bluuebunny/crossref_metadata_2025 huggingface dataset:
The prevalence and severity of misophonia in the Turkish population and validation of the Amsterdam Misophonia Scale-Revised
Authors: Cakiroglu Suleyman , Cosgun Sefa , Gormez Vahdet
Published: June 2022

The Amsterdam Misophonia Scale-Revised (AMISOS-R) is a self-report scale that measures the presence and severity of symptoms experienced in response to specific auditory stimuli. This cross-sectional, descriptive study aims to evaluate psychometric properties of the AMISOS-R in the Turkish language and to examine psychosocial factors associated with misophonia. A total of 374 individuals (female/male: 154/220) between 15 and 45 years of age were included in the study. Confirmatory factor analysis showed that the fit indices were at a good level, and they supported the single-factor structure. Test-retest results and Cronbach's alpha coefficient showed that the scale had high reliability. Misophonia scores were also found to be moderately correlated with obsessive-compulsive disorder and neuroticism. The AMISOS-R was found to be a valid and reliable tool to evaluate misophonia in the Turkish language.
Effects of Emotional Expression on Face Recognition May Be Accounted for by Image Similarity
Authors: Collin Charles A. , Chamberland Justin , LeBlanc Megan , Ranger Anna , Boutet Isabelle
Published: June 2022

We examined the degree to which differences in face recognition rates across emotional expression conditions varied concomitantly with differences in mean objective image similarity. Effects of emotional expression on face recognition performance were measured via an old/new recognition paradigm in which stimuli at both learning and testing had happy, neutral, and angry expressions. Results showed an advantage for faces learned with neutral expressions, as well as for angry faces at testing. Performance data was compared to three quantitative image-similarity indices. Findings showed that mean human performance was strongly correlated with mean image similarity, suggesting that the former may be at least partly explained by the latter. Our findings sound a cautionary note regarding the necessity of considering low-level stimulus properties as explanations for findings that otherwise may be prematurely attributed to higher order phenomena such as attention or emotional arousal.
Otvorenost gospodarstva Hrvatske u kontekstu monetarne i fiskalne politike
Authors: Samodol Ante
Published: June 2022

Ovim radom ispituje se utjecaj odabranih monetarnih i fiskalnih varijabli na trgovinsku otvorenost gospodarstva Hrvatske. Otvorenost gospodarstva u teoriji se smatra jednim od faktora gospodarskog rasta. S obzirom na to da su monetarna i fiskalna politika ključne sastavnice ekonomske politike, u radu se istražuje utjecaj monetarnih i fiskalnih varijabli na razinu otvorenosti gospodarstva. Monetarne varijable uključuju novčanu masu, tečaj i inflaciju, dok fiskalne varijable uključuju udio proračunskih prihoda i rashoda u BDP-u te kamate na trezorske zapise ministarstva financija. Trgovinska otvorenost kao endogena varijabla definirana je udjelom zbroja izvoza i uvoza u BDP-u kao ukupna otvorenost, te udjela izvoza i uvoza pojedinačno u BDP-u kao izvozna i uvozna otvorenost. U tri modela višestruke linearne regresijske analize pokazalo se kako u određivanju smjera i veličine otvorenosti dominiraju signifikantne fiskalne varijable za razliku od monetarnih. Jedna monetarna varijabla signifikantna je samo u slučaju uvozne otvorenosti. U radu je kao sekundarni cilj provedena i analiza utjecaja trgovinske otvorenosti na gospodarski rast preko BDP-a per capita koja se pokazala nesignifikantnom za gospodarski rast Hrvatske.
Economic Implications of Technological and Energy Advancement on CO2 Emission Intensity in Selected Countries
Authors: Tomić Daniel , Đorđević Tina , Grdić Matea
Published: June 2022

In the pursuit of economic prosperity, many countries have "sacrificed" the quality of their environment to achieve higher rates of economic growth. By focusing on established industrial practices that have destroyed the environment in the long run, they have harmed their own, as well as the global ecosystem. Within this context, the main challenge for a long-term sustainable economic policy is the intertwined focus on two goals - economic growth and environmental protection. The aim of this paper is to analyse the impact of the development of environmentally related technologies, renewable energy supplies, and the total primary energy supply on the intensity of CO2 emissions based on the production within five countries in the period from 1990 to 2019. The observed countries are Italy, Germany, Croatia, Brazil, and Finland. To evaluate the relationship between the observed variables a panel analysis was used, more specifically random effect models (REM) and fixed effect models (FEM). Empirical results show that the development of environmental technologies and the supply of renewable energy have a negative impact on CO2 emissions, while the total supply of primary energy has a positive impact on CO2 emissions. The results of the research suggest that environment-related technologies and renewable energy promote the issue of environmental protection, while the overall supply of primary energy actually limits the perspective of green development.
Gorham–Stout disease with life-threatening pleural effusion treated with a pleuro-peritoneal shunt: a case report
Authors: Toivonen Leevi A , Neva Marko H , Sioris Thanos , Isomäki Pia , Metso Saara
Published: June 2022

Gorham–Stout disease (GSD) is a rare bone disease characterized by massive osteolysis and lymphatic proliferation. The origin of the condition is unknown, and no established treatment protocol exists. Massive pleural effusion is a frequent complication of GSD in the thoracic region. We present the case of a 23-year-old male with thoracic GSD, subsequent paraparesis, and life-threatening pleural effusion. The patient was managed by a multidisciplinary team with a good recovery. The pleural effusion was successfully treated with a pleuro-peritoneal shunt. This is the first report of the use of this mini-invasive technique in the management of pleural effusion related to GSD. Further, we present the potential role of interleukin-6 and bone resorption markers in the measurement of the disease activity.

