syedzayyan/paper_mill_benchmark huggingface dataset:
Evaluation of Anterior Segment Changes of Patients Taking Alpha1-Blockers by Ultrasound Biomicroscopy in the Drug-free Period.

S to evaluate and compare anterior segment changes in patients taking alpha-1 (α1) blockers (tamsulosin, terazosin, doxazosin, alfuzosin) for benign prostatic hypertrophy, during drug intake and drug-free period, using ultrasound biomicroscopy (ubm).Materials and methods in this prospective study, ubm was done before and after pupil dilatation in 31 phakic eyes of 19 male patients taking α1-blockers.Undilated and dilated ubm was repeated before cataract extraction, after stopping the drug for 10 days.On ideal images, pupil diameter (pd), anterior chamber depth (acd), anterior chamber angle (aca), and angle opening distances at points 500 μm and 250 μm from the scleral spur (aod500 and aod250) values were noted and changes in parameters were evaluated to reveal any changes that occurred after discontinuing the drug.No patient in the study was previously or currently using any other α1-adrenergic antagonist medication.Exclusion criteria for all patients included a history of diabetes mellitus, systemic hypertension, glaucoma, pseudoexfoliation syndrome, chronic use of medicated eye drops, and previous ocular surgery.Results pd, acd, aca, aod500 and aod250 values measured before pupil dilatation in the drug-free period were not significantly different from those measured during α-blocker intake (p>0.05).In dilated eyes, the mean value of aod500 was 0.35±0.08 mm during drug usage and 0.39±0.08 mm in the drug-free period.The mean value of aod250 was 0.23±0.06 mm during drug usage and 0.26±0.07 mm after discontinuation.These increments were statistically significant (p 0.05).Conclusion the interruption of taking α1-blockers in patients who have benign prostatic hypertrophy does not seem to influence anterior segment parameters generally.However, further investigation is needed.

Journal: Turkish journal of ophthalmology (2017)
Publication types: Journal Article
The short-term effects of COVID-19 outbreak on dietary diversity and food security status of Iranian households (A case study in Tehran province).

Currently, the covid-19 outbreak is spreading fast in 185 countries and has engaged most people around the world.Covid-19 imposes severe and tragic consequences on people's health due to the high rate of spread and potentially fatal impacts.In this study, the association of socio-economic factors with food security and dietary diversity is assessed before and during the covid-19 pandemic.Data from 299 respondents were collected by an online standard questionnaire.Household dietary diversity score (hdds) and household food insecurity access scale (hfias) were calculated.A multinomial regression model was applied to determine factors associated with hdds and hfias before and during covid-19 outbreak.Food security of iranian households improved during the initial covid-19 pandemic period (p < 0.001).Households reduced consumption of some food groups during the covid-19 pandemic compared to the pre-covid-19 period.Key socio-economic factors associated with food insecurity during the covid-19 pandemic included personal savings, household income, employment status of head of household, and nutrition knowledge of head of household.During the covid-19 outbreak, household size, head of household's occupation, personal savings, and number of male children were significantly associated with dietary diversity.Distributing free food baskets to poor households, extending e-marketing, providing nutrition consultations, and organizing donations to support infected households may increase household dietary diversity and improve food security status during a pandemic such as covid-19.Vulnerable populations in countries experiencing food insecurity, such as iran, should be supported - not just by providing medical care and personal protective equipment, but also with flexible safety nets and food-based intervention programs to respond to population needs.

Journal: Journal of cleaner production (2021)
Publication types: Journal Article
Spatial and temporal expansion of global wildland fire activity in response to climate change.

