bluuebunny/crossref_metadata_2025_split huggingface dataset:
What Makes a Good Judge? Perspectives from Indonesia
Authors: Butt Simon 
Published: October 2021

AbstractIn May 2018, Artidjo Alkostar retired from the Supreme Court of Indonesia after a judicial career spanning almost two decades. Over this period, he presided over many of Indonesia’s most prominent and controversial criminal cases and became renowned for routinely rejecting corruption appeals and increasing prison sentences. In the celebratory publications that marked his retirement, Alkostar was held up as a model judge, with senior legal figures, including Supreme Court judges, singling out his strong work ethic, integrity, simplicity of character, and firmness. Curiously absent from the list of praiseworthy attributes were pre-requisites for effective judging, including adequate legal knowledge, transparent legal reasoning and decision-making, objectivity and avoiding the perception of bias. An analysis of Alkostar’s most notorious decisions suggests that he, and the judges who served with him, did not always clearly display these pre-requisites. This article considers what this says about judging in Indonesia and what might, in practice, be the defining characteristics of a good judge there.
A Quantitative Analysis of Legislation with Harsher Punishment in Japan
Authors: Kyo Shunsuke 
Published: October 2021

AbstractThe purpose of this study is to show how the Japanese government has created laws with harsher punishment since the 1990s. While a tendency toward harsher punishment is common in advanced Western countries, a similar tendency in Japan has prompted scholarly discussion on whether it can be understood through the “penal-populism” framework. However, it lacks in systematic evidence. This study presents three findings that differ from previous studies through a quantitative analysis of legislation with harsher punishment. First, while previous literature argues that the legislation increased in the latter half of the 1990s, this study shows that it peaked in the middle of the 2000s. Second, while previous literature argues that the bureaucrats of the Ministry of Justice promote the legislation, this study shows that it is caused by every ministry’s drafting Bills. Third, this study shows that it does not quantitatively avoid partisan conflicts, contrary to the prediction of the “penal-populism” theory.
Instrumental support exchanges among kin and non-kin in light of personal configurations
Authors: Aeby Gaëlle , Gauthier Jacques-Antoine 
Published: October 2021

AbstractAs exchanges of instrumental support between kin and non-kin remain essential to buffer the impact of critical life events, we consider the characteristics of personal configurations that may enhance or hinder them. Personal configurations vary in terms of their composition and two aspects of their structure: density and centrality. These dimensions are investigated to uncover whether they influence the type of instrumental support being exchanged (financial, material, and care) and the likelihood of their being reciprocal. Drawing on a representative sample of individuals living in Switzerland, results show that overall instrumental support is present in all personal configurations irrespective of their composition, but financial support is more prevalent in configurations based on parent–adult child relationships. Furthermore, configuration structures characterized by density of emotional support are positively associated with giving care support and with reciprocity, while those characterized by density of conflict are associated with giving less instrumental support overall.
Drones, Afghanistan, and beyond: Towards analysis and assessment in context
Authors: Page James Michael , Williams John 
Published: October 2021

AbstractAfghanistan is one of the most drone-affected states, however, very few scholarly studies of drone use there exist. This article uses original fieldwork data in a strategically important area of Afghanistan, eastern Nangarhar province, to analyse drone effects in context. It raises important concerns about the ability of the US to attain stated counterterrorism and counterinsurgency goals. Our results show contextualised analysis of drone use necessitates appropriate enquiry into policy, doctrine, and local circumstances. It also reveals serious incoherence, inaccurate assumptions, and insufficient appreciation of local circumstances and dynamics not only in US policy and doctrine, but also numerous scholarly studies of drone use effectiveness. This has far-reaching policy, operational, and research implications, including regarding local communities’ governance, relations, and resilience to insurgent and terrorist encroachment. Therefore, we contribute to debates about how to analyse and assess drone use and its effects, why drone analysis needs to change, and what more effective forms of research and analysis can reveal.
2-kW-level superfluorescent fiber source with flexible wavelength and linewidth tunable characteristics
Authors: Ye Jun , Fan Chenchen , Xu Jiangming , Xiao Hu , Leng Jinyong , Zhou Pu 
Published: October 2021

