bluuebunny/crossref_metadata_2025_split huggingface dataset:
Afectación de los derechos colectivos y de la seguridad alimentaria en el fallo de la Corte Internacional de Justicia caso Nicaragua c. Colombia
Authors: Bocanegra Maria Andrea , Insignares Cera Silvana 
Published: February 2021

El presente artículo aborda el estado de los derechos colectivos y de la Seguridad Alimentaria del Pueblo raizal miskitos, afectados por el fallo de la Corte Internacional de Justicia caso Nicaragua vs. Colombia, que de manera directa restringe sus derechos ancestrales de pesca lo que pone en riesgo para ellos el acceso, la disponibilidad y permanencia del recurso pesquero. Para ello se desarrollará i. la Seguridad Alimentaria como derecho y obligación en el derecho internacional. ii. el Caso Nicaragua vs. Colombia iii. la afectación de los derechos colectivos y la seguridad alimentaria de los Raizales en San Andrés. iv. consecuencias desde el escenario internacional y v. conclusión sobre si la Corte Internacional de Justicia debe tener en cuenta los derechos sociales, económicos y culturales, así como los derechos colectivos para tomar decisiones de fondo en disputas territoriales donde resulten vulnerados derechos consuetudinarios de grupos poblacionales de especial protección
Robust Capacity Planning for Project Management
Authors: Conejo Antonio J. , Hall Nicholas G. , Long Daniel Zhuoyu , Zhang Runhao 
Published: February 2021

We consider a significant problem that arises in the planning of many projects. Project companies often use outsourced providers that require capacity reservations that must be contracted before task durations are realized. We model these decisions for a company that, given partially characterized distributional information, assumes the worst-case distribution for task durations. Once task durations are realized, the project company makes decisions about fast tracking and outsourced crashing, to minimize the total capacity reservation, fast tracking, crashing, and makespan penalty costs. We model the company’s objective using the target-based measure of minimizing an underperformance riskiness index. We allow for correlation in task performance, and for piecewise linear costs of crashing and makespan penalties. An optimal solution of the discrete, nonlinear model is possible for small to medium size projects. We compare the performance of our model against the best available benchmarks from the robust optimization literature, and show that it provides lower risk and greater robustness to distributional information. Our work thus enables more effective risk minimization in projects, and provides insights about how to make more robust capacity reservation decisions. Summary of Contribution: This work studies a financially significant planning problem that arises in project management. Companies that face uncertainties in project execution may need to reserve capacity with outsourced providers. Given that decision, they further need to plan their operational decisions to protect against a bad outcome. We model and solve this problem via adjustable distributionally robust optimization. While this problem involves two-stage decision making, which is computationally challenging in general, we develop a computationally efficient algorithm to find the exact optimal solution for instances of practical size.
Follow My Lead: Assertive Cheap Talk and the Gender Gap
Authors: Manian Shanthi , Sheth Ketki 
Published: February 2021

A person’s success often depends on whether others believe what they say. Growing evidence suggests that people are less likely to believe statements made by women rather than men. We consider whether assertive cheap talk, an important and widely used tool for increasing credibility, is a mechanism for this gender gap. If women face negative returns to assertive cheap talk, then they have less access to an effective tool for increasing their credibility. We provide evidence using a laboratory experiment and an online replication, both with real stakes, in an advice-following setting. We study whether assertive cheap talk affects advice following, whether subjects discriminate based on advisor gender, and whether there are differential returns to assertive cheap talk by gender. Subjects were randomly assigned to an unseen male or female team leader who were otherwise identical and to different types of prescripted, increasingly assertive written communication from the leader. Assertive language significantly increased advice following, but we find no evidence for gender discrimination. We also find that assertive language had positive returns for both male and female leaders, despite subjects perceiving this language as more masculine. However, female subjects were still less likely to choose the self-promotional language. Thus, even in the absence of discrimination, this choice would reduce adherence to advice provided by women, generating a gender gap. Greater use of assertive language could be an effective strategy for women to increase their influence and credibility in the labor market. This paper was accepted by Yan Chen, decision analysis.
Social Learning and Solar Photovoltaic Adoption
Authors: Gillingham Kenneth T. , Bollinger Bryan 
Published: February 2021

