Identification of RNA­dependent liquid­liquid phase separation proteins using an artificial intelligence strategy.

RNA-dependent liquid-liquid phase separation (LLPS) proteins play critical roles in cellular processes such as stress granule formation, DNA repair, RNA metabolism, germ cell development, and protein translation regulation. The abnormal behavior of these proteins is associated with various diseases, particularly neurodegenerative disorders like amyotrophic lateral sclerosis and frontotemporal dementia, making their identification crucial. However, conventional biochemistry-based methods for identifying these proteins are time-consuming and costly. Addressing this challenge, our study developed a robust computational model for their identification. We constructed a comprehensive dataset containing 137 RNA-dependent and 606 non-RNA-dependent LLPS protein sequences, which were then encoded using amino acid composition, composition of K-spaced amino acid pairs, Geary autocorrelation, and conjoined triad methods. Through a combination of correlation analysis, mutual information scoring, and incremental feature selection, we identified an optimal feature subset. This subset was used to train a random forest model, which achieved an accuracy of 90% when tested against an independent dataset. This study demonstrates the potential of computational methods as efficient alternatives for the identification of RNA-dependent LLPS proteins. To enhance the accessibility of the model, a user-centric web server has been established and can be accessed via the link: http://rpp.lin-group.cn.

Financial development, resource richness, eco-innovation, and sustainable development: Does geopolitical risk matter?

Financial development and geopolitical risks can significantly affect sustainable development. However, the roles of these factors in sustainable development are rarely investigated. Thus, this study takes into account the role of geopolitical risk while exploring the effects of financial development, natural resource rents, and eco-innovation on sustainable development in the Organization for Economic Co-operation and Development (OECD) countries. To this end, yearly data from 1990 to 2019 is analyzed using advanced econometric tests. The Common Correlated Effects Mean Group (CCEMG) results indicate that financial development and eco-innovation are significantly and positively related to sustainable development. Natural resource rents have a detrimental impact on sustainable development which confirms the presence of the resource curse hypothesis in OECD countries. Furthermore, the results revealed that controlling geopolitical risk is useful in fostering sustainable development. Lastly, the panel Granger causality test unveiled one-way causality from financial development, eco-innovation, natural resource rents, and geopolitical risk to sustainable development. Moreover, causalities are found from geopolitical risk to financial development, eco-innovation and natural resources. These findings suggest that OECD countries should prioritize financial development and eco-innovation policies for sustainable development while mitigating the negative effects of natural resource rents. The geopolitical risk can harm sustainable development, so policymakers should promote international cooperation and risk-sharing.

Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms.

Pipelines play a significant role in liquid and gas resource distribution. Pipeline leaks, however, result in severe consequences, such as wasted resources, risks to community health, distribution downtime, and economic loss. An efficient autonomous leakage detection system is clearly required. The recent leak diagnosis capability of acoustic emission (AE) technology has been well demonstrated. This article proposes a machine learning-based platform for leakage detection for various pinhole-sized leaks using the AE sensor channel information. Statistical measures, such as kurtosis, skewness, mean value, mean square, root mean square (RMS), peak value, standard deviation, entropy, and frequency spectrum features, were extracted from the AE signal as features to train the machine learning models. An adaptive threshold-based sliding window approach was used to retain the properties of both bursts and continuous-type emissions. First, we collected three AE sensor datasets and extracted 11 time domain and 14 frequency domain features for a one-second window for each AE sensor data category. The measurements and their associated statistics were transformed into feature vectors. Subsequently, these feature data were utilized for training and evaluating supervised machine learning models to detect leaks and pinhole-sized leaks. Several widely known classifiers, such as neural networks, decision trees, random forests, and k-nearest neighbors, were evaluated using the four datasets regarding water and gas leakages at different pressures and pinhole leak sizes. We achieved an exceptional overall classification accuracy of 99%, providing reliable and effective results that are suitable for the implementation of the proposed platform.

Environmental degradation, renewable energy, and economic growth nexus: Assessing the role of financial and political risks?

