bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of water resources parameters using artificial intelligence techniques and learning algorithms: a survey
Authors: Poursaeid Mojtaba , Poursaeed Amir Hossein , Shabanlou Saeid 
Published: May 2022

AbstractQualitative analysis of water resources is one of the most widely used topics in water resources research today. Researchers use various analysis methods of water parameters to achieve the desired goals in this field. This research uses artificial intelligence (AI), learning machine (LM), data mining, and mathematical techniques to simulate water behavior and estimate its parametric changes. The proposed model used in this study was a Self-adaptive Extreme learning machine (SAELM) to estimate hydrogeological parameters of the Meghan wetland located in Markazi province in Iran. In addition, SAELM simulation results were compared to Least square support vector machine (LSSVM), Multiple linear regression (MLR), and Adaptive Neuro-fuzzy inference system (ANFIS) models. The simulated parameters were Electrical Conductivity (EC), Total Dissolved Solids (TDS), Groundwater Level (GWL), and salinity. This information was related to sampling for 175 months in the study area. Finally, after simulation operation, four models were introduced as superior models. Mentioned exceptional models were SAELM in GWL modeling, SAELM in modeling the EC, MLR in salinity simulation, and LSSVM in the simulation of TDS parameters. Moreover, by five approaches, the models' performance was evaluated. Suggested strategies were performance evaluation by statistical indicators, Wilson score method uncertainty analysis (WSMUA), response & correlation plots, discrepancy ratio charts, and distribution error diagrams. Based on statistical indicators, the SAELMGWL model was the most accurate model with RMSE, MAPE, and R2 indices equal to 0.1496, 0.0043, and 0.9933, respectively. The ANFIS model had the worst results in simulation.
Factors influencing hydrogen peroxide decomposition dynamics for thermochemical treatment of bottomhole zone
Authors: Anikin Oleg V. , Bolotov Alexander V. , Minkhanov Ilgiz F. , Varfolomeev Mikhail A. , Tazeev Aidar R. , Chalin Vladislav V. , Lutfullin Azat A. , Abusalimov Eduard M. 
Published: May 2022

AbstractRecently, interest in on-site heat generation has increased due to injection of thermochemical fluids as a complex effect on well productivity. The method of thermochemical treatment with H2O2 while restoring and increasing the filtration characteristics of the bottomhole formation zone is a relatively new and insufficiently studied technology. The article discusses the key factors affecting the exothermic decomposition of this fluid when this fluid is injected into the well. The heat effects, pressure growth and decomposition time of H2O2 were determined depending on the salinity of the water, the composition of terrigenous rock, and various concentrations of H2O2. Physical 1-D modeling of H2O2 injection was carried out on rock models with mobile and stationary oil, which demonstrated a sharp increase in temperature by 100–240 °C caused by the decomposition of H2O2 due to the catalyst and the presence of catalytic active sites in the rock. As a result of this thermochemical treatment, the rock was partially cleaned of immobile oil and heavy sediments. Injection of H2O2 with a catalyst has shown the effectiveness of displacement of mobile oil from the filled sand model. Thus, the results of this study can provide a preliminary assessment of the effectiveness of H2O2 thermochemical treatment in fields operated at a later stage of development.
The effect of scan parameters on T1, T2 relaxation times measured with multi-dynamic multi-echo sequence: a phantom study
Authors: Zheng Zuofeng , Yang Jiafei , Zhang Dongpo , Ma Jun , Yin Hongxia , Liu Yawen , Wang Zhenchang 
Published: May 2022

