bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Multimedia Pembelajaran Pada Materi Bioteknologi Menggunakan Program Autoplay
Authors: Anantyarta Primadya , Sholihah Fatikhatun Nikmatus
Published: October 2020

Multimedia sebagai salah satu media sangat penting digunakan sebagai inventaris media dalam pembelajaran. Pengembangan multimedia dengan menggunakan program bernama Autoplay ini sangat membantu baik guru maupun dosen dalam mewadahi materi yang salah satunya adalah Bioteknologi. Metode dalam mengembangkan multimedia ini memiliki 5 tahap yaitu Analysis, Design, Development, Implementation, dan Evaluation. Namun dalam pengembangan dapat dilaksanakan terlebih dahulu sampai tahap ke 3. Pasca mengembangkan produk multimedia, validasi dilakukan oleh ahli materi bioteknologi dan ahli media pembelajaran pada multimedia tersebut untuk dianalisis dan diambil kesimpulan validitas produk. Tujuan dari penelitian ini adalah untuk mengembangkan suatu media pembelajaran berbasis teknologi informasi yang menghindari penggunaan kertas dalam penggunaannya dan sesuai era digital 4.0. Hasil validasi multimedia ini oleh ahli materi Bioteknologi mendapatkan nilai 75% dengan kriteria valid dan dapat digunakan dengan sedikit revisi pada validasi tahap pertama, serta mendapatkan nilai 90,62% dengan kriteria sangat valid dan dapat digunakan tanpa revisi pada validasi kedua. Hasil validasi media pembelajaran mendapatkan nilai 94,4% dengan kriteria sangat valid dan dapat digunakan dengan sedikit revisi.
Assessment of Genetic Divergence in Long Day Onion (Allium cepa L.) through Principal Component and Single Linkage Cluster Analysis
Authors: S R Singh , N Ahamed , K K Srivastava , D Kumar , S Yousuf
Published: October 2020

To assess the nature and magnitude of genetic diversity in long day onion germplasm by using the principal component analysis and single linkage cluster analysis an experiment was carried out with 34 onion genotypes. High coefficient of variation with wide range in traits indicated an appreciable variability in germplasm. Genotypes were classified into seven principal components having Eigen value > 1, cumulatively accounted for 83.87% of total variability. Principal Component - I contributed for 24.73% of total variation for followed by principal component-II (15.27%). PC-I had high positive loading for bulb weight (0.401), marketable yield (0.338), total bulb yield (0.401) and PC-II had high positive loading for plant height (0.412), PC-III for high T.S.S. (0.276) PC -IV for A grade bulbs (0.436), PC-V for polar diameter of bulbs (0.514), PC-IV negatively loaded with purple blotch (-0.461) and PC-VII for narrow neck thickness (-0 .515). Plotting PC-I aganist PC-II differenciated CITH-O-13, CITH-O-4, CITH-O-22, CITH-O-19, CITH-O-9, CITH-O-6 and CITH-O2 as most divergent genotype.On the basis of single linkage cluster means cluster-I was most importent for average bulb weight, minimum bolters, high marketble bulb percentage high marketable and total bulb yield whereas cluster -II was important for maximum nuber of leaves/plant and minimum neck thicknes. Highest inter-cluster distance was observed between cluter II and Cluster-I(873.5% ).Most divergent genotypes with high inter cluter distance could be the most appropriate parents for crop impovement in onion.
Pengaruh Inventory Turnover Dan Current Ratio Terhadap Return On Assets Pada Perusahaan Sub Sektor Semen
Authors: Cahyani Bekti Mega , Kosasih Kosasih
Published: October 2020

Penelitian ini dilakukan pada perusahaan sub sektor semen yang terdaftar di Bursa Efek Indonesia. Tujuan penelitian ini adalah untuk mengatahui, menganalisis, dan menjelaskan dampak antara dua variabel yaitu inventory turnover dan current ratio terhadap return on assets. Metode dalam penelitian ini yaitu metode kuantitatif dengan pendekatan deskriptif dan verifikatif. Data dalam penelitian ini dianalisis dengan analisis regresi linier berganda dengan software SPSS 24 dan uji hipotesis menggunakan uji F dan uji T. Hasil penelitian menunjukan bahwasecara parsial inventory turnover tidak berpengaruh dan tidak signifikan terhadap return on assets, secara parsial current ratio berpengaruh signifikan terhadap return on assets, secara simultan inventory turnover dan current ratio berpengaruh terhadap return on assets pada perusahaan sub sektor semen yang terdaftar di Bursa Efek Indonesia. Berdasarkan hasil penelitian ini, perusahaan harus mampu menjaga dan meningkatkan laba serta memanfaatkan sumber daya yang dimiliki secara optimal.Kata Kunci: Inventory Turnover, Current Ratio, dan Return On Asset.
FILOSOFIA, BIOÉTICA E ECOLOGIA: PERSPECTIVAS E CONTRIBUIÇÕES À ECOTEOLOGIA CONTEMPORÂNEA
Authors: Silva Nelson Maria Brechó , Vale Tiago Gurgel , Junior Agnaldo Costa , Delfino Claudio Antonio
Published: October 2020