Global warming is expected to alter wildfire potential and fire season severity, but the magnitude and location of change is still unclear.Here, we show that climate largely determines present fire-prone regions and their fire season.We categorize these regions according to the climatic characteristics of their fire season into four classes, within general boreal, temperate, tropical and arid climate zones.Based on climate model projections, we assess the modification of the fire-prone regions in extent and fire season length at the end of the 21st century.We find that due to global warming, the global area with frequent fire-prone conditions would increase by 29%, mostly in boreal (+111%) and temperate (+25%) zones, where there may also be a significant lengthening of the potential fire season.Our estimates of the global expansion of fire-prone areas highlight the large but uneven impact of a warming climate on earth's environment.

Journal: Nature communications (2022)
Publication types: Journal Article;Research Support, Non-U.S. Gov't
Improvement of Emotional Response to Negative Stimulations With Moderate-Intensity Physical Exercise.

It is widely accepted that physical exercises (pes) not only are good for fitness but also contribute to mental health and well-being.The positive influence of pes on emotion has become a topic of much excitement.However, a quantitative study is required to discuss the effect of short-term moderate-intensity pe on the emotional response by using electroencephalogram (eeg) asymmetry.The experiments, including 20-min moderate-intensity cycling and eeg data acquisition with picture-induced emotion assessment protocol, were designed in this paper.The experiment procedure consists of two emotion assessment sessions, each of which contains 24 pictures.About 80 participants were randomly allocated into the exercise group and the control group.Participants in the exercise group were instructed to have a 20-min moderate-intensity cycling after the first assessment session, then rested until their heart rates recovered to baselines and their emotional states were assessed again in the second session.The control group only had a 20-min break without the cycling exercise between the two sessions.It was observed that, in the control group, the eeg asymmetry had no significant difference in these two assessment sessions for both positive and negative stimulations.However, in the exercise group, the difference of the eeg asymmetry before and after pe was significant only in response to negative stimulations.Further, the in-depth analysis of eeg asymmetry index changes of individual participants shows that the short-term moderate-intensity pe has a positive impact in response to negative stimulations.The proposed experiments show that the negative emotional experience can be reduced by the moderate-intensity pe and support the hypothesis that the moderate-intensity pe is good at improving emotional response to negative stimulations.This study provides the evidence of positive effects of pe in the domain of emotion regulation with experimental data.

Journal: Frontiers in psychology (2021)
Publication types: Journal Article
Investigation on Mechanical, Biocorrosion, and Biocompatibility Behavior of HAp-Assisted Sr-Based Mg Composites.

Numerous biodegradable mg-based biomaterials have been developed in recent years because of their outstanding biocompatibility, biodegradation, and mechanical properties.The mg-based composite is an appropriate candidate for orthopedic implants, such as supporting the fractured bone due to its superb biocompatibility and biodegradation properties.In the present work, a mg-based biomaterial is developed by incorporating low wt % of alloying elements such as zn, ca, mn, and sr and ceramic powders such as hap to improve the biocompatibility and biodegradebility and strengthen the mechanical properties.In this study, the mg-4zn-3ca-1hap-0.5mn and mg-4zn-2.9ca-1hap-0.5mn-0.1sr composites are prepared, and the mechanical, microstructure, and in vitro degradation behavior of these composites are studied.The mg-4zn-2.9ca-1hap-0.5mn-0.1sr composite has good mechanical properties and a low uniform in vitro degradation rate (0.587 mm/year).From the dynamic mechanical analysis, it is found that the composites have better damping characteristics than the pure mg.The composites are chosen for further evaluation.All the composites show no cytotoxicity to mg63 cells.The composite having sr with pva/zr o2coating showed the highest cell viability.On the basis of the above observation, the viability of the mg-4zn-3ca-1hap-0.5mn and mg-4zn-2.9ca-1hap-0.5mn-0.1sr composites is discussed systematically for the use as an orthopedic implant.This investigation delivers a new idea for the evolution of a high-performance sr-based mg composite having excellent mechanical and corrosion properties while successfully reducing the cytotoxicity effect.

Journal: ACS applied bio materials (2022)
Publication types: Journal Article;Research Support, Non-U.S. Gov't
Machine Learning Approach to Predict the Surface Charge Density of Monodispersed Particles in Gas-Solid Fluidized Beds.

