Miracle-dz/UniFAR-FTUs huggingface dataset:
Pyrazabole: Elektrophile Substitutionen und Röntgenstrukturuntersuchungen

Elektrophil induzierte Substitutionsreaktionen an den Boratomen der Pyrazabole [R2Bpz]2 mit 10BBr3 erfolgen ohne Austausch von Boratomen. Alle vier Substituenten R werden gegen Br substituiert (Ausnahme R C2H5), wobei 11B-NMR-spektroskopisch verschieden substituierte Pyrazabole als Zwischenprodukte nachgewiesen und in einigen Fallen isoliert wurden. Dabei weisen die NMR-Daten der Umsetzung von [(C2H5)2Bpz]2 mit BBr3 auf eine ionische Zwischenstufe fur diese Austauschreaktion hin. Eine schrittweise Substitution erfolgt auch bei der Umsetzung des Pyrazabols 1a mit Pyrazol, wie die Isolierung von Monopyrazol-1-ylpyrazabol 1e zeigt. — Nach Rontgenstrukturuntersuchungen an funf Pyrazabolen liegt der zentrale B2N4-Ring in der Sessel-Boot- oder planaren Konformation vor. Danach scheinen Packungseffekte die jeweilige Konformation im festen Zustand zu bestimmen. Pyrazaboles: Electrophilic Substitutions and Studies of Their Crystal and Molecular Structures Electrophilically induced substitution reactions at the boron atoms of pyrazaboles, [R2Bpz]2, using 10BBr3 proceed without exchange of the boron atoms. All four substituents R may be exchanged for Br, with the exception of R C2H5, and variously substituted pyrazaboles are detected by 11B NMR as intermediates. Some of these were isolated. Based on NMR data obtained for the reaction of [(C2H5)2Bpz]2 with BBr3, ionic intermediates are proposed for these exchange reactions. A stepwise interaction also occurs on treatment of the pyrazabole 1a with pyrazole; this is documented by the isolation of the monopyrazol-1-ylpyrazabole 1e. — The central B2N4 ring of pyrazaboles adopts a chair, a boat, or a planar conformation in the solid state as shown by X-ray structural studies on five different pyrazaboles. Therefore, packing effects seem to determine the ring conformation.
A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation From EEG Signals

Electroencephalography (EEG) is commonly used to measure the depth of anesthesia (DOA) because EEG reflects surgical pain and state of the brain. However, precise and real-time estimation of DOA index for painful surgical operations is challenging due to problems such as postoperative complications and accidental awareness. To tackle these problems, we propose a new combinatorial deep learning structure involving convolutional neural networks (inspired by the inception module), bidirectional long short-term memory, and an attention layer. The proposed model uses the EEG signal to continuously predicts the bispectral index (BIS). It is trained over a large dataset, mostly from those under general anesthesia with few cases receiving sedation/analgesia and spinal anesthesia. Despite the imbalance distribution of BIS values in different levels of anesthesia, our proposed structure achieves convincing root mean square error of 5.59 $\pm$ 1.04 and mean absolute error of 4.3 $\pm$ 0.87, as well as improvement in area under the curve of 15% on average, which surpasses state-of-the-art DOA estimation methods. The DOA values are also discretized into four levels of anesthesia and the results demonstrate strong inter-subject classification accuracy of 88.7% that outperforms the conventional methods.
Associations Between Everyday Discrimination and Sleep: Tests of Moderation by Ethnicity and Sense of Purpose.

BACKGROUND Everyday discrimination holds pernicious effects across most aspects of health, including a pronounced stress response. However, work is needed on when discrimination predicts sleep outcomes, with respect to potential moderators of these associations. PURPOSE The current study sought to advance the past literature by examining the associations between everyday discrimination and sleep outcomes in an ethnically diverse sample, allowing tests of moderation by ethnic group. We also examined the role of sense of purpose, a potential resilience factor, as another moderator. METHODS Participants in the Hawaii Longitudinal Study of Personality and Health (n = 758; 52.8% female; mage: 60 years, sd = 2.03) completed assessments for everyday discrimination, sleep duration, daytime dysfunction due to sleep, sleep quality, and sense of purpose. RESULTS In the full sample, everyday discrimination was negatively associated with sleep duration, sleep quality, and sense of purpose, while positively associated with daytime dysfunction due to sleep. The associations were similar in magnitude across ethnic groups (Native Hawaiian, White/Caucasian, Japanese/Japanese-American), and were not moderated by sense of purpose, a potential resilience factor. CONCLUSIONS The ill-effects on health due to everyday discrimination may operate in part on its role in disrupting sleep, an issue that appears to similarly impact several groups. The current research extends these findings to underrepresented groups in the discrimination and sleep literature. Future research is needed to better disentangle the day-to-day associations between sleep and discrimination, and identify which sources of discrimination may be most problematic.
Subarachnoid haemorrhage rules in the decision for acute CT of the head: external validation in a UK cohort.

