bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting anomalies in currency market of BRICS countries: insights into emerging economies
Authors: Gadhavi Mahipal Yasuman 
Published: October 2024

PurposeThe primary motive of the research paper is to investigate the efficiency of currency market of emerging economies (BRICS countries), by analyzing the presence and consistency of calendar anomalies – specifically the day-of-the-week (DOW) effect, the January effect and the Turn-of-the-month (TOM) effect. Daily data of around 23 years and 4 months were examined for the purpose of study. Segmented data of 8-year intervals were also analyzed to observe the changes in the pattern over a period. The findings are intended to offer insights into market behaviors and potential trading strategies for astute traders.Design/methodology/approachThe study employed a quantitative research design utilizing ordinary least squares regression with dummy variables and Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) (1,1) model. To study the calendar anomalies, the daily closing price of five currency pairs has been taken from Bloomberg’s software. The Kruskal–Wallis test was conducted to validate and check the robustness of analysis.FindingsThere are mixed results regarding calendar anomalies in the BRICS currency markets. Analysis of aggregate data revealed that DOW effect is present in all the currencies except USDZAR, with Monday showing positive return. The segmented analysis showed the presence of DOW effect in USDCNY and USDINR, while other currencies lacked consistent patterns. The January effect was evident for Indian Rupees and Chinese Yuan but not for other currencies. TOM effect was present only in Chinese Yuan. Overall, the Indian Rupee and Chinese Yuan displayed inefficiencies, indicating potential for trading strategies, while other currencies appeared efficient and lacked consistent patterns.Originality/valueThe literature on currency pricing anomalies is sparse, particularly in the context of developing and underdeveloped economies. While some research exists on anomalies within the currencies of developed nations, there is a significant gap in studies focusing on emerging economies. This paper seeks to address this deficiency by investigating the presence of calendar anomalies in the currencies of BRICS countries, providing new insights into the behaviors of these emerging economies.
Full‐tensor magnetic gradiometry: Comparison with scalar total magnetic intensity, processing and visualization guidelines
Authors: Ugalde Hernan , Morris Bill , Kamath Akshay , Parsons Brian 
Published: October 2024

AbstractFull‐tensor magnetic gradiometry data have been collected commercially for the last few years. However, to date, there is still no clarity on how to compare these data to scalar total field surveys. Some users display the vertical gradient of the vertical component (Bzz) and compare that to a first vertical derivative of total field with the caveat that ‘they are similar’. Others compute the length of the measured vector and call that total field. We establish the basic formulas to calculate total field from the tensor components and demonstrate this with a real data example from Thompson, Manitoba, Canada. Another key question is whether full‐tensor interpolation is required to obtain total field from tensor data. We compare the results from using a commercial full‐tensor interpolation algorithm with standard minimum curvature of the tensor components individually and with another open‐source code that uses a radial basis function interpolator on the individual tensor components. All three applications produced a total field grid of superior quality to that calculated from a scalar total field survey available for the area of study.
Steering via algorithmic recommendations
Authors: Chen Nan , Tsai Hsin‐Tien 
Published: October 2024

AbstractThis article studies self‐preferencing in algorithmic recommendations on dominant platforms, focusing on Amazon's dual role as platform owner and retailer. We find that products sold by Amazon receive substantially more “Frequently Bought Together” recommendations across popularity deciles. To establish causality, we exploit within‐product variation generated by Amazon stockouts. We find that when Amazon is out of stock, identical products sold by third‐party sellers face an eight‐percentage‐point decrease in the probability of receiving a recommendation. The pattern can be explained by the economic incentives of steering but not explained by consumer preference. Furthermore, the steering lowers recommendation efficiency.
Better monitoring …Worse outcome?
Authors: Zhu John Y. 
Published: October 2024

AbstractNew technologies allow firms to collect more information about worker performance than ever before. How will this extra information—much of which is non‐contractible and is used at the firm's discretion—impact incentives? I highlight a better monitoring/worse outcome channel that speaks to these concerns. Some improvements to monitoring tempt the firm to punish excessively. Workers then demand contracts with a small punishment threat. Without a serious punishment threat, effort and surplus decline. I characterize what kinds of improvements to monitoring lead to a worse outcome and explore how technologies can be designed to mitigate the better monitoring/worse outcome effect.
How do high phosphate concentrations affect soil microbial communities after a century of ecosystem self‐reclamation?
Authors: Ducousso‐Détrez Amandine , Morvan Simon , Fontaine Joël , Hijri Mohamed , Sahraoui Anissa Lounès‐Hadj 
Published: October 2024