Gas-solid fluidized beds are complex particle systems, and the electrostatic behavior of particles in fluidized beds is even more complex, which is influenced by numerous factors such as particle properties and operating conditions.Current studies focus on the effect of a certain factor on particle charging without a global picture.Furthermore, there is no mathematical model that can describe the interaction of multiple factors on particle charging because it is difficult to build a model for such a complex system.Therefore, a new approach is needed.In this study, a model capable of accurately predicting the surface charge density of particles in monodispersed gas-solid fluidized beds within a certain range was developed based on the literature and experimental data through several machine learning methods including kernel ridge regression (krr), support vector machine regression (svr), and multilayer perceptron (mlp).Svr and mlp models gave the best results with r2equal to 0.980 and 0.979, respectively.However, the sensitivity analysis showed that the mlp model was more reliable than the svr model.In conclusion, the feasibility of using machine learning to analyze the charging behavior of particles in fluidized beds is demonstrated, and the proposed mlp model can serve as an accurate correlative tool for fast and effective estimation of particle surface charge density in gas-solid fluidized beds.

Journal: ACS omega (2022)
Publication types: Journal Article
A Critical Analysis of Intestinal Enteric Neuron Loss and Constipation in Parkinson's Disease.

Constipation afflicts many patients with parkinson's disease (pd) and significantly impacts on patient quality of life.Pd-related constipation is caused by intestinal dysfunction, but the etiology of this dysfunction in patients is unknown.One possible cause is neuron loss within the enteric nervous system (ens) of the intestine.This review aims to 1) critically evaluate the evidence for and against intestinal enteric neuron loss in pd patients, 2) justify why pd-related constipation must be objectively measured, 3) explore the potential link between loss of enteric neurons in the intestine and constipation in pd, 4) provide potential explanations for disparities in the literature, and 5) outline data and study design considerations to improve future research.Before the connection between intestinal enteric neuron loss and pd-related constipation can be confidently described, future research must use sufficiently large samples representative of the patient population (majority diagnosed with idiopathic pd for at least 5 years), implement a consistent neuronal quantification method and study design, including standardized patient recruitment criteria, objectively quantify intestinal dysfunctions, publish with a high degree of data transparency and account for potential pd heterogeneity.Further investigation into other potential influencers of pd-related constipation is also required, including changes in the function, connectivity, mitochondria and/or α-synuclein proteins of enteric neurons and their extrinsic innervation.The connection between enteric neuron loss and other pd-related gastrointestinal (gi) issues, including gastroparesis and dysphagia, as well as changes in nutrient absorption and the microbiome, should be explored in future research.

Journal: Journal of Parkinson's disease (2022)
Publication types: Journal Article;Review;Research Support, Non-U.S. Gov't
Machine Learning of Motion Statistics Reveals the Kinematic Signature of the Identity of a Person in Sign Language.

Sign language (sl) motion contains information about the identity of a signer, as does voice for a speaker or gait for a walker.However, how such information is encoded in the movements of a person remains unclear.In the present study, a machine learning model was trained to extract the motion features allowing for the automatic identification of signers.A motion capture (mocap) system recorded six signers during the spontaneous production of french sign language (lsf) discourses.A principal component analysis (pca) was applied to time-averaged statistics of the mocap data.A linear classifier then managed to identify the signers from a reduced set of principal components (pcs).The performance of the model was not affected when information about the size and shape of the signers were normalized.Posture normalization decreased the performance of the model, which nevertheless remained over five times superior to chance level.These findings demonstrate that the identity of a signer can be characterized by specific statistics of kinematic features, beyond information related to size, shape, and posture.This is a first step toward determining the motion descriptors necessary to account for the human ability to identify signers.

