bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise da produção científica sobre goalball no cenário brasileiro
Authors: Ferreira Letícia Maria Coelho , Clavijo Fabian Alberto Romero , Valério Matheus Maron , Drews Ricardo
Published: March 2023

Objetivo: O presente estudo teve como objetivo analisar a produção científica sobre o goalball em língua portuguesa no cenário brasileiro. Método: Para tal, foram analisadas 38 revistas científicas da área da Educação Física e o banco de teses e dissertações da CAPES no mês de março de 2021. As buscas ocorreram com a utilização do termo “Goalball” e os critérios de inclusão para o estudo foram artigos, dissertações e teses que tiveram como objetivo analisar o goalball, sendo o período de publicação até a data de dezembro de 2020. Não foram incluídos estudos de revisão, resumos de congresso, editoriais e cartas, como também artigos ou dissertações/teses que não possuíssem o texto completo disponível ou não estivessem em língua portuguesa. Após selecionados os estudos, foram extraídos os dados referentes ao ano, periódico de publicação, instituição dos autores e categorizados conforme a temática investigada. Os dados foram analisados com base em estatística descritiva dos valores absolutos (N) e relativos (%). Resultados e discussão: No total, foram selecionados 31 estudos, sendo 15 artigos, 15 dissertações de mestrado e 1 tese de doutorado. O primeiro estudo publicado encontrado data o ano de 1999, com a maior quantidade de publicações (n = 6) verificada no ano de 2012. A análise também revelou que as temáticas mais frequentes analisadas nos estudos sobre goalball foram referentes ao treinamento, seguidas de saúde e pedagogia. Considerações Finais: Conclui-se que apesar de um leve crescimento na última década, ainda é baixo o número de estudos analisando o goalball em língua portuguesa no cenário brasileiro.
Nordeste e nordestino
Authors: Modesto Rogério , Souza Alan Lobo de , Lins Anderson
Published: March 2023

Em nossa proposta, analisamos como comparecem discursivamente significados o "Nordeste" e o "nordestino" nas provas de Língua Portuguesa que compõem a área Linguagens, Códigos e suas Tecnologias do ENEM - Exame Nacional do Ensino Médio. Tratamos o ENEM como um instrumento linguístico e perguntamo-nos pelos sentidos de Nordeste e nordestino formulados e postos em circulação nesse material, com vistas a compreender o funcionamento do imaginário sobre o Nordeste/nordestino e suas relações com a língua e o funcionamento linguístico e discursivo.
Ser “de fora” ou ser “de dentro”
Authors: Viana Jorge , Ventura Adilson
Published: March 2023

A construção de sentido(s) de “nordestino”, sem dúvida, passa por áreas das mais diversas: História, Geografia, Política, Economia, para citarmos algumas. Não obstante, entendemos que, dentre várias áreas que possuem uma importância central nessa construção de sentidos, a Literatura Brasileira teve – e tem – um papel de destaque na construção de sentidos do que ficou comumente conhecido como “ser nordestino”. Partindo dessa premissa, este nosso trabalho tem por objetivo discutir, à luz da Semântica, a construção de sentidos de “nordestino”, a partir da consideração de dois tipos de textos literários: por um lado, um texto que se constrói a partir de uma espécie de “olhar de fora” sobre o Nordeste; de outro, textos literários construídos a partir de um “olhar de dentro”. Respectivamente, tomaremos, no primeiro caso, “Os Sertões”, de Euclides da Cunha; e, no segundo, obras da literatura regionalista nordestina da chamada Geração de 30, que inclui, dentre outros, José Lins do Rego, Rachel de Queiroz e Graciliano Ramos.
"Projeto Terra"
Authors: Steeds Lucy
Published: March 2023

This essay presents thinking about art and ecology as learnt through study of work originating in the rural northeast of Brazil in the 1980s, which then featured in biennials at the end of that decade. While drawing on the writing of Walter Benjamin, Denise Ferreira da Silva, Carolyn Merchant and Anna Tsing, it centres the sculptural assemblages of Projeto Terra as situated in the Bahian sertão by Juraci Dórea. Reworking academic conventions, it experiments with art historiography and offers some emergent heuristics.
Experiência neoconcreta
Authors: Mol Elias Perigolo
Published: March 2023

O presente artigo analisa o Suplemento Dominical do Jornal do Brasil intitulado Experiência Neoconcreta, em cujas páginas foi publicado o Manifesto Neoconcreto, em 1959. O Manifesto tornou-se, desde a data de sua publicação, fundamental para as discussões sobre o Neoconcretismo. Busca-se, através da análise do Suplemento em sua totalidade, e de seus elementos visuais e gráficos, uma compreensão maior dos propósitos e do contexto que envolvem a produção do Manifesto Neoconcreto.
O resto também é mundo
Authors: Oliveira Emerson Dionisio Gomes de , Malta Marize , Couto Maria de Fátima Morethy
Published: March 2023

A presente edição da Revista MODOS: Revista de História da Arte conta com dezesseis textos inéditos.  Destacamos os artigos do dossiê "Repensando as Conexões de Arte e Ecologia", proposto pelas pesquisadoras Camila Maroja e Vera Beatriz Siqueira, que vêm adensar a discussão e o debate sobre a noção de ecologia na América Latina, cujas reverberações estão associadas ao colonialismo e ao pensamento colonial dele derivado.
Anthelmintic Potential of Ethyl Acetate Fraction Berenuk (Crescentia cujete L.) Fruit Against Mortality Haemonchus contortus In Vitro
Authors: Suhita Dyah Ajeng
Published: March 2023