O presente artigo pretende analisar a íntima integração entre a qualidade da vida humana e a qualidade da vida de toda a natureza humana. A metodologia desta pesquisa envolve um diálogo com a Filosofia, a Bioética e a Ecologia para extrair pistas ao pensamento ecoteológico. Nesse sentido, busca-se, num primeiro momento, uma análise filosófica aristotélica acerca da substância e da qualidade para proporcionar um substrato de sustentação à concepção de pessoa humana. Assim, num segundo passo, apresentam-se o conceito da pessoa e da sua dignidade a partir dos estudos da Bioética, a fim de sublinhar o valor inviolável da pessoa e, inclusive, da dignidade humana a partir da reflexão Dignitas Personae. O terceiro aspecto a ser trabalhado se dirige na linha da articulação que o Papa Francisco realiza na concepção de Ecologia Integral no qual apresenta na Laudato Si’ uma Ecologia da vida cotidiana fundamentada no princípio do bem comum relacionado ao respeito pela pessoa humana enquanto tal. Por fim, numa quarta etapa, destaca-se a possibilidade da ligação entre a qualidade de vida humana e a qualidade de vida de todo o ecossistema. Para tanto, desenvolve-se uma análise ecoteológica para afirmar que toda qualidade de vida se baseia e se realiza sobre a substância, em outras palavras, é necessário levar em conta a pessoa concreta. Por isso, ao falar da qualidade de vida humana, pode-se perceber a sua relação com todo o ecossistema, pois tudo está interligado e toda a Criação proveniente das mãos de Deus.
Prevalence of forward head posture and its impact on the activity of daily living among students of Adesh University – A cross-sectional study
Authors: Singh Sutantar , Kaushal Kavita , Jasrotia Smriti
Published: October 2020

Objectives:

The aims and objectives of the study were to find the prevalence of forward head posture and to find its impact on activities of daily living in students of Adesh University.

Materials and Methods:

After the approval from Ethical Committee of Adesh University Survey study was done. A total of 200 subjects were taken according to the inclusion criteria, i.e., craniovertebral angle <53° from Adesh University, Bathinda by convenient sampling. CV angle was measured by knee registry application, and those who fit under inclusion criteria were given a Northwick park neck pain questionnaire to fill. Filled questionnaires were collected from the subjects.

Results:

The data of 200 subjects was analyzed and it is found that out of 200 subjects, 146 were having forward head posture, whereas 54 were having normal head posture. The 73% prevalence of forward head posture was found in students. The most of the students were having mild or no pain and numbness in the day and during sleeping. Out of students who have reported moderate or severe neck pain, 8.21% shows that they were having pain during the whole day. The students who reposted pain 54.79% show mild pain and 26.02% showed moderate pain while reading and watching TV.

Conclusion:

It is concluded from the results of this study that there is 73% prevalence of FHP that affects only a little or no activity of daily living.
Non-surgical management of periapical lesions with triple antibiotic paste: A case reports
Authors: Singla Munish , Garg Iyana , Goyal Vandana , Kaur Harleen , Mittal Litik
Published: October 2020

Sterilization of root canal space is foremost for the success of the endodontic treatment which is usually carried out with intracanal irrigants and medicaments. Triple antibiotic paste (metronidazole, ciprofloxacin, and minocycline) is used to achieve sterilization and healing of periradicular area. In the present case report, the triple antibiotic paste was used for non-surgical management of periapical lesion for 3 weeks. After 3 weeks, the tooth became asymptomatic that was then obturated. Hence, it is confirmed that conventional root canal treatment, along with intracanal medicaments (triple antibiotic paste), can non-surgically manage the periapical lesions and further promotes healing.
Thermodynamics of the interaction between the spike protein of severe acute respiratory syndrome- coronavirus-2 and the receptor of human angiotensin converting enzyme 2. Effects of possible ligands
Authors: Garcia-Iriepa Cristina , Hognon Cecilia , Francés-Monerris Antonio , Iriepa Isabel , Miclot Tom , Barone Giampaolo , Monari Antonio , Marazzi Marco
Published: October 2020

Since the end of 2019, the coronavirus SARS-CoV-2 has caused more than 180,000 deaths all over the world, still lacking a medical treatment despite the concerns of the whole scientific community. Human Angiotensin-Converting Enzyme 2 (ACE2) was recently recognized as the transmembrane protein serving as SARS-CoV-2 entry point into cells, thus constituting the first biomolecular event leading to COVID-19 disease. Here, by means of a state-of-the-art computational approach, we propose a rational evaluation of the molecular mechanisms behind the formation of the complex and of the effects of possible ligands. Moreover, binding free energy between ACE2 and the active Receptor Binding Domain (RBD) of the SARS-CoV-2 spike protein is evaluated quantitatively, assessing the molecular mechanisms at the basis of the recognition and the ligand-induced decreased affinity. These results boost the knowledge on the molecular grounds of the SARS-CoV-2 infection and allow to suggest rationales useful for the subsequent rational molecular design to treat severe COVID-19 cases.
Prediction of Chemical Reaction Yields using Deep Learning
Authors: Schwaller Philippe , Vaucher Alain C. , Laino Teodoro , Reymond Jean-Louis
Published: October 2020

