bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Work and Digital Activism: Sorority, Intersectionality, Homophily and Polarisation in #MeToo
Authors: Castillo de Mesa Joaquín , Marcuello-Servós Chaime , López Peláez Antonio , Méndez Domínguez Paula 
Published: June 2021

Introduction. Social Work is currently facing the significant challenge of dealing with social networking sites – which have become a parallel universe of socialisation – in which ever-increasing digital activism is taking place. The #MeToo movement stands out as a global benchmark. It has established itself as a digital-global feminist movement, fighting harassment and the abuse of women. Methodology. Adopting a social work perspective, a longitudinal analysis was performed of the #MeToo movement on Twitter between 2018-2019 based on social network analysis and netnography, in conjunction with specific algorithms. Results. The results showed significant patterns of sorority, homophily and affective polarisation through the echo chambers and filter bubbles that were identified in the detected Twitter communities. Furthermore, these online communities reflected real offline characteristics (geographical location, affinities, similarities). Discussion and conclusions. The #MeToo movement’s global effect and durability has led to a new understanding of social movements in the digital era. Social workers must not be blind to the exciting digital opportunities arising from digitalisation. They must combat homophily and the polarisation of global society on social networking sites, promoting values oriented towards tolerance of diversity. Practitioners must show awareness and intervene proactively in global digital spheres to understand, reflect and promote social justice, equality of rights and the empowerment of disadvantaged, vulnerable and oppressed people.
Is More Mittelstand the Answer? Firm Size and the Crisis of Democratic Capitalism
Authors: Kohl Sebastian , Ergen Timur 
Published: June 2021

Abstract
Corporate concentration is currently being discussed as a core reason for the crisis of democratic capitalism. It is seen as a prime mover for wage stagnation and alienation, economic inequalities and discontent with democracy. A tacit coalition of progressive anti-monopoly critiques and small business promoters considers more deconcentrated corporate structures to be a panacea for the crisis of democratic capitalism, arguing that small firms in competition are better for employment, equality and democracy. This paper offers a brief outline of ideas of the anti-monopoly and small business ideal and critically evaluates whether a more deconcentrated economy may live up to these promises. While we agree that the plea for strengthened antitrust enforcement contains relevant and promising prospects for reform, our analysis concludes on a decidedly critical note. In particular, we caution against romanticized notions of the small capitalist firm.
The Skilful Origins of Human Normative Cognition
Authors: Birch Jonathan 
Published: June 2021

Abstract
I briefly present and motivate a ‘skill hypothesis’ regarding the evolution of human normative cognition. On this hypothesis, the capacity to internally represent action-guiding norms evolved as a solution to the distinctive problems of standardizing, learning and teaching complex motor skills and craft skills, especially skills related to toolmaking. We have an evolved cognitive architecture for internalizing norms of technique, which was then co-opted for a rich array of social functions. There was a gradual expansion of the normative domain, with ritual playing an important role in bridging the gap between concrete, enacted norms and general, abstract norms, such as kinship norms. I conclude by stating nine predictions arising from the skill hypothesis.
Synthesis and spectral characterizations of vanadyl(ii) and chromium(iii) mixed ligand complexes containing metformin drug and glycine amino acid
Authors: Aljazzar Samar O. 
Published: June 2021

Abstract
Metformin is one of the most effective drugs for the treatment of type II diabetes. Two new mixed ligand complexes of vanadyl(ii) and chromium(iii) ions with the general formula [VOL1L2]SO4 and [CrL1L2(Cl)2]Cl, respectively, where L1 is the metformin and L2 is the glycine amino acid, have been synthesized in MeOH solvent with 1:1:1 stoichiometry and characterized by several spectroscopic techniques. The spectroscopic data suggested that the [VOL1L2]SO4 complex possesses a square pyramidal geometry, where the [CrL1L2(Cl)2]Cl complex possesses an octahedral geometry. The L1 ligand coordinated to the VO(ii) and Cr(iii) ions via the N atoms of the imino (‒C═NH) groups, where the L2 ligand coordinated via the O atom of the carboxylate group (COO) and the N atom of the amino group (NH2). The interaction of ligands L1 and L2 with the metal ions leads to complexes that have organized nanoscale structures with a main diameter of ∼14 nm for the [CrL1L2(Cl)2]Cl complex and ∼40 nm for the [VOL1L2]SO4 complex.
Data-driven design of deployable structures: Literature review and multi-criteria optimization approach
Authors: Dragoljevic Milan , Viscuso Salvatore , Zanelli Alessandra 
Published: June 2021