This study aims to determine the anthelmintic potency of the ethyl acetate fraction of berenuk fruit (Crescentia cujete L.) on the mortality of the Haemonchus contortus worms in vitro. The method that was used in the research was a post-test only control group design. There were five treatments and each treatment was carried out in four repetitions. The sample used was twenty H. contortus in each treatment for all replications. Observation and recording of H. contortus mortality was carried out at 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60 minutes, and when all worms in the petri dish died. Data analysis using ANOVA, followed by Duncan’s Test and Probit analysis. The results showed that the ethyl acetate fraction of berenuk fruit had anthelmintic activity. The conclusion in this study is that the optimal concentration is found in the 0.5% ethyl acetate fraction concentration, the LC50 at each observation time successively is 1.39%; 0.97%; 0.70%; 0.48%; 0.39%; 0.34%; 0.31%; 0.28%; 0.27%; 0.26%; 0.25%; and 0.24%, while LT50 at a concentration of 0.125%; 0.25%; and 0.5% respectively are 1 hour 17 seconds, 41 minutes 42 seconds, and 20 minutes 58 seconds.
Anomaly Identification Model for Telecom Users Based on Machine Learning Model Fusion
Authors: Lin Jianhong , Wang Peng , Wu Chunming
Published: March 2023

With the development of economic globalization and modern information and communication technology, the situation of communication fraud is becoming more and more serious. How to identify fraudulent calls accurately and effectively has become an urgent task in current telecommunications operations. Affected by the sample set and the current state of the art, the current machine learning methods used to identify the imbalanced distribution dataset of positive and negative samples have low recognition accuracy. Therefore, in this paper, we propose a new hybrid model solution that uses feature construction, feature selection and imbalanced classes handling. A stacking model fusion algorithm composed of a two-layer stacking framework with several state-of-the-art machine learning classifiers is adopted. The results show that the risk user identification model based on mobile network communication behavior established by our stacking model fusion algorithm can accurately predict the category labels of telecom users and improve the risk of telecom users. The generalization performance of the identification is high, which provides a certain reference for the telecommunications industry to identify risk users based on mobile network communication behaviors.
Supplementation of Heit-Chrose into Dairy Cow Feed Improves in Vitro Rumen Fermentation
Authors: Prayitno Caribu Hadi
Published: March 2023

The objective of the study was to evaluate the effect of Heit-Chrose (HC) supplementation using in vitro method on ruminal fermentation of dairy cattle. HC is a feed supplement containing allicin, saponin and organic minerals ( Se , Cr and Zn).  This research was conducted using completely randomized design, with 6 treatments and 4 replications. The treatments were : 1). C = dairy cattle feed (CP 15.38%, CF 23.38%, TDN 61.26%); 2). HC-0 = C+  organic minerals (0.3 ppm Se + 0.15 ppm Cr + 40 ppm Zinc-lysinat) + 0 ppm of HC; 3). HC-15= C + 15 ppm HC; 4).HC-30 =C+ 30 ppm of HC; 5). HC-45 =C+ 45 ppm of  HC; 6). HC-60 =C  + 60 ppm of HC. Data obtained were analyzed using analysis of variance of SPSS program. HC supplementation increased the DMD, OMD, VFA, but reduced  total gas,  methane and  protozoa count.  HC supplementation greater than  30 ppm  did not further improve ruminal fermentation. Supplementation at 30 ppm of  HC to dairy cow feed was the appropriate level to improve the efficiency of rumen fermentation.
Free Fatty Acid Concentration and Carboxy methyl cellulase Activity of Some Formulas of Protected Fat-proteins Tested In Vitro
Authors: Hartati Lilis , Agus Ali , Yusiati Lies Mira , Widyobroto Budi Prasetyo
Published: March 2023

The aim of this study was to determine the levels of free fatty acids and carboxymethylcellulase activity (cmc-ase) activity of some protected fat-proteins base on in vitro Tilley and Terry method. Two sources of fat, i.e. crude palm oil and fish oil and three sources of protein i.e. skim milk, soybean flour and soybean meal were used in the formulation of protected fat-protein, and thus there were six treatment combinations. The filtrate from the in vitro test was analyzed for the levels of free fatty acids and  cmcase activity. The result of this research indicates that different combinations of feed materials and fat give different content of free fatty acid in first stage and second stage in vitro, with the best results in the combination treatment of skim milk and palm oil that give the lowest result of  free fatty acid concentration in fisrt stage in vitro (0.168%) and the highest result free fatty acid concentration in second stage in vitro ( 4.312%) . The activity of CMC-ase was not influenced by different  sources of fat and protein. It can be concluded was that the protection of the combination between skim milk and CPO gives the highest protection results.
Reproductive Performance of Various Breeds of Sentul Chicken
Authors: Mugiyono Sigit , Saleh Dadang Mulyadi , Sukardi Sukardi
Published: March 2023

