bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modified OOK in DWDM-FSO Systems Under Atmospheric Turbulence Channel and Interchannel Crosstalk
Authors: Elsayed Ebrahim E. 
Published: April 2021

Abstract
This paper presents designing and analysis using a dense wavelength division multiplexing free-space optical (DWDM-FSO) communication systems and shows the noise effects, interchannel crosstalk, and atmospheric turbulence in the weak and strong turbulence with an on-off keying (OOK) modulation. Numerical results show error floor occurs in the DWDM-FSO link using an OOK and adaptive detection threshold.
Neuropsychiatric Score for Early Detection of Mild Cognitive Impairment of Elderly Populations in The Community
Authors: Pandhita Gea , Darwin Prasila , Lakhsmi Bety 
Published: April 2021

Abstract
Background: The increase in the elderly population in a developing country like Indonesia will increase people with cognitive impairment. Mild Cognitive Impairment (MCI) is the most common cognitive impairment among the elderly. However, some health workers are not satisfied with the current tools for detecting MCI in the community.Objective: This study intends to develop a novel, easy, and accurate method for early detection of MCI of the elderly population in the community in Indonesia.Methods: This study analyzed the database of 110 elderly population in East Jakarta, Indonesia. We explored several brief neuropsychiatric battery and developed a neuropsychiatric score to detect MCI.Results: The abnormal verbal semantic fluency test (p = 0.000), the existence of subjective memory complaints (p = 0.007), and low education level (p = 0.049) were found to be good predictors to detect MCI. The neuropsychiatric score, a combination of those variables, with a cut-off point of 2, has good accuracy to detect MCI (Sensitivity = 91.20%; Specificity = 78.9%).Conclusion: The neuropsychiatric score is a novel, easy, and accurate method for early detection of MCI of the elderly population in the community in Indonesia.
SARS-CoV-2 receptor binding domain-specific antibodies activate platelets with features resembling the pathogenic antibodies in heparin-induced thrombocytopenia
Authors: Zhu Wen , Zheng Yongwei , Yu Mei , Wei Jianhui , Zhang Yongguang , Topchyan Paytsar , Nguyen Christine , Janecke Rae , Kreuziger Lisa Baumann , White Gilbert C. , Hari Parameswaran , Aster Richard , Cui Weiguo , Jobe Shawn , Graham Mary Beth , Wang Demin , Wen Renren 
Published: April 2021

Abstract
Severe COVID-19 is associated with unprecedented thromboembolic complications. We found that hospitalized COVID-19 patients develop immunoglobulin Gs (IgGs) that recognize a complex consisting of platelet factor 4 and heparin similar to those developed in heparin-induced thrombocytopenia and thrombosis (HIT), however, independent of heparin exposure. These antibodies activate platelets in the presence of TLR9 stimuli, stimuli that are prominent in COVID-19. Strikingly, 4 out of 42 antibodies cloned from IgG1+ RBD-binding B cells could activate platelets. These antibodies possessed, in the heavy-chain complementarity-determining region 3, an RKH or Y5 motif that we recently described among platelet-activating antibodies cloned from HIT patients. RKH and Y5 motifs were prevalent among published RBD-specific antibodies, and 3 out of 6 such antibodies tested could activate platelets. Features of platelet activation by these antibodies resemble those by pathogenic HIT antibodies. B cells with an RKH or Y5 motif were robustly expanded in COVID-19 patients. Our study demonstrates that SARS-CoV-2 infection drives the development of a subset of RBD-specific antibodies that can activate platelets and have activation properties and structural features similar to those of the pathogenic HIT antibodies.
Ischemic stroke prevention.
Authors: Kanteluk Artur Andrzej , Krajewska-Kułak Elżbieta 
Published: April 2021

