jimnoneill/paper-to-field-training huggingface dataset:
In-vitro susceptibility of β-lactamase-producing Haemophilus influenzae to the combinations ampicillin with mecillinam and ampitillin with VD2085

Field: Immunology and Microbiology (Life Sciences)

Journal Article In-vitro susceptibility of β-lactamase-producing Haemophilus influenzae to the combinations ampicillin with mecillinam and ampitillin with VD2085 Get access PETER PIOT, PETER PIOT Department of Microbiology, Institute of Tropical MedicineB-2000 Antwerp, Belgium Search for other works by this author on: Oxford Academic PubMed Google Scholar EDDY VAN DYCK EDDY VAN DYCK Department of Microbiology, Institute of Tropical MedicineB-2000 Antwerp, Belgium Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Antimicrobial Chemotherapy, Volume 16, Issue 6, December 1986, Page 808, https://doi.org/10.1093/jac/16.6.808 Published: 01 December 1986
The use of wastes of plant processing in the production of mixed fodders-starters for young cattle

Field: Agricultural and Biological Sciences (Life Sciences)

The main purpose of feeding is to supply cattle with nutrients vitally important for their growth. At present to reduce dairy products used for calve feeding the farmers use substitutes for whole milk and mixed fodders-starters which help the animals to get used to plant food and to improve the work of gastrointestinal tract. The article gives the results of the comparative analysis of mixed fodders-starters, produced by various countries that are used for feeding of young cattle. The article considers the assessment of their nutrition value according to main indexes and characteristics on compliance with the requirements of domestic technical documentation. It has been established that present recipes of mixed fodder are lack of a variety of components among which are such wastes of plant processing as oilcake, oilmeal and molasses. Thus the article describes the feeding advantages of frequently met ingredients which make their use for young cattle more advisable. Besides the article shows disadvantages which limit the use and the ways to eliminate them. Thus, the use of the wastes of plant processing in mixed-fodders-starters produces positive effect on the growth indexes and young cattle development, reduces costs of fodders per unit of production and increases economic efficiency of their breeding.
Economic Projections and Econometric Modelling: Recent Developments at the Bank of Canada

Field: Economics, Econometrics and Finance (Social Sciences)

This Technical Report describes some new techniques for making economic projections that have been suggested for use by the staff of the Bank of Canada. The procedures enable the staff to combine information from a newly developed econometric model of the Canadian economy with judgmental input from various sectoral specialists, an approach which recognizes the fact that an econometric model cannot fully reflect the variety of changing influences affecting the Canadian economy at any given time. The Bank of Canada's new model, RDXF, and its associated computer software have been jointly designed to facilitate the timely provision of a range of alternative projections conditional on explicit assumptions about policy and other exogenous variables. The main aspects of the model and the software are summarized in the earlier parts of this report. The structure and dynamics of RDXF will be analyzed in more detail in Bank of Canada Technical Reports 25 and 26 soon to be forthcoming. This report concludes with a description of the administrative procedures followed in the course of making economic projections and highlights the contributions made by the various sectoral specialists and the Bank's projection-coordination group.
The Influence Of Transformational Leadership Style and Compensation On Employee Performance With Job Satisfaction as An Intervening Variable at The Bandung Marine Geological Survey and Mapping Center

Field: Business, Management and Accounting (Social Sciences)

This research aims to analyze the influence of Transformational Leadership Style and compensation on employee performance with Job Satisfaction as an Intervening Variable at the Center for Geological and Marine Mapping Surveys. The subjects in this research were ASN employees at the Center for Geological and Marine Mapping Surveys. In this study, the sample consisted of 156 respondents obtained through the purposive sampling method. The analysis tool used is the Structural Equation Model (SEM) via AMOS software. Based on the analysis that has been carried out, the results show that the BBSPGL Transformational Leadership Style has a positive and significant influence on the performance of BBSPGL employees. compensation at BBSPGL has a positive and significant influence on BBSPGL Job Satisfaction. However, the Transformational Leadership Style at BBSPGL has a positive but not significant influence on Job Satisfaction. Job satisfaction at BBSPGL has a positive and insignificant influence on employee performance. compensation at BBSPGL has a negative and insignificant influence on employee performance. However, job satisfaction fully mediates the influence of compensation on employee performance at BBSPGL. Job satisfaction does not mediate the influence of Transformational Leadership Style on Employee Performance at BBSPGL.
Here, There and Elsewhere: The Making of Immigrant Identities in a Globalized World, Tahseen Shams (2020)