This study was conducted to determine the reproductive  performance of various breeds of Sentul chicken.  The present research was assigned in an experimental model with a completely randomized design (CRD), with 5 breeds of Sentul chicken were created as treatments, namely Abu Sentul chicken = SA; Batu Sentul Chicken=SB; Emas Sentul Chicken=SE; Debu Sentul Chicken=SD; and Geni Sentul Chicken=SG. Each treatment was repeated 5 times with 4 females and 1 male birds each, thus the total number of chickens were 100 females and 25 males with an average initial female weight was 1,336.05 ± 84,99 g and male weight was  2,050.53 ± 121,78 g.  The experiment was conducted for  14 weeks started from 20 week old until 34 week old. Variables measured were spermatozoa production, fertility, and hatchability. Data were subjected to analysis of variance and HSD test. Results showed that various breeds of Sentul chicken had no significant effect (P>0.05) on spermatozoa production, and had significant effect (P<0.05) on fertility and hatchability. It can be concluded that spermatozoa production  of various breeds of Sentul chicken are relatively similar, while fertility and hatchability of Emas chicken was lower than that of Abu Sentul chicken and Batu Sentul Chicken.
Phytobiotic Utilization as Feed Additive in Feed for Pancreatic Enzyme Activity of Broiler Chicken
Authors: Purwanti Sri , Zuprizal Zuprizal , Yuwanta Tri , Soepadmo Soepadmo
Published: March 2023

This research was conducted to evaluate the effect of turmeric water extract, garlic and combination turmeric and garlic as a feed additive in the broiler diet on pancreatic enzyme activity of broiler chicken. Effectivity of treatments was assessed by addition of phytobiotic (control, 015% zinc bacitracin, 2.5% TE, 2.0% GE, 2.5% TGE) which were arranged Completely Randomized Design with 4 replications. The variables measured were pancreatic enzyme activity(amylase enzyme activity, protease enzyme activity  and lipase enzyme activity).The results showed that enzyme protein activity content of 2.5% TE supplementation is also high at 82.02 U/ml, then supplemented 2.5% TGE, 2.0% GE, negative control and positive control respectively 75.98 ; 72.02; 68.74; and 66.57 U/ml. The lipase enzyme activity whereas the negative control and a positive control differ significantly higher (P<0.05) to treatment with the addition of 2.5% TE, 2.0% GE and 2.5% TGE phytobiotic. The research concluded that the incorporation of 2.5% TE, 2% GE and combined 2.5% TGE as feed additive enhanced pancreatic enzyme activity.
Physicochemical Characteristics Identification and Secondary Metabolite Analysis of Solid Herbal Waste as Source of Feed Rich Fiber and Supplement for Ruminants
Authors: Kisworo Arif Nindyo , Agus Ali , Kustantinah Kustantinah , Suwignyo Bambang
Published: March 2023

A study was conducted to determine the potency, physicochemical characteristics, and analyzed the secondary metabolites content of solid herbal waste (SWH) as a substitute source of feed rich fibre and feed supplements in ruminants. The first study includes an analysis of production potential, physical analysis, and chemical composition analysis of SWH. The second study was an analysis of secondary metabolites content of SWH. The results showed that SWH volume reached 6-8 m3/day or 4020-5360 kg/day, the chemical composition of herbal solid waste was similar to king grass with high lignin content (17.53%). SWH containing total phenols, flavonoids, tannins, saponins , alkaloids and essential oils which generally have antimicrobial activity. According to the potential availability, chemical composition and secondary metabolites content of SWH, it can be used as an alternative for substitute of feed rich fiber or feed supplements with attention to the content of secondary metabolites that can affect the process of fermentation and digestibility in the rumen. Further in vitro and in vivo research ore needed to determine the effect of SWH on rumen fermentation parameters and its application in the ration in ruminant livestock.
Study on Callus Induction System of 4 Genotype of Napiergrass (Pennisetum purpureum )
Authors: Umami Nafiatul , Akashi Ryo , Gondo Takahiro , Ishigaki Genki , Tanaka Hidenori
Published: March 2023

The aim of this study was to produce callus induction potential of 4 napiergrass (Pennisetum purpureum) genotypes (Dwarf Late, Hybrid, Merkeron and Wrukwona). Callus was induced from shoot apices of shoot tillers  on MS media containing 2,4-D and BAP. On the MS medium containing 2 mg L–1 2,4-D and 0.5 mg L–1 BAP all genotypes could produce embryogenic calli, with different rate of growth. The best genotype for producing embryogenic calli was dwarf napiergrass in 60 day culture. These genotypes would be usefull for tissue cultured based research and for napiergrass improvement program, particularly in genetic transformation. Culturing shoot apices on MS medium containing 2 mgL–1 2,4-D and 0.5 mgL–1 BAP was more suitable than on MS medium containing 0.5 mgL–1 2,4-D.  In the subculture with similar medium composition, proliferation occured poorly on dwarf napiergrass, whereas none happened on the three other genotypes. On the hormon-free medium, all genotypes germinated in different rates. This research pointed out that dwarf napiergrass gave the best response toward induction medium. However, its proliferation and regeneration needed to be optimized in order to obtain more obvious data. This genotype would be usefull for tissue culture based research and for napiergrass improvement program, particularly in genetic transformation.
Effect of Carrot-Juice on Exopolisaccharides and β-D Galactosidase Activity in Yogurt
Authors: Radiati Lilik Eka , Jaya Firman , Oktavia Heldy
Published: March 2023

