bluuebunny/crossref_metadata_2025_split huggingface dataset:
Police compliance with the social contract as an antecedent of police legitimacy, of satisfaction with the police, and of willingness to obey: findings from a two-stage vignette experiment
Authors: Jonathan-Zamir Tal , Perry Gali , Kaplan-Damary Naomi , Weisburd David 
Published: May 2024

Abstract
Objectives
Test the effects of police compliance with the restrictions on their authority embedded in Social Contract Theory (SCT) on police legitimacy, satisfaction with the police, and willingness to obey police officers.

Methods
A two-stage vignette experiment. In the first, 1356 participants were randomly assigned to one of four study conditions: control, procedural justice (PJ), police performance (PP), and compliance with the social contract (SC). In the follow-up stage, 660 participants were randomly assigned to either a control or proportionality/least restrictive alternative (PL) condition.

Results
Compared to the control condition, the SC manipulation improved evaluations of all three dependent variables. For legitimacy, its effect was no different than that of PJ and PP. For satisfaction, it was similar to that of PP and stronger than the effect of PJ. For willingness to obey, it was no different than the effect of PJ, but stronger than that of PP. The second stage of the experiment revealed that compared to the control condition, the two unique components of the SC model (PL) significantly improved the scores of all three DVs.

Conclusions
Police adherence to the SC, and particularly to its two unique components, is an important determinant of police legitimacy and other outcomes, and should thus be acknowledged by researchers and practitioners. Future research is encouraged to disentangle the relative effects of the “building blocks” making up PJ, PP, and compliance with the SC.
A unique case of suicide by crossbow with indirect triggering and cranial injury: forensic issues and literature review
Authors: Stefano Tambuzzi , Guendalina Gentile , Riccardo Primavera , Riccardo Zoja 
Published: May 2024

AbstractCurrently, crossbows are involved in some deaths, including suicides. These are rare events for which an accurate study of the body discovery site and reconstruction of the triggering mechanism of the crossbow represent crucial medicolegal elements. In this report, a unique case of suicide by crossbow is presented, in which the male victim constructed an elaborate scenario. He arranged two tripod stands to hold the crossbow at the height of his head, and a third to support a hollow tube positioned in front of the muzzle of the crossbow to direct the bolt. After positioning the center of the forehead in front of the hollow tube, the trigger was activated from a distance using a hooked metal rod. The methods used prompted a literature review on suicide by crossbow, which revealed only 14 reports from 1993 to 2023. The head and chest were the main target areas, and in almost all cases, the victims directly pulled the trigger with their finger. Only one case of indirect triggering was found, with the chest as the target. Therefore, in this scenario, the case presented stands as a unique report, due to the elaborate system devised to carry out the suicide and accurately strike the predetermined target.
Expression of Dystrophin Dp71 Splice Variants Is Temporally Regulated During Rodent Brain Development
Authors: González-Reyes Mayram , Aragón Jorge , Sánchez-Trujillo Alejandra , Rodríguez-Martínez Griselda , Duarte Kevin , Eleftheriou Evangelia , Barnier Jean-Vianney , Naquin Delphine , Thermes Claude , Romo-Yáñez José , Roger Jérome E. , Rendon Alvaro , Vaillend Cyrille , Montanez Cecilia 
Published: May 2024

