jimnoneill/paper-to-field-training huggingface dataset:
AUTOMATED CLASSIFICATION OF AUTISM SPECTRUM DISORDER USING EEG SIGNALS AND CONVOLUTIONAL NEURAL NETWORKS

Field: Computer Science (Physical Sciences)

Children suffering from Autism Spectrum Disorder (ASD) have impaired social communication, interaction and restricted and repetitive behaviors. ASD is caused by abnormal brain developments which give rise to the behavioral characteristics associated with ASD. The clinical diagnosis of ASD is performed on the basis of behavioral assessment and it causes a time delay in early intervention, as there is a time gap between abnormal brain developments and associated behavioral characteristics. Electroencephalography (EEG) is a technique which measures the electrical activity produced by the brain and it has been used to detect several neurological disorders. Studies have shown that there is a variation in the EEG signals of a normal subject and EEG signals of ASD subjects. In this study, we obtained scalograms of EEG signals by using Continuous Wavelet Transform (CWT). Pre-trained deep Convolutional Neural Networks (CNNs) such as GoogLeNet, AlexNet, MobileNet and SqueezeNet were used for extracting the features from scalograms and classification of obtained scalograms from EEG signals of normal and ASD subjects. We also used Support Vector Machine (SVM) algorithm and Relevance Vector Machine (RVM) for classification of the features extracted by the deep CNNs. The GoogLeNet, AlexNet, MobileNet and SqueezeNet deep CNNs achieved a validation accuracy of 75%, 75.84%, 79.45% and 82.98% in classifying the scalograms generated from EEG signals. The SVM achieved an accuracy of 71.6%, 74.76%, 70.70% and 81.47% using GoogleNet, Mobilenet, AlexNet and SqueezeNet for scalogram feature extraction. The RVM achieved an accuracy of 65.5%, 69.9%, 65.3% and 72.59% when used for classification using the features generated from GoogLeNet, AlexNet, MobileNet and SqueezeNet.The SqueezeNet deep CNN performed better than GoogLeNet, AlexNet and MobileNet for classification of the EEG scalograms. The feature extraction using SqueezeNet also resulted in better classification accuracy obtained by SVM and RVM. The results indicate that pre-trained models can be used for classifying the ASD using scalograms of the EEG signals.
The Perceived Risk of Hospitalization in Primary Health Care – The Importance of Multidimensional Assessment

Field: Health Professions (Health Sciences)

Ageing has increased the use of health services, with a corresponding rise in avoidable hospitalizations. We aimed to assess and characterize the perceived risk of hospitalization in primary health care (PHC). 118 individuals aged ≥65 years, PHC patients, were assessed using the Community Risk Assessment Instrument by their General Practitioner, who identified their perceived risk of hospitalization, at one year. The instrument is composed of three domains (mental state, daily living activities (ADLs) state and medical state). Multivariate logistic regression was used to identify the best model to predict the risk of hospitalization. Four models were estimated, one for each domain and one with all the variables of the instrument. 58.5% were identified as being at risk of hospitalization. The best predictive models are those that include functionality assessment variables (ADL model and Community Assessment of Risk Instrument model). The model that includes all the variables of three domains presents the best predictive value. Mobility problems (Odds Ratio (OR) 16.18 [CI: 1.63–160.53]), meal preparation (OR 10.93 [CI: 1.59–75.13]), communication (OR 6.91 [CI: 1.37–34.80]) and palliative care (OR 4.84 [CI: 1.14–20.58]) are the best predictors of hospitalization risk. The use of multidimensional assessment tools can allow the timely identification of people at risk, contributing to a reduction in hospitalizations.
Designing market mechanism for low voltage distribution systems

Field: Energy (Physical Sciences)

