Class Categories Research Articles

A real-world drug safety surveillance study from the FAERS database of hepatocellular carcinoma patients receiving pembrolizumab alone and plus lenvatinib

Pembrolizumab plus Lenvatinib is regarded as a significant treatment option for advanced unresectable hepatocellular carcinoma (HCC). This study aims to meticulously monitor and identify adverse events (AEs) related to this combined therapy, enhance patient safety, and offer evidence-based recommendations for the appropriate use of these drugs. We gathered adverse drug reactions (ADRs)-related data from the FAERS database for HCC patients who received Pembrolizumab, both alone and in combination with Lenvatinib from the first quarter of 2014 to the fourth quarter of 2023. ADRs signal detection was performed using the ROR, PRR, BCPNN, MHRA, and MGPS methods. We gathered data on 459 and 358 AEs from patients with HCC treated with pembrolizumab alone and in combination with lenvatinib, respectively. Using four signal quantification techniques, we identified 50 and 38 distinct AEs, which were classified into 15 different System organ class (SOC) categories. Notably, the most common AEs associated with pembrolizumab were gastrointestinal disorders and hepatobiliary disorders. In both patient groups, the most frequently reported AEs were hepatic encephalopathy, blood bilirubin increased and diarrhea. We also observed some unexpected significant AEs, such as dehydration, skin ulcers, and intestinal perforation. The countries reporting the highest number of AEs were the United States, followed by China, France, and Japan. The median onset time for AEs related to pembrolizumab alone and its combination with lenvatinib was 80.5 days (interquartile range 20.0–217.3 days) and 77.5 days (interquartile range 19.7–212.3 days), respectively. This study offers new insights into the monitoring and management of ADRs in HCC patients receiving pembrolizumab alone or in combination with lenvatinib. It is crucial to closely monitor the safety of this treatment regimen in HCC patients to avoid serious AEs.

Be Real! Age Effects on the Interpretations of Political Participation

Contemporary research on political participation often neglects the diversity of engagement across age groups. This study challenges this homogeneity by proposing and evaluating theoretical models that account for subjective interpretations influenced by age, gender and other factors. Reviewing relevant literature identifies the need for adaptable theoretical models that include subjective interpretations of political participation, particularly among younger demographics. Empirical evidence from a 2022 representative online survey of the adult Hungarian population ( N = 2,972) highlights differences in how social groups perceive political acts. Advanced statistical analyses explore the impact of age on the perception of institutional activism and speech acts. The study finds that young people recognize conventional forms of participation more than online activities, contradicting assumptions about youth and digital activism. The findings suggest revising classical categories of political participation to reflect modern, blended engagement forms. This approach would provide a more accurate understanding of political engagement across different social groups.

Do we need a patient surgical class categorization similar to the American Society of Anesthesiologists (ASA) grade?

We aim to enhance the reporting of complications in surgical operations by establishing a classification for patient complexity. Current comorbidity assessment tools are insufficient due to their reliance on physiological parameters. The proposed patient surgical class category (PSCC) aims to address these limitations and enhance results by incorporating relevant aspects of a patient's surgical history. The new classification system for patient surgical classes was developed via a modified Delphi method across two iterations with urological scenarios. The consensus on the importance of individual classes within PSCC ranged from 72.83% for Class 0 to 87.95% for Class 4A. The survey results show that our proposed grading system is easy, broadly applicable, and useful for categorizing the surgical history of patients.

Machine learning-based constitutive modelling for material non-linearity: A review

Machine learning (ML) models are widely used across numerous scientific and engineering disciplines due to their exceptional performance, flexibility, prediction quality, and ability to handle highly complex problems if appropriate data are available. One example of such areas which has attracted a lot of attentions in the last couple of years is the integration of data-driven approaches in material modeling. There has been several successful researches in implementing ML-based constitutive models instead of classical phenomenological models for various materials, particularly those with non-linear mechanical behaviors. This review paper aims to systematically investigate the literature on ML-based constitutive models for materials and classify these models based on their suitability for material non-linearity including Non-linear elasticity (hyperelasticity), plasticity, visco-elasticity, and visco-plasticity. Furthermore, we also reviewed and compared the ML-based approaches that have been applied for architectured materials as these groups of materials are designed to represent specific material behaviors that might not exist in classical and conventional material categories. The other goal of this review paper is to provide initial steps in understanding of various ML-based approaches for material modeling, including artificial neural networks (ANN), Gaussian processes, random forests (RF), generated adversarial networks (GANs), support vector machines (SVM), different regression models and physics-informed neural networks (PINN). This paper also outlines different data collection methods, types of data, data processing approaches, the theoretical background of the ML models, advantage and limitations of various models, and potential future research directions. This comprehensive review will provide researchers with the knowledge necessary to develop high-fidelity, robust, adaptable, flexible, and accurate data-driven constitutive models for advanced materials.

