bluuebunny/crossref_metadata_2025 huggingface dataset:
Supplementary Figure 13 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Supplementary Figure 13. Overall survival since the date of initial diagnosis among patients with stage IV NSCLC according to ATM expression by immunohistochemistry.
Data from Cytochrome P450 Oxidoreductase (POR) Associated with Severe Paclitaxel-Induced Peripheral Neuropathy in Patients of European Ancestry from ECOG-ACRIN E5103
Authors: Shen Fei , Jiang Guanglong , Philips Santosh , Gardner Laura , Xue Gloria , Cantor Erica , Ly Reynold C. , Osei Wilberforce , Wu Xi , Dang Chau , Northfelt Donald , Skaar Todd , Miller Kathy D. , Sledge George W. , Schneider Bryan P.
Published: May 2023

AbstractPurpose:
Paclitaxel is a widely used anticancer therapeutic. Peripheral neuropathy is the dose-limiting toxicity and negatively impacts quality of life. Rare germline gene markers were evaluated for predicting severe taxane-induced peripheral neuropathy (TIPN) in the patients of European ancestry. In addition, the impact of Cytochrome P450 (CYP) 2C8, CYP3A4, and CYP3A5 metabolizer status on likelihood of severe TIPN was also assessed.
Experimental Design:
Whole-exome sequencing analyses were performed in 340 patients of European ancestry who received a standard dose and schedule of paclitaxel in the adjuvant, randomized phase III breast cancer trial, E5103. Patients who experienced grade 3–4 (n = 168) TIPN were compared to controls (n = 172) who did not experience TIPN. For the analyses, rare variants with a minor allele frequency ≤ 3% and predicted to be deleterious by protein prediction programs were retained. A gene-based, case–control analysis using SKAT was performed to identify genes that harbored an imbalance of deleterious variants associated with increased risk of severe TIPN. CYP star alleles for CYP2C8, CYP3A4, and CYP3A5 were called. An additive logistic regression model was performed to test the association of CYP2C8, CYP3A4, and CYP3A5 metabolizer status with severe TIPN.
Results:
Cytochrome P450 oxidoreductase (POR) was significantly associated with severe TIPN (P value = 1.8 ×10−6). Six variants were predicted to be deleterious in POR. There were no associations between CYP2C8, CYP3A4, or CYP3A5 metabolizer status with severe TIPN.
Conclusions:
Rare variants in POR predict an increased risk of severe TIPN in patients of European ancestry who receive paclitaxel.
Data from Devimistat in combination with gemcitabine and cisplatin in biliary tract cancer: Pre-clinical evaluation and phase 1b multicenter clinical trial (BilT-04)
Authors: Mohan Arathi , Griffith Kent A. , Wuchu Fulei , Zhen David B. , Kumar-Sinha Chandan , Crysler Oxana , Hsiehchen David , Enzler Thomas , Dippman Dominique , Gunchick Valerie , Achreja Abhinav , Animasahun Olamide , Choppara Srinadh , Nenwani Minal , Chinnaiyan Arul M. , Nagrath Deepak , Zalupski Mark M. , Sahai Vaibhav
Published: May 2023

Abstract
Purpose: Devimistat (CPI-613®) is a novel inhibitor of tumoral mitochondrial metabolism. We investigated effect of devimistat in vitro and in a phase 1b clinical trial in patients with advanced biliary tract cancer (BTC). Patients and Methods: Cell viability assays of devimistat +/- GC were performed and effect of devimistat on mitochondrial respiration via oxygen consumption rate (OCR) was evaluated. A phase 1b/2 trial was initiated in patients with untreated advanced BTC. In phase 1b, devimistat was infused over 2 hours in combination with GC on days 1 and 8 every 21 days with a primary objective to determine recommended phase 2 dose (RP2D). Secondary objectives included safety, overall response rate (ORR), progression-free survival (PFS) and overall survival (OS). Results: In vitro, devimistat with GC had synergistic effect on two cell lines. Devimistat significantly decreased OCR at higher doses and in arms with divided dosing. In the phase 1b trial, 20 patients received a median of 9 cycles (range 3-19). One DLT was observed and the RP2D of devimistat was determined to be 2000 mg/m2 in combination with GC. Most common grade 3 toxicities included neutropenia (n=11, 55%), anemia (n=4, 20%), and infection (n=3, 15%); with no grade 4 toxicities. After a median follow-up of 15.6 months, ORR is 45% and median PFS is 10 months (95% CI, 7.1 – 14.9). Median OS is not yet estimable. Conclusion: Devimistat in combination with GC is well tolerated and has an acceptable safety profile in patients with untreated advanced BTC.
Data from Clinicopathologic, genomic, and immunophenotypic landscape of ATM mutations in non-small cell lung cancer
Authors: Ricciuti Biagio , Elkrief Arielle , Alessi Joao , Wang Xinan , Li Yvonne , Gupta Hersh , Muldoon Daniel M. , Bertram Arrien A. , Pecci Federica , Lamberti Giuseppe , Di Federico Alessandro , Barrichello Adriana , Vaz Victor R. , Gandhi Malini , Lee Elinton , Shapiro Geoffrey I. , Park Hyesun , Nishino Mizuki , Lindsay James , Felt Kristen D. , Sharma Bijaya , Cherniack Andrew D. , Rodig Scott , Gomez Daniel R. , Shaverdian Narek , Rakaee Mehrdad , Bandlamudi Chaitanya , Ladanyi Marc , Janne Pasi A. , Schoenfeld Adam J. , Sholl Lynette M. , Awad Mark M. , Cheng Michael L.
Published: May 2023