AbstractMulti-Dynamic Multi-Echo (MDME) Sequence is a new method which can acquire various contrast-weighted images using quantitative relaxometric parameters measured from multicontrast images. The purpose of our study was to investigate the effect of scan parameters of MDME Sequence on measured T1, T2 values of phantoms at 3.0 T MRI scanner. Gray matter, white matter and cerebrospinal fluid simulation phantoms with different relaxation times (named GM, WM, CSF, respectively) were used in our study. All the phantoms were scanned 9 times on different days using MDME sequence with variations of echo train length, matrix, and acceleration factor. The T1, T2 measurements were acquired after each acquisition. The repeatability was characterized as the intragroup coefficient of variation (CV) of measured values over 9 times, and the discrepancies of measurements across different groups were characterized as intergroup CVs. The highest intragroup CVs of T1-GM, T2-GM, T1-WM, T2-WM, T1-CSF, T2-SCF were 1.36%, 1.75%, 0.74%, 1.41%, 1.70%, 7.79%, respectively. The highest intergroup CVs of T1-GM, T2-GM, T1-WM, T2-WM, T1-CSF, T2-SCF were 0.54%, 1.86%, 1.70%, 0.94%, 1.00%, 2.17%, respectively. Quantitative T1, T2 measurements of gray matter, white matter and cerebrospinal fluid simulation phantoms derived from the MDME sequence were not obviously affected by variations of scanning parameters, such as echo train length, matrix, and acceleration factor on 3T scanner.
Effect of matching uncertainty on population parameter estimation in mark-recapture analysis of photo-identification data
Authors: Ashe Erin , Hammond Philip S. 
Published: May 2022

AbstractQuantifying and dealing with uncertainty are key aspects of ecological studies. Population parameter estimation from mark-recapture analyses of photo-identification data hinges on correctly matching individuals from photographs and assumes that identifications are detected with certainty, marks are not lost over time, and that individuals are recognised when they are resighted. Matching photographs is an inherently subjective process. Traditionally, two photographs are not considered a “match” unless the photo reviewer is 100% certain. This decision may carry implications with respect to sample size and the bias and precision of the resultant parameter estimates. Here, we present results from a photo-identification experiment on Pacific white-sided dolphins to assign one of three levels of certainty that a pair of photographs represented a match. We then illustrate how estimates of abundance and survival varied as a function of the matching certainty threshold used. As expected, requiring 100% certainty of a match resulted in fewer matches, which in turn led to higher estimates of abundance and lower estimates of survival than if a lower threshold were used to determine a match. The tradition to score two photographs as a match only when the photo reviewer is 100% certain stems from a desire to be conservative, but potential over-estimation of abundance means that there may be applications (e.g., assessing sustainability of bycatch) in which it is not precautionary. We recommend exploring the consequences of matching uncertainty and incorporating that uncertainty into the resulting estimates of abundance and survival.
Detection and recognition of UA targets with multiple sensors
Authors: Chen W.S. , Chen X.L. , Liu J. , Wang Q.B. , Lu X.F. , Huang Y.F. 
Published: May 2022

AbstractModern low-altitude unmanned aircraft (UA) detection and surveillance systems mostly adopt the multi-sensor fusion technology scheme of radar, visible light, infrared, acoustic and radio detection. Firstly, this paper summarises the latest research progress of UA and bird target detection and recognition technology based on radar, and provides an effective way of detection and recognition from the aspects of echo modeling and micro motion characteristic cognition, manoeuver feature enhancement and extraction, motion trajectory difference, deep learning intelligent classification, etc. Furthermore, this paper also analyses the target feature extraction and recognition algorithms represented by deep learning for other kinds of sensor data. Finally, after a comparison of the detection ability of various detection technologies, a technical scheme for low-altitude UA surveillance system based on four types of sensors is proposed, with a detailed description of its main performance indicators.
African Studies Keyword: Autoethnography
Authors: Mara Kathryn , Thompson Katrina Daly 
Published: May 2022

AbstractAutoethnography—a methodology that foregrounds personal experience both during research and in writing about it—is a useful keyword for scholars working in Africa and the diaspora. Mara and Thompson argue that by exploring new forms of writing and engaging in critical self-reflexivity regarding (shifting) positionalities, autoethnography—particularly collaborative approaches—is vital to ongoing efforts to decolonize African Studies. Mara and Thompson propose changes necessary for the development of Africanist autoethnography as a Keyword, and some hopeful indicators that these changes are already underway, including a small but growing body of Africanist autoethnographic work.
The Effectiveness of Group Triple P for Chinese Immigrant Parents of School Age Children Living in New Zealand
Authors: Wei Yun , Keown Louise J. , Franke Nike , Sanders Matthew R. 
Published: May 2022

