bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agent-based modelling for the study of shipwreck site formation processes: A theoretical framework and conceptual model.
Authors: Vega-Sánchez Rodrigo , Herrera Jorge M. 
Published: December 2022

Background Shipwreck site formation processes (SFP), their dynamics and transformation have long interested maritime archaeology from both a historical perspective and heritage management since shipwrecks constitute endangered cultural sites. Major contributions to shipwreck SFP have been made since the 1970s which conceive SFP from a systemic theoretical perspective, notably those of Keith Muckelroy and Martin Gibbs. However, to our view, such a perspective falls short in its capacity to explain and predict the distribution of elements in a shipwreck. In this article, we propose that shipwreck SFP can be understood from the theoretical framework of complex adaptive systems (CAS), where a SFP constitutes a CAS in which nonlinear interactions of natural and cultural factors give rise to the observed seabed distribution of a shipwreck as an emergent phenomenon. Methods From this theoretical framework, we propose agent-based modelling (ABM) as a suitable methodological approach for studying SFP. We show its implementation using the USS Somers, a 19th-century brig of war that sank in 1846 off the port of Veracruz, Mexico, during the Mexican-American War as a case study. The conceptual model was developed from the integration of historical data about the ship’s nautical characteristics and operation, information on the wrecking event from eyewitnesses, as well as modern environmental data. Results We present a conceptual model defining various elements that would constitute the Somers’ ABM. It gives specifics about the characteristics and variables regarding agents, global variables, processes, indicators, degradation and deposition sequences, and user interface. Conclusion The conceptual model served to develop ABM in a simulation platform where historical hypotheses can be tested and various possible scenarios of the SFP can be explored. By contrasting the simulation results with the archaeological record of the shipwreck, ABM would allow maritime archaeologists to postulate more supported and refined interpretations of a shipwreck’s SFP.
SnakeMAGs: a simple, efficient, flexible and scalable workflow to reconstruct prokaryotic genomes from metagenomes
Authors: Tadrent Nachida , Dedeine Franck , Hervé Vincent 
Published: December 2022

Background: Over the last decade, we have observed in microbial ecology a transition from gene-centric to genome-centric analyses. Indeed, the advent of metagenomics combined with binning methods, single-cell genome sequencing as well as high-throughput cultivation methods have contributed to the continuing and exponential increase of available prokaryotic genomes, which in turn has favored the exploration of microbial metabolisms. In the case of metagenomics, data processing, from raw reads to genome reconstruction, involves various steps and software which can represent a major technical obstacle. Methods: To overcome this challenge, we developed SnakeMAGs, a simple workflow that can process Illumina data, from raw reads to metagenome-assembled genomes (MAGs) classification and relative abundance estimate. It integrates state-of-the-art bioinformatic tools to sequentially perform: quality control of the reads (illumina-utils, Trimmomatic), host sequence removal (optional step, using Bowtie2), assembly (MEGAHIT), binning (MetaBAT2), quality filtering of the bins (CheckM), classification of the MAGs (GTDB-Tk) and estimate of their relative abundance (CoverM). Developed with the popular Snakemake workflow management system, it can be deployed on various architectures, from single to multicore and from workstation to computer clusters and grids. It is also flexible since users can easily change parameters and/or add new rules. Results: Using termite gut metagenomic datasets, we showed that SnakeMAGs is slower but allowed the recovery of more MAGs encompassing more diverse phyla compared to another similar workflow named ATLAS. Conclusions: Overall, it should make the reconstruction of MAGs more accessible to microbiologists. SnakeMAGs as well as test files and an extended tutorial are available at https://github.com/Nachida08/SnakeMAGs.
COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation
Authors: Bennouna Amine , Joseph Joshua , Nze-Ndong David , Perakis Georgia , Singhvi Divya , Lami Omar Skali , Spantidakis Yannis , Thayaparan Leann , Tsiourvas Asterios 
Published: December 2022

