bluuebunny/crossref_metadata_2025_split huggingface dataset:
PROFESSOR E A FORMAÇÃO CIDADÃ: O USO DO ENSINO JURÍDICO-TRABALHISTA NO ENSINO MÉDIO INTEGRADO COMO FERRAMENTA DE EMANCIPAÇÃO
Authors: Silva Wicara Lima e , Nunes Cícero Barboza 
Published: March 2024

A educação brasileira estabelece legislação e diretrizes curriculares que priorizam uma proposta de formação humana integral, especialmente no ensino médio. Todavia, para que esta realidade seja concretizada, os professores desta etapa da educação básica tem papel fundamental, uma vez que podem utilizar sua liberdade de atuação para inserir no dia-a-dia dos alunos conteúdos que sejam fundamentais para uma formação cidadã, crítica e reflexiva. Neste sentido, parte-se da premissa que o ensino médio quando integrado à educação profissional e tecnológica deve se preocupar especialmente com as futuras relações de trabalho que surgirão a partir dos conhecimentos nele adquiridos, consequentemente, o estudo em direito do trabalho mostra-se fundamental. Para tanto, este estudo foi realizado a partir de revisões bibliográficas, as quais foram fundamentadas pela legislação em vigor, bem como por meio das reflexões de pesquisadores como Marise Ramos, Dante Moura, Arnaldo Antunes, Kuenzer e Saviani. Por fim, conclui-se que o professor do Ensino Médio Integrado deve desenvolver em seus alunos olhar crítico sobre a relação que envolve capital e trabalho, bem como refletir sobre o cenário de precarização e flexibilização que envolvem os trabalhadores. Ressalte-se que esta atuação docente sobre o conhecimento jurídico-trabalhista toma por base a liberdade curricular garantida pela própria BNCC, desde que de forma tranversal e integradora. Dessa forma, acredita-se que o ensino jurídico-trabalhista pode ser uma ferramenta capaz de auxiliar os professores a atingir os objetivos anteriormente mencionados, especialmente no contexto do Ensino Médio Integrado, última etapa de preparação para adentrar no mundo do trabalho.
Comparison of Grip Test and TFI parameters depending on the sex of patients eligible for TAVI treatment
Authors: Godek Piotr 
Published: March 2024

WstępCiężkie zwężenie zastawki aortalnej to istotny problem kliniczny w starzejących się społeczeństwach. Jedną z opcji terapeutycznych dla pacjentów z taką diagnozą jest przezcewnikowe wszczepienie zastawki aortalnej (<i>transcatheter aortic valve implantation</i> – TAVI).Materiał i metodyW grupie pacjentów (n = 92) leczonych z powodu zwężenia zastawki aortalnej w Górnośląskim Centrum Medycznym im. prof. Leszka Gieca SUM w Katowicach w latach 2018–2020, kwalifikowanych przez heart team do leczenia metodą TAVI, dokonano oceny siły mięśniowej oraz oceny prawdopodobieństwa występowania zespołu kruchości. Dodatkowo grupę badaną podzielono ze względu na płeć, aby porównać częstość występowania zespołu kruchości i rozkład wartości referencyjnych pomiarów siły mięśniowej w zależności od tego czynnika.WynikiMediana siły mięśniowej zmierzonej testem Grip wyniosła 26,8 kg. Wartości te, w połączeniu z danymi z Tilburg Frailty Indicator (TFI), wskazywały na istotną kruchość u badanej próby. Mediana wyników testu TFI wynosiła 8 pkt, co wskazywało na wysoki poziom kruchości. Funkcja serca, mierzona za pomocą frakcji wyrzutowej (<i>ejection fraction</i> – EF), wynosiła 55% – wartość ta była w granicach normy, co sugerowało umiarkowane funkcjonowanie serca. Wartość mediany przepływu kłębuszkowego (<i>glomerular filtration rate</i> – GFR) wynosiła 62,5 ml/min/1,73 m<sup>2</sup>, co również sugerowało umiarkowane funkcjonowanie nerek.WnioskiW odniesieniu do zespołu kruchości, określonego za pomocą testu TFI, prezentowane w pracy wyniki pokazują, że zdecydowana większość badanych (94,6%) ma symptomy zespołu kruchości. Głębsza analiza wyników TFI pokazała, że prawie 60% badanych uzyskało do 5 pkt (łagodny stopień kruchości), podczas gdy 27,5% powyżej 10 pkt (ciężki stopień kruchości).
Pengaruh Latihan Plyometric Depth Jump Terhadap Daya Ledak Otot Tungkai Dan Kadar Enzim Keratinfosokinase (CPK) Pemain Bola Basket
Authors: Juli Fitrianto Eko , Sujiono Bambang , Robianto Agung 
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh latihan plyometric depth jump terhadap daya ledak otot tungkai dan kadar enzim keratinfosokinase (CPK) pada atlet basket. Latihan plyometric depth jump adalah tipe latihan yang predominan metabolisme anaerobik yang dilakukan dalam intensitas tinggi sehingga dapat menimbulkan cedera pada sel otot. Metode penelitian ini adalah eksperimental dengan subjek penelitian 22 atlet bola basket putra dengan rata-rata usia 19 tahun selama 6 minggu. Sebelum pemberian latihan dilakukan pengukuran daya ledak otot tungkai dan kadar (CPK) diukur 24 jam setelah melakukan latihan pertama. Hasil penelitian menunjukkan peningkatan daya ledak otot tungkai (54,05±5,00 vs 58,32±4,17 p=0,00) sebesar 9,56% dan penurunan kadar CPK (626,32±506,98 vs 260,68 ±155,02 p=0,00) sebesar 27,88% setelah melakukan latihan plyometic depth jump selama 6 minggu. Simpulan penelitian menunjukkan bahwa latihan plyometric depth jump meningkatkan daya ledak otot tungkai dan menurunkan kadar CPK pada pemain bola basket setelah melakukan latihan selama 6 minggu.
Kata Kunci: Plyometrik Depth Jump, Daya Ledak Otot Tungkai, Enzim Keratinfosokinase (CPK)

