, attitudes toward influenza vaccination, and knowledge about the influenza virus and pregnancy vaccination. Blood samples were collected from 83 neonates to assess IgG antibody presence. Five of the surveyed women had twin pregnancies. The statistical analysis employed IBM SPSS-Statistics version 26.0. This study revealed the presence of positive influenza A and B antibodies in neonates following maternal immunization. Furthermore, it identified factors such as the gestational week and timing of vaccination during pregnancy that influenced the transfer of antibodies from mother to fetus. These findings offer valuable insights for healthcare professionals to provide informed recommendations on influenza vaccination during pregnancy and empower expectant mothers to make informed decisions about the benefits of immunization.
Electromyographic Validation of Spontaneous Facial Mimicry Detection Using Automated Facial Action Coding

Although electromyography (EMG) remains the standard, researchers have begun using automated facial action coding system (FACS) software to evaluate spontaneous facial mimicry despite the lack of evidence of its validity. Using the facial EMG of the zygomaticus major (ZM) as a standard, we confirmed the detection of spontaneous facial mimicry in action unit 12 (AU12, lip corner puller) via an automated FACS. Participants were alternately presented with real-time model performance and prerecorded videos of dynamic facial expressions, while simultaneous ZM signal and frontal facial videos were acquired. Facial videos were estimated for AU12 using FaceReader, Py-Feat, and OpenFace. The automated FACS is less sensitive and less accurate than facial EMG, but AU12 mimicking responses were significantly correlated with ZM responses. All three software programs detected enhanced facial mimicry by live performances. The AU12 time series showed a roughly 100 to 300 ms latency relative to the ZM. Our results suggested that while the automated FACS could not replace facial EMG in mimicry detection, it could serve a purpose for large effect sizes. Researchers should be cautious with the automated FACS outputs, especially when studying clinical populations. In addition, developers should consider the EMG validation of AU estimation as a benchmark.
Modeling embodied intelligence: can we capture its essence by modeling internal and external interactions?

In soft robotics, embodied intelligence leverages on the compliance of the physical body to let sensory-motor behaviour emerge from the interaction with the environment. Soft robot modeling often focuses on the effect of actuation on the deformable body. Can we model and describe mathematically the deformations of a soft robot body under external interaction forces? Would that capture the essence of embodied intelligence? We argue that addressing this challenge, in an interdisciplinary effort, would make embodied intelligence and soft robotics take a leap forward and transition from a trial-and-error pioneering phase to a model-informed discipline era.
Differentiation and evolution of the IVA meteorite parent body: Clues from pyroxene geochemistry in the Steinbach stony‐iron meteorite

Abstract— We analyzed the Steinbach IVA stony‐iron meteorite using scanning electron microscopy (SEM), electron microprobe analysis (EMPA), laser ablation inductively‐coupled‐plasma mass spectroscopy (LA‐ICP‐MS), and modeling techniques. Different and sometimes adjacent low‐Ca pyroxene grains have distinct compositions and evidently crystallized at different stages in a chemically evolving system prior to the solidification of metal and troilite. Early crystallizing pyroxene shows evidence for disequilibrium and formation under conditions of rapid cooling, producing clinobronzite and type 1 pyroxene rich in troilite and other inclusions. Subsequently, type 2 pyroxene crystallized over an extensive fractionation interval. Steinbach probably formed as a cumulate produced by extensive crystal fractionation (˜60–70% fractional crystallization) from a high‐temperature (˜1450–1490 °C) silicate‐metallic magma. The inferred composition of the precursor magma is best modeled as having formed by ≥30–50% silicate partial melting of a chondritic protolith. If this protolith was similar to an LL chondrite (as implied by O‐isotopic data), then olivine must have separated from the partial melt, and a substantial amount (˜53–56%) of FeO must have been reduced in the silicate magma. A model of simultaneous endogenic heating and collisional disruption appears best able to explain the data for Steinbach and other IVA meteorites. Impact disruption occurred while the parent body was substantially molten, causing liquids to separate from solids and oxygen‐bearing gas to vent to space, leading to a molten metal‐rich body that was smaller than the original parent body and that solidified from the outside in. This model can simultaneously explain the characteristics of both stony‐iron and iron IVA meteorites, including the apparent correlation between metal composition and metallographic cooling rate observed for metal.
Bulk properties of isentropic mixing into the tropics in the lower stratosphere

