jimnoneill/paper-to-field-training huggingface dataset:
A novel ruthenium-silver based antimicrobial potentiates aminoglycoside activity against Pseudomonas aeruginosa

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

ABSTRACT The rapid dissemination of antibiotic resistance combined with the decline in the discovery of novel antibiotics represents a major challenge for infectious disease control that can only be mitigated by investments in novel treatment strategies. Alternative antimicrobials, including silver, have regained interest due to their diverse mechanisms of inhibiting microbial growth. One such example is AGXX, a broad-spectrum antimicrobial that produces highly cytotoxic reactive oxygen species (ROS) to inflict extensive macromolecular damage. Due to the connections identified between ROS production and antibiotic lethality, we hypothesized that AGXX could potentially increase the activity of conventional antibiotics. Using the gram-negative pathogen Pseudomonas aeruginosa , we screened possible synergistic effects of AGXX on several antibiotic classes. We found that the combination of AGXX and aminoglycosides tested at sublethal concentrations led to a rapid exponential decrease in bacterial survival and restored the sensitivity of a kanamycin-resistant strain. ROS production contributes significantly to the bactericidal effects of AGXX/aminoglycoside treatments, which is dependent on oxygen availability and can be reduced by the addition of ROS scavengers. Additionally, P. aeruginosa strains deficient in ROS detoxifying/repair genes were more susceptible to AGXX/aminoglycoside treatment. We further demonstrate that this synergistic interaction was associated with a significant increase in outer and inner membrane permeability, resulting in increased antibiotic influx. Our study also revealed that AGXX/aminoglycoside-mediated killing requires an active proton motive force across the bacterial membrane. Overall, our findings provide an understanding of cellular targets that could be inhibited to increase the activity of conventional antimicrobials. IMPORTANCE The emergence of drug-resistant bacteria coupled with the decline in antibiotic development highlights the need for novel alternatives. Thus, new strategies aimed at repurposing conventional antibiotics have gained significant interest. The necessity of these interventions is evident especially in gram-negative pathogens as they are particularly difficult to treat due to their outer membrane. This study highlights the effectiveness of the antimicrobial AGXX in potentiating aminoglycoside activities against P. aeruginosa . The combination of AGXX and aminoglycosides not only reduces bacterial survival rapidly but also significantly re-sensitizes aminoglycoside-resistant P. aeruginosa strains. In combination with gentamicin, AGXX induces increased endogenous oxidative stress, membrane damage, and iron-sulfur cluster disruption. These findings emphasize AGXX’s potential as a route of antibiotic adjuvant development and shed light on potential targets to enhance aminoglycoside activity.
Interference and control of sharppod morningglory (Ipomoea cordatotriloba dennstedt) in glyphosate-resistant cotton.

Field: Agricultural and Biological Sciences (Life Sciences)

Sharppod morningglory is a perennial vine commonly found infesting croplands in Texas and the southeastern United States. Previous research regarding morningglory competition and control primarily focused on annual Ipomoea. Interference, control, and herbicide translocation of sharppod morningglory could differ from that of other morningglories because of differences in growth and resource allocation. Therefore, field and laboratory experiments were conducted from 2001 to 2004 to: 1) determine the effects of seed-propagated and root-sprouted sharppod morningglory on cotton economic value, yield, harvest efficiency, and fiber quality; 2) evaluate sharppod morningglory control with cotton herbicides, and determine the effect of diuron rates on glyphosate absorption and translocation; and 3) assess the impact of cotton herbicide program and cotton-corn rotation on weed species composition over three years. \n A relatively large proportion of sharppod morningglory biomass was accumulated belowground during the first 8 wk of growth in the greenhouse. Consequently, up to 6 plants 10-m row-1 did not significantly reduce cotton lint yield. Sharppod morningglory density impacted color grade more than any other classification parameter. Through combined effects on yield and quality, cotton lint value was reduced by approximately 85% in the presence of 8 sharppod morningglory 10 m-1. Glyphosate alone did not completely control sharppod morningglory. The use of glufosinate, bromoxynil, or a combination of glyphosate plus diuron provided acceptable control. Sharppod morningglory absorbed up to 75% of glyphosate when applied alone, but most glyphosate was retained in treated leaves and did not translocate well. Diuron decreased absorption, increased leaf retention, and inhibited glyphosate translocation to roots. \n Rotation to corn and the use of preemergence herbicides in cotton improved control of grass and broadleaf weeds during the year of treatment. In the season following the 3-yr rotation, there were no lasting effects of crop rotation on density or control of grasses and broadleaves. However, hand-hoed and herbicide treated plots resulted in weed densities 2- to 3-fold lower than the untreated. Preemergence herbicides and/or crop rotation can reduce weed density and improve weed control, but these strategies must be employed long-term to reduce density of problematic weeds through depletion of the soil seedbank.
Investigation of covalent functionalized single-wall carbon nanotubes using surface-enhanced Raman scattering

