bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary aldosteronism in pregnancy
Authors: Forestiero Vittorio , Sconfienza Elisa , Mulatero Paolo , Monticone Silvia 
Published: May 2022

AbstractPrimary aldosteronism (PA) is the most common form of secondary hypertension. Although hypertensive disorders seem to affect around 5–10% of pregnancies worldwide, literature counts less than 80 cases of PA diagnosed during the peri-partum period. In this review we discuss about current knowledge on pathophysiology, natural history, diagnosis and treatment of PA in pregnancy. Because of the physiologic changes in the renin–angiotensin–aldosterone system (RAAS) and the contraindication to both confirmatory test and subtype differentiation, diagnosis of PA during pregnancy is challenging and relies mostly on detection of low/suppressed renin and high aldosterone levels. The course of pregnancy in patients with PA is highly variable, ranging from progesterone-induced amelioration of blood pressure (BP) control to severe and resistant hypertension with potential maternal and fetal complications. Mineralcorticoid receptor antagonists (MRA) are the recommended and most effective drugs for treatment of PA. As the anti-androgenic effect of spironolactone can potentially interfere with sexual development, their prescription is not recommended during pregnancy. On the other side, eplerenone, has proven to be safe and effective in 6 pregnant women and may be added to conventional first line drug regimen in presence of resistant hypertension or persistent hypokalemia. Ideally, patients with unilateral forms of PA should undergo adrenalectomy prior to conception, however, when PA is diagnosed during pregnancy and medical therapy fails to adequately control hypertension or its complications, adrenalectomy can be considered during the second trimester in case of unilateral adrenal mass at MRI-scan.
Conversion of waste into organo-mineral fertilizers: current technological trends and prospects
Authors: Bouhia Youness , Hafidi Mohamed , Ouhdouch Yedir , Boukhari Mohammed El Mehdi El , Mphatso Chango , Zeroual Youssef , Lyamlouli Karim 
Published: May 2022

AbstractOne of agriculture’s most important goals is finding the proper equilibrium between sustainability and intensification of production. The exponential growth of the world population, climate variability, and soil degradation are essential factors that require the development of novel agricultural practices to achieve food security. In this context, organo-mineral fertilization has been proposed as a promising approach. Such a concept is based on novel fertilizers formulations combining organic and mineral resources features, which could simultaneously address soil fertility and health issues. The manufacturing processes of organo-mineral fertilizers (OMF) are highly versatile and revolve around the co-processing of organic and mineral matrices. OMF’s peculiarity resides in using systemic methodologies for waste valorization to generate cost-effective and eco-friendly products in alignment with the bio-circular economy. Despite their advantages, OMF adoption by farmers is still not satisfactory, which could be attributed to the difficulty of accessibility and a stagnant market. This work critically reviews recent advances in the organo-mineral fertilization concept. Our review provides an in-depth understanding of the chemical, biological, and thermal methodologies used for OMF generation through mineral and organic matrices co-processing. We also discuss the positive effect of such products on the plant-soil system by focusing on the mechanism of action. Furthermore, this review scrutinizes the innovation profile of OMF based on trends of patent submission during the last 20 years. It also provides future research and development pathways based on current drawbacks and limitations of the industry.
Graphical abstract
Organizational behavior in international strategic alliances and the relation to performance – a literature review and avenues for future research
Authors: Gehrisch Marius G. , Süß Stefan 
Published: May 2022

AbstractThis paper presents a systematic literature review of the research on behavioral factors influencing the performance of international strategic alliances. After capturing the relevance of the research field, we observe the distribution of publications and derive quantitative metrics. Further, we focus on the terms related to alliance performance used in this research domain. Then, the results regarding the behavioral factors of influence on the individual, group-related and organizational level and their relation to alliance performance are stated. Our analysis ascertains that some factors are present on at least two behavioral levels and are understood differently on each level, leading to a certain multidimensionality. Therefore, we develop a categorization that cross all behavioral levels based on four broad categories: relational factors, learning and knowledge, conflict, and other (unrelated) factors. Based on this analysis, we identify avenues for future research. Beside methodological needs for research, gaps concerning the multidimensionality we recognized and various influencing factors are identified, as ambiguous results are apparent or other factors have been scarcely analyzed so far.
Effect of the Series Resistance on the Current Response of a HgCdTe Avalanche Photodiode Under High-intensity Nanosecond Irradiation
Authors: Storebø Asta Katrine , Brudevoll Trond , Selvig Espen , Hansen Runar Wattum , Lorentzen Torgeir , Haakenaasen Randi 
Published: May 2022

