bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ondansetron use is associated with increased risk of acute kidney injury in ICU patients following cardiac surgery: a retrospective cohort study
Authors: Xu Feiyi , Gong Xun , Chen Wei , Dong Xiaomin , Li Jiang 
Published: December 2024

BackgroundOndansetron is widely used for prophylaxis of postoperative nausea and vomiting (PONV) after general anesthesia. While previous studies have emphasized its early use, the effects of ondansetron in intensive care unit (ICU) patients following cardiac surgery remain unclear. This study investigates the association between postoperative ondansetron exposure and the risk of mortality, acute kidney injury (AKI), and postoperative atrial fibrillation (POAF) in ICU patients after cardiac surgery.MethodsWe conducted a retrospective cohort study utilizing data from the MIMIC-IV database. Adult patients who underwent cardiac surgery and were subsequently admitted to the ICU were included. Cox proportional hazards models were employed to assess the effect of ondansetron exposure on ICU and 28-day mortality. Multivariable logistic regression analyses examined the associations between ondansetron exposure and the incidence of AKI (2-day and 7-day) and POAF. Sensitivity analyses included Propensity Score Matching (PSM) and the inclusion of patients with ICU stays of less than 24 h to ensure robustness of results. Subgroup analyses explored the effects of age and other clinical factors, with interaction tests to examine differential impacts.ResultsA total of 7,170 were included. The incidence of AKI was 74.4% at 2 days and 76.7% at 7 days post-surgery. The 28-day postoperative mortality rate was 1.4%, while the ICU mortality rate was 1.0%. POAF occurred in 17.4% of the patients. Ondansetron exposure was not associated with 28-day mortality or ICU mortality (p &gt; 0.05). However, after PSM, ondansetron exposure was significantly associated with an elevated risk of AKI at 2 days (OR 1.28, 95% CI 1.13–1.45, p &lt; 0.001] and 7 days (OR 1.25, 95% CI 1.15–1.45, p &lt; 0.001), as well as POAF (OR 1.20, 95% CI 1.04–1.39, p = 0.014).Subgroup analysis revealed a stronger association in patients aged over 65 years, where ondansetron was linked to an increased risk of 7-day AKI (OR 1.51, 95% CI 1.29–1.78, p &lt; 0.001) and POAF (OR 1.31, 95% CI 1.12–1.53, p = 0.001). Interaction tests showed a significant interaction between ondansetron exposure and age (P for interaction = 0.018 for AKI and P for interaction = 0.02 for POAF). Sensitivity analyses, including patients with ICU stays of less than 24 h, confirmed the robustness of these findings.ConclusionIn ICU patients following cardiac surgery, postoperative use of ondansetron is associated with an increased risk of both 7-day AKI and POAF, particularly in patients aged 65 years and older. These findings suggest that the use of ondansetron in this population should be approached with caution, especially in elderly patients who may be more susceptible to these complications. Further research is needed to explore the mechanisms underlying the association between ondansetron and these adverse outcomes.
Investigating the cognitive architecture of verbal fluency: evidence from an interference design on 487 controls
Authors: Dorchies Flore , Muchembled Camille , Adamkiewicz Corinne , Godefroy Olivier , Roussel Martine 
Published: December 2024

IntroductionNumerous studies have explored the linguistic and executive processes underlying verbal fluency using association designs, which provide limited evidence. To assess the validity of our model, we aimed to refine the cognitive architecture of verbal fluency using an interference design.MethodsA total of 487 healthy participants performed letter and semantic fluency tests under the single condition and dual conditions while concurrently performing a secondary task that interferes with speed, semantics, phonology, or flexibility. We examined the effect of such interference on fluency indices including correct responses, clustering, switching, and time course.Results(1) All secondary tasks decreased fluency (p &lt; 0.0001, all), (2) including a simple concurrent task that solely engages the attentional activation system (i.e., speed interference) and (3) a complex concurrent task that affects the ability to alternate (i.e., flexibility interference). (4) Linguistic secondary tasks (which engage phonological and semantic processes, in addition to attention) led to a greater decrease in fluency than speed interference (p &lt; 0.0001), (5) with a more pronounced decrease in semantic fluency induced by semantic interference (p &lt; 0.0001), and (6) the highest decrease in all types of fluency induced by phonological interference (p &lt; 0.0001). In terms of derived indices, (7) speed interference decreased switching without affecting clustering (p &lt; 0.0001) and (8) phonological interference mainly affected the first time interval, whereas speed and flexibility interference primarily affected the last time interval (p &lt; 0.0001, all).DiscussionThese results, based on an interference design, indicate that letter and semantic fluency involve output lexico-phonological and semantic processes with which the strategic search process interacts, as well as an attentional component necessary to accelerate overall processing. These results also highlight interactions with other executive processes, such as those involved in stimulus dimension alternation, which require further analysis. They support our model and provide information concerning derived indices. The commonly claimed associations of executive function with switching and of semantic ability with clustering are only partially supported by our results. Finally, word production appears to be modulated by different cognitive processes over time, with a prominence of the phonological output lexicon in early production and more demanding processing (i.e., executive functioning) in late production.
Public health perspectives on green efficiency through smart cities, artificial intelligence for healthcare and low carbon building materials
Authors: Sun Jingjing , Guan Xin , Yuan Siqi , Guo Yalin , Tan Yepei , Gao Yajuan 
Published: December 2024

