bluuebunny/crossref_metadata_2025_split huggingface dataset:
ТЕХНОЛОГИЧЕСКИЕ ПАРАМЕТРЫ ПРОЦЕССА ДЛЯ ЭФФЕКТИВНОЙ АБСОРБЦИОННОЙ ОСУШКИ ПРИРОДНОГО ГАЗА ОТ ВЛАГИ С ПОМОЩЬЮ ДИЭТИЛЕНГЛИКОЛЯ
Authors: Китов Егор Сергеевич , Ерофеев Владимир Иванович 
Published: February 2023

Ссылка для цитирования: Китов Е.С., Ерофеев В.И.Технологические параметры процесса для эффективной абсорбционной осушки природного газа от влаги с помощью диэтиленгликоля // Известия Томского политехнического университета. Инжиниринг георесурсов. – 2023. – Т. 334. – № 2. – С. 217-223.
Актуальность. Добыча природного газа и попутных нефтяных газов сопровождается необходимой подготовкой газа для поставки потребителю для коммерческого использования. В частности, на месторождениях газа и нефти применяются отделение всех побочных гомологов метана, влаги и других неуглеводородных соединений, входящих в состав попутных нефтяных газов, ухудшающих условия эксплуатации оборудования и понижающих качество исходного сырья. При постоянно растущей степени обводненности газовых и нефтяных месторождений необходимо поступательное развитие технологических методов подготовки газа, в том числе одного из наиболее распространенных в РФ – абсорбционного метода осушки природного и попутных нефтяных газов от примесей воды. Цель: обосновать применение диэтиленгликоля как наиболее эффективного абсорбента в условиях Крайнего Севера при подготовке природного газа. Объект: установка комплексной подготовки природного газа. Метод. Расчет модели установки комплексной подготовки газа произведен в программном комплексе UniSim Design R470. Результаты. Исследовано влияние основных технологических параметров: температуры, давления процесса абсорбционной осушки природного газа на абсорбенте диэтиленгликоль на установке подготовки газа для удаления примесей воды. Определены оптимальные условия по давлению и температуре для эффективного удаления влаги из природного газа методом абсорбции воды диэтиленгликолем при высоком давлении входного сырья. Показано, что применение абсорбента диэтиленгликоля наиболее эффективно в условиях Крайнего Севера. При использовании диэтиленгликоля в качестве абсорбента для осушки природного газа от воды при низких температурах значительно уменьшаются энергозатраты на компримирование газа, его охлаждение перед абсорбером и расход осушителя по сравнению с другими абсорбентами. Определены наиболее эффективные технологические параметры работы абсорбционной установки по осушке природного газа при концентрации диэтиленгликоля 98 % мас. и расходе сырого природного газа 385 тыс. м³/ч. Диэтиленгликоль уже при температуре контакта 19 °С осушает газ до регламентируемых показателей температуры точки росы минус 20 °С и давлении в установке подготовки газа не менее 4 МПа и выше. Напротив, превышение температуры контакта газ–диэтиленгликоль выше 20 °С и снижение давления менее 4 МПа приводит к значительному повышению энергозатрат, уносу абсорбента диэтиленгликоля и ухудшению экономических показателей процесса осушки природного газа от примесей воды.
In sea turtles presenting for cold-stunning (sustained hypothermia), what blood analytes routinely evaluated at intake provide the most prognostic value?
Authors: Wooten McCaide 
Published: March 2023

Question
In sea turtles presenting for cold-stunning (sustained hypothermia), what blood analytes routinely evaluated at intake provide the most prognostic value?
Clinical bottom line
Category of research question
Prognosis.
The number and type of study designs reviewed
Ten studies were included in this evaluation including the following study designs: eight retrospective case series, one cross-sectional, and one retrospective cohort.
Strength of evidence
Weak.
Outcomes reported
The most consistent finding across all included studies in cold-stunned sea turtles was acidosis (suspected both respiratory or metabolic components) characterised by reduced blood pH, elevated partial pressure of carbon dioxide (pCO2), and reduced partial pressure of oxygen (pO2). However, this finding was not necessarily linked with failure of rehabilitation. Rather, sea turtles presenting for cold-stunning that did not survive rehabilitative therapy were typically in extreme states of homeostatic derangement involving acidosis, but often in conjunction with additional abnormalities (e.g. anaemia, sepsis, organ failure or dysfunction, pneumonia, etc.).
Conclusion
As might be expected, the evaluated literature did not reveal a single or series of blood analytes that were definitively linked with the success or failure of rehabilitation in sea turtles presenting for cold-stunning. However, they did identify analytes that may provide the most clinical value in this clinical situation including packed cell volume (PCV), estimated white blood cell count (WBC), total and / or ionised calcium, pH, potassium (K), and lactate. Review of the available studies on the topic provides insightful information that can aid clinicians addressing this syndrome to triage and treat affected individuals most effectively. It also elucidated areas of opportunity for further research.