Abstract
Health prophylaxis is the most effective way to reduce the incidence of diseases, and the knowledge of factors predisposing to the increase in the incidence of a given disease directs actions aimed at maintaining health. The proprietary stroke prevention program was used, which consisted in introducing dietary changes, health education and increasing the physical activity of the respondents. At quarterly intervals, each examined person was measured: blood pressure, glucose level, total cholesterol and its fractions, triglycerides, sodium and potassium levels, prothrombin time (PT), INR, PT activity, INR. The study included 40 randomly selected women (the research and control group consisted of 20 people) aged 40–60 years from the Michałowo Commune in the Białystok poviat. Additionally, an interview was collected with the completion of the proprietary questionnaire. The most important conclusions are: people aged 40–60 are the group most at risk of stroke; stroke prevention significantly reduces the likelihood of developing a stroke; normalization of test results (in the experimental group there was a decrease in body weight, normalization of blood pressure, increase in HDL level) improves the biopsychosocial state. The analysis performed is a sample and it is recommended to repeat the study on a large population.
Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico
Authors: Mendoza-Cano O. , Aquino-Santos R. , López-de la Cruz J. , Edwards R. M. , Khouakhi A. , Pattison I. , Rangel-Licea V. , Castellanos-Berjan E. , Martinez-Preciado M. A. , Rincón-Avalos P. , Lepper P. , Gutiérrez-Gómez A. , Uribe-Ramos J. M. , Ibarreche J. , Perez I. 
Published: April 2021

Abstract
Urban flooding is one of the major issues in many parts of the world, and its management is often challenging. One of the challenges highlighted by the hydrology and related communities is the need for more open data and monitoring of floods in space and time. In this paper, we present the development phases and experiments of an Internet of Things (IoT)-based wireless sensor network for hydrometeorological data collection and flood monitoring for the urban area of Colima-Villa de Álvarez in Mexico. The network is designed to collect fluvial water level, soil moisture and weather parameters that are transferred to the server and to a web application in real-time using IoT Message Queuing Telemetry Transport protocol over 3G and Wi-Fi networks. The network is tested during three different events of tropical storms that occurred over the area of Colima during the 2019 tropical cyclones season. The results show the ability of the smart water network to collect real-time hydrometeorological information during extreme events associated with tropical storms. The technology used for data transmission and acquisition made it possible to collect information at critical times for the city. Additionally, the data collected provided essential information for implementing and calibrating hydrological models and hydraulic models to generate flood inundation maps and identify critical infrastructure.
Effect of organic loading on phosphorus forms transformation and microbial community in continuous-flow A2/O process
Authors: Li Yajing , Wu Yaping , Wang Shaopo , Jia Liyuan 
Published: April 2021

Abstract
A continuous-flow Anaerobic/Anoxic/Oxic (A2/O) system was operated at different organic concentrations to systematically investigate the effect on the nutrient removal, secretion characteristics of extracellular polymer, phosphorus forms transformation and changes in functional flora in this system. The results showed that high organic loading was more conducive to promote the secretion of extracellular polymeric substance (EPS), the increase of polysaccharide content was more obvious compared with protein, the impact of organic loading on the components of loosely bound EPS (LB-EPS) was higher than that of tight-bound EPS (TB-EPS). Phosphorus in sludge floc mainly existed in the form of inorganic phosphorus (IP), and IP mainly existed in the form of apatite inorganic phosphorus (AP). High organic load showed higher phosphorus storage in EPS, and the phosphorus content in EPS was positively correlated with the content of EPS. Non-apatite phosphorus (NAIP) content played an important role in the extracellular dephosphorization. The abundance of Nitrosomonas and Nitrospira responsible for nitrification decreased with the increase in organic loading. The group of denitrifiers was large, and Azospira was the most abundant genus among them. Dechloromonas, Acinetobacter, Povalibacter, Chryseolinea and Pirellula were the functional genera closely associated with phosphorus removal.
Selecting the best electron donor and operational temperature for the rapid biotransformation of the insensitive munitions compound 2,4-dinitroanisole (DNAN) by anaerobic sludge
Authors: Melo Natanna , Menezes Osmar , Paraiso Matheus , Florêncio Lourdinha , Kato Mário T. , Gavazza Sávia 
Published: April 2021

