jimnoneill/paper-to-field-training huggingface dataset:
La geologia trascendentale come ecologia del pensiero

Field: Arts and Humanities (Social Sciences)

This article retraces the main instances at the root of Merleau-Ponty’s project of a « transcendental geology », a project announced in a working note of 1960. This project is linked to the complex intertwining of history and nature, which Merleau-Ponty thematizes as the two non-objectifiable dimensions that pose a challenge to reflexive thought. History and nature, both in their particular subjective manifestations as personal life or one’s own body, as well as in their broader sense as the history of peoples or nature as a domain of the unbuilt, are characterized as unavoidable, as quasi-objects that are the soil of existence. It is in this direction that Merleau-Ponty’s interest in the “ultra-things” of Henri Wallon, those entities that the child can neither conceive nor imagine, seems to be heading. I propose that ultra-things are linked to inhabiting: they are the uninhabitable (the past before my birth, a distant planet) and the dimensions that cannot be renounced (one’s own body, the Earth, the story of my life). This relationship with inhabiting restores the relational aspect of the problem of the unreflective in Merleau-Ponty and highlights the timeliness and urgency of the program of a transcendental geology as an ecology of thought and as an ecological philosophy.
Wavelet analysis and forecast of pollutants in Puebla City, Mexico

Field: Environmental Science (Physical Sciences)

This article presents a detailed analysis of atmospheric pollutants in Puebla City, Mexico, based on data collected between 2016 and 2024. The research focuses on the daily variation of six major pollutants: ozone (O$_3$), particles smaller than 10 microns (PM10), particles smaller than 2.5 microns (PM2.5), sulfur dioxide (SO$_2$), and nitrogen dioxide (NO$_2$). The Mann-Kendall test, Innovate Trend, and Wavelet Transform Analysis were applied to identify significant trends and seasonal patterns. The results indicate an increase in the levels of O$_3$, SO$_2$, and NO$_2$, while the levels of PM10, and PM2.5 have shown a decrease. The study also employs the Prophet Forecasting Model to predict PM2.5 and PM10 concentrations for the year 2022, demonstrating that the model's accuracy increases as the analysis extends over longer periods.
Do they perform what they perceive? Examining the IL skills of Pakistani Scientists

Field: Social Sciences (Social Sciences)

This study aimed at assessing the difference between perceived and actual IL skills of scientists [research students]. In this descriptive correlational study, two scales were developed using ACRL standards for IL of science and engineering/ technology. A self-reporting scale for the evaluation of perceived IL skills and an MCQs-based tool for testing actual IL skills was administered concurrently among research students (M.Sc. MS/ M.Phil./ Ph.D.) of science disciplines of the University of Engineering and Technology (UET) Lahore and University of the Punjab (PU) Lahore. The findings revealed that the participants had overstated their perceived IL skills as they had showed poor performance in their test of actual IL skills. Thus, the results of paired sample t-test did not show calibration between perceived and actual IL skills of research students. The study had found the Dunning-Kruger effect on the perceived and actual IL skills of research students. The findings showed insignificant gender differences on perceived and actual IL skills of research students; however, the overestimation was found higher among females than their counterpart male research students regarding both IL skills. Similarly, PU’s research students had performed better than UET’s research students in test of actual IL skills. This is the first study that has tested actual IL skills of research students using an MCQ-based scale in Pakistan. The study has contextualized ACRL standards to identify overestimation between perceived and actual IL skills in science disciplines, i.e. a significant contribution in literature of information science. The outcomes of this study may help the library and information professionals, higher educational institutes, and related organizations to be engaged in teaching, designing and delivering IL instructions and programs. This study may also be helpful for academic researchers in articulating and contextualizing ACRL standards for the assessment of actual IL skills.
[Medical responsibility in cases of suicide in hospitals].