This project aims to design a low voltage distribution market operator which will be responsible for the two-way power flow from the transmission network to the distribution network. This is needed to increase the visibility and load certainty of the distribution network. The focus of this project will mainly be in the demand-side bidding for distribution systems. A power deviation penalty was imposed on microgrids which deviate from the awarded power by the distribution operator to discourage microgrids from deviating from the awarded power which can lead to system fluctuations. Awarded power can be interpreted as the power assigned by the distribution operator initially. A simulation was conducted on IBM ILOG CPLEX Optimization Studio, with a distribution market operator facilitating the demand flow to the 5 microgrids. The results have shown that to prevent the microgrids from deviating from the awarded power by the distribution operator, the key lies in varying the power deviation penalty cost.
Study on Clarification Technology of Fresh Lingwu Long Jujube Fermenting Wine

Field: Agricultural and Biological Sciences (Life Sciences)

Clarification and fermentation technology of fresh Lingwu long jujube fermenting wine were studied.During the fermentation process,several key factors were optimized by orthogonal test,and an excellent type of Jujube wine was prepared finally,clarification effects of single and compound clarificants were studied.Through clearing and transparenting,a typical aroma,high-quality fresh jujube fermenting wine was produced.
Latour's Hotel Keys: An Actor-Network Ontology

Field: Arts and Humanities (Social Sciences)

This project is a reintroduction of an illustration used by Bruno Latour in the essay “Technology is Society Made Durable,” of a hotel manager who creates programs to increase customer compliance in returning their room keys. Verbal reminder, signage, and a weighted key fob are non-human actants that relate to customers such that customers either return keys (i.e., follow the program) or fail to return keys (i.e. follow the anti-program). Latour’s network description is not grounded in an ontology, and we propose to create a small ontology using the open specifications of RDF, OWL, and SKOS in order to model it. The point of this project is to provide a robust, usable, and versatile framework for doing actor-network analysis, and to champion an approach to non-human actants characteristic of Actor-Network Theory (ANT) as also helpful for understanding systems. The interaction between knowledge organization and ANT has been limited, but should be explored further. ANT operates under certain implied ontological commitments concerning common properties of human and non-human entities as actants, and of relationships as formative of actant identities. In our project we will explore an ontology model for Latour’s Hotel Keys and briefly discuss the lessons that this simple actor-network model provides for knowledge organization.
Mumps and enteroviral meningitis in Toronto, 1966.

Field: Medicine (Health Sciences)

Of 52 children admitted to hospital for apparently typical mumps meningitis in 1966, 50 had their cerebrospinal fluid (CSF) examined. In only 17 was the mumps virus isolated from the CSF. Mumps antihemagglutinin conversions or increments were detected in 32 subjects including 10 whose CSF yielded virus. Antibody conversions were found in 16 patients and fourfold increments in another nine whose serum pairs were collected only one to four days apart. Initial sera from 20 patients were obtained three days or less after the onset of meningitis. Antibody increments were frequently noted about one day after defervescence and clinical improvement. Interferon was detected in CSF from two of eight patients, both of whom yielded virus. Enteroviruses were isolated from CSF and/or feces in seven of 15 cases of aseptic meningitis which occurred between July and October. Six patients including three virus excretors showed enteroviral neutralizing antibody increments during convalescence. The dominant enteroviral serotype was coxsackievirus A9.
Mindful awareness in body-oriented therapy for female veterans with post-traumatic stress disorder taking prescription analgesics for chronic pain: a feasibility study.

Field: Health Professions (Health Sciences)

Over 10 weeks of recruitment, 31 women expressed interest in study participation. The primary reason for exclusion was the lack of prescription analgesic use for chronic pain. Study participants adhered to study procedures, and 100% attended at least 7 of 8 sessions; all completed in-person post-treatment assessment. Written questionnaires about intervention experience suggest increased tools for pain relief/relaxation, increased body/mind connection, and increased trust/safety. Ten of 14 responded to mailed 3-month follow-up. The response-to-process measures indicated the feasibility of implementing the manualized protocol and point to the need for longer sessions and a longer intervention period with this population.
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition

Field: Computer Science (Physical Sciences)

Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame. To improve the robustness of VPR in perceptually aliasing scenarios, sequence-based VPR methods are proposed. These methods are either based on matching between frame sequences or extracting sequence descriptors for direct retrieval. However, the former is usually based on the assumption of constant velocity, which is difficult to hold in practice, and is computationally expensive and subject to sequence length. Although the latter overcomes these problems, existing sequence descriptors are constructed by aggregating features of multiple frames only, without interaction on temporal information, and thus cannot obtain descriptors with spatio-temporal discrimination.In this paper, we propose a sequence descriptor that effectively incorporates spatio-temporal information. Specifically, spatial attention within the same frame is utilized to learn spatial feature patterns, while attention in corresponding local regions of different frames is utilized to learn the persistence or change of features over time. We use a sliding window to control the temporal range of attention and use relative positional encoding to construct sequential relationships between different features. This allows our descriptors to capture the intrinsic dynamics in a sequence of frames.Comprehensive experiments on challenging benchmark datasets show that the proposed approach outperforms recent state-of-the-art methods.The code is available at https://github.com/tiev-tongji/Spatio-Temporal-SeqVPR.
Issues and Potential Solutions to the Clean Heating Project in Rural Gansu

Field: Environmental Science (Physical Sciences)

Rural clean heating project (RCHP) in China aims to increase flexibility in the rural energy system, enhance the integration of renewable energy and distributed generation, and reduce environmental impact. While RCHP-enabling routes have been studied from a technical perspective, the economic, ecological, regulatory, and policy dimensions of RCHP are yet to be analysed in depth, especially in the underdeveloped areas in China. This paper discusses RCHP in rural Gansu in a multi-dimension approach. We firstly focus on the current issues and challenges of RCHP in rural Gansu. Then the RCHP-enabling areas are briefly zoned into six typical regions based on the resource distribution in Gansu Province, and a matching framework of RCHP is recommended. Then we focus on the economics and sustainability of RCHP-enabling technologies. Based on the medium-term assessment of RCHP in the demonstration provinces, various technical schemes and routes are analysed and compared so as to be adopted in rural Gansu. In addition to technical and economic effects of those schemes, the corresponding ecology, policy, finance, and market implications are also concerned. We briefly discuss how the national regulators incentivise the implementation of RCHP in rural Gansu. Major barriers to RCHP are identified as the sustainability of technology, economy, ecology, policy, finance, and market. Subsequently, some policy solutions to overcome these barriers are proposed.
Cocaine-mediated microglial activation involves the ER stress-autophagy axis

Field: Neuroscience (Life Sciences)

Cocaine abuse leads to neuroinflammation, which, in turn, contributes to the pathogenesis of neurodegeneration associated with advanced HIV-1 infection. Autophagy plays important roles in both innate and adaptive immune responses. However, the possible functional link between cocaine and autophagy has not been explored before. Herein, we demonstrate that cocaine exposure induced autophagy in both BV-2 and primary rat microglial cells as demonstrated by a dose- and time-dependent induction of autophagy-signature proteins such as BECN1/Beclin 1, ATG5, and MAP1LC3B. These findings were validated wherein cocaine treatment of BV-2 cells resulted in increased formation of puncta in cells expressing either endogenous MAP1LC3B or overexpressing GFP-MAP1LC3B. Specificity of cocaine-induced autophagy was confirmed by treating cells with inhibitors of autophagy (3-MA and wortmannin). Intriguingly, cocaine-mediated induction of autophagy involved upstream activation of 2 ER stress pathways (EIF2AK3- and ERN1-dependent), as evidenced by the ability of the ER stress inhibitor salubrinal to ameliorate cocaine-induced autophagy. In vivo validation of these findings demonstrated increased expression of BECN1, ATG5, and MAP1LC3B-II proteins in cocaine-treated mouse brains compared to untreated animals. Increased autophagy contributes to cocaine-mediated activation of microglia since pretreatment of cells with wortmannin resulted in decreased expression and release of inflammatory factors (TNF, IL1B, IL6, and CCL2) in microglial cells. Taken together, our findings suggest that cocaine exposure results in induction of autophagy that is closely linked with neuroinflammation. Targeting autophagic proteins could thus be considered as a therapeutic strategy for the treatment of cocaine-related neuroinflammation diseases.
Approach on design, synthesis and evaluation of Pharmacophore Benzothiazepine form substituted Chalcones