Carrot juice and milk  were  blended and fermented by  culture bacteria Streptococcus thermophillus  and Lactobacillus bulgaricus.  Carrot juice  affect significantly  on   lactic acid content   (1.09± 0.12% – 1.15± 0.01%),   pH value (3.80±0.06 – 4.17± 0.10),   viscosity  (133±2.30 cP–146±2.10cP),  β-carotene (0-173.19±1.02 µg/g), EPS (11.90 ±0.50 - 18.00 ±0.40 mg/100g),   β-D-galactosidase activity (2.27±0.30-192.40±0.48 µ/g) yogurt, but did not affect significantly on  bacteria number (9.0± 0.5 – 9.8±0.4 log CFU/g).    Carrot juice increased the yogurt culture activity with increasing acidifying, β-catotene, EPS and β-D-galactosidase, suggesting that yogurt could be fortified with carrot juice.
Molecularly Imprinted Polymer Solid-Phase Extraction (MISPE) for the Determination of Dinitro-ortho-cresol (DNOC) and Its Risk Assessment in Tomatoes
Authors: Rosmalina Raden Tina , Amran Muhammad Bachri , Ramadan Bimastyaji Surya , Priatni Sri , Fitria Novi
Published: March 2023

In this study, the molecularly imprinted polymer solid-phase extraction (MISPE) method for the determination of dinitro-ortho-cresol (DNOC) before HPLC (High-performance liquid chromatography) analysis was conducted. This study aims to analyze the sorption behavior and the potential use of molecularly imprinted polymers (MIP) for DNOC extraction. MIP was prepared using a combination of methacrylic acid as the functional monomer; ethylene glycol dimethacrylate as the crosslinker, benzoyl peroxide as the initiator, and acetonitrile as the porogen. The results showed that the optimum adsorption of the material was achieved at pH 5 for a contact time of 30 min with an adsorption capacity of 137 mg/g. The ideal eluent for desorption was a mixture of methanol and acetic acid with a ratio of 3:1. The calculations showed that the adsorption process followed the Sips adsorption isotherm model (n = 0.967), which indicated adsorption on both homogeneous and monolayer surfaces. Reusability studies that were conducted via three consecutive adsorption-desorption cycles resulted in recovery values of 109.4%, 108.8%, and 101.1%. The concentration of DNOC obtained from tomato samples was 0.65 mg/kg with a recovery rate of 87.17%; this was within the tolerable range between 80% and 110%. Based on the high recovery and low LoQ, this method can be used to quantify DNOC quickly.
Use of Calixarenes Bearing Benzoyl Groups for the Adsorption of Heavy Metals Cations: Equilibrium and Kinetics Studies
Authors: Busroni Busroni , Siswanta Dwi , Jumina Jumina , Santosa Sri Juari , Anwar Chairil
Published: March 2023

This study aims to examine the potential of p-tert-butylkalix[4]arene derivatives, namely 5,11,17,23-tetra-tert-butyl-25,26,27,28-tetrahydroxy-calix[4]arene (TBCA), and 5,11,17,23-tetra-tert-butyl-25-monohydroxy-26,27,28-tribenzoyloxycalix[4]arene (TBMTCA) as adsorbent for metal cations, such as Pb(II) and Fe(III). The synthesized compounds were characterized using FT-IR and 1H-NMR spectroscopy. The adsorption studies were then carried out with contact time as a parameter, while the kinetics were evaluated using the Lagergren and Ho-McKay equations. The isotherms were analyzed using the Langmuir and Freundlich equations. For the kinetics of TBCA adsorbents, Pb(II) cations followed the Ho-McKay model, while Fe(III) was based on Lagergren. Furthermore, for the TBMTCA adsorbent, Pb(II) followed the Lagergren kinetic model, while Fe(III) was based on the Ho-McKay. The cation adsorption isotherms of Pb(II)-TBCA, Pb(II)-TBMTCA, Fe(III)-TBCA, and Fe(III)-TBMTCA are more in line with the Langmuir model. These results indicate that they can be used as heavy metal adsorbents, and recycled to increase their economic value.
An Issue in Einstein’s Concept of Time
Authors: Niemz Markolf H. , Stein Siegfried W.
Published: March 2023

Today’s concept of time is based on Einstein’s theories of special (SR) and general relativity (GR). Many physicists anticipate that GR has an issue since it is not compatible with quantum mechanics. Here we show: SR and GR work well for each observer describing his unique reality, but “Einstein time” (Einstein’s concept of time) has an issue. It arranges all events in the universe in a 1D line on my watch, yet neither cosmology nor quantum mechanics care about my watch. Einstein time hides the big picture! In Euclidean relativity (ER), we replace egocentric Einstein time (proper time of one observer) with universal Euclidean time (proper time of all objects/observers). It originates from an absolute point O (Big Bang). In Euclidean spacetime (ES), all energy is moving radially away from O at the speed c. For each object, time flows in a unique 4D direction related to its position. Unlike other ER models, we claim that an observer’s reality is only created by projecting ES orthogonally to his proper 3D space and to his proper flow of time. ER gives us the same Lorentz factor as in SR and the same gravitational time dilation as in GR, but now we learn that they stem from a projection. ER outperforms SR in explaining time’s arrow and mc2. ER outperforms a GR-based cosmology in solving competing Hubble constants and declaring cosmic inflation, expansion of space, and dark energy redundant. Most important, ER is compatible with quantum mechanics: It solves the wave–particle duality and quantum entanglement while declaring non-locality redundant.
Splitting Algorithm for Numerical Solving of Parabolic Nonlinear Multi - Component Convection – Diffusion Mass Transfer Equations
Authors: Juncu Gheorghe , Popa Constantin , Sarbu Gheorghe
Published: March 2023