AbstractThe use of rock phosphate (RP) instead of soluble phosphate fertilizers is preferred for the development of more sustainable agriculture. However, the impact of high concentrations in RP on bacterial and fungal communities remains poorly documented. Thus, next‐generation sequencing was used to characterize bacterial and fungal communities in the soils and roots of four plant species growing naturally in a self‐restored ecosystem, on former open‐pit phosphate mines where past exploitation generated locally a substantial phosphate enrichment of the soil. Our results show that bacterial communities are dominated by Actinobacteria and Proteobacteria phyla, while the Ascomycota and Basidiomycota phyla predominate in the fungal community. The alpha and beta diversities of both bacterial and fungal communities differ significantly between the root and soil compartments but are not significantly affected by RP inputs. However, Amplicon Sequence Variants (ASVs) indicative of RP‐enriched soils have been identified; among them are bacteria representative of Streptomyces, Bacillus, Mycobacterium or Agromyces. Implications of these results open new ways of reflection to understand the microbial response following RP‐inputs and long‐term soil restoration, as well as to formulate microbial‐based bioinoculants for sustainable agriculture applications based on microorganisms better adapted to high concentrations of RP.
Investigating the resistome of haemolytic bacteria in Arctic soils
Authors: Mogrovejo‐Arias Diana C. , Hay Melanie C. , Edwards Arwyn , Mitchell Andrew C. , Steinmann Jörg , Brill Florian H. H. , Neumann Bernd 
Published: October 2024

AbstractMicroorganisms inhabiting hostile Arctic environments express a variety of functional phenotypes, some of clinical interest, such as haemolytic ability and antimicrobial resistance. We studied haemolytic bacterial isolates from Arctic habitats, assessing their minimum inhibitory concentration (MIC) against antimicrobials. We then performed whole genome sequencing and analysed them for features conferring antimicrobial resistance. MIC data showed that Micromonospora spp. belong to 33% non‐wild type (NWT) for erythromycin and penicillin and 22% NWT for tetracycline. Both Pseudomonas spp. belong to 43% NWT for nalidixic acid and streptomycin and 29% NWT for colistin. Finally, the Pedobacter isolate was in 80% NWT for antimicrobials tested. Whole‐genome sequencing analyses revealed that fluoroquinolones, tetracyclines, macrolides and penams were the most frequent drug classes against which genotypic resistance was found. Additionally, resistance genes to heavy metals and disinfectants were identified. Our research demonstrates the presence of antimicrobial resistance in bacteria from Arctic habitats and highlights the importance of conservation efforts in these environments, where anthropogenic influence is becoming more evident. Furthermore, our data suggest the possible presence of novel resistance mechanisms, which could pose a threat if the responsible genes are transferable between species or become widespread due to environmental stress and alterations brought about by climate change.
TreeCompR: Tree competition indices for inventory data and 3D point clouds
Authors: Rieder Julia S. , Link Roman M. , Köthe Konstantin , Seidel Dominik , Ullmann Tobias , Žmegač Anja , Zang Christian , Schuldt Bernhard 
Published: October 2024

Abstract

In times of more frequent global change‐type droughts and associated tree mortality events, competition release is one silvicultural measure discussed to have an impact on the resilience of managed forest stands. Understanding how trees compete with each other is therefore crucial, but different measurement options and competition indices (CI) leave users with a difficult choice, as no single competition index has proven universally superior.

To help users with the choice and computation of appropriate indices, we present the open‐source TreeCompR package, which handles 3D point clouds and classical forest inventory data, enabling the calculation of both innovative point cloud‐based indices and traditional distance‐dependent indices. It serves as a centralized platform for exploring and comparing different CIs, allowing users to test and select the most suitable CI for their specific research questions within a common interface.

To evaluate the package, we used TreeCompR to quantify the competition situation of 307 European beech trees from 13 sites in Central Europe. Based on this dataset, we discuss the interpretation, comparability and sensitivity of the different indices to their parameterization and identify possible sources of uncertainty and ways to minimize them.

The compatibility of TreeCompR with different data formats and different data collection methods makes it accessible and useful for a wide range of users, specifically ecologists and foresters. Due to the flexibility in the choice of input formats as well as the emphasis on tidy, well‐structured output, our package can easily be integrated into existing data‐analysis workflows both for 3D point cloud and classical forest inventory data.
A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish eDNA surveys
Authors: Lamperti Letizia , François Olivier , Mouillot David , Mathon Laëtitia , Sanchez Théophile , Albouy Camille , Pellissier Loïc , Manel Stéphanie 
Published: October 2024

Abstract

Understanding how ecological assemblages vary in space and time is essential for advancing our knowledge of biodiversity dynamics and ecosystem functioning. Metabarcoding of environmental DNA (eDNA) is an efficient method for documenting biodiversity changes in both marine and terrestrial ecosystems. However, current methods fail to detect and display the biodiversity structure within and between eDNA samples limiting ecological and biogeographical interpretations.

