bluuebunny/crossref_metadata_2025_split huggingface dataset:
React: A detailed survey
Authors: Komperla Varun , Pratiba Deenadhayalan , Ghuli Poonam , Pattar Ramakanthkumar 
Published: June 2022

<span>developments in technology and the ever-growing number of web applications, it has become a necessity to create fast and scalable applications to cater to the current market. There are a plethora of frameworks available for web development, and a developer must choose the most appropriate framework for their use. In this paper, a detailed analysis of the history, prominent features and advantages of React, an open-source JavaScript library is presented. A discussion on React Native, a framework for building native applications is also given. This paper has provided an insight into the reason React is the leading web development framework in the world.</span>
Development of geo-referenced agricultural map and management information system for Samar Island
Authors: Sabate Charito Dela Cruz , Labrador Mirador 
Published: June 2022

This study focuses <span>on the developed web-based information system which allows <a name="_Hlk100824864"></a>local government unit (LGU) in Samar Island and other agricultural sectors to have access to updated farmers’ information and the soil nutrient, soil fertility status, and the crop suitability of soil in the different municipalities of Samar. Geo-referenced agricultural map and management system can be an important tool for both operational and policy levels by accelerating the supply of up-to-date data, supporting the implementation of different types of projects targeting objectives such as municipal development, regional economic development, agricultural development, sustainable resource management, good governance, and many others. The management information system was developed using MySQL. The server-side language used in this study was PHP and the client-side language used was hypertext markup language (HTML). The map was created using Mapbox GL JS, then, geo-referenced map layers are saved to the local server as an array map for direct access via the front-end web application. With the use of the system, LGU in Samar Island and other agricultural sectors can implement project more efficiently because farmers’ information and the nutrient capacity of the soil is readily available.</span>
Sentiment analysis on vaccine COVID-19 using word count and Gaussian Naïve Bayes
Authors: Ramadhan Nur Ghaniaviyanto , Adhinata Faisal Dharma 
Published: June 2022

Since the <span>Coronavirus disease 2019 (COVID-19) pandemic hit the world, it had a significant negative impact on individuals, governments, and the global economy. One way to reduce the negative impact of COVID-19 is to vaccinate. Briefly, vaccination aims to enable the formed immune system to remember the characteristics of the targeted viral pathogen and be able to initiate an immune response that is rapid and strong enough to defeat future live viral pathogens. However, there are still many people in the world who are anti-vaccine. This certainly greatly hampers the process of accelerating the formation of the body's immune system widely in the community. Anti-vaccine people can be found on various social media platforms. Twitter was chosen as the data source because twitter is a common source of text for sentiment analysis. This study aims to analyze public sentiment on the COVID-19 vaccine through twitter in the form of tweets and retweets. This study uses the Gaussian Naïve Bayes method to see the results of the classification of sentiment analysis. The results obtained based on experiments prove that the Gaussian Naïve Bayes method can produce an average accuracy of 97.48% for each vaccine dataset used.</span>
A bootstrap aggregation approach for adequate crop fertilizer and nutrition recommendation
Authors: D. N. Varshitha , Choudhary Savita 
Published: June 2022

Agriculture is the <span>largest workforce of India and biggest contributor to the Indian economy. Improving agricultural practices with the help of modern computer science technologies have great scope. Helping the farmers to know about their soil fertility, crops which can be grown and fertilizers or nutrients required for their land will be valuable inputs for them. Too much or too little fertilizers may harm the soil, so right amount of fertilization is also important. In this paper we have discussed about the bootstrap aggregation regression method, which is an ensemble machine learning technique to recommend the optimum level of nutrients and fertilizers. Hence customized nutrients recommendation reports could be generated to suggest the fertilizers and nutrients with their adequate quantities. This will be really beneficial for farmers to maintain the soil health and helpful for better crop growth and yield. We consider the features and levels of soil parameters such as nitrogen, phosphorus, potassium (NPK), pH level, organic carbon, electric conductivity, humidity, rainfall and other micro nutrients for predicting the right amount of fertilizers and nutrients. We have also checked other regression methods to compare the results based on the previous work done in the same field.</span>
Based on mesh sensor network: design and implementation of security monitoring system with Bluetooth technology
Authors: Hameed Bilal Hashim , Taher Anmar Yahya , Ibrahim Raed Khalid , Ali Adnan Hussein , Hussein Yasser Adnan 
Published: June 2022