Growing literature points to the effectiveness of leveraging social interactions and nudges to spur adoption of prosocial behaviors. This study investigates a large-scale behavioral intervention designed to actively leverage social learning and peer interactions to encourage adoption of residential solar photovoltaic systems. Municipalities choose a solar installer offering group pricing and undertake an informational campaign driven by volunteer ambassadors. We find a causal treatment effect of 37 installations per municipality from the campaigns and no evidence of harvesting or persistence. The intervention also lowers installation prices. Randomized controlled trials based on the intervention show that selection into the program is important, whereas group pricing is not. Our results suggest that the program provided economies of scale and lowered consumer acquisition costs, leading to low-cost emission reductions. This paper was accepted by Matthew Shum, marketing.
A Framework for Analyzing Influencer Marketing in Social Networks: Selection and Scheduling of Influencers
Authors: Mallipeddi Rakesh R. , Kumar Subodha , Sriskandarajah Chelliah , Zhu Yunxia 
Published: February 2021

Explosive growth in the number of users on various social media platforms has transformed the way firms strategize their marketing activities. To take advantage of the vast size of social networks, firms have now turned their attention to influencer marketing wherein they employ independent influencers to promote their products on social media platforms. Despite the recent growth in influencer marketing, the problem of network seeding (i.e., identification of influencers to optimally post a firm’s message or advertisement) neither has been rigorously studied in the academic literature nor has been carefully addressed in practice. We develop a data-driven optimization framework to help a firm successfully conduct (i) short-horizon and (ii) long-horizon influencer marketing campaigns, for which two models are developed, respectively, to maximize the firm’s benefit. The models are based on the interactions with marketers, observation of firms’ message placements on social media, and model parameters estimated via empirical analysis performed on data from Twitter. Our empirical analysis discovers the effects of collective influence of multiple influencers and finds two important parameters to be included in the models, namely, multiple exposure effect and forgetting effect. For the short-horizon campaign, we develop an optimization model to select influencers and present structural properties for the model. Using these properties, we develop a mathematical programming based polynomial time procedure to provide near-optimal solutions. For the long-horizon problem, we develop an efficient solution procedure to simultaneously select influencers and schedule their message postings over a planning horizon. We demonstrate the superiority of our solution strategies for both short- and long-horizon problems against multiple benchmark methods used in practice. Finally, we present several managerially relevant insights for firms in the influencer marketing context. This paper was accepted by J. George Shanthikumar, big data analytics.
Balance del año y reflexiones finales desde la sociedad chilena
Authors: Skewes Juan Carlos , Morales Roberto 
Published: February 2021

El estallido social invita a revisitar la relación entre el pueblo mapuche y el Estado desde la perspectiva chilena. Los antecedentes de esta relación dan cuenta del carácter estructural que el racismo y la discriminación han tenido en la construcción de dicha relación. A pesar de que el estallido expande la legitimidad de los reclamos mapuche y los articula con las demandas transversales del pueblo chileno, la respuesta del Estado y de las elites no se sustrae de lo que ha sido su práctica habitual: construir una imagen del otro funcional a los intereses mercantiles que sirven de soporte a sus propuestas modernizadoras. La incapacidad de reflexionar teóricamente acerca del problema junto con la miopía de la autoridad al analizar sus propios datos y su fijación con la propiedad privada individual, le lleva a un doble fracaso: el del Plan Araucanía y el de la Consulta Indígena. Frente a las demandas mapuche, al gobierno no cabe sino apelar a un estado de derecho que sirve a los propósitos empresariales y al ejercicio de la represión como medio de control. El escenario se torna, a pesar del avance del movimiento popular, inestable dando lugar a una tensión creciente que no pareciera modificar en lo sustantivo lo que ha sido el patrón histórico. Por otra parte, la convergencia del pueblo mapuche y chileno en su movilización contra el neoliberalismo abre las puertas a un diálogo intercultural que pudiera transformar la relación entre el Estado y el pueblo mapuche.
Surface-enhanced shifted excitation Raman difference spectroscopy for trace detection of fentanyl in beverages
Authors: Ye Jianfeng , Wang Sheng , Zhang Yujia , Li Boyi , Lu Minjian , Qi Xiaohua , Wei Haoyun , Li Yan , Zou Mingqiang 
Published: February 2021