Abstract
2,4-Dinitroanisole (DNAN) is a toxic compound increasingly used by the military that can be released into the environment on the soil of training fields and in the wastewater of manufacturing plants. DNAN's nitro groups are anaerobically reduced to amino groups by microorganisms when electron donors are available. Using anaerobic sludge as the inoculum, we tested different electron donors for DNAN bioreduction at 20 and 30 °C: acetate, ethanol, pyruvate, hydrogen, and hydrogen + pyruvate. Biotic controls without external electron donors and abiotic controls with heat-killed sludge were also assayed. No DNAN conversion was observed in the abiotic controls. In all biotic treatments, DNAN was reduced to 2-methoxy-5-nitroaniline (MENA), which was further reduced to 2,4-diaminoanisole (DAAN). Ethanol or acetate did not increase DNAN reduction rate compared to the endogenous control. The electron donors that caused the fastest DNAN reductions were (rates at 30 °C): H2 and pyruvate combined (311.28 ± 10.02 μM·d−1·gSSV−1), followed by H2 only (207.19 ± 5.95 μM·d−1·gSSV−1), and pyruvate only (36.35 ± 2.95 μM·d−1·gSSV−1). Raising the temperature to 30 °C improved DNAN reduction rates when pyruvate, H2, or H2 + pyruvate were used as electrons donors. Our results can be applied to optimize the anaerobic treatment of DNAN-containing wastewater.
Investigations into Fibre Optics and Polymer Coatings for Sensing of Groundwater Pollutants
Authors: Gretton Michael 
Published: April 2021

This presentation will cover a number of experiments undertaken by the author in the Loock Group (Department of Chemistry, Queen’s University), which contributed to an ongoing research project to develop a field deployable water sensor for monitoring of pollutants in ground water. The author’s investigations involved collaboration with graduate students and scientists from three Chemistry research groups, using apparatus and instrumentation such as a refractometer for measuring the refractive index of polymer mixtures under different ambient conditions; long­period gratings (LPGs) ‘written into’ optical fibre (125 &#956;m diameter); an optical spectrum analyser; a dip­coating machine; as well as scanning electron microscope images of optical fibre samples. The focus of this research was the development and characterization of coatings that increase the sensitivity of the sensor head. Results and conclusions from tests of different polymer coatings on LPGs and coated as films on silica wafers, responding to different organic compounds, will be presented. The author’s experiences and insights gained in the process of scientific inquiry will also be discussed
Strategies To Integrate Community Engagement In Medical Student Education
Authors: Chandratre Sonal , Norrbom Corina , Zeman Christopher , Prunuske Amy 
Published: April 2021

Community engagement during medical education can assist in helping students to obtain the competencies necessary to be a successful community-centered physician. There is an increasing need for physicians to learn about community issues and to understand diverse community perspectives to more effectively improve the health of the community. The necessity of community engagement in medical education to address society’s health challenges is emphasized across the globe. In this article, authors share 12 tips for successfully implementing community engagement in medical student education. The tips were based on a comprehensive literature review and the authors’ experiences developing and implementing a community-engagement program, which incorporates a required two-year community-engaged scholarly project.
Pengaruh Musik Pop Terhadap Hasil Belajar Siswa SMA Kelas XI Pada Topik Barisan Dan Deret
Authors: Haque Auliaul , Sari Ika Kurnia , Amin Siti M 
Published: April 2021