Abstract
Introduction: ATM is the most commonly mutated DNA damage and repair gene in non-small cell lung cancer (NSCLC), however limited characterization has been pursued. Methods: Clinicopathologic, genomic, and treatment data were collected for 5172 patients with NSCLC tumors which underwent genomic profiling. ATM immunohistochemistry (IHC) was performed on 182 NSCLCs with ATM mutations. Multiplexed immunofluorescence was performed on a subset of 535 samples to examine tumor-infiltrating immune cell subsets. Results: A total of 562 deleterious ATM mutations were identified in 9.7% of NSCLC samples. ATMMUT NSCLC was significantly associated with female sex (P=0.02), ever smoking status (P<0.001), non-squamous histology (P=0.004) and higher tumor mutational burden (DFCI: P<0.0001; MSK: P<0.0001) compared to ATMWT cases. Among 3687 NSCLCs with comprehensive genomic profiling, co-occurring KRAS, STK11, and ARID2 oncogenic mutations were significantly enriched among ATMMUT NSCLCs (Q<0.05), while TP53 and EGFR mutations were enriched in ATMWT NSCLCs. Among 182 ATMMUT samples with ATM IHC, tumors with nonsense, insertions/deletions, or splice site mutations were significantly more likely to display ATM loss by IHC (71.4% vs 28.6%, P<0.0001) compared to tumors with only predicted pathogenic missense mutations. Clinical outcomes to PD-(L)1 monotherapy (N=1522) and chemo-immunotherapy (N=951) were similar between ATMMUT and ATMWT NSCLCs. Patients with concurrent ATM/TP53 mutations had significantly improved response rate and progression-free survival with PD-(L)1 monotherapy. Conclusion: Deleterious ATM mutations defined a subset of NSCLC with unique clinicopathologic, genomic, and immunophenotypic features. Our data may serve as resource to guide interpretation of specific ATM mutations in NSCLC.
A Multiparameter Molecular Classifier to Predict Response to Neoadjuvant Lapatinib plus Trastuzumab without Chemotherapy in HER2+ Breast Cancer
Authors: Veeraraghavan Jamunarani , Gutierrez Carolina , De Angelis Carmine , Davis Robert , Wang Tao , Pascual Tomas , Selenica Pier , Sanchez Katherine , Nitta Hiroaki , Kapadia Monesh , Pavlick Anne C. , Galvan Patricia , Rexer Brent , Forero-Torres Andres , Nanda Rita , Storniolo Anna M. , Krop Ian E. , Goetz Matthew P. , Nangia Julie R. , Wolff Antonio C. , Weigelt Britta , Reis-Filho Jorge S. , Hilsenbeck Susan G. , Prat Aleix , Osborne C. Kent , Schiff Rachel , Rimawi Mothaffar F.
Published: May 2023

Purpose:

Clinical trials reported 25% to 30% pathologic complete response (pCR) rates in HER2+ patients with breast cancer treated with anti-HER2 therapies without chemotherapy. We hypothesize that a multiparameter classifier can identify patients with HER2-“addicted” tumors who may benefit from a chemotherapy-sparing strategy.

Experimental Design:

Baseline HER2+ breast cancer specimens from the TBCRC023 and PAMELA trials, which included neoadjuvant treatment with lapatinib and trastuzumab, were used. In the case of estrogen receptor–positive (ER+) tumors, endocrine therapy was also administered. HER2 protein and gene amplification (ratio), HER2-enriched (HER2-E), and PIK3CA mutation status were assessed by dual gene protein assay (GPA), research-based PAM50, and targeted DNA-sequencing. GPA cutoffs and classifier of response were constructed in TBCRC023 using a decision tree algorithm, then validated in PAMELA.

Results:

In TBCRC023, 72 breast cancer specimens had GPA, PAM50, and sequencing data, of which 15 had pCR. Recursive partitioning identified cutoffs of HER2 ratio ≥ 4.6 and %3+ IHC staining ≥ 97.5%. With PAM50 and sequencing data, the model added HER2-E and PIK3CA wild-type (WT). For clinical implementation, the classifier was locked as HER2 ratio ≥ 4.5, %3+ IHC staining ≥ 90%, and PIK3CA-WT and HER2-E, yielding 55% and 94% positive (PPV) and negative (NPV) predictive values, respectively. Independent validation using 44 PAMELA cases with all three biomarkers yielded 47% PPV and 82% NPV. Importantly, our classifier's high NPV signifies its strength in accurately identifying patients who may not be good candidates for treatment deescalation.

