Survival and risk analysis of patients with COVID-19 in Iran

Objective:To evaluate the risk factors of death caused by COVID-19 in Iran.Methods:This study was a retrospective cohort study from February 20,2020,to August 22,2022,in the hospitals in Isfahan,Iran.The data were collected through a researcher-made checklist.To determine the risk factors of the death,logistic regression and Cox regression models were used.For each variable,the odds ratio and 95%confidence interval were also reported.Results:1885 Patients were included.The age of deceased persons was significantly higher than that of the surviving persons.The risk of death for the age group above 60 years was about 14 times higher than that of people aged 19-35 years[95%CI:14.41(2.02-102.99),P<0.01].Hypertension[95%CI:1.92(1.47-2.5),P<0.01],diabetes[95%CI:1.62(1.23-2.13),P<0.001],and chronic obstructive pulmonary disease[95%CI:1.92(1.47-2.50),P<0.01]were also risk factors of mortality.Conclusions:This study reveals that the mortality rate due to COVID-19 is associated with old age,longer hospitalization in the ICU,increased length of stay,and comorbidities of high blood pressure,diabetes,and chronic pulmonary disease.

Clinical characteristics of acute non-varicose upper gastrointestinal bleeding and the effect of endoscopic hemostasis

BACKGROUND Acute non-variceal upper gastrointestinal bleeding(ANVUGIB)constitutes a prevalent emergency within Gastroenterology,encompassing 80%-90%of all gastrointestinal hemorrhage incidents.This condition is distinguished by its abrupt onset,swift progression,and notably elevated mortality rate.AIM To gather clinical data from patients with ANVUGIB at our hospital in order to elucidate the clinical characteristics specific to our institution and analyze the therapeutic effectiveness of endoscopic hemostasis.METHODS We retrospectively retrieved the records of 532 patients diagnosed with ANVUGIB by endoscopy at our hospital between March 2021 and March 2023,utilizing our medical record system.Data pertaining to general patient information,etiological factors,disease outcomes,and other relevant variables were meticulously collected and analyzed.RESULTS Among the 532 patients diagnosed with ANVUGIB,the male-to-female ratio was 2.91:1,with a higher prevalence among males.Notably,43.6%of patients presented with black stool as their primary complaint,while 27.4%had hematemesis as their initial symptom.Upon admission,17%of patients exhibited both hematemesis and black stool,while most ANVUGIB patients primarily complained of overt gastrointestinal bleeding.Urgent routine blood examinations at admission revealed that 75.8%of patients had anemia,with 63.4%experiencing moderate to severe anemia,and 1.5%having extremely severe anemia(hemoglobin<30 g/L).With regard to etiology,53.2%of patients experienced bleeding without a definitive trigger,24.2%had a history of using gastric mucosa-irritating medications,24.2%developed bleeding after alcohol consumption,2.8%attributed it to improper diet,1.7%to emotional excitement,and 2.3%to fatigue preceding the bleeding episode.Drug-induced ANVUGIB was more prevalent in the elderly than middle-aged and young individuals,while bleeding due to alcohol consumption showed the opposite trend.Additionally,diet-related bleeding was more common among the young age group compared to the middle-aged group.Gastrointestinal endoscopy identified peptic ulcers as the most frequent cause of ANVUGIB(73.3%),followed by gastrointestinal malignancies(10.9%),acute gastric mucous lesions(9.8%),and androgenic upper gastrointestinal bleeding(1.5%)among inpatients with ANVUGIB.Of the 532 patients with gastrointestinal bleeding,68 underwent endoscopic hemostasis,resulting in an endoscopic treatment rate of 12.8%,with a high immediate hemostasis success rate of 94.1%.

Etitiological Relationship between Hyperlipidemia and Acute Pancreatitis

Hyperlipidemia is a kind of pancreatitis caused by high triglyceride levels in the blood. The morbidity and mortality of this disease continue to increase worldwide, and it has become one of the most common gastrointestinal diseases in developed countries worldwide. Although many studies have been conducted, the pathogenesis still cannot be defined. Many studies have shown that this may be related to the triglyceride decomposition products free fatty acids are the main toxic substances, which can directly damage pancreatic acinar cells and vascular endothelial cells, causing tissue ischemia and acidic environment. Therefore, this paper focuses on the correlation of triglycerides and their decomposition products in plasma and provides evidence on the pathogenesis of AP and the disease progression of AP. Finally, the future potential to prevent and treat acute pancreatitis by some new drugs to reduce plasma triglycerides is summarized.