Field: Social Sciences (Social Sciences)

Review of: Here, There and Elsewhere: The Making of Immigrant Identities in a Globalized World , Tahseen Shams (2020) Stanford, CA: Stanford University Press, 264 pp., ISBN 978-1-50361-069-9, h/bk, $90; ISBN 978-1-50361-283-9, p/bk, $28
ALTCALC : Electronic Altitude and Distance Calculating Device

Field: Engineering (Physical Sciences)

Altitude measurement in fields, forestry and engineering remain essential but still conventional methods of altitude measurement remain challenging. Present altitude measurement methods include height poles for trees and photogrammetric instruments. Both methods remain arduous as either process is both time and money consuming or susceptible to large parallax errors. In this innovative work an altitude and distance calculating device out of potentiometers based on trigonometry was developed. A laser diode was attached to a potentiometer, and the other components were soldered together in a circuit board. Device accuracy and precision was determined. User satisfaction survey was also noted. For the altimeter testing, the lasers were pointed at the top of the object and the device was placed at a 1-meter distance from the base of the object. The device was set to measure different heights from 0.5 m to 2.5m. For the distance sensor, the lasers were pointed at a 1-meter height and the device was set to measure different distances from 0.5m to 2.5m. Three replicates for each trial were performed and device readings were then compared to actual measurements to determine accuracy. Standard deviations of reading were then computed to determine precision. Net Promoter Score was used in order to assess external evaluator feedback. An Arduino based altimeter and distance sensor was successfully fabricated with 94.2 percent degree of accuracy and 95.4 percent precision for height measurement. For the distance sensor, a 91.4% accuracy, and 95.4% precision was determined. The device garnered a net promoter score of 66%.
Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset

Field: Computer Science (Physical Sciences)

Speech Emotion Recognition (SER) refers to the use of machines to recognize the emotions of a speaker from his (or her) speech. SER benefits Human-Computer Interaction(HCI). But there are still many problems in SER research, e.g., the lack of high-quality data, insufficient model accuracy, little research under noisy environments, etc. In this paper, we proposed a method called Head Fusion based on the multi-head attention mechanism to improve the accuracy of SER. We implemented an attention-based convolutional neural network(ACNN) model and conducted experiments on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) data set. The accuracy is improved to 76.18% (weighted accuracy, WA) and 76.36% (unweighted accuracy, UA). To the best of our knowledge, compared with the state-of-the-art result on this dataset (76.4% of WA and 70.1% of WA), we achieved a UA improvement of about 6% absolute while achieving a similar WA. Furthermore, We conducted empirical experiments by injecting speech data with 50 types of common noises. We inject the noises by altering the noise intensity, time-shifting the noises, and mixing different noise types, to identify their varied impacts on the SER accuracy and verify the robustness of our model. This work will also help researchers and engineers properly add their training data by using speech data with the appropriate types of noises to alleviate the problem of insufficient high-quality data.
Control and Synchronization of New Hyperchaotic System using Active Backstepping Design

Field: Computer Science (Physical Sciences)

In this paper, an active backstepping design is proposed to achieve control and synchronization of a new hyperchaotic system. The proposed method is a systematic design approach and exists in a recursive procedure that interlaces the choice of a Lyapunov function with the design of the active control. The proposed controller enables stabilization of chaotic motion to the origin as well as synchronization of the two identical new hyperchaotic systems. Numerical simulations illustrate the validity of the proposed control technique.
Predefined vs data‐guided training prescription based on autonomic nervous system variation: A systematic review