Conclusions:

Our multiparameter classifier differentially identifies patients who may benefit from HER2-targeted therapy alone from those who need chemotherapy and predicts pCR to anti-HER2 therapy alone comparable with chemotherapy plus dual anti-HER2 therapy in unselected patients.
An Oncolytic Poxvirus Encoding hNIS, Shows Antitumor Efficacy and Allows Tumor Imaging in a Liver Cancer Model
Authors: Chaurasiya Shyambabu , Valencia Hannah , Zhang Zhifang , Kim Sang-In , Yang Annie , Lu Jianming , Woo Yanghee , Warner Susanne G. , Ede Nicholas J. , Fong Yuman
Published: May 2023

Oncolytic viruses (OV) are live viruses that can selectively replicate in cancer cells. We have engineered an OV (CF33) to make it cancer-selective through the deletion of its J2R (thymidine kinase) gene. In addition, this virus has been armed with a reporter gene, human sodium iodide symporter (hNIS), to facilitate noninvasive imaging of tumors using PET. In this study, we evaluated the oncolytic properties of the virus (CF33-hNIS) in liver cancer model, and its usefulness in tumor imaging. The virus was found to efficiently kill liver cancer cells and the virus-mediated cell death exhibited characteristics of immunogenic death based on the analysis of 3 damage-associated molecular patterns: calreticulin, ATP, and high mobility group box-1. Furthermore, local or systemic administration of a single dose of the virus showed antitumor efficacy against a liver cancer xenograft model in mice and significantly increased survival of treated mice. Finally, PET scanning was performed following injection of the radioisotope I-124, for imaging of tumors, and a single dose of virus as low as 1E03 pfu, administered intra-tumorally or intravenously, allowed for PET imaging of tumors. In conclusion, CF33-hNIS is safe and effective in controlling human tumor xenografts in nude mice, and it also facilitates noninvasive imaging of tumors.
The correlation between lightning and various weather parameters in the Padang monsoon system
Authors: Hazmi Ariadi , Imran Hamid Muhammad , Fernandez Rudy , Andre Hanalde , Wahyu Pratama Rizki , Emeraldi Primas
Published: May 2023

The correlation between lightning and several weather parameters (rainfall, humidity, air temperature, and wind) in Padang from 2016 to 2020 was statistically analyzed. Lightning data and weather parameters were obtained from two electric field mills (EFMs) and the meteorology, climatology, and geophysics agency (BMKG), Indonesia. The study results show that the highest lightning occurred in November during the wet season. The correlation coefficient between lightning and rainfall during the wet and dry seasons was 0.52 and 0.26, respectively. Furthermore, the correlation coefficient of lightning with humidity, air temperature, and wind during the wet and dry seasons was 0.25, 0.06, 0.15, and -0.45, 0.25, -0.02, respectively. These results indicate a strong relationship between lightning and rainfall during the wet season; rainfall is the only primary variable in lightning frequency.
PID based on a single artificial neural network algorithm for DC-DC boost converter
Authors: Guiza Dhaouadi , Ounnas Djamel , Youcef Soufi , Bouden Abdelmalek
Published: May 2023

This research focuses on developing a proportional integral derivative controller based on a single artificial neural network (PID-SANN). The proposed control strategy drives the direct current (DC-DC) boost converter output voltage to follow the desired reference value. This controller calculates the PID gains via a learning algorithm based on an artificial single-neuron network, which overcomes the computational complexity of PID gains using analytical methods and automatically adjusts the controller parameters. The developed PID-SANN method offers the boost converter the appropriate duty ratio, which permits controlling the output voltage value despite fluctuations in the resistive load or input voltage. The obtained results confirm that the developed method can successfully surmount the constraints of conventional PID controllers and direct the output voltage of the considered DC-DC converter to follow the required value precisely.
Genetic algorithm with immigration strategy to solve the fixed charge transportation problem
Authors: Lahjouji El Idrissi Ahmed , Tajani Chakir
Published: May 2023

This paper is about improving the performance of genetic algorithm (GA) to solve the fixed-charge transportation problem (FCTP). Several approaches have been developed, based on adaptation and improvement of genetic operators. We propose a new genetic algorithm adopting an immigration strategy to maintain the diversity in the population and then overcome the stagnation of the values of the objective function. Thereby, we applied two types of immigration, random immigration and memory-based immigration. The numerical results obtained with several standard instances of the FCTP problem demonstrate the effectiveness of these strategies in improving the performance of the GA. Especilly, for the second strategy.
Detect botnet attacks traffic using long shorts term memory technique
Authors: Taher Jawhar Muna Mohammad , Alalla Mohammad Maha Abd
Published: May 2023

The spread of the internet of things (IoT) greatly are to its targeting by other parties that are considered suspicious or malicious, such as the attacks that are exposed to various networks to endanger their security. For this reason, it was necessary to take strict measures to protect the security and stability of networks in general and the internet of things in particular. It is worth noting that the current study presented a model and chose a long shorts term memory (LSTM) for attack detection through the use of deep learning technology via Keywords: the internet of things as well as the detection of bots in IoT systems.
Precipitation forecasting using machine learning in the region of Beni Mellal-Khenifra
Authors: Jdi Hamza , Falih Noureddine
Published: May 2023

Agriculture in the region of Beni Mellal-Khenifra, Morocco relies on irrigation from rain and dams, but recently there has been a lack of precipitation which may negatively affect crop growth. This has made accurate precipitation forecasts even more important for farmers, as they need this information to make informed decisions about their crops. However, a lack of data-driven research utilizing past data presents a challenge for the development of such research and leaves farmers relying solely on weather forecasts from TV, which cannot relied upon in systems such as irrigation. The objective of this paper is to propose various approaches for forecasting precipitation in the region of Beni Mellal-Khenifra using big data analytics and machine learning techniques. The study made use of Apache Spark, a big data analytics tool, and five machine-learning algorithms: Lasso regression, ridge regression, elastic net, auto regressive integrated moving average, and random forest. These algorithms were applied on dataset of daily rainfall from 2000 to 2015 to forecast the amount of precipitation in the region. The results of the study showed that the random forest algorithm had the lowest mean absolute error, making it the most effective at forecasting precipitation in the region.
A survey on blockchain for intelligent governmental applications
Authors: Ramadan Abdelhamid Ibrahim , Abdel Halim Islam Tharwat , El-Majeed Amin Ali Abd , Abdelmoniem Ibrahim Ibrahim
Published: May 2023