How to apply this evidence in practice
The application of evidence into practice should take into account multiple factors, not limited to: individual clinical expertise, patient’s circumstances and owners’ values, country, location or clinic where you work, the individual case in front of you, the availability of therapies and resources.
Knowledge Summaries are a resource to help reinforce or inform decision making. They do not override the responsibility or judgement of the practitioner to do what is best for the animal in their care.
Pengaruh Penerapan Model Pembelajaran Auditory Intellectualy Repetition (AIR) Terhadap Kemampuan Pemahaman Konsep Matematis Siswa di SMP Muhammadiyah 50 Jakarta
Authors: Muhammad Rizki Ramadhan  
Published: February 2023

This study aims to determine whether there is a significant effect of applying the structured Auditory Intellectually Repetition (AIR) learning model on students' ability to understand mathematical concepts. This research was conducted on class VII students of SMP Muhammadiyah 50 Jakarta in the odd semester of the 2022/2023 school year on numbers. The research method used is a quasi-experimental design (pseudo-experiment). Sampling using cluster random sampling technique, namely the random selection of two classes that are normally distributed, homogeneous, and have the same mean. The sample selected in this study was class VII-1 as the experimental class and class VII-2 as the control class. The research instrument used was a test of the ability to understand students' mathematical concepts in the matter of numbers as many as seven essay questions. Based on the calculation of the research data, the data for both classes come from populations that are normally distributed and have the same or homogeneous variance. Therefore, statistical hypothesis testing was carried out using the t-test with the same variance. Based on the results of testing the hypothesis, the value of which means reject H_0 at the significance level
Morality in Minimally Deceptive Environments
Authors: Mitkidis Panagiotis , Gerlach Philipp , Nichols Aaron , Elbaek Christian , Perkovic Sonja , Ariely Dan 
Published: March 2023

Abstract
Psychologists, economists, and philosophers have long argued that in environments where deception is normative, moral behavior is harmed. In this article, we show that individuals making decisions within minimally deceptive environments do not behave more dishonestly than in nondeceptive environments. We demonstrate the latter using an example of experimental deception within established institutions, such as laboratories and institutional review boards. We experimentally manipulated whether participants received information about their deception. Across three well-powered studies, we empirically demonstrate that minimally deceptive environments do not affect downstream dishonest behavior. Only when participants were in a minimally deceptive environment and aware of being observed, their dishonest behavior decreased. Our results show that the relationship between deception and dishonesty might be more complicated than previous interpretations have suggested and expand the understanding how deception might affect (im)moral behavior. We discuss possible limitations and future directions as well as the applied nature of these findings.
Asymmetrical Group Key Management Based on NTRU
Authors: Jian Zhou , Sun Liyan , Wu Yue 
Published: March 2023

Abstract
Shared key protocol is an important research issue in distributed networks security. The most existing shared key protocols are based on the discrete logarithm or large number decomposition problem. Those protocols’ cost is related to the network scale, and has the problem of high computation cost and message overhead. To solve the question, this paper proposes a shared key agreement protocol based on the lattice key mechanism (sNTRU). All network members share the key material via public channel, after execution those members has a shared encryption key and a number of different decryption keys satisfying the key independence. Compared with the traditional shared key agreement protocol based on DLP or RSA problem, this scheme only needs one round of interaction, and it is more efficient in calculation cost. In security aspect, its security proof can be reduced to the shortest vector difficulty problem, and it can resist the chosen plaintext attack, forwards security and backwards security are guaranteed.
Gene based Disease Prediction and Medicine Providence Through Consortium Reliant Visage Prognostication Model for Iot Health Monitoring
Authors: Narasimhaiah Narahari , Sam Rachapudi Praveen 
Published: March 2023