Sustainable development goal (SDG), which focuses on affordable and sustainable energy, provides a practical solution to realize sustainable growth. In addition, this target can encourage the realization of SDG 13 (climate action). However, factors like political and financial risk can impact climate actions and renewable energy. Therefore, this research extends the debate on the ecological footprint (EF) mitigation and achievement of SDGs by evaluating the renewable energy, political risk, financial risk, and EF nexus in an Environment Kuznets Curve (EKC) framework from 1986 to 2018. Panel data for the Association of Southeast Asian Nations (ASEAN) is estimated using second-generation approaches. The CuP-FM test results indicated that the EKC is present in ASEAN in the context of renewable energy, financial risk, and political risk. Furthermore, the findings revealed that controlling political and financial risks is a useful mitigation strategy because EF decreases as these risks are reduced. Notably, a decrease in EF has been linked to the use of renewable energy. These results are verified by using CO2 emissions as an alternative proxy for environmental degradation. Moreover, both financial and political risk Granger cause renewable energy and economic growth indicating that controlling financial and political risk is necessary for sustainable development.

Outcomes of Vasoconstrictor-Induced Non-Occlusive Mesenteric Ischemia of Colon: A Systematic Review.

BACKGROUND: Nonocclusive mesenteric ischemia (NOMI) is due to mesenteric arterial hypoperfusion from several causes, such as hypovolemia, heart failure, shock, vasoconstrictors, and severe liver or renal disease. Vasoconstrictor-induced NOMI is usually iatrogenic or associated with cocaine use. OBJECTIVES: Anecdotal reports suggest that cocaine-induced NOMI has the highest mortality among vasoconstrictors. This review aims to compare the outcomes of colonic NOMI secondary to cocaine versus other vasoconstrictors. METHODS: We conducted a systematic search of MEDLINE from inception through October 2016 to find articles on colonic NOMI. The study's primary outcomes were mortality and hospital length of stay (LOS), while secondary outcomes included the need for surgery. We reported descriptive statistics as percentages or median and interquartile range (IQR). We compared continuous data with the Mann-Whitney test and categorical data with Fisher's exact test; P < 0.05 was statistically significant. RESULTS: Of the 59 studies, 20 case reports and 3 case series (n= 27 patients) met the inclusion criteria. There was no difference in mortality between cocaine-induced NOMI and non-cocaine NOMI (P=1.0). There were statistically significant differences between cocaine and non-cocaine vasoconstrictor-induced colonic NOMI regarding surgery (60% vs. 5.8%, P=0.03) and median LOS (7 days vs. 4 days, P=0.04). CONCLUSION: Cocaine-induced NOMI and non-cocaine NOMI both appear to have a relatively high but similar mortality rate, but the former is associated with increased requirement for surgery and LOS; prompt recognition of this clinical entity is required to improve outcomes.

A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins.

Thermophilic proteins have various practical applications in theoretical research and in industry. In recent years, the demand for thermophilic proteins on an industrial scale has been increasing; therefore, the engineering of thermophilic proteins has become a hot direction in the field of protein engineering. However, the exact mechanism of thermostability of proteins is not yet known, for engineering thermophilic proteins knowing the basis of thermostability is necessary. In order to understand the basis of the thermostability in proteins, we have made a statistical analysis of the sequences, secondary structures, hydrogen bonds, salt bridges, DHA (Donor-Hydrogen-Accepter) angles, and bond lengths of ten pairs of thermophilic proteins and their non-thermophilic orthologous. Our findings suggest that polar amino acids contribute to thermostability in proteins by forming hydrogen bonds and salt bridges which provide resistance against protein denaturation. Short bond length and a wider DHA angle provide greater bond stability in thermophilic proteins. Moreover, the increased frequency of aromatic amino acids in thermophilic proteins contributes to thermal stability by forming more aromatic interactions. Additionally, the coil, helix, and loop in the secondary structure also contribute to thermostability.

Do heavy-duty and passenger vehicle emissions standards reduce per capita emissions of oxides of nitrogen? Evidence from Europe.