Blockchain technology has attracted a lot of attention lately because it is seen as an all-purpose method for conducting online transactions between unidentified parties without the need for a centralized authority. Modern developers and businesspeople think it will disrupt or even change both the government and industry. In this setting, government-focused blockchains are becoming increasingly prevalent. Several recent studies highlighted use cases in the public sector for decentralized information infrastructures. Blockchain is expected to revolutionize or at least simplify many governmental functions. However, because blockchain use has yet to be widely adopted in government or industrial settings, the question arises: what are the technical hurdles impeding blockchain adoption? To that purpose, a systematic literature assessment of 29 academic articles investigating software engineering problems in blockchain technology for government applications has been done. The papers are initially inductively analyzed in order to illustrate and identify the issues frequently highlighted in academic literature. Furthermore, a theoretical framework is discussed by relying on models used in traditional software development, which is then followed by deductive analysis to map out the blockchain use cases and future trends connected to the difficulties.
Enabling efficient business process mining using flatten sequential structure model
Authors: Sheng Ang Jin , Mohd Jamil Jastini , Mohd Shaharanee Izwan Nizal , Zolkipli Mohamad Fadli
Published: May 2023

The volume of extensible markup language (XML) format documents is increasing every day due to the development of internet and the use of XML format in business process log file. Storing business process log data in XML format is preferable due to the ability of extensible and storing data irrespective of how it will be represented. However, mining XML format data poses challenges due to its complex data structure and dimensions. This paper proposes a method to convert XML format document into a structured format without ignoring the structural information. Converting semi-structured business process log data into structured format will allow more data mining techniques and statistical test be conducted and extract information from the business process log data. The experiment in this study performs t-test on a set of synthetic data and a set of real-world data to prove that information in business process log can be extracted through normal statistical test. Empirical results show that statistical analysis can be conducted on business process log data especially in XML format after flatten sequential structure model (FSSM) is used.
Classifying toxicity in the Arabic Moroccan dialect on Instagram: a machine and deep learning approach
Authors: Rachidi Rabia , Ouassil Mohamed Amine , Errami Mouaad , Cherradi Bouchaib , Hamida Soufiane , Silkan Hassan
Published: May 2023

People crave interaction and connection with other people. Therefore, social media became the center of society’s life. Among the brightest social media platforms nowadays with a massive number of daily users there is Instagram, which is due to its distinctive features. The excessive revealing of personal life has put users in the spots of getting bullied and harassed and getting toxic revues from other users. Numerous studies have targeted social media to fight its harmful side effects. Nevertheless, most of the datasets that were already available were in English, the Arabic Moroccan dialect ones were not. In this work, the Arabic Moroccan dialect dataset has been extracted from the Instagram platform. Furthermore, feature extraction techniques have been applied to the collected dataset to increase classification accuracy. Afterward, we developed models using machine learning and deep learning algorithms to detect and classify toxicity. For the models’ evaluation, we have used the most used metrics: accuracy, precision, F1-score, and recall. The experimental results gave modest scores of around 70% to 83%. These results imply that the models need improvement due to the lack of available datasets and the preprocessing libraries to handle the Moroccan dialect of Arabic.
Development of renewable energy system for low power underwater devices
Authors: Salagare Sahana , Sudha Pattipati Naga , Palani Karthik
Published: May 2023

Underwater sensor networks (UWSNs) are an emerging field in the research area as they have potential applications starting from pollution monitoring to defense and ocean exploration. Ocean monitoring is of great importance in marine scientific research. However, battery-operated devices utilized in such systems have limited power and maintenance is difficult. So, devices used underwater suffer from many research challenges and energy issues. Apart from all the problems, harvesting energy underwater is the main limiting factor. Nonrenewable energies come from sources that may not be replenished in our lifetime. Hence, it is very much essential to use renewable energy sources. Ocean has an unlimited amount of energy like wind energy, solar power, and tidal energy. Obtaining sufficient energy is sort of difficult since devices are underwater. Researchers are continuously working on it. Water energy is quite environmentally friendly, and it is a sustainable solution for a secure energy system. This paper implements a renewable energy system using piezoelectric (PZT) sensor, which generates sufficient power for lowpower underwater devices by employing two stage amplifier circuits. Experimental outcome shows the proposed energy harvesting system can generate a maximum voltage of 10.6 V and current of 10.1 mA which is sufficient to run low power underwater device.
Content-based image retrieval using integrated dual deep convolutional neural network
Authors: Mirajkar Feroza D. , Fatima Ruksar , A. Qadeer Shaik
Published: May 2023