Artificial intelligence is driving one of the most important revolutions in organic chemistry. Multiple platforms, including tools for reaction prediction and synthesis planning based on machine learning, successfully became part of the organic chemists' daily laboratory, assisting in domain-specific synthetic problems. Unlike reaction prediction and retrosynthetic models, the prediction of reaction yields has received less attention in spite of the enormous potential of accurately predicting reaction conversion rates. Reaction yields models, describing the percentage of the reactants converted to the desired products, could guide chemists and help them select high-yielding reactions and score synthesis routes, reducing the number of attempts. So far, yield predictions have been predominantly performed for high-throughput experiments using a categorical (one-hot) encoding of reactants, concatenated molecular fingerprints, or computed chemical descriptors. Here, we extend the application of natural language processing architectures to predict reaction properties given a text-based representation of the reaction, using an encoder transformer model combined with a regression layer. We demonstrate outstanding prediction performance on two high-throughput experiment reactions sets. An analysis of the yields reported in the open-source USPTO data set shows that their distribution differs depending on the mass scale, limiting the dataset applicability in reaction yields predictions.
A Combined DFT/Machine Learning Framework for Materials Discovery: Application to Spinels and Assessment of Search Completeness and Efficiency
Authors: Ertekin Elif , Schiller Joshua A.
Published: October 2020

It is challenging to evaluate machine learning approaches developed for accelerating materials search and discovery in a realistic way. Machine learning approaches to materials stability prediction are typically assessed by their ability to reproduce results from direct physical modeling, whereas ideally both machine learning and direct physical modeling should be assessed by their ability to reproduce reality. Additionally, traditional evaluation metrics do not directly reflect the experience of an experimental search for unknown compounds in a large candidate phase space, and often result in overly optimistic assessments. Here, we (i) present a framework that combines density functional theory and traditional supervised machine learning methods (ML/DFT), and (ii) introduce the concepts of search completeness – the fraction of discoverable compounds found relative to the fraction of search space explored – and search efficiency – the rate of discovery relative to the fraction of search space explored – to evaluate it. The ML/DFT framework is an iterative approach to predict stable chemistries of a fixed crystal structure (here, spinels) that uses DFT to generate a training set of unstable compounds. The training set of stable compounds is given by experimentally known spinels. The method is carried out using random forest, LASSO, and ridge regression to predict as-of-yet undiscovered spinel chemistries. TreeSHAP analysis is used to determine features that most contribute to stability/instability classification. While no single feature dominates, several emerge that align with chemical intuition. To estimate the efficacy of ML/DFT compared to pure DFT, we introduce a Bayesian description of DFT distribution of energies for stable and unstable spinels. The Bayesian model enables quantifying the search completeness and search efficiency of DFT, which is then compared to that of ML/DFT. ML/DFT achieves search completeness and efficiency on par with pure DFT, despite requiring fewer DFT simulations (∼300 vs. 14,200). More importantly, by quantitatively assessing ML approaches in ways that better reflect how they would be used in materials discovery experiments, we obtain key insights into the challenges that need to be overcome by such methods: that the small number of stable compounds to be found in a search space orders of magnitude larger places stringent demands on model accuracy to achieve good search efficiency. Finally, we report the top candidates of our spinel search, which may be of interest for synthesis experiments
Tunable Eg Orbital Occupancy in Heusler Compounds for Oxygen Evolution Reaction
Authors: Yu Mingquan , Li Guowei , Fu Chenguang , Liu Enke , Manna Kaustuv , Budiyanto Eko , Felser Claudia , Tüysüz Harun
Published: October 2020

Heusler compounds have great potential in electrocatalysis due to their mechanical robustness, metallic conductivity, and wide tunability in the electronic structure and element compositions. This study reports the first application of Co2YZ type Heusler compounds as electrocatalysts towards oxygen evolution reaction (OER). A range of Co2YZ crystals was synthesized through the arc-melting method and the eg orbital filling of Co was precisely regulated by varying Y and Z sites of the compound. A strong correlation between the eg orbital filling of reactive Co sites and OER activity was found on Co2MnZ compounds (Z = Ti, Al, V, and Ga) whereby higher catalytic current was achieved with eg orbital filling approaching to unity. A similar trend of eg orbital filling on the reactivity of cobalt sites was also observed for other set of Heusler compounds (Co2VZ, Z = Sn and Ga). This work demonstrates proof of concept of application of Heusler compounds as a new class of OER electrocatalyst and the influence of the manipulation of the spin orbitals on their catalytic performances.
Acetaminophen Metabolism Revisited Using Non-Targeted Analyses: Implications for Human Biomonitoring
Authors: David Arthur , Chaker Jade , Léger Thibaut , Al-Salhi Raghad , Dalgaard Marlene Danner , Styrishave Bjarne , Bury Daniel , Koch Holger M. , Jégou Bernard , Kristensen David M.
Published: October 2020

The analgesic paracetamol (N-acetyl-4-aminophenol, APAP) is commonly used to relieve pain, fever and malaise. While sales have increased worldwide, a growing body of experimental and epidemiological evidence has suggested APAP as a possible risk factor for various health disorders. To perform internal exposure-based risk assessment, the use of accurate and optimized biomonitoring methods is criticical. However, retrospectively assessing pharmaceutical use of APAP in humans is challenging because of its short half-life. The objective of this study was to address the key biomonitoring issues with APAP using current standard analytical methods based on urinary analyses of free APAP and its phase II conjugates. Using non-targeted analyses based on high-resolution mass spectrometry, we identified in a controlled longitudinal exposure study with male volunteers, unrecognized APAP metabolites with delayed formation and excretion rates. We postulate that these metabolites are formed via the thiomethyl shunt after the enterohepatic circulation as already observed in rodents. Importantly, the conjugated thiomethyl metabolites were (i) of comparable diagnostic sensitivity as the free APAP and its phase II conjugates detected by current methods; (ii) had delayed peak levels in blood and urine compared to other APAP metabolites and therefore potentially extend the window of exposure assessment; and (iii) provide relevant information regarding metabolic pathways of interest from a toxicological point of view. Including these metabolites in future APAP biomonitoring methods provide an option to decrease potential underestimation of APAP use and challenges the notion that the standard methods in biomonitoring based exclusively on the parent compound and its phase II metabolites are adequate for human biomonitoring of non-persistant chemical such as APAP.
More and Faster: Simultaneously Improving Reaction Coverage and Computational Cost in Automated Reaction Prediction Tasks
Authors: Zhao Qiyuan , Savoie Brett
Published: October 2020