Analysis and Response of Steel Stacking Accidents in Hot Rolling Coilers

Through long-term production and maintenance practice,various types of stacking steel in the 2250mm hot rolling coiler of Ma Steel were tracked and analyzed,and the causes of stacking steel were summarized.Cor-responding measures were formulated to effectively reduce the probability of stacking steel.

Omadacycline for the treatment of Legionella pneumophila pneumonia caused by drowning:a case report

Drowning is a major cause of preventable death and pathology worldwide.Every year,more than 295,000people die from accidental drowning.Ninety percent of accidental drowning deaths occur in low-and middleincome countries,and nearly half occur in people under the age of 25.

Age-specific causes of upper gastrointestinal bleeding in children

The etiology of upper gastrointestinal bleeding(UGIB)varies by age,from newborns to adolescents,with some of the causes overlapping between age groups.While particular causes such as vitamin K deficiency and cow’s milk protein allergy are limited to specific age groups,occurring only in neonates and infants,others such as erosive esophagitis and gastritis may be identified at all ages.Furthermore,the incidence of UGIB is variable throughout the world and in different hospital settings.In North America and Europe,most UGIBs are nonvariceal,associated with erosive esophagitis,gastritis,and gastric and duodenal ulcers.In recent years,the most common causes in some Middle Eastern and Far Eastern countries are becoming similar to those in Western countries.However,variceal bleeding still predominates in certain parts of the world,especially in South Asia.The most severe hemorrhage arises from variceal bleeding,peptic ulceration,and disseminated intravascular coagulation.Hematemesis is a credible indicator of a UGI source of bleeding in the majority of patients.Being familiar with the most likely UGIB causes in specific ages and geographic areas is especially important for adequate orientation in clinical settings,the use of proper diagnostic tests, and rapid initiation of the therapy. The fundamental approach to the management of UGIBincludes an immediate assessment of severity, detecting possible causes, and providing hemodynamic stability,followed by early endoscopy. Unusual UGIB causes must always be considered when establishing a diagnosis inthe pediatric population because some of them are unique to children. Endoscopic techniques are of significantdiagnostic value, and combined with medicaments, may be used for the management of acute bleeding. Finally,surgical treatment is reserved for the most severe bleeding.

Knowledge-enriched joint-learning model for implicit emotion cause extraction

Emotion cause extraction(ECE)task that aims at extracting potential trigger events of certain emotions has attracted extensive attention recently.However,current work neglects the implicit emotion expressed without any explicit emotional keywords,which appears more frequently in application scenarios.The lack of explicit emotion information makes it extremely hard to extract emotion causes only with the local context.Moreover,an entire event is usually across multiple clauses,while existing work merely extracts cause events at clause level and cannot effectively capture complete cause event information.To address these issues,the events are first redefined at the tuple level and a span-based tuple-level algorithm is proposed to extract events from different clauses.Based on it,a corpus for implicit emotion cause extraction that tries to extract causes of implicit emotions is constructed.The authors propose a knowledge-enriched jointlearning model of implicit emotion recognition and implicit emotion cause extraction tasks(KJ-IECE),which leverages commonsense knowledge from ConceptNet and NRC_VAD to better capture connections between emotion and corresponding cause events.Experiments on both implicit and explicit emotion cause extraction datasets demonstrate the effectiveness of the proposed model.

展望美国银行业危机:原因、后果和前景

The successive failures of Silicon Valley Bank and two other United States(US) banks triggered a wave of market panic. This study argues that this case should be viewed as a systemic crisis, highlighting the fragility of the US banking system. Although the turmoil in the banking sector gradually subsided owing to the strong intervention of the US government, it has not ended. Instead, the banking turmoil has transformed into a long-lasting “slow crisis,” which can be characterized as “boiling a frog in warm water,” presenting a comprehensive socio–economic crisis. From a historical and global perspective, the current banking crisis in the US has developed against the backdrop of the once-in-a-century changes that shape the world. Furthermore, its evolutionary path will be different from that of previous ones.

