bluuebunny/crossref_metadata_2025 huggingface dataset:
Metabolic predictors of COVID-19 mortality and severity: A Survival Analysis
Authors: Abdallah Abdalla Musa , Doudin Asmma , Sulaiman Theeb , Jamil Omar , Arif Rida , Saada Fatima Al , Yassine Hadi , Elrayess Mohamed , Elzouki Abdel-Naser , Emara Mohamed , Thillaiappan Nagendra Babu , Cyprian Farhan
Published: July 2023

Background The global healthcare burden of COVID19 pandemic has been unprecedented with a high mortality. Metabolomics, a powerful technique, has been increasingly utilized to study the host response to infections and for understanding the progression of multi-system disorders such as COVID-19. Analysis of the host metabolites in response to SARS-CoV-2 infection can provide a snapshot of the endogenous metabolic landscape of the host and its role in shaping the interaction with SARS-CoV-2. Disease severity and consequently the clinical outcomes may be associated with a metabolic imbalance related to amino acids, lipids, and energy-generating pathways. Hence, the host metabolome can help predict potential clinical risks and outcomes.Methods In this study, using a targeted metabolomics approach, we studied the metabolic signatures of COVID-19 patients and related it to disease severity and mortality. Blood plasma concentrations of metabolites were quantified through LC-MS using MxP Quant 500 kit, which has a coverage of 630 metabolites from 26 biochemical classes including distinct classes of lipids and small organic molecules. We then employed Kaplan-Meier survival analysis to investigate the correlation between various metabolic markers, and disease severity and patient outcomes.Results A comparison of survival rates between individuals with high levels of various metabolites (amino acids, tryptophan, kynurenine, serotonin, creatine, SDMA, ADMA, 1-MH, and indicators of carnitine palmitoyltransferase 1 and 2 enzymes) and those with low levels revealed statistically significant differences in survival outcomes. We further used four key metabolic markers (tryptophan, kynurenine, asymmetric dimethylarginine, and 1-Methylhistidine) to develop a COVID-19 mortality risk model through the application of multiple machine-learning methods.Conclusions In conclusion, these metabolic predictors of COVID19 can be further validated as potential biomarkers to identify patients at risk of poor outcomes. Finally, integrating machine learning models in metabolome analysis of COVID-19 patients can improve our understanding of disease severity and mortality by providing insights into the relationship between metabolites and the survival probability, which can help lead the development of clinical risk models and potential therapeutic strategies.
The prognostic impact of BMI in patients with HR+/HER2- advanced breast cancer: a study of the SONABRE registry
Authors: Lammers Senna W.M. , Thurisch Hannah , Vriens Ingeborg J.H. , Meegdes Marissa , Engelen Sanne M.E. , Erdkamp Frans L.G. , Dercksen M. Wouter , Vriens Birgit E.P.J. , Aaldering Kirsten N.A. , Pepels Manon J.A.E. , de Winkel Linda M.H. van , Peters Natascha A.J.B. , Tol Jolien , Heijns Joan B. , de Wouw Agnes J. van , Teeuwen Nathalie J.A. , Geurts Sandra M.E. , Tjan-Heijnen Vivianne C.G.
Published: July 2023

Purpose
This study determines the prognostic impact of body mass index (BMI) in patients with hormone receptor-positive/human epidermal growth factor receptor-2-negative (HR+/HER2-) advanced (i.e. metastatic) breast cancer (ABC).
Methods
All patients diagnosed with HR+/HER2- ABC who received endocrine therapy with or without a cyclin-dependent kinase (CDK) 4/6 inhibitor as first-given systemic therapy between 2007 and 2020 in the Netherlands were identified from the Southeast Netherlands Advanced Breast Cancer (SONABRE) registry (NCT03577197). Patients with a recorded BMI were categorised as underweight (<18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), or obese (≥30 kg/m2). Overall survival (OS) and progression-free survival (PFS) were compared between BMI classes using multivariable Cox regression analyses.
Results
This study included 1,456 patients, of whom 35 were underweight, 580 normal weight, 479 overweight, and 362 obese. No differences in OS were observed between normal weight patients and respectively overweight (HR=0.99; 95% CI: 0.85-1.16) and obese patients (HR=1.04; 95% CI: 0.88-1.24). However, the OS of underweight patients (HR=1.45; 95% CI: 0.97-2.15) tended to be worse than the OS of normal weight patients. When compared with normal weight patients, the PFS was similar in underweight (HR=1.05; 95% CI: 0.73-1.51), overweight (HR=0.90; 95% CI: 0.79-1.03), and obese patients (HR=0.88; 95% CI: 0.76-1.02).
Conclusion In this study among 1,456 patients with HR+/HER2- ABC, overweight and obesity were prevalent, whereas underweight was uncommon. When compared with normal weight, overweight and obesity were not associated with either OS or PFS. However, underweight seemed to be an adverse prognostic factor for OS.
Development of control systems for laser powder bed fusion
Authors: Taherkhani Katayoon , Cantzler Gerd , Eischer Christopher , Toyserkani Ehsan
Published: July 2023