Timescales for mixing of midlatitude air into the tropical lower stratosphere are deduced from observations of long-lived tracers N 2 O and CCl 3 F. Bulk mixing between tropical and midlatitude regions is assumed to be isentropic and relatively slow compared with local mixing within each region. The mean value of the mixing timescale ranges from 12 to 18 months near 20 km. There is a tendency for shorter mixing times at higher and lower altitudes, although vertical profiles of mixing cannot be definitively established by the data. A more robust quantity is given by the fraction of midlatitude air entrained into the tropical upwelling region. Implied mixing fractions exceed 50% above 22 km.
Exponential Stabilization of Stochastic Feedforward Nonlinear Systems: A Dynamic Gain Approach

This article solves the problem of almost sure exponential stabilization via output feedback control for stochastic feedforward nonlinear systems with the unknown growth rate. A novel dynamic gain is introduced not only to cope with system uncertainties but also to ensure exponential convergence. Based on this dynamic gain, an adaptive output feedback controller is explicitly constructed. By introducing an improved stochastic analysis method, we rigorously prove that the closed-loop system has an almost surely unique solution, all the closed-loop signals are bounded almost surely, and the solution of the closed-loop system tends to the equilibrium position exponentially fast.
The geochemistry of cave calcite deposits as a record of past climate

Cave calcite deposits, and stalagmites specifically, are proving to be critical recorders of paleoclimate. Stalagmites develop from the slow accumulation of calcite deposited after the degassing of carbon dioxide from percolation water in caves. Stalagmites are therefore theoretically capable of recording the hydrochemistry of every drip of water that impacts their surface, but complications involving hydrology, cave air P CO2 variability, intra-aquifer processing, and petrography preclude straightforward interpretation. Nevertheless, stalagmite climate proxy records using stable isotopes, particularly of oxygen, are reconstructing the timing, structure, and in some cases magnitude of climate shifts worldwide.Trace element to calcium ratios in stalagmite are a promising new proxy for both independent reconstruction of climate and for supporting oxygen isotope ratios. Extensive monitoring of individual cave sites is required to most accurately interpret stalagmite proxy records.
Lifetime engineering of bioelectronic implants with mechanically reliable thin film encapsulations

While the importance of thin form factor and mechanical tissue biocompatibility has been made clear for next generation bioelectronic implants, material systems meeting these criteria still have not demonstrated sufficient long-term durability. This review provides an update on the materials used in modern bioelectronic implants as substrates and protective encapsulations, with a particular focus on flexible and conformable devices. We review how thin film encapsulations are known to fail due to mechanical stresses and environmental surroundings under processing and operating conditions. This information is then reflected in recommending state-of-the-art encapsulation strategies for designing mechanically reliable thin film bioelectronic interfaces. Finally, we assess the methods used to evaluate novel bioelectronic implant devices and the current state of their longevity based on encapsulation and substrate materials. We also provide insights for future testing to engineer long-lived bioelectronic implants more effectively and to make implantable bioelectronics a viable option for chronic diseases in accordance with each patient’s therapeutic timescale.
Profiling of Microbial Landscape in Lung of Chronic Obstructive Pulmonary Disease Patients Using RNA Sequencing

