bluuebunny/crossref_metadata_2025 huggingface dataset:
Extraction of Polyphenols from Unripened Coffee (Coffea Arabica) Residues and Use as a Natural Coagulant for Removing Turbidity
Authors: Cuesta-Parra Diana Marcela , Correa-Mahecha Felipe , Rodríguez-Miranda Juan Pablo , Salcedo-Parra Octavio José , Rivas-Trujillo Edwin
Published: June 2022

The coffee agribusiness generates significant amounts of waste that becomes an environmental problem in producing countries. For example, synthetic coagulants have sustainability disadvantages. Immature coffee beans are collected together with mature beans, and their high polyphenol content makes them unsuitable for coffee production and commercialization. This paper aims to test the coagulant activity of polyphenols extracted from Coffea arabica residues in synthetic water samples to use them as raw material for producing a natural coagulant based on bioeconomy. It would thus allow immature coffee beans to recover, avoiding their inadequate disposition. An extract was obtained from residual green coffee beans using the ultrasound-assisted separation technique with a mixture of ethanol and water in a 1:1 ratio. The Folin–Ciocalteu method was applied for the total polyphenols quantification, resulting in a concentration of 73.54 ± 0.05 mg GAE (Gallic Acid Equivalent) per gram on a dry coffee basis (GAE/gDB). The synthetic water for the study was prepared with kaolin, showing initial turbidity of 520.90 ± 0.1 NTU (Nephelometric Turbidity Units). First, the effect of pH was determined on the coagulant activity at a fixed dose of polyphenols 2.6 mg GAE/L. Second, the dose and pH results were evaluated using a multilevel factorial design with 5.20, 3.90, 2.60, and 1.30 mg GAE/L doses and pH at 2.5, 3.0, 3.5, and 4.0. Third, the turbidity removal achieved was 99.94% at a dose of 3.9 ± 0.05 mg GAE/L and a pH of 2.5. Fourth, the result was compared with the turbidity removal of the aluminum sulfate dosed at a concentration of 3 mg/L on the same water type, with a pH variation between 5.5 and 8, obtaining 98.69% of turbidity removed. Finally, the research demonstrated that the polyphenols extracted from the residues of the Coffea arabica species possess a high electrochemical affinity that would allow removing turbidity by coagulation in waters at specific pH levels with similar removals to those obtained with aluminum sulfate.
Making Biomarkers Relevant to Healthcare Innovation and Precision Medicine
Authors: Al-Dewik Nader I. , Younes Salma N. , Essa Musthafa Mohamed , Pathak Surajit , Qoronfleh M. Walid
Published: June 2022

Translational medicine, the exchange between laboratory (bench) and the clinic (bedside), is decidedly taking on a vital role. Many companies are now focusing on a translational medicinal approach as a therapeutic strategy in decision making upon realizing the expenses of drug attrition in late-stage advancement. In addition, the utility of biomarkers in clinical decision and therapy guidance seeks to improve the patient outcomes and decrease wasteful and harmful treatment. Efficient biomarkers are crucial for the advancement of diagnoses, better molecular targeted therapy, along with therapeutic advantages in a broad spectrum of various diseases. Despite recent advances in the discovery of biomarkers, the advancement route to a clinically validated biomarker remains intensely challenging, and many of the candidate biomarkers do not progress to clinical applications, thereby widening the innovation gap between research and application. The present article will focus on the clinical view of biomarkers in a reverse design, addressing how a biomarker program should appear if it is expected to create an impact on personalized medicine and patient care.
Energy Savings for Car Stores by Using Energy Efficiency Improvements
Authors: Briceño-León Marco , Montenegro-Tobar Doménica , Clairand Jean-Michel , Escrivá-Escrivá Guillermo
Published: June 2022

Industries in different sectors are addressing the emission reductions of their processes. Several energy efficiency proposals have been developed by researchers. However, the complexity of most industrial sectors makes it difficult for modelers, businesses, and policymakers to appreciate and realize the full potential for efficiency-driven energy savings in specific industries. Thus, this paper studies the energy efficiency potentials within a vehicle store in Quito, Ecuador. Data on power consumption, operating hours, and consumption were recorded for each inventory item. The workshop was identified as a problem area when the data were analyzed by agency action areas. It is the part of the company with the most machinery and the most operational hours. Finally, proposals for energy efficiency were developed and examined using the internal rate of return and net present value. The proposals with the best applicability were specified using these two indications, resulting in the changing of lights, the use of a timer for the compressor, and the reduction of pump usage time, and lastly, the energy performance indicator and the energy use intensity of the building were calculated.
A Comparison of Blood Plasma Small Extracellular Vesicle Enrichment Strategies for Proteomic Analysis
Authors: Turner Natalie P. , Abeysinghe Pevindu , Kwan Cheung Keith A. , Vaswani Kanchan , Logan Jayden , Sadowski Pawel , Mitchell Murray D.
Published: June 2022