Abstract
Classification and development of the deployable structures is an ongoing process that started at the end of 20th century and is getting more and more attention throughout 21st. With the development of the technology, constructive systems and materials, these categorizations changed – adding new typologies and excluding certain ones. This work is giving a critical review of the work done previously and on the change of the categories. The special interest is given to the pantographs (or scissor structures) and the Zeigler’s dome as the form of their application. It is noticeable that after its introduction in 1977, the dome was a part of the initial classification, but with the time it lost its place. The reason for this is the introduction of more efficient scissor dome structures. However, perhaps with the use of data-driven design, this dome can be optimized and become relevant again.
The second part of the paper is dedicated to the development of the structural optimization algorithm for panto-graph structures and its application on the example of Zeigler’s dome. Besides the direct analysis, the final part includes the generative optimization algorithm which could help to a decision-maker in the early stages of the design to understand and select the options for the structure.
El colegio: primer escenario para aprender de seguros
Authors: Novoa Mónica , Guzmán Useche Hugo Armando 
Published: June 2021

El presente reporte de investigación se basa en el proyecto bautizado “Insólito”, que fue diseñado y liderado por la Fundación Junior Achievement Colombia (FJAC). El proyecto invita a los jóvenes a conocer, identificar y reflexionar sobre los seguros, los cuales proveen protección y respaldo para las pérdidas imprevistas, evitando el retraso y abandono de los deseos y sueños propios de cada individuo; lo cual, indica la experiencia, es lo que suele suceder cuando ocurren imprevistos y se ven forzados a luchar “exclusivamente” por subsistir durante la etapa más productiva de la vida. Por medio de juegos y actividades lúdicas se pretende involucrar al joven en el mundo de los seguros.
Los jóvenes que participaron en el proyecto se encontraban cursando décimo grado y se buscaba que se informaran y tomaran buenas decisiones en la adquisición de productos de seguros. Para este grupo se acercaba el momento de salir a la fuerza de trabajo, de independizarse, de consumir productos y servicios, de manera independiente a su núcleo familiar.
La respuesta de los jóvenes fue satisfactoria, no se encontraban alejados de los beneficios que genera el comprar una póliza, fueron conscientes que existe la necesidad de hacerlo y les llamó la atención la información suministrada.
The Evaluation of the Addition of Commercial Yeast with β -Glucan Content in Feed on the Immunity of Snakehead Fish Channa striata Infected by Aeromonas hydrophila Bacteria
Authors: Anjani Tiara Puspa , Wahjuningrum Dinamella , Nuryati Sri , Khasani Ikhsan 
Published: June 2021

Snakehead fish Channa striata is a high commercial freshwater fish commodity. It has the potential as a pharmaceutical ingredient. Intensive snakehead fish cultivation starts to experience a problem, namely Motile Aeromonas Septicemia (MAS) caused by Aeromonas hydrophila. The purpose of this study is to evaluate the effect of the addition of commercial yeast in feed to improve snakehead fish immunity. This study was designed with a completely randomized design (CRD) with 5 treatments with 3 replications (reared in the net) and 6 treatments with 3 replications (reared in the aquarium). The treatments were K (feed without yeast), F5 (feed with the addition of 5 g/kg of cake yeast), R3 (feed with the addition of 3 g/kg of tempeh yeast, R5(feed with the addition of 5 g/kgof tempeh yeast), and R7 (feed with the addition of 7 g/kg of tempeh yeast). The results show that the survival rate after 30 days is 88.89- 92.22%. The best treatment after A. hydrophila infection was found in fish fed with 3 g/kg oftempehyeast with a survival rate of 56.67%, total erythrocytes of 4.07x 106 mm-3 cells, hemoglobin of 7.40 g% of total leukocytes 4.97x 104 mm-3 cells and phagocytic activity of 33.67. In conclusion, the addition of tempeh yeast at a dose of 3 g/kg could be used as an alternative to prevent the effect of A. hydrophila pathogen infection in snakehead fish.
HUBUNGAN ASUPAN ENERGI, MAKRONUTRIEN, ZINK DAN FE DENGAN UNDERWEIGHT PADA IBU DAN BALITA DI DESA SUWARI BAWEAN, GRESIK
Authors: Fitriyah Nurul , Setyaningtyas Stefania Widya 
Published: June 2021