Purpose The aim of the study was to use RNA sequencing (RNA-seq) data of lung from chronic obstructive pulmonary disease (COPD) patients to identify the bacteria that are most commonly detected. Additionally, the study sought to investigate the differences in these infections between normal lung tissues and those affected by COPD. Patients and Methods We re-analyzed RNA-seq data of lung from 99 COPD patients and 93 non-COPD smokers to determine the extent to which the metagenomes differed between the two groups and to assess the reliability of the metagenomes. We used unmapped reads in the RNA-seq data that were not aligned to the human reference genome to identify more common infections in COPD patients. Results We identified 18 bacteria that exhibited significant differences between the COPD and non-COPD smoker groups. Among these, Yersinia enterocolitica was found to be more than 30% more abundant in COPD. Additionally, we observed difference in detection rate based on smoking history. To ensure the accuracy of our findings and distinguish them from false positives, we double-check the metagenomic profile using Basic Local Alignment Search Tool (BLAST). We were able to identify and remove specific species that might have been misclassified as other species in Kraken2 but were actually Staphylococcus aureus, as identified by BLAST analysis. Conclusion This study highlighted the method of using unmapped reads, which were not typically used in sequencing data, to identify microorganisms present in patients with lung diseases such as COPD. This method expanded our understanding of the microbial landscape in COPD and provided insights into the potential role of microorganisms in disease development and progression.
Splicing factor proline- and glutamine-rich regulates cytotoxic T lymphocytes-mediated cytotoxicity on non-small cell lung cancer by directly binding to PD-L1 3’UTR

Splicing factor proline- and glutamine-rich (SFPQ) can interact with RNAs to regulate gene expression. The function of SFPQ in the immunotherapy of non-small cell lung cancer (NSCLC) is investigated in this study. H1299 and A549 cells were transfected with shSFPQ plasmid. Cell counting kit-8 (CCK-8) and cell clone formation were utilized to detect survival and proliferation. Programmed death-ligand 1 (PD-L1) and SFPQ were detected in NSCLC patients treated with anti-PD-L1 antibody. Dual-luciferase assays, RNA immunoblotting, RNA pull-down, and mRNA stability assay were applied to verify the regulation of PD-L1 with SFPQ. Human peripheral blood mononuclear cells (PBMC)-derived dendritic cells were loaded with irradiated A549 and H1299 cells, which were cultured with autologous CD8+T cells and tumor cells to perform in vitro tumor-specific cytotoxic T lymphocytes (CTL) cytotoxicity analysis. SFPQ silencing inhibited the survival and proliferation of H1299 and A549 cells with down-regulated PD-L1 expression. PD-L1 and SFPQ expression were markedly higher in anti-PD-L1 antibody treatment responders compared to non-responders, which showed a positive Pearson correlation (R = 0.76, P < .001). SFPQ up-regulated the relative mRNA and protein expression of PD-L1 by binding to the PD-L1 3’UTR to slow the decay of PD-L1 mRNA. SFPQ silencing promoted the killing effect of CTL on A549 and H1299 cells. SFPQ up-regulates PD-L1 expression by binding with PD-L1 3’UTR to slow the decay of PD-L1 mRNA, and SFPQ silencing promotes CTL-mediated cytotoxicity on NSCLC cells.
Imaging of Evoked Cortical Depolarizations Using Either ASAP2s, or chi-VSFP, or Di-4-Anepps, or Autofluorescence Optical Signals.

BACKGROUND Population voltage imaging is used for studying brain physiology and brain circuits. Using a genetically encoded voltage indicator (GEVI), "VSFP" or "ASAP2s", or a voltage-sensitive dye, Di-4-Anepps, we conducted population voltage imaging in brain slices. The resulting optical signals, optical local field potentials (LFPs), were used to evaluate the performances of the 3 voltage indicators. METHODS In brain slices prepared from VSFP-transgenic or ASAP2s-transgenic mice, we performed multi-site optical imaging of evoked cortical depolarizations - compound excitatory postsynaptic potentials (cEPSPs). Optical signal amplitudes (ΔF/F) and cEPSP decay rates (OFF rates) were compared using analysis of variance (ANOVA) followed by unpaired Student's t test (31-104 data points per voltage indicator). RESULTS The ASAP2s signal amplitude (ΔF/F) was on average 3 times greater than Di-4-Anepps, and 7 times greater than VSFP. The optical cEPSP decay (OFF rate) was the slowest in Di-4-Anepps and fastest in ASAP2s. When ASAP2s expression was weak, we observed slow, label-free (autofluorescence, metabolic) optical signals mixed into the ASAP2s traces. Fast hyperpolarizations, that typically follow depolarizing cortical transients (afterhyperpolarizations), were prominent in ASAP2s but not present in the VSFP and Di-4-Anepps experiments. CONCLUSIONS Experimental applications for ASAP2s may potentially include systems neuroscience studies that require voltage indicators with large signal amplitude (ΔF/F), fast decay times (fast response time is needed for monitoring high frequency brain oscillations), and/or detection of brain patches in transiently hyperpolarized states (afterhyperpolarization).
Building synthetic worlds: lessons from the excessive infatuation and oversold disillusionment with the metaverse