AbstractThe study was a randomised controlled trial evaluating the effectiveness of the Group Triple P Program for Chinese immigrant parents living in New Zealand. Sixty-seven Chinese immigrant parents of a 5- to 9-year-old child with disruptive behaviour problems were randomly allocated to either an intervention or a waitlist group. Parents completed measures of child adjustment problems, general parenting practices, parenting practices in children's academic lives, parental adjustment, parental teamwork, and family relationships at pre-, post-, and 4-month follow-up. Intervention group ratings of programme satisfaction were collected following programme completion. Significant short-term intervention effects were found for improvements in child behaviour, parenting practices, parental teamwork, and parenting in the child academic context. All intervention effects, except for parental teamwork, were maintained at 4-month follow-up. There were no significant intervention effects for parental adjustment, however, medium effect sizes were found at post-intervention and follow-up. A high level of programme satisfaction was reported.
Polish spaces of Banach spaces
Authors: Cúth Marek , Doležal Martin , Doucha Michal , Kurka Ondřej 
Published: May 2022

AbstractWe present and thoroughly study natural Polish spaces of separable Banach spaces. These spaces are defined as spaces of norms, respectively pseudonorms, on the countable infinite-dimensional rational vector space. We provide an exhaustive comparison of these spaces with admissible topologies recently introduced by Godefroy and Saint-Raymond and show that Borel complexities differ little with respect to these two topological approaches.We investigate generic properties in these spaces and compare them with those in admissible topologies, confirming the suspicion of Godefroy and Saint-Raymond that they depend on the choice of the admissible topology.
AN ESCAPE FROM VARDANYAN’S THEOREM
Authors: DE ALMEIDA BORGES ANA , JOOSTEN JOOST J. 
Published: May 2022

AbstractVardanyan’s Theorems [36, 37] state that
$\mathsf {QPL}(\mathsf {PA})$
—the quantified provability logic of Peano Arithmetic—is
$\Pi ^0_2$
complete, and in particular that this already holds when the language is restricted to a single unary predicate. Moreover, Visser and de Jonge [38] generalized this result to conclude that it is impossible to computably axiomatize the quantified provability logic of a wide class of theories. However, the proof of this fact cannot be performed in a strictly positive signature. The system
$\mathsf {QRC_1}$
was previously introduced by the authors [1] as a candidate first-order provability logic. Here we generalize the previously available Kripke soundness and completeness proofs, obtaining constant domain completeness. Then we show that
$\mathsf {QRC_1}$
is indeed complete with respect to arithmetical semantics. This is achieved via a Solovay-type construction applied to constant domain Kripke models. As corollaries, we see that
$\mathsf {QRC_1}$
is the strictly positive fragment of
$\mathsf {QGL}$
and a fragment of
$\mathsf {QPL}(\mathsf {PA})$
.
Missing perspective: Marginalized groups in the social psychological study of social disparities
Authors: Matsick Jes L. , Oswald Flora , Kruk Mary 
Published: May 2022

AbstractDrawing on interdisciplinary, feminist insights, we encourage social psychologists to embrace the active participation of marginalized groups in social disparities research. We explain (1) how the absence of marginalized groups' perspectives in research presents a serious challenge to understanding intergroup dynamics and concomitant disparities, and (2) how their inclusion could assuage some of social psychology's “fatal flaws.”
Controlled lab experiments are one of many useful scientific methods to investigate bias
Authors: Okonofua Jason A. 
Published: May 2022

AbstractEcological validity is key in science and laboratory experiments alone cannot fully explain complex real-world phenomena. Yet the three flaws Cesario proposes do not characterize the field and are not “methodological trickery,” (sect. 5, para. 5) designed to intentionally mislead practitioners. In school discipline alone, these alleged flaws are indeed addressed and laboratory experimentation has contributed to mitigation of a real-world problem.
Taking social psychology out of context
Authors: Brownstein Michael , Kelly Daniel , Madva Alex 
Published: May 2022

AbstractWe endorse Cesario's call for more research into the complexities of “real-world” decisions and the comparative power of different causes of group disparities. Unfortunately, these reasonable suggestions are overshadowed by a barrage of non sequiturs, misdirected criticisms of methodology, and unsubstantiated claims about the assumptions and inferences of social psychologists.
External validity of social psychological experiments is a concern, but these models are useful
Authors: Mora Youri L. , Klein Olivier , Leys Christophe , Smeding Annique 
Published: May 2022

