bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-emission zones, modes of transport and house prices: evidence from Berlin’s commuter belt
Authors: Aydin Eren , Kürschner Rauck Kathleen 
Published: June 2022

AbstractWe study the impact of a tightening of a private driving restriction in Germany’s capital, the city of Berlin, on house prices in its affluent suburbs. Using geo-referenced data on train stations, motorway access points and offers of single-family houses for sale from Germany’s leading online property broker ImmobilienScout24 in a spatially staggered DiD framework, we find evidence for sizeable price growth premia for houses located in walking distance of train stations that lie within 30 min commuting duration to Berlin main station. Property located in immediate vicinity (5 min walking distance) of train stations within 30–40 min commuting duration, however, face penalties. Our findings are of relevance for the design of public infrastructure planning policies that seek to accommodate and facilitate changes in local demands for alternative and more environmentally sustainable modes of transport induced by private driving restrictions.
Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico
Authors: Lapidus Daniel , Salem Marwa E. , Beach Robert H. , Zayed Stephanie , Ortiz-Monasterio Ivan 
Published: June 2022

AbstractBetter targeting of fertilizer application can result in yields that meet or exceed those achieved without improved targeting while reducing total fertilizer use. However, in many growing regions, it may be difficult for farmers to access the necessary data to inform improved fertilizer use. The GreenSeeker Handheld is a low-cost technology that can be used to improve the efficiency of fertilizer applications by providing farmers with recommendations for the amount of nitrogen (N) to apply mid-season to meet the needs of their crops. The technology has been utilized on nearly 2,000 farmer fields representing more than 60,000 hectares in three regions of Mexico. In this study, the net effects of this technology on economic and environmental outcomes for these farmers were assessed. Specifically, farmer field-level data and locally derived greenhouse gas emission factors were analyzed and use of the GreenSeeker Handheld was estimated to have led to a total of $2.6 M USD in additional profits and more than 14,300 tons CO2e of avoided emissions. However, not all farmers utilizing this technology followed the resulting recommendations. Participating farmers that did not follow the recommendations experienced lower profits, indicating that benefits would have been larger had participants applied fertilizer at the levels recommended for their fields. In addition, the total benefits of higher farm profits and reduced emissions could be scaled up significantly if this technology were applied more broadly. However, development and implementation of the technology had been supported by subsidies and further efforts would be needed to make it sustainable.
Parsimonious hidden Markov models for matrix-variate longitudinal data
Authors: Tomarchio Salvatore D. , Punzo Antonio , Maruotti Antonello 
Published: June 2022

AbstractHidden Markov models (HMMs) have been extensively used in the univariate and multivariate literature. However, there has been an increased interest in the analysis of matrix-variate data over the recent years. In this manuscript we introduce HMMs for matrix-variate balanced longitudinal data, by assuming a matrix normal distribution in each hidden state. Such data are arranged in a four-way array. To address for possible overparameterization issues, we consider the eigen decomposition of the covariance matrices, leading to a total of 98 HMMs. An expectation-conditional maximization algorithm is discussed for parameter estimation. The proposed models are firstly investigated on simulated data, in terms of parameter recovery, computational times and model selection. Then, they are fitted to a four-way real data set concerning the unemployment rates of the Italian provinces, evaluated by gender and age classes, over the last 16 years.
In silico study to identify novel potential thiadiazole-based molecules as anti-Covid-19 candidates by hierarchical virtual screening and molecular dynamics simulations
Authors: Rashdan Huda R. M. , Abdelmonsef Aboubakr H. 
Published: June 2022