Automated reaction prediction has the potential to elucidate complex reaction networks for applications ranging from combustion to materials degradation. Although substantial progress has been made in predicting specific reaction pathways and resolving mechanisms, the computational cost and inconsistent reaction coverage of automated prediction are still obstacles to exploring deep reaction networks without using heuristics. Here we show that cost can be reduced and reaction coverage can be increased simultaneously by relatively straight- forward modifications of the reaction enumeration, geometry initialization, and transition state convergence algorithms that are common to many emerging prediction methodologies. These changes are implemented in the context of Yet Another Reaction Program (YARP), our reaction prediction package, for which we report a head-to-head comparison with prevailing methods for two benchmark reaction prediction tasks. In all cases, we observe near perfect recapitulation of established reaction pathways and products by YARP, without the use of heuristics or other domain knowledge to guide reaction selection. In addition, YARP also discovers many new kinetically relevant pathways and products reported here for the first time. This is achieved while simultaneously reducing the cost of reaction characterization nearly 100-fold and increasing transition state success rates and intended rates over 2-fold and 10-fold, respectively, compared with recent benchmarks. This combination of ultra-low cost and high reaction-coverage creates opportunities to explore the reactivity of larger sys- tems and more complex reaction networks for applications like chemical degradation, where approaches based on domain heuristics fail.
Estimating the Directional Flexibility of Proteins from Equilibrium Thermal Fluctuations
Authors: PAUL SANJOY , Venkatramani Ravindra
Published: October 2020

In this manuscript, we demonstrate the abilities of atomistic MD trajectories to estimate the directional spring constants of proteins. The MD-derived spring constants are cross-correlated with single-molecule force spectropcopy (SMFS) experimental data for 5 different globular proteins. We employ the framework to predict the mechanical anisotropy of ubiquitin and associated changes in the anisotropy with functionally relevant protein-protein interactions. Finally, we use the MD-based framework to benchmark and improve computationally inexpensive and scalable elastic network model (ENM) based methods to estimate protein directional flexibility.
Design and ballistic analysis of the mission for long-term study of the asteroid Apophis by a nanosatellite with an electric rocket propulsion system
Authors: Starinova O. L. , Sergaeva E. A. , Shornikov A. Yu.
Published: October 2020

The paper considers non-spherical objects with low gravitational attraction, such as asteroids, satellites of the planet and comets. We considered possibility of a mission to small bodies of the solar system of irregular shape on the example of the asteroid Apophis. The authors of the article suggest using a nanoclass spacecraft with an electric rocket propulsion system for a long mission to study Apophis. The purpose of this work is to determine the necessary costs of the working body for all stages of the mission, which includes reaching the asteroid, forming and maintaining a given orbit relative to it. The gravity of the Earth, Sun, and asteroid is taken into account when modeling the controlled movement of the spacecraft. When a spacecraft is moving relative to an asteroid, its gravitational field is described as a superposition of the gravitational fields of two rotating massive points. In this paper, it is proposed to divide the mission into two sections for preliminary ballistic design. The first optimal speed heliocentric flight Earth-asteroid Apophis with the alignment of the speed of the spacecraft and the asteroid. The second is the movement in the vicinity of the asteroid, which includes the optimal speed maneuver for forming the working orbit and maintaining the working orbit for a given time.
Instructional Design of Data Modeling for Informal Statistical Inference of Elementary School Students
Authors:   The Korea Society Of Educational Studies In Mathematics, Jun Hye-jin , Jung Hye-Yun , Lee Kyeong-Hwa
Published: October 2020

The purpose of this article is to present the design principles of data modeling activities for the development of informal statistical inference of elementary school students, and systematically illuminate the design process based on it. The details are as follows. First, through the analysis of previous research, we draw the data modeling process and the norm of task design for the development of informal statistical inference of elementary school students. Second, based on the design principles, we developed a data modeling task and lessons, and after expert evaluation, a teaching experiment was conducted for actual elementary school students. The implications of this study are the following. First, through exploring the appropriate design principles and methods to apply each principle to the student level, we confirmed the usability of data modeling activities for the development of informal statistical inference. Second, When using technology in data modeling activities, it is necessary to select a tool that suits the student's level and the context of the class. Third, when designing lesson sequences for the development of informal statistical inference, special care of the integration of contextual knowledge is needed.
CANALES DE COMERCIALIZACIÓN DE LA CORTEZA DE CUACHALALATE (Amphipterigium adstringens Schiede ex Schlecht.) EN MÉXICO
Authors: Solares Arenas Fortunato , Vázquez Alvarado Jorge Miguel Paulino , Gálvez Cortés Ma. Cristina
Published: October 2020