The image retrieval focuses on finding images that are similar from a dataset that is of a large scale against an image of a query. Earlier, different hand feature descriptor designs are researched based on cues that are visual such as their shape, colour, and texture. used to represent these images. Although, deep learning technologies have widely been applied as an alternative to designing engineering that is dominant for over a decade. The features are automatically learnt through the data. This research work proposes integrated dual deepconvolutional neural networks (IDD-CNN), IDD-CNN comprises two distinctive CNN, first CNN exploits the features and further custom CNN is designed for exploiting the custom features. Moreover, a novel directed graph is designed that comprises the two blocks i.e., learning block and memory block which helps in finding the similarity among images; since this research considers the large dataset, an optimal strategy is introduced for compact features. Moreover, IDD-CNN is evaluated considering the two distinctive benchmark datasets of Paris and the oxford dataset considering metrics; also, image retrieval and re-ranking is carried out against the given query. Comparative analysis of various difficulty levels against the different CNN models suggests that IDD-CNN simply outperforms the existing model.
Mapeamento de áreas suscetíveis à inundação aplicando diferentes modelos digitais de elevação no modelo Height Above the Nearest Drainage (HAND)
Authors: Queiroga Amanda Alves , Oliveira Rafaella Gouveia Loureiro , Filgueira Hamilcar José Almeida , Cunico Camila
Published: May 2023

Em todo o mundo, nações enfrentam desastres relacionados com fenômenos naturais, os quais provocam perdas diversas. Nesse sentido, é fundamental a elaboração de ações de Redução dos Riscos de Desastres (RRD), dentre as quais pode-se citar a estimativa de áreas suscetíveis a risco de desastres por inundação. O objetivo deste trabalho foi avaliar os mapeamentos de áreas passíveis de inundação na Bacia Hidrográfica do Rio Jaguaribe (BHRJ), em João Pessoa, Paraíba, Brasil, gerados a partir do modelo descritor do terreno Height Above the Nearest Drainage (HAND). Como dados de entrada, foram utilizados modelos digitais de elevação (MDEs) com resoluções espaciais de: 90 m x 90 m; 30 m x 30 m; e de 5 m x 5 m. Para validação do modelo, utilizaram-se informações apresentadas no Plano Municipal de Saneamento Básico de João Pessoa (PMSB-JP), e pontos de inundação coletados em campo. Embora haja interferências do tecido urbano, os produtos HAND obtidos se apresentaram promissores para a previsão de inundação em vários pontos da bacia hidrográfica, abrangendo até 80% dos pontos de inundação do PMSB-JP e os pontos visitados em campo, quando utilizado o MDE de maior resolução espacial. Os mecanismos de adaptação a inundações, desenvolvidos de forma precária pela comunidade visitada, evidenciaram a importância da busca pelo aumento da sua resiliência no contexto da RRD.
O trabalho dos(as) catadores(as): material reciclável não é lixo
Authors: Motta Daniele Cordeiro
Published: May 2023

Este artigo reflete sobre o trabalho feito pelos(as) catadores(as) de materiais recicláveis, partindo da ideia de que é um serviço precarizado e pensando sua origem na sociedade brasileira. Situa ainda algumas características importantes para sua análise, como o olhar para a questão racial e de gênero. O texto se baseia no pressuposto de que é necessária a valorização da categoria, discorrendo sobre a transformação sofrida ao longo das últimas décadas e a importância de desassociar o material reciclável do lixo. Tendo em vista a organização em cooperativas e associações, a relação com o Estado a partir da economia solidária e da organização pelo Movimento Nacional de Catadores de Materiais Recicláveis (MNCR), este artigo reflete sobre como tais mudanças favoreceram a continuidade da precariedade e a instabilidade da categoria, uma vez que boa parte desses(as) trabalhadores(as) ainda depende somente da venda dos materiais para obtenção de sua renda.
KIDS SAVE LIVES: Basic Life Support Education for Schoolchildren: A Narrative Review and Scientific Statement From the International Liaison Committee on Resuscitation
Authors: Schroeder Daniel C. , Semeraro Federico , Greif Robert , Bray Janet , Morley Peter , Parr Michael , Kondo Nakagawa Naomi , Iwami Taku , Finke Simon-Richard , Malta Hansen Carolina , Lockey Andrew , Del Rios Marina , Bhanji Farhan , Sasson Comilla , Schexnayder Stephen M. , Scquizzato Tommaso , Wetsch Wolfgang A. , Böttiger Bernd W. ,   on behalf of the International Liaison Committee on Resuscitation
Published: May 2023

Background:

Basic life support education for schoolchildren has become a key initiative to increase bystander cardiopulmonary resuscitation rates. Our objective was to review the existing literature on teaching schoolchildren basic life support to identify the best practices to provide basic life support training in schoolchildren.

Methods:

After topics and subgroups were defined, a comprehensive literature search was conducted. Systematic reviews and controlled and uncontrolled prospective and retrospective studies containing data on students <20 years of age were included.

Results:

Schoolchildren are highly motivated to learn basic life support. The CHECK-CALL-COMPRESS algorithm is recommended for all schoolchildren. Regular training in basic life support regardless of age consolidates long-term skills. Young children from 4 years of age are able to assess the first links in the chain of survival. By 10 to 12 years of age, effective chest compression depths and ventilation volumes can be achieved on training manikins. A combination of theoretical and practical training is recommended. Schoolteachers serve as effective basic life support instructors. Schoolchildren also serve as multipliers by passing on basic life support skills to others. The use of age-appropriate social media tools for teaching is a promising approach for schoolchildren of all ages.

