Hasil untuk "History (General)"

Alfredo Moreno-Egea, Carlos Moreno-Latorre, Alfredo Moreno-Latorre

Background: The history of radical hernia repair involves a period of intense surgical activity, influenced by factors of the time such as social development, hygiene, anesthesia, and antisepsis. Subcutaneous surgery, the initial option designed to avoid infections and peritonitis, was modified after the introduction of antisepsis, eventually leading to dissection surgery. Objective: We aim to analyze the publications from the period of radical hernia cures using current methodology, verifying when and how the transition occurred from subcutaneous surgery to dissection surgery. Methods: A literature review of the databases PubMed, LILACS, Cochrane Library, “Google” and university libraries is conducted. The following keywords were used: “anatomy and surgery”. A critical analysis of the known literature about this historical topic is carried out. Results: Under-vision dissection surgery, through incision of the aponeurosis of the external oblique muscle, began in England by Durham in 1866, almost 20 years before it was performed in France by Lucas-Championnière in 1885. Recurrences decreased after the introduction of the principle of closing the walls of the inguinal canal (Wood, 1860). The surgeon–anatomist Wood should be considered the first specialist in abdominal wall surgery, due to his extensive contributions from the pre-antiseptic era. The evolution of the radical cure of hernias was made possible by combining the knowledge of several countries: England, Germany, and Italy. Conclusions: Dissection surgery was initiated in England, Germany, and Italy, not in France. The influence of the French literature on the history of hernias is evident, to the detriment of the contributions of surgeons from other countries.

Mušikić-Popović Ilinka B.

The paper analyzes the importance and contribution of Serbian pedagogues to the affirmation of upbringing and education, based on national values. In Serbian pedagogy, several prominent pedagogues, through general reflections on upbringing and education, considered the importance of national education and national values. Accordingly, the paper presents the understanding of Serbian pedagogues in the period from 1918 to 1945, namely: Miloša R. Milošević, Vojislav Bakić, Ljubomir Protić, Sreten Adžić, Jovan Miodragović, Vojislav Mladenović, Miloš B. Janković and Vićentije Rakić. In the indicated historical moment, Serbia was marked by various school reforms, which also affected the content of upbringing and education. The importance of individual pedagogues, who created and acted at that time, is particularly impressive precisely because of the problematization of the idea of the nation and national values in the context of the process of upbringing and education, which is described and shown in more detail in the paper.

SUN Yuxin, ZHAN Haoran, AYIXIAMU· Keyimu, XU Tingting

Background The development of maternal and child health requires reducing urban-rural, regional and group disparities in the health of women and children. Focusing on the quality of life of maternal women in rural areas and other low-income areas is of great significance to improve the inequalities in maternal and child health. Objective To analyze the current situation of maternal quality of life during pregnancy and its influencing factors in rural China. Methods From September 2018 to September 2019, a total of 3 329 pregnant women were selected from 6 county-level medical institutions in Shanxi Province, Sichuan Province and Yunnan Province (Zhaoyang District People's Hospital, Yiliang County People's Hospital, Pingchang County Maternal and Child Health Care Hospital, Yingshan County Maternal and Child Health Care Hospital, Ziyang County Maternal and Child Health Care Hospital, and Hanyin County Maternal and Child Health Care Hospital) as the research objects to collect basic information of pregnant women. WHOQOL-BREF scale was used to investigate the quality of life of pregnant women. Multiple linear regression analysis was used to explore the influencing factors of each dimension of the quality of life score. Results A total of 3 294 questionnaires were included, with a valid questionnaire rate of 98.94%. The average WHOQOL-BREF score of pregnant women was (81.99±11.01) points, and the social relation score was the highest among the 4 dimensions [ (69.13±12.46) points] , followed by the psychological dimension score [ (66.99±12.59) points] , physiological dimension score [ (65.40±12.62) points] , environmental dimension score [ (65.02±12.11) points] . Stratified comparison results showed that there were statistically significant differences in the scores of physiological dimension, psychological dimension, social relation dimension and environmental dimension among pregnant women of different ages, total annual income levels, places of residence, education levels and occupations (P<0.05) . The difference was statistically significant in psychological dimension score when comparing pregnant women with different preconception BMI (P<0.05) . There were significant differences in the scores of psychological dimension and environmental dimension of pregnant women with weight gain during different gestation periods (P<0.05) . The scores of psychological dimension, social relation dimension and environmental dimension of pregnant women with different medical insurance types were compared, and the differences were statistically significant (P<0.05) . The score of environmental dimension of parturients was significantly lower than that of parturients (P<0.05) . The scores of physiological dimension, psychological dimension and environmental dimension of pregnant women with exercise habit were higher than those of pregnant women without exercise habit, and the difference was statistically significant (P<0.05) . The results of multiple linear regression analysis showed that age, exercise habit, education level and occupation were the influencing factors of physiological dimension score (P<0.05) . Age, pre-pregnancy BMI, family history, exercise habits, education level and medical insurance type were the influencing factors of psychological dimension score (P<0.05) . Age and exercise habit were the influencing factors of social relation dimension score (P<0.05) . Family history, weight gain during pregnancy, exercise habits, residence type, occupation, total annual income level and medical insurance type were the influencing factors of environmental dimension score (P<0.05) . Conclusion There is still much room for improvement in the quality of life of pregnant women in rural areas of China. In addition to individual factors such as age, parity, social factors such as place of residence and health insurance coverage are also significant influencing factors, improvement from the social perspective remains a priority for maternal and child health care in the future.