El cuachalalate, (Amphipterigium adstringens), es una especie arbórea de la selva baja caducifolia, cuya corteza se utiliza desde tiempos prehispánicos en la medicina tradicional. Por ser uno de los productos de mayor demanda en la herbolaria mexicana y de importancia económica para las comunidades que viven en este ecosistema, en el INIFAP desde 1989 se han realizado investigaciones para mejorar su manejo lo que permite actualmente su aprovechamiento sustentable y legal. Sin embargo, el proceso de distribución aún no se había abordado, por eso se llevó a cabo el presente estudio, cuyo objetivo fue identificar las zonas de abastecimiento, las rutas de comercialización, los agentes que intervienen en la cadena de producción y los márgenes de ganancia entre eslabones. Para lograrlo, se hicieron observaciones de campo y una serie de entrevistas. Los resultados indican que las principales áreas oferentes de corteza son el estado de Morelos, la Mixteca Poblana y el norte de la cuenca del río Balsas; con una recolección promedio de 57.5 toneladas al año. Se detectaron cinco canales de comercialización ,y en todos ellos el recolector recibe la porción más pequeña del precio final. El porcentaje que corresponde a los acopiadores varía entre 6 y 33%. El margen del detallista de 20 a 97%, el cual es mayor cuando el número de intermediarios disminuye y el producto se procesa. Si la corteza se envasa, los responsables reciben 70% del precio final; mientras que los laboratorios obtienen 73%, aunque sus costos son más altos.
COMPOSICIÓN Y ESTRUCTURA ARBÓREA DE UN BOSQUE TROPICAL ESTACIONALMENTE SECO EN LA RESERVA DE LA BIÓSFERA LA SEPULTURA, CHIAPAS
Authors: López-Toledo José Francisco , Valdez-Hernández Juan Ignacio , Pérez-Farrera Miguel Ángel , Cetina-Alcalá Víctor Manuel
Published: October 2020

Se estudió la estructura y composición de la vegetación arbórea en las condiciones ambientales (CA) de Arroyo, Cañada y Loma. Se establecieron tres unidades de muestreo (UM) de 20 x 30 m en cada CA, donde se midió diámetro normal (DN), altura total y diámetros de copa de fustales (DN ≥ 2.5 cm). Para latizales (DN < 2.5 cm y altura ≥ 1.3 m) y brinzales (altura < 1.3 m) sólo se consideró la altura. Se calcularon los índices de valor de importancia (IVI), valor forestal (IVF), diversidad de especies (Shannon: H’) y semejanza florística (Sorensen: So). Se encontraron 83 especies arbóreas. Para fustales, las más importantes fueron Lonchocarpus minimiflorus (IVF = 25.9; IVI = 16.8) en Arroyo, Adenaria floribunda (IVF = 17.3; IVI = 14.7) en Cañada, y Guazuma ulmifolia (IVF = 27.6; IVI = 18.5) en Loma. Para latizales, Piper sp. (IVI = 29.1) en Arroyo, Eugenia capulli (IVI = 14.9) en Cañada, y Cassia sp. (IVI = 20.6) en Loma. Para brinzales, L. minimiflorus (IVI = 27.1) en Arroyo, Cassia sp. (IVI = 15.3) en Cañada, y Lantana achyranthifolia (IVI = 26.8) en Loma. La diversidad fue significativamente mayor (p<0.05) en las UM de Arroyo (H’ = 2.21-2.92) y Cañada (H’ = 2.37-2.98) que en las de Loma (H’ = 0.92-2.44). La semejanza florística fue superior entre las UM de Cañada (So = 0.46-0.71) y menor entre las de Arroyo (So = 0.33-0.39). Arroyo y Cañada presentan bosques maduros, mientras que Loma, vegetación en sucesión secundaria temprana.
Contexto socioeconómico del conocimiento micológico tradicional en la sierra nevada, México
Authors: Estrada Martínez Emma , Cibrián Tovar David , Ortega Paczka Rafael
Published: October 2020

Diversos trabajos relativos al conocimiento tradicional de los hongos silvestres comestibles se han realizado en la zona centro de méxico, pero algunos de ellos no incluyen información socioeconómica. derivado de esto se planteó el estudio que se describe a continuación con el objetivo de fundamentar, en dicho contexto, la relevancia del saber popular que posee la población que habita en las comunidades vinculadas con el área forestal de la sierra nevada. Para ello, se examinaron datos de campo referentes a los aspectos etnomicológicos relacionados con el aprovechamiento de dichos recursos naturales y se hizo un análisis comparativo de diversos parámetros socioeconómicos de los municipios ubicados en la región. los resultados indican que la situación de pobreza generalizada de la mayor parte de sus habitantes se agudiza para los municipios rurales, escenario que se acentúa para las mujeres asalariadas, en particular, las que no tienen pareja, son viudas o están divorciadas. de ahí la importancia alimentaria, económica y como elemento generador de identidad que reúne el conocimiento micológico tradicional, propio de algunos de los pobladores de las localidades que poseen o hacen uso de terrenos boscosos de la sierra nevada; esto es más valioso para la población femenina, como responsable de la comercialización de los hongos silvestres comestibles en los mercados regionales.
Prediksi Pencurian Sepeda Motor Menggunakan Model Time Series (Studi Kasus: Polres Kotabumi Lampung Utara)
Authors: PRANATA MELI , ANGGRAINI DIAN , Makbuloh Deden , Rinaldi Achi
Published: October 2020