Field: Chemistry (Physical Sciences)

Surface enhanced Raman spectroscopy (SERs) of functionalization HiPco single wall carbon nanotubes are performed. SWCNTs with covalently bonded amine groups were investigated using SERs assessing the impact of altering the electronic arrangement of the nanotube surface. The Raman frequencies of tangential, disorder modes and radial breathing modes have been used to make comparison between SWCNTs conjugated with Fluoresceinamine. Excitation of nanotube samples at wavelengths in resonance with both metallic and semiconductor nanotubes was undertaken.
A Wavier Polar Jet Stream Contributed to the Mid‐20th Century Winter Warming Hole in the United States

Field: Earth and Planetary Sciences (Physical Sciences)

Abstract Winter waves in the polar jet stream are associated with extreme cold outbreaks and can modulate longer‐term winter temperature trends in the mid‐latitudes. Recent research has highlighted a positive trend in jet stream waviness from 1990 to 2010, with a hypothesized connection to Arctic amplification of anthropogenic warming. However, an increase in jet stream waviness has also been hypothesized to contribute to the winter “warming hole” (WH) in eastern North America, a cooling phenomenon from 1958–1988, beginning several decades prior to the recent waviness trend. These potentially conflicting hypotheses highlight the uncertainty of long‐term jet stream waviness variability prior to the satellite era (1979–present). Here we develop a new record of wintertime jet stream waviness spanning 1901–2023 based on self‐organizing maps and nine different temperature and reanalysis data sets with the dual purpose of (a) understanding the historical variability of polar jet stream waviness in the eastern United States, and (b) quantifying the impact of jet stream waviness on WH‐era surface temperatures. Our analysis reveals elevated jet stream waviness in the 1960s–1980s that surpassed modern waviness levels, and we find that jet stream waviness contributed to two‐thirds of winter WH cooling beginning in 1958. These results are consistent with a strong connection between temperature trends in the eastern U.S. and jet stream troughing but indicate that additional mechanisms also contributed to the WH. Our analysis further highlights that recent increases in jet stream waviness are well within the range of early to mid‐20th century variability, prior to the emergence of Arctic amplification.
Real-world treatment patterns and opioid use in chronic low back pain patients initiating duloxetine versus standard of care

Field: Medicine (Health Sciences)