Proteomic analysis of small extracellular vesicles (sEVs) poses a significant challenge. A ‘gold-standard’ method for plasma sEV enrichment for downstream proteomic analysis is yet to be established. Methods were evaluated for their capacity to successfully isolate and enrich sEVs from plasma, minimise the presence of highly abundant plasma proteins, and result in the optimum representation of sEV proteins by liquid chromatography tandem mass spectrometry. Plasma from four cattle (Bos taurus) of similar physical attributes and genetics were used. Three methods of sEV enrichment were utilised: ultracentrifugation (UC), size-exclusion chromatography (SEC), and ultrafiltration (UF). These methods were combined to create four groups for methodological evaluation: UC + SEC, UC + SEC + UF, SEC + UC and SEC + UF. The UC + SEC method yielded the highest number of protein identifications (IDs). The SEC + UC method reduced plasma protein IDs compared to the other methods, but also resulted in the lowest number of protein IDs overall. The UC + SEC + UF method decreased sEV protein ID, particle number, mean and mode particle size, particle yield, and did not improve purity compared to the UC + SEC method. In this study, the UC + SEC method was the best method for sEV protein ID, purity, and overall particle yield. Our data suggest that the method and sequence of sEV enrichment strategy impacts protein ID, which may influence the outcome of biomarker discovery studies.
PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine
Authors: Vizzari Marco
Published: June 2022

PlanetScope (PL) high-resolution composite base maps have recently become available within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between Google and the Norway’s International Climate and Forest Initiative (NICFI). Object-based (OB) image classification in the GEE environment has increased rapidly due to the broadly recognized advantages of applying these approaches to medium- and high-resolution images. This work aimed to assess the advantages for land cover classification of (a) adopting an OB approach with PL data; and (b) integrating the PL datasets with Sentinel 2 and Sentinel 1 data both in Pixel-based (PB) or OB approaches. For this purpose, in this research, we compared ten LULC classification approaches (PB and OB, all based on the Random Forest (RF) algorithm), where the three satellite datasets were used according to different levels of integration and combination. The study area, which is 69,272 km2 wide and located in central Brazil, was selected within the tropical region, considering a preliminary availability of sample points and its complex landscape mosaic composed of heterogeneous agri-natural spaces, including scattered settlements. Using only the PL dataset with a typical RF PB approach produced the worse overall accuracy (OA) results (67%), whereas adopting an OB approach for the same dataset yielded very good OA (82%). The integration of PL data with the S2 and S1 datasets improved both PB and OB overall accuracy outputs (82 vs. 67% and 91 vs. 82%, respectively). Moreover, this research demonstrated the OB approaches’ applicability in GEE, even in vast study areas and using high-resolution imagery. Although additional applications are necessary, the proposed methodology appears to be very promising for properly exploiting the potential of PL data in GEE.
Experience Gained When Using the Yuneec E10T Thermal Camera in Environmental Research
Authors: Młynarczyk Adam , Królewicz Sławomir , Konatowska Monika , Jankowiak Grzegorz
Published: June 2022

Thermal imaging is an important source of information for geographic information systems (GIS) in various aspects of environmental research. This work contains a variety of experiences related to the use of the Yuneec E10T thermal imaging camera with a 320 × 240 pixel matrix and 4.3 mm focal length dedicated to working with the Yuneec H520 UAV in obtaining data on the natural environment. Unfortunately, as a commercial product, the camera is available without radiometric characteristics. Using the heated bed of the Omni3d Factory 1.0 printer, radiometric calibration was performed in the range of 18–100 °C (high sensitivity range–high gain settings of the camera). The stability of the thermal camera operation was assessed using several sets of a large number of photos, acquired over three areas in the form of aerial blocks composed of parallel rows with a specific sidelap and longitudinal coverage. For these image sets, statistical parameters of thermal images such as the mean, minimum and maximum were calculated and then analyzed according to the order of registration. Analysis of photos taken every 10 m in vertical profiles up to 120 m above ground level (AGL) were also performed to show the changes in image temperature established within the reference surface. Using the established radiometric calibration, it was found that the camera maintains linearity between the observed temperature and the measured brightness temperature in the form of a digital number (DN). It was also found that the camera is sometimes unstable after being turned on, which indicates the necessity of adjusting the device’s operating conditions to external conditions for several minutes or taking photos over an area larger than the region of interest.
Prevalence of Hepatitis B Virus Seromarkers in Female Sex Workers in Enugu State, Nigeria
Authors: Aniche Oluchi Mary-Cynthia , Orabueze Ibuchukwu Nkeonyenasoya , Nwafia Ifeyinwa Nkiruka , Ihezuo Justina Uchechi , Chinaka Chinwe Blessing , Egbe Kingsley Andrew , Ike Anthony Chibuogwu
Published: June 2022

Hepatitis B virus (HBV) is a sexually transmitted virus with a wide range of terminal complications. As such, female sex workers (FSWs) are an important group in the epidemiology of the virus. This study was aimed at evaluating the seroprevalence of HBV markers and the exposure rate of the virus among FSWs in Enugu State, Nigeria. A cross-sectional study was carried out among brothel-based FSWs, involving 200 participants recruited using a consecutive sampling method. Blood specimens were collected and tested for HBV markers using chromatographic immunoassay rapid test kits. Additional information was obtained through the administration of a well-structured pre-tested questionnaire. Data were entered into Statistical Package for Social Sciences (SPSS) version 20.0 and analyzed using the Descriptive Statistics and Chi-Square test in SPSS. Out of the 200 sampled individuals, 82(41%) tested positive for at least one seromarker, with 44(22%) showing evidence of natural infection and 38(19%) indicating a vaccine response. Hepatitis B core antibody (total anti-HBc) was present in 42(21%) of the participants, while 8(4%) had hepatitis B surface antigen (HBsAg), which is indicative of current infection. This study revealed intermediate prevalence, a high exposure rate and a low vaccination rate among the study population. There is a need for more effective intervention strategies among FSWs in the study area.
Minimally invasive surgical techniques for intracranial tumour lesions in paediatric neurosurgery: state of art
Authors:   FSAI Burdenko National Medical Research Center for Neurosurgery of the Ministry of Health of the Russian Federation, Safronova Elizaveta Igorevna , Kushel Yuriy Vadimovich ,   FSAI Burdenko National Medical Research Center for Neurosurgery of the Ministry of Health of the Russian Federation
Published: June 2022