Gender Intersectionality Representation in Boule de Suif by Guy de Maupassant

Boule de Suif is considered one of the best short stories written by Guy de Maupassant. This study is based on a feminist perspective applying a narrative approach to provide an overview of the intersectionality of gender in Guy de Maupassant's narrative work, The Boule de Suif. Specifically, the narrative model was chosen as an approach that focuses on the individual stories of the characters within the work. Narrative identification is important for unraveling issues of gender intersectionality that arise in unequal phenomena. From the process of analysis, it is clear that the character Boule de Suif experiences the phenomenon of intersectionality of gender in the categories of gender, social class and identity in a situation of mutual support, trying to protect themselves from a violent war.

Риск-ориентированный подход к осуществлению контрольно-надзорной деятельности в области промышленной безопасности и охраны труда. Индикаторы риска соблюдения обязательных требований

The reform of the state and supervision activities is carried out in order to improve the efficiency of supervision activities due to the optimal use of human, material, and financial resources used for the state control (supervision), reduction of expenses of legal bodies, individual entrepreneurs, and improving the performance of activities by the state control (supervision) bodies when organizing specific types of the state control (supervision). One of the most efficient methods to reach the goals is the implementation of the risk-oriented approach which is a method of organization and implementation of the state control (supervision) based on the choice of intensity (form, duration, and periodicity) of events of control and is determined by the classification of activities of a legal body, individual entrepreneur, and (or) production facilities used by them during such activities to a certain risk category or to a certain hazard class (category). The adoption of the Federal Law «On the state control (supervision) in the Russian Federation» gave new impetus to the application of the risk-oriented approach. It introduced a number of new approaches to the practices of control and supervision activities. The classification criteria as four hazard classes of facilities are legislatively established for hazardous production facilities in industrial safety. The Ministry of Labor of Russia classified such facilities in accordance with five risk categories. The Federal Law «On the state control (supervision) in the Russian Federation» stipulates that unscheduled supervisory inspections are mainly conducted based on the risk indices, the list of which must be approved by a federal executive body. Such lists were approved by Rostechnadzor in 2021 and by the Ministry of Labor of the Russian Federation in 2023. They were updated in 2023 and will be expanded in the future. The implementation of the risk-oriented approach in Rostechnadzor and the Ministry of Labor helped to reduce the number of scheduled inspections and increase the number of unscheduled inspections conducted based on the activation of risk indices.

A Categorical Formalism for Conceptual Graphs

Abstract In this paper, we propose a formalism for knowledge manipulation, based on conceptual graphs, which is supported by category theory, and which can be the basis for the development of knowledge-based systems. The model we propose is an extension of the model based on conceptual graphs. In this model, the application of an inference rule between logical formulas represented by two conceptual graphs is reduced to the identification of an arrow in a category. To this end, we introduce several new notions such as: the category of conceptual graphs, the category of classes of conceptual graphs, the conceptual category of a model and the conceptual category of inference of a model.

Analysis of Ionospheric Disturbances Due to Cyclones in Geraldton City of Australia

Abstract A typhoon is a natural disaster that has the potential to cause damage and cause loss of life. On April 2, 2021, the tropical cyclone Seroja formed, reaching typhoon class category 3, which was characterized by a maximum wind speed of 140 km/s on April 11, 2021. Tropical cyclones reached typhoon class when the wind speed exceeded 119 km/h. Typhoon can generate Acoustic Gravity Waves which can cause Concentric Traveling Ionosphere Disturbances (CTIDs). One effort that can be made to mitigate typhoon disasters is to analyze the time when ionospheric disturbances are detected, which can be observed through changes in TEC values by utilizing GNSS technology. The propagation of the GNSS signal from the satellite to the receiver experiences a delay when passing through the ionosphere layer, which can be used to obtain the Total Electron Content (TEC) value. TEC is the number of electrons in a cylindrical vertical column with a cross-section of 1 m 2 along the line of sight. CTIDs due to typhoon Seroja were detected at around 09:00 UTC by GPS 9 at ~0.2 TECU. Interestingly, the CTIDs caused by typhoon Seroja were detected before the typhoon landed in Australia. It is hoped that additional information and variables regarding the comparison of the characteristics of ionospheric disturbances due to typhoons and earthquakes can be used to develop an early warning system for disasters in the future.