Learning points

Multidisciplinary approach is important in the management of rare and severe disorders such as Gorham-Stout disease.

Pleuro-peritoneal shunting is a valuable option in the treatment of pleural effusion related to GSD.

Interleukin-6 and bone resorption markers appear useful in measuring the disease activity of GSD.
Acanthosis nigricans in a patient with metastatic insulinoma post peptide receptor radionuclide therapy
Authors: Yun Jenny S W , McCormack Chris , Goh Michelle , Chiang Cherie
Published: June 2022

Acanthosis nigricans (AN) is a common dermatosis associated with hyperinsulinemia and insulin resistance. However, AN has been rarely reported in patients with insulinoma, a state of persistent hyperinsulinemia. We present a case of metastatic insulinoma, in whom AN manifested after the first cycle of peptide receptor radionuclide therapy (PRRT). A 40-year-old man was diagnosed with metastatic insulinoma after 5 months of symptomatic hypoglycemia. Within 1 month post PRRT, the patient became euglycemic but developed a pigmented, pruritic rash which was confirmed on biopsy as AN. We discuss the rare manifestation of AN in subjects with insulinoma, the role of insulin in the pathogenesis of AN, malignant AN in non-insulin-secreting malignancies and association with other insulin-resistant endocrinopathies such as acromegaly.

Learning points

Acanthosis nigricans (AN) is a common dermatosis which is typically asymptomatic and associated with the hyperinsulinemic state.

Malignant AN can rapidly spread, cause pruritus and affect mucosa and the oral cavity.

AN is extremely rare in patients with insulinoma despite marked hyperinsulinemia.

Peptide receptor radionuclide therapy might have triggered TGF-α secretion in this subject which led to malignant AN.

Rapid spread or unusual distribution of pruritic AN warrants further investigation to exclude underlying malignancy.
Faktor-Faktor yang Mempengaruhi Kinerja Auditor
Authors: Nufus Khayatun , Fadillah Pascal
Published: June 2022

The purpose of this research is to analyze the influence of auditing structures, role conflicts, role ambiguity, reward systems, the effectiveness of the use of accounting information system technology on auditors’ performance. This study used primary data by distributing questionnaires to auditors who worked for the public accounting firms in Tangerang Raya. Determination of the sample using simple random sampling method. This study used a sample of 77 respondents. Data were analyze using multiple linear regression analysis methods with the help of SPSS 20 programme. The results of this research indicate that audit structure and effectiveness of the use of accounting information system technology has a impact on auditor performance. Meanwhile, role conflict, role ambiguity and reward system does not have impact on auditor performance.
Pengaruh Inflasi Terhadap Pembiayaan Perbankan Syariah di Indonesia Periode 2016- 2020
Authors: Yanti Yanti , Khotimah Husnul
Published: June 2022

This study aims to determine whether inflation affects the Financing to Deposit Ratio (FDR) and Non Performing Financing (NPF). The method in this research is quantitative associative. The data used is secondary data which is publication data that has been collected by other parties. Sources of data for each variable were obtained from the official website of Badan Pusat Statistik (https://bps.go.id), Bank Indonesia (https://www.bi.go.id) and Otoritas Jasa Keuangan (www.ojk. go.id). The results of this study indicate that inflation has a positive or negative effect on the Financing to Depocit Ratio (FDR) and Non Performing Financing (NPF). The point is that inflation has an influence on FDR and NPF. However, the effect varies greatly each period according to the IRF inflation response graph test to FDR, or the IRF inflation response graph to NPF. If it is related to each other, Inflation, Financing to Depot Ratio (FDR) and Non-Performing Financing (NPF) are said to have direct or indirect effects and impacts that are interrelated but not too large in the banking industry.
Determinan Opini Audit Going Concern pada Perusahaan Sub Sektor Hotel dan Pariwisata
Authors: Ramadhan Prasetyo , Fikri Ali , Prayoga Yura
Published: June 2022

This study aims to analyze the determinants of going concern audit opinions on hospitality and tourism companies listed on the Indonesia Stock Exchange. The type of data used in this study is secondary data obtained from the company’s website or the Indonesia Stock Exchange website. The sampling technique in this article uses purposive sampling and gets 44 samples. The data analysis method used in this study is Panel Data Regression using the Random Effect model and the results show that only the leverage ratio has an effect on going concern audit opinion. While other variables such as financial distress, liquidity ratio, company size and profitability ratios have no effect on going concern audit opinion. The contribution of the results of this article will enrich research on going concern audit opinions during the pandemic.
Microbiological quality of chicken meat treated with essential oils
Authors: Kunová Simona , Haščík Peter , Rovný Patrik , Mellen Martin , Kačániová Miroslava
Published: June 2022