Noah W. Tuchow, Jason T. Wright

We present HZ_evolution, a Python package to characterize the habitable histories of exoplanets. Given inputs of a planet's current effective flux and host star properties, HZ_evolution calculates its instellation history, the evolution of the star's Habitable Zone, and the duration the planet spends inside or outside the Habitable Zone.

Huy Nguyen, Christoph Treude, Patanamon Thongtanunam

With the exponential growth of AI tools that generate source code, understanding software has become crucial. When developers comprehend a program, they may refer to additional contexts to look for information, e.g. program documentation or historical code versions. Therefore, we argue that encoding this additional contextual information could also benefit code representation for deep learning. Recent papers incorporate contextual data (e.g. call hierarchy) into vector representation to address program comprehension problems. This motivates further studies to explore additional contexts, such as version history, to enhance models' understanding of programs. That is, insights from version history enable recognition of patterns in code evolution over time, recurring issues, and the effectiveness of past solutions. Our paper presents preliminary evidence of the potential benefit of encoding contextual information from the version history to predict code clones and perform code classification. We experiment with two representative deep learning models, ASTNN and CodeBERT, to investigate whether combining additional contexts with different aggregations may benefit downstream activities. The experimental result affirms the positive impact of combining version history into source code representation in all scenarios; however, to ensure the technique performs consistently, we need to conduct a holistic investigation on a larger code base using different combinations of contexts, aggregation, and models. Therefore, we propose a research agenda aimed at exploring various aspects of encoding additional context to improve code representation and its optimal utilisation in specific situations.

Myong Chol Jung, Julien Monteil, Philip Schulz et al.

We present the history-aware transformer (HAT), a transformer-based model that uses shoppers' purchase history to personalise outfit predictions. The aim of this work is to recommend outfits that are internally coherent while matching an individual shopper's style and taste. To achieve this, we stack two transformer models, one that produces outfit representations and another one that processes the history of purchased outfits for a given shopper. We use these models to score an outfit's compatibility in the context of a shopper's preferences as inferred from their previous purchases. During training, the model learns to discriminate between purchased and random outfits using 3 losses: the focal loss for outfit compatibility typically used in the literature, a contrastive loss to bring closer learned outfit embeddings from a shopper's history, and an adaptive margin loss to facilitate learning from weak negatives. Together, these losses enable the model to make personalised recommendations based on a shopper's purchase history. Our experiments on the IQON3000 and Polyvore datasets show that HAT outperforms strong baselines on the outfit Compatibility Prediction (CP) and the Fill In The Blank (FITB) tasks. The model improves AUC for the CP hard task by 15.7% (IQON3000) and 19.4% (Polyvore) compared to previous SOTA results. It further improves accuracy on the FITB hard task by 6.5% and 9.7%, respectively. We provide ablation studies on the personalisation, constrastive loss, and adaptive margin loss that highlight the importance of these modelling choices.