After a long way of evolution in neurosurgical and intensive care technologies the high-end surgeries have become less challenging and survival rate has improved significantly. Planning a tumour surgery today means not only achieving a total removal but finding a less traumatic strategy that would not decrease quality of the patient’s life. A significant experience of using keyhole surgery, endoscopic assistance, and portal surgery has been obtained in paediatric department of Burdenko Neurosurgical Centre. This literature review is designed to reveal the current state of minimally invasive technologies for transcranial surgery of intraaxial tumours. Representation of the problem demanded a review of publications including original articles and systematic reviews over the last 10 years and some milestone publications.
Turismo de observação de aves: potencial de economia sustentável na Amazonia Paraense
Authors: Freitas Fernanda Natalia de Sá , Aleixo Danielson , Moraes-Ornellas Valeria dos Santos
Published: June 2022

A Amazônia é um dos ambientes mais biodiversos do planeta, o que encanta amantes da natureza do mundo inteiro. Ao mesmo tempo que também é um dos ambientes que mais sofrem com os impactos causados por ações antrópicas que ameaçam sua integridade e colocam em risco inúmeros ecossistemas naturais. A fim de parar ou reduzir os impactos observados, foram e estão sendo criadas Unidades de Conservação, porém, para que cumpram seu papel na conservação das espécies é necessário haver um processo de gestão participativa que promova as comunidades locais e dê a elas as condições e meios necessários para gerar renda por meio do uso sustentável dos recursos naturais. O estado do Pará abriga muitas espécies de aves belas e endêmicas, o que atrai a atenção de observadores de aves e abre possibilidade para haver incentivos e investimentos neste segmento do ecoturismo. Para isso, se faz necessário conhecer os diferentes atores que participarão deste processo, bem como, as dificuldades e adequações logísticas necessárias para que a atividade tenha sucesso. Buscando realizar esta avaliação, sete cidades foram visitadas no período de agosto a dezembro de 2021, em diferentes regiões do estado, o que permitiu traçar o perfil e conhecer um pouco das perspectivas dos diferentes atores sociais em relação a esta atividade. Além disso, como as aves são excelentes para despertar a curiosidade, por apresentarem cores, cantos e comportamentos atrativos e por serem relativamente fáceis de observar na natureza, o curso serviu tanto como uma forma de ampliar seus olhares para as possibilidades dentro do turismo quanto para despertarem para as belezas naturais que sempre estiveram ao seu redor e que pouco notavam. Este despertar para a beleza da natureza é fundamental para que as comunidades locais, os promotores de turismo e os gestores percebam e valorizem este produto turístico de grande importância para eles próprios: a biodiversidade. Mas, apesar do ponta pé inicial dado pelo estado para viabilizar esta atividade tão promissora, ressalta-se que não basta propor e elaborar roteiros turísticos se não houver acompanhamento a curto e longo prazo. Para que atividades de turismo ecológico tenham êxito, é fundamental que se tenha indicadores relevantes para avaliar e monitorar resultados, condições e impactos.
Aves do campus de Arraias, Universidade Federal do Tocantins: potencial para a Educação Ambiental e o ecoturismo
Authors: Amaral Alice Fátima , Oliveira Janeide Pereira de , Brandão Luiz Felipe da Cunha , Benites Maristela , Mamede Simone
Published: June 2022

Este trabalho tem como objetivo analisar e reconhecer a área da Universidade Federal do Tocantins UFT, campus Arraias como um hotspot para a observação de aves em área urbana e indicar a importância da avifauna para a Educação Ambiental e a prática do Ecoturismo. Para a determinação do hotspot para observação de aves foram considerados os indicadores propostos na literatura. Para os registros das espécies de aves foram utilizados métodos de ponto fixo e transecto linear. Na área do Campus e entorno imediato foram registradas 129 espécies de aves, envolvendo espécies residentes, migratórias e endêmicas do Cerrado.
A presença de Paulo Freire em trabalhos de Educação Ambiental Crítica que se articulam à Educação do Campo
Authors: Torres Juliana Rezende , Britto Néli Suzana Quadros
Published: June 2022

A Educação Ambiental Crítica, a Educação do Campo e a Pedagogia Freireana fundam-se em premissas que denunciam o modelo de organização capitalista que rege a produção e reprodução da vida em sociedade, visando anunciar a emancipação dos sujeitos. Esta pesquisa identificou artigos de Educação Ambiental Crítica articulados à Educação do Campo que têm Paulo Freire como referencial, tendo em vista explicitar o contexto em que o autor é situado nesta articulação. Foi realizada pesquisa bibliográfica em três periódicos de Educação Ambiental e três anais de eventos de Educação/Educação Ambiental, entre 2010 e 2019, e analisados nove artigos. Os dados revelaram que o referido autor se situa nos lócus formação de professores e práticas educativas na articulação entre Educação Ambiental e Educação do Campo, a partir das obras Pedagogia do Oprimido e Pedagogia da Autonomia.
Análise sobre a importância de trabalhar a Educação Ambiental nas escolas
Authors: Souza Marcio Henrique Francisco de
Published: June 2022