BACKGROUND The Ottawa subarachnoid haemorrhage (SAH) rule and the Emerald SAH rule are clinical decision tools to aid in the decision for computed tomography (CT) of the head in patients attending an emergency department (ED) with acute non-traumatic headache. The objective of this study was to analyse the performance of these rules in a contemporary UK cohort. METHODS We performed a retrospective external validation study. Patients undergoing CT of the head for the evaluation and treatment of non-traumatic headaches over a 6-month period in the ED at two tertiary centres were assessed. Each patient's Ottawa rule and Emerald rule were calculated and compared with their final diagnosis. RESULTS The cohort consisted of 366 patients and there were 16 cases of SAH (based on CT findings or the presence of xanthochromia in cerebrospinal fluid). The Ottawa rule identified 288 patients requiring CT of the head. The sensitivity of the Ottawa rule was 100% (95% confidence interval (CI) 71-100%) and the specificity was 22% (95% CI 18-27%). The Emerald rule identified 267 patients who required CT, and achieved a sensitivity of 81% (95% CI 54-96%) and a specificity of 27% (95% CI 23-32%). CONCLUSIONS The Ottawa SAH rule correctly identified all patients with SAH in this contemporary cohort. The Emerald rule did not perform as well in this cohort and is unsuitable for clinical use. The Ottawa rule is a useful tool to aid in the decision for CT of the head in patients presenting with acute non-traumatic headache to the ED.
The Contributions of Clinical Pharmacology to HIV Cure Research

Combination antiretroviral therapy (ART) can suppress plasma HIV‐RNA to < 50 copies/mL, decrease HIV transmission, reduce mortality, and improve quality of life for people living with HIV. ART cannot, however, eliminate HIV from an infected individual. The primary barrier to cure HIV infection is the multiple reservoir sites, including adipose tissue, bone marrow, central nervous system, liver, lungs, male and female reproductive system, secondary lymph nodes, and gut‐associated lymphoid tissue, established 1 to 2 weeks after acquisition of HIV. Additional challenges include understanding the mechanism(s) by which HIV is maintained at low or undetectable levels and developing treatments that will eradicate or produce a sustained suppression of virus without ART. To date, the most extensive clinical investigations of cure strategies have been the shock‐and‐kill approach using histone deacetylase inhibitors (HDACis) to induce reactivation of latent HIV. Despite evidence for HIV latency reversal, HDACis alone have not decreased the size of the latent reservoir. Clinical pharmacologic explanations for these results include a low inhibitory quotient (i.e., low potency) within the reservoir sites and intrinsic (e.g., sex differences and reservoir size) and extrinsic (physiochemical and pharmacokinetic drug characteristics) factors. We offer an outline of desired clinical pharmacologic attributes for therapeutics intended for clinical HIV cure research and call for research teams to have early and ongoing involvement of clinical pharmacologists. We believe such a collective effort will provide a solid scientific basis and hope for reaching the goal of a cure for HIV infection.
Adult bilinguals outperform monolinguals in theory of mind

Theory of mind (ToM) is an essential ability for social competence and communication, and it is necessary for understanding behaviours that differ from our own. Research on bilingual children has reported that 3- and 4-year-old bilinguals outperform monolinguals in ToM tasks. Research suggests that adult bilinguals also might outperform monolinguals; nevertheless, this effect has yet to be established. Here, we tested bilingual and monolingual adults on the director task. Results showed that bilingual adults outperformed monolinguals in response to perspective-dependent trials of the director task, but not in response to control trials. This suggests that bilingualism is associated with individuals’ ability to take into account the perspective of another person. In addition, the number of cultures that participants were exposed to, regardless of whether the participant was bilingual or not, was also associated with ToM performance. Overall, the findings suggest that linguistic and cultural experience have an impact on ToM.
Australian voters’ attitudes to climate action and their social-political determinants