AbstractThe superfluorescent fiber source (SFS) with tunable optical spectrum has shown great application potential in the sensing, imaging, and spectral combination. Here, we demonstrate for the first time a 2-kW-level wavelength and linewidth tunable SFS. Based on a flexible filtered SFS seed and three stages of fiber amplifiers, the output power can be scaled from the milliwatt level to about 2 kW, with a wavelength tuning range of 1068–1092 nm and a linewidth tuning range of 2.5–9.7 nm. Moreover, a numerical simulation is conducted based on the generalized nonlinear Schrödinger equation, and the results reveal that the wavelength tuning range is limited by the decrease of seed power and the growth of amplified spontaneous emission, whereas the linewidth tuning range is determined by the gain competition and nonlinear Kerr effects. The developed wavelength and linewidth tunable SFS may be applied to scientific research and industrial processing.
Low-order modelling of the wake dynamics of an Ahmed body
Authors: Podvin Bérengère , Pellerin Stéphanie , Fraigneau Yann , Bonnavion Guillaume , Cadot Olivier 
Published: October 2021

We investigate the large-scale signature of the random switches between two mirrored turbulent wake states of flat-backed bodies. A direct numerical simulation (DNS) of the flow around an Ahmed body at a Reynolds number ($Re$) of 10 000 is considered. Using proper orthogonal decomposition (POD), we identify the most energetic modes of the velocity field and build a low-dimensional model based on the first six fluctuating velocity modes capturing the characteristics of the flow dynamics during and between switches. In the absence of noise, the model produces random switches with characteristic time scales in agreement with the simulation and experiments. This chaotic model suggests that random switches are triggered by the increase of the vortex shedding activity. However, the addition of noise results in a better agreement in the temporal spectra of the coefficients between the model and the simulation.
Association of adherence to the Australian Dietary Guidelines with cognitive performance and cognitive decline in the Sydney Memory and Ageing Study: a longitudinal analysis
Authors: Chen Xi , Liu Zhixin , Sachdev Perminder S. , Kochan Nicole A. , Brodaty Henry , O'Leary Fiona 
Published: October 2021

Abstract
This study investigated associations of adherence to the Australian Dietary Guidelines (ADG) with cognitive performance and cognitive decline over 6 years. We used longitudinal data from the Sydney Memory and Aging Study comprising 1037 community-dwelling non-demented participants aged 70–90 years. Dietary intake was assessed at baseline using the Dietary Questionnaire for Epidemiological Studies Version 2. Adherence to the ADG was scored using the Dietary Guideline Index 2013 (DGI-2013). Cognition was assessed using neuropsychological tests in six cognitive domains and global cognition at baseline and 2, 4 and 6 years later. Linear mixed models analysed the association between adherence to the ADG and cognitive function and cognitive decline over 6 years. Results indicated that overall adherence to the ADG was suboptimal (DGI-2013 mean score 43⋅8 with a standard deviation of 10⋅1; median score 44, range 12–73 with an interquartile range of 7). The percent of participants attaining recommended serves for the five food groups were 30⋅2 % for fruits, 11⋅2 % for vegetables, 54⋅6 % for cereals, 28⋅9 % for meat and alternatives and 2⋅1 % for dairy consumption. Adherence to the ADG was not associated with overall global cognition over 6 years (β = 0⋅000; 95 % CI: −0⋅007, 0⋅007; P = 0⋅95). Neither were DGI-2013 scores associated with change in global cognitive performance over 6 years (β = 0⋅002; 95 % CI: −0⋅002, 0⋅005; P = 0⋅41) nor in any individual cognitive domains. In conclusion, adherence to the ADG was not associated with cognitive health over time in this longitudinal analysis of older Australians. Future research is needed to provide evidence to support specific dietary guidelines for neurocognitive health among Australian older adults.
Patents, healthcare and engaged shareholders: a pathway to encourage socially responsible patent use?
Authors: McMahon Aisling , Richardson Edana 
Published: October 2021