The splitting method developed in a previous study for linear, multi – component, convection-diffusion mass transfer equations is extended to non-linear, multi-component, convection-diffusion mass transfer equations. The diffusion term is non-linear (the diffusion coefficients depend on chemical species concentrations). Theoretical results about the splitting error are presented, as well as numerical simulations for mixtures with n ≤ 5. The numerical experiments show second-order accuracy and stability for the present splitting algorithm.
Texture features extraction technology using grey level co-occurrence matrix for the k-nearest neighbor classification of citrus disease: an agro-economic analysis
Authors:   UPN Veteran Yogyakarta, Kaswidjanti Wilis , Himawan Hidayatulah ,   UPN Veteran Yogyakarta, Putri Galih Wangi ,   UPN Veteran Yogyakarta
Published: March 2023

The citrus disease is a problem affecting the decrease of agricultural commodity yields. One way to determine disease in citrus is through the leaves. Leaves, as a place for photosynthesis, with the disease will cause stunted plant growth. This study revolves around an Agro-economic Analysis to classify citrus diseases based on leaf images by applying the Gray Level Co-occurrence Matrix (GLCM) extraction technology using K-Nearest Neighbor (KNN). To meet that aim, Otsu Thresholding segmentation is carried out to separate the disease’s image from the healthy leaves. This experiment was carried out in Yogyakarta, Indonesia over the year 2020, and 345 leaves were collected and divided into three classes: canker, greening, and healthy. Citrus disease classification has four main stages, namely pre-processing, segmentation, feature extraction, and classification. Comparisons are made based on the normalization of the dataset and the KNN distance used. Given the results, dataset without normalization gets the best results with Hassanat distance KNN (k = 29) with an accuracy of 91.86%. A dataset with normalization receives the best results at Euclidean distance (k = 7) with an accuracy of 98.84%. These results affirm the efficiency of this the method in distinguishing diseases. As a result, this study can contribute to improving the quality of crops and reducing unnecessary expenses of pesticides, and finally could play a role in the economics of development.
Quaternary Deposits of the Pritaymyr Islands (the Kara Shelf)
Authors: Gusev E.A. , Yarzhembovsky Ya.D. , Makariev A.A. , Molodkov A.N. , Maksimov F.E. , Kupriyanova N.V. , Kostromina N.A. , Rudenko O.V. , Krylov A.V. , Sharin V.V. , Sharapova A.Yu.
Published: March 2023

—The rarely visited islands of the Kara Sea in its Pritaymyr zone have been studied during a geological survey on the scale 1:1,000,000. The Quaternary deposits of the islands are represented by the Middle Neopleistocene to Holocene marine, lacustrine-marsh, alluvial and slope sediments. New radiocarbon and uranium-thorium dating has been obtained for the Quaternary sediments, using organic remains (wood, peat, mollusk shells). For the first time, dating on sandy sediments was obtained for the islands, using the method of infrared optically stimulated luminescence (IR-OSL). The sediments of marine terraces are of the greatest distribution on the islands; these sediments can be correlated with the Karginsky (MIS 3) horizon, lacustrine-marsh sediments and deposits of the cover complex, containing flora remains, mainly the Holocene.
Application of the Producer-Based Capacitance Resistance Model to Undersaturated Oil Reservoirs in Primary Recovery
Authors: Parra José E. , Samaniego-V Fernando , Lake Larry W.
Published: March 2023

We investigated the application and usefulness of the producer-based representation of the capacitance resistance model (CRM) to characterize single and multiwell undersaturated oil reservoirs during primary recovery.

The CRM is a physics-based, data-driven method that has been amply used to model reservoirs under different recovery stages, particularly during flooding processes. However, there have been very few applications to primary recovery. The previous work on primary recovery used the rate and bottomhole pressure (BHP) data to calculate the time constant or storage capacity, and the productivity index (PI) associated with each production well. Here, we incorporate popular productivity models in CRM, making the results comparable with those from pressure transient analysis (PTA) or rate transient analysis (RTA). We also investigate various topics that have not been discussed or that deserve a further explanation to include CRM in the reservoir engineering toolbox. These comprise constant and variable rate wells, transient flow, well location, well geometry, anisotropy, and different types of reservoir heterogeneity. CRM is systematically compared and validated against analytical and numerical models of single and multiwell reservoirs. We also use it to characterize flow in a real oil reservoir .