ABSTRACT
This study aims to find out effect of plyometric depth jump exercises on the explosive power of the limb muscles and levels of the enzyme keratinfosokinase in basketball athletes Plyometric depth jump exercises are types of exercises that predominant anaerobic metabolism performed in high intensity so as to cause injury to muscle cells.This research method was experimental with the study subjects of 22 male basketball athletes with an average age of 19 years a 6-week plyometric depth jump exercise. Prior to the administration of exercise, measurements of limb muscle explosives and keratinfosokinase (CPK) enzyme levels were measured 24 hours after the first exercise. The results showed an increase in the explosive power of the limb muscles (54.05±5.00 vs. 58.32±4.17 p=0.00) by 9.56% and a decrease in CPK levels (6 26.32±506.98 vs 260.68 ±155.02 p=0.00) by 27.88% after doing plyometic depth jump exercises for 6 weeks.The study concluded that plyometric depth jump exercises increase the explosiveness of the limb muscles and lower CPK levels in basketball players after 6 weeks of exercise.
Keywords: Plyometric Depth Jump, Limb Muscle Explosive Power, Enzyme Keratinfosokinase (CPK)
Kondisi Fisik Olahraga Bulutangkis
Authors: Aisyah Nuning 
Published: March 2024

ABSTRACT
If an athlete wants to have a good physical condition, then the player or athlete must improve their physical condition so that an athlete is able and easy to perform a technique appropriately and well, and does not easily get tired when participating in training or competition, training can be passed by right, and something that is not desired or even constrained, can be resolved by having an athlete's desire to learn, and following the training appropriately and correctly Physical condition is very necessary, for a student or athlete because if the physical condition is less automatic, the desire to become a champion will experience various difficulties and it is impossible to achieve high achievement. The physical condition status for a badminton or badminton player will be able to provide a point or value to achieve the target or target in order to enter the national plate according to the criteria determined by the national plate. The training conditions for badminton can be interpreted as the ability of individual athletes who will take a player or athlete to a higher level and can measure the extent to which an athlete is capable. As well as good athletes must master the various components to support achievement. One of the ways to determine the physical condition of an athlete is influenced by the appropriate pattern of recovery. Not only that, the coach is also an indispensable support for an athlete in order to increase the performance of an athlete. A professional trainer has competence in his / her field of expertise.
Keywords: physical condition, badminton, sports, body components.
Quantitative Analysis of Diagenesis Control on the Spatial Heterogeneity of Sarvak Carbonate Formation, the Dezful Embayment of Zagros Basin, Western Iran
Authors: Mehdipour Vali , Rabbani Ahmad Reza , Kadkhodaie Ali 
Published: March 2024