Em função da grande necessidade de se desenvolver um processo de tomada de consciência ambiental individual e coletiva, para tal desenvolvimento, torna-se necessária a importância de inserir a Educação Ambiental no ambiente escolar, de maneira que todos se mobilizem de forma efetiva. Diante dos problemas ambientais do mundo, a presente proposta visa demonstrar que o conhecimento dos conceitos do que seja Educação Ambiental, bem como, o estudo do seu histórico proporciona uma visão ampla e atual das principais questões ambientais, colaborando para que se possa implementar no ambiente escolar alternativas para sensibilizar alunos, professores e funcionários.
Avaliação de um processo de coprodução de conhecimento e engajamento de atores a partir de ferramentas da Educação Ambiental: práxis e ciência cidadã
Authors: Ávila Roseli de Freitas , Toniolo Maria Angelica , Maciel Lidiane , Branco Evandro Albiach
Published: June 2022

Este artigo apresenta uma análise sobre o processo formativo de um grupo de atores interessados na temática da Gestão dos Recursos Hídricos no estado de São Paulo, em especial, na Bacia do Paraíba do Sul. Tem como conceitos orientadores a pedagogia da práxis e a ciência cidadã. A metodologia é qualitativa e fundamenta-se em diferentes estratégias de pesquisa de campo. O intuito maior, além de analisar o processo formativo, é verificar a alteração da percepção ambiental dos atores participantes de um curso. Conclui-se que a experiência formativa oferecida pelo curso, fundada em metodologias participativas, produz efeitos positivos no engajamento dos atores envolvidos nos territórios de interesse.
A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification
Authors: Shen Shuwei , Xu Mengjuan , Zhang Fan , Shao Pengfei , Liu Honghong , Xu Liang , Zhang Chi , Liu Peng , Yao Peng , Xu Ronald X.
Published: June 2022

Objective and Impact Statement
. There is a need to develop high-performance and low-cost data augmentation strategies for intelligent skin cancer screening devices that can be deployed in rural or underdeveloped communities. The proposed strategy can not only improve the classification performance of skin lesions but also highlight the potential regions of interest for clinicians’ attention. This strategy can also be implemented in a broad range of clinical disciplines for early screening and automatic diagnosis of many other diseases in low resource settings.
Methods
. We propose a high-performance data augmentation strategy of search space 10
1
, which can be combined with any model through a plug-and-play mode and search for the best argumentation method for a medical database with low resource cost.
Results
. With EfficientNets as a baseline, the best BACC of HAM10000 is 0.853, outperforming the other published models of “single-model and no-external-database” for ISIC 2018 Lesion Diagnosis Challenge (Task 3). The best average AUC performance on ISIC 2017 achieves 0.909 (±0.015), exceeding most of the ensembling models and those using external datasets. Performance on Derm7pt archives the best BACC of 0.735 (±0.018) ahead of all other related studies. Moreover, the model-based heatmaps generated by Grad-CAM++ verify the accurate selection of lesion features in model judgment, further proving the scientific rationality of model-based diagnosis.
Conclusion
. The proposed data augmentation strategy greatly reduces the computational cost for clinically intelligent diagnosis of skin lesions. It may also facilitate further research in low-cost, portable, and AI-based mobile devices for skin cancer screening and therapeutic guidance.
Targeting the LSD1-G9a-ER Stress Pathway as a Novel Therapeutic Strategy for Esophageal Squamous Cell Carcinoma
Authors: Wang Hongxiao , Song Zijun , Xie Enjun , Chen Junyi , Tang Biyao , Wang Fudi , Min Junxia
Published: June 2022

Despite recent advances in the management and treatment of esophageal squamous cell carcinoma (ESCC), the prognosis remains extremely poor, and current nonsurgical treatment options are limited. To identify new therapeutic targets, we screened a curated library of epigenetic compounds using a panel of cancer cell lines and found that coinhibiting the histone demethylase LSD1 and the histone methyltransferase G9a potently suppresses cell growth; similar results were obtained by knocking down both LSD1 and G9a expression. Importantly, we also found that inhibiting LSD1 and G9a significantly decreased tumor growth in a xenograft mouse model with ESCC cell lines. To examine the clinical relevance of these findings, we performed immunohistochemical analyses of microarray profiling data obtained from human esophageal squamous cancer tissues and found that both LSD1 and G9a are upregulated in cancer tissues compared to healthy tissues, and this increased expression was significantly correlated with poor prognosis. Mechanistically, we discovered that inhibiting LSD1 and G9a induces cell death via S-phase arrest and apoptosis, and cotargeting ER stress pathways increased this effect both
in vitro
and
in vivo
. Taken together, these findings provide compelling evidence that targeting LSD1, G9a, and ER stress-related pathways may serve as a viable therapeutic strategy for ESCC.
Drug Treatment of Hydatid Cyst With Albendazole and Praziquantel in Humans
Authors: Garedaghi Yagoob , Sperança Márcia Aparecida , Ghimire Tirth Raj , Khan Wali , vahidbalan Mehdi
Published: June 2022