AbstractThis paper focuses on the drivers steering companies’ behaviour over uses of patented health technologies, taking Covid-19 as a case study. Global equitable access to health technologies is vital to bringing the pandemic under control. Reflecting this, global mechanisms for rightsholders to share intellectual property rights, data and know-how over such health technologies have been developed. Yet, to date, there is limited support from corporate rightsholders for such mechanisms. Instead, health technologies have been licensed largely based on bilateral deals, with vast global inequalities emerging. Given the traditional focus within company law on prioritising shareholders' short-term financial value, we argue that it is unsurprising that many corporate rightsholders adopt a protectionist approach to patents, even in the face of health crises. However, we argue that the tide may now be starting to shift, catalysed by an emergence of engaged shareholders petitioning for socially responsible corporate behaviour, including for uses of intellectual property over health technologies in a manner that more clearly aligns with public interests. If harnessed and encouraged, such engaged shareholder behaviour could present an opportunity to reframe the conception of shareholder value towards one that considers a long-term sustainable approach and ultimately to shift corporate behaviour around uses of intellectual property over health technologies to take public interests into account.
DO L1-L2 DIFFERENCES IN DISCOURSE PROCESSING REFLECT PROCESSING DEMANDS OR DIFFICULTY OF FORM-FUNCTION MAPPING?
Authors: Lee Eun-Kyung , Fraundorf Scott 
Published: October 2021

AbstractWe examined what causes L1-L2 differences in sensitivity to prominence cues in discourse processing. Participants listened to recorded stories in segment-by-segment fashion at their own pace. Each story established a pair of contrasting items, and one item from the pair was rementioned and manipulated to carry either a contrastive or presentational pitch accent. By directly comparing the current self-paced listening data to previously obtained experimenter-paced listening data, we tested whether reducing online-processing demands allows L2 learners to show a nativelike behavior, such that contrastive pitch accents facilitate later ruling out the salient alternative. However, reduced time pressure failed to lead even higher proficiency L1-Korean learners of English to reach a nativelike level, suggesting that L2 learners’ nonnativelike processing and representation of the prominence cue in spoken discourse processing can be due to the inherent difficulty of fully learning a complex form-function mapping rather than to online-processing demands.
Analysis of outcomes in patients with abnormal laterality undergoing congenital heart surgery
Authors: Basgoze Serdar , Temur Bahar , Guvenc Osman , Aydin Selim , Guzelmeric Fusun , Onalan Mehmet A. , Erek Ersin 
Published: October 2021

AbstractObjective:Laterality anomalies are almost always associated with severe cardiac anomalies. Demographic properties, type of the procedures, associated anomalies, and early and mid-term prognosis of four types of laterality anomalies were analysed.Methods:A total of 64 consecutive patients with laterality anomalies were enrolled between July 2014 and July 2020. We grouped the patients as situs solitus dextrocardia (SSD) (n = 12; 18.7%); situs inversus (SI) (n = 16; 25%); right atrial isomerism (RAI) (n = 29; 45.3%); and left atrial isomerism (LAI) (n = 7; 10.9%). TAPVC was only present in the RAI group (31%). Incidence of mitral or tricuspid atresia was higher in the SSD group (25%). All the patients were followed up with a mean of 19.06 ± 17.6 (0.1–72) months.Results:Early postoperative mortality was 17 patients, among 107 procedures (15.8%). Twelve patients were in the neonatal period. All ten patients survived after isolated ductal stenting. Fourteen of the deaths were in the RAI group (48.3%). The 3-year survival rates were 85% in LAI, 78.7% in SI, 55.8% in SSD, and 38% in RAI groups. According to the multivariable Cox regression model, mechanical ventilation, kidney injury, RAI, and complex surgery in the neonatal period were independent risk factors for early mortality.Conclusion:Laterality anomalies are one of the most challenging patients who commonly had univentricular physiology. The most prevalent anomaly was RAI, and RAI had the worst outcome and survival. Ductal stent is an acceptable first intervention during the neonatal period in suitable patients. Complex procedures may carry a high risk of death in the neonatal period.
Pharmacologic predictors of benzodiazepine response trajectory in anxiety disorders: a Bayesian hierarchical modeling meta-analysis
Authors: Stimpfl Julia N. , Mills Jeffrey A. , Strawn Jeffrey R. 
Published: October 2021