In recognition of the misuse risks of fentanyl, there is an urgent need
to develop a useful and rapid analytical method to detect and monitor
the opioid drug. The surface-enhanced shifted excitation Raman
difference spectroscopy (SE-SERDS) method has been demonstrated to
suppress background interference and enhance Raman signals. In this
study, the SE-SERDS method was used for trace detection of fentanyl in
beverages. To prepare the simulated illegal drug–beverages, fentanyls
were dissolved into distilled water or Mizone as a series of test
samples. Based on our previous work, the surface-enhanced Raman
spectroscopy detection was performed on the beverages containing
fentanyl by the prepared AgNPs and the SE-SERDS spectra of test
samples were collected by the dual-wavelength rapid excitation Raman
difference spectroscopy system. In addition, the quantitative
relationship between fentanyl concentrations and the Raman peaks was
constructed by the Langmuir equation. The experimental results show
that the limits of quantitation for fentanyl in distilled water and
Mizone were 10 ng/mL and 200 ng/mL, respectively; the correlation
coefficients for the nonlinear regression were as high as 0.9802 and
0.9794, respectively; and the relative standard deviation was less
than 15%. Hence, the SE-SERDS method will be a promising method for
the trace analyses of food safety and forensics.
QoS-aware data center network reconfiguration method based on deep reinforcement learning
Authors: Guo Xiaotao , Yan Fulong , Xue Xuwei , Pan Bitao , Exarchakos George , Calabretta Nicola 
Published: February 2021

Maintaining high-performance operation under dynamic and nonuniform network traffic has been a technical challenge in current data center networks (DCNs). With the aim to provide better quality of service (QoS) for diverse applications, this work presents a dynamic and adaptive DCN reconfiguration framework based on deep reinforcement learning (DCR2L). The proposed framework is integrated into the SDN control plane of the DCN, implementing real-time and automatic DCN reconfiguration. Performance of the DCR2L framework is experimentally demonstrated in our DCN lab, including 4 racks and 16 servers. Experimental results show a network latency improvement of 6.9% based on the DCR2L at an average network bandwidth of 2.3 Gb/s. Based on measured traffic and physical parameters in the experiment, performance of the DCR2L framework is numerically assessed with the realistic traffic of diverse QoS requirements for both electrical and optical DCNs and for different data center scales. Leaf–spine electrical and OPSquare optical networks are set up in an OMNeT++ simulator. For a data plane network consisting of 16 racks and 320 servers, results indicate that the DCR2L framework improves the network latency of up to 16.4% under leaf–spine and up to 24.6% under OPSquare for the overall traffic with respect to the classical heuristic method. For a DCN scale of 10,240 servers, the DCR2L framework provides up to 12.5% lower latency for the leaf–spine electrical network and up to 17.8% latency improvement for the OPSquare optical network.
Evidence-based interventions implemented in low-and middle-income countries for sickle cell disease management: A systematic review of randomized controlled trials
Authors: Gyamfi Joyce , Ojo Temitope , Epou Sabrina , Diawara Amy , Dike Lotanna , Adenikinju Deborah , Enechukwu Scholastica , Vieira Dorice , Nnodu Obiageli , Ogedegbe Gbenga , Peprah Emmanuel 
Published: February 2021