AbstractDystrophin Dp71 is the major product of the Duchenne muscular dystrophy (DMD) gene in the brain, and its loss in DMD patients and mouse models leads to cognitive impairments. Dp71 is expressed as a range of proteins generated by alternative splicing of exons 71 to 74 and 78, classified in the main Dp71d and Dp71f groups that contain specific C-terminal ends. However, it is unknown whether each isoform has a specific role in distinct cell types, brain regions, and/or stages of brain development. In the present study, we characterized the expression of Dp71 isoforms during fetal (E10.5, E15.5) and postnatal (P1, P7, P14, P21 and P60) mouse and rat brain development. We finely quantified the expression of several Dp71 transcripts by RT-PCR and cloning assays in samples from whole-brain and distinct brain structures. The following Dp71 transcripts were detected: Dp71d, Dp71d∆71, Dp71d∆74, Dp71d∆71,74, Dp71d∆71−74, Dp71f, Dp71f∆71, Dp71f∆74, Dp71f∆71,74, and Dp71fΔ71−74. We found that the Dp71f isoform is the main transcript expressed at E10.5 (> 80%), while its expression is then progressively reduced and replaced by the expression of isoforms of the Dp71d group from E15.5 to postnatal and adult ages. This major finding was confirmed by third-generation nanopore sequencing. In addition, we found that the level of expression of specific Dp71 isoforms varies as a function of postnatal stages and brain structure. Our results suggest that Dp71 isoforms have different and complementary roles during embryonic and postnatal brain development, likely taking part in a variety of maturation processes in distinct cell types.
Clinical management of iron deficiency anemia in Japan: iron prescription patterns, treatment effectiveness, and assessments
Authors: Kosugi Miyako , Takezawa Ryo , Shiota Shun , Tsuchikawa Masaru , Ikuta Katsuya 
Published: May 2024

AbstractIron deficiency anemia is one of the most common types of anemia, but real-world clinical management practices in Japan are unclear. This study retrospectively explored iron prescription patterns, treatment effectiveness, and assessments. Patients with at least one treatment period between September 2020 and September 2022 were included and classified into three groups (ferric carboxymaltose [FCM]: 7437 patients, saccharated ferric oxide [SFO]: 98,648 patients, and oral iron: 359,547 patients). Iron-related laboratory values over time and testing proportions were evaluated. Median baseline hemoglobin levels were lowest with FCM (FCM: 8.10 g/dL, SFO: 8.70 g/dL, oral iron: 9.70 g/dL), but changes in hemoglobin levels by 12 weeks were greatest with FCM (FCM: 3.20 g/dL, SFO: 2.60 g/dL, oral iron: 1.70 g/dL). The median serum ferritin level at 8 weeks after FCM treatment was 43.70 ng/mL for ≤500 mg, versus 123.30 ng/mL for >500 to ≤1500 mg. All groups had a low proportion of serum ferritin and transferrin saturation (TSAT) testing at diagnosis (<38%), which decreased further for post-treatment assessment (<24%). This study suggests the importance of prescribing an appropriate total iron cumulative dose per the package insert, along with diagnosis and assessments based on serum ferritin/TSAT.
Application of water quality index and statistical-hydrochemical techniques in groundwater assessment of the Quaternary aquifer, southwest Nile Delta of Egypt
Authors: Hussein Hend , El Maghraby Magdy M. M. S. , Abu Salem Hend S. 
Published: May 2024

AbstractThe objective of the current study is to investigate the hydrogeochemistry of the Quaternary groundwater and evaluating its suitability for drinking and irrigation needs using statistical analysis, water quality indicators and physicochemical parameters, in west of the Nile Delta, Egypt. The study area has high population growth and agricultural activities, which require groundwater protection, and predicting probable environmental problems. For these reasons, 54 groundwater samples were collected during April 2021. Hierarchical cluster analysis, Pearson, and factor analysis used for statistical analysis. Biplots, Gibbs and Piper diagrams were used to infer the geochemical processes controlling groundwater chemistry. The groundwater is affected by silicate weathering, reveres ion exchange, dissolution of CO2, and recharge from the Nile. According to the WQICCME drinking value, the groundwater ranged between fair to marginal water quality. The distribution of integrated-weight water quality index of the samples, showed that it is excellent for irrigation (< 25). The nine physicochemical parameters sodium percent (Na%), permeability index, sodium adsorption ratio, Kelley Index, residual sodium carbonate, magnesium hazard, Potential Salinity, Corrosive Ratio and Chloro-alkaline Indices revealed that most of the groundwater are of good quality and can be safely used for agricultural activities, albeit few samples due the west needs some treatment. It is recommended to minimize the fertilizers and nutrients use to decrease the anthropogenic impact on the groundwater. The reuse of irrigation water without treatment should be limited. As well, the pumping rates should be controlled to avoid aquifer salinization.
Academic literacy in enabling education programs in Australian universities: a shared pedagogy
Authors: Davis Charmaine , Lawson Kathryn , Duffy Lisa 
Published: May 2024