Introduction:The standard treatment for hydatid cyst is surgery, but in cases where there are multiple cysts in vital organs, treatment with drugs such as those of benzimidazole family (albendazole-mebendazole) will be substituted if the patient is at high risk for surgery. In this study, concomitant treatment of hydatid cyst with albendazole and an effective drug on protoscolices from the isoquinoline family called praziquantel was assessed in humans. Methods: In this study, 10 patients with multiple cysts were treated with albendazole 400 mg twice daily and praziquantel 40 mg twice daily for 3 months. Patients were followed for recurrence of lesions for an average of 18 months after the end of treatment. Results: A complete clinical improvement and a partial clinical improvement were observed in 7 cases (70%) and 3 cases (30%), respectively. Radiologically, there was a complete improvement in 6 cases (60%) and partial improvement in 4 cases (40%). Further, one of the patients underwent histopathological examination after the end of treatment, indicating the complete disappearance of the germ layer. Conclusion: The combined use of albendazole and praziquantel can be used as an alternative treatment in patients with hydatid cysts disseminated in vital organs or patients at high risk of surgery.
PERBANDINGAN MATRIKS PEMBOBOT ROOK DAN QUEEN CONTIGUITY DALAM ANALISIS SPATIAL AUTOREGRESSIVE MODEL (SAR) DAN SPATIAL ERROR MODEL (SEM)
Authors: AKOLO INGKA RIZKYANI
Published: June 2022

The spatial weighting matrix is very important to overview of the relationship between one location to another in the spatial regression. In this study, the authors compare the weighting matrix of queen contiguity and rook contiguity in the SAR and SEM models in stunting cases in Bone Bolango Regency, Gorontalo Province. The variables used are the number of IDL, the percentage of LBW, the amount of proper sanitation, the percentage of exclusively breastfed babies, and the number of poor people. The purpose of this study was to determine the factors that influence stunting in Bone Bolango Regency, compare the results of the analysis of the rook contiguity and queen contiguity matrices in the SAR and SEM models and determine the best model and weighting matrix in stunting modeling in Bone Bolango Regency. The results showed that the significant factor in the SAR model was the number of poor people, while the significant factors in the SEM model were the number of IDL, the number of proper sanitation, and the percentage of exclusively breastfed babies. In the SEM model, the p-value of queen contiguity is smaller than that of rook contiguity.The best model in this study is the SEM model.
PERBANDINGAN METODE LIFE TABLE DAN METODE KAPLAN MEIER PADA ANALISIS SURVIVAL PENDERITA STROKE DI RSUD ALOEI SABOE KOTA GORONTALO PADA AGUSTUS SAMPAI DENGAN DESEMBER 2019
Authors: POMALINGO DEWI ZULYANI , DJAKARIA ISMAIL , PAYU BOBY RANTOW
Published: June 2022

Penelitian ini bertujuan untuk mengestimasi fungsi survival pasien penderita stroke di RSUD Aloei Saboe kota Gorontalo bulan Agustus sampai dengan Desember 2019 menggunakan metode life table dan Kaplan Meier. Hasil estimasi keduanya dibandingkan dengan estimasi terbaik adalah yang menghasilkan nilai standar error terkecil. Hasil penelitian menunjukkan probabilitas survival pasien menggunakan estimasi life table adalah sebesar 0,8591 dan Kaplan Meier sebesar 0,8628. Berdasarkan perbandingan nilai standar error, dapat disimpulkan bahwa pada awal waktu survival, estimasi life table dan Kaplan Meier sama baiknya untuk menganalisis survival pasien. Namun untuk waktu survival yang semakin besar, estimasi Kaplan Meier menghasilkan nilai standar error yang lebih kecil dibandingkan estimasi life table.
Patologías y dependencias que provocan las redes sociales en los jóvenes nativos digitales
Authors: López Iglesias Matías , Tapia-Frade Alejandro , Ruiz Velasco Claudia María
Published: June 2022

Los jóvenes han crecido inmersos en la tecnología digital, por ello se les denomina nativos digitales. Deberían saber identificar la sintomatología de las nuevas enfermedades causadas por las plataformas digitales mejor que cualquier otra franja de edad. Metodológicamente, se han obtenido datos mediante cuestionario autoadministrado de 9 preguntas a una muestra de 192 centennials. Los resultados muestran que la mayoría no es consciente de haber sufrido patologías derivadas de ellas considerando falso que impacten en su salud mental. Sin embargo, algunos casos refieren síntomas relacionados con el abuso de las redes sociales. El mundo virtual puede provocar nuevas patologías cuya existencia es ignorada por la juventud. La principal conclusión es que, los altos porcentajes recogidos muestran que la gran mayoría de los posmilénicos han experimentado en alguna ocasión ansiedad, depresión e insomnio. Las redes sociales impactan directamente en la salud. El estudio refleja que los jóvenes desconocen la terminología de las patologías como son el cibermareo, el síndrome de la llamada imaginaria, la nomofobia o la cibercondria. Afortunadamente una mayoría de estos integrantes de la Generación Z son conscientes de que el abuso de las redes sociales puede crear adicción y pueden constituir una amenaza a su privacidad.
La publicación periodística como intervención psicológica en la cotidianeidad de la posdictadura
Authors: Ingui Patricia , Scherman Patricia
Published: June 2022

Se presentan una serie de intervenciones públicas realizadas por un grupo de profesionales entre 1998 y 2003 en la sección Psicología del periódico argentino Página 12. Estos escritos muestran algunos pasajes de la intervención psicológica en relación a las secuelas de la última dictadura en Argentina, dentro de la cotidianeidad de la pos dictadura. El análisis de las fuentes permitió reconocer los temas abordados, aspectos éticos y políticos de la intervención psicológica con alcances en el ámbito público, y posicionamientos ante la circulación de sentidos atribuidos a una naturalización de la violencia del genocidio que se permeaba en la cotidianeidad. El trabajo recupera estos aportes, realizados a los debates públicos que estaban teniendo lugar en el espacio social argentino, en aquel momento, donde se libraba una pugna entre los intentos de impunidad y los reclamos de memoria, verdad y justicia.
Synchronverters with fast current loops
Authors: Kustanovich Zeev , Shivratri Shivprasad , YIN HANG , Reissner Florian , Weiss George
Published: June 2022