ABSTRAK Latar Belakang : Underweight masih menjadi salah satu masalah gizi di Indonesia. Balita merupakan kelompok usia yang rentan mengalami masalah gizi khususnya underweight. Salah satu penyebab langsung terjadinya underweight adalah asupan zat gizi. Asupan zat gizi makro (energi, protein, lemak dan karbohidrat) dan zat gizi mikro seperti zink dan zat besi yang rendah dapat menyebabkan pemanfaatan zat gizi didalam tubuh tidak optimal sehingga menyebabkan masalah gizi dan rentan mengalami penyakit infeksi.Tujuan: Tujuan dari penelitian ini adalah menganalisis hubungan asupan energi, protein, lemak, karbohidrat, zink dan fe dengan underweight pada ibu dan balita.Metode: Penelitian ini menggunakan desain studi case control dengan jumlah sampel 30 ibu dan 30 balita yang tinggal di wilayah Desa Suwari Bawean Gresik. Pengumpulan data dilakukan dengan wawancara menggunakan kuesioner terkait karakteristik keluarga, karakteristik ibu dan balita, form food recall 3x24 jam, form frequency questionere, form keragaman pangan, dan pengukuran antropometri seperti berat badan dan tinggi badan. Data dianalisis menggunakan uji chi square.Hasil: Hasil dari penelitian ini menunjukkan ibu dan balita underweight 50% dan ibu dan balita dengan status gizi normal 50%. Sebagian besar ibu memiliki tingkat asupan energi, lemak, karbohidrat, zink dan zat besi yang kurang, sedangkan sebagian besar balita memiliki tingkat asupan karbohidrat dan zink yang kurang. Terdapat hubungan antara asupan zink dengan underweight pada ibu (p=0,031) dan juga terdapat hubungan antara zat besi dengan underweight pada balita (p=0,032).Kesimpulan: Ibu dan balita dengan status gizi underweight memiliki tingkat kecukupan asupan energi, lemak, karbohidrat, zink dan zat besi lebih rendah dibandingkan dengan ibu dengan status gizi baik. Perlu meningkatkan asupan bahan makanan sumber energi, lemak, karbohidrat, zink dan zat besi pada ibu dan meningkatkan asupan bahan makanan sumber karbohidrat dan zink pada balita serta konsumsi makanan bervariasi agar masalah gizi underweight tidak memburuk.
Methamphetamine in Orthopaedics
Authors: Cornwell David Q. , Thompson Austin R. , Ivie Ryan M. , Working Zachary M. , Friess Darin M. , Meeker James E. 
Published: June 2021

» Methamphetamine use by orthopaedic trauma patients has risen to epidemic proportions.» Perioperative methamphetamine use by orthopaedic trauma patients requires physicians to consider both medical and psychosocial factors during treatment.» Behavioral and psychosocial effects of methamphetamine use present barriers to care.» Patients who use methamphetamine face elevated rates of complications.
Flipbook Based Booklets as One of Agricultural Ecology Learning Media
Authors: Aria Indah Susanti  , Nia Agus Lestari  
Published: June 2021

Media pembelajaran yang menarik tentunya akan menarik perhatian dan minat belajar mahasiswa. Penelitian ini dilakukan dengan tujuan mengembangkan booklet berbasis flipbook sebagai salah satu media pembelajaran materi kelimpahan dan keanekaragaman organisme tanah bioindikator kesuburan lahan pertanian. Jenis penelitian ini adalah pengembangan media pembelajaran berupa booklet berbasis flipbook dengan model pengembangan 4D yang terdiri dari 4 fase. Fase tersebut meliputi pendefinisian, perancangan, pengembangan, dan penyebaran. Hasil penelitian berupa hasil validasi dan angket respon mahasiswa. Hasil validasi media menunjukkan bahwa penilaian booklet berbasis flipbook dinyatakan valid dengan nilai rata-rata secara keseluruhan dari kedua validator adalah 3,56. Sedangkan hasil validasi materi dinyatakan valid dengan nilai rata-rata secara keseluruhan dari kedua validator adalah 3,69. Hasil ujicoba kelompok kecil yang dilakukan pada 15 mahasiswa menghasilkan skor rata-rata sebesar 3,36 dan berada pada kriteria sangat baik. Oleh karena itu, berdasarkan hasil tersebut maka dapat disimpulkan booklet berbasis flipbook mudah digunakan, mudah dioperasikan, atraktif, dan mudah dimengerti.

