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Organic‐based photosystem I (PSI) protein complex bio‐solar cells have appeared as strong candidates for very low‐cost and environmentally friendly photovoltaic devices. The main challenge is their low power conversion efficiency (PCE). Such bottleneck stage in efficiency could be improved from the aspects of the absorber layer and carrier transporting layers. The proposed efficient, eco‐friendly, and simple procedure by applying a uniform pulsed electric field to align PSI dipoles leads to improved significant efficiency. Herein, the experimentally found functional data to benchmark cells have been employed to validate the first PSI numerical model using solar cell capacitance simulator‐1D for the first time. Simulation results show a reasonable agreement with those of experimental. The performance response of the second indium tin oxide/PEDOT: PSS/PSI/Au model is evaluated by varying the physical parameters of the hole transport layer (HTL). PCE characteristic achieved a fourfold increment in the crucial conduction band offset region owing to the reasonable barrier formation of electrons in the HTL/absorber interface. The optimum doping concentration is authorized at a certain μp > 10−2 cm2 V−1 S−1 with an HTL thickness in the order of 102 nm estimating an efficient numerical model compared to the HTL‐free cell. [ABSTRACT FROM AUTHOR]

Utilizing a plasma focus (PF) instrument, magnesium nitride (Mg3N2) thin films were synthesized on stainless steel substrates. Twenty five optimum focus shots at 8 cm distance from the anode tip were used to deposit the films at different angular positions regarded to the anode axis. Scanning electron microscopy (SEM), atomic force microscopy (AFM), and X‐ray diffraction (XRD) analyses were performed to assess the surface morphology and structural characteristics of Mg3N2 films. Based on AFM images, these films were studied to understand the effect of angular position variation on their surfaces through morphological and fractal parameters. By increasing the angle, we verify that the grain size decreased from 130(0) nm to 75(5) nm and also the mean quadratic surface roughness of the films reduced in its average values from (28.97 ± 3.24) nm to (23.10 ± 1.34) nm. Power spectrum density analysis indicated that films become more self‐affine at larger angles. Furthermore, the corrosion behavior of the films was investigated through a potentiodynamic polarization test in H2SO4 solution. It was found that the ion energy and flux, varying with the angular positions from the anode tip, directly affected the nanostructured roughness and surface morphology of the samples. The electrochemical studies of films show that the uncoated sample presented the lowest corrosion resistance. The highest corrosion resistance was obtained for the sample deposited with 25 optimum shots and at 0° angular position reaching a reduction in the corrosion current density of almost 800 times compared to the pure stainless steel‐304 substrate. Highlights: Mg3N2/SS films have been deposited at different angles by plasma focus (PF) instruments.The effect of angular position on the surface microtexture, morphological parameters, and corrosion features of the films was studied.The RBS measurement and X‐ray diffraction are utilized to identify the crystalline phases and thickness of films. [ABSTRACT FROM AUTHOR]

Thrombocytosis is an unusual side effect of all‐trans retinoic acid (ATRA) treatment that occurs in some patients with acute promyelocytic leukemia (APL). [ABSTRACT FROM AUTHOR]

The purpose of the present study is to examine the effect of information literacy skills instruction on the lifelong learning readiness of users in Iranian public libraries. To this end, 30 active users of two libraries were randomly placed in control and experimental groups. Information literacy skills were taught to the experimental group over one and a half months. The results revealed that information literacy instruction led to a significant increase in readiness for self-directed learning and readiness to overcome deterrents to participation. According to the findings, information literacy skills instruction made a significant difference to the information literacy of users in Iranian public libraries. The results of this study encourage public libraries to plan for the implementation of information literacy instruction in order to make public libraries lifelong learning centres. [ABSTRACT FROM AUTHOR]