The aim of the present study was to evaluate the antimicrobial effect of essential oils to the various groups of microorganisms during the storage of chicken meat. Chicken breast muscle samples were used in the experiments. The number of lactic acid bacteria (LAB), mesophilic anaerobically sporulating microorganisms (MASM), coliform bacteria (CB) and Pseudomonas spp. in chicken breast muscle samples after treatment with cinnamon and clove essential oil in combination with vacuum packaging was evaluated. Samples were analyzed at 0th, 4th, 8th, 12th, and 16th of chicken meat storage at 4° C. Another aim was to determine the species of isolated microorganisms from chicken meat samples using MALDI-TOF MS Biotyper.
Cardiopulmonary Resuscitation with an Intact Umbilical Cord
Authors: Koo Jenny , Katheria Anup
Published: June 2022

See Bonus NeoBriefs videos and downloadable teaching slides

The body of literature supporting different umbilical management strategies has increased over the past decade as the role of cord management in neonatal transition is realized. Multiple international governing bodies endorse delayed cord clamping, and this practice is now widely accepted by obstetricians and neonatologists. Although term and preterm neonates benefit in some ways from delayed cord clamping, additional research on variations in this practice, including resuscitation with an intact cord, aim to find the optimal cord management practice that reduces mortality and major morbidities.
Children and Youth With Special Health Care Needs: A Profile
Authors: Ghandour Reem M. , Hirai Ashley H. , Kenney Mary Kay
Published: June 2022

BACKGROUND AND OBJECTIVES

The National Survey of Children’s Health (NSCH) is the nation’s primary source for data on children and youth with special health care needs (CYSHCN) and the only source for state-level estimates. We provide the latest estimates of CYSHCN in the United States, describe population characteristics, as well as the proportion that are served in a well-functioning system of care.

METHODS

Data from the 2016, 2017, 2018, and 2019 NSCH were appended, resulting in a final analytic sample of 30 301 CYSHCN. Bivariate associations between the covariates and SHCN status as well as the 6 core outcomes that comprise a well-functioning system of care were examined using χ2 tests. Multivariable logistic regression was used to identify factors independently associated with SHCN status and a well-functioning system of care.

RESULTS

The overall prevalence of CYSHCN was 18.8% and ranged from 13.6% in Hawaii to 24% of individuals included in the NSCH in West Virginia. The most reported type of SHCN was prescription medication use (29.3%), whereas 25.9% of CYSHCN had functional limitations. Over one-third reported no daily activity impacts, whereas 18.9% reported consistent or significant daily impacts. CYSHCN were more likely than non-CYSHCN to be male, older, non-Hispanic Black, live in poverty, and have public insurance but disparities by race and ethnicity and income were no longer significant after adjustment. Only 14.9% of CYSHCN were reported to receive care in a well-organized system. Rates were substantially lower among older and more heavily affected children with adjusted rate ratios for access to a well-functioning system of care, indicating a 72% reduction for adolescents (12–17), compared with young children (0–5) and a 24% to 53% reduction for those with more than a prescription medication qualifying need.

CONCLUSIONS

CYSHCN remain a sizable and diverse population with distinct challenges in accessing well-functioning systems of care, particularly for those with the greatest needs. Our results provide a profile of the population designed to inform future surveillance, research, program, and policy priorities showcased in this Special Issue.
Access to Services for Children and Youth With Special Health Care Needs and Their Families: Concepts and Considerations for an Integrated Systems Redesign
Authors: Kuo Dennis Z. , Rodgers Rylin C. , Beers Nathaniel S. , McLellan Sarah E. , Nguyen Teresa K.
Published: June 2022

Access to services for children and youth with special health care needs (CYSHCN) have typically emphasized coverage, service, timeliness, and capability. Yet families of CYSHCN continue to describe a fragmented health care system with significant unmet needs. For many years, the concept of access to services has focused on the services themselves, rather than starting with the needs of CYSHCN and their families. Meeting these needs should be grounded in health equity, address systemic racism and ableism, and emphasize the life course and journey of those with such needs and their families. In this paper, we start with the simple concept of asking that care is available for CYSHCN regardless of when, where, and how they need it. Access to services is built on relationships instead of a series of transactions. Opportunities for innovation include creating a single point of service entry; determining services based on need instead of diagnosis; and emphasizing service continuity, transition, and a place-based approach. The innovations reimagine access throughout the life course, centering care around a proactive, human-centered system that addresses health and all of its determinants. The landscape of antipoverty investments, cultural humility, workforce changes, technology, and human-centered thought in design have the potential to further transform the conceptual framework to improve access to services for CYSHCN and their families.
Errata - Revista Psico v.52 n.4 (2021) - ID 36259
Authors: Periódicos EDIPUCRS
Published: June 2022

A Equipe Editorial da Revista Psico torna publica as seguintes alteração e substituição, na edição v. 52, n. 4 (2021), DOI: https://doi.org/10.15448/1980-8623.2021.4 , ID 36259, artigo, Método experimental e ensaios clínicos: metassíntese de artigos de revisão publicados em português de Claudio D. Rosa e Zenith Delabrida.
Nuevos registros de Otodontidae Glickman 1964B (Chondrichthyes) para el sur de la Península de Nicoya, Puntarenas, Costa Rica
Authors: Laurito César A. , Valerio Ana L. , Calvo Cristian
Published: June 2022