Kata kunci: booklet, flipbook, media pembelajaran, ekologi
WITHDRAWN: Nonlinear ODE mathematical analysis of the insulin-glucose model in the presence of a condition in glycemia function H(G).
Authors: Gamboa Diana , Coria Luis N. , Valle Paul A. 
Published: June 2021

Abstract
This work aims to analyze a fifth-order nonlinear ordinary differential equations that describe the glucoregulatory model system based on intravenous injection of glucose via in-vivo experimentation in rats reported previously in the literature. A mathematical analysis shows that existence of an invariant plane condition associated with insulin can determine a type 1 or type 2 diabetes classification. The bounded positive invariant domain (BPID) by applying the Lyapunov direct method establishes a mathematical preamble where maximum cell population is associated to an upper bound set given by a localizing function by applying the LCIS (Localizing Compact Invariant Set) method. Furthermore, an equilibrium point's existing condition is defined if U(t) is an invariant plane and H(G) exists. Also are discussed parameter conditions for renal glucose excretion (k5) and the rate constant of glucose absorption (ka) as a case of study when glycemia function presents existence conditions with or without insulin variable.
Plasma Cell Sensor Using Photonic Crystal Cavity
Authors: Zaky Zaky , Moustafa B. , Aly Arafa H. 
Published: June 2021

Abstract
The performance of one-dimensional photonic crystal for plasma cell application is studied theoretically. The geometry of the structure can detect the change in the refractive index of the plasma cells in a sample that infiltrated through the defect layer. We have obtained a variation on the resonant peak positions using the analyte defect layer with different refractive indices. The defect peak of the optimized structure is red-shifted from 2195 nm to 2322nm when the refractive index of the defect layer changes from 1.3246 to 1.3634. This indicates a high sensitivity of the device (S=3300 nm/RIU) as well as a high Q-factor (Q=103). The proposed sensor has a great potential for biosensing applications and the detection of convalescent plasma.
The Effect of Cellulose Particles with Different Structure on the Stability of Thyme Oil Emulsion
Authors: Niu Fuge , Zhang Bin , Du Yixuan , Hu Demei , Ma Shuang , Pan Weichun 
Published: June 2021

Abstract
The thyme oil emulsion was prepared using a novel type of spherical nanocellulose obtained under different hydrolysis time. The effect of different nanocellulose structures on the interfacial adsorption properties of emulsion and loading efficiency of thyme oil were analyzed. The results showed the particle size of emulsion decreased with the increasing of hydrolysis time. The loading efficiency of all emulsions for thyme oil reached about 80%. The retention rate of thyme oil decreased during the storage period, and rising temperatures will exacerbate the loss of thyme oil. Compared to the 2 h, emulsions stabilized by 10 h nanocellulose exhibited better stability and higher retention at all storage conditions. This was mainly due to the fact the nanocellulose (10 h) formed a dense structure that prevented the essential oils from volatilizing and migrating. The experimental results confirmed that cellulose can be used as stabilizer to encapsulate and transport hydrophobic active ingredient.
A Non-conventional Approach to Understanding the Geographical Influence on the Transmission of SARS-CoV-2 and IFR
Authors: Ketipearachchi Udaya 
Published: June 2021