ABSTRACT The metaverse comprises a range of technologies offering shared digital experiences based on immersive virtual worlds or decentralised economies. Brands, Big Tech, and investors made huge investments in the metaverse, but users did not share their excitement and the bubble duly burst. We explore this story by drawing on a wide range of data sources and first-hand knowledge. We consider the metaverse as a set of overlapping, partly competing ecosystems and expand the lens of industry architecture to Ecosystem Architecture to examine the rules, roles, and responsibilities involved. We find that incumbent firms rushed to embrace the metaverse in the hope of pre-empting disruption and safeguarding their competitive position, leading to over-investment. Greed among ecosystem orchestrators impeded contributors from creating value, while persistent technological shortcomings impaired the user experience. Our study throws new light on the dynamics of innovation and technology hypes and the challenges involved in cultivating and coordinating ecosystems.
Microbiome-Mediated Protection against Pathogens in Woody Plants

Pathogens, especially invasive species, have caused significant global ecological, economic, and social losses in forests. Plant disease research has traditionally focused on direct interactions between plants and pathogens in an appropriate environment. However, recent research indicates that the microbiome can interact with the plant host and pathogens to modulate plant resistance or pathogen pathogenicity, thereby altering the outcome of plant–pathogen interactions. Thus, this presents new opportunities for studying the microbial management of forest diseases. Compared to parallel studies on human and crop microbiomes, research into the forest tree microbiome and its critical role in forest disease progression has lagged. The rapid development of microbiome sequencing and analysis technologies has resulted in the rapid accumulation of a large body of evidence regarding the association between forest microbiomes and diseases. These data will aid the development of innovative, effective, and environmentally sustainable methods for the microbial management of forest diseases. Herein, we summarize the most recent findings on the dynamic structure and composition of forest tree microbiomes in belowground and aboveground plant tissues (i.e., rhizosphere, endosphere, and phyllosphere), as well as their pleiotropic impact on plant immunity and pathogen pathogenicity, highlighting representative examples of biological control agents used to modulate relevant tree microbiomes. Lastly, we discuss the potential application of forest tree microbiomes in disease control as well as their future prospects and challenges.
An Application of Distributed Hydrological Model, YHyM/BTOPMC to Gin Ganga Watershed, Sri Lanka

Modelling approach is a useful tool which provides information on spatial distribution of basin hydrologic components. In that context distributed hydrological models play a vital role in efficient planning and managing water resources systems. But their applications are partly limited due to the requirement of large amount of data which are not always available and difficulties in obtaining such data due to bureaucratic constraints. Global public domain data sets have become increasingly available on the internet and it is appropriate to make use of such data which can often be supplemented for ground-based data. The objective of this study is to investigate the applicability of the distributed hydrological model, YHyM/BTOPMC to simulate the major hydrological characteristics in Gin ganga watershed utilizing the global data sets readily available in public domain along with the local available rainfall and discharge data. Gin ganga is a river which is one of the main sources of water supply to the southern region of Sri Lanka. It’s catchment entirely lies within the wet zone of the country and frequently subjected to flooding during the rainy seasons. Hence, it is vital to comprehend the hydrology of the watershed in order to gain knowledge on current and future hydrological conditions. In the study, YHyM/BTOPMC model performance was evaluated by the Nash-Sutcliffe Efficiency (E) and the volume ratio of simulated discharge to observed discharge (Vr). The results show that the overall hydrological behaviour of the Gin ganga watershed is adequately simulated by the model. Further the results are discussed in the context of how the model simulation results replicate the temporal variation of basin hydrological characteristics such as ground water saturation deficit, soil moisture states, base flow etc.