AbstractIn the present study, a new category of 1,3,4-thiadiazoles was developed by submitting methyl 2-(4-hydroxy-3-methoxybenzylidene) hydrazine-1-carbodithioate to react with the appropriate hydrazonoyl halides in presence of few drops of diisopropyl ethyl amine. The chemical structures of the newly synthesized derivatives were inferred by means of their micro-analytical and spectral data. Utilizing combined molecular docking and molecular dynamics techniques, the binding affinities and features of the synthesized compounds were evaluated against four SARS-CoV-2 target enzymes, namely, main protease (Mpro), papain-like protease (PLpro), RNA-dependent RNA polymerase (RdRp), and receptor-binding domain (RBD) of the spike protein. Compound 7 demonstrated promising binding affinities with the target enzymes Mpro, PLpro, RdRp, and RBD with docking scores of −11.4, −9.4, −8.2, and −6.8 kcal/mol, respectively. In addition, compound 7 exhibited MM-GBSA//100 ns MD docking score of −35.9 kcal/mol against Mpro. Structural and energetic analyses revealed the stability of the 7-Mpro complex over 100 ns MD simulations. In addition, compound 7 obeyed Lipinski’s rule of five, as it has acceptable absorption, distribution, and oral bioavailability inside the body. Therefore, compound 7 is considered as a promising starting point for designing potential therapeutic agents against Covid-19.
The Perception of Residential Water Tariff, Consumption, and Cost: Evidence of its Determinants Using Survey Data
Authors: Barberán Ramón , López-Laborda Julio , Rodrigo Fernando 
Published: June 2022

AbstractIn a survey of 1,500 households in Zaragoza (Spain), we found that respondents did not accurately know what the price of water was, and what the characteristics of the water tariff were, how much water they consumed, or how much it cost them; they thought they consumed less water than they actually did, and thought that their consumption level was normal; they believed they paid more than they really did, and considered the payments to be appropriate or expensive. Based on this sample of households, this paper analyses what determines the level of accuracy in the perception of consumers about their water tariff, their water consumption, and their total water cost, or, in other words, what determines the closeness between their perception and reality. The methodology applied is based on maximum likelihood estimates using various probit/logit models. The results obtained allow to identify the collectives to whom an information policy should be directed in order to approximate their perceptions closer to the real tariff, consumption and cost of water in households, and to point out the kind of information that should be transmitted in order to contribute to the preservation of water resources.
The PICLS high-throughput screening method for agents extending cellular longevity identifies 2,5-anhydro-D-mannitol as novel anti-aging compound
Authors: Alfatah Mohammad , Eisenhaber Frank 
Published: June 2022

AbstractAlthough aging is the biggest risk factor for human chronic (cancer, diabetic, cardiovascular, and neurodegenerative) diseases, few interventions are known besides caloric restriction and a small number of drugs (with substantial side effects) that directly address aging. Thus, there is an urgent need for new options that can generally delay aging processes and prevent age-related diseases. Cellular aging is at the basis of aging processes. Chronological lifespan (CLS) of yeast Saccharomyces cerevisiae is the well-established model system for investigating the interventions of human post-mitotic cellular aging. CLS is defined as the number of days cells remain viable in a stationary phase. We developed a new, cheap, and fast quantitative method for measuring CLS in cell cultures incubated together with various chemical agents and controls on 96-well plates. Our PICLS protocol with (1) the use of propidium iodide for fluorescent-based cell survival reading in a microplate reader and (2) total cell count measurement via OD600nm absorption from the same plate provides real high-throughput capacity. Depending on logistics, large numbers of plates can be processed in parallel so that the screening of thousands of compounds becomes feasible in a short time. The method was validated by measuring the effect of rapamycin and calorie restriction on yeast CLS. We utilized this approach for chemical agent screening. We discovered the anti-aging/geroprotective potential of 2,5-anhydro-D-mannitol (2,5-AM) and suggest its usage individually or in combination with other anti-aging interventions.
Ethical Issues in Social Science Research Employing Big Data
Authors: Hosseini Mohammad , Wieczorek Michał , Gordijn Bert 
Published: June 2022