Our results demonstrate that CRM can provide important parameters for reservoir characterization using BHP and rate data acquired from routine production operations, that is, without the need to shut in wells or perform dedicated tests. It yields reasonable estimates of flow resistance properties that depend on reservoir geology, petrophysics, and well condition. It can also be applied during successive time intervals to assess changes in well-reservoir properties, such as drainage radius or the PI, an indication of well damage. Most importantly, we show that for several well-reservoir cases with multiple complexities, CRM can accurately capture the reservoir size, or the drainage pore volume (PV) associated with each well in developed fields, which enables the calculation of average pressure and helps assess interwell communication and opportunities for infill drilling.
Deep-insight visible neural network (DI-VNN) for improving interpretability of a non-image deep learning model by data-driven ontology
Authors: Sufriyana Herdiantri , Wu Yu Wei , Su Emily Chia-Yu
Published: March 2023

We aimed to provide a framework that organizes internal properties of a convolutional neural network (CNN) model using non-image data to be interpretable by human. The interface was represented as ontology map and network respectively by dimensional reduction and hierarchical clustering techniques. The applicability is to implement a prediction model either to classify categorical or to estimate numerical outcome, including but not limited to that using data from electronic health records. This pipeline harnesses invention of CNN algorithms for non-image data while improving the depth of interpretability by data-driven ontology. However, the DI-VNN is only for exploration beyond its predictive ability, which requires further explanatory studies, and needs a human user with specific competences in medicine, statistics, and machine learning to explore the DI-VNN with high confidence. The key stages consisted of data preprocessing, differential analysis, feature mapping, network architecture construction, model training and validation, and exploratory analysis.
Data and script to reproduce the results presented in: Evaluation of the extraction of methodological study characteristics with JATSdecoder
Authors: Böschen Ingmar
Published: March 2023

This protocol contains the data and R script to reproduce the analysis presented in: Böschen, I. (2023). Evaluation of the extraction of methodological study characteristics with JATSdecoder. Scientific Reports.
Antarctic snow algae: unraveling the processes underlying microbial community assembly during blooms formation
Authors: Soto Daniela F. , Gómez Iván , Huovinen Pirjo
Published: March 2023

Background and aims: At the West Antarctic Peninsula snow algae blooms are composed by complex microbial communities dominated by green microalgae and bacteria. During their progression, the assembly of these microbial communities occurs under harsh environmental conditions and a variable nutrient content due to fast snow melting. To date, it is still unclear what are the ecological mechanisms governing the composition and abundance of microorganisms during the formation of snow algae blooms. In this study, we aim to examine the main ecological mechanisms governing the assembly of snow algae blooms from early stages to colorful blooms.
Methods: The composition of the microbial communities within snow algae blooms was recorded in the West Antarctic Peninsula (O´Higgins base) during a 35-day period using 16S rRNA and 18S rRNA metabarcoding. In addition, the contribution of different ecological processes to the assembly of the microbial community was quantified using phylogenetic-bin-based null model analysis. Finally, using genome-scale metabolic models we assessed the potential for biotic interactions between algal species and bacteria trough the exchanging of metabolites.
Results: Our results showed that despite that dominant taxonomic groups changed during the formation of algae blooms neither diversity nor richness changed significatively. Likewise, in a nutrient rich environment, the content of macronutrients such as nitrate, ammonium, phosphate, and organic carbon did not play a major role in structuring the community. The quantification of ecological processes showed that the bacterial community assembly was governed by selective processes such as homogenous selection and potential biotic interaction between snow algae and dominant bacteria species. In contrast, the eukaryotic community was governed by stochastic processes such as dispersal limitation and drift, and in a lesser extent by homogenous selection.
Conclusions: Overall, our study highlights the differences in the microbial assembly between bacteria and eukaryotes in snow algae blooms and propose a model to integrate both assembly processes.
Fatigue in the general population: associations to age, gender, socioeconomic status, and physical activity -a web-based survey
Authors: RIMAUD DIANA , ESPEIT Loïc , MAT Franck LE , CUDEL Claire , CHAIGNEAU Cyril , LAPOLE Thomas , MILLET Guillaume
Published: March 2023

Background: Though fatigue is common in the general population, most studies investigating its predictors are either outdated or under-sampled, which can lead to conflicting results. This study aims to describe the factors associated with fatigue in the general adult population.
Methods: Using a web-based survey, 3008 participants were asked to self-report fatigue and physical activity status, using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) questionnaire and the Godin-Shepard Leisure-Time Physical Activity Questionnaire (GSLTPAQ). Questions regarding gender, geographical location and socioeconomic items were also included.
Results: Stepwise regression showed that the FACIT-F score was explained by age, gender and physical activity status (p<0.0001). Women had a highest level of fatigue than men (p<0.0001). Fatigue significantly decreased with age until 75 years, then increased again (p<0.0001). FACIT-F scores correlated positively with GSLTPA scores (r=0.075, p<0.0001). The physical activity status had a significant effect on fatigue (p<0.0001), i.e. insufficiently active respondents presented a significantly higher fatigue than moderately active and active respondents. There were significant effects of socio-professional categories (p<0.001) and standard of living (p<0.01) on fatigue.
Conclusion: Fatigue is strongly associated with female gender, lower age and a lack of physical activity. Lower-income social-professional groups are also more likely to experience fatigue, while the retired seem to be more spared from fatigue than others. Since fatigue is associated with quality of life, it should be considered as a major public health issue, particularly in women, young and insufficiently active people.
Ethnopharmacology and Species diversity of Pteridophyta in Cyathea Park, Bali: A Field study and Literature Review
Authors: Juliasih Ni Ketut Ayu , Adnyana I Made Dwi Mertha
Published: March 2023