Oxides of nitrogen are among the most dangerous emissions to human health and to the environment. In European nations, road transportation contributes to approximately 40% of emissions of oxides of nitrogen with the dominant share coming from passenger and freight transport. To help mitigate emissions of oxides of nitrogen, the European Union (EU) has implemented vehicular emissions standards. This paper studies the effect of EU vehicular emissions standards on per capita emissions of oxides of nitrogen in European nations during the period 2000 to 2017, both for on-road vehicular emissions and at the economy level. To do this, pollution is modelled as a byproduct of economic production. After controlling for economic growth, historical per capita levels of emissions of oxides of nitrogen, and a series of geographic and technological factors, it is determined that the vehicular emissions standards put in place by the EU decrease per capita levels of emissions of oxides of nitrogen. More precisely, reducing the heavy duty emissions standard by 1 g/kWh leads to as much as a 7% reduction in per capita on-road emissions of oxides of nitrogen. Reducing the passenger vehicle emissions standards for both diesel and gasoline engines enhances this effect, resulting in an even greater reduction in per capita emissions of oxides of nitrogen. These results further suggest that any rebound effect taking place is outweighed by the reduction in emissions of oxides of nitrogen from lowering emissions standards.

Rotterdam and Marshall Scores for Prediction of in-hospital Mortality in Patients with Traumatic Brain Injury: An observational study.

Background: We aimed to assess the prognostic value of Rotterdam and Marshall scoring systems to predict in-hospital mortality in patients with traumatic brain injury (TBI).Methods: A retrospective analysis was conducted for patients with TBI who underwent head computerized tomography (CT) scan at a Level I trauma center between 2011 and 2018. Receiver operating characteristic (ROC) curves were used to determine the cutoff values for predicting in-hospital mortality.Results: A total of 1035 patients with TBI were included with a mean age of 30 years. The mean Rotterdam and Marshall scores were higher among non-survivors (p = .001). Patients with higher Rotterdam (>3) or Marshall (>2) CT scores were older, had higher injury severity scores and in-hospital mortality and had lower GCS and blood ethanol levels than those with lower scores. The cutoff point of Rotterdam score was 3.5 (sensitivity, 61.2%; specificity, 85.6%) and Marshall score was 2.5 (74.3% sensitivity and 76.3% specificity). Multivariable logistic regression analyses showed that Marshall and Rotterdam scoring systems were independent predictors of mortality (odds ratio 8.4; 95% confidence interval 4.95-14.17 and odds ratio 4.4; 95% confidence interval 2.36-9.39, respectively).Conclusion: Rotterdam and Marshall CT scores have independent prognostic values in patients with TBI even in alcoholic patients.

The role of trading environment-friendly goods in environmental sustainability: Does green openness matter for OECD countries?

Achieving carbon neutrality targets is a major challenge for Organization for Economic Co-operation and Development (OECD) countries that experience mounting ecological degradation over the last few decades. To deal with this situation, the trading of green products may play a crucial role. However, previous studies have not captured the net impact of green trading, and also the international trade basket used in these studies is proxied by the trade openness index including both environment-friendly and not-so-friendly goods. To provide a solution, this research intends to capture the net effects of green goods on the environment over the period 2003 to 2016 in 35 OECD countries. This study extends the literature by computing a new Green Openness Index based on the OECD Combined List of Environmental Goods (CLEG) basket that consists of 255 products. After this, an empirical model based on the Environmental Kuznets Curve (EKC) hypothesis is developed to test the role of the Green Openness Index in environmental sustainability using methodology robust against heterogeneity and cross-sectional dependence. The outcomes unfolded the validity of the EKC hypothesis in 35 OECD countries. Empirical estimates confirmed that the Green Openness Index, which considers traditional environment-friendly goods as well as environmentally preferable goods, stimulates environmental sustainability. Finally, numerous policies are directed to accomplish carbon neutrality targets.

Emergency chest wall reconstruction in open pneumo-thorax from gunshot chest: A case report.