Conclusions:

Schoolchildren basic life support training has the potential to educate whole generations to respond to cardiac arrest and to increase survival after out-of-hospital cardiac arrest. Comprehensive legislation, curricula, and scientific assessment are crucial to further develop the education of schoolchildren in basic life support.
Right Ventricular Sarcomere Contractile Depression and the Role of Thick Filament Activation in Human Heart Failure With Pulmonary Hypertension
Authors: Jani Vivek , Aslam M. Imran , Fenwick Axel J. , Ma Weikang , Gong Henry , Milburn Gregory , Nissen Devin , Cubero Salazar Ilton M. , Hanselman Olivia , Mukherjee Monica , Halushka Marc K. , Margulies Kenneth B. , Campbell Kenneth S. , Irving Thomas C. , Kass David A. , Hsu Steven
Published: May 2023

Background:

Right ventricular (RV) contractile dysfunction commonly occurs and worsens outcomes in patients with heart failure with reduced ejection fraction and pulmonary hypertension (HFrEF-PH). However, such dysfunction often goes undetected by standard clinical RV indices, raising concerns that they may not reflect aspects of underlying myocyte dysfunction. We thus sought to characterize RV myocyte contractile depression in HFrEF-PH, identify those components reflected by clinical RV indices, and uncover underlying biophysical mechanisms.

Methods:

Resting, calcium-, and load-dependent mechanics were prospectively studied in permeabilized RV cardiomyocytes isolated from explanted hearts from 23 patients with HFrEF-PH undergoing cardiac transplantation and 9 organ donor controls.

Results:

Unsupervised machine learning using myocyte mechanical data with the highest variance yielded 2 HFrEF-PH subgroups that in turn mapped to patients with decompensated or compensated clinical RV function. This correspondence was driven by reduced calcium-activated isometric tension in decompensated clinical RV function, whereas surprisingly, many other major myocyte contractile measures including peak power and myocyte active stiffness were similarly depressed in both groups. Similar results were obtained when subgroups were first defined by clinical indices, and then myocyte mechanical properties in each group compared. To test the role of thick filament defects, myofibrillar structure was assessed by x-ray diffraction of muscle fibers. This revealed more myosin heads associated with the thick filament backbone in decompensated clinical RV function, but not compensated clinical RV function, as compared with controls. This corresponded to reduced myosin ATP turnover in decompensated clinical RV function myocytes, indicating less myosin in a crossbridge-ready disordered-relaxed (DRX) state. Altering DRX proportion (%DRX) affected peak calcium-activated tension in the patient groups differently, depending on their basal %DRX, highlighting potential roles for precision-guided therapeutics. Last, increasing myocyte preload (sarcomere length) increased %DRX 1.5-fold in controls but only 1.2-fold in both HFrEF-PH groups, revealing a novel mechanism for reduced myocyte active stiffness and by extension Frank-Starling reserve in human heart failure.

Conclusions:

Although there are many RV myocyte contractile deficits in HFrEF-PH, commonly used clinical indices only detect reduced isometric calcium-stimulated force, which is related to deficits in basal and recruitable %DRX myosin. Our results support use of therapies to increase %DRX and enhance length-dependent recruitment of DRX myosin heads in such patients.
Rescue Stenting for Failed Mechanical Thrombectomy in Acute Ischemic Stroke: Systematic Review and Meta‐analysis
Authors: Rodriguez‐Calienes Aaron , Vivanco‐Suarez Juan , Galecio‐Castillo Milagros , Sequeiros Joel M. , Zevallos Cynthia B. , Farooqui Mudassir , Siddiqui Fazeel , Ortega‐Gutierrez Santiago
Published: May 2023

Background

When mechanical thrombectomy (MT) fails to achieve successful reperfusion, rescue stenting (RS) has proven to be a feasible rescue therapy. However, the available evidence remains underpowered to assess clinical outcomes. We aimed to compare the safety and efficacy of RS versus routine medical management in patients with failed MT using an aggregated meta‐analysis.

Methods

A systematic review was performed from inception to July 2022 of all studies using RS after failed MT. Outcomes of interest included a modified Rankin scale score of 0–2 at 90 days, successful reperfusion (modified Thrombolysis in Cerebral Infarction 2b–3) after RS and symptomatic intracranial hemorrhage. A random‐effects meta‐analysis between the RS and medical treatment arms was performed to calculate pooled odds ratios (OR) for each outcome. We assessed the certainty of evidence using the Grading of Recommendation, Assessment, Development, and Evaluation approach. Statistical heterogeneity across studies was assessed with I2 statistics.

Results

A total of 12 studies included 1855 participants, 729 in the RS arm and 1126 in the medical treatment arm. The pooled results indicated that RS was associated with a significantly higher proportion of patients with a modified Rankin scale score of 0–2 at 90 days (RS: 41% versus 21%; OR,3.27; [95% CI 2.08–5.16]; I2=64%; moderate‐certainty evidence) and a decreased risk of mortality at 90 days (RS: 22.5% versus 33.8%; OR, 0.47; [95% CI 0.32–0.69]; I2=45%; low‐certainty evidence), compared with medical treatment after failed MT. The pooled rate of successful reperfusion after RS was 87% (95% CI 82–91; I2=57%; low‐certainty evidence). The rate of symptomatic intracranial hemorrhage did not differ between groups (RS: 8.5% versus 11.7%; OR, 0.85; [95% CI 0.59–1.20]; I2=7%; low‐certainty evidence).