One of the most <span>critical aspects to consider in wireless sensor networks is security, particularly in internet of things (IoT) implementations. Sensor network applications had risen in the past 5 years since these networks have been used in various parts of life (smart residential and commercial buildings, medical, and agriculture). In this study, we provide a novel network of sensors based on the Bluetooth network that may be used to protect commercial buildings. The Bluetooth type HC 06 was chosen since it has a low energy consumption and a communication range of 100 meters. Such security network includes motion sensors and control cameras that are controlled by an Arduino Nano microcontroller. The motion sensor's primary characteristics are solely applicable to humans, and the Arduino Nano is an open-source microcontroller. The key benefit of this research is that it demonstrates how to create a low-cost Bluetooth sensor security network with limited storage space for control movies.</span>
The Fourth Transformation and the Trajectory of Neoliberalism in Mexico
Authors: Coughlin Richard W. 
Published: June 2022

The 2018 electoral victories of Andrés Manuel López Obrador (hereafter, AMLO) and his political party, Morena, may represent a significant inflection point in the development of neoliberalism in Mexico. The trajectory of neoliberalism has unfolded in terms of what Nils Gilman refers to as the “twin insurgency”—a plutocratic insurgency that, since the 1970s, has been restructuring capitalism on a transnational basis and a criminal insurgency that has flourished within the denationalized social spaces of neoliberalism. López Obrador’s national project, termed “the Fourth Transformation,” is an effort to anchor processes of capital expansion in Mexico within a restoration of political community centered on AMLO’s policy agenda and political rhetoric. In a broader context, it is also a process of state transformation historically shaped by the twin insurgency and characterized by the emergence of new hybrid modes of organized violence. Las victorias electorales de 2018 de Andrés Manuel López Obrador (en adelante, AMLO) y su partido político, Morena, pueden representar un punto de inflexión significativo en el desarrollo del neoliberalismo en México. La trayectoria del neoliberalismo se ha desarrollado en términos de lo que Nils Gilman llama la “insurgencia gemela”, una insurgencia plutocrática que, desde la década de 1970, ha reestructurado el capitalismo sobre una base transnacional y una insurgencia criminal que ha florecido dentro de los espacios sociales desnacionalizados del neoliberalismo. El proyecto nacional de López Obrador, denominado “la Cuarta Transformación”, es un esfuerzo por anclar los procesos de expansión de capital en México dentro de una restauración de la comunidad política centrada en la agenda política y la retórica política de AMLO. En un contexto más amplio, también es un proceso de transformación estatal históricamente moldeado por la insurgencia gemela y caracterizado por el surgimiento de nuevos modos híbridos de violencia organizada.
Extracorporeal membrane oxygenation as a bridge to durable mechanical circulatory support or heart transplantation
Authors: Hansen Breanna , Singer Englar Tahli , Cole Robert , Catarino Pedro , Chang David , Czer Lawrence , Emerson Dominic , Geft Dael , Kobashigawa Jon , Megna Dominick , Ramzy Danny , Moriguchi Jaime , Esmailian Fardad , Kittleson Michelle 
Published: June 2022