Summary
The heterogeneity indices in conventional carbonate reservoirs are usually influenced by various diagenetic processes. The main aim of this study is to build 3D geological models of the diagenetic and heterogeneity indices addressing the role of diagenesis on spatial heterogeneity variations in the Sarvak carbonate reservoir of an Iranian oil field situated in the Dezful Embayment in the Zagros Basin. Vertical heterogeneity has been discussed in many studies, but the literature is limited on the 3D geological modeling of heterogeneity and providing spatial heterogeneity maps. In this study, we determined the main diagenetic parameters influencing the reservoir heterogeneity and constructed 3D geological models for evaluating the spatial heterogeneity. A couple of heterogeneity indices including the coefficients of variation (CVs) of porosity and permeability, Lorenz coefficient, and Dykstra-Parsons coefficient in cored intervals along with some diagenetic parameters were calculated and modeled. This study shows that lateral heterogeneity is mappable and correlatable with different diagenetic overprints along with shale volume, which controls the reservoir quality and spatial heterogeneity. It also indicates that lateral trends of the heterogeneity indices in different zones of the studied reservoir are influenced by other diagenetic parameters such as secondary porosity (SPI), dolomitization, cementation, and velocity deviation log (VDL, as a diagenetic index). Different diagenetic parameters control reservoir heterogeneity in each zone by decreasing or increasing the degree of the heterogeneity, some of which have dual constructive or destructive effects on heterogeneity indices. Moreover, the results show that the effect of shale volume on reservoir heterogeneity is significant, especially when the amount of the shale volume is notable.
The Causal Effect of an Intergroup Contact Intervention on Affective Polarization around Brexit: A Randomized Controlled Trial
Authors: Tausch Nicole , Birtel Michèle , Górska Paulina , Bode Sidney , Rocha Carolina 
Published: March 2024

Abstract

With mounting evidence of the increase and harmful societal consequences of affective polarization, it is crucial to find ways of addressing it. This proof-of concept study tested the effects of a theory-based intervention on affective polarization in the context of Brexit. Sixty Leaver-Remainer dyads were randomized to engage in either a facilitated intergroup interaction or a control interaction, which was equivalent in structure and tone but was unrelated to Brexit identities. Different aspects of affective polarization were measured one month prior, immediately after, and one month after the intervention. Results indicate short-term intervention effects on intergroup affect and cognition, and willingness to compromise with the outgroup, but these mostly decayed over time. Evidence of selective attrition suggests that those with more extreme baseline opinions were more likely to drop out. The findings are of considerable importance for efforts to reduce affective polarization and highlight the challenge of engaging those who could benefit the most.
National climate strategies show inequalities in global development of geological storage of CO2
Authors: Roberts Jennifer , Alcalde Juan , Johnson Gareth 
Published: March 2024

Abstract

CO2 geological storage (CGS) is considered critical for limiting global average temperature rise to below 1.5°C by mitigating fossil industrial emissions and delivering permanent carbon dioxide removals. We examine the role of CGS in long-term national emission reduction strategies submitted to the UNFCCC under the Paris Agreement. We find that a third of countries plan to develop CGS for emissions mitigation only, and a third for both emissions mitigation and carbon removals, but no countries plan on CGS for carbon removals alone. Neither the presence or performance of CO2 storage maturity assessments correspond to CGS plans. The climate strategies of high-income countries with high historic oil and gas production show firmest commitment to CGS. These countries already have multiple advantages for implementing and benefiting from CGS, which raises inequalities and sensitivities that must be carefully considered when designing carbon market and climate finance policies and frameworks for CGS development.
Lowering the Barrier: Importance of A-Site Cation Chemistry in Superionic Halide Solid Electrolytes
Authors: Seymour Ieuan , Barker Kit , McKinney Sarah , Artal Raul , Jimenez Ricardo , Tapia-Ruiz Nuria , Skinner Stephen , Aguadero Ainara 
Published: March 2024

Abstract

Halide solid electrolytes do not currently display ionic conductivities suitable for high-power all-solid-state batteries. We explore the model system A2ZrCl6 (A = Li, Na, Cu, Ag) to understand the fundamental role that A-site chemistry plays on fast ion transport. Having synthesised Ag2ZrCl6 for the first time we reveal exceptional room temperature ionic conductivities in Cu2ZrCl6 and Ag2ZrCl6 of 1 × 10−2 and 4 × 10−3 S cm−1, respectively. We introduce the concept that there are inherent limits to ionic conductivity in solids, where the energy and number of transition states play pivotal roles. Transport that involves multiple coordination changes along the pathway suffer from an intrinsic minimum activation energy. At certain lattice sizes, the energies of different coordinations can become equivalent, leading to remarkably lower barriers when a pathway involves a single coordination change. Our models provide a deeper understanding into the optimisation and design criteria for halide superionic conductors.
Deep learning image reconstruction technique based on sinogram with 99m Tc-3PRGD2 chest SPECT
Authors: Wang Tong , Jin Xiaona , Xing Haiqun , Luo Yaping , Li Fang 
Published: March 2024