Conclusion

RS is a promising strategy for maximizing recovery in acute stroke patients after first line MT fails to achieve meaningful reperfusion. However, randomized trials using a standardized approach/technique and MT failure definition are warranted to confirm these results.
Influence of different feeding rates of polychaete worms, Eulalia viridis (Annelida, Polychaeta), on the gonad development of male Penaeus semisulcatus (Decapoda, Dendrobranchiata) under captive conditions
Authors: Harini C. , Betsy C. Judith , Dattatreya P. Sri , Sampath Kumar J. Stephen
Published: May 2023

Penaeus semisulcatus is a large growing species, attaining a maximum size of about 250 mm in total length. It is more resistant to white spot syndrome virus (WSSV) than other cultivable penaeid shrimps, which makes it a potential candidate for culture. The present study evaluated the influence of a different feeding rate of polychaete worms on the gonad development of male P. semisulcatus under captive conditions. P. semisulcatus sub-adults were obtained in the wild. The shrimps were fed with three different concentrations of polychaete worms, viz., ad libitum (T1), 5% of body weight (BW) (T2) and 10% BW (T3), and fresh sardines were fed as a Control (C) diet, all for a period of 60 days. Sampling was done once in 15 days and the bio-growth parameters were recorded. The gonads were harvested for histological analysis. The maximum weight gain (10.19 g), mean weight gain percentage (85.20%), mean daily growth rate (DGR) (0.169833) and mean specific growth rate (SGR) (0.45) were found in shrimps fed with the polychaete worm diet at 5% BW. The estimated bio-growth parameter values were statistically significant when analysed using One way ANOVA (). Histological sections of the testis showed variations in the development of the gonad between the treatments with different feeding rates during the 60 days trials. Indeed in all aspects, the development was higher in shrimps fed with polychaete worms at 5% BW. It can be concluded that feeding polychaete worms at 5% BW created a regime able to improve growth rates, gonad maturation, and quality in the development of the captive male brood stock.
Vowel hiatus resolution in Koine Greek
Authors: Berenguer-Sánchez José A.
Published: May 2023

The spellings -ις, -ιν instead of -ιος, -ιον are a characteristic feature of Koine Greek. The circumstances in which they arose have constituted a vexed question. Their presence in Egyptian Greek documentary papyri from III BC to VIII AD stands out. Nowadays it is possible, thanks to new digital tools, to access all the regularized spellings in modern editions. Analysis and typological comparison allow us to rethink the hypotheses put forward in previous studies. In particular, it is useful not to study these spellings independently of the spellings -oῦ, -ῶ(ι) instead of -ίου, -ίω(ι). The graphic omission of ⟨o⟩ in some forms and of ⟨ι⟩ in others reflects different results of a vowel hiatus resolution process in sequences of increasing sonority [i.V(C)]. This process is gradient and different allophones could be represented by the same spelling. Of the possible factors for the omission of ⟨o⟩ or ⟨ι⟩, the word accent distribution is the basic cause determining the final form. However, as usually happens in processes of vowel hiatus resolution in other languages, other internal or external factors may also have influenced the results. Due to this gradience in the process and the distinction of glides of different types, the effect of V1 (converted into a glide) on the previous consonant could be different from what has been documented in [Cj] groups in other stages of Greek.
Classical Greek object cases
Authors: Murphy A.J. , Dubinsky Stanley
Published: May 2023

We examine here the distribution of morphological case (e.g., accusative, genitive, and dative) among object complements of monotransitive verbs in Classical Greek (CG). Accusative-marked objects are generally deemed to be direct objects (DO), while dative- and genitive-marked complements are typically treated as syntactically or semantically separate, sometimes being treated as objects bearing exceptional/semantic/quirky case and sometimes being analyzed simply as indirect objects (IO). Restricting our focus to verbs which have a single complement, we can observe that the distribution of accusative (ACC), genitive (GEN), and dative (DAT) marking on these in CG is atypical. CG productively places DAT and GEN NP s alongside ACC NP s as a singular complement to monotransitive verbs, allowing them to occupy what would normally be thought of as the direct-object position, but for their GEN and DAT case-marking. We offer an analysis of these verbs and their semanto-syntactic collocations, seeking to understand what is communicated through the marking of either ACC, GEN, or DAT on complement NP s. We find first that ACC and GEN-marking verbs interact in a transitivity hierarchy, being set apart by the change of state of the object (following an analysis laid out by Luraghi 2010). Second, we find that DAT-marking verbs exist outside of this hierarchy, making up their own productive class of interaction verbs, those which denote a complex series of overlapping subevents (first laid out by Blume 1998). Thus, this study offers an analysis of a wide array of ACC, GEN, and DAT case-marking verbs collected from a corpus of nine Classical Greek authors, providing the first statistical analysis of the conundrum of ‘atypical’ case-selection patterns of Classical Greek monotransitive verbs, wherein non-ACC cases are used to mark what appear to be DO s.
Linking Auditory-Induced Bouncing and Auditory-Induced Illusory Crescents: an Individual-Differences Approach
Authors: Meyerhoff Hauke S. , Stegemann Marlena J. , Frings Christian
Published: May 2023

When two disks move toward each other, overlap, and then move apart, the visual system can resolve the ambiguity either as two disks streaming past each other or two disks bouncing off each other. Presenting a brief beep at the moment of overlap has been observed to increase the proportion of reported bouncing impressions (i.e., auditory-induced bouncing) as well as to reduce the perceived overlap between the disks (leaving a larger uncovered crescent; auditory-induced illusory crescents). Previous research has speculated about the relationship between both variables, but no direct evidence has been reported yet. We present an individual-differences study in which our participants completed the bouncing/streaming task as well as the illusory crescent task on two consecutive days (to obtain test–retest reliabilities). We obtained acceptable to good reliabilities for the effect of the tone in both dependent measures. Most importantly, auditory-induced bouncing and auditory-induced illusory crescents were correlated in the moderate range suggesting that both illusions are related and share common underlying cognitions. Yet, moderate correlations also indicate that both measures partially capture distinct aspects of the object correspondence.
Taxonomic study of the subfamily Pyraustinae (Lepidoptera: Crambidae)in Iran
Authors: ALIPANAH HELEN , ASSELBERGS JAN , MALM TOBIAS , SLAMKA FRANTIŠEK
Published: May 2023