AbstractWe agree that external validity of social psychological experiments is a concern, we disagree these models are useless. Experiments, reconsidered from a situated cognition perspective and non-linearly combined with other methods (qualitative and simulations) allow grasping decision dynamics beyond bias outcomes. Dynamic (vs. discrete) insights regarding these processes are key to understand missing forces and bias in real-world social groups.
Challenging the utility of polygenic scores for social science: Environmental confounding, downward causation, and unknown biology
Authors: Burt Callie H. 
Published: May 2022

Abstract
The sociogenomics revolution is upon us, we are told. Whether revolutionary or not, sociogenomics is poised to flourish given the ease of incorporating polygenic scores (or PGSs) as “genetic propensities” for complex traits into social science research. Pointing to evidence of ubiquitous heritability and the accessibility of genetic data, scholars have argued that social scientists not only have an opportunity but a duty to add PGSs to social science research. Social science research that ignores genetics is, some proponents argue, at best partial and likely scientifically flawed, misleading, and wasteful. Here, I challenge arguments about the value of genetics for social science and with it the claimed necessity of incorporating PGSs into social science models as measures of genetic influences. In so doing, I discuss the impracticability of distinguishing genetic influences from environmental influences because of non-causal gene–environment correlations, especially population stratification, familial confounding, and downward causation. I explain how environmental effects masquerade as genetic influences in PGSs, which undermines their raison d’être as measures of genetic propensity, especially for complex socially contingent behaviors that are the subject of sociogenomics. Additionally, I draw attention to the partial, unknown biology, while highlighting the persistence of an implicit, unavoidable reductionist genes versus environments approach. Leaving sociopolitical and ethical concerns aside, I argue that the potential scientific rewards of adding PGSs to social science are few and greatly overstated and the scientific costs, which include obscuring structural disadvantages and cultural influences, outweigh these meager benefits for most social science applications.
Assessing the value of healthcare innovations: a proposal for an integrated health technology assessment–responsible innovation in health approach in the “new normal”
Authors: Mukherjee Kanchan , Walley Tom 
Published: May 2022

Abstract
There has been tremendous technological innovation in the healthcare sector, but it has also raised serious ethical and social concerns. The COVID-19 pandemic has only magnified these existing challenges. Hence, addressing these challenges becomes imperative in the “new normal.” In this context, this article uses a narrative synthesis approach to discuss the linkages of health technology, innovation, and policy to identify the challenges of this complex interaction by applying the principles of pragmatism and historicity to the existing literature. Moreover, the existing scientific mechanisms in the form of health technology assessment (HTA) and responsible innovation in health (RIH) are described to address these challenges. Using inductive epistemology, the linkages between HTA and RIH within a health innovation ecosystem framework are discussed for the future application of an integrated approach to address societal challenges. The proposed integrated approach of HTA and RIH is a work in progress and conceptualized as transdisciplinary, flexible, and adaptive, which is expected to facilitate future discussion, research, and policy action.
Obesity and loss of ambulation are associated with lower extremity oedema in Duchenne muscular dystrophy
Authors: Freytag Joshua M , Ryan Thomas D , Bange Jean E , Bonarrigo Kelly C , Chouteau Wendy A , Wittekind Samuel G , Tian Cuixia , Gao Zhiqian , Villa Chet R 
Published: May 2022

AbstractPatients with Duchenne muscular dystrophy have multiple risk factors for lower extremity oedema. This study sought to define the frequency and predictors of oedema. Patients aged 15 years and older were screened by patient questionnaire, and the presence of oedema was confirmed by subsequent physical exam. Twenty-four of 52 patients (46%) had oedema, 12 of whom had swelling extending above the foot and two with sores/skin breakdown. There was no significant difference in age, frequency, or duration of glucocorticoid use, non-invasive respiratory support use, forced vital capacity, cardiac medication use, or ejection fraction between patients with and without oedema (all p > 0.2). Those with oedema had a greater time since the loss of ambulation (8.4 years versus 3.5 years; p = 0.004), higher body mass index (28.3 versus 24.8; p = 0.014), and lower frequency of deflazacort use (67% versus 89%; p = 0.008). Multivariate analysis revealed a longer duration of loss of ambulation (p = 0.02) and higher body mass index (p = 0.009) as predictors of oedema. Lower extremity oedema is common in Duchenne muscular dystrophy but independent of cardiac function. Interventions focused on minimising body mass index increases over time may be a therapeutic target.
The importance of food systems in a climate crisis for peace and security in the Sahel
Authors: Läderach Peter , Ramirez-Villegas Julian , Prager Steven D. , Osorio Diego , Krendelsberger Alexandra , Zougmoré Robert B. , Charbonneau Bruno , van Dijk Han , Madurga-Lopez Ignacio , Pacillo Grazia 
Published: May 2022