Abstract
Transmission of SARS-CoV-2 is not well understood and different models are needed (i.e. one model cannot answer it all) to understand and fight this disease. Here, we present two models based on indirect transmission of SARS-CoV-2 that explain the influence of ambient temperature and air pollution on outdoor and indoor behavior of SARS-CoV-2. These models discuss the temperature dependency of the lethality of SARS-CoV-2 and its spread during indoor and outdoor exposure. Furthermore, the temperature effect on the half-life of SARS-CoV-2 is discussed if the SARSCoV-2 is transmitted via particulate matter or surfaces. It is also important to understand the role of dew point instead of the humidity factor alone as the combined effect of temperature and humidity might play a major role in the transmission of SARS-CoV-2 .
Resonance for analog recurrent neural network
Authors: Qu Yurui , Zhou Ming , Khoram Erfan , Yu Nanfang , Yu Zongfu 
Published: June 2021

Abstract
There is a strong interest in using physical waves for artificial neural computing because of their unique advantages in fast speed and intrinsic parallelism. Resonance, as a ubiquitous feature across many wave systems, is a natural candidate for analog computing in temporal signals. We demonstrate that resonance can be used to construct stable and scalable recurrent neural networks. By including resonators with different lifetimes, the computing system develops both short-term and long-term memory simultaneously.
A Dockerized Big Data Architecture for Sports Analytics
Authors: Özgüven Yavuz Melih , Gönener Utku , Eken Süleyman 
Published: June 2021

Abstract
The revolution of big data has also affected the area of sports analytics. Many big companies have started to see the benefits of combining sports analytics and big data to make a profit. Aggregating and processing big sport data from different sources becomes challenging if we rely on central processing techniques, which hurts the accuracy and the timeliness of the information. Distributed systems come to the rescue as a solution to these problems and the MapReduce paradigm is promising for large-scale data analytics. In this study, we present a big data architecture based on Docker containers in Apache Spark. We demonstrate the architecture on four data-intensive case studies including structured analysis, streaming, machine learning methods, and graph-based analysis in sport analytics, showing ease of use.
Macroscopic stress-strain response and strain localization behavior of biopolymer-treated soil
Authors: Soldo Antonio , Miletic Marta , Aguilar Victor 
Published: June 2021

Abstract
Enhancement of soil engineering properties with biopolymers has been shown recently as a viable and environmentally benign alternative to cement and chemical stabilization. Interest in biopolymer-treated soil is evident from the upsurge of related research activities in the last five years, most of which have been of experimental nature. However, biopolymers have not yet found their way into engineering practice. One of the reasons for this may be the absence of computational models that would allow engineers to incorporate biopolymer-treated soil into their designs. Therefore, the main goal of this study is to numerically capture a macroscopic stress-strain response and investigate the effect of biopolymers on the onset of strain localization. Several diagnostic strain localization analyses were conducted, thus providing strain and stress levels at the onset of strain localization, along with the orientations of the deformation band. Several unconfined compression and triaxial tests on the plain and biopolymer-treated soils were modeled. Results showed that biopolymers significantly improved the mechanical behavior of the soil and affected the onset of strain localization. The numerical results were confirmed by the digital image analysis of the unconfined compression tests. Digital image processing successfully captured high strain concentrations, which tend to occur close to the peak stress.
A New Vaccine Targeting the S1 of the S Protein Induce Mice Immune Response against COVID-19
Authors: Jie Zhen-Wang , Sun Wei-Hong , Wang Xiao-Na , Lin Yu-Ting , Zhang Zi-Yan , Weng Kai , He Hua-Mei , Lin David 
Published: June 2021

Abstract
The authors have requested that this preprint be removed from Research Square.
Scientific multi-agent reinforcement learning for wall-models of turbulent flows
Authors: Bae H. Jane , Koumoutsakos Petros 
Published: June 2021

Abstract
The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and the advent of machine learning have provided a boost to these modeling efforts. However, simulations of turbulent flows remain hindered by the inability of heuristics and supervised learning to model the near-wall dynamics. We address this challenge by introducing scientific multi-agent reinforcement learning (SciMARL) for the discovery of wall models for large-eddy simulations (LES). In SciMARL, discretization points act also as cooperating agents that learn to supply the LES closure model. The agents self-learn using limited data and generalise to extreme Reynolds numbers and previously unseen geometries. The present simulations reduce by several orders of magnitude the computational cost over fully-resolved simulations, while reproducing key flow quantities. We believe that SciMARL creates new capabilities for the simulation of turbulent flows.