This article aims to highlight the development of an intermittent controller designed to compensate and rectify the lack of fusion (LoF) zones that induce during the LPBF process. The initial step involved the utilization of the Self-Organizing Map (SOM) algorithm to identify the location of LoF defects. Subsequently, the identified defects undergo clustering through the K-means algorithm to form a matrix of cells on the build plate. The center of each cell that encompasses the defective area is then selected as the optimal position for increasing laser power during the subsequence printed layer. To identify the optimum laser power value, various artificial voids, mimicking actual defects, are embedded in the coupons. The capping layer (a layer that covers the artificial void) is then manufactured with different laser powers to heal the underlying defects. Based on the optimum laser power and defect size, several controlling rules are defined to change the laser power in-situ in the targeted cells located within the capping layer of defects. The change in laser power is transferred as a Laser Correction File (LCF) to the actuator via the Message Queuing Telemetry Transport (MQTT) broker. Finally, the performance of the controller is evaluated by designing and fabricating two new sets of experiments, including artificial and randomized defects. The results are validated by performing a micro CT scan, in which the density of defects is analyzed on parts produced with and without the controller. The results suggest that the use of the controller increased the density of the sample with randomized defects by up to 1%.
Numerical simulation for investigating the impact of shot peening process parameters via surface reconstruction
Authors: Cao Yuntai , Niu Tianhao , Gai Pengtao , Chen Yuting , Pang Jie , Xu Wujiao
Published: July 2023

Shot peening is one of the most widely used surface strengthening processes. The shot peening process involves multiple process parameters, which have a complex and interdependent impact on the peening effects, including compressive residual stress distribution and surface roughness. Accurately predicting the influence of shot peening parameters on the shot peening effect is a tough challenge in the simulation. In this paper, a shot peening simulation model is developed to investigate the influence of peening process parameters. The model encompasses material, target surface, and shot stream modeling. A method is proposed to reconstruct target surface model based on real rough surface data obtained via confocal laser scanning microscope. Unlike similar surface models, such as the Gaussian model, the reconstructed surface model replicates the peaks and valleys of the target surface along with their exact locations. A random multiple-shot model incorporating the reconstructed surface with predefined target coverage is developed via Python in Abaqus. Experimental verification on TC4 titanium alloy targets validates the simulation accuracy. The effects of peening parameters (shot velocity, density, diameter, and initial surface roughness) on residual stress distribution and surface roughness are investigated via the established model. Results reveal the significant influence of shot velocity and the relatively minor impact of other parameters. Increasing the diameter, velocity, and density of the shots result in higher residual stress levels and surface roughness. Notably, excessive initial surface roughness leads to abnormal increases in surface compressive residual stress.
Introduction of Bessel higher-order cosh-Gaussian beam and its propagation through a paraxial ABCD optical system
Authors: Nossir N. , Dalil-Essakali L. , Belafhal A.
Published: July 2023

In this paper, we introduce a new laser beam called Bessel higher-order cosh-Gaussian (BHChG) beam and analyzed its propagation properties through a paraxial ABCD optical system. The analytical expression of the diffracted beam is derived based on the extended Huygens-Fresnel integral and some numerical examples of BHChG beam propagating in a free space, through a thin lens and a Fractional Fourier transform (FRFT) system are exposed. The results reveal that the behavior of the output BHChG beam is affected by the optical system and the source beam parameters. The propagation of some laser beams through a paraxial ABCD optical system is deduced as particular case from the present study such as the fundamental Gaussian beam, the Bessel-Gaussian beam, the cosh-Gaussian beam, the Bessel-cosh-Gaussian beam and the Higher-order-cosh-Gaussian beam. The outcomes can be helpful for free-space optical communication, remote sensing and optical micromanipulation.
Spectroscopic Analysis of Steroids
Authors: Siddiqui Tabassum , Khan Asna , Iqbal Arfeen
Published: July 2023

All the steroids are basically made of seventeen carbon atom skeletons
bonded in four fused rings: three six-membered cyclohexane rings and one five.membered cyclopentane ring, they vary from each other by having different functional
groups. Recent modifications have added heteroatoms like nitrogen, oxygen, sulphur,
selenium, etc in the basic structure of naturally occurring steroids. Heterocyclic steroids
have always been a field of interest for researchers due to their diverse biological
performances. The biological activity of steroids and heterocyclic steroids is based on
the structure they possess. Spectroscopy plays a key role in the determination of
distinct properties of numerous compounds by their interaction with electromagnetic
radiation and the sort of interactions that may occur in different regions. The structure
of different steroids and heterocyclic steroids may be established through various
spectroscopic techniques viz. Infrared spectroscopy (IR), Nuclear Magnetic
Spectroscopy (NMR), Ultraviolet spectroscopy (UV) and mass spectrometry (MS).
A Digital Music-Based Mindfulness Intervention for Black Americans With Elevated Race-Based Anxiety: A Multiple-Baseline Pilot Study
Authors: Jones Grant , Herrmann Felipe , Nock Matthew K
Published: July 2023

Background

Race-based anxiety is a substantial health issue for the Black community. Although mindfulness interventions have demonstrated efficacy for alleviating anxiety, three central barriers prevent Black Americans from accessing existing mindfulness treatments: high costs, excessive time commitments, and limited cultural relevance. There is a need for novel mindfulness interventions for the Black community that can overcome these barriers.

Objective

The goal of this web-based study was to examine the preliminary efficacy, feasibility, and acceptability of a novel digital music-based mindfulness intervention for middle-to-low-income Black Americans with elevated race-based anxiety.