Background: Patients with cardiogenic shock may require extracorporeal membrane oxygenation (ECMO) prior to durable mechanical circulatory support (dMCS) or heart transplantation (HTx). Methods: We investigated the clinical characteristics and outcomes of adult patients with ECMO support as bridge to dMCS or HTx between 1/1/13 and 12/31/20. Results: Of 57 patients who underwent bridging ECMO, 41 (72%) received dMCS (approximately half with biventricular support) and 16 (28%) underwent HTx, 13 (81%) after the 2018 UNOS allocation system change. ECMO → HTx patients had shorter ventilatory time (3.5 vs 7.5 days; p = 0.018), ICU stay (6 vs 18 days; p = 0.001), and less need for inpatient rehabilitation (18.8% vs 57.5%; p = 0.016). The 1-year survival post HTx was 81.3% in the ECMO → HTx group and 86.4% in the ECMO → dMCS group ( p = 0.11). For those patients in the ECMO → dMCS group who did not undergo HTx, 1-year survival was significantly lower, 31.6% ( p = 0.001). Conclusion: Patients on ECMO who undergo HTx, with or without dMCS bridge, have acceptable post-HTx survival. These findings suggest that HTx from ECMO is a viable option for carefully selected patients deemed acceptable to proceed with definitive advanced therapies, especially in the era of the new UNOS allocation system.
The Dynamics of Intimate Relationships and Violent Victimization Among Young Women
Authors: Kusunoki Yasamin , Bevilacqua Kristin , Barber Jennifer S. 
Published: June 2022

Despite the fact that intimate partner violence (IPV) occurs within intimate relationships, we know relatively little about the characteristics of those intimate relationships, and even less about how IPV changes across time within different relationships. We use the Relationship Dynamics and Social Life (RDSL) study, based on a random sample of 1003 18–19-year-old women residing in a Michigan county. Women were interviewed weekly for 2.5 years, resulting in an age range of 18 through 22. We estimate hybrid “within-between” regression models, which allows us to directly compare the same woman’s risk of experiencing IPV across her different relationships, varied in terms of resources, balance of power, conflict, childbearing, relationship type, and duration. Our analyses demonstrate that power imbalance in intimate relationships, non-monogamous and unstable relationships, relationships with men who are not the father of a woman’s existing children, and serious relationships (especially stayover and cohabiting) place young women in their late teens and early twenties at particularly high risk of multiple dimensions of IPV. Our fixed-effects modeling strategy isolated the increase in IPV risk that is due to these characteristics and experiences within intimate relationships from the risk due to young women being at high risk of IPV for other reasons who might tend to choose these types of relationships. The elevated risk of IPV in relationships with these characteristics and experiences supports a causal link between them. Our research supports the potential efficacy of interventions that reduce conflict, equalize power within relationships, and encourage women—especially young mothers—to delay serious relationships.
Associations Between Habitual Dietary Behaviors and Glutamic Acid Levels in Human Milk
Authors: Nakai Shoko , Tateoka Yumiko , Miyaguchi Yumiko , Takahashi Mari , Ogita Hisakazu 
Published: June 2022

Background: Glutamic acid, an amino acid that exhibits umami taste, is utilized in Japanese food and is abundant in human milk. We examined the influence of maternal habitual eating behavior on glutamic acid concentration in human milk. Research Aim: To determine the association between maternal dietary behaviors at the end of pregnancy and the 1st month postpartum and glutamic acid concentration in colostrum and mature milk. Method: This was a prospective, correlational, one-group longitudinal study. Women aged 20–30 years during the third trimester of pregnancy ( N = 30) consented to participate and completed the data collection. Dietary history questionnaires were used to measure food intake. Glutamic acid levels in whey from colostrum and mature milk and in plasma during late pregnancy and the first month postpartum were measured. Data were considered significant at p < .05. Basic statistics, correlation coefficients analysis, unpaired t test, and one-way analysis of variance were performed. Results: Glutamic acid concentrations in human milk and plasma were found to be significantly associated with the consumption of several different foods. There was no association between glutamic acid concentrations in human milk and plasma or between glutamic acid concentrations in colostrum and mature milk. The glutamic acid content of mature milk differed by physical activity level (mild and moderate) during the first month postpartum ( t [46] = 2.87, p < .01). Conclusion: There was no clear association between habitual dietary behavior and glutamic acid concentration in human milk. However, maternal factors other than diet may be important and require additional research.
Dental amalgam fillings and mercury vapor safety limits in American adults
Authors: Geier DA , Geier MR 
Published: June 2022