Tindak kriminal adalah kejahatan yang melanggar undang-undang suatu Negara atau melanggar norma yang berlaku dalam masyarakat. Pencurian merupakan salah satu bentuk dari perbuatan tindak kriminal. Dampak yang ditimbulkan dari adanya pencurian adalah perasaan kurang aman, takut, dan tenang. Salah satu model yang digunakan untuk memprediksi jumlah kasus pencurian yaitu model time series. Model time series adalah serangkaian nilai pengamatan yang diambil selama periode waktu tertentu. Pada umumnya, dalam interval-interval yang sama panjang, (Spuege & Stephens, 2004). Penelitian ini bertujuan memodelkan data tindak kriminal yang terjadi di Lampung Utara dengan model Autoregressive (AR), Moving Average (MA), dan Autoregressive Integrated Moving Average (ARIMA). Selanjutnya dari model terbaik akan digunakan untuk peramalan 6 bulan kedepan. Hasil penelitian model AR , model AR , model MA , ARIMA , dan model ARIMA . Model MA  memiliki koefisien parameter yang signifikan, memenuhi uji diagnostic tidak adanya residual pada model dan memiliki nilai RMSE dan AIC terkecil dengan nilai RMSE sebesar dan nilai AIC sebesar . Hasil prediksi model MA  untuk 6 bulan ke depan cenderung mendatar.
The preventive role of different doses Spirulina platensis on lipid peroxidation and antioxidant status in healthy rats
Authors: KARAKCI Deniz , SEYİDOĞLU Nilay , MERHAN Oğuz , BOZUKLUHAN Kadir
Published: October 2020

There are several antioxidant supplements using for reproductivity and life quality, especially herbal ones. Nowadays, herbal antioxidants especially Spirulina platensis has been still interested due to protective role on oxidant antioxidant balance and health. The present study, we aimed to evaluate the effects of different doses of S.platensis on important oxidant molecule MDA (TBA, oxidant malondialdeyhde), and individual antioxidants as GPx (glutathione peroxidase), CAT (catalase) and SOD (superoxide dismutase) in healthy rats. For this purpose, we used thirty Wistar Albino male rats in three groups: Control, Low Dose Spirulina (500 mg kg-1) and High Dose Spirulina (1000 mg kg-1). S.platensis additives were given by oral gavage daily under a long forty five day of trial. At the end of the study, interestingly, all the antioxidants GPx, CAT, SOD and the oxidant MDA lipid peroxidation values were decreased in group high dose Spirulina compared to Control (p < 0.05). In spite of these decreases, testis weights and indexes were increased in group high dose Spirulina compared to Control significantly. The testis weights and indexes evaluated for normal health of animals. It can be considered that due to the excessive protein and antioxidants features of S.platensis, oxidant and antioxidant mechanisms may be changed. However it can be said that Spirulina can compensate the homeostasis and health of animals. It is also considered that the applications and different doses of S.platensis are needed to be assayed for further studies.
Flow Rate and Apparent Volume of Cerebrospinal Fluid in Rhesus Macaques (Macaca mulatta) Based on the Pharmacokinetics of Intrathecally Administered Inulin
Authors: Lester McCully Cynthia M , Rodgers Louis T , Garica Rafael Cruz , Thomas Marvin L , Peer Cody J , Figg William D , Barnard Dennis E , Warren Katherine E
Published: October 2020

Cerebrospinal fluid (CSF) flow rate and volume are fundamental to the design and interpretation of preclinical pharmacokinetics and pharmacodynamics studies in NHP. To determine the values of CSF flow rate and volume, we evaluated the plasma and CSF pharmacokinetics of inulin, an inert
polysaccharide tracer, in 5 rhesus macaques with CSF ventricular res- ervoirs and lumbar ports; these reservoirs and ports facilitate humane intrathecal administration and serial CSF sampling in unanesthetized macaques. Inulin was administered intrathecally via the CSF ventricular reservoir
(n = 3), followed by the collection of lumbar CSF via the lumbar port and plasma. The contribution of dietary inulin was evaluated by using pre- and postprandial inulin plasma concentrations (n = 2) and a feed analysis of the NHP diet. Inulin concentrations were quantified using
ELISA. Pharmacokinetic parameters were calculated by using noncompartmental methods. Daily diet was analyzed for inulin by using Official Method no. 997.08 of AOAC International. In male rhesus macaques, the mean CSF flow rate, established via inulin clearance after IT administration, was
0.018 ± 0.003 mL/min; mean CSF volume, established based on apparent volume of distribution, was 10.17 ± 0.63 mL. In plasma, inulin was quantifiable in all pre-administration samples and increased over the sampling period, precluding interpretation of plasma pharmacokinetics.
Evaluation of the effect of diet on plasma concentrations established quantifiable inulin levels that showed minimal variation relative to the prandial state. Analysis of the feed detected 5 inulin types ranging from 1100 to 1440 mg per100 g. The diet was the source of detectable pre-administration
inulin plasma concentrations, whereas inulin was not detected in CSF before inulin administration.
Cross-Cultural Comparisons of the Cute and Related Concepts in Japan, the United States, and Israel
Authors: Nittono Hiroshi , Lieber Milo Shiri , Dale Joshua
Published: October 2020