Abstrak — Pada penelitian ini memiliki tujuan untuk mengetahui apakah musik pop berpengaruh signifikan terhadap hasil belajar matematika pada siswa SMA. Penelitian ini dilakukan pada siswa Kelas XI SMAN 1 Pamekasan semester Genap Tahun Pelajaran 2019/2020 pada materi aplikasi barisan dan deret. Jenis penelitian ini berupa eskperimen dengan rancangan penelitian Post-test Only Control Design. Teknik pengumpulan data yang gunakan adalah post-test berupa tes hasil belajar dengan lima soal uraian. Kelas eksperimen dan kelas kontrol diuji homogenitas terlebih dahulu menggunakan data nilai ulangan sebelumnya. Kemudian diperoleh bahwa kedua kelas homogen. Pada perhitungan nilai post-test dengan SPSS diketahui bahwa nilai sinignifikansi < α yaitu sebesar 0,047 sedangkan nilai α = 0,05, yang menandakan bahwa musik pop berpengaruh signifikan terhadap hasil belajar. Hasil belajar siswa yang diperoleh, menunjukkan adanya perbedaan yang signifikan pada kelas eksperimen dan kelas kontrol. Kelas eksperimen memiliki rata-rata hasil belajar yang lebih tinggi yaitu sebesar 84,61 daripada kelas kontrol yaitu sebesar 76,16. Berdasarkan data hasil penelitian, dapat disimpulkan bahwa musik pop berpengaruh secara positif terhadap hasil belajar matematika siswa sehingga dapat digunakan sebagai alternatif strategi pembelajaran.Kata kunci: Musik Pop, Hasil Belajar Siswa, Barisan dan Deret Abstract — This study aims to determine whether pop music has an effect on Mathematics’ student learning outcomes. This research was conducted of Class XI at SMAN 1 Pamekasan of sequence and series application matter. This research was experimental research with a Post-test Only Control Design. The technique to collect data used a post-test that consisting of five descriptive questions. The experimental class and the control class were homogeneity tested first using the previous test data. Then it is obtained that both classes are homogeneous. In the calculation of the post-test value with SPSS, it is known that the significance value <α is 0.047 while the value of α = 0.05, which indicates that pop music has a significant effect on learning outcomes. There are differences in significant learning outcomes in the experimental class and the control class. The experimental class had a higher average learning outcome of 84.61 than the average of the control class of 76.16. Based on research data, it can be concluded that pop music has a positive effect on student mathematics learning outcomes so it can be used as an alternative learning strategy.Keywords: Pop Music, Learning Outcomes, Sequence and Serie
Perbandingan Algoritma Machine Learning dalam Menilai Sebuah Lokasi Toko Ritel
Authors: Kristiawan Kristiawan , Widjaja Andreas 
Published: April 2021

Abstract — The application of machine learning technology in various industrial fields is currently developing rapidly, including in the retail industry. This study aims to find the most accurate algorithmic model so that it can be used to help retailers choose a store location more precisely. By using several methods such as Pearson Correlation, Chi-Square Features, Recursive Feature Elimination and Tree-based to select features (predictive variables). These features are then used to train and build models using 6 different classification algorithms such as Logistic Regression, K Nearest Neighbor (KNN), Decision Tree, Random Forest, Support Vector Machine (SVM) and Neural Network to classify whether a location is recommended or not as a new store location.
Keywords— Application of Machine Learning, Pearson Correlation, Random Forest, Neural Network, Logistic Regression.
Árboles de decisión para la evaluación del riesgo biológico de procesos biofarmacéuticos. //Decision trees for the biological risk assessment in biopharmaceutical processes.
Authors: Novoa-Hernández Pavel , Cobos-Valdes Dailín , Samaniego-Mena Eduardo , Novoa-Pérez Milvio 
Published: April 2021

En el presente trabajo se propone un nuevo modelo para la evaluación del riesgo biológico en procesos biofarmacéuticos. La propuesta extiende un modelo existente, aportando como principal novedad el tratamiento de las determinaciones de los niveles de consecuencia y probabilidad de riesgo, como problemas de clasificación supervisada. Específicamente, se obtuvieron modelos de clasificación basados en árboles de decisión que poseen como ventajas más importantes: 1) un número menor de indicadores para la determinación de consecuencias y probabilidades, 2) un orden de medición de los indicadores, basado en la importancia de los mismos. Con el objetivo de analizar las bondades del nuevo modelo, se consideraron tres casos de estudio relacionados con procesos farmacéuticos reales. En comparación con el modelo anterior, el nuevo ofrece resultados similares, pero facilitando notablemente el proceso de evaluación del riesgo biológico. AbstractA new model for assessing biological risk in biopharmaceutical process is proposed in the present work. This proposal extends an existing model including the handling of the consequence and probability levels computations as main novelty, and also as supervised classification problems. Specifically, two classification models based on decision trees were obtained, which gives as major advantages: 1) a lower number of indicators for the determination of consequence and probabilities, and 2) an order of measurement of the related indicators. In order to analyze the benefits of the new model, three real pharmaceutical processes were considered as cases studies. In comparison with the previous model, the new one offers similar results, but significantly facilitating the biological risk assessment process.
Incorporación de los saberes ancestrales en la educación ordinaria.//Incorporation of ancestral knowledge in ordinary education.
Authors: Suárez-Guerra Pablo Alfredo 
Published: April 2021