Problem definition: Mitigating the COVID-19 pandemic poses a series of unprecedented challenges, including predicting new cases and deaths, understanding true prevalence beyond what tests are able to detect, and allocating different vaccines across various regions. In this paper, we describe our efforts to tackle these issues and explore the impact on combating the pandemic in terms of case and death prediction, true prevalence, and fair vaccine distribution. Methodology/results: We present the methods we developed for predicting cases and deaths using a novel machine-learning-based aggregation method to create a single prediction that we call MIT-Cassandra. We further incorporate COVID-19 case prediction to determine true prevalence and incorporate this prevalence into an optimization model for efficiently and fairly managing the operations of vaccine allocation. We study the trade-offs of vaccine allocation between different regions and age groups, as well as first- and second-dose distribution of different vaccines. This also allows us to provide insights into how prevalence and exposure of the disease in different parts of the population can affect the distribution of different vaccine doses in a fair way. Managerial implications: MIT-Cassandra is currently being used by the Centers for Disease Control and Prevention and is consistently among the best-performing methods in terms of accuracy, often ranking at the top. In addition, our work has been helping decision makers by predicting how cases and true prevalence of COVID-19 will progress over the next few months in different regions and utilizing the knowledge for vaccine distribution under various operational constraints. Finally, and very importantly, our work has specifically been used as part of a collaboration with the Massachusetts Institute of Technology's (MIT’s) Quest for Intelligence and as part of MIT’s process to reopen the institute. Funding: Financial support from MIT Quest for Intelligence is gratefully acknowledged. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1160 .
Shared Identity Schemas Shape Incumbent Responses to New Entrants
Authors: Koçak Özgecan , Topaler Başak 
Published: December 2022

An outstanding question in research on competitive strategy is what determines the strength and type of strategic response that incumbents deploy against new entrants. We argue that strategists’ assessment of threat from new entrants and their choice of strategic reactions depend on the shared identity schema in their field. Position of new entrants across identity categories indicate whether they pose a competitive threat within the same identity-based niche or outside it and whether they threaten to erode the incumbent’s category’s social value relative to other categories. Potential reactions to these threats can also be classified according to whether they protect or enhance the value that incumbents create and capture through their membership in their identity category. Matching identity-relevant strategic actions to the type of threat that new entries pose, we argue that incumbents (1) employ identity-deepening tactics in response to competition in their identity-based niche; (2) use identity-extending tactics in response to competition outside their niche; (3) respond to categorical identity threats by affirming their identities; and (4) are less likely to respond to either competitive or identity threats that originate from new entrants that do not clearly fit in the shared identity schema. We find support for our predictions in analyses using data on the population of Turkish universities over a 30-year period. We discuss theoretical implications for ecological and socio-cognitive studies of markets and practical implications for predicting patterns of strategic interaction and disruptive potential of new entrants. Supplemental Material: The e-companion is available at https://doi.org/10.1287/stsc.2022.0179 .
A fenomenologia dos sentimentos de Max Scheler na indicação da constituição do “humano total” (Allmensch)
Authors: Kahlmeyer-Mertens Roberto Saraiva , Kuhn Willian Carlos 
Published: December 2022

Em foco está a exposição dos sentimentos, operada fenomenologicamente por Max Scheler, sendo tarefa mostrar como essa pode indicar o conceito de “humano total”. Objetivamos evidenciar que o filósofo compreende que o espírito humano se enraíza não só no racional, como na concepção tradicional de animal racionale, mas também em sua realidade emocional. Face a isso, nos ocuparemos de apresentar a maneira com a qual Scheler pensa sentimentos como a simpatia, o amor (e o ódio), a ordem a priori de valores atrelada ao amor, bem como o arrependimento. Após essa etapa preparatória, buscaremos indicar que o filósofo lança mão de uma compreensão de humano mais ampla, formulada face à ideia de um ens amans. Assim, podemos indicar mais claramente o que Max Scheler chamará de Allmensch, cumprindo o objetivo de mostrar como a fenomenologia dos sentimentos de Scheler poderiam indicar visão ampla do humano. A hipótese é a de que o filósofo compreende o humano em vista de um processo de conciliação de forças vitais rumo à consciência e sentimentos elevados numa hierarquia valorativa. Ali, o amor exerceria papel totalizador do humano, permeado pela força motriz cósmica do fundamento do mundo, o que indicaria o ideal de um “humano total”.
Róbson Ramos dos Reis: as possibilidades e os desafios da fenomenologia
Authors: Reis Róbson Ramos dos , Guimarães Deborah Moreira , Provinciatto Luís Gabriel , Fernandes Christiane Costa de Matos , Barroso Gabriel Lago de Sousa , Silva Taciane Alves da 
Published: December 2022