An online survey was
conducted to clarify the semantic image of the cute and attitudes toward
cuteness in three countries: Japan, the United States, and Israel (total N
= 2,155). The results show a remarkable resemblance in respondents’ conceptions
of the cute (kawaii in Japanese and hamud in Hebrew) across
countries. Several common tendencies were found: (1) Cuteness is highly
appreciated and believed to induce positive affective responses, (2) women tend
to find things cute more frequently and strongly than men do, (3) animal babies
are thought to be cuter than human babies, and (4) infants are found to be
cuter when people get older, while older people generally show less positive
attitudes toward cuteness. This study demonstrates that the concept of cuteness
and the feelings connected to its perception are universal.
Sense Theory. Sense Series
Authors: Mielberg Egger L.
Published: October 2020

Any complex mathematical or physical problem can be solved easier if it isbroken down into several less complex problems. A similar situation occurswhen it is necessary to determine the meaning of big data or severalmeanings of individual data blocks.A mechanism that could combine objects of various kinds with onemeaning would help solve a number of problems of sense logic andsemantic analysis.In this article, we describe one of the mechanisms, sense series that allowsmany different and complex objects to determine the presence of asemantic connection and sense dependence between them.
Are Psychotherapies Less Effective for Black Youth in Communities with Higher Levels of Anti-Black Racism?
Authors: Price Maggi , Weisz John R. , McKetta Sarah , Hollinsaid Nathan Louis , Lattanner Micah , Reid Allecia , Hatzenbuehler Mark
Published: October 2020

Objective: We examined whether anti-Black cultural racism moderates the efficacy of psychotherapy interventions among youth.Method: We analyzed a subset of studies from a previous meta-analysis of five decades of youth psychotherapy randomized controlled trials. Studies were published in English between 1963 and 2017 and identified through a systematic search. The 194 studies (N=14,081; ages 2-19) across 34 states comprised 2,678 effect sizes (ESs) measuring mental health problems (e.g., depression) targeted by interventions. Anti-Black cultural racism was operationalized using a composite index of 31 items measuring explicit racial attitudes (obtained from publicly available sources; e.g., General Social Survey), aggregated to the state level and linked to the meta-analytic database. Analyses were conducted with samples of majority (i.e., ≥50%) Black (n=36 studies) and majority-White (n=158 studies) youth.Results: Two-level random effects meta-regression analyses indicated that higher anti-Black cultural racism was associated with lower ESs for studies with majority-Black youth (β=-0.20, CI: -0.35, -0.04, p=0.02) but was unrelated to ESs for studies with majority-White youth (β=0.0004, CI: -0.03, 0.03, p=0.98), controlling for relevant area-level covariates. In studies with majority-Black youth, mean ESs were significantly lower in states with the highest anti-Black cultural racism (>1 SD above the mean; g=0.19) compared to states with the lowest racism (<1 SD below the mean; g=0.60). Conclusions: Psychotherapy randomized controlled trials with samples comprised of majority-Black youth were significantly less effective in states with higher (vs. lower) levels of anti-Black cultural racism, suggesting that anti-Black cultural racism may be one contextual moderator of treatment effect heterogeneity.
Charge and discharge profiles of repurposed LiFePO4 batteries based on the UL 1974 standard
Authors: Chung Hsien-Ching
Published: October 2020

Owing to the popularization of electric vehicles worldwide and the development of renewable energy supply, Li-ion batteries are widely used from small-scale personal mobile products to large-scale energy storage systems. Recently, the number of retired power batteries has largely increased, causing environmental protection threats and waste of resources. Since most of the retired power batteries still possess about 80% of their initial capacity, their second use becomes a possible route to solve the emergent problem. Safety and performance are important when using these second-use repurposed batteries. Underwriters Laboratories (UL), a global safety certification company, published the standard for evaluating the safety and performance of repurposed batteries, i.e., UL 1974. In this work, the test procedures are designed according to UL 1974, and the charge and discharge profile datasets of the LiFePO4 repurposed batteries are provided. Researchers and engineers can use the characteristic curves to evaluate the quality of the repurposed batteries. Furthermore, the profile datasets can be applied in the model-based engineering of repurposed batteries, e.g., fitting the variables of an empirical model or validating the results of a theoretical model.
A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysis
Authors: van Arkel Jacqueline , Woensdregt Marieke , Dingemanse Mark , Blokpoel Mark
Published: October 2020

How can people communicate successfully while keeping resource costs low in the face of ambiguity? We present a principled theoretical analysis comparing two strategies fordisambiguation in communication: (i) pragmatic reasoning, where communicators reason about each other, and (ii) other-initiated repair, where communicators signal and resolve trouble interactively. Using agent-based simulations and computational complexity analyses, we compare the efficiency of these strategies in terms of communicative success, computation cost and interaction cost. We show that agents with a simple repair mechanism can increase efficiency, compared to pragmatic agents, by reducing their computational burden at the cost of longer interactions. We also find that efficiency is highly contingent on the mechanism, highlighting the importance of explicit formalisation and computational rigour.
The latent and item structure of COVID-19 fear: A comparison of four COVID-19 fear questionnaires using SEM and network analyses
Authors: Mertens Gaëtan , Duijndam Stefanie , Smeets Tom , Lodder Paul
Published: October 2020