Sixty-seven species of the subfamily Pyraustinae from 17 genera and two tribes are listed. Anania verbascalis verbascalis ([Denis & Schiffermüller], 1949) is considered as a senior synonym of A. verbascalis parvalis (Osthelder, 1935) syn. n.; Pyrausta virginalis Duponchel, 1832 as a senior synonym of P. perkeo Amsel, 1970 syn. n.; and P. ferrealis (Hampson, 1900) as a senior synonym of P. euergestalis Amsel, 1954 syn. n. Thirteen species, namely Anania coronata (Hufnagel, 1767), A. murcialis (Ragonot, 1895), A. terrealis (Treitschke, 1829), Pyrausta ferrealis (Hampson, 1900), P. armeniaca Slamka, 2013, P. zeitunalis Caradja, 1916, P. cingulata (Linnaeus, 1758), P. delicatalis Caradja, 1916, P. tatarica Kemal et al., 2020, Loxostege sedakowialis (Eversmann, 1852), L. wagneri Zerny in Wagner, 1929, L. mucosalis (Herrich-Schäffer, 1848) and L. peltaloides (Rebel in Wagner, 1932), are newly reported from Iran. Additionally, a redescription of the male of P. delicatalis and the female of L. sedakowialis, as well as description of the hitherto unknown female of P. delicatalis are presented. The intraspecific variations of the species if present are discussed and additional new diagnostic characters to separate the closely related species are presented. Data on the geographical distribution of the Iranian species of this subfamily are provided.
Significant West Antarctic Cooling in the Past Two Decades Driven by Tropical Pacific Forcing
Authors: Zhang Xueying , Wang Yetang , Hou Shugui , Heil Petra
Published: May 2023

During the second half of the twentieth century, the West Antarctic Ice Sheet (WAIS) has undergone significant warming at more than twice the global mean and thus is regarded as one of the most rapidly warming regions on Earth. However, a reversal of this trend was observed in the 1990s, resulting in regional cooling. In particular, during 1999–2018, the observed annual average surface air temperature had decreased at a statistically significant rate, with the strongest cooling in austral spring. The spring cooling correlates significantly with the second leading modes (EOF2) derived from empirical orthogonal function (EOF) analysis on the sea level pressure over Antarctica during 1999–2018, associated with the negative phase of the interdecadal Pacific oscillation with an average of cooling of central and eastern tropical Pacific surface sea temperature (SST) anomalies. The EOF2 results in the enhanced cold southerly winds on the continental WAIS through the cyclonic conditions over the Amundsen Sea region and a blocking high in the Drake Passage and northern Antarctic Peninsula, causing the WAIS cooling trend.
Predictability of Marine Heatwaves off Western Australia Using a Linear Inverse Model
Authors: Wang Yuxin , Holbrook Neil J. , Kajtar Jules B.
Published: May 2023

Marine heatwaves (MHWs) off Western Australia (110°–116°E, 22°–32°S; herein, WA MHWs) can cause devastating ecological impacts, as was evidenced by the 2011 extreme event. Previous studies suggest that La Niña is the major large-scale driver of WA MHWs, while the Indian Ocean dipole (IOD) may also play a role. Here, we investigate historical WA MHWs and their connections to these large-scale climate modes in an ocean model (ACCESS-OM2) simulation driven by a prescribed atmosphere from JRA-55-do over 1959–2018. Rather than analyzing sea surface temperature, the WA MHWs and climate mode indices were characterized and investigated in vertically averaged temperature (VAT) to ∼300-m depth to afford the longer ocean dynamic time scales, including remote oceanic connections. We develop a cyclostationary linear inverse model (CS-LIM; from 35°S to 10°N, across the Indo-Pacific Ocean), to investigate the relative contributions of La Niña VAT and positive IOD VAT to the predictability of WA VAT MHWs. Using a large ensemble of CS-LIM simulations, we found that ∼50% of WA MHWs were preceded about 5 months by La Niña, and 30% of the MHWs by positive IOD about 20 months prior. While precursor La Niña or positive IOD, on their own, were found to correspond with increased WA MHW likelihood in the months following (∼2.7 times or ∼1.5 times more likely than by chance, respectively), in combination these climate mode phases were found to produce the largest enhancement in MHW likelihood (∼3.2 times more likely than by chance). Additionally, we found that stronger and longer La Niña and/or positive IOD tend to lead stronger and longer WA MHWs.

Significance Statement

This study examines seasonal-to-interannual time-scale predictability of marine heatwaves off Western Australia. We developed and applied a linear inverse model, informed by numerical model results, to generate a large number of 60-yr temperature simulations across the broader Indian–Pacific Ocean region to quantify this marine heatwave predictability. We found that La Niña typically increases the likelihood of marine heatwaves off Western Australia about 5 months (3–7 months) later, while positive Indian Ocean dipole events increase their likelihood about 20 months (18–22 months) later. Marine heatwaves can severely impact local marine ecosystems and the economy. Our findings are expected to be valuable for marine heatwave prediction system development on time scales that can be beneficial to marine ecosystem conservation and fishery management.