IntroductionSmart cities, artificial intelligence (AI) in healthcare, and low-carbon building materials are pivotal to public health, environmental sustainability, and green efficiency. Despite their critical importance, understanding public perceptions and attitudes toward these domains remains underexplored. Additionally, the effective use of advanced technologies like convolutional neural networks (CNN) in predicting and promoting low-carbon solutions in construction is gaining attention.MethodsThis study employs a dual approach: (1) A survey of 200 respondents was conducted to gauge public perceptions and attitudes toward smart cities, AI in medicine, and low-carbon building materials. (2) A CNN model was developed and implemented to predict the performance of low-carbon building materials. The model utilized convolutional and pooling layers to capture local features and spatial information from image datasets, with tasks including image classification and segmentation.ResultsThe survey results indicate high awareness of smart cities (80%), with 60% associating them with environmental protection and green living. For AI in medicine, 70% of respondents are aware of its applications, but only 45% perceive it as environmentally beneficial. Regarding low-carbon building materials, 60% expressed willingness to pay premium prices, and 65% recognized their positive environmental impact. The CNN model demonstrated high prediction accuracy on both training and validation datasets, effectively aiding in the identification of low-carbon materials and reducing building energy consumption and carbon emissions.DiscussionThe findings highlight significant public awareness and diverse attitudes toward these critical domains, suggesting the need for improved communication and advocacy for AI’s environmental benefits. The application of CNN models in the construction industry showcases a promising pathway to enhance material selection efficiency and foster sustainable practices. These insights are essential for aligning public understanding with technological advancements to achieve environmental and public health goals.
Assessing an experimental rule change in the pay-offs for soccer league match outcomes using historical data for Ireland
Authors: Dargahi Shilan , Reilly Barry 
Published: December 2024

IntroductionThis paper evaluates an experimental rule change trialed in the League of Ireland for one season in the early 1980s, where four points were awarded for an away win, three for a home win, two for an away draw, and one for a home draw. This pay-off structure was designed to incentivize visiting teams to engage in more offensive play, thus potentially increasing the number of goals scored per game and reducing the incidence of drawn games.MethodsUsing match-level data for six playing seasons, the impact of this reward scheme on an array of match-level outcomes is evaluated using an array of fixed effects regression models.Results and discussionThe key empirical findings suggest this change to the pay-off structure did not reduce the drawn game rate but did induce a modest increase in the average goal scoring of the home team with subsequent implications for average goal difference. The absence of an effect for the visiting team is rationalized in terms of prospect theory, and the asymmetric implication of the policy change for the respective loss aversion parameters of the home and the visiting teams. In addition, we also use a lottery framework to further demonstrate why the short-lived pay-off structure failed in its primary objective to incentivize visiting teams to engage in more offensive play.
Distinguishing Among Causes of Death for Patients with Kidney Failure on Hemodialysis
Authors: Tran Michelle , Xu Chun Anna , Wilson Jonathan , Ephraim Patti L. , Shafi Tariq , Weiner Daniel E. , Goldstein Benjamin A. , Scialla Julia J. 
Published: December 2024

Background:
Patients treated with maintenance hemodialysis (HD) are at high risk of death from a variety of causes.

Methods:
To identify markers (i.e., risk phenotypes) that distinguish among causes of death, we used dialysis electronic health record data for a cohort of adults treated with maintenance in-center HD who died between 2003-2016. Patients were linked to the United States Renal Data System (USRDS) Files. We classified USRDS-reported causes of death into five categories: Sudden Cardiac Death (SCD), non-SCD Cardiovascular Death, Infection, Others, and Unknown. A sub-cohort was linked to the National Death Index (NDI) with similar categories defined. We used ensemble classification trees to discriminate among causes using demographics, vital signs, laboratory measures, health service utilization, and comorbidity claims from 30 days prior to death. The area under the receiver operating curves (AUCs) were all between 0.59-0.70, suggesting minimal ability to distinguish among causes using clinical risk markers. We then created nested case-control populations for each cause of death and used ridge logistic regression to evaluate clinical risk markers that associate with distinct causes.