Jeffrey Scott Andrews,1 Ning Wu,2 Shih-Yin Chen,2 Xia Yu,2 Xiaomei Peng,1 Diego Novick1 1Global Health Outcomes, Eli Lilly and Company, Indianapolis, IN, USA; 2Evidera, Lexington, MA, USA Abstract: To describe the use of pain medications in patients with chronic low back pain (CLBP) after initiating duloxetine or standard of care (SOC [muscle relaxants, gabapentin, pregabalin, venlafaxine, and tricyclic antidepressants]) for pain management, pharmacy and medical claims from Surveillance Data, Inc (SDI) Health were analyzed. Adult patients with CLBP who initiated duloxetine or SOC between November 2010 and April 2011 were identified. Treatment initiation was defined as no pill coverage for duloxetine or SOC in the previous 90 days. Included patients had no opioid use in the 90 days before initiation. Propensity score matching was used to select patients with similar baseline demographic and clinical characteristics for duloxetine and SOC cohorts. Compliance with index medication was assessed via medication possession ratio (MPR) and proportion of days covered (PDC) for 6 months after initiation. The proportion of patients receiving opioids and days on opioids after index date were assessed, and regression models were estimated to compare opioid use between cohorts. A total of 766 patients initiated duloxetine and 6,206 patients initiated SOC. After matching, 743 patients were selected for the duloxetine (mean age 57 years; female 74%) and SOC (mean age 57 years; female 75%) cohorts, respectively. Of the duloxetine cohort, 92% started on or below recommended daily dose (≤60 mg). The duloxetine cohort had significantly higher MPR (0.78 versus [vs] 0.60) and PDC (0.50 vs 0.31), were less likely to use opioids (45% vs 61%), and had fewer days on opioids (median 0 vs 7 days) than the SOC cohort (all P < 0.001). After adjusting for demographic and clinical characteristics, the duloxetine cohort initiated opioids later than the SOC cohort (hazard ratio 0.77, 95% confidence interval 0.66–0.89). CLBP patients initiating duloxetine had better compliance with initiated medication and were less likely to use opioids than those initiating SOC. Keywords: medications, duloxetine, low back pain, opioid
Synthesis and Stereochemical Assignment of Conioidine A: DNA- and HSA-Binding Studies of the Four Diastereomers

Field: Chemistry (Physical Sciences)

Conioidine A (1), isolated in 1993 with unknown relative and absolute configuration, was suggested to be a DNA-binding compound by an indirect technique. Four stereoisomers of conioidine A have been synthesized from d- and l-proline, and the natural product has been identified as possessing (4R,6R) absolute configuration. Binding of the conioidine diastereomers to calf thymus DNA (CT DNA) and human serum albumin (HSA) has been investigated by fluorescence spectroscopy and isothermal titration calorimetry (ITC). All stereoisomers display at least an order of magnitude weaker binding to DNA than the control compound netropsin; however, a strong association with HSA was observed for the (4R,6S) stereoisomer.
HEAT-SET WHEY PROTEIN EMULSION GELS: ROLE OF ACTIVE AND INACTIVE FILLER PARTICLES

Field: Chemical Engineering (Physical Sciences)

Abstract Abstract Viscoelastic properties of heat-set whey protein emulsion gels containing active filler (protein-covered droplets) and inactive filler (surfactant-covered droplets) have been investigated at small and large deformations using a controlled stress rheometer. Data are reported as a function of protein concentration, oil volume fraction, and average emulsion droplet size. The active filler enhances the gel strength, whereas the inactive filler reduces the gel strength. The higher the elastic modulus of the protein gel matrix, the less the effect of the active filler, but the greater the effect of the inactive filler (and vice versa). Higher oil volume fraction and reduced particle size both intensify the effect of the filler. The large deformation behaviour of a heat-set protein gel or a heat-set emulsion gel containing up to 20 vol% oil is entropic in character, whereas an emulsion gel of higher filler content behaves more like a typical enthalpic particle gel.
Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System

Field: Environmental Science (Physical Sciences)

Climate change impacts and adaptations is subject to ongoing issues that attract the attention of many researchers. Insight into the wind power potential in an area and its probable variation due to climate change impacts can provide useful information for energy policymakers and strategists for sustainable development and management of the energy. In this study, spatial variation of wind power density at the turbine hub-height and its variability under future climatic scenarios are taken under consideration. An ANFIS based post-processing technique was employed to match the power outputs of the regional climate model with those obtained from the reference data. The near-surface wind data obtained from a regional climate model are employed to investigate climate change impacts on the wind power resources in the Caspian Sea. Subsequent to converting near-surface wind speed to turbine hub-height speed and computation of wind power density, the results have been investigated to reveal mean annual power, seasonal, and monthly variability for a 20-year period in the present (1981-2000) and in the future (2081-2100). The results of this study revealed that climate change does not affect the wind climate over the study area, remarkably. However, a small decrease was projected for future simulation revealing a slightly decrease in mean annual wind power in the future compared to historical simulations. Moreover, the results demonstrated strong variation in wind power in terms of temporal and spatial distribution when winter and summer have the highest values of power. The findings of this study indicated that the middle and northern parts of the Caspian Sea are placed with the highest values of wind power. However, the results of the post-processing technique using adaptive neuro-fuzzy inference system (ANFIS) model showed that the real potential of the wind power in the area is lower than those of projected from the regional climate model.
Evaluation of air quality and thermal comfort in classroom