Journal: Frontiers in bioengineering and biotechnology (2021)
Publication types: Journal Article
Charge Delocalization and Vibronic Couplings in Quadrupolar Squaraine Dyes.

Squaraines are prototypical quadrupolar charge-transfer chromophores that have recently attracted much attention as building blocks for solution-processed photovoltaics, fluorescent probes with large two-photon absorption cross sections, and aggregates with large circular dichroism.Their optical properties are often rationalized in terms of phenomenological essential state models, considering the coupling of two zwitterionic excited states to a neutral ground state.As a result, optical transitions to the lowest s1 excited state are one-photon allowed, whereas the next higher s2 state can only be accessed by two-photon transitions.A further implication of these models is a substantial reduction of vibronic coupling to the ubiquitous high-frequency vinyl-stretching modes of organic materials.Here, we combine time-resolved vibrational spectroscopy, two-dimensional electronic spectroscopy, and quantum-chemical simulations to test and rationalize these predictions for nonaggregated molecules.We find small huang-rhys factors below 0.01 for the high-frequency, 1500 cm-1modes in particular, as well as a noticeable reduction for those of lower frequency modes in general for the electronic s0 → s1 transition.The two-photon allowed state s2 is well separated energetically from s1 and has weak vibronic signatures as well.Thus, the resulting pronounced concentration of the oscillator strength in a narrow region relevant to the lowest electronic transition makes squaraines and their aggregates exceptionally interesting for strong and ultrastrong coupling of excitons to localized light modes in external resonators with chiral properties that can largely be controlled by the molecular architecture.

Journal: Journal of the American Chemical Society (2022)
Publication types: Journal Article
Socioeconomic inequalities in colorectal cancer incidence in Canada: trends over two decades.

Colorectal cancer is the third most commonly diagnosed cancer in canada.This study aimed to measure and examine trends in socioeconomic inequalities in the incidence of colorectal cancer in canada.Methods this study is a time trend ecological study based on canadian census division level data constructed from the canadian cancer registry, canadian census of population, and national household survey.We assessed trends in income and education inequalities in colorectal cancer incidence in canada from 1992 to 2010.The age-standardized concentration index ([formula: see text]), which measures inequality across all socioeconomic groups, was used to quantify socioeconomic inequalities in colorectal cancer incidence in canada.Results the average crude colorectal cancer incidence was found to be 61.52 per 100,000 population over the study period, with males having a higher incidence rate than females (males: 66.98; females: 56.25 per 100,000 population).The crude incidence increased over time and varied by province.The age-standardized c indicated a higher concentration of colorectal cancer incidence among lower income and less-educated neighborhoods in canada.Income and education inequalities increased over time among males.Conclusion the concentration of colorectal cancer incidence in low socioeconomic neighborhoods in canada has implications for primary prevention and screening.

Journal: Cancer causes & control : CCC (2022)
Publication types: Journal Article
Large-scale climate variability controls on climate, vegetation coverage, lake and groundwater storage in the Lake Urmia watershed using SSA and wavelet analysis.