AbstractThis paper analyzes the ethics of social science research (SSR) employing big data. We begin by highlighting the research gap found on the intersection between big data ethics, SSR and research ethics. We then discuss three aspects of big data SSR which make it warrant special attention from a research ethics angle: (1) the interpretative character of both SSR and big data, (2) complexities of anticipating and managing risks in publication and reuse of big data SSR, and (3) the paucity of regulatory oversight and ethical recommendations on protecting individual subjects as well as societies when conducting big data SSR. Against this backdrop, we propose using David Resnik’s research ethics framework to analyze some of the most pressing ethical issues of big data SSR. Focusing on the principles of honesty, carefulness, openness, efficiency, respect for subjects, and social responsibility, we discuss three clusters of ethical issues: those related to methodological biases and personal prejudices, those connected to risks arising from data availability and reuse, and those leading to individual and social harms. Finally, we advance considerations to observe in developing future ethical guidelines about big data SSR.
Examining what Mental Toughness, Ego Resiliency, Self-efficacy, and Grit measure: An exploratory structural equation modelling bifactor approach
Authors: Denovan Andrew , Dagnall Neil , Drinkwater Kenneth 
Published: June 2022

AbstractDespite conceptual similarities among the established non-cognitive constructs of Mental Toughness, Ego Resiliency, Self-efficacy, and Grit, preceding research typically considered these as adversary rather than complementary and potentially additive. Subsequently, comparatively few studies have examined these together. This paper, via two independent studies, examined commonality within Mental Toughness, Ego Resiliency, Self-efficacy, and Grit. This identified key elements that contribute to a broad, non-cognitive, resource-based construct. Study 1 (N = 2137) assessed shared variance among the non-cognitive constructs relative to a general factor. Study 2 (N = 1148) evaluated the replicability of the results from Study 1 and examined measurement invariance. Respondents completed established self-report measures indexing the study variables. Exploratory structural equation modelling bifactor analyses consistently revealed that Mental Toughness, the Ego-Resiliency Optimal Regulation subscale, and Self-efficacy loaded highly on a general factor, which the authors labelled as Non-Cognitive Adaptive Resourcefulness (NCAR). Invariance analyses supported the stability of this model across study context. This paper advanced conceptual understanding of the core shared features of independent non-cognitive constructs. The authors discuss the potential of NCAR and advocate the need for further research.
Strobilanthes Blume (Acanthaceae) in Myanmar, a new species and an updated checklist
Authors: Wood John R. I. , Aung Mu Mu , Wells Tom , Armstrong Kate E. 
Published: June 2022

SummaryA brief history of the discovery ofStrobilanthesspecies in Myanmar is presented. The revival of fieldwork in recent years has resulted in many new records, so an updated checklist of all known species from the country is needed. Selected specimens are cited and distribution notes provided. One new species,Strobilanthes hiansJ.R.I.Wood & K.Armstr., with unusual pollen, is described and illustrated bringing the total of recognised species in the country to 81 with six additional infraspecific taxa.
Fractional characteristic functions, and a fractional calculus approach for moments of random variables
Authors: Tomovski Živorad , Metzler Ralf , Gerhold Stefan 
Published: June 2022

AbstractIn this paper we introduce a fractional variant of the characteristic function of a random variable. It exists on the whole real line, and is uniformly continuous. We show that fractional moments can be expressed in terms of Riemann–Liouville integrals and derivatives of the fractional characteristic function. The fractional moments are of interest in particular for distributions whose integer moments do not exist. Some illustrative examples for particular distributions are also presented.
Chemistry and bioactivities of natural steroidal alkaloids
Authors: Xiang Mei-Ling , Hu Bin-Yuan , Qi Zi-Heng , Wang Xiao-Na , Xie Tian-Zhen , Wang Zhao-Jie , Ma Dan-Yu , Zeng Qi , Luo Xiao-Dong 
Published: June 2022

AbstractSteroidal alkaloids possess the basic steroidal skeleton with a nitrogen atom in rings or side chains incorporated as an integral part of the molecule. They have demonstrated a wide range of biological activities, and some of them have even been developed as therapeutic drugs, such as abiraterone acetate (Zytiga®), a blockbuster drug, which has been used for the treatment of prostate cancer. Structurally diverse natural steroidal alkaloids present a wide spectrum of biological activities, which are attractive for natural product chemistry and medicinal chemistry communities. This review comprehensively covers the structural classification, isolation and various biological activities of 697 natural steroidal alkaloids discovered from 1926 to October 2021, with 363 references being cited.
Transcervical Fibroid Ablation (TFA) with the Sonata System: Updated Review of a New Paradigm for Myoma Treatment
Authors: Lindner L. H. , Roy K. , Toub D. B. 
Published: June 2022

Abstract

Purpose of Review

This paper provides an update of the recent evidence related to transcervical fibroid ablation (TFA) with the Sonata® System.