BackgroundDespite ~90% of sickle cell disease (SCD) occurring in low-and middle-income countries (LMICs), the vast majority of people are not receiving evidence-based interventions (EBIs) to reduce SCD-related adverse outcomes and mortality, and data on implementation research outcomes (IROs) and SCD is limited. This study aims to synthesize available data on EBIs for SCD and assess IROs.MethodsWe conducted a systematic review of RCTs reporting on EBIs for SCD management implemented in LMICs. We identified articles from PubMed/Medline, Global Health, PubMed Central, Embase, Web of Science medical subject heading (MeSH and Emtree) and keywords, published from inception through February 23, 2020, and conducted an updated search through December 24, 2020. We provide intervention characteristics for each study, EBI impact on SCD, and evidence of reporting on IROs.Main results29 RCTs were analyzed. EBIs identified included disease modifying agents, supportive care agents/analgesics, anti-malarials, systemic treatments, patient/ provider education, and nutritional supplements. Studies using disease modifying agents, nutritional supplements, and anti-malarials reported improvements in pain crisis, hospitalization, children’s growth and reduction in severity and prevalence of malaria. Two studies reported on the sustainability of supplementary arginine, citrulline, and daily chloroquine and hydroxyurea for SCD patients. Only 13 studies (44.8%) provided descriptions that captured at least three of the eight IROs. There was limited reporting of acceptability, feasibility, fidelity, cost and sustainability.ConclusionEBIs are effective for SCD management in LMICs; however, measurement of IROs is scarce. Future research should focus on penetration of EBIs to inform evidence-based practice and sustainability in the context of LMICs.Clinical trial registrationThis review is registered in PROSPERO #CRD42020167289.
Maximal prime gaps bounds
Authors: Feliksiak Jan 
Published: February 2021

This paper presents research results, pertinent to the maximal prime gaps bounds. Four distinct bounds are presented: Upper bound, Infimum, Supremum and finally the Lower bound. Although the Upper and Lower bounds incur a relatively high estimation error cost, the functions representing them are quite simple. This ensures, that the computation of those bounds will be straightforward and efficient.
The Lower bound is essential, to address the issue of the value of the lower bound implicit constant C, in the work of Ford et al (Ford, 2016). The concluding Corollary in this paper shows, that the value of the constant C does diverge, although very slowly. The constant C, will eventually take any arbitrary value, providing that a large enough N (for p <= N) is considered.
The Infimum/Supremum bounds on the other hand are computationally very demanding. Their evaluation entails computations at an extreme level of precision. In return however, we obtain bounds, which provide an extremely close approximation of the maximal prime gaps. The Infimum/Supremum estimation error gradually increases over the range of p and attains at p = 18361375334787046697 approximately the value of 0.03.
Composites based on conductive polymer with carbon nanotubes in DMMP gas sensors – an overview
Authors: Nurazzi N.M. , Harussani M.M. , Siti Zulaikha N.D. , Norhana A.H. , Imran Syakir M. , Norli A. 
Published: February 2021

A number of recent terrorist attacks make it clear that rapid response, high sensitivity and stability are essential in the development of chemical sensors for the detection of chemical warfare agents. Nerve agent sarin [2-(fluoro-methyl-phosphoryl) oxypropane] is an organophosphate (OP) compound that is recognized as one of the most toxic chemical warfare agents. Considering sarin’s high toxicity, being odorless and colorless, dimethyl methylphosphonate (DMMP) is widely used as its simulant in the laboratory because of its similar chemical structure and much lower toxicity. Thus, this review serves to introduce the development of a variety of fabricated chemical sensors as potential sensing materials for the detection of DMMP in recent years. Furthermore, the research and application of carbon anotubes in DMMP polymer sensors, their sensitivity and limitation are highlighted. For sorption-based sensors, active materials play crucial roles in improving the integral performances of sensors. The novel active materials providing hydrogen-bonds between the polymers and carbon nanotubes are the main focus in this review.
Luis Jerónimo de Oré OFM — Symbolo Catholico Indiano (1598)
Authors: Kaproń OFM Kasper 
Published: February 2021