Abstract
Widening participation in higher education has led to the global expansion of universities, increased student and program diversity, and greater provision of flexible pathways into university. Critical to supporting a growing student body is helping all students develop their ability to communicate confidently and effectively in their academic communities. This research employs a collaborative benchmarking framework to explore academic literacy instruction in pathway or ‘enabling’ programs across nine Australian universities. While prevailing assumptions hold that such programs are overly diverse, the findings demonstrate that these programs have developed remarkably similar approaches; in particular, the investigation found that the programs all drew on established academic literacy models and reflected an emerging disciplinary coherence across the enabling education sector, despite the lack of a formal curriculum and standards framework.Kindly check and confirm the processed Article title is correct.This is correct
Abstracts Voorjaarsvergadering NVU, 31 mei 2024
Authors:   Bohn Stafleu van Loghum
Published: May 2024

SamenvattingHet bereiken van een steenvrije status is het doel van de percutane nefrolitholapaxie (PCNL), omdat resterend steenmateriaal na PCNL kan leiden tot additionele morbiditeit of steengroei. Met behulp van cone-beam computertomografie CBCT) in een hybride operatiekamer kunnen intraoperatieve dwarsdoorsnede- en driedimensionale beelden van de urinewegen worden vervaardigd, wat de intraoperatieve beoordeling van de steenvrije status verbetert en additionele steenextractie mogelijk maakt.
A techno-economic review of direct air capture of moisture processes: sustainable versus energy-intensive methods
Authors: Webber M. , Aliyu A. , Jin S.-H. , Sadiq M. M. , Sohani B. , Elseragy A. 
Published: May 2024

AbstractOne of the biggest challenges that the world faces today is the availability of fresh and potable water in arid, semi-arid, and deprived regions. This is a challenge that concerns not only economic development but also social development spanning several UN SDGs. This article presents a detailed critical and systematic review of the technologies for producing industrial and potable water. Emphasis is made on direct air capture (DAC) methods as the next frontier in sustainable water production against the backdrop of traditional energy intensive methods such as desalination. Comparisons using a variety of techno-economic, scale, geographic, and environmental metrics are carried out. While market reports suggest that investments and market value of DAC technologies will continuously rise, these data only extend the next 5–10 years. However, using this data, a projection was made by the authors on various scenarios leading to 2050. At 2030, best projections fall short of UN SDG 6 predictions for a four-fold increase (from 2020 levels) required to sustain populations. The review notes that DAC has the potential to be an attractive solution for the current water crisis (in some cases drought) experienced in various regions on earth. The report finds that while several moisture DAC technologies (e.g., fog and dew water harvesting) are currently being developed, they are only being implemented on small scales around the world—with huge implications for arid and deprived regions of the world.
Investigating the Nexus Between GHG Emissions and AFOLU Activities: New Insights from C-Vine Copula Approach
Authors: Pakrooh Parisa , Kamal Muhamad Abdul , Magazzino Cosimo 
Published: May 2024