Prediction of high-speed train delay propagation based on causal text information

The delay-causing text data contain valuable information such as the specific reasons for the delay,location and time of the disturbance,which can provide an efficient support for the prediction of train delays and improve the guidance of train control efficiency.Based on the train operation data and delay-causing data of the Wuhan-Guangzhou high-speed railway,the relevant algorithms in the natural language processing field are used to process the delay-causing text data.It also integrates the train operatingenvironment information and delay-causing text information so as to develop a cause-based train delay propagation prediction model.The Word2vec model is first used to vectorize the delay-causing text description after word segmentation.The mean model or the term frequency-inverse document frequency-weighted model is then used to generate the delay-causing sentence vector based on the original word vector.Afterward,the train operating-environment features and delay-causing sentence vector are input into the extreme gradient boosting(XGBoost)regression algorithm to develop a delay propagation prediction model.In this work,4 text feature processing methods and 8 regression algorithms are considered.The results demonstrate that the XGBoost regression algorithm has the highest prediction accuracy using the test features processed by the continuous bag of words and the mean models.Compared with the prediction model that only considers the train-operating-environment features,the results show that the prediction accuracy of the model is significantly improved with multi-ple regression algorithms after integrating the delay-causing feature.

Reflections on the Toxicity and Safety of Traditional Chinese Medicine Combined with the Cases of Nephrotoxicity and Hepatotoxicity

This paper analyzes the relationship between toxicity and safety of traditional Chinese medicine(TCM)based on the cases of current nephrotoxicity and hepatotoxicity,and summarizes the literature on hepatotoxicity and nephrotoxicity.It is found that the main reasons for the toxic reaction of TCM are own factors of drugs,irregular administration of medicine and individual difference.However,as long as the"quality"and"quantity"of TCM are guaranteed,the toxicity of TCM can be controlled within the safety range.

Unified Understanding of Cosmological Energy Fields: Exploring Gravitation, Repulsion, and More

First, we develop a unitary process that can explain all four physical activations: electromagnetic wave, electromagnetic force, repulsion, and attraction. Second, it is clarified that cosmological and physical entities relate to different levels of existence in the universe and, hence, cannot be considered under the same paradigm. We know that biological entities use physical substances as executants;analogously, physical entities use cosmological substances as executants. Therefore, we have introduced new terms for the cosmological substances used as executants in physical activities. Third, this study introduces the primary elements of the cosmological world, such as visibility, forcibility, fullness, and hollowness, and defines them according to their attributes. This study explains how different combinations and placements of primary elements create different cosmological fields. These fields are used in all physical activations. Finally, we explain the entity model and how all physical activations occur. This study concludes that all physical activations use primary elements and follow the same universal law. Therefore, this study addresses the untouched subject of the creation of repulsion and attraction (gravitation). Furthermore, it addresses several cosmic mysteries that are yet to be resolved.

The Cause and Prevention of Major Earthquakes in the World

On February 6, 2023, a series of severe earthquakes occurred in eastern Turkey and neighboring areas of Syria. It was the largest earthquake in the world in more than a year, and the largest earthquake in the history of Turkey. Living under the fear of earthquakes, the people in Turkey and other earthquake zones have hoped again and again to change their fate, but they have to resign themselves to fate. Thus, the author analyzed the causes of large earthquakes such as Turkey earthquake, and found that some of the world’s potential seismic zones have been eroded by sea water or river water for a long time to create a series of surface faults. When the moon gets close to these faults, it will have a huge gravitational pull on them, and even cause the fault to move, resulting in strong earthquakes. Especially in some seismic zones, earthquakes are occurring more and more frequently and their intensity is getting bigger and bigger. The main reason is that the opening of the Arctic shipping route and the exploration and exploitation of oil and gas have caused the melting of the Arctic ice sheet and the loss of glaciers, which has led to the weakening of the Arctic vortex and the reduction of the compression ability of the polar vortices to the clouds, thus slowing down the rotation of the Earth and thus the revolution of the moon. So the moon gradually moves in a spiral toward the Earth;as the moon orbit close to the Earth, the moon’s gravity on the surface faults will gradually strengthen, so it is easy to cause the surface fault dislocations, resulting in frequent earthquakes or strong earthquakes. So the author puts forward some measures to prevent frequent and strong earthquakes.