AbstractWe investigate the nonlinear signal current response of a Hg0.72Cd0.28Te avalanche photodiode (APD) irradiated by high-intensity, finite-duration laser pulses. At high irradiation levels and/or high gains, carrier-induced perturbations in the junction electric field and avalanche gain strongly influence the temporal behavior of the APD current. The total series resistance will play a major role here, and four values of the series resistance were used for mapping out the APD response. When striving for maximum achievable bandwidth, the internal junction capacitance and the internal series resistance set the ultimate limits for an APD. A signal analysis of these high-intensity nonlinear gain effects should therefore begin with an intrinsic APD, and proceed with adding appropriate external series resistances. A simultaneous modeling of the entire external circuit is then required. To this end, we have combined full-band Monte Carlo (MC) transport simulation in the active multiplication zone with conventional circuit modeling outside. We demonstrate how overshoot/undershoot and rapid oscillations in the signal current evolve in time as a function of the chosen external series resistances at two different high-intensity irradiation levels. Oscillations are shown to persist slightly beyond the duration of the laser pulse when operating the diode within the junction transit time-limited regime. The periodicity of the oscillations is related to the junction transit time and remains only weakly dependent on irradiation levels and external resistance values until we enter the resistance–capacitance (RC)-limited case. Here, a change occurs where oscillations are smoothed out as external series resistances are increased further.
So flexibel wie möglich?!
Authors: Kochskämper Dorothee , Lips Anna 
Published: May 2022

ZusammenfassungDie Maßnahmen zur Eindämmung der Corona-Pandemie haben das Studieren und die Studienorganisation massiv verändert. Doch: Wie nachhaltig werden und sollen diese Veränderungen sein? Was wünschen sich Studierende? Der vorliegende Beitrag beschäftigt sich anhand der Daten der bundesweiten Studierendenbefragung Stu.diCo II (N = 2527) aus dem Sommersemester 2021 mit der Frage, was von den Studierenden während der vorrangig online stattgefundenen Semester besonders vermisst wurde und was aus Sicht der Studierenden aus den Formaten an der Hochschule in Zukunft beibehalten werden sollte. Der Fokus wird dabei auf Studierende der (Sozial‑)Pädagogik und Erziehungs- und Bildungswissenschaften (n = 548) gerichtet. Es wird die Frage gestellt, was sich aus den Ergebnissen der bundesweiten Studierendenbefragung Stu.diCo II für den „Blick in die Zukunft“ entnehmen lässt und Visionen für ein „Studium 2035 der Sozialen Arbeit“ entworfen.
Scalpel Morcellation During Laparoscopic Hysterectomy for Large Uterine Fibroids. Is It a Safe Alternative to Power-Morcellation?
Authors: Abouzid Amr , Shetiwy Mosab , Hassan Amany , Elghaffar Mohamed Abd 
Published: May 2022

Abstract
Background
Laparoscopic hysterectomy has many surgical advantages. Specimen retrieval options after a laparoscopic hysterectomy include laparotomy or “mini-laparotomy,” vaginal delivery, and removal through a laparoscopic port using intracorporeal power morcellation.

Patients and Methods
Fifty-two lady patients underwent (manual) scalpel morcellation of the uterus through the anterior abdominal wall after laparoscopic hysterectomy for large uterine fibroids, to facilitate specimen delivery through the vagina without employing any abdominal incisions; this study was done in the Department of Surgical Oncology, Oncology Center, Mansoura University, Egypt.