Motivation Several recent studies showed that the application of deep neural networks advanced the state-of-the-art in named entity recognition (NER), including biomedical NER. However, the impact on performance and the robustness of improvements crucially depends on the availability of sufficiently large training corpora, which is a problem in the biomedical domain with its often rather small gold standard corpora. Results We evaluate different methods for alleviating the data sparsity problem by pretraining a deep neural network (LSTM-CRF), followed by a rather short fine-tuning phase focusing on a particular corpus. Experiments were performed using 34 different corpora covering five different biomedical entity types, yielding an average increase in F1-score of ∼2 pp compared to learning without pretraining. We experimented both with supervised and semi-supervised pretraining, leading to interesting insights into the precision/recall trade-off. Based on our results, we created the stand-alone NER tool HUNER incorporating fully trained models for five entity types. On the independent CRAFT corpus, which was not used for creating HUNER, it outperforms the state-of-the-art tools GNormPlus and tmChem by 5–13 pp on the entity types chemicals, species and genes. Availability and implementation HUNER is freely available at https://hu-ner.github.io. HUNER comes in containers, making it easy to install and use, and it can be applied off-the-shelf to arbitrary texts. We also provide an integrated tool for obtaining and converting all 34 corpora used in our evaluation, including fixed training, development and test splits to enable fair comparisons in the future. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Summary Named entity recognition (NER) is an important step in biomedical information extraction pipelines. Tools for NER should be easy to use, cover multiple entity types, be highly accurate and be robust toward variations in text genre and style. We present HunFlair , a NER tagger fulfilling these requirements. HunFlair is integrated into the widely used NLP framework Flair , recognizes five biomedical entity types, reaches or overcomes state-of-the-art performance on a wide set of evaluation corpora, and is trained in a cross-corpus setting to avoid corpus-specific bias. Technically, it uses a character-level language model pretrained on roughly 24 million biomedical abstracts and three million full texts. It outperforms other off-the-shelf biomedical NER tools with an average gain of 7.26 pp over the next best tool in a cross-corpus setting and achieves on-par results with state-of-the-art research prototypes in in-corpus experiments. HunFlair can be installed with a single command and is applied with only four lines of code. Furthermore, it is accompanied by harmonized versions of 23 biomedical NER corpora. Availability and implementation HunFlair ist freely available through the Flair NLP framework (https://github.com/flairNLP/flair) under an MIT license and is compatible with all major operating systems. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Astrometric and spectroscopic monitoring of individual stars orbiting the supermassive black hole in the Galactic Center offer a promising way to detect general relativistic effects. While low-order effects are expected to be detected following the periastron passage of S2 in Spring 2018, detecting higher order effects due to black hole spin will require the discovery of closer stars. In this paper, we set out to determine the requirements such a star would have to satisfy to allow the detection of black hole spin. We focus on the instrument GRAVITY, which saw first light in 2016 and which is expected to achieve astrometric accuracies |$10\hbox{--}100 \, \mu$| as. For an observing campaign with duration T years, total observations N obs, astrometric precision σ x , and normalized black hole spin χ, we find that |$a_{\rm orb}(1-e^2)^{3/4} \lesssim 300 R_{\rm S} \sqrt{\frac{T}{4\, {\rm {yr}}}} \left(\frac{N_{\rm obs}}{120}\right)^{0.25} \sqrt{\frac{10\, \mu {\rm as}}{\sigma _x}} \sqrt{\frac{\chi }{0.9}}$| is needed. For χ = 0.9 and a potential observing campaign with |$\sigma _x = 10 \, \mu$| as, 30 observations yr−1 and duration 4–10 yr, we expect ∼0.1 star with K  < 19 satisfying this constraint based on the current knowledge about the stellar population in the central 1 arcsec. We also propose a method through which GRAVITY could potentially measure radial velocities with precision ∼50 km s−1. If the astrometric precision can be maintained, adding radial velocity information increases the expected number of stars by roughly a factor of 2. While we focus on GRAVITY, the results can also be scaled to parameters relevant for future extremely large telescopes. [ABSTRACT FROM AUTHOR]

The G2 object has recently passed its pericentre passage in our Galactic Centre.While the Brγ emission shows clear signs of tidal interaction, the change in the observed luminosity is only of about a factor of 2, in contention with all previous predictions. We present high-resolution simulations performed with the moving mesh code, RICH, together with simple analytical arguments that reproduce the observed Brγ emission. In our model, G2 is a gas cloud that undergoes tidal disruption in a dilute ambient medium.We find that during pericentre passage, the efficient cooling of the cloud results in a vertical collapse, compressing the cloud by a factor of ∼5000. By properly taking into account the ionization state of the gas, we find that the cloud is UV starved and are able to reproduce the observed Brγ luminosity. For densities larger than ≈500 cm-3 at pericentre, the cloud fragments due to cooling instabilities and the emitted radiation is inconsistent with observations. For lower densities, the cloud survives the pericentre passage intact and its emitted radiation matches the observed light curve. From the duration of Brγ emission that contains both redshifted and blueshifted components, we show that the cloud is not spherical but rather elongated with a size ratio of 4 at year 2001. The simulated cloud's elongation grows as it travels towards pericentre and is consistent with observations, due to viewing angles. The simulation is also consistent with having a spherical shape at apocentre. [ABSTRACT FROM AUTHOR]