Histology-specific long-term oncologic outcomes in patients with epithelial ovarian cancer who underwent complete tumor resection: The implication of occult seeds after initial surgery.

Assessing the histology-specific prognosis of epithelial ovarian cancer (OvCa) is clinically challenging, especially in a patient population with a favorable prognosis. This study investigated the histology-specific long-term oncologic outcomes in OvCa patients who underwent complete tumor resection using a large-scale patient cohort form multiple institutions under a central pathological review system. A regional multi-institutional study was conducted from 1986 to 2019. Of the 4,898 patients with ovarian tumors enrolled, 1,175 patients who underwent complete tumor resection were classified into three classes based on clinically important prognostic factors: stage, cytology, ascites volume. For each class category, the effect of histology types on recurrence-free survival, the site of recurrence, and post-recurrence survival was evaluated. Recurrence-free survival varied significantly across different histologies (P < 0.001). The risk of recurrence was higher in serous carcinoma compare to other histologies (P < 0.001). The site of tumor recurrence varied by the histology type. Multinominal logistic regression analysis revealed that mucinous histology had a significantly higher likelihood of developing recurrent tumors at distant sites from the peritoneum compared to other histologies (P = 0.002). Conversely, serous histology was associated with better post-recurrence survival (Log-rank P < 0.001). Long-term oncologic outcomes significantly differ by histology type in OvCa patients who have undergone complete tumor resection at the initial surgery. A careful evaluation of the clinical background is necessary for these patients, and further clinical research into individualized treatment approaches is essential.

Tapentadol: navigating the complexities of abuse, patient safety & regulatory measures

Aim To evaluate tapentadol abuse cases by analyzing real-world data and identifying under-reporting countries from Southeast Asian Region (SEAR) to enhance vigilance. Method A retrospective, observational study from 2013 to March 2024 using VigiBase was conducted. Result Tapentadol-related abuse falls within the System Organ Class (SOC) categories of psychiatric disorder, nervous system disorder and injury, poisoning, and procedural complications. These are further categorized into Preferred Terms (PT) such as anxiety, delirium, Central Nervous System toxicity, depressive disorder, drug abuse, dependence/withdrawal syndrome, and overdose using the Medical Dictionary for Regulatory Activities (MedDRA) system. Among the 11 countries in the SEAR, India is the only country to report cases of tapentadol-related abuse, no Individual Case Safety Reports (ICSRs) related to tapentadol abuse have been submitted from other SEAR nations. Out of 127 ICSRs concerning tapentadol-related adverse events reported in India, 20 cases involved abuse. Focusing on the ICSRs submitted in India, the reported adverse reactions included anger(n = 1,10%), anxiety (n = 2, 10%), delirium (n = 1, 5%), drug abuse (n = 4, 20%), drug dependence/withdrawal syndrome (n = 7, 35%), intentional overdose (n = 2, 10%), depressive disorder (n = 1, 5%), euphoric mood (n = 1, 5%), and product misuse (n = 1, 5%) indicating a concerning pattern of substance abuse. Conclusion Stringent regulatory actions are needed to curb this practice in India, such as rescheduling tapentadol from Schedule H (Prescription drugs) to Schedule X(Narcotic drugs) in India could offer more regulatory oversight and measures to reduce risks related to abuse, addiction, and dependence while enhancing patient safety in pain management practices. Additionally, tapentadol should be closely monitored in other SEAR countries due to its potential for dependence. This study also emphasizes the importance of encouraging SEAR countries to report more Adverse Drug Reactions (ADRs), which would facilitate the implementation of more rigorous regulatory measures.