Pteridophyta has been studied and conserved at the botanical garden. However, few have found and documented the medicinal properties of Pteridophyta species. The study identified species diversity and ethnopharmacology of Pteridophyta collected in Cyathea Park, Bali. Field exploration research and literature review were used in this study. The research was conducted by directly exploring the species of Pteridophyta collected in Cyathea Park, Bali and literature studies on the benefits and ethnopharmacology of Pteridophyta species are used as candidates and raw materials for traditional medicine. Data search is carried out systematically by utilizing databases and keywords. All the data is examined qualitatively and descriptively. The study's findings indicate nine species: Cyathea contaminans (Wall.ex Hook) Copel, Asplenium nidus L., Asplenium sp., Selaginella sp., Diplazium esculentum., Angiopteris evecta (G.Forst.) Hoffm, Cyatheasp., Nephrolepis hirsutula (Forst), and Dicksonia blumei (Kunze) Moore. The leaves and shoots are the most frequently used raw materials in medicine. At the same time, the roots, stems, and hair are utilized in planting mediums, crafts, games, and food production. Pteridophyta species treat fever, cough, anticonvulsant, antibacterial, anti-inflammatory, antipyretic, antidiuretic, antioxidant, insecticide, larvicide, diabetes, and anti-retroviral. As many as nine identified species Pteridophyta in Cyathea Park, Bali has benefits as traditional medicinal agents and has been widely used by the people as the culture of the archipelago. Its pharmacological, phytochemical and toxicity properties need further investigations.
Lethal and sublethal effects on stingless bee (Partamona helleri) larvae caused by chronic exposure to three agrochemicals
Authors: Botina Lorena Lisbetd , Barbosa Wagner Faria , Acosta João Paulo Lima , Bernardes Rodrigo Cupertino , Cortes Johana Elizabeth Quintero , Pylro Victor Satler , Mendonça Adriana Correa , Barbosa Renata Cristina , Lima Maria Augusta P. , Martins Gustavo Ferreira
Published: March 2023

Over the last few decades, agrochemicals have been partially associated with a global reduction in bees. Toxicological assessment is crucial for understanding the overall agrochemical risks to stingless bees. Therefore, the lethal and sublethal effects of agrochemicals commonly used in crops (copper sulfate, glyphosate, and spinosad) on the behavior and gut microbiota of the stingless bee, Partamona helleri, were assessed using chronic exposure during the larval stage. The recommended field doses of CuSO4 (200 Active Ingredient, a.i., µg) and spinosad (8,16 a.i. µg) reduced survival, but not glyphosate (148 a.i. µg). No significant adverse effects on bee development were observed in any treatment with CuSO4 or glyphosate, but spinosad increased the number of deformed bees and reduced their body mass. Agrochemicals changed the behavior of bees and composition of the gut microbiota of adult bees, and metals such as copper accumulated in the bees’ bodies. The response of bees to agrochemicals depends on the class or dose of the ingested compound. In vitro rearing of stingless bees larvae is a useful tool to elucidate the sublethal effects of agrochemicals.
Machine Learning Techniques for the Identification of Risk Factors Associated with Food Insecurity among Adults in Arab countries during the COVID-19 Pandemic
Authors: Qasrawi Radwan , Hoteit Maha , Tayyem Reema , Bookari Khlood , Sabbah Haleama Al , Kamel Iman , Dashti Somaia , Allehdan Sabika , Bawadi Hiba , Waly Mostafa , Ibrahim Mohammad , Polo Stephanny Vicuna , Al-Halawa Diala Abu
Published: March 2023

Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has further aggravated food insecurity among vulnerable communities, and thus has sparked the global conversation of equal food access, food distribution, and improvement of food support programs. This research was designed to identify the key features associated with food insecurity during the COVID-19 pandemic using Machine learning techniques. Seven machine learning algorithms were used in the model, which used a dataset of 32 features. The model was designed to predict food insecurity across ten Arab countries in the Gulf and Mediterranean regions. A total of 13,443 participants were extracted from the international Corona Cooking Survey conducted by 38 different countries during the COVID -19 pandemic.
Results: The findings indicate that Jordanian, Palestinian, Lebanese, and Saudi Arabian respondents reported the highest rates of food insecurity in the region (15.4%,13.7%,13.7% and 11.3% respectively). On the other hand, Oman and Bahrain reported the lowest rates (5.4% and 5.5% respectively). Our model obtained accuracy levels of 70%-82% in all algorithms. Gradient Boosting and Random Forest techniques had the highest performance levels in predicting food insecurity (82% and 80% respectively). Place of residence, age, financial instability, difficulties in accessing food, and depression were found to be the most relevant features associated with food insecurity.
Conclusions: Overall, ML algorithms seem to be an effective method in early detection and prediction of food insecurity. Future research would benefit from utilizing the proposed model in developing more complex and accurate models aiming to enhance granularity, with the ability to share data, to incorporate wide range of variables, and to make use of automation for effective prevention and intervention programs at the regional and individual levels.
Exploring the Impact Mechanism of Executives' Environmental Attention on Corporate Green Transformation—Evidence from MD&A Textual Analysis of Chinese Companies
Authors: Ding Xiaowei , Xu Zhenpeng , Petrovskaya Maria V. , Wu Kaikun , Ye Lyu , Sun Yao , Makarov Vasiliy M.
Published: March 2023