Australia is a relative laggard on climate policy, amidst social and political fractures despite rising support for climate policy in opinion polls. In the 2019 Australian federal election, which was dubbed the ‘climate election’, the opposition campaigned on comparatively ambitious climate action but the government was returned on a status quo policy. We explore the social-political determinants of climate attitudes and how they are positioned in relation to voting behaviour, in the context of the 2019 election. We use a large nationally representative survey of Australian voters (n = 2,033), and employ univariate and multivariate ordinal logistic regression models to uncover correlates. We find that a large majority of voters think it is important for Australia to reduce greenhouse gas emissions. However, the importance given to emissions reductions is sharply divided along lines of political party preference. Holding pro-climate action attitudes consistently correlates with voting for progressive political parties and having higher levels of education. We also find a strong age cohort divide, with younger people holding stronger pro-climate attitudes than older people, raising the question whether we are seeing the emergence of a new generation expressing strong pro-climate action and progressive political attitudes that will persist over time. We conduct population ageing scenarios to project changes to public opinion, by age group, into the future. These indicate that strong support for climate action would increase by about four percentage points over the coming decade as younger voters replace the old, if attitudes within cohorts remained fixed. We conclude that while cleavages in climate attitudes in Australia are set to continue, efforts to promote climate delay are bound to have a limited shelf life as a growing majority of voters accepts the need for climate action.
Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease

Significance Microfluidics is an important in vitro platform to gain insights into mechanics of blood flow and mechanisms of pathophysiology of human diseases. Extraction of 3D fields in microfluidics with dense cell suspensions remains a formidable challenge. We present artificial-intelligence velocimetry (AIV) as a general platform to determine 3D flow fields and a microaneurysm-on-a-chip to simulate blood flow in microaneurysms in patients with diabetic retinopathy. AIV is built on physics-informed neural networks that integrate seamlessly 2D images from microfluidic experiments or in vivo observations with physical laws to estimate full 3D velocity and stress fields. AIV could be integrated into imaging technologies to automatically infer key hemodynamic metrics from in vivo and in vitro biomedical images. Understanding the mechanics of blood flow is necessary for developing insights into mechanisms of physiology and vascular diseases in microcirculation. Given the limitations of technologies available for assessing in vivo flow fields, in vitro methods based on traditional microfluidic platforms have been developed to mimic physiological conditions. However, existing methods lack the capability to provide accurate assessment of these flow fields, particularly in vessels with complex geometries. Conventional approaches to quantify flow fields rely either on analyzing only visual images or on enforcing underlying physics without considering visualization data, which could compromise accuracy of predictions. Here, we present artificial-intelligence velocimetry (AIV) to quantify velocity and stress fields of blood flow by integrating the imaging data with underlying physics using physics-informed neural networks. We demonstrate the capability of AIV by quantifying hemodynamics in microchannels designed to mimic saccular-shaped microaneurysms (microaneurysm-on-a-chip, or MAOAC), which signify common manifestations of diabetic retinopathy, a leading cause of vision loss from blood-vessel damage in the retina in diabetic patients. We show that AIV can, without any a priori knowledge of the inlet and outlet boundary conditions, infer the two-dimensional (2D) flow fields from a sequence of 2D images of blood flow in MAOAC, but also can infer three-dimensional (3D) flow fields using only 2D images, thanks to the encoded physics laws. AIV provides a unique paradigm that seamlessly integrates images, experimental data, and underlying physics using neural networks to automatically analyze experimental data and infer key hemodynamic indicators that assess vascular injury.
Redistribution of carbon and nitrogen compounds from the shoot to the harvesting organs during maturation in field crops