 Virtual synchronous machines (VSM) are inverters that behave towards the power grid like synchronous generators. Hence, they can be used as grid forming inverters and they can support the grid with inertia, droops, fault ride-through and more. Synchronverters are a much studied type of VSM. In this paper we present several improvements and innovations to the synchronverter control algorithm. We offer a complete design procedure for this algorithm. One change is meant to mitigate the fact that earlier designs are very sensitive to grid voltage measurement errors and processing delay, which may cause harmonic distortion and fluctuating amplitude of the grid-side currents. We propose to include a fast current controller as the internal control loop of the inverter. The design of this current controller involves delicate issues of compensating the delays and eliminating the DC components of the currents. The new design enables also a natural way for distortion-less current limitation. We present a smooth start?up procedure. Our simulations and experiments show that the current controller leads to a dramatic reduction of the sensitivity of the VSM to measurement errors, processing delay and grid voltage imbalance. 
Impact of Predictive Battery Thermal Management for a 48V Hybrid Electric Vehicle
Authors: Miretti Federico , Anselma Pier Giuseppe , Spessa Ezio
Published: June 2022

Overheating of battery packs in electrified vehicles is detrimental to their lifetime and performance. Unfortunately, designing a control strategy that ensures battery protection without jeopardizing fuel economy is not a straightforward task.

In this paper, we investigate battery temperature-sensitive optimal energy management for a 48V mild-hybrid electric vehicle to prevent overheating with minimal fuel consumption increase. Indeed, this family of hybrid architectures is challenging due to the absence of an active cooling system.

In particular, we modeled a p0 parallel-hybrid with a 48V battery pack and we employed dynamic programming to numerically investigate the fuel economy capability while tracking the battery pack temperature.

First, we tuned a battery current-constrained powertrain control strategy in order to avoid battery overheating, which could be easily implemented on-board. Then, we implemented a predictive temperature-constrained strategy that exploits the a priori knowledge of driving conditions and temperature constraints to maximize fuel economy.

Results show that both strategies are able to meet the battery temperature constraints, although the predictive temperature-constrained control strategy outperforms the current-constrained strategy in terms of fuel economy. This case study demonstrates the theoretical benefits of a predictive battery thermal management for 48V mild hybrids.
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
Authors: de Curtò J. , de Zarzà I. , YAN Hong , Calafate Carlos T.
Published: June 2022

In this paper, we bring forward the use of the recently developed Signature Transform as a way to measure the similarity between image distributions and provide detailed acquaintance and extensive evaluations. We are the first to pioneer RMSE and MAE Signature, along with log-signature as an alternative to measure GAN convergence, a problem that has been extensively studied. We are also forerunners to introduce analytical measures based on statistics to study the goodness of fit of the GAN sample distribution that are both efficient and effective. Current GAN measures involve lots of computation normally done at the GPU and are very time consuming. In contrast, we diminish the computation time to the order of seconds and computation is done at the CPU achieving the same level of goodness. Lastly, a PCA adaptive t-SNE approach, which is novel in this context, is also proposed for data visualization.
Distributed discrete-time convex optimization with closed convex set constraints: Linearly convergent algorithm design
Authors: Luan Meng , Wen Guanghui , liu Hongzhe , huang tingwen , Chen Guanrong , yu wenwu
Published: June 2022

The convergence rate and applicability to directed graphs with interaction topologies are two important features for practical applications of distributed optimization algorithms. In this paper, a new kind of fast distributed discrete-time algorithms is developed for solving convex optimization problems with closed convex set constraints over directed interaction networks. Under the gradient tracking framework, two distributed algorithms are respectively designed over balanced and unbalanced graphs, where momentum terms and two time-scales are involved. Furthermore, it is demonstrated that the designed distributed algorithms attain linear speedup convergence rates provided that the momentum coefficients and the step-size are appropriately selected. Finally, numerical simulations verify the effectiveness and the global accelerated effect of the designed algorithms.
Deep-learning to map a benchmark dataset of non-amputee ambulation for controlling an open source bionic leg
Authors: Kim Minjae , Hargrove Levi
Published: June 2022

Powered lower limb prosthetic devices may be becoming a promising option for amputation patients. Although various methods have been proposed to produce gait trajectories similar to non-disabled individuals, implementing these control methods is still challenging. It remains unclear whether these methods provide appropriate, safe, and intuitive locomotion as users intend. This paper proposes a direct mapping of voluntary movement of a residual limb (i.e., thigh) to the desired movement of amputated limbs (i.e., knee and ankle) to control the prosthetic legs. The proposed model was learned with the gait trajectory of intact limb individuals from a publicly available biomechanics dataset and applied to control the prosthetic leg without post-tuning the network. Thus, the proposed method does not require the training time with amputation patients nor configuration time to use while providing a closely resembling gait trajectory of the intact limb. As preliminary testing, three able-bodied subjects participated in bypass tests. The proposed model accomplished intuitive and reliable level-ground walking at three different step lengths: self-selected, long- and short-steps. The results indicate that intact benchmark data can be directly used to train the model to control prosthetic legs.
Memoria e modello digitale. La costruzione di un sistema informativo per la salvaguardia del patrimonio architettonico diffuso dell’Upper Kama
Authors: Dell'Amico Anna
Published: June 2022