Symptoms and atrial fibrillation burden measured by an insertable cardiac monitor in endurance athletes

Abstract Background Atrial fibrillation (AF) is the most common cardiac arrhythmia in athletes, but knowledge regarding AF burden, symptoms and quality of life (QoL) in endurance athletes with AF is limited. Purpose To study AF burden by continuous monitoring using insertable cardiac monitor (ICM), AF symptoms and QoL in endurance athletes with paroxysmal AF. Methods In endurance athletes diagnosed with paroxysmal AF who reported ≥2 episodes of AF, of which ≥1 during the past six months, we continuously monitored AF using ICM. Episodes recognized as AF by ICM were validated by a cardiologist. We defined AF burden as the cumulative duration of AF episodes lasting ≥30 secs divided by the total duration of monitoring. AF symptoms were assessed using the 21-item Atrial Fibrillation Effect on QualiTy-of-Life Questionnaire (AFEQT). AFEQT produces a summary score and three subscale scores (symptoms, daily activities, treatment concerns), ranging from 0 (complete AF-related disability) to 100 (no AF-related disability). We defined any score &amp;lt;80 as clinically relevant AF symptoms. We classified athletes according to the modified European Heart Rhythm Association (mEHRA) classification. Sport participation was obtained by questionnaires. Height and weight were measured and physical fitness was examined during cardiopulmonary exercise testing. Results A total of 38 athletes (3 female, 8%) were included. Table 1 shows their characteristics. Eight of the athletes (21%) had recurrent AF after previous AF ablation therapy. ICM recordings were available in 30 athletes who were monitored for an average of 53±21 days (mean±SD). Eighteen athletes (60%) had ≥1 AF episode, the median number of AF episodes was 2 (interquartile range 8.75), and the mean AF burden was 1.4±2.5%. The mean AFEQT summary score was 84±12 and 11 athletes (29%) had an AFEQT summary score &amp;lt;80. The mean AFEQT symptom subscale score was 78±18). While 21 athletes (55%) had a symptom subscale score &amp;lt;80, indicating clinically relevant symptomatic AF, 9 (24%) scored &amp;lt;60, indicating more severely symptomatic AF. Figure 1 shows ICM-detected AF burden across categories of mEHRA classes and categories of the AFEQT summary score. The AF burden corresponded to both AFEQT scores and mEHRA categories, with a higher AF burden associated with more symptomatic AF (Figure 1). AF burden was numerically lower in athletes with recurrent AF after previous AF ablation therapy, compared to athletes previously not treated with AF ablation (0.6% vs. 1.7%, p= 0.66), but previously ablated athletes were more symptomatic (AFEQT symptom subscale score 68 vs. 80, p= 0.04). Conclusions Despite a relatively low AF burden during continuous monitoring with ICM, a majority of the athletes had clinically relevant symptomatic AF. Athletes with recurrent AF after previous ablation therapy had a numerically lower AF burden, but were more symptomatic compared to athletes with paroxysmal AF not previously treated with AF ablation.

GLSD: a global large-scale ship database with baseline evaluations

ABSTRACT In this paper, we introduce a challenging Global Large-scale Ship Database (GLSD), designed specifically for ship detection tasks. The designed GLSD database includes a total of 212,357 annotated instances from 152,576 images. Based on the collected images, we propose 13 ship categories that widely exist in international routes. These categories include Sailing boat, Fishing boat, Passenger ship, Warship, General cargo ship, Container ship, Bulk cargo carrier, Barge, Ore carrier, Speed boat, Canoe, Oil carrier, and Tug. The motivations for developing GLSD include the following: 1) providing a refined and extensive ship detection database that benefits the object detection community, 2) establishing a database with exhaustive labels (bounding boxes and ship class categories) in a uniform classification scheme, and 3) providing a large-scale ship database with geographic information (covering more than 3000 ports and 33 routes) that benefits multi-modal analysis. Additionally, we discuss the evaluation protocols corresponding to image characteristics in GLSD and analyze the performance of selected state-of-the-art object detection algorithms on GLSD, aiming to establish baselines for future studies.

STRUGGLING FOR URBAN SPACE: Examining Social Distinctions between Long‐Term Residents and Newcomers in Warsaw's Districts

AbstractThis article examines the perspectives of long‐term residents in response to the influx of newcomers in two neighbourhoods in Warsaw, Poland. It addresses the crucial, yet understudied, impact of spatial changes on the local population and the diverse ways in which residents negotiate this changing urban context. Drawing on Pierre Bourdieu's theoretical framework and its subsequent reinterpretations in the field of urban studies, the article explores the extent to which the narratives constructed by the long‐standing residents refer to categories of social class and correspond to their class position. The central question is whether spatial changes lead them to ‘internalize their inferiority’ (Savage, 2008: 161), or if they possess resources that can be mobilized to navigate conflicts arising from urban transitions. Through individual and group interviews with residents from two districts in Warsaw, this research sheds light on how the symbolic divisions between ‘us’ (long‐term residents) and ‘them’ (newcomers) are framed. It demonstrates how nativity is transformed into capital, providing the possibility for symbolic dominance. Consequently, it not only enriches understanding of the social distinctions that are made within evolving cities but also underscores the ongoing relevance of Bourdieu's theoretical framework for the study of urban space.