Abstract

Purpose
This study is to evaluate the accuracy of a deep learning reconstruction method based on sinogram with 99mTc-3PRGD2 chest SPECT. The aim is to shorten the local SPECT scanning time by 50% while preserving the quality of the images, allowing for faster completion of full-body SPECT scanning.
Materials and Methods
The images were selected from 33 patients diagnosed with lung cancer both clinically and pathologically. The full-projection and half-projection reconstruction techniques were used to create SPECT tomographic images. All the projection images were used as the " Ground Truth ", and half of the images were used to create full-projection SPECT images. A training dataset 28 for the building model and a test dataset 5 were used to evaluate the image quality by measuring the image error of the test dataset.
Result
The evaluation results of the image quality for the 99mTc-3PRGD2 chest SPECT images using the deep learning reconstruction method based on sinogram were based on 5 test datasets. The following metrics were calculated: mean absolute error (MAE), mean-square error (MSE), Peak signal to noise ratio (PSNR), structural similarity (SSIM), normalized root mean square error (NRSM), and normalized Mutual Information (NMI). The average values of PSNR and SSIM were found to be 46.43 ± 5.05 and 0.92 ± 0.02, respectively. The mean values for MAE, MSE, NRSM, and NMI were 1.04 ± 0.52, 9.54 ± 7.24, 0.07 ± 0.03, and 1.59 ± 0.04, respectively.
Conclusion
A novel approach to SPECT imaging involves using deep learning and selecting only half of the projections to reconstruct SPECT images directly from a sinogram. This technique has been shown to yield tomographic images of comparable quality to those obtained from full projection images while reducing scanning time for 99mTc-3PRGD2 chest SPECT by 50%.
scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
Authors: Zhao Hongyu , Liu Tianyu , Chen Tianqi , Zheng Wangjie , Luo Xiao 
Published: March 2024

Abstract

Various Foundation Models (FMs) have been built based on the pre-training and fine-tuning framework to analyze single-cell data with different degrees of success. In this manuscript, we propose a method named scELMo (Single-cell Embedding from Language Models), to analyze single cell data that utilizes Large Language Models (LLMs) as a generator for both the description of metadata information and the embeddings for such descriptions. We combine the embeddings from LLMs with the raw data under the zero-shot learning framework to further extend its function by using the fine-tuning framework to handle different tasks. We demonstrate that scELMo is capable of cell clustering, batch effect correction, and cell-type annotation without training a new model. Moreover, the fine-tuning framework of scELMo can help with more challenging tasks including in-silico treatment analysis or modeling perturbation. scELMo has a lighter structure and lower requirement for resources. Moreover, our method is comparable to recent large-scale FMs (such as scGPT, [1] Geneformer [2]) based on our evaluations, suggesting a promising path for developing domain-specific FMs.
Molybdenum-based Metallic Cluster-type Memristor exhibiting Stochastic Switching and Analog-state Programmable Characteristics and its Utilization for Homomorphic Encryption Hardware
Authors: Kim Kyung Min , Cheong Woon Hyung , In Jae Hyun , Jeon Jae Bum , Kim Geun Young 
Published: March 2024

Abstract

Homomorphic encryption performs computations on encrypted data without decrypting, thereby eliminating security issues during the data communication between clouds and edges. As a result, there is a growing need for homomorphic encryption hardware (HE-HW) for the edges, where low power consumption and a compact form factor are desired. Here, a Pt/Ta2O5/Mo metallic cluster-type memristors (Mo-MCM) characterized by the Mo as a mobile species, and its utilization for the HE-HW via a 1-trasistor-1-memristor (1T1M) array as a prototype HE-HW is proposed. The Mo-MCM exhibits inherent stochastic set-switching behavior, which can be utilized for generating the random numbers required for encryption key generation. Furthermore, the device can accurately store analog conductance states after set-switching, which can be used as an analog non-volatile memristor. By simultaneously leveraging these two characteristics, encryption key generation, data encryption, and decryption are possible within a single device through an in-memory computing manner. With the idea, the complete homomorphic communication process using the HE-HW is demonstrated, presenting new pathways for memristor-based hardware technology.
Assessment of hydrological hazards: how to manage missing data on south-west Madagascar
Authors: RAKOTOARISOA Mahefa Mamy , Fleurant Cyril , Taïbi Aude Nuscia , Razakamanana Théodore 
Published: March 2024