The Otodus genus and its species have been recorded in Southern Central America since the Eocene epoch, its remains are associated with calcareous or clastic sediments typical of sublitoral or inner neritic environments. One of these geological formations is Santa Teresa Fm. with a Middle Miocene to Lower Pliocene age range, outcropping in the Pacific margin and the elevated parts at the southern end of the Nicoya Peninsula, where a series of finds of Otodus (Megaselachus) chubutensis and Otodus (Megaselachus) megalodon had been previously reported. Over several decades, dental remains associated with Otodus genus have been recorded at Southern Nicoya Peninsula, fortuitous finds, some of them without direct geological context. However, the locations given by the people who made the findings, allow us to establish with some degree of certainty the sedimentary units from which the samples came, allowing us to increase the knowledge of the abundance and diversity of the fossil record of these giant sharks.
Cormohipparion quinni (Mammalia, Equidae, Hipparionini) del Mioceno Medio (Barstoviano Tardío) del Norte de Costa Rica
Authors: Miller Stephanie , Valerio Ana L. , Sudasassi Arturo , Laurito César A.
Published: June 2022

Por primera vez se registra la especie Cormohipparion quinni Woodburne 1996 para el Barstoviano Tardío de América Central y Costa Rica. Este hallazgo aporta una nueva pista al patrón de distribución paleobiogeográfico de los mammíferos de América del Norte y su incursión en el Neotropico del sur de América Central durante el Mioceno Medio. El presente ejemplar representa el registro más austral de dicho taxón en el Mioceno Medio tardío en el Hemisferio Norte.
Vörösvértest morfológiai eltérések COVID–19 fertőzésben
Authors: Szerafin László , Czibere Bernadett , Czine Zsigmond , Misák Viktor , Szűcs Attila , Jakó János
Published: June 2022

Bevezetés

A COVID–19 betegség okozta hematológiai eltérések közül a hemosztázis eltérések, citopéniák irodalma bőséges. A vörösvértestek morfológiai eltéréseit azonban még kevésbé vizsgálták. Közleményünkben COVID–19 betegek vérkép és vörösvértest-morfológiai változásait elemeztük.

Módszer

44 igazoltan COVID–19 fertőzött, kórházunkban kezelt (17 fő intenzív osztályon, 27 fő általános COVID-osztályon) beteg vérképének mennyiségi jellemzőit ADVIA 2120i hematológiai automatával határoztuk meg. A vörösvértestek morfológiáját May-Grünwald-Giemsa szerint festett kenetek mikroszkópos vizsgálatával tanulmányoztuk. Mértük a C-reaktív protein szintjét, és az intenzív osztályon kezelt betegeinknél d-dimer- és fibrinogénszint meghatározása is történt.

Eredmények

A betegek 90,9%-ának vérkenetében láttunk vörösvértest-morfológiai eltérést (intenzív osztályon kezelt betegek 88,2%-ában, általános COVID-osztályon kezelt betegek 92,6%-ában). A leggyakoribb vörösvértest-morfológiai elváltozások: pénztekercsképződés (70,6%, illetve 44,4%), basophil punktáció (35,3%, illetve 74,1%), acanthocytosis (17,6%, illetve 55,6%) volt. Ezenkívül stomatocytosist, sphaerocytosist, fragmentocytosist, elliptocytosist és dakryocytákat is megfigyeltünk kisebb számban. Nem találtunk szignifikáns összefüggést a vörösvértest-átmérő variációs koefficiens (RDW) értéke és a betegség kórlefolyásának súlyossága között.

Következtetések

COVID–19 fertőzésben a vörösvértestek morfológiai eltérései igen gyakran megfigyelhetőek a betegség súlyosságától függetlenül. Ezek hátterében a fertőzés okozta nagymértékű oxidatív stressz, a vörösvértestmembrán szerkezeti fehérjéinek és a membrán lipid homeosztázisának sérülései és autoagglutináció állnak.
Análise prognóstica da densidade linfonodal de pacientes recidivados previamente submetidos à cirurgia de esvaziamento cervical por neoplasia de cabeça e pescoço
Authors: RAMOS JOÃO PAULO ZENUN , MACHADO FELIPE RAULE , MERHI VANIA APARECIDA LEANDRO , AQUINO JOSÉ LUÍS BRAGA DE
Published: June 2022

RESUMO Introdução: recentemente tem-se estudado a variável densidade linfonodal como possível influenciador na sobrevida de pacientes com diagnóstico de câncer de cabeça e pescoço. Objetivo: analisar a relação entre a densidade linfonodal e a sobrevida de pacientes recidivados previamente submetidos a cirurgia de esvaziamento cervical por carcinoma espinocelular de cabeça e pescoço. Método: foram analisados retrospectivamente 71 prontuários pacientes atendidos no Serviço de Cirurgia de Cabeça e Pescoço da Pontifícia Universidade Católica de Campinas que tinham sido submetidos a cirurgia de esvaziamento cervical e apresentaram recidiva tumoral entre os anos de 2006 e 2019. Dados relativos ao paciente e ao tumor tais como: idade, sexo, cor da pele, tabagismo, etilismo, localização do tumor primário, características anatomopatológicas e status linfonodal foram correlacionados ao tempo de sobrevida dos indivíduos. Resultados: encontramos predominância do sexo masculino e a média de idade foi de 59,5 anos. O sítio primário mais frequente foi a cavidade oral seguido da laringe e orofaringe. A taxa de mortalidade foi de 53,52% e a densidade linfonodal média 0,28. Encontramos influência na sobrevida com significância estatística para os parâmetros: densidade linfonodal, número de linfonodos dissecados e acometidos, estadiamento T e N, tipo de tratamento proposto (paliativo ou cirúrgico), presença de margens comprometidas no tumor primário e extravasamento linfonodal. Conclusão: o cálculo da densidade linfonodal em pacientes recidivados após cirurgia de esvaziamento cervical por carcinoma espinocelular de cabeça e pescoço deve ser levado em consideração durante o planejamento terapêutico e na avaliação prognóstica devido à sua direta influencia na sobrevida dos indivíduos.
Influence of Trichoderma harzianum and Bacillus thuringiensis with reducing rates of NPK on growth, physiology, and fruit quality of Citrus aurantifolia
Authors: Abdelmoaty S. , Khandaker M. M. , Mahmud K. , Majrashi A. , Alenazi M. M. , Badaluddin N. A.
Published: June 2022