Chest trauma, penetrating or blunt is common in this era of motor vehicle accidents, violence and terrorism in South Asia. Islamabad is the capital of Pakistan but there is no dedicated chest surgery unit in any government sector hospitals. Gunshot chest, is therefore managed by general surgery team in our tertiary care setting i.e. Federal Government Polyclinic Hospital and Post Graduate Medical Institute, Islamabad. We report a case of gunshot chest with lung contusion and open pneumothorax with a chest wall defect of 10 x 15 cm. in March 2015, this young man presented in emergency department of Federal Government Polyclinic Hospital (FGPC), Post Graduate Medical Institute (PGMI) Islamabad in shock after self-inflicted point blank suicidal gunshot to his left anterolateral chest. After primary resuscitation, the patient was shifted to OR, and a left anterolateral thoracotomy performed. Lung contusion was repaired and chest drain placed. The challenging task of closing the huge chest wall defect was performed by rotating the left latissimus dorsi muscle flap. The patient was shifted to ICU and remained stable postoperatively.

Quality characteristics of the processed dates vinegar under influence of ultrasound and pulsed electric field treatments.

This research aimed to evaluate the influences of the pulsed electric field (PEF), ultrasound (US), and combination between them (PEF + US) on the quality of vinegar processed from date palm fruits compared with untreated vinegar (UT). Physicochemical properties, free amino acids (FAA), volatile components, organic acids, total phenolics and flavonoids, and sensory analysis were determined. The results showed that there were no significant differences in pH, total titratable acidity, ethanol content, and total sugar in all treated vinegar compared with UT. However, the values were found to be decreased (PEF + US < PEF < US < UT). Twenty-eight compounds were identified in the vinegar treated by PEF + US as the highest number of components, followed by PEF and US (23 and 22 components, respectively), compared with 19 compounds identified in UT. Compared with UT, there was a significant increase (p < 0.05) in the total FAA in dates vinegar among all treated samples (UT < US < PEF < PEF + US). Total phenolic and flavonoids contents results indicated that there was a significant increase (p < 0.05) in the treated vinegar compared with UT. Sensory analysis results indicated that no significant difference (p < 0.05) in all the parameters, except for a quite significant difference (p < 0.05) in the overall acceptability between the treated vinegar. In this study, vinegar was successfully produced from date palm fruits. Therefore, PEF + US are capable not only in enhancing the extraction process but also in the production of vinegar with good quality.

Combined impact of pulsed electric field and ultrasound on bioactive compounds and FT-IR analysis of almond extract.

The aim of this paper is to investigate the combined impact of pulsed electric field (PEF) and ultrasound (US) to evaluate the physicochemical, bioactive compounds and chemical structure of almond extract. Almond extract was first treated with PEF and then with US. Combined treatment (PEF-US) has attained the highest value of total phenolics, total flavonoids, condense tannins, anthocyanin contents and antioxidant activity in DPPH, reducing power and metal chelating activity than all other treatments. Among all those treatments, there was slightly visible difference in the color. Moreover, FT-IR spectra indicate that the effect of PEF-US on almond extract did not produce new carbonyl compounds, but led to the higher concentration of these compounds. This study demonstrated that the PEF-US could be useful for the extraction of bioactive compounds as well as improving the stability of volatile compounds.

Renal Artery Injury Secondary to Blunt Abdominal Trauma - Two Case Reports.

BACKGROUND: Blunt abdominal trauma is routinely encountered in the Emergency Department. It is one of the main causes of morbidity and mortality amongst the population below the age of 35 years worldwide. Renal artery injury secondary to blunt abdominal trauma however, is a rare occurrence. Here, we present two such cases, encountered in the emergency department sustaining polytrauma following motor vehicle accidents. CASE REPORT: We hereby report two interesting cases of renal artery injury sustained in polytrauma patients. In these two cases we revealed almost the entire spectrum of findings that one would expect in renal arterial injuries. CONCLUSIONS: Traumatic renal artery occlusion is a rare occurrence with devastating consequences if missed on imaging. Emergency radiologists need to be aware of the CT findings so as to accurately identify renal artery injury. This case report stresses the need for immediate CT assessment of polytrauma patients with suspected renal injury, leading to timely diagnosis and urgent surgical or endovascular intervention.