AbstractThe greenhouse gas (GHG) emissions from agriculture, forestry, and other land use (AFOLU) account for more than 10% of the total GHG emissions in Iran. To reduce the environmental impact, assessments of Iran’s GHG emissions status are critical for identifying the national policies to achieve Sustainable Development Goals (SDGs) in the bio-based industry. However, there is no study exploring the dependency between AFOLU and GHG emissions in Iran by using the Vine Copula approach. Hence, the study aims to examine the causality direction and correlation structure among selected horticulture, farming crops, livestock, and poultry products and carbon dioxide (CO2), nitrogen dioxide (N2O), and methane emissions (CH4) in the Iranian agriculture sector over the period 1961–2019, to determine which crops or products are more responsible to deteriorate the environment. The empirical strategy used a C-Vine Copula model to measure the correlations together with the Granger causality (GC) test to analyze the causality links. According to the empirical findings, several crops and products are the sources of emissions. Rice and vegetable cultivations, as well as meat and milk products (Kendall’s τ values of 0.37, 0.33, 0.31, and 0.31, respectively), are the leading sources of CH4 emissions. Legumes, eggs, maize, rice, and milk enhance N2O emissions, while CO2 emissions are caused by apple, potato, and apricot crops (Kendall’s τ values of 0.22, 0.18, and 0.16, respectively). Finally, based on the findings, policy implications are offered.
Threshold investigation of shell thickness for enhanced mechanical and tribological performance in 3D-printed curved sandwich structures
Authors: Dobos József , Hanon Muammel M. , Keresztes Róbert Zsolt , Oldal István 
Published: May 2024

AbstractGlobal prominence has been attained by additive manufacturing technology in recent years, driven by its environmental benefits and machining advantages when compared to traditional subtractive methods. Fused deposition modeling (FDM) technology, primarily utilized in polymer and polymer composite 3D printing, allows for precise control of material distribution within components. In this study, mechanical and tribological behaviors of 3D-printed structures are investigated, yielding valuable insights applicable to practical scenarios. The study identifies threshold limits for layer thickness ratios in three-layered curved sandwich structures, which directly impact their specific load capacity. Stress distribution within 3D-printed PLA discs can be accurately predicted by a saturation function dependent on shell thickness, with material-specific constants. Beyond a critical shell thickness, the impact of increased shell thickness on local tribological properties is found to be negligible. These findings generalize effectively to structures characterized by robust outer shells and weaker inner infills. Connections are drawn between tribological behavior and contact mechanical properties, opening avenues for future research involving nonlinear material modeling and advanced simulations. This study contributes to a deeper understanding of 3D printing and polymer tribology while highlighting the transformative potential of additive manufacturing in various industries, offering cost-effective and resource-efficient solutions for optimized mechanical performance.
Constructive Refoulement as Disguised Voluntary Return: The Internalised Externalisation of Migrants
Authors: Negishi Yota 
Published: May 2024

AbstractThis paper purports to extend the concept of constructive refoulement in the context of externalised migration policies. This concept has been recognised in jurisprudence at the domestic, regional and international levels, and has developed through State practice as well as the practice of regional and international organisations. In the externalisation of migration policies, constructive refoulement becomes evident in both visible and invisible prisons: the United States-Mexico partnership in the Southern Border Programme creates a situation where asylum seekers eventually abandon the hope of continuing their asylum procedures and reluctantly return to other places. The Australian offshore asylum processing system, which has been remodelled by the UK, adopts the kyriarchical system where asylum seekers themselves control their self-return to their country of origin as a result of a combined situation of severe discipline and hatred between officials and inmates as well as between the inmates themselves. Meanwhile, the EU’s Reception Conditions Directive scheme incorporates migrants in a planned destitution scenario where they are forced to choose to leave Europe due to poor socio-economic conditions. The Japanese combination of karihomen and kanrisochi also creates a planned destitute environment which compels asylum seekers themselves to seek their return by depriving them of their basic needs. Such governmentality of internalising externalisation by the Global North must be critically assessed in terms of the developing concept of constructive refoulement implied under international refugee and human rights law.
Mapping the terrain of hate: identifying and analyzing online communities and political parties engaged in hate speech against Muslims and LGBTQ+ communities
Authors: Unlu Ali , Truong Sophie , Kotonen Tommi 
Published: May 2024