Abstract
Identifying genes associated with disease plays an extremely important role in the diagnosis and treatment of disease.However, prevailing research carries out only the topological structure of gene that declines the genome frequency and can disclose the inherent properties of disease-genes could increase more computational complexity.In addition, it reduces the population diversity hence those are slow down the classification which leads to overfitting of gene molecules that achieve very low accuracy during prediction.Hence, in this paper efficiently proposed a Disease-Gene Reliant Visage Prognostication (DG-RVP) Model,in order to predict the diseasewhich contains Double Two Extrication (DTE) to extracts the features that are weighted by the homogeneity scores it strengthens the genome frequency. Once feature extraction completed Quantum Coyote Diacritic (QCD) Algorithm needs to improve feature selection through each subset of features represented the quantized individual search position in the region. To optimize a selected featureCatenation-Adore Emissary based Genetic Algorithm (CAE-GA)is implemented, which avoids the early convergence with familiarizing the genetic operators.Based on thepredicted disease Mutual Filtering Algorithmis included that provide the medicine through taking account of noise and bias from gene expression.The outcome shows the proposed model can predict gene-disease-drug association’s superior to futuristic.
Ferroptosis-related lncRNA NRAV affects the prognosis of hepatocellular carcinoma via miR-375-3P/SLC7A11 axis
Authors: Zong Ke , Lin Caifeng , Luo Kai , Deng Yilei , Wang Hongfei , Hu Jianfei , Chen Shi , Li Renfeng 
Published: March 2023

Abstract

Ferroptosis has essential value in cancer treatment. It is significant to explore the new ferroptosis-related lncRNAs(FRLs) prediction model in Hepatocellular carcinoma (HCC) and the potential molecular mechanism of ferroptosis-related lncRNAs. Using differentially expressed lncRNAs associated with ferroptosis, we developed A multi-lncRNA prognostic signature in HCC. We used qRT-PCR to detect lncRNA in HCC cells. We performed functional experiments in vitro and in vivo to determine the biological role of NRAV. Interaction between NRAV and miR-375-3P was confirmed by RNA immunoprecipitation (RIP) assay and dual luciferase reporter. We observe 6 differentially expressed lncRNAs related to the progression of HCC. According to Kaplan-Meier analyses, HCC with a high-risk lncRNAs signature has a poor prognosis. In addition, AUC values confirmed the utility of lncRNAs signature for predicting HCC prognosis. Further functional experiments show that the high expression of NRAV can strengthen the viciousness of HCC. Interestingly, we found that NRAV can enhance iron export and ferroptosis resistance. Further studies showed that NRAV attenuated the inhibition of SLC7A11 by miR-375-3P through competitive binding to miR-375-3P, influencing the prognosis of HCC patients. In conclusion, We developed a novel FRLs prognostic model with crucial predictive value for the prediction of hepatocellular carcinoma. NRAV is essential in ferroptosis induction through the miR-375-3P/SLC7A11 axis.
Taiyuanostachya: An Abominable Angiosperm from the Early Permian of China
Authors: Wang Xin , Fu Qiang 
Published: March 2023

Abstract
Although angiosperms are clearly and strictly defined by their enclosed seeds and enclosed ovules, how old angiosperms are remains controversial. To solve this problem, the only reliable way is digging fossils. The currently widely accepted age for angiosperms is the Early Cretaceous, although this view is facing increasing challenges from pre-Cretaceous fossil evidence of angiosperms as well as molecular clock estimates. Here we report a Palaeozoic angiosperm, Taiyuanostachya gen. nov. This fossil plant has both enclosed ovules and enclosed seeds, features characteristic of angiosperms. Especially, enclosed ovules are idiosyncratic of angiosperms. The occurrences of both characters in Taiyuanostachya declare that angiosperms, the single most diversified plant group on the Earth, have occurred in the Palaeozoic, and the origination of angiosperm appears to be much earlier than assumed previously. Although appearing astonishing, this conclusion is in line with the outcomes of molecular clock estimates done decades ago. The discovery of Taiyuanostachya gen. nov is an abominable challenge for botanists who believe groundlessly that angiosperms cannot exist before the Cretaceous.
An approach to improve the quality of services using a multi-objective differential evolution algorithm in fog computing
Authors: Mehraghaei Leila , rafie mahnaz 
Published: March 2023