Methods

This study used a nonconcurrent multiple-baseline design (n=5). The intervention featured contributions from Lama Rod Owens (a world-renowned meditation teacher and LA Times best-selling author) and Terry Edmonds (the former chief speechwriter for President Bill Clinton). We examined the effect of the intervention on state anxiety and assessed its feasibility and acceptability using quantitative and qualitative measures.

Results

Results revealed that administration of the intervention led to significant decreases in state anxiety (Tau-U range –0.75 to –0.38; P values<.001). Virtually all feasibility and acceptability metrics were high (ie, the average likelihood of recommending the intervention was 98 out of 100).

Conclusions

This study offers preliminary evidence that a digital music-based mindfulness intervention can decrease race-based anxiety in Black Americans. Future research is needed to replicate these results, test whether the intervention can elicit lasting changes in anxiety, assess mechanisms of change, and explore the efficacy of the intervention in real-world contexts.
Formulation and Evaluation of Micro Beads of Clonidine for the Treatment of Anxiety and Hypertensive Disorder
Authors: Dwivedi Asmita , Mansoori Napeesha , Dubey Mahima , Namdeo Anjali
Published: July 2023

A chronic medical condition known as hypertension (HT) is characterised by persistently high blood pressure (BP) in the arteries. Although HT is initially asymptomatic, it eventually develops into a significant risk factor for renal, cardiovascular, and cerebrovascular conditions, which in turn are major contributors to morbidity and mortality in industrialised nations. A complicated disorder called HT is thought to affect more than one-fourth of adult humans worldwide. Both its pathophysiology (primary and secondary HT) and the measurements of the resting blood pressure (elevated systolic, diastolic, and pulse pressure) are used to categories it. It results from a complex interplay between genes and a number of environmental risk factors, including as ageing, smoking, inactivity, being overweight or obese, eating too much salt, stress, depression, and anxiety. Millions of people are affected by anxiety and depressive disorders each year, which are the most often diagnosed mental illnesses. These conditions are both characterised by emotional, cognitive, psychomotor, and neurovegetative symptoms. Additionally, stress at work has been identified as a significant risk factor for heart disease (CVD) and HT. Despite the fact that numerous writers have looked into and proposed connections between HT, stress, anxiety, and depression over the past few decades, a complete knowledge of the underlying pathophysiological mechanisms has not yet been attained, particularly with regards to young people. The purpose of this study was to examine the role that stress and anxiety from the workplace play in the HT development of young students of health care professions as well as any potential links to early CVDs.

Keywords: Blood pressure, Anxiety, Work-related stress, Students, Health care professions, Health promotion, Workplace, Occupational medicine
DRPO: A Deep Learning Technique for Drug Response Prediction in Oncology Cell Lines
Authors: Shahzad Muhammad , Kadani Adila Zain Ul Abedin , Jiang Richard , Tahir Muhammad Atif , Malick Rauf Ahmed Shams
Published: July 2023

With the invention of high-throughput screening technolo- gies,
innumerable drug sensitivity data for thousands of can- cer cell lines
and hundreds of compounds have been pro- duced. Computational analysis
of these data has opened a new horizon in the development of novel
anti-cancer drugs. Previous deep-learning approaches to predict drug
sensitiv- ity showed drawbacks due to the casual integration of ge-
nomic features of cell lines and compound chemical features. This paper
proposes a new deep learning model, DRPO, for efficient
integration of genomic and compound features in predicting the half
maximal inhibitory concentrations (IC50). First, matrix factorization is
used to map the drug and cell line into latent ’pharmacogenomic’ space
with cell line-specific predicted drug responses. Using these drug
responses, we next obtained the essential drugs using a Normalized Dis-
counted Cumulative Gain (NDCG) score. Finally, the essen- tial drugs and
genomic features are integrated to predict drug sensitivity using a deep
model. Experimental results based on RMSE and NDCG scores on CCLE &
GDSC1 datasets show that our proposed approach has outperformed the
previous approaches, including DeepDSC, CaDRRes, and KMBF. With these
good results, it shows great potential to use our new model to discover
novel anti-cancer drugs for precision medicine.
An Empirical Analysis of the wildfire ignitions in Australia using machine learning techniques
Authors: Tania David , Priyadarshini Ishaani , Sahu Sandipan , Kumar Raghvendra , Lyu Shiyang
Published: July 2023

Over the last few decades, there has been an increase in the probability
of occurrence of wildfires. Also known as bushfires, the catastrophe can
be attributed to climate changes and extreme weather conditions.
Australia’s dry and warm climate makes it prone to wildfires, which
risks the ecosystem and decreases the forest area. Hence it is necessary
to reduce bushfire risk by monitoring their intensity. The availability
of remotely sensed data enables us to analyse wildfires, explore and
discover patterns, and help provide real-time warnings. This paper
examines the forest fire data from 2018-2020, considering parameters
like Brightness (Prediction) and Fire Radiative Power (Classification).
The analysis is conducted using several machine learning algorithms like
Random Forest (RF), Decision Trees (DT), K-Nearest Neighbors (kNN),
eXtreme Gradient Boosting (xGB), Artificial Neural Networks (ANN),
Convolution Neural Networks (CNN), etc. The prediction models are
evaluated using Mean squared error (MSE), Root Mean Square Error (RMSE),
R squared (R2), and Mean Absolute Error (MAE). In contrast, the
classification models are evaluated using accuracy, precision, recall,
and F-1 score. Our study shows that the RF model is the best prediction
model, and the ANN model is the best classification model compared to
the baseline models.
Popyt na kwiaty na przykładzie warszawskich kwiaciarni
Authors: Olewnicki Dawid , Jabłońska Lilianna , Papakul Joanna , Rydzewska Karolina
Published: July 2023