Acute subarachnoid hemorrhage. An unusual clinical presentation of cerebral venous sinus thrombosis.

Ruptured cerebral aneurysm is the most common cause of spontaneous subarachnoid hemorrhage (SAH). Rarely cerebral venous sinus thrombosis (CVST) may present initially as acute SAH, and clinically mimics aneurysmal bleed. We report 2 cases of CVST who presented with severe headache associated with neck pain and focal seizures. Non-contrast brain CT showed SAH, involving the sulci of the convexity of hemisphere (cSAH) without involving the basal cisterns. Both patients received treatment with anticoagulants and improved. Awareness of this unusual presentation of CVST is important for early diagnosis and treatment. The purpose of this paper is to emphasize the inclusion of vascular neuroimaging like MRI with venography or CT venography in the diagnostic workup of SAH, especially in a patient with strong clinical suspicion of CVST or in a patient where neuroimaging showed cSAH.

Parasiticidal and brine shrimp cytotoxicity potential of crude methanolic extract of rind of Punica granatum Linn against round worms and tape worms.

Rind of Punica granatum is traditionally used for anthelmintic purposes. The current work describes the possible anthelmintic activity of crude methanolic extract of Punica granatum (Pg. Cr) against round worms (Ascaridia galli) and the tape worms (Raillietina spiralis). Brine shrimp cytotoxicity is also performed. Brine shrimp cytotoxic activity was tested using different concentrations (1000 µg/mL, 100 µg/mL and 10 µg/mL) of Pg.Cr. In vitro anthelmintic activity of Pg. Cr was determined against the parasites using albendazole and piperazine citrate as standard anthelmintic drugs in concentration 10 mg/ml. LC50 value for Brine shrimp cytotoxicity was 189.44 ±28 µg/mL. In test concentration of 40mg/ml of the Pg. Cr, Raillietina spiralis was paralyzed in 23 minutes. However, for parasiticidal activity (death of the parasite), it took less time (40 minutes) as compared to standard Albendazole. Time taken for death of the parasite Raillietina spiralis, in concentration 40 mg /ml, is 40 min. While standard drugs took more time to kill the Raillietina spiralis. Pg. Cr took 19 minutes to paralyze the Ascaridia galli at concentration 40 mg/ml whereas; it took 48 minutes for to kill the parasite Ascaridia galli. The current work confirms the traditional use of rind of Punica granatum as anthelmintic against Raillietina spiralis and Ascaridia galli. Results of brine shrimp cytotoxicity assay warrant for the isolation of cytotoxic compounds. List of abbreviation- Pg. Cr = Crude methanolic extract of Punica granatum.

Assessing the interplay between political globalization, social globalization, democracy, militarization, and sustainable development: evidence from G-7 economies.

Sustainable development can act as a catalyst in boosting environmental sustainability and human welfare by alleviating unsustainable production and consumption practices. Political globalization emerges as indispensable in increasing global environmental governance. In addition, social globalization, militarization, and democracy can also affect sustainable development. In light of the overlooked impacts of these crucial variables on sustainable development within prior research studies, this study investigates the heterogeneous effects of political globalization, militarization, social globalization, and democracy on sustainable development from 1990 to 2019 in the G-7 panel. The results obtained from the application of the methods of moment quantile regressions reveal that a one-percentage-point increase in political globalization yields a significant enhancement in sustainable development, ranging from 0.015 to 0.017% across the 10th to 90th quantiles. Contrarily, sustainable development exhibits a decline within the range of 0.025 to 0.028% across the 10th to 90th quantiles, on account of a 1% increase in social globalization. Likewise, militarization hampers sustainable development with a slightly increasing effect from the 10th to 90th quantiles. Gross fixed capital formation decreases sustainable development while the relationship between democracy and sustainable development indicates a negative correlation, which has not achieved statistical significance across the majority of quantiles. These novel outcomes are also verified by using some other regression tests. Subsequently, a detailed policy framework is presented for the purpose of fostering sustainable growth within the G-7 group.