Motivation: Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined features which try to capture the specific surface properties of entity types, properties of the typical local context, background knowledge, and linguistic information. State-of-the-art tools are entity-specific, as dictionaries and empirically optimal feature sets differ between entity types, which makes their development costly. Furthermore, features are often optimized for a specific gold standard corpus, which makes extrapolation of quality measures difficult. Results: We show that a completely generic method based on deep learning and statistical word embeddings [called long short-term memory network-conditional random field (LSTM-CRF)] outperforms state-of-the-art entity-specific NER tools, and often by a large margin. To this end, we compared the performance of LSTM-CRF on 33 data sets covering five different entity classes with that of best-of-class NER tools and an entity-agnostic CRF implementation. On average, F1-score of LSTM-CRF is 5% above that of the baselines, mostly due to a sharp increase in recall. [ABSTRACT FROM AUTHOR]

A major drawback to the extension of NaOH-free olive debittering is its lengthy processing. In this research, the power ultrasound efficacy was investigated in a laboratory scale to accelerate this process. Olive fruits were sonicated in water or brine (15% NaCl). The effects of ultrasound-assisted debittering (UAD) were evaluated on olives physicochemical and textural properties in comparison with conventional debittering (CD). In UAD, however, the removal rate of phenolic compounds, which cause olives natural bitterness, increased significantly and as a result, the processing time decreased by 37.8% and 38.6% when debittering was done in water and brine, respectively. The chemical compositions, fatty acids profile, total color differences, Firmness and other textural parameters of UAD-treated samples remained unchanged and their antioxidant activity was significantly higher in comparison with CD-treated samples. Remarkably, UAD was able to speed up and promote NaOH-free olive debittering, without causing any undesirable changes. [ABSTRACT FROM AUTHOR]

Background: There is increasing evidence that visual impairment contribute to falling. The aim of this study was to determine the influence of vision impairment of old adult patients with cataract on the occurrence of falls and postural control. Methods: According to the results of screening ophthalmic examination, 48 cataract patients (mean±SD aged 68.5 ± 6.08 yrs.) and 50 individuals without any obvious eye disorders (mean age ± SD 70.7 ± 5.97 yrs.) were enrolled in this study. The postural control was determined using the clinical test of Sensory Interaction and Balance (CTSIB) and Timed up and Go (TUG) test. Results: The results of this study revealed that 18% (n = 9) of the normal individuals and 22.9% (n =11) of the cataract patients had at least two falls in the past 12 months. However, the result of chisquare test did not show any differences between the two groups (p= 0.36). The mean ± SD TUG times in cataract and control groups in our study were15.17 ± 3.58 and13.77 ± 4.90, respectively. However, no significant differences were found between the two groups (p= 0.12).The results of CTSIB test showed no significant differences between the two groups on standing on the floor with eyes open and eyes closed (p= 0.61, p= 0.89) and on standing on the foam with eyes open and eyes closed (p= 0.32, p= 0.74). Conclusion: According to the results of CTSIB and TUG tests, vision impairment of old adult patients with cataract is not associated with falls and balance disorders. Further work including assessment of postural control with advanced devices and considering other falls risk factors are also required to identify predictors of falls in cataract patients. [ABSTRACT FROM AUTHOR]

Recently, more than 100 Wolf-Rayet and OB stars were identified in the Galactic center. About a third of these sources are not spatially associated with any of the known star clusters in this region. We probe the distribution of drifted sources in numerical models of the massive clusters in the Galactic center and compare it to the observed distribution of isolated massive sources in this region. We find that stars as massive as 100 M? drift away from the center of each cluster by up to ~ 60 pc using the cluster models. Our best model reproduces ~ 60% of the known isolated massive stars out to 80 pc from the center of the Arches cluster. This number increases to 70-80% when we only consider the region that is ~ 20 pc from the Arches cluster. [ABSTRACT FROM AUTHOR]

Detection of adverse drug reactions (ADRs) in hospitals provides an important measure of the burden of drug related morbidity on the healthcare system. Spontaneous reporting of ADRs is scare and several obstacles to such reporting have been identified formerly. This study aimed to determine the role of clinical pharmacy residents in ADR reporting within a hospital setting. Clinical pharmacy residents were trained to report all suspected ADRs through ADR-reporting yellow cards. The incidence, pattern, seriousness, and preventability of the reported ADRs were analyzed. During the period of 12 months, for 8559 patients, 202 ADR reports were received. The most frequently reported reactions were due to anti-infective agents (38.38%). Rifampin accounted for the highest number of the reported ADRs among anti-infective agents. The gastro-intestinal system was the most frequently affected system (21.56%) of all reactions. Fifty four of the ADRs were reported as serious reactions. Eighteen of the ADRs were classified as preventable. Clinical pharmacy residents involvement in the ADR reporting program could improve the ADR reporting system. [ABSTRACT FROM AUTHOR]