Abstract The present paper alms at determining how carbon (C) and nitrogen (N) compounds are redistributed from leaves to harvesting organs during maturation in several major field crops. In order to illustrate these processes in the case of C and N compounds, 6 major crops in Hokkaido were grown and compared during maturation. The results obtained were as follows. 1) The N-redistribution rate during maturation was in the order of wheat, soybean and potato > maize > rice. The percentage of distributed nitrogen among the different nitrogenous fractions in leaves and stems was remained constant during maturation, suggesting that each nitrogen compound was equally decomposed. 2) The composition of protein amino acids was similar regardless of organs or crops. The composition of free amino acids differed widely among organs and crops, and differed from that of protein amino acids. Therefore during the translocation of amino acids from leaves to harvesting organs through stems, the composition of free amino ac.
‘We are in this together’ voices of speech-language pathologists working in South African healthcare contexts during level 4 and level 5 lockdown of COVID-19

Background SARS-CoV-2 (COVID-19) has had a significant impact on every South African but more specifically healthcare professionals, including speech-language pathologists (SLPs). In response to the COVID-19 pandemic, South Africa implemented a nationwide lockdown as confirmed cases continued to rise. Understanding the impact of COVID-19 on SLPs has a three-fold purpose: to re-evaluate service provision, service delivery platforms and to identify the need for support to SLPs during a time of crisis. It is also crucial in guiding how policies and interventions need to be modified. Objectives The study aimed to better understand how the workspace of SLPs in hospitals was impacted by COVID-19, how they experienced this process and the implications for them as healthcare professionals in both the private and public sector throughout South Africa. Methodology An exploratory cross-sectional study design was used to meet the aims of the study. Thirty-nine SLPs from different provinces in South Africa, working in government and private hospitals during COVID-19, responded to the online survey. Results were analysed using descriptive statistics and thematic content analysis. Results SLPs’ roles, responsibilities and service delivery were impacted by COVID-19. It was necessary for typical outpatient therapy services to be modified; there were changes to the role of the SLP in the hospital and inpatient services were curtailed. Conclusion This study provides insightful information to SLPs employed in hospitals to know that they are experiencing similar challenges. It also confirms the resilience of healthcare professionals, including SLPs, when faced with novel and unprecedented situations.
Baseline Blood-Brain Barrier Leakage and Longitudinal Microstructural Tissue Damage in the Periphery of White Matter Hyperintensities

Objective To investigate the 2-year change in parenchymal diffusivity, a quantitative marker of microstructural tissue condition, and the relationship with baseline blood-brain barrier (BBB) permeability, in tissue at risk, i.e., the perilesional zone surrounding white matter hyperintensities (WMH) in patients with cerebral small vessel disease (cSVD). Methods Patients with sporadic cSVD (lacunar stroke or mild vascular cognitive impairment) underwent 3T MRI at baseline, including dynamic contrast-enhanced MRI to quantify BBB permeability (i.e., leakage volume and rate) and intravoxel incoherent motion imaging (IVIM), a diffusion technique that provides parenchymal diffusivity D. After 2 years, IVIM was repeated. We assessed the relation between BBB leakage measures at baseline and change in parenchymal diffusivity (∆D) over 2 years in the perilesional zones (divided in 2-mm contours) surrounding WMH. Results We analyzed 43 patients (age 68 ± 12 years, 58% male). In the perilesional zones, ∆D increased 0.10% (confidence interval [CI] 0.07–0.013%) (p < 0.01) per 2 mm closer to the WMH. Furthermore, ∆D over 2 years showed a positive correlation with both baseline BBB leakage volume (r = 0.29 [CI 0.06–0.52], p = 0.013) and leakage rate (r = 0.24 [CI 0.02–0.47], p = 0.034). Conclusion BBB leakage at baseline is related to the 2-year change in parenchymal diffusivity in the perilesional zone of WMH. These results support the hypothesis that BBB impairment might play an early role in subsequent microstructural white matter degeneration as part of the pathophysiology of cSVD.
NITRATE-CIN Study: Protocol of a Randomized (1:1) Single-Center, UK, Double-Blind Placebo-Controlled Trial Testing the Effect of Inorganic Nitrate on Contrast-Induced Nephropathy in Patients Undergoing Coronary Angiography for Acute Coronary Syndromes