Field: Social Sciences (Social Sciences)

The author considers the problem of medical responsibility in case of suicide at the hospital, his study being limited to the psychiatric hospital which is the field of his practice. The notion of medical responsibility is dealt in connection with the functioning of medical units as well as with regards to the medical or care action which are practised therein. The author's conclusions deal with the psychological motivations of the plaintiffs, insisting as well on the reasons due to the very evolution of psychiatry as on the motives due to the evolution of families' mentality.
The Phosphatses of the Nervous System

Field: Neuroscience (Life Sciences)

Journal Article The Phosphatses of the Nervous System Get access Irwin Feigin, M.D., Irwin Feigin, M.D. New York, N.Y. Search for other works by this author on: Oxford Academic PubMed Google Scholar Abner Wolf, M.D. Abner Wolf, M.D. New York, N.Y. Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Neuropathology & Experimental Neurology, Volume 14, Issue 1, January 1955, Pages 11–22, https://doi.org/10.1097/00005072-195501000-00002 Published: 01 January 1955
ABOUT LEXICO-SEMANTIC CHARACTERISTICS OF SOME PERSIAN COMPOUND WORDS IN “SADDI ISKANDARI” BY ALISHER NAVOI

Field: Arts and Humanities (Social Sciences)

This article deals with the Persian compound words used by the poet in the work of Alisher Navoi "Saddi Iskandari". The etymological features of the Persian compound words of the work, their lexical meanings, the fact that they are based on comments in Persian-Tajik dictionaries, comparison with comments given in other sources, scientific views on the lexical meanings of Persian words in the annotated dictionary of Navoiʼs works are given. The lexico-semantic meanings of the Persian compound words presented in the article are explained, and they are grouped according to the expression of the profession and action or state.
Rapid-scan FTIR difference spectroscopy applied to ubiquinone reduction in photosynthetic reaction centers: Role of redox mediators

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

Rapid-scan FTIR difference spectroscopy was used to investigate light-induced reduction of the ubiquinone QB, and the oxidation kinetics of QB– and QH2 by external mediators in isolated reaction centers (RCs) from R. sphaeroides. As redox mediators, a Ferrocyanide/N,N,Nʹ,Nʹ-tetramethyl-p-phenylenediamine (TMPD) mixture and an Ascorbate/2,3,5,6-tetramethyl-p-phenylenediamine (DAD) mixture are compared.Results show that TMPDred rapidly reduces the photoproduced P870+ primary donor. The process is fast enough to record rapid-scan FTIR spectra devoid of P870+ bands down to 260 K. Results show also that TMPDox oxidises both QB– and QH2 faster than DADox. In particular, QB– is oxidised faster than QH2 at all temperatures studied.Results are discussed in the framework of time-resolved infrared studies on R. sphaeroides RCs, showing advantages/drawbacks of the proposed experimental approach.
The Biela meteors, 1891

Field: Physics and Astronomy (Physical Sciences)

Search Bar to Enter New Query quick field: Author First Author Abstract Year Fulltext Select a field or operator abstract abstract only acknowledgements affiliation arXiv category author count author bibcode bibliographic group bib abbrev, e.g. ApJ body of article data archive collection citation count doctype doi entdate first author fulltext identifier inst keyword object orcid page property publication full name date published title volume year citations() pos() references() reviews() similar() topn() trending() useful() single wildcard: ? wildcard: * exact match: = All Search Terms Your search returned 0 results Your search returned 0 results
Predictor blending technique for lossless and near-lossless image coding

Field: Computer Science (Physical Sciences)

In the paper a lossless image coding method intended for real-time hardware intra-frame video coding system is described. Data modeling stage of the method is based on predictor blending idea, the following entropy coding stage is realized as an advanced adaptive context arithmetic coder. The stages can be separated by a quantizer, in which case the coder is becoming a near-lossless one. Experiments show that indeed, the new algorithm is not only time efficient, but has also excellent data compression performance.
Genomics and Transcriptomics Analysis of Metal Accumulator Plants in Brassicaceae