Results
The mean operative time was 140 min; the mean scalping time was 17.21 min. The estimated blood loss was 105.29 ml. Extensive intraoperative adhesions were noted in 67.3% of the patients. The postoperative uterine weight had a median of 450 g (range 320–740 g). The median uterine length was 14 cm (range 9–23 cm), while its width was 9 cm (range 6–18 cm). Leiomyoma was the common postoperative pathology in most of the cases (96.15%) with a median size of 8 cm (range 5–12 cm).

Conclusion
Scalpel morcellation of large uterine leiomyomas after laparoscopic hysterectomy is a safe and cheap method. Its merits include no intraperitoneal dissemination, spillage, and intact specimens’ delivery for proper postoperative pathological examination.
Alcoholgebruik en zwangerschap: prevalentie, risico’s en beweegredenen
Authors: Sartorius Daan , Smit Koen , Voogt Carmen 
Published: May 2022

SamenvattingAlcoholgebruik rond de zwangerschap kan negatieve consequenties hebben voor het (on)geboren kind. Voor vrouwen die zwanger willen worden, zwanger zijn of borstvoeding geven luidt het advies dan ook om geen alcohol te drinken – de nulnorm. Dit artikel gaat in op hoe vaak alcoholgebruik rond de zwangerschap voorkomt, risico’s van alcoholgebruik vóór, tijdens en na de zwangerschap, en factoren die samenhangen met alcoholgebruik rond de zwangerschap. Ten slotte wordt besproken hoe (geboortezorg)professionals deze kennis het beste kunnen toepassen en welke (beleids)maatregelen ingezet kunnen worden.
Voor elke naaste van een probleemdrinker een passend aanbod
Authors: Basemans Sonja , de Jong Mary 
Published: May 2022

SamenvattingBinnen het programma Vroegsignalering Alcohol van Verslavingskunde Nederland draait momenteel het project Naasten. Problematisch alcoholgebruik raakt namelijk niet alleen de drinkers zelf, maar heeft ook een grote impact op de mensen om hen heen. Omdat we elke naaste een passend aanbod gunnen, is het landelijke project Naasten opgezet. In dit artikel leest u wat de aanleiding en de doelen zijn van dit project en hoe het is opgebouwd.
Deep learning based regime-switching models of energy commodity prices
Authors: Mari Carlo , Mari Emiliano 
Published: May 2022

AbstractWe discuss a deep learning based approach to model the complex dynamics of commodity prices observed in real markets. A regime-switching model is proposed to describe the time evolution of market prices. In this model, the base regime is described by a mean-reverting diffusion process and the second regime is driven by the predictions of a deep neural network trained on the market log-returns time series. A statistical technique, based on the method of simulated moments, is proposed to estimate the model on market data. We applied this methodology to energy commodity price time series with very different characteristics, namely the US wholesale electricity, natural gas and crude oil price daily time series. The obtained results show a good agreement with empirical data. In particular, the model seems to reproduce in a very interesting way the first four central moments of the empirical distributions of log-returns as well as the shape of the observed price time series.
Cultural Theory’s contributions to climate science: reply to Hansson
Authors: Verweij Marco , Ney Steven , Thompson Michael 
Published: May 2022

AbstractIn his article, ‘Social constructionism and climate science denial’, Hansson claims to present empirical evidence that the cultural theory developed by Dame Mary Douglas, Aaron Wildavsky and ourselves (among others) leads to (climate) science denial. In this reply, we show that there is no validity to these claims. First, we show that Hansson’s empirical evidence that cultural theory has led to climate science denial falls apart under closer inspection. Contrary to Hansson’s claims, cultural theory has made significant contributions to understanding and addressing climate change. Second, we discuss various features of Douglas’ cultural theory that differentiate it from other constructivist approaches and make it compatible with the scientific method. Thus, we also demonstrate that cultural theory cannot be accused of epistemic relativism.
Patient-self-reported history of restraint among 17-year-olds: a retrospective study of records by non-specialist dentists in the public dental service in Hordaland, Norway
Authors: Aarvik R. S. , Svendsen E. J. , Agdal M. L. 
Published: May 2022