Abstract

The south-west of Madagascar faces various climate hazards, especially rising water levels. Each year, the city of Toliara is subjected to quick and devastating floods, which appear to have increased in intensity and frequency. In addition, this region is one that represents completely the “north/south fracture”, that is to say a “...technologic fracture between northern countries and southern countries concerning the availability of data and the model deployment constraints” (Payet, 2015). Thus, all the hydrometric data available for this region are incomplete. Based on this issue of missing data, this study is divided into two parts: the first is the reconstruction of the data and the second is the modeling of these data to obtain a rigorous representation of the chronicles. First, the reconstruction part must fulfill the following two conditions: (i) represent the overall dynamics of the series and (ii) be simple enough to easily take them into account in the analysis and interpretation at the end of the modeling. We offer a way to reconstruct these missing data by combining seasonal decomposition methods and simple linear regression. After that, we use classic statistical methods to adjust the model to our chronicles. We obtain two types of model: a SARIMA model, which is a Seasonally Auto-Regressive Integrated Moving Average model, and an ARIMAX model (Auto-Regressive Integrated Moving Average with eXogeneous inputs), which is a combination of a linear model and our SARIMA model. The two models are quite functional as we tested their quality and the statistical significance of their coefficients. This method can help scientists working in southern countries not to discard incomplete data but to exploit them as much as possible because they convey important and usable information, as long as we consider the uncertainty of their conditions of creation.
The short-term spinal cord stimulation improves the rates of tracheal decannulation in patients of brain injury with disorders of consciousness
Authors: Huang guanlin , Wang Dong , Chen Qiang , Zhong Qi , Huang Weilong , Zhou Xiaoping , Jiang Qiuhua 
Published: March 2024

Abstract
Objective: To investigate the effects of the short-term spinal cord stimulation (stSCS) on the rates of tracheal decannulation in patients of brain injury with disorders of consciousness (DoC).
Methods: 81 patients of brain injury with DoC after tracheotomy treated in Ganzhou People’s hospital from June 2021 to June 2022 were retrospectively analyzed.
Results: We divided the patients into two groups, 46 patients who underwent stSCS as observation group, and 35 patients who did not undergo stSCS under the same conditions as the control group. The rates of decannulation were compared between the two groups. The rates of decannulation were 50% in the observation group and 25.7% in the control group. There was significant difference between the two groups.
Conclusion: stSCS can improve the rates of decannulation in patients of brain injury with DoC.
Identifying the NT-proBNP-related lncRNAs and miRNAs in cardiac surgery-associated acute kidney injury by RNA-sequencing
Authors: Li Bianfang , Wu Xiaojing , Gao Yuchen , Wang Chunrong , Liu Jia , Wang Yuefu 
Published: March 2024

Abstract

Cardiac surgery-associated acute kidney injury (CS-AKI) is a severe clinical condition that imposes substantial social and economic burdens worldwide. Imbalances in water and salt homeostasis and inflammatory responses are considered significant factors contributing to CS-AKI. Our previous research reported that preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) served as a reliable predictor of CS-AKI. Additionally, accumulating evidence has demonstrated that dysregulated expression of long non-coding RNA (lncRNA) and microRNA (miRNA) is implicated in the pathological processes of CS-AKI. However, the roles and molecular mechanisms through which NT-proBNP regulates lncRNA and miRNA in CS-AKI remain unclear. In this study, we aimed to identify the expression profiles of lncRNAs and miRNAs in the BNP-high and BNP-stable groups, as well as the AKI and non-AKI groups, using RNA-sequencing. Our analysis identified 105 differentially expressed miRNAs (DEMs) and 138 differentially expressed lncRNAs (DELs) in the BNP grouping. Interestingly, we found 7 common DELs and DEMs in both the BNP grouping and AKI grouping. Through comprehensive analysis of the Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment results of the target genes of these 7 DELs and DEMs, along with relevant literature reports, we identified miR-135a-5p, miR-138-5p, miR-143-3p, and miR-206 as potential key players in CS-AKI, particularly in mediating water and salt metabolism and inflammatory responses. These findings offer new insights into the research direction and potential treatment strategies for CS-AKI.