Abstract Continuous use of chemical fertilizers gradually shrinks the crop yield and quality, and these adverse effects can be reduced by adopting new sustainable practices such as the use of manure, biofertilizers, and nano fertilizers. Limited information is existed on the application of Trichoderma harzianum and Bacillus thuringiensis microbes to improve lemon seedlings growth, physiology, and fruit formation. Therefore, the current study is aimed to evaluate the effects of T. harzianum and B. thuringiensis microbes mixing with low levels of inorganic fertilizer (NPK) on the plant growth, development, and quality of limau nipis (key lemon) fruits. The lemon seedlings growing media were inoculated during transplanting with T. harzianum and B. thuringiensis at various NPK fertilizers under polybagged conditions. The seedlings were grown around eighteen (18) months after inoculation with biofertilizers followed by Randomized Complete Block Design (RCBD) with five (5) replications. The results showed that T. harzianum with 50 g of NPK treatment (T2) increased the seedling's height, branch number, leaf height, ground area, and absolute growth rate (AGR) plant height by 50.12%, 107.84%, 17.91%, 17.91%, 116.93%, and 56.02%, respectively, over the control treatment. The number of leaves (60.82%), leaf area (42.75%), stem diameter (27.34%), specific leaf area (SLA) (39.07%), leaf area index (LAI) (54.40%), and absolute growth rate for leaf number (73.86%), leaf area (306.85%) and stem diameter (46.8%) of lemon seedlings increased significantly with B. thuringiensis plus 50 g NPK treatment (T3). The applications of B. thuringiensis with 25 g NPK fertilizer treatment (T5) increased leaf fresh weight (LFW), leaf dry weight (LDW), leaf moisture content (LMC), specific leaf weight (SLW), leaf relative growth rate (RGR), and chlorophyll content by 96.45%, 56.78%, 13.60%, 24.76%, 45.45%, and 16.22%, respectively, over the control group. In addition, T5 treatment increased the fruits number, individual fruit weight, fruit diameter, fruit dimension, leaf total soluble solids (TSS), and fruit TSS content of lemon tress by 81.81%, 55.52%, 43.54%, 25.69%, 89.47%, and 70.78% compared to the control treatment. Furthermore, soil inoculation of B. thuringiensis significantly increased the pulp to peel ratio and juice content of lemon fruits. From this study, it can be concluded that soil inoculation of both T. harzianum and B. thuringiensis with 25-50% NPK during transplanting improved plant growth, physiology, and fruit quality of limau nipis trees.
Flexibility of Brazilian children and adolescents: a systematic review of the literature
Authors: Lima Luiz Rodrigo Augustemak de , Menezes Enaiane Cristina , Tenório Thiago Ricardo dos Santos , Mendonça Braulio César de Alcantara , Rodrigues Natália Almeida , Victo Eduardo Rossato de , Estrada-Saldaña Esteban , Stingl-Zúñiga Ignacio , Zúñiga-Silví Jorge , Ferrari Gerson
Published: June 2022

abstract Flexibility is related to specific tissue properties of the body, which aim to determine the maximum range of motion of the joints without injury. This study aimed to identify and summarize the evidence on prevalence of adequate levels of flexibility in Brazilian children and adolescents (6 to 19 years old). We performed a systematic search of studies published from 2009 to 2019 in six databases (MEDLINE/PubMed; Scopus; SportDiscus; LILACS; Web of Science; SCIELO). Fourteen studies that compiled data from 11,666 participants in seven different Brazilian states were included. All studies conducted sit and reach tests to assess flexibility. Among all the children and adolescents in the analyzed studies, 58.9% of the total (62.0% of boys and 50.9% of girls) had adequate flexibility. We conclude that more than half of Brazilian children and adolescents have adequate flexibility for health.
DA FALSA HARMONIA À FALA FRANCA: AS AGRESSÕES VERBAIS EM CAMPANHAS ELEITORAIS PRESIDENCIAIS
Authors: SARGENTINI Vanice , REIS Geovana Chiari
Published: June 2022