Field: Environmental Science (Physical Sciences)

Abstract Air quality in the classroom can affect the health of students because students spend a lot of time in the classroom for learning activities. In addition to the air quality of healthy buildings, it is also related to thermal comfort. During the learning process, a comfortable learning interaction is needed, to make it easier for teachers to deliver learning materials. Therefore, this study evaluated the classrooms of SDN 10 Banda Aceh and SDN Kajhu Aceh Besar which were used as objects of research studies. This study uses a quantitative approach through measuring air quality parameters, namely CO2 (Carbon Dioxide), HCHO (Formaldehyde), and TVOC (Total Volatile Organic Compound) concentrations, while thermal comfort, namely air temperature, humidity, and wind speed using an air quality detector and hotwire anemometer. The level of air quality is evaluated based on MENKES/SK/2011 while thermal comfort is evaluated based on the Indonesian national standard SNI and adaptive thermal comfort. Based on the results of the research, the air quality in both schools still meets the MENKES/SK/2011 standard, while the level of thermal comfort in both schools is classified as uncomfortable according to SNI and adaptive thermal comfort.
Demovangelis - the Duty of 3 in 1

Field: Arts and Humanities (Social Sciences)

Demovangelis is one man. The Demon and The Savior. He lives in my town and walks around handing out cd's for free from a shoebox. He records everything one instrument on a time on a tascam portastudio with a built in cd burner. He often describes his music as progressive pop punk metal. There's no denying that guy has some musical talent. I'd say this is outsider music at its finest. There's talent here, there's also a hand full of crazy. Try to imagine if Iron Maiden wrote all their songs with drum machines and keyboards and then laid down some wicked guitar solos...and wrote a lot about Christian themes. Unfortunately I cannot find the liner notes he handed out with the album. I'll post them when I do, because they were interesting.
[Separation of osteoclasts by lectin affinity chromatography].

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Newborn rat calvaria bone cells obtained by digestion were fractionated on columns of wheat-germ agglutinin (WGA) sepharose 6MB for osteoclast isolation. The initial nonspecific binding cells which were passed through the WGA sepharose column by a buffer acquired a high enzyme activity of alkaline phosphatase, but not that of acid phosphatase. However, elution of cells using a buffer with the addition of N-acetyl-D-glucosamine resulted in a high acid phosphatase activity but no alkaline phosphatase activity. The former WGA binding negative fraction enriched osteoblasts averaging 30 microns in size. The latter WGA binding positive fraction enriched osteoclasts ranging from 20 microns to 60 microns in size. The electron-microscope clearly demonstrated the cellular details of osteoclasts. Isolated cell counts showed a ratio of six to four. These results indicate that our method of osteoclast isolation is simple and useful in lectin affinity chromatography because all cells have sugar moieties on their surface and the binding of osteoclasts can be reversed by the addition of specific lectin-binding sugars to the eluting buffer.
Conceptualizing the Complexity of Change in Psychotherapy: The Case of "Cora"

Field: Psychology (Social Sciences)

In this article we respond to the commentaries by Altman and Miller (2016), Bohart (2016), and Timulak and Keogh (2016) on our case of “Cora,” which involved over 121 psychotherapy sessions with a client with a history of severe relational trauma that had led to difficulty in forming close relationships, as well as a series of suicide attempts (Halvorsen, Benum, Haavind, & McLeod, 2016). The commentaries differ in their view of the value of Cora’s case, interpretations of the material, and methodological preferences. Together the commentaries illustrate the complexity of change in psychotherapy, how we need multifaceted approaches to understand change, and the challenges in writing up a case in this context. We call for further dialogue within the psychotherapy research community around the nature and implications of methodological choices arising from the conduct of case study research in this field.
Data analysis for surface plate calibration