Objective For more than 150 years, dental amalgam fillings (50% metallic mercury (Hg0) by weight) have been used in American dentistry. The US Food and Drug Administration (FDA) acknowledged that amalgams release Hg vapor that may be harmful to certain patients. This study examined the impact of Hg vapor exposure from amalgams in American adults. Methods Amalgam-Hg vapor exposure among 158,274,824 weighted-adult Americans was examined in the 2015–2018 National Health and Nutrition Examination Survey (NHANES). Beta (β)-coefficients were calculated for the correlation between the number of amalgam surfaces and daily micrograms (μg) of urinary Hg and daily μg of Hg vapor exposure from amalgams per kilogram (Kg) bodyweight. Results About 91 million (57.8%) adults had ≥1 amalgam surface and about 67 million (42.2%) had no amalgams. A β-coefficient = 0.041 significantly correlated the number of amalgam surfaces to daily amounts of urinary Hg. Differences were observed for gender and racial groups. Daily Hg vapor doses from amalgams were in excess of the most restrictive California’s Environmental Protection Agency (EPA) safety limit for about 86 million (54.3%) adults and in excess of the least restrictive US EPA safety limit among about 16 million (10.4%) adults. The mean allowable number of amalgam surfaces ranged from 1.28 for adult females under the California’s EPA safety limit to 16.23 for adult males under the US EPA safety limit. Conclusion Given that American adults are receiving significant, ongoing exposure to Hg vapor from amalgams, careful evaluation of the need to reduce use of amalgams should be considered.
Hygienic Food Handling Practices and Associated Factors Among Food Handlers in Ethiopia: A Systematic Review and Meta-Analysis
Authors: Negassa Belay , Ashuro Zemachu , Soboksa Negasa Eshete 
Published: June 2022

Background: The food handling practices of food handlers can have a significant impact on the hygienic status of the food. The aim of this study was to determine the prevalence and factors associated with hygienic food handling practices among food handlers in Ethiopia. Methods: PubMed, Science Direct, Google Scholar, and the Cochrane Library databases were used to find articles. Only cross-sectional studies that met the criteria for inclusion were considered. STATA version 16 statistical software was used to perform the meta-analysis. The study’s heterogeneity was determined using Cochrane Q test statistics and the I2 test. A random effect model was used to calculate the pooled prevalence of hygienic food handling practices. Results: To estimate the pooled prevalence of hygienic food handling practices in Ethiopia, 9 out of 33 reviewed studies were included. The prevalence of hygienic food handling practices was found to be 48.36% (95% CI: 39.74-56.99) in this study. Factors associated with hygienic food handling practices included; lack of food safety training (OR = 5.38; 95% CI: 1.71, 16.89), negative attitude (OR = 3.28; 95% CI: 1.50, 7.13), lack of access to handwashing facilities (OR = 4.84; 95% CI: 1.72, 13.65), lack of regular medical checkup (OR = 5.37; 95% CI: 3.13, 9.23), and lack of secondary education (OR = 2.51; 95% CI: 1.46, 4.32) among food handlers. Conclusion: In this study, the prevalence of hygienic food handling practices among Ethiopian food handlers was significantly low. Unhygienic food handling practices were attributed to a lack of food safety training, regular medical checkups, handwashing facilities, an unfavorable attitude toward food hygiene practices, and a lack of formal education. As a result, food handlers should receive ongoing food safety and hygiene training.
Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis
Authors: Brune Synne , Høgestøl Einar A , de Rodez Benavent Sigrid A , Berg-Hansen Pål , Beyer Mona K , Leikfoss Ingvild Sørum , Bos Steffan D , Sowa Piotr , Brunborg Cathrine , Andorra Magi , Pulido Valdeolivas Irene , Asseyer Susanna , Brandt Alexander , Chien Claudia , Scheel Michael , Blennow Kaj , Zetterberg Henrik , Kerlero de Rosbo Nicole , Paul Friedemann , Uccelli Antonio , Villoslada Pablo , Berge Tone , Harbo Hanne F 
Published: June 2022