Background: Contrast-induced nephropathy (CIN), an acute kidney injury resulting from the administration of intravascular iodinated contrast media, is a significant cause of morbidity/mortality following coronary angiographic procedures in high-risk patients. Despite preventative measures intended to mitigate the risk of CIN, there remains a need for novel effective treatments. Evidence suggests that delivery of nitric oxide (NO) through chemical reduction of inorganic nitrate to NO may offer a novel therapeutic strategy to reduce CIN and thus preserve long term renal function. Design: The NITRATE-CIN trial is a single-center, randomized, double-blind placebo-controlled trial, which plans to recruit 640 patients presenting with acute coronary syndromes (ACS) who are at risk of CIN. Patients will be randomized to either inorganic nitrate therapy (capsules containing 12 mmol KNO3) or placebo capsules containing potassium chloride (KCl) daily for 5 days. The primary endpoint is development of CIN using the Kidney Disease Improving Global Outcomes (KDIGO) criteria. A key secondary endpoint is renal function over a 3-month follow-up period. Additional secondary endpoints include serum renal biomarkers (e.g. neutrophil gelatinase-associated lipocalin) at 6 h, 48 h and 3 months following administration of contrast. Cost-effectiveness of inorganic nitrate therapy will also be evaluated. Summary: This study is designed to investigate the hypothesis that inorganic nitrate treatment decreases the rate of CIN as part of semi-emergent coronary angiography for ACS. Inorganic nitrate is a simple and easy to administer intervention that may prove useful in prevention of CIN in at-risk patients undergoing coronary angiographic procedures.
ARY ina – specific cues guide outgrowth and arborizatio optic tectum

A prom the ve ment o tricula neuron a speci ity of minant cephal (lateral geniculate) and mesencephalon (optic tectum). In some of these areas, axons appear to subdivide dendrites into discrete territories. In the hippocampus, for example, inputs from entorhinal cortex, commissural/associational fibers and dentate granule cells are stratified such that they synapse on distal, middle, and proximal portions, respectively, of pyramidal cell dendrites (Bayer and Altman, 1987). In other cases, such as the cerebral cortex, laminar selectivity may largely reflect axonal choices among distinct cell types that populate the different laminae (Katz and Callaway, 1992). In no case, however, are the mechanisms that underlie laminar selectivity understood. We have chosen to study laminar selectivity in the optic tectum of the chick embryo. The avian tectum has long been favored for developmental studies of specific connectivity in the vertebrate CNS. This is in part because it shares several structural features with the mammalian cerebral cortex, but is considerably more accessible to experimental manipulation at ages sive eby g mati ss w ectio erfic . On anch lam echa, 1984; van Gehuchten, 1892). Moreover, it seems likely that any single retinal axon confines most of its synapses to a single one of these ‘retinoreceptive’ laminae (LaVail and Cowan, 1971; Repérant and Angaut, 1977). Within the target lamina, the axon forms synapses on cells of specific classes, many of which have somata in deeper laminae and receive input from other sources as well (Hunt and Brecha, 1984). This arrangement implies that the retinal axon confines its inputs to a defined segment of a dendritic arbor that extends over several laminae and receives many types of inputs. Thus, laminar selectivity in tectum may require an axon to recognize particular target cells (cellular specificity) and particular portions of the target cell’s surface (subcellular specificity). How might these laminar patterns arise? One possibility is that cells or dendritic segments within individual laminae bear cell surface labels that axons recognize. It is also possible, however, that patterns seen as lamina-specific in adulthood arise from refinement of a diffuse pattern by activityDevelopm Printed in
Determination of Dinoseb by adsorptive stripping voltammetry

A sensitive method is described for the determination of Dinoseb (2-sec-butyl-4, 6-dinitrophenol) at nanomolar levels by adsorptive stripping voltammetry (AdSV) at the hanging mercury drop electrode. Cyclic voltammetry studies showed two well-defined reduction peaks, at −0.21 and −0.36 V, and demonstrated the adsorption of Dinoseb and its intermediate reduction product on the electrode. A systematic study of the experimental parameters that affect the stripping response was carried out using differential pulse voltammetry. Using a 120 second adsorption time, the limits of determination and detection were 1.5 × 10−9 and 4.6 × 10−10 M, respectively, and the relative standard deviation (n = 10) was 3.9% at a concentration level of 6.0 × 10−9 M.