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Objective: It is to demonstrate that a heterocyclic derivatives acts as magic moiety in antagonizing numerous undesirable diseases.Intact the 1,5-Benzothiazepine is a six member benzene ring condensed to a hetero seven member ring shows a various pharmacological properties in the field of medicine.The Material and methods: molecular design for the depicted compounds is identified for its ADME properties and drug likeliness is studied using "Mcule" a software tool available online.Further the selected compounds are prepared in wet lab, a series of substituted Benzothiazepine are prepared by cyclo condensation of α -unsaturated ketones (chalcones) with O-amino thiophenol , β under the influence of glacial acetic acid.Structural characterization and anti-inflammatory (by Protein in-vitro denaturation inhibition) and anti-oxidant (by H O scavenging activity) activity are performed with slight revising the
Women’s Early Warning Symptoms of Acute Myocardial Infarction

Field: Medicine (Health Sciences)

Background— Data remain sparse on women’s prodromal symptoms before acute myocardial infarction (AMI). This study describes prodromal and AMI symptoms in women.Methods and Results— Participants were 515 women diagnosed with AMI from 5 sites. Using the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey, we surveyed them 4 to 6 months after discharge, asking about symptoms, comorbidities, and demographic characteristics. Women were predominantly white (93%), high school educated (54.8%), and older (mean age, 66±12), with 95% (n=489) reporting prodromal symptoms. The most frequent prodromal symptoms experienced more than 1 month before AMI were unusual fatigue (70.7%), sleep disturbance (47.8%), and shortness of breath (42.1%). Only 29.7% reported chest discomfort, a hallmark symptom in men. The most frequent acute symptoms were shortness of breath (57.9%), weakness (54.8%), and fatigue (42.9%). Acute chest pain was absent in 43%. Women had more acute (mean, 7.3±4.8; range, 0 to 29) than prodromal (mean, 5.71±4.36; range, 0 to 25) symptoms. The average prodromal score, symptom weighted by frequency and intensity, was 58.5±52.7, whereas the average acute score, symptom weighted by intensity, was 16.5±12.1. These 2 scores were correlated (r=0.61, P<0.001). Women with more prodromal symptoms experienced more acute symptoms. After controlling for risk factors, prodromal scores accounted for 33.2% of acute symptomatology.Conclusions— Most women have prodromal symptoms before AMI. It remains unknown whether prodromal symptoms are predictive of future events.
PISCO: Intertidal: mussel growth temperature data: Gull Haven, Oregon, USA (GHVX00)

Field: Environmental Science (Physical Sciences)

This metadata record describes a mix of intertidal seawater and air temperature data collected at Gull Haven, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2009-10-20. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
Continuous Flow-Measurement During Reconstruction of the Carotid Artery

Field: Medicine (Health Sciences)

An extravascular bypass shunt with a built-in probe for flow measurement, which permits a continuous measurement, was tested on 11 patients. In most of these cases an adequate flow could be matintained. These patients are included in a material comprising 68 patients. Very careful studies of the haemodynamic have been made in 48 cases with an electro-magnetic flow-measurer and with pressure-measurements. The result of these measurements is under discussion.
ChemInform Abstract: Nitroalkylation Reactions of Methyl 2‐(4‐Morpholinyl)acrylate. Synthesis of Methyl α,δ‐Dioxo Esters.