Muhammad Shihab Rashid, Jannat Ara Meem, Vagelis Hristidis

Open Retrieval Conversational Question Answering (OrConvQA) answers a question given a conversation as context and a document collection. A typical OrConvQA pipeline consists of three modules: a Retriever to retrieve relevant documents from the collection, a Reranker to rerank them given the question and the context, and a Reader to extract an answer span. The conversational turns can provide valuable context to answer the final query. State-of-the-art OrConvQA systems use the same history modeling for all three modules of the pipeline. We hypothesize this as suboptimal. Specifically, we argue that a broader context is needed in the first modules of the pipeline to not miss relevant documents, while a narrower context is needed in the last modules to identify the exact answer span. We propose NORMY, the first unsupervised non-uniform history modeling pipeline which generates the best conversational history for each module. We further propose a novel Retriever for NORMY, which employs keyphrase extraction on the conversation history, and leverages passages retrieved in previous turns as additional context. We also created a new dataset for OrConvQA, by expanding the doc2dial dataset. We implemented various state-of-the-art history modeling techniques and comprehensively evaluated them separately for each module of the pipeline on three datasets: OR-QUAC, our doc2dial extension, and ConvMix. Our extensive experiments show that NORMY outperforms the state-of-the-art in the individual modules and in the end-to-end system.

Annet Konings, Mariia Marinichenko, Oleksii Mikulenko et al.

Primordial gravitational waves propagate almost unimpeded from the moment they are generated to the present epoch. Nevertheless, they are subject to convolution with a non-trivial transfer function. Within the standard thermal history, shifts in the temperature-redshift relation combine with damping effects by free streaming neutrinos to non-trivially process different wavelengths during radiation domination, with subsequently negligible effects at later times. Presuming a nearly scale invariant primordial spectrum, one obtains a characteristic late time spectrum, deviations from which would indicate departures from the standard thermal history. Given the paucity of probes of the early universe physics before nucleosynthesis, it is useful to classify how deviations from the standard thermal history of the early universe can be constrained from observations of the late time stochastic background. The late time spectral density has a plateau at high frequencies that can in principle be significantly enhanced or suppressed relative to the standard thermal history depending on the equation of state of the epoch intervening reheating and the terminal phase of radiation domination, imprinting additional features from bursts of entropy production, and additional damping at intermediate scales via anisotropic stress production. In this paper, we survey phenomenologically motivated scenarios of early matter domination, kination, and late time decaying particles as representative non-standard thermal histories, elaborate on their late time stochastic background, and discuss constraints on different model scenarios.

Pengju Zhao, Ke Li, Peter C. Coyte

Abstract This paper used two waves (2016 and 2018) of longitudinal data from the China Families Panel Survey (CFPS) to analyze the economic impact of Non-communicable chronic diseases (NCDs) on individual earned income using propensity score matching and difference in difference (PSM-DID) methods to control for potential confounding. The occurrence of a NCDs was associated with a significant decrease in earned income by 19.2% (P = 0.002, t = 3.75). The reasons for this decrease include: a lower labour force participation rate; lower weekly hours worked; and a lower average hourly wage. After holding labour market behaviours constant, different types of NCDs have different impacts on earned income. Musculoskeletal diseases have the greatest negative impact, accounting for a 21.5% decrease in individual earned income (p < 0.0001, t = −7.84), while digestive system diseases have the smallest impact accounting for a 6.9% decrease in earned income (p = 0.012, t = −2.52).

Cheqiu Lyu, Yingjie Peng, Yipeng Jing et al.

The assembly of galaxies over cosmic time is tightly connected to the assembly of their host dark matter halos. We investigate the stellar mass growth history and the chemical enrichment history of central galaxies in SDSS-MaNGA. We find that the derived stellar metallicity of passive central galaxies is always higher than that of the star-forming ones. This stellar metallicity enhancement becomes progressively larger towards low-mass galaxies (at a given epoch) and earlier epochs (at a given stellar mass), which suggests strangulation as the primary mechanism for star formation quenching in central galaxies not only in the local universe, but also very likely at higher redshifts up to $z\sim3$. We show that at the same present-day stellar mass, passive central galaxies assembled half of their final stellar mass $\sim 2$ Gyr earlier than star-forming central galaxies, which agrees well with semi-analytic model. Exploring semi-analytic model, we find that this is because passive central galaxies reside in, on average, more massive halos with a higher halo mass increase rate across cosmic time. As a consequence, passive central galaxies are assembled faster and also quenched earlier than their star-forming counterparts. While at the same present-day halo mass, different halo assembly history also produces very different final stellar mass of the central galaxy within, and halos assembled earlier host more massive centrals with a higher quenched fraction, in particular around the "golden halo mass" at $10^{12}\mathrm{M_\odot}$. Our results call attention back to the dark matter halo as a key driver of galaxy evolution.

Miguel García-Fernández

Junwen Chen, Gaurav Mittal, Ye Yu et al.