Entrevista com Róbson Ramos dos Reispor Christiane Costa de Matos Fernandes, Deborah Moreira Guimarães, Gabriel Lago de Sousa Barroso, Luís Gabriel Provinciatto e Taciane Alves da Silva Esta entrevista foi elaborada por Christiane Costa de Matos Fernandes, Deborah Moreira Guimarães, Gabriel Lago de Sousa Barroso, Luís Gabriel Provinciatto e Taciane Alves da Silva. As perguntas foram enviadas por e-mail ao professor e pesquisador Róbson Ramos dos Reis, que as respondeu por escrito. Agradecemos ao Prof. Róbson Ramos dos Reis não apenas a disposição em realizar a entrevista como também a gentileza e a solicitude para com o corpo editorial da Revista Ekstasis.
DOSSIÊ 26 -ENSINO DE PORTUGUÊS: DA LÍNGUA MATERNA À LÍNGUA NÃO MATERNA PORTUGUESE TEACHING: FROM MOTHER LANGUAGE TO NON-MOTHER LANGUAGE
Authors: Lebler Cristiane Dall Cortivo , Castanheira Dennis Da Silva , Sebastião Isabel 
Published: December 2022

Apresentação do DOSSIÊ 26 -ENSINO DE PORTUGUÊS: DA LÍNGUA MATERNA À LÍNGUA NÃO MATERNA PORTUGUESE TEACHING: FROM MOTHER LANGUAGE TO NON-MOTHER LANGUAGE
Incidence, time to recovery and predictors among neonates admitted with respiratory distress to the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021
Authors: Enyew Engidaw Fentahun , Bitew Desalegn Anmut , Gelagay Abebaw Addis 
Published: December 2022

Background
One of the major factors contributing to newborn morbidity and mortality across the globe is respiratory distress. In resource-constrained developing nations like Ethiopia, it is a significant issue. Depending on the quality of the care provided, the incidence and time to recovery may differ amongst medical facilities. However, Ethiopia still lacks appropriate data on the incidence and time to recovery from respiratory distress.

Objective
The aim of the study was to assess the incidence, time to recovery, and predictors among neonates admitted with respiratory distress in the neonatal intensive care unit at the University of Gondar Comprehensive Specialized Hospital.

Methods
An institution-based retrospective follow-up study design was conducted among 452 neonates with respiratory distress. Data were collected using a data extraction checklist from the medical registry. The extracted data were entered into EPI INFO version 7.2.1.0 and then exported to STATA version 14 for analysis. The median time to recovery, the Kaplan Meier curve, and the log-rank test was computed. Both bi-variable and multivariable Cox regression models were applied to analyze the data. p-value ≤ 0.05 was considered statistically significant.

Results
Of all respiratory distressed neonate,311 were recovered. The overall incidence rate of neonates admitted with from respiratory distress was 11.5 per 100-neonate day (95% CI: 10.30–12. 87) with 2,703-person day observation and the median time to recovery from respiratory distress was 7 days with (IQR = 3–13 days). Predictors of time to recovery from respiratory distress were very low birth weight (AHR = 0.17, 95% CI: 0.08–0.41), low birth weight (AHR = 0.50, 95% CI: 0.31–0.81), very preterm (AHR = 0.42,95% CI:0.20–0.89), sepsis (AHR = 0.50 95% CI: 0.38–0.65), hypothermia (AHR = 0.61, 95% CI: 0.39–0.81), and Apgar scores less than seven at first (AHR = 0.35, 95% CI: 0.15–0.79) and fifth minute (AHR = 0.45, 95% CI: 0.20–0.97).

Conclusion
The incidence and time to recovery in this study were discreetly acceptable as compared to previous study. The aforementioned predictors could be used to identify neonates with respiratory distress who are at risk of developing a long-term illness and guide prompt referral to hospitals. This will also provide clinicians with prognostic information, as longer recovery times have economic and social implications in resource limited countries like Ethiopia.
Amputation and mortality rates of patients undergoing upper or lower limb surgical embolectomy and their predictors
Authors: Bérczi Ákos , Nguyen Dat Tin , Sarkadi Hunor , Nyárádi Balázs Bence , Beneda Piroska , Szőnyi Ádám , Philippovich Márton , Szeberin Zoltán , Dósa Edit 
Published: December 2022

Purpose
To provide information on the outcomes of upper and lower limb surgical embolectomies and the factors influencing amputation and mortality.