Abstract
With the development of the Internet of Things (IoT) technology, a vast amount of the IoT data is generated by mobile applications from mobile devices. Cloudlets provide a paradigm that allows the mobile applications and the generated IoT data to be offloaded from the mobile devices to the cloudlets for processing and storage through the access points (APs) in the Wireless Metropolitan Area Networks (WMANs). However, achieving the goal of optimizing resource utilization, latency, and reliability for WMAN with cloudlet Usability is still a challenge, which in this dissertation aims to optimize these targets with cloudlet Usability. In this dissertation, load unloading strategy in wireless networks of urban areas is analyzed and modeled as a multi-objective optimization problem. Multi-objective problem solving is optimized by the NSDE (Nondominated Sorting Differential Evolution) algorithm and the diversity and convergence of the population are ensured through the mutation and crossover operations. In the individual selection phase, NSDE uses the fast nondominated sorting approach and the crowded-comparison operator to ensure that individuals with the relatively best fitness values in the current population can be preserved for the next generation. Finally, the results of the proposed method were compared and evaluated based on the three criteria of resource utilization, latency and reliability with the results obtained from the genetic algorithm and particle swarm accumulation and Hungarian Algorithm. Experimental results show that the proposed method is effective and efficient. The accuracy of the proposed method compared to the Hungarian algorithm with the criteria of resource utilization and latency and reliability are 23.2%, 26.6% and 21.8%, respectively, and compared to the genetic algorithm is 5.8%, 12.4% and 11.3%, respectively.
An observational study: clinical manifestations and prognosis of left atrial thrombosis in atrial fibrillation
Authors: Yang Qian , Liu Shuang , Wang Jiang , Guo Yulong 
Published: March 2023

Abstract
Background: We did this study to find out the clinical manifestation and prognosis of left atrial thrombosis and its relationship with systemic thromboembolism, hoping to find a better therapy strategy.
Methods: A single-centre retrospective study enrolled patients with definite diagnosis of atrial fibrillation complicated with left atrial thrombosis. Data of general clinical information, anticoagulation medications, thromboembolism events and thrombosis prognosis were recorded and analyzed.
Results: 103 patients were enrolled. Compared with non-valvular atrial fibrillation (NVAF), thrombosis outside the left atrial appendage (LAA) was much more common in valvular atrial fibrillation (VAF) with p=0.003. Total prevalence of systemic thromboembolism was 33.0%. Thrombi disappeared in 78 cases (75.7%) under anticoagulation treatment within two years. There was no significant difference between warfarin, dabigatran and rivaroxaban on thromboembolism events and thrombosis prognosis in NVAF, with p=0.740 and 0.493, respectively.
Conclusions: Atrial fibrillation patients with severe LA remodeling have really high risks of LA thrombosis and systemic thromboembolism. Compared with NVAF, Patients with VAF are more likely to develop the whole LA dysfunction rather than the only LAA dysfunction, manifested as more thrombosis outside the LAA were found. Standard stroke preventing dose of anticoagulants couldn’t deplete all LA thrombi.
Sea ice and oxygen
Authors: Hambler Clive 
Published: March 2023

Abstract
1) Atmospheric oxygen cycles on a seasonal basis, as does carbon dioxide.
2) Photosynthesis is likely contributing to these cycles, but the dominant spatial regions are unknown and the contribution of marine plankton has been assumed to be small.
3) I test and confirm the prediction that seasonal sea ice and oxygen rates are highly coherent at high latitudes, with peak oxygen emission in months of peak rates of sea ice loss within each Hemisphere.
4) The similarity of oxygen dynamics in Northern and Southern Hemispheres is consistent with the dominant seasonal fluxes of oxygen and carbon dioxide being marine.
5) The similar dynamics of oxygen and argon are also consistent with the dominant seasonal fluxes of oxygen being marine.
6) No stronger similarity has yet been found between seasonal changes in oxygen and terrestrial productivity (NDVI), but much more detailed comparison is required.
7) Air temperature near the Poles is very closely synchronized with the seasonal rate of change of oxygen at high latitudes.
8) These results are consistent with a hypothesised major influence of Arctic plankton in the seasonality of 'global' oxygen levels.
9) Determining causality requires far more observations and experimentation.
10) These results provide further evidence that polar phenomena have been neglected in studies of the oxygen and carbon cycles and are consistent with a proposed major role of high latitudes in these cycles.
Evolutionary analysis of the mTOR pathway provide insights into lifespan extension across mammals
Authors: Yang Fei , Liu Xing , Li Yi , Yu Zhenpeng , Huang Xin , Yang Guang , Xu Shixia 
Published: March 2023