Field: Mathematics (Physical Sciences)

A surface plate is used to establish a reference plane used for making precision dimensional measurements. Ideally, the surface should be perfectly flat. Since it is impossible to create a perfectly flat surface, surface plate are calibrated to determine how much they deviate from a perfectly flat surface. Once a surface plate is calibrated, the user can determine if the plate is flat enough for use in a particular application. The currently accepted method of data analysis for surface plate calibration, the Moody method, does not give optimum results because of the arbitrary way in which the reference plane is chosen. The exact solution, wherein the reference plane is located in the optimum position, has been worked out and is given in a step by step procedure along with all of the necessary equations. The amount of calculation involved in a typical example proved to be prohibitive even for a computer, so an alternate solution using a least squares criterion for locating the reference plane was developed. Results were comparable with those from Moody`s method with values being smaller or greater depending on the shape of the plate.
Comparative study on mode split discrete choice models

Field: Decision Sciences (Social Sciences)

Discrete choice model acts as one of the most important tools for studies involving mode split in the context of transport demand forecast. As different types of discrete choice models display their merits and restrictions diversely, how to properly select the specific type among discrete choice models for realistic application still remains to be a tough problem. In this article, five typical discrete choice models for transport mode split are, respectively, discussed, which includes multinomial logit model, nested logit model (NL), heteroscedastic extreme value model, multinominal probit model and mixed multinomial logit model (MMNL). The theoretical basis and application attributes of these five models are especially analysed with great attention, and they are also applied to a realistic intercity case of mode split forecast, which results indicating that NL model does well in accommodating similarity and heterogeneity across alternatives, while MMNL model serves as the most effective method for mode choice prediction since it shows the highest reliability with the least significant prediction errors and even outperforms the other four models in solving the heterogeneity and similarity problems. This study indicates that conclusions derived from a single discrete choice model are not reliable, and it is better to choose the proper model based on its characteristics.
Reinforcement Learning-Based Dynamic Optimization of Driving Waveforms for Inkjet Printing of Viscoelastic Fluids

Field: Computer Science (Physical Sciences)

In digital printing, the design and optimization of a driving waveform for piezoelectric printheads are critical for the precise patterning of functional materials. This study introduces an approach using a deep reinforcement learning (DRL) algorithm to dynamically control the waveform for functional inks, which vary in properties with environmental conditions. We developed a prediction model using a multilayer perceptron algorithm that accurately forecasts drop velocity and jetting morphology based on the ink's rheological properties and waveform parameters. Integrating this model into a DRL framework, we achieved precise control over the waveform, attaining a target drop velocity of 3 ms-1 for quantum dot ink within 20 steps. Further, we implemented the trained DRL agent into a drop-watching system, enabling real-time waveform adjustment to maintain optimal jetting despite changes in ink properties due to temperature variations. Our results demonstrate the significant potential of machine learning for improving precision and adaptability of industrial inkjet printing processes.
Cucurbituril‐Encapsulating Metal–Organic Framework via Mechanochemistry: Adsorbents with Enhanced Performance

Field: Chemistry (Physical Sciences)

Abstract The first examples of monolithic crystalline host–guest hybrid materials are described. The reaction of 1,3,5‐benzenetricarboxylic acid (H 3 BTC) and Fe(NO 3 ) 3 ⋅9 H 2 O in the presence of decamethylcucurbit[5]uril ammonium chloride (MC5⋅2 NH 4 Cl⋅4 H 2 O) directly affords MC5@MIL‐100(Fe) hybrid monoliths featuring hierarchical micro‐, meso‐ and macropores. Particularly, this “bottle‐around‐ship” synthesis and one‐pot shaping are facilitated by a newly discovered Fe‐MC5 flowing gel formed by mechanochemistry. The designed MC5@MIL‐100(Fe) hybrid material with MC5 as active domains shows enhanced CH 4 and lead(II) uptake performance, and selective capture of lead(II) cations at low concentrations. This shows that host–guest hybrid materials can exhibit synergic properties that out‐perform materials based on individual components.