Review of Maternal Deaths in Two Health Regions of Togo: About 69 Cases (Epidemiological and Sociodemographic Aspects)

Introduction: Maternal mortality is a public health problem. It is common in hospitals in Togo. From 401 per 100,000 live births in 2013, in 2017 we are 396 per 100,000 live births. Despite several programs ranging from subsidized caesarean section (CARMA) yezou (assistance for pregnant women), the establishment of maternal death reviews in maternity wards to compensate for avoidable causes;we are seeing preventable maternal and fetal deaths in our hospitals. No study on these reviews has been done since its establishment. The objective of our study was to determine the frequency of reviews of maternal deaths, the epidemiological, sociodemographic aspects and the causes of these reviewed maternal deaths. Method: This was a descriptive and cross-sectional, multicenter study lasting four and a half years, from the 1st of January 2018 to the 30th of June 2022, relating to the review of maternal deaths in three reference hospitals of two health regions of south Togo. Any maternal death occurring in one of these hospitals during the study period was included in this survey. The data collected using a collection sheet were analyzed using Epi Info version 7 software. Results: During the study period, the maternal mortality ratio in the three hospitals was 722.3 per 100,000 live births. Only 12.2% of maternal deaths were reviewed in the three hospitals. The patients were young with an average age of 29.9 years, housewives (71%), uneducated (21.7%). The causes of maternal deaths were dominated by direct obstetric causes (89.7%). The main cause was hemorrhage (72.5%), the main cause being immediate postpartum hemorrhage (50.7%). Conclusion: This study shows that the maternal mortality ratio still remains high in our country with a low frequency of maternal death reviews. Young, poor, uneducated women are the most affected by these deaths, the main cause of which remains hemorrhage. Preventive measures deserve to be taken at all levels with a view to reducing maternal mortality.

Logging-based assessment of low-resistivity oil zones:A case study from Sudan

The reservoirs in the N oilfield in Sudan feature a complex sedimentary environment,which has led to a widespread development of low-resistivity oil zones,accounting for as high as 37%of the total oil zones.In this case,a large number of oil zones will be misinterpreted using conventional methods.Based on the analysis of the core data and logging curves of the study area,this study concludes that the lowresistivity oil zones are formed mainly due to the high irreducible water saturation caused by the high content of illite and smectite and complex pore structure,the additional electrical conductivity induced by clay minerals,and the difference in formation water salinity between the oil zones and water zones.Furthermore,four methods are proposed to qualitatively identify these oil zones and water zones,namely the relationship analysis of five reservoir properties,cross-plotting of sensitive parameters,analysis of pressure testing data,and multi-well correlation.Furthermore,the study quantitatively calculates the initial oil saturation using the capillary pressure data,thus avoiding the conventional empirical saturation formulas depending on electrical resistivity and solving the difficulty in calculating oil saturation of low-resistivity oil zones.Finally,precise logging processing and interpretation of 95 wells in the study area are conducted using the above-mentioned comprehensive assessment system for low-resistivity oil zones.As a result,59 oil zones are newly discovered in 43 wells.Moreover,it is recommended that 17 oil zones in 12 wells should be tested,of which 11 oil zones have been tested as recommended,all proven to be high production oil zones after perforation.The coincidence rate of logging interpretation increases from 75%to 94.3%,and the original oil in place(OOIP)increases by 57.42 million barrels.All these indicate that the assessment system proposed is suitable for low-resistivity zones.

The Effect of Coding Method on Cause-of-Death Rankings

Background: Cause-of-death rankings are often used for planning or evaluating health policy measures. In the European Union, some countries produce cause-of-death statistics by a manual coding of death certificates, while other countries use an automated coding system. The outcome of these two different methods in terms of the selected underlying cause of death for statistics may vary considerably. Therefore, this study explores the effect of coding method on the ranking of countries by major causes of death. Method: Age and sex standardized rates were extracted for 33 European (related) countries from the cause-of-death registry of the European Statistical Office (Eurostat). Wilcoxon’s rank sum test was applied to the ranking of countries by major causes of death. Results: Statistically significant differences due to coding method were identified for dementia, stroke and pneumonia. These differences could be explained by a different selection of dementia or pneumonia as underlying cause of death and by a different certification practice for stroke. Conclusion: Coding method should be taken into account when constructing or interpreting rankings of countries by cause of death.