Abstract
Background: Lifespan extension has independently evolved several times during mammalian evolution, leading to the emergence of a group of long-lived animals. Though mammalian/mechanistic target of rapamycin (mTOR) signaling pathway is shown as a central regulator of lifespan and aging, the underlying influence of mTOR pathway on the evolution of lifespan in mammals is not well understood.
Results: Here, we performed evolution analyses of 72 genes involved in the mTOR network across 48 mammals to explore the underlying mechanism of lifespan extension. We identified a total of 20 genes with significant evolution signals unique to long-lived species, including 12 positively selected genes, four convergent evolution genes, and five longevity associated genes whose evolution rate related to the maximum lifespan (MLS). Of these genes, four positively selected genes, two convergent evolution genes and one longevity-associated gene were involved in the autophagy response and aging-related diseases, while eight genes were known as cancer genes, indicating the long-lived species might have evolved effective regulation mechanisms of autophagy and cancer to extend lifespan.
Conclusion: Our study revealed genes with significant evolutionary signals unique to long-lived species, which provided new insight into the lifespan extension of mammals and might bring new strategies to extend human lifespan.
Sucrose substitution in cake systems: not a piece of cake
Authors: Delcour Jan , Godefroidt Thibault , Riley Isabella , Ooms Nand , Bosmans Geertrui , Brijs Kristof 
Published: March 2023

Abstract
Successful sucrose replacement in cake recipes requires thorough understanding of its functionalities and those of potential substitutes during cake production. We show that effective sucrose substitutes provide sufficient aqueous cake batter phase (i.e. batter liquor) with low proton mobility (assessed with time-domain 1H NMR relaxometry) and high viscosity, and ensure sufficient air incorporation during batter mixing, along with appropriate timings of starch and protein transitions during baking. Maltitol and oligofructose are very soluble and, like sucrose, provide adequate batter liquor quantities with low water mobility and high viscosity, while poorly soluble mannitol does not. However, differential scanning calorimetry and rapid viscosity analyses show that oligofructose fails to provide appropriate timings of starch gelatinisation and protein denaturation, leading to poor cake texture. That the shortcomings of mannitol (in terms of solubility) and oligofructose (in terms of biopolymer transitions) can be overcome by using mixtures thereof is relevant for the baking industry.
3D Simulation Model for IoD-to-Vehicles Communication in IoD-assisted VANET
Authors: AHMED GAMIL ABDULLAH , Sheltami Tarek Rahil Omar , Mahmoud Ashraf S , Yasar Ansar 
Published: March 2023

Abstract
Vehicle ad-hoc networks (VANETs) have gradually emerged to enhance transportation information, entertainment, safety, and other services. However, such infrastructures have certain limitations, causing intermittent network disconnection. Further, in urban areas, terrain heights act as obstacles and hinder or attenuate transmitted signals. In this study, we propose a dynamic 3D internet of drones (IoD) collaborative communication approach for efficient VANET-assistance (3DIoDAV) by integrating the IoD network and VANET to support terrestrial communication. We model IoD locations as an optimization problem to optimize the IoD nodes in three-dimensional terrain. Improved particle swarm optimization is used to optimally deploy IoD nodes in 3D terrain for minimizing the number of isolated vehicles. The proposed approach considers the terrain profile influence on communication. Therefore, we propose a 3D propagation model for efficient IoD-to-vehicle (IoD2V) communication in 3D space. Experiments are performed based on the received signal from ground vehicles to examine the performance of the proposed model and the 3DIoDAV approach. Simulation results show different behaviors of IoD nodes in two-dimensional (2D) and 3D scenarios. Comparison with 2D VANET-assisted and IoDAV approaches demonstrates the proposed 3DIoDAV approach’s ability to detect terrain obstacles, which guarantees the dispatching of IoD nodes into the most appropriate locations in 3D space, thereby minimizing the impact of terrain obstacles on communication.