AbstractThis study investigates the impact of X on political discourse and hate speech in Finland, focusing on Muslim and LGBTQ+ communities from 2018 to 2023. During this period, these groups have experienced increased hate speech and a concerning surge in hate crimes. Utilizing network analysis methods, we identified online communities and examined the interactions between Finnish MPs and these communities. Our investigation centered on uncovering the emergence of networks propagating hate speech, assessing the involvement of political figures, and exploring the formation dynamics of digital communities. Employing agenda-setting theory and methodologies including text classification, topic modeling, network analysis, and correspondence analysis, the research uncovers varied communication patterns in retweet and mention networks. Retweet networks tend to be more fragmented and smaller, with participation primarily from far-right Finns Party MPs, whereas mention networks exhibit wider political representation, including members from all parties. Findings highlight the Finns Party MPs' significant role in fostering divisive, emotionally charged communications within politically segregated retweet communities, contrasting with their broader engagement in mention networks. The study underscores the necessity for cross-party efforts to combat hate speech, promote inclusive dialogue, and mitigate political polarization.
Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection
Authors: Nakanishi Keiichi , Shiroma Ryo , Hayakawa Tokihisa , Katafuchi Ryoya , Tokunaga Terumasa 
Published: May 2024

AbstractThe external attention mechanism offers a promising approach to enhance image anomaly detection (Hayakawa et al., in: IMPROVE, pp. 100-–110, 2023). Nevertheless, the effectiveness of this method is contingent upon the judicious selection of an intermediate layer with external attention. In this study, we performed a comprehensive series of experiments to clarify the mechanisms through which external attention improves detection performance. We assessed the performance of the LEA-Net (Hayakawa et al., in: IMPROVE, pp. 100–110, 2023), which implements layer-wise external attention, using MVTec AD and Plant Village datasets. The detection performances of the LEA-Net were compared with that of the baseline model under different anomaly maps generated by three unsupervised approaches. In addition, we investigated the relationship between the detection performance of LEA-Net and the selection of an attention point, which means an intermediate layer where external attention is applied. The findings reveal that the synergy between the dataset and the generated anomaly map influenced the effectiveness of the LEA-Net. For poorly localized anomaly maps, the selection of the attention point becomes a pivotal factor in determining detection efficiency. At shallow attention points, a well-localized attention map successfully notably improves the detection performance. For deeper attention points, the overall intensity of the attention map is essential; this intensity can be substantially amplified by layer-wise external attention, even for a low-intensity anomaly map. Overall, the results suggest that for layer-wise external attention, the positional attributes of anomalies hold greater significance than the overall intensity or visual appearance of the anomaly map.
Artificial neural network modelling of natural gas dehydration process
Authors: Goh Brandon Z. H. , Elyas Rafil , Hamid Anuar , Foo Dominic C. Y. 
Published: May 2024

AbstractA multi-input–multi-output artificial neuron network (MIMO-ANN) model has been developed for process monitoring and improvement on a natural gas glycol dehydration process. The MIMO-ANN model was based on a steady-state process simulation model constructed in commercial software Aspen HYSYS. A set of training data was generated with the converged simulation model for the training of the MIMO-ANN model in Python. The process input of the model includes lean glycol recirculation rate and purity along with wet gas inlet pressure. On the other hand, the process output considered includes dehydrated gas water and aromatics content, dehydrated gas hydrate formation temperature and water dew point, stripping gas flow rate as well as reboiler duty. The overall mean squared error (MSE) of the MIMO-ANN model was calculated as 1.79. The best-fit line that highly overlaps with a 45° diagonal line is constructed with a correlation coefficient (R2) score of more than 0.999 for all studied process output testing datasets. The mean absolute percentage error (MAPE) of the predicted outputs is generally less than 1%, except for dehydrated gas water dew point (16.63%) and stripping gas flow rate (11.55%), due to error predictions attempted on pseudo-zero values. This successfully displays an exceptional predictive performance of the MIMO-ANN model developed in this work which can be further deployed as an online dashboard for real-time monitoring tool.