Field: Agricultural and Biological Sciences (Life Sciences)

some of the economically high valuable vegetables and oilseed crops used worldwide. The \nmajor industrial and food crops in Brassica are the closest relatives to the model plant \nArabidopsis thaliana, and hence are major beneficiaries from the vast data of genomics and \nmolecular genetics available in the database of Arabidopsis thaliana. Extensive genetic and \nmolecular analyses have been undertaken for the six cultivated Brassica species. The four \nclosely related crop species B. rapa (AA, 2n=20), B. juncea (AABB, 2n=36), B. napus \n(AACC, 2n=38), and B. carinata (BBCC, 2n=34) provide about 12% of the worldwide edible \noil supply. The other two species B. nigra (BB, 2n=16) and B. oleracea (CC, 2n=18) provide \nmany vegetables for healthy human diet having a valuable source of dietary fiber, vitamin C \nand other anticancer compounds. The comparative mapping between Arabidopsis thaliana and \nthe well known oil crops in Brassicaceae, coupled with the basic knowledge of mutation \nbased functional analysis in Arabidopsis thaliana and QTL mapping in Brassicas, could \ngreatly contribute towards a better understanding of the genetic architecture for the conserved \nas well as the evolved traits of agronomic value of crop plants in Brassicaceae. Brassica nigra \nhas the second smallest genome size (~ 632 Mbp) among the six cultivated species of \nBrassica. Approximately 25% of the documented metal hyper accumulating species are \nmembers of the Brassicaceae and some of them are being used for phytoremediation. The \nsuper metal accumulating capacity of Arabidopsis halleri and Thlaspi caerulescens have been \nwell documented. Because of their slow growth and low biomass, other fast-growing and high \nbiomass brassica crop plants, for example Brassica juncea and Brassica nigra have been \nevaluated for their ability to hyper accumulate metals from contaminated soils. \nThe Diyabeker ecotype of B. nigra collected from southeastern part of Turkey was found to \nbe hyperaccumulator of Cu. We carried out the comparative transcriptome analysis in order to \nfind out the expression level of metal induced genes and transcriptome changes both in low \nand high Cu treated plants. Microarray analysis showed that some of the genes were highly \nexpressed (several hundred fold) with Cu treated plants compared to control. Our microarray \ndata using Affymetrix GeneChip Arabidopsis Genome Array (ATH1-121501 Genechip) \nindicate that possibly several genes including the genes in glutathione pathway, metal ATPase \nand ABC transporters are involved in metal tolerances in this ecotype.
Reevaluation of Diagnostic Criteria for Exertional Rhabdomyolysis in Collegiate Wrestlers: A Case Series and Review

Field: Medicine (Health Sciences)

Rhabdomyolysis is a common and potentially fatal condition encountered by athletic trainers, coaches, primary care physicians and sports medicine physicians. Benign, or physiological, Exertional Rhabdomyolysis (ER) may resemble Delayed Onset Muscle Soreness (DOMS) and becomes clinically significant when accompanied by other morphologies including severe muscle pain and swelling, and myoglobinuria. ER is often characterized by a triad of symptoms.
Brain Abscess Due to Listeria monocytogenes: Case Report and Literature Review

Field: Medicine (Health Sciences)

Listeria monocytogenes is an uncommon cause of brain abscess. Of a total of 14 cases of L. monocytogenes brain abscess (one described for the first time and 13 reported previously in the English-language literature), seven (50%) occurred in patients with leukemia and recipients of renal transplants; four (29%) of the cases occurred in previously healthy individuals. Common clinical findings were similar to those in brain abscess due to other causes and included fever (57%), headache (57%), and focal neurologic signs (64%). Distinctive, however, was the unusually high frequency of associated meningitis and bacteremia; blood cultures were positive in all eight cases in which they were performed. Eight (57%) of the 14 patients died. L. monocytogenes should be included in the differential diagnosis of brain abscess in patients with leukemia and in renal transplant recipients. Listerial brain abscess is highly unlikely when blood culture results are negative.
2009 VHA Facility Quality and Safety Report - Population Quality of Care