Following the European guidelines, research in the architecture sector has been committed to seeking open systems, which can be implemented in stages for structuring methodological protocols applicable to digitization to enhance Cultural Heritage. The H2020-RISE-PROMETHEUS project, coordinated by the University of Pavia, aims to define a multi-scalar digital information system to safeguard the historical memory of the heritage and promote Cultural Heritage Routes. That allows the dissemination of the heritage architectural diffuse of the European Cultural Heritage Routes, starting from the pilot case of the Upper Kama territory (Russia). The languages ​​of representation and the analysis processes of the elements result from an international collaboration between universities and companies in a critical, shared process of evaluating the criteria for optimizing infographic languages. The research results are explained in the information modeling protocol, structured based on an analytical approach of morphological, technological, and typological semantization, from the territorial level to the architectural scale, for the combined management of historical memory, information, and intervention on the work.
Knowledge, Attitude And Uptake Of Covid-19 Vaccine Among Health Care Workers Of University Of Maiduguri Teaching Hospital, Nigeria
Authors: Markus Reuben , Ugochukwu Chika , Umar Suleiman , Japhat Haruna Jonah , Haruna Habu
Published: June 2022

The COVID-19 pandemic continues to ravage the world, with Nigeria and Borno in particular being highly affected. A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by the healthcare workers as significant individual in the community. The objectives of this study were to assess the knowledge, attitude, anduptake of COVID-19 vaccines among healthcare workers in University of Maiduguri, teaching Hospital. Data was collected from 260 healthcare workers who were sampled using stratified sampling technique with a self-developed questionnaire. The collected data was analysed using SPSS Version 20.0 and presented in tables and charts. The result revealed a good knowledge of COVID-19 Vaccine among respondents (58.8%) with a positive attitude towards COVID-19 Vaccination (51.9%). However, uptake was low (47.69%) which was greatly affected by fear of side effects, fear of unknown and shortage of the vaccine. In conclusion, similar study can be conducted with a large sample to generalize the findings; and the same study can be conducted in different setting.
EXAMINING THE EFFECT OF GENERATOR LOAD SHARING PRACTICES ON GREENHOUSE GAS EMISSIONS FOR A SHIP
Authors: YİĞİT Kenan
Published: June 2022

In this paper, the issue of efficient operation of generators, which is one of the energy efficiency parameters in ship electricity systems, is discussed in terms of greenhouse gas emissions. In order to meet the same power needs on a bulk carrier ship, three different load sharing situations are assessed in which the other generator is run synchronously when the active generators reach 40%, 60%, and 80% load ratios. Thus, CO2, CH4, and N2O emissions from generators for each practice are analyzed depending on fuel consumption. The results show that emissions vary for certain power needs in each situation. Also, there was no change in emissions for some power needs in three situations. In addition, it was estimated that up to 22% emission reductions could be achieved, depending on the power needs of the ship, if the generators were run at an 80% load ratio instead of 40%.
KONYA TEKNİK ÜNİVERSİTESİ MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİNE AİT BİNALAR İÇİN ENERJİ VERİMLİLİĞİNİ ARTIRMAYA YÖNELİK ÖRNEK BİR ÇALIŞMA
Authors: GENÇOĞLU KORKMAZ Gülin , SAMANCI Ahmet
Published: June 2022

Dünyada ve ülkemizde artan enerji maliyetleri, fosil yakıtların tükeniyor olması, yenilenebilir enerji kaynaklarında da henüz istenen kurulu güç potansiyeline erişilememiş olması, enerjide dışa bağımlılık ve çevresel endişeler binalarda enerjinin verimli kullanımını zorunlu kılmıştır. Özellikle kamu kurum ve kuruluşlarından başlanmak üzere tüm yapılarda enerji tasarrufu yoluna gidilmesi, enerjinin verimli kullanılması ve hatta var olan enerjinin daha sonra kullanılmak üzere depolanması ülkemizin enerji verimliliği ve yönetimi konusunda üst sıralara ilerlemesine yardımcı olacaktır. Üniversitelerde enerjinin verimli kullanılması ile hem enerji maliyetlerinin üniversite bütçesi üzerindeki yükü hafifletilebilecek, hem de sürdürülebilir üniversite kriterleri için önemli bir adım atılabilecektir. Bu amaçla, bu çalışmada Konya Teknik Üniversitesi Mühendislik ve Doğa Bilimleri Fakültesi binasının (KTUN) enerji açısından mevcut durumu ortaya çıkarılmış ve enerji verimlilik potansiyeli incelenmiştir. Elde edilen sonuçlara göre, üniversitenin 2020-2021 yılı enerji tüketim değerinin sırasıyla 482 ve 502 Ton Eşdeğer Petrol (TEP) olduğu bununla birlikte yıllık CO2 salınımının 2020 yılında 135 toneşd.CO2 ve 2021 yılında 141 toneşd.CO2 olduğu belirlenmiştir. Bir başka deyişle bu rakamlar sırasıyla 1164 ton ve 1215 ton karbon ayak izine karşılık gelmektedir. Yapılan çalışmadan yola çıkılarak başta kamu kurum ve kuruluşlarında olmak üzere tüm yapılarda enerji mevzuatlarına göre enerji tasarrufu, enerji verimliliği ve yenilenebilir enerji kaynakları ile ilgili çalışmalara bir an önce başlanması ve gerekli önlemlerin alınması gerekmektedir.
Рядък случай на уртикария, асоциирана с вибрационна болест
Authors: Паскалев Петър , Дерменджиев Светлан
Published: June 2022

Едно от съвременните определения за уртикария я дефинира като състояние, което се характеризира с възникването на уртики, ангиоедем или и двете. Класифицира се като остра (с продължителност под 6 седмици) и хронична (над 6 седмици), която от своя страна се подразделя на спонтанна и индуцирана уртикария.