AbstractBackgroundDespite frequent benzodiazepine use in anxiety disorders, the trajectory and magnitude of benzodiazepine response and the effects of benzodiazepine potency, lipophilicity, and dose on improvement are unknown.MethodsWe performed a meta-analysis using weekly symptom severity data from randomized, parallel group, placebo-controlled trials of benzodiazepines in adults with anxiety disorders. Response was modeled for the standardized change in continuous measures of anxiety using a Bayesian hierarchical model. Change in anxiety was evaluated as a function of medication, disorder, time, potency, lipophilicity, and standardized dose and compared among benzodiazepines.ResultsData from 65 trials (73 arms, 7 medications, 7110 patients) were included. In the logarithmic model of response, treatment effects emerged within 1 week of beginning treatment (standardized benzodiazepine-placebo difference = −0.235 ± 0.024, CrI: −0.283 to −0.186, P < .001) and placebo response plateaued at week 4. Doses <6 mg per day (lorazepam equivalents) produced faster and larger improvement than higher doses (P = .039 for low vs medium dose and P = .005 for high vs medium dose) and less lipophilic benzodiazepines (beta = 0.028 ± 0.013, P = .030) produced a greater response over time. Relative to the reference benzodiazepine (lorazepam), clonazepam (beta = −0.217 ± 0.95, P = .021) had a greater trajectory/magnitude of response (other specific benzodiazepines did not statistically differ from lorazepam).ConclusionsIn adults with anxiety disorders, benzodiazepine-related improvement emerges early, and the trajectory and magnitude of improvement is related to dose and lipophilicity. Lower doses and less lipophilic benzodiazepines produce greater improvement.
Perceived neighbourhood food access is associated with consumption of animal-flesh food, fruits and vegetables among mothers and young children in peri-urban Cambodia
Authors: Duong Minh-Cam , Nguyen-Viet Hung , Grace Delia , Ty Chhay , Sokchea Huy , Sina Vor , Young Melissa F 
Published: October 2021

AbstractObjective:To examine whether mothers’ perceived neighbourhood food access is associated with their own and their young children’s consumption of animal-flesh food, fruits and vegetables in peri-urban areas of Cambodia.Design:A cross-sectional survey measured food consumption frequency and perceived neighbourhood food access, the latter including six dimensions of food availability, affordability, convenience, quality, safety and desirability. Multivariate logistic regression was used to assess the association between perceived food access and food consumption.Setting:Peri-urban districts of Phnom Penh and Siem Reap, CambodiaParticipants:198 mothers of children between 6 and 24 months old.Results:Over 25 % of the mothers and 40 % of the children had low consumption (< once a day) of either animal-flesh food or fruits and vegetables. Compared with perceived high food access, perceived low food access was associated with an adjusted 5·6-fold and 4·3-fold greater odds of low animal-flesh food consumption among mothers (95 % CI 2·54, 12·46) and children (95 % CI 2·20, 8·60), respectively. Similarly, relative to perceived high food access, perceived low food access was associated with 7·6-times and 5·1-times higher adjusted odds of low fruits and vegetables consumption among mothers (95 % CI 3·22, 18·02) and children (95 % CI 2·69, 9·83), respectively.Conclusions:Mothers’ perceived neighbourhood food access was an important predictor of their own and their young children’s nutrient-rich food consumption in peri-urban Cambodia. Future work is needed to confirm our findings in other urban settings and examine the role of neighbourhood food environment in the consumption of both nutrient-rich and nutrient-poor food.
Improving the Quantification of Deuterium in Zirconium Alloy Atom Probe Tomography Data Using Existing Analysis Methods
Authors: Jones Megan E , London Andrew J , Breen Andrew J , Styman Paul D , Sikotra Shyam , Moody Michael P , Haley Daniel 
Published: October 2021