Field: Health Professions (Health Sciences)

the 2008 hospital report card was mandated by the fy08 appropriations act and focused on congressionally mandated metrics applicable to general patient populations the 2009 vha facility quality and safety report report not required by congress shifts to veteran centered metrics and includes information related to infrastructure care provided in outpatient and hospital settings quality of care within given patient populations accreditation status patient satisfaction and patient outcomes for fy2008 the data in this report have been compiled from multiple sources throughout vha this dataset includes composite scores reflecting quality of care for outpatients nexus and inpatients oryx quality of outpatient care is further stratified by comparison of outpatient care by gender age and mental health diagnosis
Isolation and Identification of Two Lipid Transfer Proteins in Pomegranate (Punica granatum)

Field: Agricultural and Biological Sciences (Life Sciences)

Lipid transfer proteins (LTPs) are a family of low molecular mass (7-9 kDa) polypeptides, the members of which share 35-95% sequence homology. These proteins are widely distributed throughout the plant kingdom and are receiving attention for their biochemical characteristics and biological activity. LTPs are indeed studied in different research fields varying from allergy to food technology, and numerous molecules belonging to this class are progressively being identified and investigated. Proteins from pomegranate juice were fractioned by cation exchange chromatography and analyzed by SDS-PAGE. Two proteins were identified as putative LTPs on the basis of their molecular weights and their electrophoretic behaviors under reducing and nonreducing conditions. Finally, proteins were purified and characterized by mass spectrometry. This analysis confirmed that the two polypeptides are LTPs on the basis of an amino acid sequence common to LTPs from other plant sources and cysteine content. The two proteins, named LTP1a and LTP1b, showed similar molecular masses but different immunological profiles when immunodetected with rabbit antibodies specific for Pru p 3 and human IgE from a patient suffering from pomegranate allergy. The demonstration of the existence of two immunologically unrelated LTPs in pomegranate confirms the variability and the complexity of the plant LTP family. This should be taken into account when the role of these proteins as elicitors of allergies to fruits is investigated and could help to explain the contradictory literature data on pomegranate allergy.
Managing depression in primary care: it's not only what you do it's the way that you do it

Field: Health Professions (Health Sciences)

Common mental health problems place significant demands on primary care services both in terms of time and resources.1,2 Of the common mental health problems, depression and anxiety make up about 97%.3 Depression is costly to the individual, their family and community, and represents a significant loss of human capital. It poses a considerable burden to the national economy4 and people with depression represent the largest single group receiving incapacity benefits.5,6 Depression is often chronic, has high relapse rates, increases the likelihood of suicide, and is associated with an increased risk of many physical disorders.7 It continues to present a major public health challenge8 despite public education campaigns and evidence-based treatment.9,10

Four papers in this month's BJGP highlight some of the potential problems of treating patients with depression. Patients frequently do not take antidepressant medication as prescribed with as few as 10% of patients completing a course of treatment.11 Van Geffen et al , in this issue of the BJGP , explore the rates of commencing treatment in patients prescribed antidepressants.12 They found that 28% of people newly prescribed an antidepressant by their GP never cashed in their prescriptions or only did so on one occasion. This failure to take the prescribed antidepressants was higher in people given antidepressants for non-specific indications, such as sleep problems, fatigue, relationship problems, and in non-Western immigrants and older people. This compares to drop-out rates for psychological therapies of about 30%7 and poses a particular challenge for healthcare professionals.