Background: Serum neurofilament light (sNfL) chain is a promising biomarker reflecting neuro-axonal injury in multiple sclerosis (MS). However, the ability of sNfL to predict outcomes in real-world MS cohorts requires further validation. Objective: The aim of the study is to investigate the associations of sNfL concentration, magnetic resonance imaging (MRI) and retinal optical coherence tomography (OCT) markers with disease worsening in a longitudinal European multicentre MS cohort. Methods: MS patients ( n = 309) were prospectively enrolled at four centres and re-examined after 2 years ( n = 226). NfL concentration was measured by single molecule array assay in serum. The patients’ phenotypes were thoroughly characterized with clinical examination, retinal OCT and MRI brain scans. The primary outcome was disease worsening at median 2-year follow-up. Results: Patients with high sNfL concentrations (⩾8 pg/mL) at baseline had increased risk of disease worsening at median 2-year follow-up (odds ratio (95% confidence interval) = 2.8 (1.5–5.3), p = 0.001). We found no significant associations of MRI or OCT measures at baseline with risk of disease worsening. Conclusion: Serum NfL concentration was the only factor associated with disease worsening, indicating that sNfL is a useful biomarker in MS that might be relevant in a clinical setting.
Summary metrics of memory subnetwork functional connectivity alterations in multiple sclerosis
Authors: Leavitt Victoria M , Dworkin Jordan D , Buyukturkoglu Korhan , Riley Claire S , Ritchey Maureen 
Published: June 2022

Background: Memory dysfunction is common in multiple sclerosis (MS); mechanistic understanding of its causes is lacking. Large-scale network resting-state functional connectivity (RSFC) is sensitive to memory dysfunction. Objective: We derived and tested summary metrics of memory network RSFC. Methods: Cognitive data and 3T magnetic resonance imaging (MRI) scans were collected from 235 MS patients and 35 healthy controls (HCs). Index scores were calculated as RSFC within (anteriority index, AntI) and between (integration index, IntI) dorsomedial anterior temporal and medial temporal memory subnetworks. Group differences in index expression were evaluated. Associations between index scores and memory/non-memory cognition were evaluated; relationships between T2 lesion volume (T2LV) and index scores were assessed. Results: Index scores were related to memory and T2LV in MS patients, who showed marginally elevated AntI relative to HC ( p = 0.06); no group differences were found for IntI. Better memory was associated with higher AntI (β = 0.15, p = 0.018) and IntI (β = 0.16, p = 0.014). No associations were found for non-memory cognition. Higher T2LV was associated with higher AntI and IntI; exploratory mediation analysis revealed significant inconsistent mediation, that is, higher index scores partially suppressed the negative association between T2LV and memory. Conclusion: Summary, within-subject metrics permit replication and circumvent challenges of traditional (incommensurate) RSFC variables to advance development of mechanistic models of memory dysfunction in MS.
A Community-Engaged Process for Adapting a Proven Community Health Worker Model to Integrate Precision Cancer Care Delivery for Low-income Latinx Adults With Cancer
Authors: Wood Emily H. , Leach Maria , Villicana Gerardo , Goldman Rosas Lisa , Duron Ysabel , O’Brien Dale G. , Koontz Zachary , Patel Manali I. 
Published: June 2022

Introduction Disparities in precision cancer care delivery among low-income Latinx adults are well described. In prior work, we developed a community health worker-led goals of care and cancer symptom assessment intervention. The objective of this study was to adapt this intervention for a community setting, incorporating precision cancer care delivery. Methods We used a two-phased systematic approach to adapt an evidence-based intervention for our community. Specifically, we used the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to identify barriers and facilitators to precision cancer care delivery via 1-hr interviews with Latinx adults with cancer, Latinx caregivers, community leaders, primary care and oncology clinicians, and community health workers. Interviews were recorded, transcribed, and analyzed using the constant comparative method and grounded theory analysis. Phase 2 involved interviews with key community advisors using the Expert Panels Method to decide on final adaptations. Results Using this community-engaged approach, we identified specific intervention adaptations to ensure precision cancer care delivery in a community setting, which included: (a) expansion of the intervention inclusion criteria and mode of delivery; (b) integration of low-literacy precision cancer care intervention activities in Spanish in collaboration with community-based organizations; (c) ensuring goals reflective of patient and community priorities. Conclusions This systematic and community-engaged approach to adapt an intervention for use in delivering precision cancer care strengthened an evidence-based approach to promote the needs and preferences of patients and key community stakeholders.