Field: Medicine (Health Sciences)

Monitoring variations in the functioning of the autonomic nervous system may help personalize training of runners and provide more pronounced physiological adaptations and performance improvements. We systematically reviewed the scientific literature comparing physiological adaptations and/or improvements in performance following training based on responses of the autonomic nervous system (ie, changes in heart rate variability) and predefined training. PubMed, SPORTDiscus, and Web of Science were searched systematically in July 2019. Keywords related to endurance, running, autonomic nervous system, and training. Studies were included if they (a) involved interventions consisting predominantly of running training; (b) lasted at least 3 weeks; (c) reported pre‐ and post‐intervention assessment of running performance and/or physiological parameters; (d) included an experimental group performing training adjusted continuously on the basis of alterations in HRV and a control group; and (e) involved healthy runners. Five studies involving six interventions and 166 participants fulfilled our inclusion criteria. Four HRV‐based interventions reduced the amount of moderate‐ and/or high‐intensity training significantly. In five interventions, improvements in performance parameters (3000 m, 5000 m, Loadmax, Tlim) were more pronounced following HRV‐based training. Peak oxygen uptake ( ) and submaximal running parameters (eg, LT1, LT2) improved following both HRV‐based and predefined training, with no clear difference in the extent of improvement in . Submaximal running parameters tended to improve more following HRV‐based training. Research findings to date have been limited and inconsistent. Both HRV‐based and predefined training improve running performance and certain submaximal physiological adaptations, with effects of the former training tending to be greater.
Fuzzy Logic Based Control of a Fuel Cell/Battery/Ultra-capacitor Hybrid Power System via a Multi-Phase Multi-Input Converter

Field: Engineering (Physical Sciences)

Fuel-cell (FC) based electric vehicles (EVs) are promising to reduce the carbon footprint due to the transportation sector. FCs are environmentally friendly systems that generate electricity from hydrogen and oxygen. Unfortunately, FCs solely fail to meet the high power density requirements of EVs. Therefore, this paper presents a FC/battery/ultra-capacitor (UC) hybrid power system (HPS) for electric vehicle applications. In this work, the power conversion is realized employing a single dc-dc converter which is a multi-phase multi-input converter to offer a compact and efficient HPS. After analyzing the converter, a fuzzy-logic-based energy management strategy (EMS) is developed to limit the rate of change of FC and battery power levels and regulate the voltage of UC. Finally, the offered EMS has been evaluated thanks to simulation models of the converter and sources.
The Spice Islands voyage: the quest for Alfred Wallace, the man who shared Darwin's discovery of evolution

Field: Arts and Humanities (Social Sciences)

This remarkable account of Tim Severin's voyage to the Indonesian Archipelago in search of the island paradise that naturalist Alfred Russel Wallace had explored 140 years before him offers both the thrills of exotic adventure and the marvels of scientific discovery. In a replica of the boat that Wallace himself sailed to the Spice Islands and with Wallace's The Malay Archipelago as his guide, Severin travels to remote shores that still harbor such rare but fast-disappearing creatures as red birds of paradise, flying foxes, and bird-winged butterflies. Not only does he discover the now-endangered flora and fauna that Wallace recorded in his expeditions, he also pays due homage to his intrepid predecessor, the man who provided Darwin with the ideas and principles that changed forever the way we view nature and with him co-authored the theory of evolution.
Osmolality and Unfrozen Water Content of Aqueous Solution of Dimethyl Sulfoxide

Field: Chemistry (Physical Sciences)