AbstractPurposeThe primary purposes were to examine dental records of Norwegian adolescents’ with and without self-reported history of restraint for information about oral health (DMFT), total scheduled time in the Public Dental Service (PDS) (dental appointments, cancelled and missed appointments), and reluctant behaviour and/or dental fear and anxiety (DFA). Another purpose was to explore their dental records for information recorded by the dentist concerning the use of restraint.MethodsData on patient-self-reported history of restraint and DFA were collected in a population-based cross-sectional survey of 17-year-olds in the PDS in Hordaland, Norway, 2019. Patients were divided into two groups: self-reported restraint group (N1 = 26) and self-reported non-restraint group (N2 = 200). Data on oral health and dental treatment, total scheduled time of the PDS, reluctant behaviour or DFA, and information on the use of restraint were extracted from the dental records written by non-specialist dentists using a pre-set protocol covering the period from 2002 to 2019.ResultsA total of 206 dental records were analysed. Adolescents with self-reported history of restraint (n1 = 18) had higher DMFT and greater descriptions of reluctant behaviour and/or DFA, and total scheduled time compared with the self-reported non-restraint group (n2 = 188). The use of restraint was recorded in the dental records of one patient from the self-reported restraint group and in two patients from the self-reported non-restraint group.ConclusionsThe adolescents with self-reported history of restraint had higher DMFT, higher scheduled time attending the PDS, and had more descriptions of reluctant behaviour and/or signs of DFA compared with the self-reported non-restraint group. The patient records contained limited information concerning restraint, and there were significant discrepancies between patient-self-reported history of restraint and the recording of restraint by the dentist in the patients’ records.
Prediction of failures in the project management knowledge areas using a machine learning approach for software companies
Authors: Taye Gizatie Desalegn , Feleke Yibelital Alemu 
Published: May 2022

AbstractIn this paper we propose a novel machine-learning model to predict project management knowledge areas failure for software companies using ten knowledge areas in project management based solely on the criteria of unambiguity, measurability, consistency, and practicability. The majority of software projects fail in software companies due to a lack of software project managers who are unfamiliar with the Project Management Knowledge Areas (PMKAs) that are used without considering the company's conditions or project contexts. By distributing questionnaires, we use an experimental methodology and the snowball sampling method to collect data from software businesses. We employ machine learning techniques including Support Vector Machines (92.13%), Decision Trees (90%), K-Nearest Neighbors (87.64%), Logistic Regression (76.4%), and Naive Bayes (66%) to adapt data from failed software projects. When we look at the results, Support Vector Machine outperforms the other four machine learning methods. High dimensional data is more efficient and contains nonlinear changes since Support Vector Machines deal with categorical data. The study's purpose is to improve project quality and decrease software project failure. Finally, we recommend collecting more failed project datasets from software businesses and comparing them to our findings to predict knowledge domain failure.
Bayesian spatial econometrics: a software architecture
Authors: Kuschnig Nikolas 
Published: May 2022

AbstractBayesian approaches play an important role in the development of new spatial econometric methods, but are uncommon in applied work. This is partly due to a lack of accessible, flexible software for the Bayesian estimation of spatial models. Established probabilistic software struggles with the specifics of spatial econometrics, while classical implementations do not harness the flexibility of Bayesian modelling. In this paper, I present a layered, objected-oriented software architecture that bridges this gap. An implementation in thebsregpackage allows quick and easy estimation of spatial econometric models, while remaining maintainable and extensible. I demonstrate the benefits of the Bayesian approach and using a well-known dataset on cigarette demand. First, I show that Bayesian posterior densities yield better insights into the uncertainty of non-linear models. Second, I find that earlier studies overestimate spillover effects for distance-based connectivities due to a scaling error, highlighting the need for tried and tested software.
Reconstructing the Potential of the Generalized Heat Equation
Authors: Khanfer Ammar 
Published: May 2022

AbstractWe reconstruct the potentialq(x) for the generalized heat equation of the form$$u_{t}-b(x)u_{xx}-a(x)u_{x}-q(x)u=0$$ut-b(x)uxx-a(x)ux-q(x)u=0under general conditions, and by means of a Carleman’s estimate.
Is It Bad to Prefer Attractive Partners?
Authors: D'ALESSANDRO WILLIAM 
Published: May 2022