Results:
Model coefficients were similar and highly correlated across different cause of death models (i.e., 0.87 – 0.94). This suggests that most clinical risk markers are shared across causes without distinct risk phenotypes.

Conclusions:
We conclude that different causes of death may share similar clinical risk markers in the setting of kidney failure or that the causes of death attributed on USRDS or NDI forms are not precise.
РОЛЬ ПРОГНОЗА ВЕСЕННЕГО СТОКА В БАССЕЙНЕ ВОЛГИ В РЕШЕНИИ ПРОБЛЕМЫ ЭКОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ВОЛГО-АХТУБИНСКОЙ ПОЙМЫ
Authors: Барабанов А.Т. 
Published: December 2024

Перспективу экологического состояния Волго-Ахтубинской поймы можно сравнить с современ-ным состоянием Аральского моря. Если сейчас не принять срочные меры по ее спасению, то она мо-жет превратиться в пустыню. Ее состояние зависит от притока талой воды с водосборного бассейна Волги и оптимального регулирования весеннего попуска в Волжско-Камском каскаде водохрани-лищ. Для оптимизации весеннего паводка Волги необходим прогноз поверхностного стока высокой точности. При наличии каскада водохранилищ на Волге и Каме и имея методику надежного прогно-за стока можно идеально отрегулировать весенний паводок в любую по водности весну. Анализ используемых в настоящее время ме-тодов расчета стока показал, что сток в основном зависит от снегозапасов, хотя в них и учитывается водопоглотительная способность почвы и некото-рые другие факторы, но, судя по коэффициентам уравнений, эти показатели либо играют незначи-тельную роль, либо очень большую. Точность этих прогнозов очень низкая. Нами открыт закон лимитирующих факторов стока, который позволил по-новому оценить роль факторов в его формировании и разработать мето-дику высокоточного прогноза.
The perspective of the ecological state of the Volga-Akhtuba floodplain can be compared with the current state of the Aral sea. If urgent measures are not taken in order to save it now, it could turn into a desert. Its condition depends on the inflow of melt water from the Volga watershed basin and the optimal regulation of spring release in the Volga-Kama cascade of reservoirs. To optimize the spring flood of the Volga river, a high-precision surface runoff forecast is needed. It is possible to adjust perfectly the spring flood according to any spring water content having a reliable method of forecasting the flow in the presence of a cascade of reservoirs within the Volga and Kama. Analysis of the current methods of runoff calculating showed that runoff is mainly dependent on snow reserves, although they take into account the water absorption capacity of the soil and some other factors, but these indicators either play a minor role or a very large one, according to evaluation the coefficients of the equations. The accuracy of these predictions is very low. We discovered the law of limiting factors of runoff, which allowed us to re-evaluate the role of factors in its formation and develop a method of high-precision prediction.
Результаты исследований по возделыванию озимого тритикалена каштановых почвах в Нижнем Поволжье
Authors: Иванченко Т.В. , Беликина А.В. 
Published: December 2024

В засушливых условиях Нижнего Поволжья в ходе исследований изучены сорта озимого три- тикале, нормы высева, дозировки внесения удо- брений. Определены наиболее урожайные сорта озимого тритикале. Аргументирована экономиче- ская эффективность вариантов возделывания ози- мого тритикале в зависимости от выбора сорта, нормы высева и доз минеральных удобрений. На основании расчетов экономической эффективно- сти использования исследуемых технологических элементов определено, что наиболее высокую при- быль с 1 гектара обеспечивает сорт озимого трити- кале Трибун при норме высева 2,5 млн.шт. всхожих семян/га при агрофоне применения минеральных удобрений N60Р30, при этом рентабельность выра- щивания культуры составляет 165,0. Анализируя урожайность озимого тритикале, можно увидеть, что у сорта Валентин 60 самая вы- сокая урожайность была 4,0 т/га при норме высева 4,5 млн. шт при внесении удобрений N60P30, рента- бельность составила 140,2. Высевая сорт Трибун, наибольшая урожайность 4,1 т/га была получена при норме высева 2,5 млн. ш/га на агрофоне N80P30, рентабельность составила 152,1. У сорта Каприз наибольшая урожайность 4,0 т/га получена на аг- рофоне N80P30, с нормой высева 3,5 млн.шт, рента- бельность при этом составила 136,8.
Analyzing the yield of winter triticale, one can see that Valentin 60 had the highest yield of 4.0 t / ha with a sowing rate of 4.5 million pcs with fertilizer N60P30, the profitability was 140.2. The sowing variety Tribun, the highest yield of 4.1 t / ha was obtained with a sowing rate of 2.5 million sh / ha on the N80P30 agricultural background, profitability was 152.1. For the variety Kapriz, the highest yield of 4.0 t / ha was obtained on the N80P30 agricultural background, with a sowing rate of 3.5 million units, while the profitability was 136.8.
Technologies of Satellite Monitoring of Herbal Fires (on the Example of the Volgograd Region)
Authors: Shinkarenko S.S. , Berdengalieva A.N. 
Published: December 2024