Brother Luis Jerónimo de Oré’s Symbolo Catholico Indiano was the most important and authorized sixteenth century treatise for the evangelization of the native Andean peoples. In its pages we find a vivid image of Andean reality immediately after the Conquest and a fervent exposition of the Catholic faith inspired in the recent Councils of Trent and Lima. The treatise also presents the missioning methods that served the Franciscans and other priests of the Viceroyalty for the evangelization of the indigenous peoples. Above all, in this text we find an admirable exposition of the theological doctrine and catechetical practice in the anthropological perspective that forms its starting point, which is the Andean man or woman who had never heard a message of salvation and dignity for the human person.
Brother Luis Jerónimo de Oré Rojas OFM was born in Huamanga in 1554 (now the geographi- cal Department of Ayacucho in Perú). He was a zealous missionary who travelled throughout the colonizers’ territory, from the extreme north of Florida to the extreme south of Chile. As an intelli- gent linguist he was the author of important rituals and catechisms in Quechua and Aymara. He was one of the first bishops born on the American soil, and the first to be incorporated into the Native Indian Council and the Vatican hierarchy; as a bishop he stood out for his protection of aboriginal groups and his energetic defense of the cultural integrity of Native Indian nations.
Nie zaprzepaścić bogactwa młodości.
Authors: Brzeziński Mirosław 
Published: February 2021

The wealth of youth is the wording used by John Paul II in the Letter to the young Parati semper to show that the time of youth is a special period of life which is the wealth of the person who experi- ences it. Also, Francis and the final document of the 2018 Youth Synod show the time of youth as a special period in human life.
In the article, based on the teachings of John Paul II, addressed to young people, as well as a post-synodal document for the Young, faith and discernment of vocation, the period of youth is shown as a special time of discovering, getting to know oneself and surrounding reality, designing life. Important elements of the wealth of youth are love, which demands, freedom in truth and friendship with Christ, who helps us discover and realize these values.
The article also shows the dangers of the modern world that can interfere with the use of the wealth of youth. They are: culture of temporality, lack of dreams and anxiety, digital environment, excessive and falsified focus on human sexuality, or external living conditions such as armed conflicts, poverty, and various forms of violence. In the face of these threats, ways of preventing and opposing them were also indicated. These are: the choice of Christ as Lord and Friend and openness to His teachings, openness to other people and entering into dialogue with him, it is the pursuit of dreams, shaping and development of spirituality, solidarity and joy of life.
Attempts at creating a new concept of literature •
Authors: Bárczi Zsófia 
Published: February 2021

AbstractUsing the term Hungarian literature in (Czecho-)Slovakia has been a problem for literary historiography specialised on reflecting on this corpus since the emergence of minority Hungarian literatures defined by geopolitics. Since the twenties onwards, the texts of the belletristic corpus have been asking, from time to time, about the relationships among space and identity, and providing answers from approaches heroic to ironic. The relationships of identity and space are reflected vigorously not only in belletristic representations but in the literary criticism that reflects on them and in literary historiography as well. In my study, I am going to follow the process having taken place in the literary-historical narrative between the two World Wars, which aimed to transform the geopolitical factors associated with identity into a constructed space through articulating the experience of intermediacy and reflecting on the “as-if” state of the intercultural existence of Hungarian literature in Slovakia.
Transcultural phenomena in contemporary Slovakian Hungarian prose
Authors: Csizmadia Gabriella Petres 
Published: February 2021

AbstractIn my study I deal with the transcultural liteary-spacial position of contemporary Slovakian Hungarian prose. I have selected the works for interpretation from the representative writings of the last five years (Katarina Durica: Szlovákul szeretni [To love in Slovak]. Libri, Budapest, 2016; Anikó N. Tóth: Szabad ez a hely? [Is this seat free?]. Pesti Kallgiram Kft., Budapest, 2017; Pál Száz: Fűje sarjad mezőknek [Grass grows on meadows]. Pesti Kalligram Kft., Budapest, 2017). Due to their diversity in genre, language and subject, these works provide a cross-section of contemporary Slovakian Hungarian prose. The peculiarity of the corpus is that it reflects on the hibridity, inter- and multiculturalism typical for Central-European literature (cf. Welsch, 1999), and it also demonstrates translocality, multiculturalism, multilingualism and the experience of using multiple language varieties.