Since the outbreak of the coronavirus disease (COVID-19), several reports have shown that fear relating to COVID-19 has sharply increased. To measure fear of COVID-19, various questionnaires have been developed in parallel. However, fear concerning COVID-19 is not necessarily a uniform construct and the different questionnaires may cover diverse aspects. To examine the underlying structure of fear of COVID-19, we conducted structural equation modelling and network analyses on four scales in an online convenience sample (N = 829). Particularly, the Fear of COVID-19 Scale (Ahorsu et al., 2020), the Fear of the Coronavirus Questionnaire (Mertens et al., 2020), and the COVID Stress Scales (Taylor, Landry, Paluszek, Fergus et al., 2020, Taylor, Landry, Paluszek, Rachor et al., 2020) were included in our study, along with a new scale that also assessed socio-economic worries relating to COVID-19. We found that fear of COVID-19 was best classified into four clusters: Fear of health-related consequences, fear of supplies shortages and xenophobia, fear about socio-economic consequences, and symptoms of fear (e.g., compulsions, nightmares). We also find that a central cluster of items centered on fear of health, which likely represents the core of fear of COVID-19. These results help to characterize fear due to COVID-19 and inform future research.
New approach to mental disorders systematics: starting point or point of view?
Authors: Neznanov N. G. , Rukavishnikov G. V. , Kaysanov E. D. , Zhilyaeva T. V. , Mazo G. E.
Published: October 2020

The search for new approaches to the mental disordersclassification is one of the priority tasks in modern psychiatry. Current approaches evaluate mental disorders in isolation, ignoring the fact that they are a multisystem pathology that affects not only mental functions, but also a wide range of somatic manifestations. However, there is more and more reason to consider mental disorders as multisystem diseases. This approach is of interest not only for explaining the high comorbidity of somatic and mental disorders, but also in studying the pathophysiological mechanisms that determine the risks and course of multisystem diseases. This strategy can be the basis for the fundamentally new approaches to the systematics of mental disorders with both theoretical and practical significance. To integratesuch an approach, it is necessary to determine the “starting point”, which may be the evaluation of mental disorders andinherited metabolic disorders interaction.
Telemedicine technologies in psychiatry (opinion of experts Orenburg region)
Authors: Chehonadsky I. I. , Shvedova A. A. , Skripov V. S. , Semenova N. V.
Published: October 2020

The article presents the results of a survey of specialists from the Orenburg region who provide assistance to patients with mental and behavioral disorders, regarding the experience of using telemedicine technologies. The purpose of the study was to assess the level of awareness of specialists about new technologies, the relevance of their application in the field of psychiatry, as well as to identify problems that arise in the process of implementing telemedicine in the practice of a doctor. The data obtained indicate a high interest in new technologies among doctors who previously participated in remote consultations. At the same time, among specialists who did not have experience with the telemedicine system, a low level of awareness about its capabilities and distrust of new technologies was revealed. Using the survey, it was possible to identify the main problems of telemedicine faced by specialists of the Orenburg region.
First WHO Infodemiology Conference: multidiscipline Cooperation in Tackling Misinformation during COVID-19 Pandemic
Authors: Vasileva A. V.
Published: October 2020

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O USO DO GEOGEBRA NO ENSINO DE FUNÇÕES TRIGONOMÉTRICAS NA 2ª SÉRIE DO ENSINO MÉDIO
Authors: Lucas Alves de Sousa Antonio , Oliveira de Sousa Bruno
Published: October 2020

Sabe-se que a educação, propriamente dita, deve alcançar certos objetivos, que uma aula tradicional muitas vezes é insuficiente, o que muitas vezes é porque o professor não consegue prender a atenção dos alunos. Sabendo disso, uma das formas de se chamar atenção deles é justamente apresentar a aplicabilidade de certo conhecimento no cotidiano do aluno, usando a interdisciplinaridade. O Geogebra possui ferramentas para a construção de gráficos de funções que são de difícil visualização, a menos que se tenha uma ferramenta semelhante ao Geogebra ou o próprio. O fato é que na 2ª série do ensino médio os alunos se aprofundam nos cálculos de funções trigonométricas, vem surgir novas funções e alguns se sentem perdidos, acham complicado demais de se entender e visualizar. Mostrar como a versatilidade do Geogebra pode ser usada a favor dos professores para que essa suavização do ensino de matemática seja possível, é o objetivo principal deste artigo. Mostrar como a versatilidade do Geogebra ajuda, se as tecnologias dentro de sala facilitam ou dificultam a ensino aprendizagem, e como o Geogebra pode ajudar no ensino de funções trigonométricas. Analisar a compreensão dos com relação às funções trigonométricas, e ver o quão benéfico é usar uma tecnologia, no caso o Geogebra em favor do ensino da matemática. Além disso, inferir também que as tecnologias quando bem usadas em sala de aula, podem ser uma peça fundamental para um melhor ensino aprendizagem, e relatar as experiências adquiridas dos alunos após terem tido contato com o Geogebra, e seu uso no ensino de funções trigonométricas. Esta pesquisa está baseada em pesquisas feitas anteriormente por Moran (2013), D’Ambrósio (1993) e Silva (2018). E pode-se concluir que as tecnologias influenciam grandemente no ensino da matemática, a saber, o Geogebra é uma excelente ferramenta, que instigou os alunos a ter até mesmo interesse por matemática.