RESUMO Este artigo, partindo dos pressupostos teóricos dos estudos do discurso, sob uma perspectiva foucaultiana, visa investigar o funcionamento e a possível intensificação da agressão verbal nas duas últimas campanhas eleitorais presidenciais ocorridas no Brasil nos anos de 2014 e de 2018, consideradas muito violentas pela percepção dos brasileiros. Para tal, ampara-se no conceito de acontecimento discursivo, que está estreitamente ligado às condições de emergência, uma vez que os enunciados são produzidos a partir de um regime de enunciabilidade. Esses enunciados estão inescapavelmente inscritos nos quadros históricos e sociais de sua constituição, a partir dos quais são examinados, considerando suas formulações e formas de circulação. Resultados indicam que, com base nos excertos analisados, extraídos de debates televisivos das campanhas eleitorais de 2014 e de 2018, a construção discursiva de uma falsa harmonia tende a expressar um equilíbrio nas relações polêmicas próprias do discurso político, em especial em situação de campanha eleitoral. A fala franca, por sua vez, sob a máscara da autenticidade, e, por extensão, do ser-verdadeiro, atua como uma estratégia do discurso político reveladora do discurso autoritário, vindo a obliterar a possibilidade de um jogo político pautado em trocas argumentativas.
The combination of monoglycerides, wax and hardfat on oleogels structuration
Authors: Silva Thais Lomonaco Teodoro da , Fernandes Gabriel Deschamps , Arellano Daniel Barrera
Published: June 2022

Abstract This study aimed to develop multicomponent oleogels to achieve desirable technological properties, affordability, and enhanced sensory acceptance for future food applications. Two Central Composite Rotatable Designs (CCRD) were performed with three independent variables, monoacylglycerols (MG), candelilla wax (CLX), and hardfat (HF). One design used soybean oil oleogels (SB) and the other used high oleic sunflower oil oleogels (SF). The variable responses evaluated were hardness (N), oil loss (%), thermal stability, and visual strength. For SB oleogels, CLX was related to the variable that was superior concerning all technological properties as >2 N in hardness, no oil loss, and higher stability to thermal treatment. For SF oleogels, the MG and the interactions of MG, CLX, and HF showed significant technological properties, indicating that the three oleogelators can co-crystallize better together in this oil, thus obtaining the same results as CLX alone in higher amounts.
TRANSDISCIPLINARIDADE NA EDUCAÇÃO LINGUÍSTICA COM CRIANÇAS: PROPULSIONANDO O ENGAJAMENTO TEXTUAL
Authors: Ferreira Otto Henrique , Tonelli Juliana Reichert Assunção
Published: June 2022

Tendo em vista os novos desafios que se apresentam para professores e alunos em um contexto já afetado pela falta de diretrizes nacionais, que é o do ensino de línguas adicionais para crianças, compreendemos que atividades transdisciplinares possam potencializar o desenvolvimento linguístico dos alunos. Neste trabalho apresentamos análises de excertos de interações ao longo da aplicação de 3 atividades de uma sequência didática do gênero canção contemporânea pop (CCP) com foco no engajamento textual para a educação linguística crítica na infância. Foram utilizados elementos da língua inglesa e da linguagem musical para a realização de atividades de caráter transdisciplinar junto aos alunos de uma turma de 4º ano, com o objetivo de produzir uma CCP com função motivacional em inglês. Observamos que a resolução de um problema por meio da transdisciplinaridade colaborou para o engajamento textual e o desenvolvimento linguístico dos alunos participantes na pesquisa.
Dependence of Mechanical Properties of Platinum-Rhodium Binary Alloys on Valence Electron Parameters
Authors: Zarinejad Mehrdad , Rimaz Sajjad , Tong Yunxiang , Wada Kiyohide , Pahlevani Farshid
Published: June 2022

Dependence of mechanical properties of binary platinum-rhodium alloys on valence electron ratio (VER), number of valence electrons (ev) and average atomic number of the alloys (Z) are investigated. The alloys have a high number of valence electrons (9 ≤ ev ≤ 10) and a wide range of average atomic numbers (Z = 45–78). Clear correlations between VER of the alloys and their mechanical properties are found. By increasing the VER of the alloy from 0.13 to 0.20 following the increase of rhodium content in the composition, the hardness, elastic modulus and ultimate tensile strength (UTS) of the alloy increases. Creep rates of the selected alloys clearly decrease with increasing VER at high temperatures (1500–1700°C), while stress rupture time at different temperatures consistently increases because of higher rhodium content in the alloy solid solution chemistry. Dependence of mechanical properties on valence electron parameters is discussed with reference to the atomic bonding.
Predicting Disease Transmission from Geo-Tagged Micro-Blog Data
Authors: Sadilek Adam , Kautz Henry , Silenzio Vincent
Published: June 2022

Researchers have begun to mine social network data in order to predict a variety of social, economic, and health related phenomena. While previous work has focused on predicting aggregate properties, such as the prevalence of seasonal influenza in a given country, we consider the task of fine-grained prediction of the health of specific people from noisy and incomplete data. We construct a probabilistic model that can predict if and when an individual will fall ill with high precision and good recall on the basis of his social ties and co-locations with other people, as revealed by their Twitter posts. Our model is highly scalable and can be used to predict general dynamic properties of individuals in large real-world social networks. These results provide a foundation for research on fundamental questions of public health, including the identification of non-cooperative disease carriers ("Typhoid Marys"), adaptive vaccination policies, and our understanding of the emergence of global epidemics from day-to-day interpersonal interactions.
A Convex Formulation for Learning from Crowds
Authors: Kajino Hiroshi , Tsuboi Yuta , Kashima Hisashi
Published: June 2022