Dimethyl sulfoxide is one of the most popular cryoprotectants in cryobiology. It is crucial for the successful cryopreservation to quantitatively analyze the cryoprotective properties of dimethyl sulfoxide. In this study, the osmolality and the unfrozen water content of the aqueous solution of dimethyl sulfoxide are determined using a Perkin-Elmer Diamond DSC. For precisely calculating the unfrozen water content, this study takes into consideration the effect of dilution on the enthalpy of fusion in the solution which is a commonly neglected factor. The osmotic virial representation and the quantitative relationships between the unfrozen water content and the solution composition are reported. The experimental results show that the aqueous dimethyl sulfoxide solution has a greatly depressed freezing point and a large osmolality. Moreover, the water-blocking ability of dimethyl sulfoxide weakens when the solution is more concentrated. The results in this study will enlarge the database of physical and chemical properties of dimethyl sulfoxide and reinforce our understanding of the cryoprotective mechanisms of dimethyl sulfoxide in aqueous solutions.
Study on Dynamic of Arthropod Community of Tall Fescue Turf in Spring

Field: Agricultural and Biological Sciences (Life Sciences)

There was a preliminary study about lawn arthropod community dynamic changes from the community ecology.The data of the composition and individual and species of lawn arthropod community were got through the investigation of lawn in Huangshan College.There was a conclusion that the lawn arthropod was composed of phytophagous sub-community and predator sub-community and parasitic and neutral sub-community,and determining the richness of species.These provided a scientific theory for the control of lawn pests.
Single-Molecule Dynamics And Genome-Wide Transcriptomics Reveal That Nf-Kb (P65)-Dna Binding Times Can Be Decoupled From Transcriptional Activation

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

Data and analysis code repository for: Single-molecule dynamics and genome-wide transcriptomics reveal that NF-kB (p65)-DNA binding times can be decoupled from transcriptional activation https://doi.org/10.1101/255380
Effect of Metallic Impurities on Oxidation Reaction of Ion Exchange Resin, (I)

Field: Chemical Engineering (Physical Sciences)

Dry oxidation of spent ion exchange resin is one of the most effective methods to reduce radioactive waste volume and also to make the final waste form more stable. Thermo-gravimetric measurements were performed using cation exchange resins with or without Fe in either an ionized or unionized form to clarify the effect of metallic impurities on the resin oxidation. The presence of an ionized Fe resulted in a considerable increase in the reaction rate constant, indicating that the Fe functioned as a catalyst. On the other hand, the unionized Fe showed no catalytic activity. Measurement of EPMA revealed that the ionized Fe was distributed uniformly throughout the resin particles, while the unionized one was distributed only on the surface of the resin particle. Catalytic activity increased with ionized Fe concentration up to 0.5 mmol-Fe/g-dry resin, above which the activity tended to decrease. The X-ray diffraction study attributed this to Fe coagulation in the resin particle. Kinetic models for solid-gas reactions were also applied to the resin oxidation to evaluate catalytic activity quantitatively.
Reviewing attendance in the NHS: Causes of absence and discussion of managing attendance

Field: Health Professions (Health Sciences)

This report, though practical in its orientation, has been written on the basis of data collected as part of a significant research study. IES carried out an evaluation of workplace health in the NHS in 1995 which collected data from employees in 14 NHS Trusts. Subsequent reanalysis of the data, coupled with a comprehensive review of the academic literature on sickness absence, has resulted in a series of findings about the common causes of sickness absence which lead, in turn, onto discussion about the management strategies most likely to reduce it. Statistical evidence and bibliographic references are confined to appendices in the interests of clarity and brevity.
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning

Field: Computer Science (Physical Sciences)

This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditional generative adversarial network (cGAN) segmentation model to learn tumor features at different resolutions of BUS images. To automatically re-balance the relative impact of each of the highest level encoded features, we also propose to add a channel-wise weighting block in the network. In addition, the SSIM and L1-norm loss with the typical adversarial loss are used as a loss function to train the model. Our model outperforms the state-of-the-art segmentation models in terms of the Dice and IoU metrics, achieving top scores of 93.76% and 88.82%, respectively. In the classification stage, we show that few statistics features extracted from the shape of the boundaries of the predicted masks can properly discriminate between benign and malignant tumors with an accuracy of 85%$
Importance—Satisfaction Analysis of Deer Management Cooperative Members