Microbial fuel cells have recently received significant consideration from researchers worldwide as sustainable and futuristic energy due to their potential in converting energy from decomposition of natural organisms in waste to green electricity. Unfortunately, the difficulty of achieving high power due to poor extracellular electron transfer (EET) efficiency between microorganisms and the solid substrate, besides low bacterial loading capacity has limited their applications to date. Herein, iron/iron oxide (Fe@Fe 2 O 3) nanoparticles incorporated with nitrogen-doped carbon quantum dots (NCQDs) are synthesized via using an effective and simple electrodeposition technique. Fe@Fe 2 O 3 /NCQDs anode provides not only a high effective surface area for the adhesion of microbe's cells but also promotes favored electrical conductivity to facilitate EET from bacteria to the anode in the mixed culture-based MFCs. Considerably, at a steady-state of the electricity production, the MFC equipped with Fe@Fe 2 O 3 /NCQDs as activated anode delivers a maximum power density of 836 ± 8 mW/m2, which is 87% higher compared to instances when NCQDs (446 ± 11 mW/m2) is applied as anode electrocatalyst. This work opens a door toward an effective route to microbial anode electrode to produce sustainable green energy. [Display omitted] • Fe@Fe 2 O 3 incorporated with NCQDs was synthesized via using a simple electrodeposition technique. • Fe@Fe 2 O 3 /NCQDs anode promotes favored electrical conductivity to facilitate EET from bacteria to the anode. • Fe@Fe 2 O 3 renders superb biocompatibility with electroactive microorganisms. • The premiere performance of Fe@Fe 2 O 3 /NCQDs can be attributed to the lower internal resistance. [ABSTRACT FROM AUTHOR]

• A signal-off PDA@f-MWCNTs/TiO 2 NTs aptasensor was designed to detect aflatoxin B 1. • The label-free aptasensor presented outstanding reusability and specificity. • This aptasensor paves a new avenue for food contamination diagnostics. Aflatoxin B 1 is a potent liver toxin and easily accumulated in foodstuff and environment via the food chain, subjecting high hazards to human health. Rapid initial diagnosis is one of the most impressive monitoring procedures to overcome the potential hazards. Nevertheless, the classical approaches confront many limitations, like low specificity and sensitivity and complicated procedures. Herein, a photo-electrochemical aptasensor based on sensitized poly(dopamine)@functionalized multiwall carbon nanotube/titanium dioxide (PDA@f-MWCNTs/TiO 2 NTs) was designed to detect aflatoxin B 1 in real samples (e.g. groundnut and milk). The mentioned label-free biosensing platform not only needed simple operations but also presented outstanding reusability, storage stability, reproducibility, and specificity simultaneously. This suggested strategy could sensitively and selectively detect aflatoxin B 1 with dynamic range of 0.005–50 ng/mL and a low limit of detection 1 pg/mL. This procedure could provide the bright prospect for detection of aflatoxin B 1 residues in foodstuff. [ABSTRACT FROM AUTHOR]

Previous essays have presented possible concordance between obesity and colorectal polyp development. However, neither for the hypothesis nor for the details general consensus exists. This study aimed to evaluate the association between higher BMI rather than the normal and colorectal polyp presentation and characteristics if any., Methods: Eligible patients based on study criteria who were candidates for total colonoscopy examination enrolled in this case-controlled trial. Controls had normal colonoscopy reports. A positive colonoscopy for any kind of polyp was followed by a histopathological study. Demographic data also was registered, and patients were categorized according to the calculated BMI. Groups were matched by both gender and status of tobacco abuse. Finally, the outcomes of colonoscopy and histopathological studies were compared between groups., Results: A total of 141 and 125 persons investigated, respectively, as patients and controls. Possible effects of gender, tobacco abuse, and cigarette smoking were declined by participants matching. Hence, we found no significant difference between groups regarding the latter variables ( P >0.05). Colorectal polyps were found absolutely more in BMI>25 kg/m -2 rather than in lesser values ( P <0.001). However, there was no obvious difference in the incidence of colorectal polyps between groups categorized as overweight and obese ( P >0.05). Namely, even weighing over could be the risk for colorectal polyp development. Additionally, it was more expected to find neoplastic adenomatous polyp(s) with high-graded dysplasia in BMI>25 kg/m -2 ( P <0.001)., Conclusion: Even little changes in BMI further than the normal values can independently increase the risk of developing dysplastic adenomatous colorectal polyp(s) significantly., Competing Interests: The authors declared that they have no conflicts of interest., (© 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)