El presente trabajo discute esenciales fundamentos históricos, antropológicos, económicos e ideológicos del modo de producción de conocimiento a partir del modo de producción de vida general del ser humano, a fin de cuestionar las matrices de la hegemonía epistemológica racionalista de la modernidad capitalista, que ancla su razón de ser en una estructura económico-política dominante que destruye material e intelectualmente al Otro para construirlo como objeto dominado y de conocimiento, lo cual se traduce en el posicionamiento centenario de una dicotomía jerárquica conocimiento/”saberes ancestrales”, y realiza, finalmente, algunas sugerencias respecto de la incorporación de los denominados saberes ancestrales en la educación ordinaria. Con base en las premisas críticas del materialismo histórico de Karl Marx y la filosofía y la ética de la liberación de Enrique Dussel, entre otros, se apunta brevemente la necesidad de replantear el problema de la validación de todo saber o conocimiento en la vida, lo cual implica subvertir las bases epistemológicas de las diversas disciplinas con base en un diálogo teórico-práctico intercultural en equidad, y los fundamentos económicos, éticos, políticos e ideológicos que nutren tales bases y que destruyen, invisibilizan, discriminan e instrumentalizan las producciones materiales e intelectuales contrarias o contradictorias al statu quo del capital. AbstractThis paper discusses essential historical, anthropological, economic and ideological foundations of the mode of production of knowledge from the general mode of production of life of the human being, in order to question the matrices of the epistemological rationalist hegemony of capitalist modernity, which anchors its raison d'être in a dominant economic-political structure that materially and intellectually destroys the other in order to construct it as a dominated and knowledge object, which translates into the centenary positioning of a hierarchical knowledge/"ancestral knowledge" dichotomy, and finally makes some suggestions regarding the incorporation of so-called ancestral knowledge into ordinary education. Based on the critical premises of Karl Marx's historical materialism and Enrique Dussel's philosophy and ethics of liberation, among others, the need to rethink the problem of the validation of all knowledge or knowledge in life is briefly pointed out, which implies subverting the epistemological bases of the diverse disciplines based on an intercultural theoretical-practical dialogue in equity, and the economic, ethical, political and ideological foundations that nourish such bases and that destroy, invisibilize, discriminate and instrumentalize the material and intellectual productions contrary or contradictory to the status quo of capital.
CARACTERIZACIÓN MECÁNICA DE SUELOS DEL PERFIL COSTERO ENTRE ANCÓN Y ANCONCITO
Authors: Moreno-Alcívar Lucrecia , Muñoz-Rosado Mariela , Ramírez-Palma Richard 
Published: April 2021

Los suelos que conforman el perfil costero entre las parroquias de Ancón y Anconcito de la Provincia de Santa Elena, tienen rasgos geomorfológicos de acantilados de aproximadamente 40 metros de altura junto al mar. En esta zona se mantiene una explotación petrolera marginal, y desde la última década se han producido asentamientos humanos no consolidados sin servicios básicos como de agua potable, alcantarillado sanitario y pluvial, que han ocasionado problemas de estabilidad de los suelos en la zona descrita. Esta inestabilidad también tiene su génesis con la formación de grietas en los suelos de fundación relacionadas con los cambios volumétricos, erosión y dispersión que dependen de la mineralogía de los suelos.
Debido a la falta de estudios Geotécnicos en el sector, se realizaron actividades como: recopilación de datos de la estructura geológica, recorridos en la zona de estudio y exploración del subsuelo con el método de calicatas a cielo abierto para extraer muestras con la que se efectuaron los ensayos de laboratorio para caracterizar el suelo desde sus propiedades mecánicas y de su mineralogía. Obteniendo así los parámetros de resistencia al cortante indispensables para el análisis de estabilidad de Talud y con estos valores se modeló el deslizamiento ocurrido en el año 2010 en el barrio 2 de febrero ubicado en el cantón Salinas, en el programa de GEOSLOPE argumentando la veracidad de los parámetros de resistencia al cortante obtenidos.