Field: Social Sciences (Social Sciences)

ABSTRACT Our study explored the utility of using Importance‐Satisfaction Analysis (ISA) to identify critical attributes to deer management cooperative (DMC) member satisfaction. With white‐tailed deer ( Odocoileus virginanus ) management by landowners becoming an increasingly popular conservation tool, DMCs represent an approach by private landowners and hunters to collaboratively improve deer herds and hunting quality. Deer management cooperatives are a group of landowners and hunters voluntarily working together to improve the quality of wildlife, habitat, and hunting experiences on their collective acreage. Deer management cooperatives show promise in providing dual benefits to hunter satisfaction and large‐scale conservation efforts such as increasing habitat connectivity. Heterogeneity of satisfaction for deer hunting is well‐documented and DMC member satisfaction is an important factor in member retention and recruitment. We surveyed 2,817 members of 45 DMCs across five states (Georgia, Michigan, Missouri, New York, and Texas) using ISA methodology to better understand their satisfaction with their experience. Hunters’ responses ( n = 459) to the 22 attributes measured were segmented by their divergent motivations for DMC membership, resulting in four unique clusters for comparison (Solitude Members, Social Members, Representative Members, and Quality Harvest Members). Our results indicated that motivations for membership influenced importance and satisfaction ratings, further elucidating that multiple types of hunters and members exist within DMC networks. Areas of agreement among the four DMC clusters were the need for Neighbors to follow Quality Deer Management practices, that DMCs are performing well on members Seeing deer and Co‐op members sharing similar harvest goals, and that Preventing crop damage and the Lease value of the DMC property are low priorities. However, there was little agreement in quadrant placement among the four membership clusters for the remaining 17 attributes indicating the importance of DMCs understanding their individual members’ motivations for joining. By retaining satisfied members, DMCs can continue to provide the hunting quality expected as well as the tangential conservation benefits. © 2021 The Wildlife Society.
Unsupervised Machine Learning for Analysis of Phase Separation in Ternary Lipid Mixture

Field: Computer Science (Physical Sciences)

Phase separation in mixed lipid systems has been extensively studied both experimentally and theoretically because of its biological importance. A detailed description of such complex systems undoubtedly requires novel mathematical frameworks that are capable of decomposing and categorizing the evolution of thousands if not millions of lipids involved in the phenomenon. The interpretation and analysis of molecular dynamics (MD) simulations representing temporal and spatial changes in such systems are still a challenging task. Here, we present an unsupervised machine learning approach based on nonnegative matrix factorization called NMFk that successfully extracts latent (i.e., not directly observable) features from the second layer neighborhood profiles derived from coarse-grained MD simulations of a ternary lipid mixture. Our results demonstrate that NMFk extracts physically meaningful features that uniquely describe the phase separation such as locations and roles of different lipid types, formation of nanodomains, and timescales of lipid segregation.
Absence of Long-Range Order in Thin Films

Field: Physics and Astronomy (Physical Sciences)

Thin films are described as idealized systems having finite extent in one direction but infinite extent in the other two. For systems of particles interacting through smooth potentials (e.g., no hard cores), it is shown that an equilibrium state for a homogeneous thin film is necessarily invariant under any continuous internal symmetry group generated by a conserved density. For short-range interactions it is also shown that equilibrium states are necessarily translation invariant. The absence of long-range order follows from its relation to broken symmetry. The only properties of the state required for the proof are local normality, spatial translation invariance, and the Kubo-Martin-Schwinger boundary condition. The argument employs the Bogoliubov inequality and the techniques of the algebraic approach to statistical mechanics. For inhomogeneous systems, the same argument shows that all order parameters defined by anomalous averages must vanish. Identical results can be obtained for systems with infinite extent in one direction only.