AbstractConflicts are increasingly analysed as exhibiting a stealth complexity in which triggers and consequences are intricately linked to climate, environmental degradation and the struggle to control a finite pool of natural resources. The climate crisis is a multifaceted reality and, against this background, many pressing priorities compete with each other. The disruptive effect of climate variability and change on food systems is particularly acute and constitutes a direct and tangible threat to livelihoods globally. The objective of this paper is to demonstrate and discuss the importance of food systems under a climate crisis in exacerbating conflicts in the Sahelian region and propose interventions beyond and complementary to the usual military and security solutions. We demonstrate for the Sahel that (i) climate hazards are frequent and exposure to climate variability is high, (ii) hotspots of high climate variability and conflict exist, and (iii) impact pathways by which climate exacerbates food systems that can lead to conflicts are documented in the literature. While these three findings suggest clear links between conflict and climate, we find that (iv) current peace indices do not include climate and food systems indicators and therefore provide an uncomplete picture, and (v) food systems programming for climate adaptation has so far not explicitly considered peace and security outcomes. Furthermore, we propose that food systems programming that truly tackles the climate crisis should take more explicit account of peace and security outcomes in conflict-affected areas.
Doppler Waveform Analysis of Intertwin Venous Blood Flow in Twin Reversed Arterial Perfusion (TRAP) Sequence with a Rudimentary Heart
Authors: Konno Hiroko , Murakoshi Takeshi 
Published: May 2022

AbstractTwin reversed arterial perfusion (TRAP) sequence is a rare anomaly in 1% of monochorionic twin pregnancies. Few TRAP sequence cases have a rudimentary heart with cardiac motion in the acardiac twins. Herein, we investigated the venous Doppler waveform in two cases of TRAP sequence with a rudimentary heart with cardiac motion in the acardiac twin. Although both cases had veno-venous anastomoses, the venous Doppler waveforms of the umbilical vein differed. A comparison of the characteristics of the cases indicated that the existence of a ductus venosus, or greater heart pulse power, in the acardiac twin might impact the venous Doppler waveform in the pump twin.
Interference of junglerice (Echinochloa colona) in mung bean
Authors: Mahajan Gulshan , Chauhan Bhagirath Singh 
Published: May 2022

AbstractJunglerice [Echinochloa colona (L.) Link] is increasing its prevalence in eastern Australia by adapting to Australia’s changing climatic conditions and conservation agricultural systems and by evolving resistance to glyphosate. Information is limited on the growth and seed production dynamics of E. colona when it interferes with mung bean [Vigna radiata (L). R. Wilczek], a major potential export crop for eastern Australia. This field study examined the interference of E. colona in mung bean for two summer seasons (2020 and 2021) at Gatton, QLD. Different infestation levels (0, 2, 4, 8, 16, and 32 plants m−2) of E. colona were assessed for their potential to cause yield reductions in mung bean. Seed yield of mung bean was highest in the weed-free plots (2,767 kg ha−1) and declined by 20%, 27%, 34%, and 43% at weed infestation levels of 4, 8, 16, and 32 plants m−2, respectively. Echinochloa colona biomass in mung bean varied from 11 to 137 g m−2 as weed density increased from 2 to 32 plants m−2. Based on a three-parameter hyperbolic rectangular decay model, crop yield loss was 52% and 57%, respectively, when weed density and weed biomass approached maximum. Echinochloa colona at the highest density (32 plants m−2) produced a maximum of 15,140 seeds m−2, and this seed production was reduced by 50% at a weed density of 10 plants m−2. Echinochloa colona plants retained 63% to 68% seeds at mung bean maturity, indicating a great opportunity for harvest weed seed control. This study suggests that a high infestation of E. colona in mung bean fields could cause a substantial yield loss and increase the weed seedbank.