AbstractPhilosophers have rightly condemned lookism—that is, discrimination in favor of attractive people or against unattractive people—in education, the justice system, the workplace, and elsewhere. Surprisingly, however, the almost universal preference for attractive romantic and sexual partners has rarely received serious ethical scrutiny. On its face, it is unclear whether this is a form of discrimination we should reject or tolerate. I consider arguments for both views. On the one hand, a strong case can be made that preferring attractive partners is bad. The idea is that choosing partners based on looks seems essentially similar to other objectionable forms of discrimination. (In particular, the preference for attractive partners is arguably both unfair and harmful to a significant degree.) One can try to resist this conclusion in several ways. I consider three possible replies. The first has to do with the possibility of controlling our partner preferences. The second pertains to attractiveness and ‘good genes’. The last attempts to link certain aspects of attractiveness to a prospective partner's personality and values. I argue that the first two replies fail conclusively, while the third only amounts to a limited defense of a particular kind of attractiveness preference. The idea that we should often avoid preferring attractive partners is thus compelling.
Emotion Regulation Difficulties and Health-Risk Behaviours in Adolescents
Authors: Singh Parwinder , Singh Amandeep 
Published: May 2022

AbstractHealth-Risk Behaviours (HRBs) are significantly associated with avoidable mortality in adolescents, and preventing HRBs requires an adequate understanding of related factors. Among associated factors, emotion regulation difficulties may impact youths’ engagement in HRBs. Researchers explored the relation of emotion regulation with HRBs; however, specific emotion regulation difficulties for less severe and more prevalent HRBs, such as self-harming behaviour, risky-driving, violence, unhealthy dietary behaviour, and poor adherence to prescribed medication, has not been much explored. The current study aimed to explore the predictability of adolescents’ specific difficulties in emotion regulation in relation to their engagement in HRBs. For this purpose, six different HRBs, that is, self-harm, violence, risky-driving, unhealthy dietary behaviour, inadequate physical activity, and lack of medication adherence, were studied. A total of 617 (Males = 356) adolescents (Mage = 15.77) from five districts of Punjab state (India) provided required information on standardised self-report measures. The data were subjected to regression analysis, and the findings show that the participants who scored high on emotion regulation difficulties reported engagement in HRBs more than their counterparts. Some specific difficulties are more important than others for different forms of HRBs. It implies that the intervention programmes targeting specific HRBs should address specific facets of emotional dysregulation.
Denialism and Populism: Two Sides of a Coin in Jair Bolsonaro's Brazil
Authors: von Bülow Marisa , Abers Rebecca Neaera 
Published: May 2022

AbstractThis article analyses the impacts of the COVID-19 pandemic on Brazil's populist radical right (PRR), as well as the responses of PRR actors to the pandemic, during the period from March 2020 to October 2021. Despite high death rates and declining popularity in the final months of that period, the Brazilian president consistently maintained a denialist narrative that incorporated key aspects of populist ideology. Based on the analysis of opinion surveys, documents, online messages and secondary sources, we argue that explaining this denialism requires understanding Brazil's radical-right populism as more than an ideology: it is a social movement. The impacts of the pandemic on Bolsonaro's PRR government and its responses can only be understood by simultaneously analysing the top-down actions of the leader and the bottom-up role of bolsonarismo – that is, the broad coalition of actors who actively support the radical-right project. The case of bolsonarismo suggests that literature on populism in general would profit from taking right-wing movements more seriously as co-producers of populist rhetoric and practices.
Trans Women Are (or Are Becoming) Female: Disputing the Endogeneity Constraint
Authors: Carter Matilda 
Published: May 2022

AbstractThe dispute between the transgender-rights movement and “gender-critical” activists represents a stark division in British public discourse. Although the issues of contention are numerous and require their own philosophical treatment, a core metaphysical concern underlies them. Gender-critical activists, such as Kathleen Stock, tend to argue that recognizing trans women as women requires erasing the category of biological sex. This implies that all trans women are male, and thus recognizing them as women rips female biology from the root of the category “woman.” In this article, I argue that this view is mistaken. As exogenously produced sex characteristics should count toward a person's sex classification, all trans women are (or are becoming) female.