The article explores the possibilities of analyzing the fire regime of landscapes based on information products based on automated methods for processing Earth remote sensing data from space with a MODIS spectroradiometer (Terra and Aqua satellites). The authors use the data of the active burning sites FIRMS (The Fire Information for Resource Management System) and the burnedout areas MCD64A1 to determine the features of the spread of fire fires in the Volgograd region. The study is based on a geoinformation analysis of a longterm archive (2001-2018) of active burning centers (thermal points) and burned-out areas, including the calculation of thermal points in cells of a regular grid of 10 10 km, followed by interpolation using the nearest neighbor method. The possibilities of using data on burned-out areas for the analysis of the fire regime of natural and agricultural landscapes are shown. The article notes that the number of foci of burning in 2010- 2018. it almost halved compared to the period 2001- 2009, the decrease was mainly due to summer fires on agricultural land. The authors identified errors in the detection of burns by automated algorithms, which consist not only of skipping burned areas, but also of mistakenly identifying unburned areas as burnt. As a result, the article states that visual decryption remains the most reliable way of identifying burns, while using MODIS data is justified for additional verification. Keywords: agrarian landscape, landscape fires,
В статье исследуются возможности анализа пожарного режима ландшафтов на основе информационных продуктов, базирующихся на автоматизированных методах обработки данных дистанционного зондирования Земли из космоса спектрорадиометром MODIS (спутники Terra и Aqua). Авторы используют данные активных очагов горения FIRMS (The Fire Information for Resource Management System) и выгоревших площадей MCD64A1 для определения особенностей распространения пожаров в Волгоградской области. Исследование основывается на геоинформационном анализе многолетнего архива (2001-2018 гг.) активных очагов горения (термоточек) и выгорев- ших площадей, включающем подсчет термоточек в ячейках регулярной сетки 1010 км с последующей интерполяцией методом ближайшего соседа. Показаны возможности использования данных о выгоревших площадях для анализа пожарного ре- жима естественных и сельскохозяйственных лан- дшафтов. В статье отмечается, что количество очагов горения в 2010-2018 гг. снизилось практи- чески вдвое по сравнению с периодом 2001-2009 гг., снижение произошло в основном за счет летних пожаров на сельскохозяйственных землях. Авторы определили ошибки детектирования гарей авто- матизированными алгоритмами, которые состо- ят не только в пропуске выгоревших площадей, но и в ошибочном определении несгоревших участков как сгоревших. В результате в статье констати- руется, что наиболее надежным способом иден- тификации гарей остается визуальное дешифри- рование, при этом использование данных MODIS оправдано для дополнительной верификации.
Применение современных технологий при инвентаризации земель
Authors: Денисова Е.В. 
Published: December 2024

Исследование направлено на решение такой проблемы, как нерациональное использование земли современного государства, которая непо- средственно затрагивает все стороны развития хозяйства. В статье рассматриваются вопросы изучения земельных ресурсов, их качественных и количественных характеристик, а также харак- тер современного и перспективного использова- ния земель. Актуальность исследования в решении вопросов, касающихся наиболее целесообразного и экономически выгодного использования земли в процессе производственной деятельности, и при этом будет обеспечиваться охрана окружающей среды. В работе на основе геоинформационного анализа проведено исследование участков оро- шаемой и богарной пашни в кадастровых кварта- лах 34:26:030101, 34:26:030102 и 34:26:030102:107 (Светлоярский район Волгоградской области), что позволило создать космофотокарту факти- ческого использования данных угодий, а также выявить нарушения в сфере земельного законо- дательства. В заключение констатируется, что урегулирование и рациональное использование зе- мель (земельных ресурсов) может быть выполне- но в рамках инвентаризации земель, которая не- возможна без применения современных методик и технологий.
Land is one of the main elements of national wealth for society, and its rational use significantly affects the development and formation of the country s economy. Irrational use of land is the main problem of the modern state, which directly affects all aspects of economic development. The article deals with the study of land resources, their qualitative and quantitative characteristics, as well as the nature of modern and prospective use of land that will provide the most appropriate and cost- effective use of land in the process of production activities, and at the same time, ensure environmental protection. The study of irrigated and rain-fed arable land plots was conducted within two cadastral blocks 34: 26: 030101 and 34:26:030102 on the basis of geo- information analysis, which made it possible to create a space photo map of the actual use of these lands, as well as to identify violations in the field of land legislation. A management and rational use of land (land resources) can be performed within the framework of land inventory, which is impossible without the use of modern techniques and technologies.