Abstract
Zirconium alloys are common fuel claddings in nuclear fission reactors and are susceptible to the effects of hydrogen embrittlement. There is a need to be able to detect and image hydrogen at the atomic scale to gain the experimental evidence necessary to fully understand hydrogen embrittlement. Through the use of deuterium tracers, atom probe tomography (APT) is able to detect and spatially locate hydrogen at the atomic scale. Previous works have highlighted issues with quantifying deuterium concentrations using APT due to complex peak overlaps in the mass-to-charge-state ratio spectrum between molecular hydrogen and deuterium (H2 and D). In this work, we use new methods to analyze historic and simulated atom probe data, by applying currently available data analysis tools, to optimize solving peak overlaps to improve the quantification of deuterium. This method has been applied to literature data to quantify the deuterium concentrations in a concentration line profile across an α-Zr/deuteride interface.
Appraisal of the conversion possibilities of pastoral meat sheep systems to the organic production model
Authors: Ruiz Francisco de Asís , Grande Daniel , Nahed José , Castel José María , Mena Yolanda 
Published: October 2021

AbstractIn the Mediterranean Basin, sheep meat production systems are based on grazing, and help to conserve biodiversity, mitigate the greenhouse gases emissions and maintain the population in rural areas. However, the lack of differentiation of pastoral systems, as opposed to the intensive model, puts its continuity at risk. In this sense, organic farming can be an alternative to sustain extensive sheep-cereal production systems in marginal Mediterranean drylands. The aim of this research was to evaluate the conversion possibilities of pastoral meat sheep production systems to the organic production model in the Mediterranean Basin, working with the autochthonous Segureña breed sheep. 46 farms were studied, classified into four clusters by mean of multivariate analysis. In order to determine the degree to which farms approached the organic model, 60 variables, grouped into nine indicators were analyzed to obtain an Organic Conversion Index (OCI). The Nutritional management indicator has a high value of approaching the organic model, as well as Animal welfare and Food safety. Marketing and business management, Breeds and reproduction, Weed and pest control and Sustainable pasture management indicators also reach a good approximation level. Only the Breeds and reproduction indicator presented values with significant differences between clusters. The average value of the OCI for the 46 farms ranges from 63 to 70%, and therefore it can be concluded that extensive meat sheep herds in the region are close to this production model. Among the recommendations that can be made to improve the conversion possibilities to the organic model are: (i) to increase own fodder production or find a way to obtain it easily and economically; (ii) to complete the plant−soil−animal cycle, (iii) to seek greater marketing autonomy and (iv) to achieve closer contact with the final consumer. At the same time, government policy both in Spain and other parts of Europe should persevere to find more ways to support the progress of this type of production, in an effort to address limitations and overcome the lack of alternative markets.
Linear electromagnetic inverse scattering via generative adversarial networks
Authors: Zhou Huilin , Zheng Huimin , Liu Qiegen , Liu Jian , Wang Yuhao 
Published: October 2021

AbstractElectromagnetic inverse-scattering problems (ISPs) are concerned with determining the properties of an unknown object using measured scattered fields. ISPs are often highly nonlinear, causing the problem to be very difficult to address. In addition, the reconstruction images of different optimization methods are distorted which leads to inaccurate reconstruction results. To alleviate these issues, we propose a new linear model solution of generative adversarial network-based (LM-GAN) inspired by generative adversarial networks (GAN). Two sub-networks are trained alternately in the adversarial framework. A linear deep iterative network as a generative network captures the spatial distribution of the data, and a discriminative network estimates the probability of a sample from the training data. Numerical results validate that LM-GAN has admirable fidelity and accuracy when reconstructing complex scatterers.