Recent Findings

An additional 27 papers representing over 400 women and more than 800 treated fibroids have been published. These demonstrate consistent, positive results, representing multiple prospective clinical trials, subgroup analyses, health economic analyses, case series, and systematic reviews of TFA. These include a 147-patient prospective clinical trial of TFA (the SONATA Clinical Trial) that demonstrated sustained symptom relief and an 8.2% cumulative reintervention rate through 3 years, a long-term study (VITALITY) confirming durable symptom relief with an 11.8% reintervention rate over > 5 years of mean follow-up, a clinical trial (OPEN) suggesting minimal potential for intrauterine adhesiogenesis post-TFA, preliminary results of a global registry (SAGE), and two subgroup analyses of TFA reporting favorable and safe outcomes in women with large fibroids > 5 cm in diameter. Three comparative health economic studies demonstrate favorable economic outcomes against both myomectomy and hysterectomy. A recent ACOG Practice Bulletin also noted equivalent outcomes for transcervical, laparoscopic, and transvaginal fibroid ablation.

Summary

Accumulated clinical evidence, including systematic reviews and longitudinal prospective clinical trials, continues to confirm the safety and efficacy of TFA in women with symptomatic fibroids, including myomata > 5 cm. As a transcervical treatment modality that can safely address all nonpedunculated uterine fibroid types, the continued evidence base confirms TFA as an innovative and useful treatment option that meets a significant unmet clinical need, including among underserved populations, delivering significant durable reductions in fibroid symptoms.
Risk, benefit, and social value in Covid-19 human challenge studies: pandemic decision making in historical context
Authors: Rosenheck Mabel 
Published: June 2022

AbstractDuring the Covid-19 pandemic, ethicists and researchers proposed human challenge studies as a way to speed development of a vaccine that could prevent disease and end the global public health crisis. The risks to healthy volunteers of being deliberately infected with a deadly and novel pathogen were not low, but the benefits could have been immense. This essay is a history of the three major efforts to set up a challenge model and run challenge studies in 2020 and 2021. The pharmaceutical company Johnson and Johnson, the National Institutes of Health in the United States, and a private-public partnership of industry, university, and government partners in Britain all undertook preparations. The United Kingdom’s consortium began their Human Challenge Programme in March of 2021.Beyond documenting each effort, the essay puts these scientific and ethical debates in dialogue with the social, epidemiological, and institutional conditions of the pandemic as well as the commercial, intellectual, and political systems in which medical research and Covid-19 challenge studies operated. It shows how different institutions understood risk, benefit, and social value depending on their specific contexts. Ultimately the example of Covid-19 challenge studies highlights the constructedness of such assessments and reveals the utility of deconstructing them retrospectively so as to better understand the interplay of medical research and research ethics with larger social systems and historical contexts.
Parents’ Perceptions on the Debated Parenting Practice of Cognitive Enhancement in Healthy Children and Adolescents
Authors: Hiltrop Kati , Sattler Sebastian 
Published: June 2022