Celem pracy było ukazanie zmian w popycie na kwiaty cięte i rośliny doniczkowe w opinii właścicieli lub pracowników warszawskich kwiaciarni. Przeanalizowano poziom popytu na te produkty, a także określono jak w ciągu ostatnich 5 lat zmieniło się zapotrzebowanie na nie. Zbadano także, czy istnieje zbieżność korelacyjna pomiędzy wielkością kwiaciarni oraz okresem ich funkcjonowania, a odczuciami właścicieli i pracowników tych punktów co do poziomu istniejącego popytu. Z przeprowadzonych analiz wynika, że w znacznej części kwiaciarni zaobserwowano spadek popytu na kwiaty w ciągu ostatnich 5 lat, który szczególnie dotyczy roślin doniczkowych ozdobnych z liści. Spadek popytu odczuwały zarówno kwiaciarnie małe jak i duże, chociaż te drugie w mniejszym stopniu. Biorąc natomiast pod uwagę okres prowadzenia kwiaciarni, obiekty młodsze odczuwały większy popyt na kwiaty niż te stosunkowo dłużej działające.
Agora abbauen. Theater als metökische Konstellation
Authors: Stenzel Julia
Published: July 2023

Der Beitrag unternimmt eine dekonstruktive Lektüre von ‚Agora‘ als eines Grundbegriffs politischer Theorie und politischen Theaters. Statt als exklusiver Raum politischer Repräsentation wird ‚Agora‘ so als Sammelplatz beschreibbar, an dem Weisen und Akteur*innen des Zusammenlebens immer wieder neu in Frage stehen. In der Relektüre von ‚Agora‘ wird ausgehend von einer ‚environmental performance‘ der iranischen Theatermacherin Azadeh Ganjeh, Unpermitted Whispers, ein Konzept der metökischen Konstellation als einer theatralen Strategie zur Pluralisierung der Agora entwickelt. Es folgt eine Untersuchung des in Essen-Stoppenberg situierten Solorollenspiels Achtmal Blinzeln (Anna Kpok), die die Räume des Spiels mit einem Modell von Agora als Ort des Handels, des Handelns und des Aushandelns von Szenologien des Erscheinens, des Sprechens und der Repräsentation konfrontiert. Der Ansatz tritt entsprechend in Dialog mit Theater und Performance, die über Erscheinungsräume nachdenken; über deren Diskursethiken, institutionelle Ästhetiken und ihre materialen Verortungen in der Stadt; mithin auch über (Un)Möglichkeiten von Demokratie.
Analysis of Reasons for Filing Underage Marriage Dispensation Post Amendment to The Marriage Law Number 01 of 1974 by Law Number 16 of 2019
Authors: Ihsan Ihsan , Malarangan Hilal , Nasaruddin Nasaruddin
Published: July 2023

The regulation change to the dispensation of marriage following the difference in the limiting age of marriage in Law Number 16 of 2019 is due to concerns over the increasing cases of underage marriages. This study aims to describe the procedures and considerations of judges regarding the reasons for filing a marriage dispensation case at the Tolitoli Religious Court and explain the relevance of maqasid sharia and sociological jurisprudence to the reasons for filing a marriage dispensation at the Tolitoli Religious Court. The research method used is qualitative research with a case study approach as an instrument in the research design and data collection through field research. The results of this research explain that legal considerations and considerations of community justice became the reason for the Tolitoli Religious Court judges when explaining the procedure and the reasons for filing a marriage dispensation case at the Tolitoli Religious Court and realizing protection for children both in terms of benefit and instruments of social change and reducing the prevalence of child marriage in Tolitoli Regency as a form of relevance between maqashid sharia and sociological jurisprudence towards marriage dispensation. The judge's consideration in granting the request for a marriage dispensation, either reviewed through maqashid shariah or sociological jurisprudence, needs to be studied more deeply so that the results of the decision from the application can help to realize a household life that is sakinah, mawaddah, and rahmah because marriage is not only for oneself but also for other people called family.
TO THE QUESTION OF THE METHODS FOR CONTROL OF NON-RECTANGULARITY OF PAPER SHEET
Authors: Трапезникова О.В. , Серкова Л.Б. , Варепо Л.Г.
Published: July 2023

Обеспечение качества выпускаемой продукции, которое определяется точностью результатов контроля, является основной задачей любого производства. Качество печатных изделий напрямую зависит от характеристик запечатываемого материала, в числе которых приоритетное место занимает косина листа запечатываемого материала. Отмечается ее влияние как на процесс прохождения запечатываемого листа в печатных секциях машины, так и на качестве готового изделия. В работе проведен анализ действующих методов определения косины листа. Предложен новый метод, позволяющий повысить точность и объективность контроля данной характеристики.