Field: Chemistry (Physical Sciences)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Research on Platform Monopoly Governance Strategy under Digital Economy

Field: Social Sciences (Social Sciences)

In the context of the rapid development of digital economy, while significantly improving the economy, it also brings new challenges to national governance. Due to the uncertainty of the anti-monopoly law and the imperfection of the market, the problem of platform monopoly is becoming more and more serious. This research cuts into the market from the research of platform, market and policy, based on the investigation of platform data and means, and then analyzes the problems in combination with the relevant data of domestic and foreign policies, so as to obtain the governance strategy. In order to protect the rights and interests of consumers and comply with the law of platform development in the era of digital economy, we should formulate more perfect laws and regulations and form a flexible regulatory system.
Global Chondrodermatitis Nodularis Helicis Market 2025 To 2034

Field: Business, Management and Accounting (Social Sciences)

Chondrodermatitis Nodularis Helicis Market Size, Trends and Insights By Treatment Type (Topical Corticosteroids, Intralesional Injections, Surgical Interventions, Laser Therapy, Others), By End User (Hospitals, Dermatology Clinics, Ambulatory Surgical Centers, Others), By Distribution Channel (Hospital Pharmacies, Retail Pharmacies, Online Pharmacies), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034. Reports Description Market research findings show that the Chondrodermatitis Nodularis Helicis Market is expected to grow with a CAGR of 3.5% in the period between the years 2025 and 2034. In 2025, the market reached USD 520 Million and by the year 2034, it is projected to reach USD 690 Million. For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74283
Mechanical Behavior of Cable Net Structures Considering Sag Ratio

Field: Engineering (Physical Sciences)

Cable network system is a flexible lightweight structure which curved cables can transmit only tensile forces. The weight of cable roof dramatically can reduce when the length becomes large. The cable network system is too flexible, most cable systems are stabilized by pretension forces. The tensile force of cable system is greatly influenced by the sag ratio and pretension forces. Determining initial sag ratio of cable roof system is essential in a design process of cable structures. Final sag ratio and pretension depends on initial installed sag and on proper handling during installation. The design shape of cable system has an affect on the sag and pretension, and must be determined using well-defined design philosophy. This paper is carried out the comparative data of the deflection and tensile forces on the geometric non-linear analysis of cable network systems according to sag ratio. The study of cable network system is provided to technical informations for the design of a large span cable roof, analytical results are compared with the results of other researchers. Structural nonlinear analysis of systems having cable elements is relatively complex than other rigid structural systems because displacements are large as a reason of flexibility, initial prestress is applied to cables in order to increase the rigidity, and then divergence of nonlinear analysis occurs rather frequently. Therefore, cable network systems do not exhibit a typical nonlinear behavior, iterative method that can handle geometric nonlinearities are necessary.
Fertilizer Use, Risk, and Off‐Farm Labor Markets in the Semi‐Arid Tropics of India

Field: Economics, Econometrics and Finance (Social Sciences)

A two‐period model is developed in which a risk‐averse farmer uses off‐farm labor to smooth consumption, leading to greater use of fertilizer. Fertilizer demand is shown to increase with the depth of the off‐farm labor market. Controlling for exogenous weather risk, farmers use more fertilizer the lower the unemployment rate and the higher the share of nonagricultural work in total off‐farm labor. The results suggest that off‐farm labor markets and own‐farm production may be complementary in risky production environments, so that policies which promote the depth of the off‐farm labor market in low‐income areas may also bolster farm productivity.
Study on stabilities of sennoside A and sennoside B in the extract of Sennae folium

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

OBJECTIVE To investigate the effects of various factors on the stabilities of sennoside A and sennoside B in the extract of the leaves of Sennae folium.METHODS The stabilities of the two components under different temperature,solvent or time conditions were investigated using the classical isothermal method.The concentrations of sennoside A and sennoside B were determined by HPLC,and the relevant parameters were calculated.RESULTS Sennoside A and sennoside B were very unstable under the condition of relatively high temperature(80℃),especially in70%ethanol,where the two components were degraded by 51.63%and by 93.06%,respectively.CONCLUSION The two factors,namely temperature and solvent,have effects on the stability of sennoside A and sennoside B,which provided experimental basis to the development and production of F.sennae preparations.