Methods
A retrospective, single-center analysis of 347 patients (female, N = 207; male, N = 140; median age, 76 years [interquartile range {IQR}, 63.2–82.6 years]) with acute upper or lower limb ischemia due to thromboembolism who underwent surgery between 2005 and 2019 was carried out. Patient demographics, comorbidities, medical history, the severity of acute limb ischemia (ALI), preoperative medication regimen, embolus/thrombus localization, procedural data, in-hospital complications/adverse events and their related interventions, and 30-day mortality were reviewed in electronic medical records. Statistical analysis was performed using the Mann–Whitney U test and Fisher’s exact test; in addition, univariate and multivariate logistic regression was conducted.

Results
The embolus/thrombus was localized to the upper limb in 134 patients (38.6%) and the lower limb in 213 patients (61.4%). The median length of hospital stay was 3.8 days (IQR, 2.1–6.6 days). The in-hospital major amputation rates for the upper limb, lower limb, and total patient population were 2.2%, 14.1%, and 9.5%, respectively, and the in-hospital plus 30-day mortality rates were 4.5%, 9.4%, and 7.5%, respectively. In patients with lower limb embolectomy, the predictor of in-hospital major amputation was the time between the onset of symptoms and embolectomy (OR, 1.78), while the predictor of in-hospital plus 30-day mortality was previous stroke (OR, 7.16). In the overall patient cohort, there were two predictors of in-hospital major amputation: 1) the time between the onset of symptoms and embolectomy (OR, 1.92) and 2) compartment syndrome (OR, 3.51).

Conclusion
Amputation and mortality rates after surgical embolectomies in patients with ALI are high. Patients with prolonged admission time, compartment syndrome, and history of stroke are at increased risk of limb loss or death. To avoid amputation and death, patients with ALI should undergo surgical intervention as soon as possible and receive close monitoring in the peri- and postprocedural periods.
Evaluation of the Feasibility of Temporary Waste Storage at the Integrated Laboratory Center, Syarif Hidayatullah State Islamic University Jakarta/ Evaluasi Kelayakan Tempat Penyimpanan Sementara (TPS) Limbah di Pusat Laboratorium Terpadu (PLT)
Authors: Syeiba Badra Uyunillah  , Dinda Rama Haribowo  , Encep Dimyati  
Published: December 2022

Temporary Waste Storage as place for storing waste in the Integrated Laboratory Center was established in 2019. This study aims to study and postpone the Temporary Waste Storage for waste from buildings and their management based on the Regulation of the Minister of Environment and Forestry Number 15 of 2020 and Number 19 of 2021 to make it a more appropriate and sufficient Temporary Waste Storage. The research method is carried out through a qualitative approach. Data collection techniques were carried out using field observation methods, data analysis using SWOT analysis through FGD. The results showed the amount of liquid waste stored was 753,799 liters and solid waste stored was 233.6 kg. The average temperature and humidity in the liquid waste storage room are 29.04°C and 68.47 RH% and in the solid waste storage room 29.17°C and 68.13 RH%. The temporary waste storage management system is in accordance with regulations and standards, the strategy resulting from the SWOT analysis is carried out by improving and adding facilities, as well as making a waste storage schedule to improve the quality of Temporary Waste Storage.
Abstrak
Tempat Penyimpanan Sementara (TPS) sebagai tempat menyimpan limbah di Pusat Laboratorium Terpadu (PLT) didirikan pada tahun 2019. Penelitian ini bertujuan untuk mengkaji dan mengevaluasi Tempat Penyimpanan Sementara (TPS) Limbah dari segi bangunan dan pengelolaannya berdasarkan Peraturan Menteri Lingkungan Hidup dan Kehutanan Nomor 12 tahun 2020 dan Nomor 19 tahun 2021 untuk terwujudnya TPS yang lebih layak dan mencukupi. Metode penelitian dilakukan melalui pendekatan kualitatif. Teknik pengumpulan data dilakukan menggunakan metode observasi lapangan, analisis data menggunakan analisis SWOT melalui FGD. Hasil penelitian menunjukkan jumlah limbah cair yang tersimpan 753,799 liter dan limbah padat yang tersimpan 233,6 kg. Besar rata-rata suhu dan kelembapan di ruang penyimpanan limbah cair 29,04°C dan 68,47 RH%, di ruang penyimpanan limbah padat 29,17°C dan 68,13 RH%. Sistem pengelolaan TPS limbah sudah sesuai regulasi dan standar, strategi hasil analisis SWOT dilakukan dengan memperbaiki dan menambahkan fasilitas, serta membuat jadwal pengangkutan dan pendataan limbah oleh petugas penyimpanan limbah agar meningkatkan kualitas TPS.
Entrepreneurs’ Personality Traits and Social Enterprise: A Legitimation Perspective
Authors: Xiao Yingzhao , Liu Zhen , Ahlstrom David , Bai Yanzhuang 
Published: December 2022