Weakly Supervised Underwater Object Real-time Detection Based on High-resolution Attention Class Activation Mapping and Category Hierarchy

Recently, deep learning-based underwater object detection technology has achieved remarkable success. However, the accuracy and completeness of dataset instance annotation are crucial for its success. The quality of underwater images is low, severe objects clustering, and occlusion, acquiring object's annotations demands substantial time and labor costs, while mis annotation and missed annotation can also degrade model performance and limit their application in practical scenarios. To address this issue, this paper presents a novel weakly supervised underwater object real-time detection method, which is divided into two subtasks: weakly supervised object localization and real-time object detection. In the weakly supervised object localization task, we design a novel category hierarchy structure network that integrates the high-resolution attention-class activation mapping algorithm to obtain high-quality object class activation maps, weaken background interference, and obtain more complete object regions. The parameterized spatial loss module is devised to enable the model to escape from local optimal solutions, thus accurately and efficiently obtaining object pseudo-detection annotation boxes. For the real-time object detection task, the single-stage detector YOLOv7 is selected as the basic detection model, and an object perception loss function is designed based on the class activation map to jointly supervise the training process. A method for filtering noisy pseudo-supervision information is proposed to enhance the pseudo-supervision information involved in training. Ablation experiments and multi-method comparison experiments were conducted on the URPC and RUOD datasets, and the results verify the effectiveness of the proposed strategy, and our model exhibits significant advantages in detection performance and detection efficiency compared to current mainstream and advanced models.

Recent Developments in C−S, C−Se Bond Formation via Three‐Component Reactions of Alkynes

AbstractAlkynes are valuable building blocks in organic synthesis. They can undergo three‐component difunctionalization to create sulfur or selenium‐containing compounds. Three‐component reactions of alkynes are atom economic, practical and regioselective. This review will disscuss decade developments, including C−S and C−Se bond formation via thiolation, sulfonylation and selenylation. Recent developments can be mainly categorized into three types. (1) Radical C−S/S−Se bond formation is a hot topic. Reactions initiated by S/Se radicals or other radicals exhibit two types of selectivities. Photochemical and electrochemical reactions under eco‐friendly conditions have been increasingly reported. (2) Some transformations involve electrophilic three‐membered ring intermediates. Thiiraniums, seleniraniums, and iodoniums are among the most prevalent species. They undergo ring‐opening by various nucleophiles and participate in tandem reactions. (3) Metal‐catalyzed reactions, a classic category, will also be discussed in the text. In the following section, we will provide an overview based on the mechanisms and substrates. The roles of added reagents will also be discussed.

Implementation of Think Pair and Share (TPS) Technique in Listening to Short Story Texts Learning

This research aims to determine whether there are differences in students' abilities in listening to short story texts using the Think-Pair-Share (TTPS) cooperative learning method. Conducted as a quasi-experimental study, the sample comprised 11th-grade students from SMA DDI Maros. Data collection involved text analysis techniques, and the obtained data were analyzed through stages including the creation of raw score lists, frequency distributions, descriptive statistical analysis, and inferential statistical analysis. The results indicate significant differences in learning outcomes between students using the TTPS method and those not using it. The use of TTPS improved students' listening comprehension of short story texts, as evidenced by the mean score of 74.36 (high category) in the experimental class compared to 58.46 (low category) in the control class. This demonstrates that the TTPS method effectively enhances students' listening skills.

Anthropometry and Physical Condition Factors for Determining the Speed of Sickle Kick

This research aims to determine the anatomical and physiological factors of the body that have a correlation and role in the speed of sickle kicks of pencak silat athletes. The basic anatomical (anthropometric) factors studied include body height and leg length. Meanwhile, the physiological factors (physical condition) studied include speed, agility, leg power, anaerobic endurance, balance, and flexibility. This research examines the fighting category in men's class C, which is the fighting category that dominates most adolescent pencak silat matches. This research used a quantitative approach with a confirmatory factor analysis (CFA) method which tested the consistency of indicators that had been grouped based on latent variables. All data obtained, processed, and tested went through several stages then would be eliminated if it did not meet the criteria to pass the test. The research population was adolescent pencak silat athletes aged 14-17 years old in Wonosobo Regency. The research location was conducted at 3 (three) high schools which had pencak silat training units and had trained athletes in the men's class C fighting category. The research samples were 15 people taken by using a purposive sampling technique. The research instruments were observation and documentation. The results of the research show that out of 9 latent factor variables, 8 variables are obtained which are the determining factors for the speed of the sickle kick. These factors with their role values are body weight (0.748), height (0.536), leg length (0.834), anaerobic endurance (0.838), speed (0.817), agility (0.876), leg power (0.856), and flexibility (0.902). Meanwhile, the balance is eliminated during the first analysis.