Online action detection is the task of predicting the action as soon as it happens in a streaming video. A major challenge is that the model does not have access to the future and has to solely rely on the history, i.e., the frames observed so far, to make predictions. It is therefore important to accentuate parts of the history that are more informative to the prediction of the current frame. We present GateHUB, Gated History Unit with Background Suppression, that comprises a novel position-guided gated cross-attention mechanism to enhance or suppress parts of the history as per how informative they are for current frame prediction. GateHUB further proposes Future-augmented History (FaH) to make history features more informative by using subsequently observed frames when available. In a single unified framework, GateHUB integrates the transformer's ability of long-range temporal modeling and the recurrent model's capacity to selectively encode relevant information. GateHUB also introduces a background suppression objective to further mitigate false positive background frames that closely resemble the action frames. Extensive validation on three benchmark datasets, THUMOS, TVSeries, and HDD, demonstrates that GateHUB significantly outperforms all existing methods and is also more efficient than the existing best work. Furthermore, a flow-free version of GateHUB is able to achieve higher or close accuracy at 2.8x higher frame rate compared to all existing methods that require both RGB and optical flow information for prediction.

Adriane Wynn, Samantha Tweeten, Eric McDonald et al.

<h4>Background</h4>The Eliminate Hepatitis C San Diego County Initiative was established to provide a roadmap to reduce new HCV infections by 80% and HCV-related deaths by 65% by 2030. An estimate of the burden of HCV infections in San Diego County is necessary to inform planning and evaluation efforts. Our analysis was designed to estimate the HCV burden in San Diego County in 2018.<h4>Methods</h4>We synthesized data from the American Community Survey, Centers for Disease Control and Prevention, California Department of Public Health, Public Health Branch of California Correctional Health Care Services, San Diego Blood Bank, and published literature. Burden estimates were stratified by subgroup (people who inject drugs in the community [PWID], men who have sex with men in the community [MSM], general population in the community [stratified by age and sex], and incarcerated individuals). To account for parameter uncertainty, 100,000 parameter sets were sampled from each parameter's uncertainty distribution, and used to calculate the mean and 95% confidence interval estimates of the number of HCV seropositive adults in San Diego in 2018.<h4>Findings</h4>We found there were 55,354 (95% CI: 25,411-93,329) adults with a history of HCV infection in San Diego County in 2018, corresponding to an HCV seroprevalence of 2.1% (95% CI: 1.1-3.4%). Over 40% of HCV infections were among the general population aged 55-74 and one-third were among PWID.<h4>Conclusion</h4>Our study found that the largest share of infections was among adults aged 55-74, indicating the importance of surveillance, prevention, testing, and linkages to care in this group to reduce mortality. Further, programs prioritizing PWID for increased HCV testing and linkage to care are important for reducing new HCV infections.

Damayanti Sekarsari, MD, Syeida Handoyo, MD, Mohamad Yanuar Amal, MD, MBA et al.

Necrotizing pneumonia is an uncommon but severe complication of community acquired pneumonia characterized by the development of necrosis, liquefaction, and cavitation of the lung parenchyma. It occurs infrequently in children, ranging from 0.8% to 7% of community acquired pneumonia cases. We reported a case of 28-month-old female infant with a history of severe dyspnea and fever 5 days before admission. After administration of appropriate antibiotics for pneumonia, the patient's condition was still unresolved. Then, contrast CT scan showed cavitary lesions within consolidated lungs with loss of volume and lack of contrast enhancement that confirmed the diagnosis as necrotizing pneumonia. The presence of pneumothorax in the patient depicts a possible bronchopleural fistula which significantly increase morbidity and mortality risk. Surgical management could not be implemented due to worsening condition of the patient. It is suggested that patients with suspicion of necrotizing pneumonia are subjected to chest CT scan to avoid delay in diagnosis and appropriate management.

Óscar Bascuñán Añover

El artículo analiza las formas de castigo empleadas en las comunidades ru- rales durante el período de la Restauración. Los conflictos sociales fueron el escenario en el que se desplegaron diversas y cambiantes formas de castigo entre contendientes. Estos castigos permiten examinar las normas y valores que regulaban la convivencia colectiva en las comunidades rurales, las maneras en las que se gestionaban los conflictos y se ejercía el control sobre los vecinos. La disputa política y las nuevas formas de movilización social que se produjeron en estas décadas imprimieron cambios en la gestión del conflicto y la utiliza- ción del castigo. Estos cambios dejan observar la transformación de las ideas, identidades y relaciones sociales en el ámbito convivencial.