Abstract
Prosocial personality traits are thought to be essential characteristics of social entrepreneurs. However, extant research has typically focused on how personality traits affect individuals to simply engage in social entrepreneurship but not on the actual prosocial behavior they employ or the eventual outcomes. We posit that studying the link between personality traits and organizational legitimacy, a salient outcome for social enterprise development, is a fruitful avenue for research. Building on the legitimation perspective, we examine the underlying mechanisms and contextual conditions in the relationship between personality traits (agreeableness specifically) and social enterprise legitimacy. Empirical analysis of 230 social enterprises in China demonstrates that a social enterprise’s legitimation strategy via network centrality and the contingent role of the focal venture’s development stage importantly conditions the effectiveness of the social entrepreneurs’ personality traits and their impact on social enterprise legitimacy. Implications for theory and practice are discussed.
On the Potential of Sovereign State-Contingent Debt in Contributing to Better Public Debt Management and Enhancing Sustainability Outcomes
Authors: Volz Ulrich 
Published: December 2022

AbstractSovereign state-contingent instruments (SCDIs) have been suggested as complements or alternatives to traditional sovereign debt instruments for a long time, but with little uptake. Markets for SCDIs have suffered from low liquidity and issues around measurement. This article argues that the escalating climate and ecological crises provide a strong rationale to reconsider the use of sovereign SCDIs as the physical and transition impacts of climate change and environmental degradation are increasingly altering the risk profile of sovereigns. The use of risk-linked sovereign instruments such as cat bonds or resilience bonds and embedding disaster risk clauses in sovereign debt contracts would be an important way for governments, especially in highly climate-vulnerable countries, to mitigate climate risks and scale up investment in resilience. Moreover, instruments such as sustainability-linked bonds that incentivise sustainability-oriented policies and investments could help to bring about better sustainability outcomes and contribute to greater debt sustainability. SCDIs can also play an important role in facilitating debt restructurings. The international community, supported by key institutions like the IMF and the major multilateral development banks, should make a concerted effort to promote the widespread adoption of sovereign SCDIs to support better public debt management, the climate-proofing of public finances, and the achievement of more ambitious sustainability outcomes.
Iot-based power detection equipment management and control system
Authors: Chen Jintao , Jiang Jianfeng , Zhu Binruo 
Published: December 2022

Abstract
The development and application scope of the Internet of Things is also becoming more and more extensive. Especially in the application of power testing improved systems, great progress has been made. This article aims to study how to analyze the system detection equipment based on the Internet of Things. This article describes the basic theoretical knowledge of the Internet of Things and power detection improved systems. A clustering analysis algorithm and a support vector machine algorithm based on the Internet of Things are proposed. In the experiment of this article, the scoring items of the expert’s traditional detection system include complex technology, inconvenient use, and incomplete intelligence. Among them, the highest score for complex technology is 8.6 points, the lowest score is 7 points; the highest score for inconvenience is 8.6 points, and the lowest is 8.3 points. It can be seen that related experts believe that the traditional power detection improved system is not only very complicated in technology, very inconvenient to use but also incompletely intelligent. Therefore, it is very necessary to study the system detection equipment based on the Internet of Things.
Some Common Fixed Point Results for 𝒵
E
−Contractions in Modular b−Metric Spaces
Authors: Büyükkaya Abdurrahman , Öztürk Mahpeyker 
Published: December 2022

Abstract
The primary purpose of this study is to demonstrate some common fixed point theorems for diverse E−contractions involving generalized Proinov-simulation functions in the setting of modular b−metric spaces. Some of the outcomes have been applied to integral equations, and a new result has been put forward. Furthermore, a novel common fixed point theorem is verified by combining the obtained results with the integral-type contraction condition.