Lake urmia has shrunk by 88% since 1995 and is an outstanding example of an environmental tragedy in the middle east, and the lake plays a critical role in the environment, economics, and society in the north-western part of iran.It has been hypothesized that the drying of lake urmia has caused by climate variation and a climate-derived increase in droughts.Therefore, it is necessary to understand the teleconnections between the interannual to multidecadal climate variability and lake urmia because of the tangible implications for water resource management and policy decisions in the region.In this study, we use singular spectrum analysis (ssa), wavelet coherence analysis, and lag correlation calculations to analyze and quantify the impacts of the el niño southern oscillation (enso), north atlantic oscillation (nao), pacific decadal oscillation (pdo), and atlantic multidecadal oscillation (amo) on hydro-climate variables of precipitation, temperature, lake level, groundwater fluctuations, soil moisture, vegetation coverage, and insolation clearness index in the lake urmia watershed.Overall, the results indicate that climate oscillations attributed to the pacific ocean (i.e., enso and pdo) have a more powerful influence than atlantic ocean oscillations (nao and amo) on the variability in the water level of lake urmia as well as on other hydro-climate variables, except for temperature that appears influenced by the atlantic ocean oscillations, particularly amo.Pdo is the first dominant mode of variability in all the hydro-climate variables (63.46% on average), except for the temperature.Overall, the wavelet coherence analysis findings indicate relatively greater pdo influence than enso on variability in the precipitation, soil moisture, vegetation coverage, and insolation clearness index.Furthermore, hydro-climate variables in the area have a relatively highest statistical correlation with pdo (0.69 on average, ranging from 0.54 to 0.78) compared to enso, nao, and amo.Moreover, a moderate coherence between pdo and the groundwater levels in most adjacent aquifers has occurred at the >8-year period from ~1980 to 2015.In general, the hydro-climate variables statistically have a weak lag correlation with nao (0.19 on average, ranging from 0.13 to 0.24).Amo comprises the first mode variability in temperature (71.77%), and its coherence with temperature is moderate (~0.5) at >16-year period for the time earlier than 2000.The lag correlation between amo and temperature (0.66) is relatively near strong.These findings have important implications for decision-makers and scientists to improve water resources planning and operations in lake urmia under future climate uncertainty.

Journal: The Science of the total environment (2020)
Publication types: Journal Article
Co-cultivation of T. asperellum GDFS1009 and B. amyloliquefaciens 1841: Strategy to regulate the production of ligno-cellulolytic enzymes for the lignocellulose biomass degradation.

The influence of fossil fuels on the environment focused on the development of new technology on biofuels.In this situation, lignocellulolytic hydrolysis enzymes such as cellobiohydrolase, β-glucosidase, endoglucanase, cellulase and xylanase have broad applications in the biofuel production.The trichoderma have used for the production of cellulase and xylanase to hydrolyze the lignocellulose.Hence, in the present study, co-culture has been employed to induce the production of polysaccharide hydrolyzing enzymes under both induction and repression conditions.The enzyme activity and its gene expression were induced by the co-culture of t.Asperellum and b.Amyloliquefaciens compared to the monoculture.Further, the co-culture upregulated the transcription regulatory genes and downregulated the repressor genes under both repressor and inducer conditions, respectively.The crude enzyme produced by the co-culture and monocultures using the optimized medium containing molasses, cornmeal and rice bran were further used to hydrolyze the pretreated corn stover, rice straw, and wheat straw.These results indicate that the co-culture of t.Asperellum and b.Amyloliquefaciens is a promising and inexpensive method to advance the innovation on the continuous production of cellulase and xylanase under different circumstances for the bioconversion of lignocellulosic biomass into glucose for the bio-fuels.

Journal: Journal of environmental management (2022)
Publication types: Journal Article
Considerations for extracellular vesicle and lipoprotein interactions in cell culture assays.

With an exponential increase in extracellular vesicle (ev) studies in the past decade, focus has been placed on standardization of experimental design to ensure inter-study comparisons and validity of conclusions.In the case of in vitro assays, the composition of cell culture media is important to consider for ev studies.In particular, levels of lipoproteins, which are critical components of the interstitial fluid, should be taken into consideration.Results from this study reveal that lipoprotein levels in cell culture medium impact the effects that evs have on recipient cells.Additionally, evidence of ev binding and fusion to lipoprotein-like structures in plasma is provided.However, it is unclear whether the impact of lipoproteins in cell culture is due to direct interactions with evs, indirect effects, or a combination of both mechanisms.Taken together, cell culture studies performed in the absence of physiological levels of lipoproteins are unlikely to reflect interactions that occur between evs and recipient cells in an in vivo environment.

Journal: Journal of extracellular vesicles (2022)
Publication types: Letter;Research Support, Non-U.S. Gov't;Research Support, N.I.H., Extramural