Exploring Air Quality Dynamics and Predictive Modeling by Using Artificial Intelligence During COVID-19 Lock Down Over the Western Part of India

The lockdown period, initially imposed for three months due to the COVID-19 outbreak in India, was later prolonged. Air quality data from eight monitoring sites in Rajasthan was used to calculate the AQI according to the following parameters: Particulate matter (PM2.5 and PM10), Nitrogen Dioxide (NO2), Ammonia (NH3), Sulfur dioxide (SO2), Ozone (O3), and Carbon monoxide (CO), dispersed throughout the state by CPCB. Among the chosen cities, the study found that the AQI percentage dropped the most in Alwar, by 35.6% between pre-lockdown and lockdown. Conversely, it rose the most in Jaipur, by 86.77% between lockdown and post-lockdown. Python deep learning was used to simulate the relationship between Air Quality Index and Air contamination in the study area. Air quality index values ranging from Good (0–50) to Severe (&gt;401) were used to create the AQI class categorization in Python. The study found that PM2.5 and PM10 had the strongest correlation. Metrics such as the coefficient of determination (R2) and the root mean square error (RMSE) were applied to assess the model on the datasets used for training and testing. Random forest, decision trees, and linear regression were worked to verify the precision of the prototype. The author used supervised learning techniques, such as decision tree (DT), extreme gradient boosting (XGBoost), K-nearest neighbor (KNN), logistic regression (LR), and random forest (RF), to determine the model's prediction. These findings suggest that urban areas are characterized by societal, commercial, and cultural aspects that contribute to similar discharge patterns and air quality issues. The study would be advantageous for authorities, as it is clearly apparent that reducing the sources of emissions can improve quality. This will set the stage for safeguarding and improving the environment.

Real-world safety of nivolumab in patients with malignant pleural mesothelioma in Japan: post-marketing surveillance study.

This post-marketing surveillance (PMS) was conducted to evaluate the incidence of adverse events with nivolumab in patients with unresectable, advanced or recurrent malignant pleural mesothelioma (MPM) that had progressed after first-line chemotherapy and to identify factors that potentially affected its safety in real-world clinical practice. Patients who had not received nivolumab previously were registered between November 2018 and February 2021. Nivolumab was given intravenously 240mg every 2weeks or 480mg every 4weeks. Patients were followed up for 6months after treatment initiation. Information on patient characteristics, treatment status, and adverse events was collected. This PMS enrolled 124 patients, involving 48 sites across Japan. At 6months, nivolumab therapy was ongoing in 35.5% of patients (44/124) and had been discontinued in 64.5% (80/124). The overall incidence of treatment-related adverse events (TRAEs) was 40.3%; the incidence of Grade 3 or higher TRAEs was 12.9%. The pattern of TRAEs based on System Organ Class categories was generally consistent with those seen in the Japanese phase II MERIT study. The most common Grade 3 or higher TRAEs were interstitial lung disease (2.4%), lung disorder, and diarrhea (each 1.6%). The incidence of TRAEs was significantly higher in inpatients or patients who had good PS, high bodyweight, high body mass index, or autoimmune diseases than in those without these characteristics. The post-marketing incidence of TRAEs with nivolumab in patients with MPM has been evaluated, and no new safety signals were identified compared to the phase II clinical trial in Japan.

Stable twisted cohomology of the mapping class groups in the unit tangent bundle homology

AbstractWe compute the stable cohomology groups of the mapping class groups of compact orientable surfaces with one boundary, with twisted coefficients given by the rational homology of the unit tangent bundles of the surfaces. These coefficients define a covariant functor over the classical category associated to mapping class groups, rather than a contravariant one, and are thus out of the scope of the traditional framework to study twisted cohomological stability. A remarkable property is that the computed stable twisted cohomology is not free as a module over the stable cohomology algebra with constant rational coefficients. For comparison, we also compute the stable cohomology group with coefficients in the first rational cohomology of the unit tangent bundle of the surface, which fits into the traditional framework.