Recently crowdsourcing services are often used to collect a large amount of labeled data for machine learning, since they provide us an easy way to get labels at very low cost and in a short period. The use of crowdsourcing has introduced a new challenge in machine learning, that is, coping with the variable quality of crowd-generated data. Although there have been many recent attempts to address the quality problem of multiple workers, only a few of the existing methods consider the problem of learning classifiers directly from such noisy data. All these methods modeled the true labels as latent variables, which resulted in non-convex optimization problems. In this paper, we propose a convex optimization formulation for learning from crowds without estimating the true labels by introducing personal models of the individual crowd workers. We also devise an efficient iterative method for solving the convex optimization problems by exploiting conditional independence structures in multiple classifiers. We evaluate the proposed method against three competing methods on synthetic data sets and a real crowdsourced data set and demonstrate that the proposed method outperforms the other three methods.
SPARQL Query Containment Under SHI Axioms
Authors: Chekol Melisachew Wudage , Euzenat Jérôme , Genevès Pierre , Layaïda Nabil
Published: June 2022

SPARQL query containment under schema axioms is the problem of determining whether, for any RDF graph satisfying a given set of schema axioms, the answers to a query are contained in the answers of another query. This problem has major applications for verification and optimization of queries. In order to solve it, we rely on the mu-calculus. Firstly, we provide a mapping from RDF graphs into transition systems. Secondly, SPARQL queries and RDFS and SHI axioms are encoded into mu-calculus formulas. This allows us to reduce query containment and equivalence to satisfiability in the mu-calculus. Finally, we prove a double exponential upper bound for containment under SHI schema axioms.
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering
Authors: Zhou Tom Chao , Si Xiance , Chang Edward Y. , King Irwin , Lyu Michael R.
Published: June 2022

Automatic Subjective Question Answering (ASQA), which aims at answering users'subjective questions using summaries of multiple opinions, becomes increasingly important. One challenge of ASQA is that expected answers for subjective questions may not readily exist in the Web. The rising and popularity of Community Question Answering (CQA) sites, which provide platforms for people to post and answer questions, provides an alternative to ASQA. One important task of ASQA is question subjectivity identification, which identifies whether a user is asking a subjective question. Unfortunately, there has been little labeled training data available for this task. In this paper, we propose an approach to collect training data automatically by utilizing social signals in CQA sites without involving any manual labeling. Experimental results show that our data-driven approach achieves 9.37% relative improvement over the supervised approach using manually labeled data, and achieves 5.15% relative gain over a state-of-the-art semi-supervised approach. In addition, we propose several heuristic features for question subjectivity identification. By adding these features, we achieve 11.23% relative improvement over word n-gram feature under the same experimental setting.
Don't Be Strict in Local Search!
Authors: Gaspers Serge , Kim Eun Jung , Ordyniak Sebastian , Saurabh Saket , Szeider Stefan
Published: June 2022

Local Search is one of the fundamental approaches to combinatorial optimization and it is used throughout AI. Several local search algorithms are based on searching the k-exchange neighborhood. This is the set of solutions that can be obtained from the current solution by exchanging at most k elements. As a rule of thumb, the larger k is, the better are the chances of finding an improved solution. However, for inputs of size n, a naive brute-force search of the k-exchange neighborhood requires n(O(k)) time, which is not practical even for very small values of k. Fellows et al. (IJCAI 2009) studied whether this brute-force search is avoidable and gave positive and negative answers for several combinatorial problems. They used the notion of local search in a strict sense. That is, an improved solution needs to be found in the k-exchange neighborhood even if a global optimum can be found efficiently. In this paper we consider a natural relaxation of local search, called permissive local search (Marx and Schlotter, IWPEC 2009) and investigate whether it enhances the domain of tractable inputs. We exemplify this approach on a fundamental combinatorial problem, Vertex Cover. More precisely, we show that for a class of inputs, finding an optimum is hard, strict local search is hard, but permissive local search is tractable. We carry out this investigation in the framework of parameterized complexity.
An Intelligent Battery Controller Using Bias-Corrected Q-learning
Authors: Lee Donghun , Powell Warren
Published: June 2022

The transition to renewables requires storage to help smooth short-term variations in energy from wind and solar sources, as well as to respond to spikes in electricity spot prices, which can easily exceed 20 times their average. Efficient operation of an energy storage device is a fundamental problem, yet classical algorithms such as $Q$-learning can diverge for millions of iterations, limiting practical applications. We have traced this behavior to the max-operator bias, which is exacerbated by high volatility in the reward function, and high discount factors due to the small time steps. We propose an elegant bias correction procedure and demonstrate its effectiveness.
The Automated Vacuum Waste Collection Optimization Problem
Authors: Béjar Ramón , Fernández César , Mateu Carles , Manyà Felip , Sole-Mauri Francina , Vidal David
Published: June 2022