Marcio A. Jorge Silva, Sandro B. Pinheiro

We address a Timoshenko system with memory in the history context and thermoelasticity of type III for heat conduction. Our main goal is to prove its uniform (exponential) stability by illustrating carefully the sensitivity of the heat and history couplings on the Timoshenko system. This investigation contrasts previous insights on the subject and promotes a new perspective with respect to the stability of the thermo-viscoelastic problem carried out, by combining the whole strength of history and thermal effects.

Aditi Krishak, Dhiraj Kumar Hazra

We reconstruct the history of reionization using Gaussian process regression. Using the UV luminosity data compilation from Hubble Frontiers Fields we reconstruct the redshift evolution of UV luminosity density and thereby the evolution of the source term in the ionization equation. This model-independent reconstruction rules out single power-law evolution of the luminosity density but supports the logarithmic double power-law parametrization. We obtain reionization history by integrating ionization equations with the reconstructed source term. Using optical depth constraint from Planck Cosmic Microwave Background observation, measurement of UV luminosity function integrated till truncation magnitude of -17 and -15, and derived ionization fraction from high redshift quasar, galaxies and gamma-ray burst observations, we constrain the history of reionization. In the conservative case we find the constraint on the optical depth as $τ=0.052\pm0.001\pm0.002$ at 68% and 95% confidence intervals. We find the redshift duration between 10% and 90% ionization to be $2.05_{-0.21-0.30}^{+0.11+0.37}$. Longer duration of reionization is supported if UV luminosity density data with truncation magnitude of -15 is used in the joint analysis. Our results point out that even in a conservative reconstruction, a combination of cosmological and astrophysical observations can provide stringent constraints on the epoch of reionization.

Hau-Jyun Su, Yu-Tse Chiu, Chuan-Tai Chiu et al.

The global incidence and prevalence of inflammatory bowel disease (IBD) has increased over the last 2-4 decades, likely because of the adoption of a more “western” lifestyle as well as improved detection and awareness, and Taiwan is no exception. To characterize the increasing burden of IBD, we conducted a comprehensive review of IBD in the existing literature. The following parameters were reviewed: background knowledge and current standard care for IBD, including natural history, epidemiology, pathogenesis, diagnosis, monitoring, and treatment. In addition, new imaging modalities and treatment options such as combined positron emission tomography and magnetic resonance enterography, new biologic agents, small-molecule therapy, biosimilar therapeutics, mesenchymal stem cell transplantation, and fecal microbiota transplantation, all of which have been introduced for IBD management, were reviewed. We also used the hospital-based as well as population-based Taiwan National Health Insurance Research Database to assess Taiwan-specific trends for comparison with global trends. Keywords: Inflammatory bowel disease, 2018, Update

Edyta Koper

The subject of this study is the analysis of the Act on foreigners from 2013 as the latest legal document regarding immigration to Poland. The Act clearly sets out the rules and conditions for entry of migrants, their stay in Poland, transit and departure from it, as well as the procedure and competent authorities in these matters. Thus, it reflects the essence and specifics of the migration policy undertaken by the Polish government. The most important issues are the consequences of changes in the areas of permanent and temporary residence, work and study as well as amendments. The aim of the study is to present not only the provisions of the Act referring to foreigners, but also its implementation on the formal and pragmatic level.

Lukas Mosser, Olivier Dubrule, Martin J. Blunt

The calibration of a reservoir model with observed transient data of fluid pressures and rates is a key task in obtaining a predictive model of the flow and transport behaviour of the earth's subsurface. The model calibration task, commonly referred to as "history matching", can be formalised as an ill-posed inverse problem where we aim to find the underlying spatial distribution of petrophysical properties that explain the observed dynamic data. We use a generative adversarial network pretrained on geostatistical object-based models to represent the distribution of rock properties for a synthetic model of a hydrocarbon reservoir. The dynamic behaviour of the reservoir fluids is modelled using a transient two-phase incompressible Darcy formulation. We invert for the underlying reservoir properties by first modeling property distributions using the pre-trained generative model then using the adjoint equations of the forward problem to perform gradient descent on the latent variables that control the output of the generative model. In addition to the dynamic observation data, we include well rock-type constraints by introducing an additional objective function. Our contribution shows that for a synthetic test case, we are able to obtain solutions to the inverse problem by optimising in the latent variable space of a deep generative model, given a set of transient observations of a non-linear forward problem.