Ensuring the quality of products, which is determined by the accuracy of control results, is the primary task of any production. The quality of printed products directly depends on the characteristics of the printed material. Priority among these characteristics is given to the non-rectangularity of sheet of the printed material. It affects both the process of passage of the printed sheet in the printing sections of the machine and the quality of the finished product. The paper analyzes the effective methods of determining the non-rectangularity of a paper sheet. A new method is offered which allows increasing accuracy and objectivity of control of this characteristic.
Searching for heritability in prebiotically realistic membrane-bound systems
Authors: Sokolskyi Tymofii , Ganju Pavani , Montgomery-Taylor Ronan , Baum David
Published: July 2023

Membrane-bound compartments are ubiquitous in modern organisms meaning that they evolved early in Earth history. Vesicles composed of short-chain amphiphile molecules are some of the simplest prebiotically-plausible compartments and are capable of growth and division. Here we investigate the capacity of vesicle properties to transition between multiple metastable states in a historically contingent manner, thus implying heritability. We prepared 1:1 decanoic acid : decylamine vesicles in water or a mixture of organic compounds as might have been present on early Earth (EPS: enriched prebiotic soup). In some samples we added a detergent Triton X-100, which tends to increase vesicle size heterogeneity and promote vesicle remodeling. All four vesicle-containing mixtures were subjected to transfer-with-dilution: after a 24-hour incubation (one generation) we transferred 10% of the mix into 9X volume of a fresh, vesicle-containing mixtures. Sample with a history of transfer were compared to no-transfer controls (NTCs), which were initiated each generation using the same fresh vesicle-containing mixture but did not receive 10% of the prior generation. We compared transfer samples to NTCs for Nile Red fluorescence, vesicle size, and overall chemical composition, as measured by liquid chromatography/mass spectrometry (LC/MS). In samples with Triton, but not those without, we observe oscillation-like changes in Nile Red fluorescence, with significant temporal autocorrelation. In all samples, we observe non-linear changes in vesicle size over the course of 30 generations. Overall chemical composition did not change significantly due to transfers. These findings, while not definitive, suggest the possible presence of heritability in vesicles composed of short-chain amphiphiles.
Physics Learning Using Brainly Platform During Pandemic in Mataram City
Authors: Al-Qoyyim Thufail Mujaddid , Rahmatin Johana Aulina , Respasari Barinta Nur , Hijrotussulusi Hijrotussulusi , Zuhdi Muhammad , Doyan Aris
Published: July 2023

The COVID-19 pandemic has had an impact on the implementation of education, including learning physics. All learning processes must be carried out online to stop the spread of the virus. Online physics learning is physics learning that is carried out in a network by utilizing technological advances in the form of the internet to achieve learning objectives. There are various means of supporting online learning. Technological advances are so rapid, making it easier for students to get learning resources that are relevant to curriculum needs. One of the most popular online learning resources is Brainly. Brainly is quite popular among students and teachers and is often used to support learning, especially online learning of physics. The purpose of this study was to find out how the use and impact of Brainly in learning physics. The method used in this research is descriptive qualitative with a questionnaire instrument distributed to high school students in Mataram City through WhatsApp Groups. It was found that the use of Brainly in physics learning is quite often used and has a positive impact on student learning outcomes
Universal Event Detection in Time Series
Authors: Azib Menouar , Renard Benjamin , Garnier Philippe , Génot Vincent , André Nicolas
Published: July 2023

Event detection in time series data is a crucial task spanning various domains, and extensive research has explored methods to achieve this goal. These methods range from traditional threshold-based techniques to more advanced deep learning approaches. However, a comprehensive survey of existing methods reveals that each approach has its limitations, often lacking mathematical validation and exhibiting limited robustness. To address these limitations, this paper introduces a novel framework rooted in universal approximation theory, a well-established and proven methodology. This framework showcases the capability to accurately detect a broad spectrum of events in multivariate time series data with the desired precision. To bolster robustness, the proposed framework employs a stacked ensemble learning meta-model, effectively mitigating individual model weaknesses and biases, thereby yielding more resilient predictions. Moreover, this paper provides a user-friendly quick-start guide for implementing the framework, demonstrated using two diverse datasets: one from the field of planetary science and another from financial security. The results underscore the effectiveness of the proposed framework in achieving high accuracy and precision when detecting events in both datasets. In summary, this paper presents a novel and robust framework for event detection in time series data, founded on universal approximation theory and bolstered by ensemble learning.
Text Classification Based on Neural Network Fusion
Authors: Kim Deageon
Published: July 2023

The goal of text classification is to identify the category to which the text belongs. Text categorization is widely used in email detection, sentiment analysis, topic marking and other fields. However, good text representation is the point to improve the capability of NLP tasks. Traditional text representation adopts bag-of-words model or vector space model, which loses the context information of the text and faces the problems of high latitude and high sparsity,. In recent years, with the increase of data and the improvement of computing performance, the use of deep learning technology to represent and classify texts has attracted great attention. Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and RNN with attention mechanism are used to represent the text, and then to classify the text and other NLP tasks, all of which have better performance than the traditional methods. In this paper, we design two sentence-level models based on the deep network and the details are as follows: (1) Text representation and classification model based on bidirectional RNN and CNN (BRCNN). BRCNN’s input is the word vector corresponding to each word in the sentence; after using RNN to extract word order information in sentences, CNN is used to extract higher-level features of sentences. After convolution, the maximum pool operation is used to obtain sentence vectors. At last, softmax classifier is used for classification. RNN can capture the word order information in sentences, while CNN can extract useful features. Experiments on eight text classification tasks show that BRCNN model can get better text feature representation, and the classification accuracy rate is equal to or higher than that of the prior art. (2) Attention mechanism and CNN (ACNN) model uses the RNN with attention mechanism to obtain the context vector; Then CNN is used to extract more advanced feature information. The maximum pool operation is adopted to obtain a sentence vector; At last, the softmax classifier is used to classify the text. Experiments on eight text classification benchmark data sets show that ACNN improves the stability of model convergence, and can converge to an optimal or local optimal solution better than BRCNN.
Pengaruh Penerapan SAP, Pemanfaatan SIA Keuangan Daerah, Peran Internal Audit, dan SPI Pemerintah terhadap Kualitas Laporan Keuangan
Authors: Sari Imelda , Malawat Nurlita , Lapae Kanaya , Budiman Andika Nuraga
Published: July 2023