One of the most challenging problems on modern urban planning and one of the goals to be solved for smart city design is that of urban waste disposal. Given urban population growth, and that the amount of waste generated by each of us citizens is also growing, the total amount of waste to be collected and treated is growing dramatically (EPA 2011), becoming one sensitive issue for local governments. A modern technique for waste collection that is steadily being adopted is automated vacuum waste collection. This technology uses air suction on a closed network of underground pipes to move waste from the collection points to the processing station, reducing greenhouse gas emissions as well as inconveniences to citizens (odors, noise, . . . ) and allowing better waste reuse and recycling. This technique is open to optimize energy consumption because moving huge amounts of waste by air impulsion requires a lot of electric power. The described problem challenge here is, precisely, that of organizing and scheduling waste collection to minimize the amount of energy per ton of collected waste in such a system via the use of Artificial Intelligence techniques. This kind of problems are an inviting opportunity to showcase the possibilities that AI for Computational Sustainability offers.
Cooperative Virtual Power Plant Formation Using Scoring Rules
Authors: Robu Valentin , Kota Ramachandra , Chalkiadakis Georgios , Rogers Alex , Jennings Nicholas
Published: June 2022

Virtual Power Plants (VPPs) are fast emerging as a suitable means of integrating small and distributed energy resources (DERs), like wind and solar, into the electricity supply network (Grid). VPPs are formed via the aggregation of a large number of such DERs, so that they exhibit the characteristics of a traditional generator in terms of predictability and robustness. In this work, we promote the formation of such "cooperative'' VPPs (CVPPs) using multi-agent technology. In particular, we design a payment mechanism that encourages DERs to join CVPPs with large overall production. Our method is based on strictly proper scoring rules and incentivises the provision of accurate predictions from the CVPPs---and in turn, the member DERs---which aids in the planning of the supply schedule at the Grid. We empirically evaluate our approach using the real-world setting of 16 commercial wind farms in the UK. We show that our mechanism incentivises real DERs to form CVPPs, and outperforms the current state of the art payment mechanism developed for this problem.
Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults
Authors: Osborne Michael , Garnett Roman , Swersky Kevin , De Freitas Nando
Published: June 2022

Many signals of interest are corrupted by faults of anunknown type. We propose an approach that uses Gaus-sian processes and a general “fault bucket” to capturea priori uncharacterised faults, along with an approxi-mate method for marginalising the potential faultinessof all observations. This gives rise to an efficient, flexible algorithm for the detection and automatic correction of faults. Our method is deployed in the domain of water monitoring and management, where it is able to solve several fault detection, correction, and prediction problems. The method works well despite the fact that the data is plagued with numerous difficulties, including missing observations, multiple discontinuities, nonlinearity and many unanticipated types of fault.
Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks
Authors: Martinez Neo , Tonnin Perrine , Bauer Barbara , Rael Rosalyn , Singh Rahul , Yoon Sangyuk , Yoon Ilmi , Dunne Jennifer
Published: June 2022

Understanding ecological complexity has stymied scientists for decades. Recent elucidation of the famously coined "devious strategies for stability in enduring natural systems" has opened up a new field of computational analyses of complex ecological networks where the nonlinear dynamics of many interacting species can be more realistically modeled and understood. Here, we describe the first extension of this field to include coupled human-natural systems. This extension elucidates new strategies for sustaining extraction of biomass (e.g., fish, forests, fiber) from ecosystems that account for ecological complexity and can pursue multiple goals such as maximizing economic profit, employment and carbon sequestration by ecosystems. Our more realistic modeling of ecosystems helps explain why simpler "maximum sustainable yield" bioeconomic models underpinning much natural resource extraction policy leads to less profit, biomass, and biodiversity than predicted by those simple models. Current research directions of this integrated natural and social science include applying artificial intelligence, cloud computing, and multiplayer online games.
Coupling Spatiotemporal Disease Modeling with Diagnosis
Authors: Mubangizi Martin , Ikae Caterine , Spiliopoulou Athina , Quinn John
Published: June 2022

Modelling the density of an infectious disease in space and time is a task generally carried out separately from the diagnosis of that disease in individuals. These two inference problems are complementary, however: diagnosis of disease can be done more accurately if prior information from a spatial risk model is employed, and in turn a disease density model can benefit from the incorporation of rich symptomatic information rather than simple counts of presumed cases of infection. We propose a unifying framework for both of these tasks, and illustrate it with the case of malaria. To do this we first introduce a state space model of malaria spread, and secondly a computer vision based system for detecting plasmodium in microscopical blood smear images, which can be run on location-aware mobile devices. We demonstrate the tractability of combining both elements and the improvement in accuracy this brings about.
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
Authors: Faghmous James , Chamber Yashu , Boriah Shyam , Vikebø Frode , Liess Stefan , Dos Santos Mesquita Michel , Kumar Vipin
Published: June 2022

Swirls of ocean currents known as ocean eddies are a crucial component of the ocean's dynamics. In addition to dominating the ocean's kinetic energy, eddies play a significant role in the transport of water, salt, heat, and nutrients. Therefore, understanding current and future eddy patterns is a central climate challenge to address future sustainability of marine ecosystems. The emergence of sea surface height observations from satellite radar altimeter has recently enabled researchers to track eddies at a global scale. The majority of studies that identify eddies from observational data employ highly parametrized connected component algorithms using expert filtered data, effectively making reproducibility and scalability challenging. In this paper, we frame the challenge of monitoring ocean eddies as an unsupervised learning problem. We present a novel change detection algorithm that automatically identifies and monitors eddies in sea surface height data based on heuristics derived from basic eddy properties. Our method is accurate, efficient, and scalable. To demonstrate its performance we analyze eddy activity in the Nordic Sea (60-80N and 20W-20E), an area that has received limited attention and has proven to be difficult to analyze using other methods.