AbstractFirst evidence shows that some parents engage in the health-endangering practice of (mis-)using prescription drugs to boost their children’s school performance. But little is known about parental perspectives on this phenomenon. This study aims to better understand parents’ perspectives on the non-medical use of prescription drugs to improve healthy children’s cognitive functioning. We conducted twelve semi-structured face-to-face interviews with a diverse sample of parents in Germany, and applied qualitative content analysis to explore their perspectives on instrumentalizing prescription drugs for improving the performance of healthy children, including their underlying knowledge (gaps), moral evaluations, evaluations of accompanied risks and benefits, opinions on potential motivators, and wishes regarding policy-making. The results show that parents typically believed themselves knowledgeable about such prescription drug (mis-)use, although they were not aware of anyone in their social environment taking them for enhancement. Parents generally considered such behavior to be morally reprehensible, cheating, and similar to doping in sports, and they typically claimed that no situation or occasion could motivate them to administer prescription drugs to their healthy children. Health risks (including side effects or addiction) were a typical expectation of drug use. That doctors should give such drugs to healthy young people was seen as unjustifiable. The results suggest that morality and risk–benefit evaluations of parents play a major role in their decision-making concerning this potentially risky instrumentalization of non-medical drugs. These insights are of distinct importance, especially for future research and further discussions on this topic, such as an evidence-based public dialog and ethics debates.
A rock-cut tomb of the Mongol period in the Ilkhanid capital of Maraghe
Authors: Moradi Amin 
Published: June 2022

AbstractBy the time of Kublai’s death, the Mongol Empire had fractured into four separate khanates or empires including the Golden Horde [Kipchak] in the northwest, the Chagatai Khanate in Central Asia, the Ilkhanate, based in modern-day Iran, and the Yuan Dynasty in the east. Although the burial architecture of the Yuan Dynasty and their funeral ritual have been the foci of the archaeologist, there have been no convincing conclusions about the other branches of the Mongol Empire. According to historical literature, all of the Ilkhanid Khans before Ghazan (1271–1304 CE) were buried in unknown places after their death. Archaeologically, not only we have no clue to trace the royal tombs of the pre-Ghazan period, even the identifiable tombs of the royal family members of the Ilkhanid Iran and high-ranking Mongol nobles have not discovered. Taking Maraghe, in Northwest Iran, as the first Ilkhanid capital (1256–1265 CE), the aim of this paper is to study the archaeological remains of the enigmatic rock-cut complex in the village of Varōy [Varjavy] to provide a more detailed description of the current remains. The results show that, while reassessment of the possible functions regarding this site suggest and outright contradict to the traditional views of scholars as a mithraeum, the architectural layout of this building is deeply intertwined with Mongol funeral sites and has much to tell about the relationship between rock-cut complexes and Ilkhanid cemeteries.
Measuring reciprocity in a directed preferential attachment network
Authors: Wang Tiandong , Resnick Sidney I. 
Published: June 2022

AbstractEmpirical studies (e.g. Jiang et al. (2015) and Mislove et al. (2007)) show that online social networks have not only in- and out-degree distributions with Pareto-like tails, but also a high proportion of reciprocal edges. A classical directed preferential attachment (PA) model generates in- and out-degree distributions with power-law tails, but the theoretical properties of the reciprocity feature in this model have not yet been studied. We derive asymptotic results on the number of reciprocal edges between two fixed nodes, as well as the proportion of reciprocal edges in the entire PA network. We see that with certain choices of parameters, the proportion of reciprocal edges in a directed PA network is close to 0, which differs from the empirical observation. This points out one potential problem of fitting a classical PA model to a given network dataset with high reciprocity, and indicates that alternative models need to be considered.
Abolishing Gender on D
Authors: Conrod Kirby 
Published: June 2022

AbstractThis article presents a Minimalist syntactic analysis of sociopragmatically conditioned gender features on pronouns. To account for inter- and intra-speaker variation, I locate the parameter for social gender in the presence or absence of an unvalued gender feature on the phase head D. Supporting this analysis, I show that variation in English speakers’ acceptability and use of definite, specific singular they, as in (i), is sensitive to reference; this sensitivity is robustly explained by the location of gender features on D.(i) Taylori is writing theiri own autobiography.For speakers who report (i) as ungrammatical, a crash results from the uGender feature on D remaining unvalued. For innovative speakers, uGender is not present on D and no crash results from a lack of gender features. This analysis explains why a pragmatic feature like social gender can cause true syntactic ungrammaticality, since the narrow syntax encodes certain pragmatic features as obligatory.