Вибрационната уртикария / ангиоедем е сред най-редките форми на хронично индуцираната уртикария. Може да бъде наследствена или придобита, като последната се среща по-често и понякога може да бъде професионално обусловена. Преобладава становището, че патогенетичният механизъм е свързан с неимунологична реакция. Терапията от първа линия включва неседативни антихистамини в конвенционални или по-високи дози. Професионалната експозиция на локални и общи вибрации, която обуславя вибрационната болест, може, макар и рядко, да бъде отключващ екзацербациите на хроничната уртикария фактор. При липса на точно диагностициране и адекватно лечение, честите обостряния на тази рядко срещана форма могат да влошат качеството на живот на пациентите.

Описаният от нас клиничен случай на асоциация между уртикария и вибрационна болест ще допринесе за подобряване на комплексния диагностично-лечебен алгоритъм при уртикарията, с цел по-широко познаване на редките ѝ форми, и по-благоприятно протичане на заболяването. Оптималната колаборация между алерголози, дерматолози, специалисти по професионални болести и общопрактикуващи лекари е необходима в подобни случаи за повишаване на качеството на медицинското обслужване, което ще доведе до по-добри резултати от проведените диагностично-терапевтични мероприятия.
Performance and organizational stressors in the junior-to-senior transition in football
Authors: Rye Andreas , Ransom Daniel , Littlewood Martin , Sæther Stig Arve
Published: June 2022

Both elite sport and the road to elite sport performance could be described as stressful. The junior-to-senior transition has proven to be difficult for many talented football players because of the often non-normative nature of the transition. The aim of the current study was to investigate junior football players perception of performance and organizational stressors in the junior-to-transition. Ten players (5 junior-elite, 5 junior non-elite) were inter-viewed, and the data were thematically content analysed. The highlighted performance stressors were pressure to perform, and preparations related to performance issues. Among organizational stressors were increased level of performance and uncertainty of outcome related to environmental issues. Difficulties related to dual career and prioritizing football before friends were related to personal issues, lack of coaching were leadership issues, and maladaptive communication were related to team issues. The overall findings in one of few studies on junior players in football indicate access to performance arenas, while lack a social affiliation to the senior team players and lack of feedback from the senior team coaches and lack a mastery arena including social support. The results from this would highlight the importance of adjusting stressors for players in the junior-to-senior transition in football.
EXPERIMENTAL INVESTIGATION AND ANALYSIS OF SURFACE ROUGHNESS PARAMETERS IN HARD TURNING OF AISI D2 STEEL USING COATED CARBIDE TOOLS
Authors: K Vatsal Maisuriya , Ruchit Kantharia  , Rathod K B
Published: June 2022

In the present work, hard turning of AISID2 Steel were carried out on CNC turning centre using TiCN coated carbide tools to investigate the effect of cutting parameters on surface roughness parameters (Ra, Rq, Rz) The statistical models were developed using the Taguchi method to find the effect of cutting parameters (speed, feed, and depth of cut) on surface roughness parameters. L9 orthogonal array is designed for the experiments and experiments were carried out for one, two and three passes to evaluate the optimum roughness value of the surface roughness parameters. It was observed from the results that the feed rate played an important role with surface parameters.
Pengaruh Media Video Animasi Melalui Model Pembelajaran Inkuiri Terbimbing Terhadap Hasil Belajar Siswa
Authors: Uroiva Anisa , Agustiningsih  , Mahmudi Kendid
Published: June 2022

The application of video media in learning that is less than optimal is due to one of the reasons for the limited facilities. Learning media as a means of distributing information to students cannot be obtained by students optimally. This study describes the impact produced by animated video learning media on students' cognitive learning outcomes. The aim is to determine the effect on student cognitive learning outcomes caused by animated video media whose use is supported by a guided inquiry learning model. The type of research is experimental with the design that is used as a reference is the non-equivalent control group design. The subjects used were students of SDN 1 Pesanggaran with class VA and class VB being the observed sample. The experimental activity carried out was the prvision of treatment in the form of learning that utilized animated video media with a guided inquiry learning model as a learning style. After the research was conducted, the results of the students’ initial and final tests (pre and post) were obtained. Each result of the initial ability test of students from the two classes is the control class = 61,84 while the experimental class = 58,01. After the experimental class was treated and the control class was not, the posttest result were obtained, namely the control class was 75,61 while the experimental class was 82,05. Based on the t-test, it is known that the value of tcount=4,545 and the price of ttabel=1,665. Referring to the calculation of the t-test, namely tcount > ttable, the result of the decision is the use of animated video media wich is supported by a guided inquiriy learning model that has an impact on students’ cognitive learning outcomes. there is an effect of using animated video media through guided inquiry learning models on students’ cognitive learning outcomes. Then the calculation of the relative effectiveness value shoews that the application of animated video media through the guided inquiry learning model is relatively effective at 57%.