Machine Learning-Based Alarms Classification and Correlation in an SDH/WDM Optical Network to Improve Network Maintenance

The evolution of telecommunications has allowed the development of broadband services based mainly on fiber optic backbone networks. The operation and maintenance of these optical networks is made possible by using supervision platforms that generate alarms that can be archived in the form of log files. But analyzing the alarms in the log files is a laborious and difficult task for the engineers who need a degree of expertise. Identifying failures and their root cause can be time consuming and impact the quality of service, network availability and service level agreements signed between the operator and its customers. Therefore, it is more than important to study the different possibilities of alarms classification and to use machine learning algorithms for alarms correlation in order to quickly determine the root causes of problems faster. We conducted a research case study on one of the operators in Cameroon who held an optical backbone based on SDH and WDM technologies with data collected from 2016-03-28 to “2022-09-01” with 7201 rows and 18. In this paper, we will classify alarms according to different criteria and use 02 unsupervised learning algorithms namely the K-Means algorithm and the DBSCAN to establish correlations between alarms in order to identify root causes of problems and reduce the time to troubleshoot. To achieve this objective, log files were exploited in order to obtain the root causes of the alarms, and then K-Means algorithm and the DBSCAN were used firstly to evaluate their performance and their capability to identify the root cause of alarms in optical network.

Analysis of the Causes of the Intensity Enhancement of the Typhoon “Tiange”

This paper analyzes the causes of the offshore strength enhancement of Typhoon Tiange (No. 1713) from four aspects: high and low layer divergence, vertical wind shear, southwest monsoon transport, offshore sea temperature and weak cold air. The conclusions are as follows: The high-level airflow divergence enhancement and positive vorticity advection in the offshore, strengthen the middle rise movement of the “Tiange”, and the ascending movement enhances the strength of the “Tiange” by strengthening the lower layer convergence;The high offshore sea temperature and sea temperature are changing temperature, which also has a certain effect on the strengthening of “Tiange” in the offshore;The strengthening of the southwest warm and humid airflow provides sufficient water vapor and energy for the development of “Tiange”, which is beneficial to the maintenance of the typhoon warm heart structure;The intrusion of weak cold air, enhanced the radiation cooperation of the lower typhoon disturbance, which is beneficial to the enhancement of “Tiange”.

The Impact of Central Environmental Inspections on the Perception of Respect for Human Rights and Its Empirical Analysis

To develop China’s human rights cause with a people-centered approach,we should pay close attention to the concrete experiences of the general public regarding the protection of human rights.Deepening the research on the perception of respect for human rights can contribute to a more comprehensive understanding of the practical achievements of the hu man rights cause.Public environmental rights,as a new type of human rights,have become an important aspect of the development of the human rights cause in the new era.The central envi ronmental inspection,as an authoritative and interventionist vertical governance mechanism,promotes the implementation of environmental policies by local Party committees and govern ments and strengthens environmental information disclosure and public participation in environ mental matters.As a result,it contributes to the realization of public environmental rights and stimulates public perception of respect for human rights.Among them,the“look-back inspec tion is an important component of the central environmental inspection,and its implemen tation consolidates and enhances the previous inspection work.An empirical analysis based on the World Values Survey’s data for China indicates that residents in the provinces that have underg one“look-back inspections are more inclined to believe that human rights are adequately re spected compared to residents in the provinces that have not underwent such inspections.It suggests that the advancement and improvement of the central environmental inspection system promote improvements in ecological environment quality and contribute to enhancing the public percep tion of respect for human rights.

Analysis of Potential Causes of Safety Failure of New Energy Vehicle Power Batteries

The aim of this paper is to analyze the potential reasons for the safety failure of batteries for new-energy vehicles.Firstly,the importance and popularization of new energy batteries are introduced,and the importance of safety failure issues is drawn out.Then,the composition and working principle of the battery is explained in detail,which provides the basis for the subsequent analysis.Then,the potential impacts of factors such as overcharge and over-discharge,high and low temperature environments,internal faults,and external shocks and vibrations on the safety of the batteries are analyzed.Finally,some common safety measures and solutions are proposed to improve the safety of new energy batteries,in hopes of improving the safety of batteries for new-energy vehicle.

根本原因分析法在门诊化疗给药错误分析中的应用

用药是一个十分复杂的过程,通常需要经历10多个步骤,即诊断、选药、处方、转抄医嘱、审核处方、调配、核对、发药、保存、计算剂量、稀释配制、按时用药、观察效果、监测体内浓度、监测不良反应、调整用药方案等。每一步都有可能发生差错。给药错误指的是病人实际接受的药物与医嘱之间存在差异。我们采用根本原因分析法（root cause analysis,RCA）对1例门诊病人化疗给药错误作回顾性分析,