Distributed estimation and control over mobile sensor networks with jointly connected topology: Event-triggered approach.

This article deals with the problem of distributed event-triggered tracking control in mobile sensor networks (MSNs) with a jointly connected topology (JCT). Two schemes are proposed for linear and Lipschitz nonlinear MSNs to estimate and track a mobile target. The proposed schemes are established using an event-triggered method to avoid continuous exchange of information between sensor nodes. In comparison with the other research under event-triggered communication strategies where states of the target are available, this paper considers that the states of the target are not available and two event-triggered algorithms are established for sensor nodes to estimate and follow the states of the continuous-time targets that can be seen in various real-world applications. Also, the proposed schemes are designed for the JCT with disconnected graphs which means the communication topology of the MSN is not required to be connected for all time instants. By employing the Cauchy convergence criterion and a common Lyapunov function, sufficient conditions are also established to ensure event-based tracking control subject to JCT. The effectiveness of the proposed work is verified by presenting simulation examples.

Linking clean energy consumption, globalization, and financial development to the ecological footprint in a developing country: Insights from the novel dynamic ARDL simulation techniques.

Developing countries have been facing economic difficulties for over three and a half decades due to numerous factors, including fossil fuel consumption and dwindling biocapacity. It is necessary to pinpoint the factors that may be culpable for poor environmental quality leading to a rising ecological footprint (EFP). This study explores the effect of clean energy, financial development (FDV), and globalization on the EFP in a developing country using the novel dynamic ARDL simulation techniques and the bootstrap causality test. The findings suggest that green energy has no meaningful impact on the EFP. Globalization and FDV significantly reduce the EFP by 0.25% and 0.08%, respectively. Besides, the findings confirm the existence of the EKC hypothesis. Furthermore, the causality results affirm a unidirectional causality from globalization and FDV to EFP, while economic growth drives globalization. Also, a one-way causality flows from globalization to FDV, just as FDV Granger causes green energy. In line with the findings, the study recommends that public policies focus on funding environmental-friendly technologies and green innovations. The funding must be on recently developed energy-saving technologies that can ensure complementarity between increased economic growth and environmental deterioration.

Drug-Induced Autoimmune Hepatitis: An Unusual Adverse Event of Atorvastatin Therapy.

Drug-induced autoimmune hepatitis (AIH) is characterized by acute or chronic hepatic injury coupled with autoantibody development, hypertransaminasemia, and idiopathic AIH features on liver biopsy. Atorvastatin-induced AIH is a rare but well-documented life-threatening adverse event. We report a case of atorvastatin-induced AIH in a 57-year-old female who presented with worsening fatigue, jaundice, and deranged liver function tests. She had been prescribed atorvastatin 20 mg daily three months prior. Her clinical presentation, imaging findings, and serological testing were suggestive of drug-induced AIH. A liver biopsy confirmed a drug-induced autoimmune picture, and she was diagnosed with atorvastatin-induced AIH after ruling out all other possible causes. Her clinical presentation and liver enzymes improved after prolonged treatment with prednisone.

Assessing the role of green investments and green innovation in ecological sustainability: From a climate action perspective on European countries.

In recent years, economies have been increasingly focused on achieving the United Nations' Sustainable Development Goals, recognizing that their achievement is vital to ecological sustainability and green growth. In this context, this paper focuses on investigating the impact of green innovation, green investment, economic growth, and natural resources on ecological sustainability in the five best-performing European Union countries in terms of the Climate Change Performance Index. This study uses the load capacity factor as a comprehensive proxy of ecological sustainability and also assesses the load capacity curve hypothesis in sample nations. Continuously updated fully modified and continuously updated bias-corrected estimators are used to analyze the data from 1995 to 2020 in the context of climate action perspective. The econometric analysis revealed that the load capacity curve hypothesis is invalid in the sample countries. Natural resources decrease environmental sustainability. However, green investments and green innovations contribute to environmental quality and thereby, can be used for effective climate action. Based on these findings, the study recommends specific policies to achieve the Sustainable Development Goals, with a particular focus on target 13.