Penelitian ini bertujuan untuk menguji pengaruh penerapan Standar Akuntansi Pemerintah, pemanfaatan Sistem Informasi Akuntansi Keuangan Daerah, peran Internal Audit, dan Sistem Pengendalian Intern Pemerintah Terhadap Kualitas Laporan Keuangan. Penelitian ini menggunakan sampel Kelurahan pada Kecamatan Cilincing dan terdaftar dalam Sekretariat Kota Administrasi Kota Jakarta Utara. Jenis penelitian ini adalah kuantitatif. Penelitian ini menggunakan data primer yaitu dengan teknik kuesioner. Metode analisis yang digunakan adalah analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa penerapan standar akuntansi pemerintah dan pemanfaatan sistem informasi akuntansi keuangan daerah berpengaruh terhadap kualitas laporan keuangan. Sedangkan peran internal audit dan sistem pengendalian intern pemerintah tidak berpengaruh terhadap kualitas laporan keuangan. Implikasi penelitian ini agar variabel dalam penelitian ini dapat menjadi bahan pertimbangan bagi para penyusun laporan keuangan dalam meningkatkan kualitas laporan yang dihasilkan serta dapat membantu bagi para penyusun laporan keuangan menerapkan SAP dan SPI yang memadai.
Anticipation, Discovery and Serendipity in Quaternary Paleoecology: Personal Experiences from the Iberian Pyrenees
Authors: Rull Valentí
Published: July 2023

This essay is a personal insight based on my own experience in the Iberian Pyrenees, which addresses three situations common in paleoecological research, such as the verification of previously devised hypotheses (anticipation), the finding on unknown events in unstudied sites (discovery) and the finding of unexpected outputs in already known areas (serendipity). The account is concentrated on the value of the coring sites by themselves as generators of paleoecological knowledge, rather than on the actual findings, which are presented and discussed in the corresponding data papers. The main aim is to show that there is still much room for new findings, even in areas that have been surveyed for a long time and are supposed to be well known, from a paleoecological perspective. Finally, some general lessons are derived and conceptualized.
Saha Türkçesinde Tağıs- “Çıkmak” Fiili ile Kurulan Deyimler Üzerine Biçimsel ve Anlamsal Bir Değerlendirme
Authors: ÇOLAK Doğan
Published: July 2023

Saha Türkçesinde, deyim terimini karşılamak üzere somoğo domox kullanılmaktadır. Saha Türkçesindeki deyimler üzerine Saha bilginlerinin önemli çalışmaları yer almaktadır. İlk çalışma A. Y. Kulakovskiy’in Yakutskie Poslovitsı i Pogovorki “Yakut Atasözleri ve Deyimleri” isimli eseridir. Daha sonraki yıllarda kaleme alınan P. S. Grigoryev’in Saxa Tılın Somoğo Domoğun Tılcıta “Saha Dilinin Deyim Sözlüğü” ve A. G. Nelunov’un Somoğo Domox Saxalıı-Nuuççalıı Tılcıta “Sahaca-Rusça Deyim Sözlüğü” isimli çalışmaları Saha Türkçesindeki deyim söz varlığı ile ilgili en önemli eserlerdir. Ancak Saha deyimleriyle ilgili çalışmalar bunlarla sınırlı değildir. Deyimler üzerine çeşitli araştırmalar olmakla birlikte E. K. Pekarskiy’in Yakut Dili Sözlüğü ile Saha Tılın Bıhaarıılaax Ulaxan Tılcıta (STBUT) “Saha Dilinin Açıklamalı Büyük Sözlüğü” isimli eserlerde de deyim söz varlığına dair ciddi veriler söz konusudur. Bu çalışmada Saha Türkçesine ait tağıs- “çıkmak” fiili ile kurulmuş deyimler ele alınacaktır. İncelenen deyimler Grigoryev (1974) ve Nelunov (2002)’a ait deyim sözlükleri taranarak belirlenmiştir. Tespit edilen deyimler biçimsel ve anlamsal incelemeye tabi tutulmuştur. Biçimsel olarak deyimler, öncelikle tağıs- fiilinin birleştiği unsur sayılarına göre ikiye ayrılmıştır. Bunlar da kendi içinde kelime türlerine göre alt başlıklara ayrılıp birleşim yollarına göre sınıflandırılmıştır. Anlamsal olarak deyimler, sözcük anlamına ve deyimlerin konularına göre olmak üzere iki ana başlık altında sınıflandırılmaya tabi tutulmuştur. Sonuç kısmında, incelemeye ait sayısal veriler üzerinden bulgular değerlendirilmiştir.
Manutenção centrada em confiabilidade aplicada a um sistema de ROV
Authors: Pereira Paulo Apicelo de Souza , Amaral Mateus Carvalho , Bella Ricardo Luiz Fernandes , Ribeiro Lucas Cardoso Ambrósio
Published: July 2023