The allocation of executives' environmental attention (EEA) is of great significance in promoting the green upgrading of industrial structures and achieving corporate green transformation. Based on upper echelon theory and the attention-based view, we use panel data of Chinese manufacturing companies from 2015-2020 to construct a two-way fixed effects model to explore the impact mechanism of EEA on corporate green transformation performance (CGTP). Baseline regression shows that EEA significantly improves CGTP. The reliability of findings is verified by reducing time windows, replacing the independent variable, expanding the data source and adding missing variables. In the heterogeneity analysis, the positive effect of EEA on CGTP is significant for eastern companies and does not differ in the property rights grouping. After propensity score matching, environmental attributes grouping shows that the positive effect of EEA on CGTP is more significant for non-heavy polluters. Extended research shows that government subsidies have a positive moderating effect, while female executives play only a symbolic role. Moreover, green innovation activities have positive partial mediating effects. Green innovation is the best way to address environmental pollution and achieve corporate green transformation. Our research provides implications for decision-makers to allocate their attention, and thereby achieve green development appropriately.
On the analysis of a heterogeneous coupled network of memristive Chialvo neurons.
Authors: Ghosh Indranil , Muni Sishu Shankar , Fatoyinbo Hammed Olawale
Published: March 2023

We perform a numerical study on the application of electromagnetic flux on a heterogeneous network of Chialvo neurons represented by a ring-star topology. Heterogeneities are realized by introducing additive noise modulations on both the central-peripheral and the peripheral-peripheral coupling links in the topology not only varying in space but also in time. The variation in time is understood by two coupling probabilities, one for the central-peripheral connections and the other for the peripheral-peripheral connections respectively, that update the network topology with each iteration in time. We have further reported the rich spatiotemporal patterns like two-cluster states, chimera states, coherent, and asynchronized states that arise throughout the network dynamics. We have also investigated the appearance of a special kind of asynchronization behavior called "solitary nodes" that have a wide range of applications pertaining to real-world nervous systems. In order to characterize the behavior of the nodes under the influence of these heterogeneities, we have studied two different metrics called the "cross-correlation coefficient" and the "synchronization error". Additionally, to capture the statistical property of the network, for example, how complex the system behaves, we have also studied a measure called "sample entropy". Various two-dimensional color-coded plots are presented in the study to exhibit how these metrics/measures behave with the variation of parameters.
A microdeletion del(12)(p11.21p11.23) with a cryptic unbalanced translocation t(7;12)(q21.13;q23.1) implicates new candidate loci for intellectual disability and Kallmann syndrome
Authors: Ben-Mahmoud Afif , Kishikawa Shotaro , Gupta Vijay , Leach Natalia T. , Shen Yiping , Moldovan Oana , Goel Himanshu , Hopper Bruce , Ranguin Kara , Gruchy Nicolas , Maas Saskia M , Lacassie Yves , Kim Soo-Hyun , Kim Woo-Yang , Quade Bradley J. , Morton Cynthia C. , Kim Cheol-Hee , Layman Lawrence C. , Kim Hyung-Goo
Published: March 2023

In an apparently balanced translocation t(7;12)(q22;q24)dn exhibiting both Kallmann syndrome (KS) and intellectual disability (ID), we detected a cryptic heterozygous 4.7 Mb del(12)(p11.21p11.23) unrelated to the translocation breakpoint. This new finding raised the possibility that KS combined with neurological disorder in this patient could be caused by gene(s) within this deletion at 12p11.21-12p11.23 instead of disrupted or dysregulated genes at the genomic breakpoints. Screening of five candidate genes at both breakpoints in 48 KS patients we recruited found no mutation, corroborating our supposition. To substantiate this hypothesis further, we recruited six additional subjects with small CNVs and analyzed eight individuals carrying small CNVs in this region from DECIPHER to dissect 12p11.21-12p11.23. We used multiple complementary approaches including a phenotypic-genotypic comparison of reported cases, a review of knockout animal models recapitulating the human phenotypes, and analyses of reported variants in the interacting genes with corresponding phenotypes. The results identified one potential KS candidate gene (TSPAN11), seven candidate genes for the neurodevelopmental disorder (TM7SF3, STK38L, ARNTL2, ERGIC2, TMTC1, DENND5B, and ETFBKMT), and four candidate genes for KS with ID (INTS13, REP15, PPFIBP1, and FAR2). The high-level expression pattern in the relevant human tissues further suggested the candidacy of these genes. We propose that the dosage alterations of the candidate genes may contribute to sexual and/or cognitive impairment in patients with KS and/or ID. Further identification of point mutations through next generation sequencing will be necessary to confirm their causal roles.
Influence of China’s Green Finance on Enterprises’ Green Technology Innovation
Authors: Zeng Qian , Tong Yijie , Yang Yiying
Published: March 2023

This paper examines the impact of a green financial reform pilot zone policy on the enterprises’ green technology innovation level. This is done in tandem with the emergence of a market-driven sustainable technology innovation system and the rapid growth of green finance. In this paper, a difference-in-differences model is built using panel data of A-share listed companies from 2012 to 2020. The findings indicate that the sustainable technology innovation of enterprises has been considerably aided by the green finance reform pilot zone policy. In terms of enterprise heterogeneity, the implementation of this regulation will make a greater contribution to the innovative activities of large-scale firms, state-owned enterprises, and non-heavily polluting enterprises. Further examination of the influence mechanism reveals that green financial policies can encourage sustainable technology innovation by firms by easing finance funding limitations and improving signaling effects. Simultaneously, the mechanism of improving enterprises' green technology innovation through external market surveillance is not effective. This paper proposes policy recommendations to help green finance improve the sustainable transformation of enterprises.