Antidepressant prescribing has risen in many countries over recent years. Morrison et al , in this issue of the journal, surveyed antidepressant prescribing in Scotland, and found wide prescribing variations.13 These variations showed a positive association with morbidity levels, …
Abstract 4144774: Machine Learning-Based Clinical Predictive Models for Early Readmission in Patients with Cardiogenic Shock

Field: Medicine (Health Sciences)

Background/Purpose: Cardiogenic shock (CS) affects up to 50,000 people annually in the United States, with high in-hospital mortality rates of 40%-67%. About 18.6% of CS survivors are re-admitted. This study aims to predict 7-day and 30-day readmissions in CS patients using machine learning (ML) algorithms to guide targeted interventions and improve healthcare outcomes. Methods: This retrospective study used the 2019 National Readmissions Database (NRD). CS hospitalizations were identified using ICD-10 code R57.0. Welch’s t-test compared continuous variables. The dataset was split into training and testing sets with a 7:3 ratio. Commonly used ML models, including XGBoost, Adaboost, decision tree, and random forest, were compared with logistic regression (LR). The primary outcome was CS readmission within 7 or 30 days of discharge. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used for performance measurement. Results: Among 97,653 CS patients, 32,881 (33.7%) died during their initial hospitalization. Index hospitalizations were 51,976. We excluded hospitalizations where patients died during their initial stay, as these cases would not contribute to readmission data. Additionally, we only considered hospitalizations from January to November, excluding December hospitalizations since their 30-day readmissions would occur in the following year. The 7-day readmission rate was 4,317 (8.3%), and the 30-day readmission rate was 10,927 (21.02%). Significant predictors for both readmission periods (p value <0.05) included lower mean age, lower income, higher Medicaid coverage, lower private insurance coverage, higher rates of CKD3, chronic pulmonary disease, drug abuse, and diabetes with complications as shown in Table 1. Figure 1 shows the performance of various ML models, with XGBoost being the best model in both tasks, achieving an AUC of 0.65 for 7-day and 0.67 for 30-day readmissions, indicating less than a 70% chance of accurately predicting readmission. This performance was similar to that of LR (AUC of 0.61 and 0.67). Conclusion: ML models have poor capacity for early CR readmission prediction and perform similarly to logistic regression (LR) when developed using large administrative datasets. To enhance future model development, incorporating electronic health records (EHRs) with more detailed and clinically relevant data should be considered.
Community characteristics in a chronosequence of karst vegetation in Mashan county,Guangxi

Field: Environmental Science (Physical Sciences)

Desertified karst region is a focal and difficult area of vegetation recovery and ecological restoration in southwest China. We investigated changes of the regeneration,succession and community characteristics in karst vegetation after stopping human disturbance,based on a chronosequence in the kart region of Mashan county. Our sampling includes 15plots,each of 20 m×50 m representing five successional stages( desertified karst land,grassland,scrub,young forest and mature forest). We found that vegetation succession proceeded from desertified karst land to grassland to scrub to young forest,and finally to mature forest. Vegetation cover was significant different among different successional communities at three different layers( P0. 05). The greatest cover of arbor layer was found in mature forests,of shrub layer was in young forests,and of grass layer was in scrub stage,while the maximum number of species,genera and families with importance values( IV) ≥10. 00 were found in young forests. Community structures of all layers were remarkably different among successional stages,so were plant density of the tree layer,with the maximum tree density found in young forests. Plant density of the shrub layer in the mature forests was significantly lower than that in young forests and grasslands( P0. 05),and was not significantly different with desertified karst lands and scrubs( P 0. 05). Species richness of the communities increased with succession,but the changes were different among all layers in different successional stages. The greatest species richness in the grass layer was found in the grassland and the lowest in the mature forest; the greatest species richness in the shrub layer was found in the young forest and the lowest in the desertified karst land stage; the greatest species richness in the tree layer was found in the young forest and the least in the mature forest. Ecological dominance was not significantly different among grass layers in different successional stages( P 0. 05),but significantly different among shrub and arbor layers in different successional stages( P0. 05). The restoration of karst vegetation can be divided into two stages,each with a threshold,i. e. harsh physical environments and deficiency of climax species,respectively. At each stage,the successive direction and speed depended on the presence of different driving and keystone species with different functional characteristics. The later a successional stage was,the more aboundance of climax species,and the more obvious it was that the driving and keystone species were those of advanced,large-sized and long-lived.