O ROV – Remotely Operated Vehicle é um dos equipamentos submarinos mais utilizados na indústria de óleo e gás mundial, é para manter uma boa eficiência operacional é necessário um plano de manutenção conciso e eficiente. Dentre as manutenções aplicadas ao robô submarino estão a manutenção corretiva, preventiva e preditiva. Portanto, o objetivo geral deste trabalho é analisar as principais falhas operacionais apresentadas pelo veículo e propor a aplicação da MCC - Manutenção Centrada em Confiabilidade, para indicar as falhas críticas e otimizar a manutenção realizada no equipamento, reduzindo custos, mão de obra e aumentando a disponibilidade do mesmo. Para isso, realizou-se um levantamento bibliográfico sobre o assunto e análise documental para identificar os dados técnicos. Foi aplicada a ferramenta do Diagrama de Pareto para priorizar as falhas recorrentes, após isso, foram levantadas as causas raíz, com a aplicação da Análise de Efeitos e Modos de Falha e a Árvore de falhas e, por fim, realizado um estudo de confiabilidade dos equipamentos utilizados no veículo. Com os resultados analisados, foi proposta a utilização da MCC pela empresa no seu plano de manutenção.
A gestão da qualidade na construção civil utilizando a ferramenta MASP
Authors: Valkiria Diniz dos Santos  , Da Silva Eider de Jesus Avelar
Published: July 2023

A gestão da qualidade da engenharia civil é uma área que visa padronizar os processos e serviços prestados. Garantir a qualidade do trabalho e a lucratividade da empresa está relacionado à produtividade da empresa, à segurança dos funcionários que executam os serviços, ao uso saudável dos recursos e ao controle de qualidade. Este estudo tem como objetivo mostrar uma visão geral sobre o processo de utilização da ferramenta MASP - Metodologia de Análise e Resolução de Problemas na gestação de qualidade na construção civil.As empresas sofrem perdas irreparáveis diariamente por falta de um processo de qualidade continua, que venha minimizar essas perdas. O MASP é uma ferramenta essencial na gestão de qualidade e sendo aplicada maximizará a produção alcançando assim níveis elevados de excelência. Utilizamos revisão bibliográfica, para o desenvolvimento desse estudo e esperamos contribuir com o conhecimento sobre essa ferramenta que gera resultados concretos e pode servir como estratégia eficaz para obter vantagens competitivas nas empresas que o adotam.
Segurança pública e direitos humanos
Authors: Da Rosa Sinomar Alves
Published: July 2023

No que se refere à formação dos direitos humanos sob a atuação das forças da segurança pública, a presente produção textual irá explanar quais são as garantias que suportam e compreendem a Dignidade da pessoa humana e seus princípios básicos ligados à Segurança Pública dos indivíduos, segurança essa disposta na Constituição federativa de 1988 e mantida até os atuais dias. Os profissionais da área da Segurança Pública são os agentes da Polícia Militar, os da Polícia Civil e os Bombeiros e que atuam representando o Estado em Ações Formativas de Segurança Pública e planejadas de acordo com a base na Matriz, tendo como principal objetivo favorecer a compreensão do exercício da atividade policial dentro das normas estabelecidas, principalmente quanto ao que se refere à efetivação dos Direitos Humanos e à Dignidade da Pessoa Humana.
Frequência de não conformidades no Procedimento Padrão de Higiene Operacional (PPHO) e Procedimento Sanitário Operacional (PSO) na sala de abate de um frigorífico de ruminantes
Authors: Papaet Amanda Romeiro , Toledo Roberta dos Santos
Published: July 2023

O Procedimento Padrão de Higiene Operacional (PPHO) e o Procedimento Sanitário Operacional (PSO) são programas de autocontrole que compõem as boas práticas de fabricação. Durante o monitoramento destes programas, as não conformidades identificadas nos setores de abate devem ser corrigidas para evitar a contaminação da carne. Frente à importância destes programas de autocontrole, esta pesquisa teve como objetivo verificar a frequência de não conformidades registradas no PPHO e PSO em um frigorífico na região centro ocidental do Paraná. Foram levantados e tabulados os registros do monitoramento diário em três meses consecutivos. No PPHO, os setores com maior e menor número de não conformidades foram, respectivamente, esfola (14%) e Departamento de Inspeção Final (2%). No PSO, os setores com maior e menor número de não conformidades foram oclusão do reto (28%) e lavagem da carcaça (1%), respectivamente. No entanto, após treinamento da equipe, houve brusca diminuição das não conformidades identificadas nos diferentes setores, demonstrando a importância de treinamentos constantes e ações corretivas para garantir correta execução dos programas de autocontrole e segurança do alimento.
Evaluation of the applicability of Gail's method in patients undergoing breast biopsy at a brazilian hospital
Authors: Costa Nathália Arndt , Bissoli Mariana de Souza , Pegoraro Naiara Bozza , De Sousa Arthur Rodrigues Caetano , Dombroski Viviane , Romualdo Ariadna Lorrane , Pachnicki Jan Pawel Andrade
Published: July 2023

OBJECTIVES: To verify the accuracy of the Gail Model (GM) in risk assessment in patients with suspected breast cancer and to determine the need to adapt the GM or develop a new model for accurate risk assessment of these patients. METHODS: This is a descriptive, cross-sectional and retrospective study, based on the analysis of data provided by the medical records of 200 patients treated between 2017 and 2021, from the Mastology Outpatient Clinic of the Hospital Universitário Evangélico Mackenzie (HUEM). RESULTS: 155 women were diagnosed with breast cancer and 45 were not. The mean age was 54.23 years and the mean age at menarche was 13 years. Also, only 13 medical records contained information on age at birth of the 1st child or absence of children, and the mean age obtained was 26.77 years. Ethnic prevalence was white and most patients had no first-degree relatives with breast cancer. Regarding previous breast biopsies, most had already performed at least one, but few received a result of atypical hyperplasia. Furthermore, most of the study patients diagnosed with breast cancer had no positive family history of the disease. CONCLUSION: The study shows that the GM isn't reliable in assuming the risk of the studied population to develop breast CA, since, when comparing the GM data between groups that had and didn't have the disease, there was no significant difference.
A tecnologia na gestão de dados das operações aéreas na Polícia Militar do Paraná: uma análise da ferramenta FollowAir Police
Authors: De Souza Marcio Valim
Published: July 2023

Este artigo tem por objetivo analisar a tecnologia como forma de evolução na gestão de dados das operações aéreas da Polícia Militar do Paraná, por meio do estudo do software FollowAir Police. A pesquisa pretende entender o atual contexto de gestão de dados das operações aéreas, por meio da atuação do Batalhão de Polícia Militar do Paraná, buscando entender suas principais características e fragilidades. Por fim, conclui-se que no cenário atual percebido na gestão de dados da instituição, no que tange às operações aéreas, a pouca automação tecnológica percebida associada à falibilidade humana no tratamento de dados pode prejudicar a eficiência e a qualidade nessa gestão de dados, entendendo que o software FollowAir Police é uma alternativa mitigadora capaz de contribuir na otimização desse cenário. Para o desenvolvimento do presente artigo, foi realizada pesquisa bibliográfica e revisão de literatura atinente ao tema, bem como, investigou-se junto à Polícia Militar do Paraná acerca de informações institucionais que pudessem subsidiar este estudo.
Avaliação da atividade antimicrobiana do extrato de Piper vicosanum
Authors: Fitz Gustavo Augusto Mota , Da Cruz Juliano Vitorino , Kassuya Candida Aparecida Leite , Vilela Lazaro Felipe Costa , Vilela Thales Fernando Costa , Macorini Luiz Fernando Benitez
Published: July 2023

A procura por tratamentos alternativos ou adjuvantes ao farmacológico vem crescendo consideravelmente, e o uso de plantas medicinais se torna cada vez mais frequente. Analisar os efeitos de plantas medicinais como a Piper vicosanum com possível ação antimicrobiana é importante pois pode ser o início de grandes descobertas em uma nova perspectiva terapêutica para as infecções.
Métodos de extração de metabólitos secundários da planta jovem de capim limão (Cymbopogon citratus) para identificação por cromatografia líquida de alta eficiência.
Authors: Correia Dirce Consuelo Coronato , De Assunção Cleverton Timóteo , Damião Victor Hugo Borsuk , Martins Andréia Paula Carneiro , Coelho Érica Marusa Pergo
Published: July 2023

Compreende-se os metabólitos secundários como compostos naturais produzidos principalmente em plantas com potencial nutricional e farmacológico, onde, apresentam uma ampla gama de estruturas e funções, encontrados também em plantas jovens, onde existem poucos estudos. A Cymbopogon citratus popularmente conhecida como capim limão apresentada neste estudo é uma planta aromática da família Gramineae e contém um grupo considerável de flavonóides, óleos essenciais, compostos fenólicos e outros constituintes fitoquímicos que possuem atividades farmacológicas. Assim, o presente trabalho teve como objetivo comparar métodos diferentes de extração para a detecção de metabólitos secundários por cromatografia líquida de alta eficiência da planta jovem de capim-limão. As plântulas foram adquiridas pela empresa Tonial Mudas. Em laboratório, estas foram trituradas manualmente e levadas para o ultra freezer temperatura de -34°C, onde foram armazenadas. Após alguns dias foram liofilizadas e permaneceram no ultra freezer. Após as amostras foram separadas em partes para extração por maceração, infusão e ultrassom em água ultrapura e etanol. Da alíquota retirada do extrato, resultou que o método de extração aquoso, mostrou-se mais eficiente em quantidade de picos no cromatograma, principalmente para o método de infusão e maceração. Contudo, apesar do método de ultrassom não ter apresentado o maior número de picos na extração com água, este apresentou picos com intensidades altas no comprimento de onda de 254 nm (200 mAU), mostrando-se este método muito eficaz na extração de metabólitos secundários na plântula de capim limão.
New Boraginales from Tropical America 11: A New Species of Cordia (Boraginales: Cordiaceae) from Colombia and Venezuela
Authors: Miller James S.
Published: July 2023

A new species of Cordia L. (Boraginales: Cordiaceae) is described from Amazonian Venezuela and Colombia. Cordia carnevalii J. S. Mill. is distinct in its lanceolate to elliptic-lanceolate leaves borne on short petioles, and axillary inflorescences. It is vegetatively distinct from other species of Cordia in Colombia and Venezuela, and no other species in the genus has leaves that are similar. The species occurs in a poorly known region of Amazonian Colombia and Venezuela, and is presently known from only three collections made in a very restricted area, so the species is clearly of conservation concern and is therefore provisionally considered Critically Endangered (CR) by IUCN Red List standards.