We present a spatial matrix factorization method that identifies optimal eDNA sample assemblages—called pools—assuming that taxonomic unit composition is based on a fixed number of unknown sources. These sources, in turn, represent taxonomic units sharing similar habitat properties or characteristics. The method aims to reduce the multi‐taxa composition structure into a low number of dimensions defined by these sources. This method is inspired by admixture analysis in population genetics. Using a marine fish eDNA survey on 263 sampling stations detecting 2888 molecular operational taxonomic units (MOTUs), we apply this method to analyse the biogeography and mixing patterns of fish assemblages at regional and large scales.

At large scale, our analysis reveals six primary pools of fish samples characterized by distinct biogeographic patterns, with some mixtures between these pools. We identify pools composed of unique sources, corresponding to distinct and more isolated regions such as the Mediterranean and Scotia Seas. We also identify pools composed of a greater mix of sources, corresponding to geographically connected areas, such as tropical regions. Additionally, we identify the taxa underpinning the formation of each pool. In the regional analysis of Mediterranean eDNA samples, our method successfully identifies different pools, allowing the detection of not only geographic gradients but also human‐induced gradients corresponding to protection levels.

Spatial matrix factorization adds a new method in community ecology, where each sample is considered as a mixture of K unobserved sources, to assess the dissimilarity of ecological assemblages revealing environmental and human‐induced gradients. Beyond the study of fish eDNA samples, this method has the potential to shed new light on any biodiversity survey and provide new bioindicators of global change.
Assessment of teledentistry in improving access to dental care: a systematic review
Authors: Alavi SE , Gholami M , Malik L , Matti R , Oktaei S , Al‐Najafi F , Sharma A , Sharma LA 
Published: October 2024

AbstractTeledentistry has emerged as a promising approach to improving access to dental care, particularly for underserved populations. This systematic review aims to evaluate the effectiveness of teledentistry interventions in enhancing access to dental care. A comprehensive search across multiple databases was conducted to identify studies evaluating teledentistry interventions. Studies were included if they investigated the impact of teledentistry on dental care accessibility, utilization, or patient outcomes. Eligibility criteria were applied systematically to select relevant studies for inclusion. Forty‐six studies met the inclusion criteria and were included in the review. The synthesized evidence showed the effectiveness of teledentistry interventions in improving access to oral healthcare services, facilitating timely diagnosis and treatment planning, and enhancing patient outcomes. Despite variations in study designs and methodologies, teledentistry interventions consistently exhibited high diagnostic accuracy and concordance rates compared to traditional face‐to‐face consultations. The findings highlight teledentistry's transformative potential in modernizing oral healthcare delivery and reducing access disparities.
Early use of long‐acting injectable antipsychotics in bipolar disorder type I: An expert consensus
Authors: Vieta Eduard , Tohen Mauricio , McIntosh Diane , Kessing Lars Vedel , Sajatovic Martha , McIntyre Roger S. 
Published: October 2024

AbstractIntroductionLong‐acting injectable antipsychotics (LAIs) are not routinely offered to patients living with bipolar disorder type I (BP‐I), despite widespread evidence that supports their benefits over oral antipsychotics, particularly in early disease.MethodsA round‐table meeting of psychiatrists convened to discuss barriers and opportunities and provide consensus recommendations around the early use of LAIs for BP‐I.ResultsLAIs are rarely prescribed to treat BP‐I unless a patient has severe symptoms, sub‐optimal adherence to oral antipsychotics, or has experienced multiple relapses. Beyond country‐specific accessibility issues (e.g., healthcare infrastructure and availability/approval status), primary barriers to the effective use of LAIs were identified as attitudinal and knowledge/experience‐based. Direct discussions between healthcare providers and patients about treatment preferences may not occur due to a preconceived notion that patients prefer oral antipsychotics. Moreover, as LAIs have historically been limited to the treatment of schizophrenia and the most severe cases of BP‐I, healthcare providers might be unaware of the benefits LAIs provide in the overall management of BP‐I. Improved treatment adherence associated with LAIs compared to oral antipsychotics may support improved outcomes for patients (e.g., reduced relapse and hospitalization). Involvement of all stakeholders (healthcare providers, patients, and their supporters) participating in the patient journey is critical in early and shared decision‐making processes. Clinical and database studies could potentially bridge knowledge gaps to facilitate acceptance of LAIs.ConclusionThis review discusses the benefits of LAIs in the management of BP‐I and identifies barriers to use, while providing expert consensus recommendations for potential solutions to support informed treatment decision‐making.
Risk factors and disease trajectories of recurrent immune thrombocytopenia in children
Authors: Yang Yuan‐Ning , Chen Li‐Wen , Chen Jiann‐Shiuh , Lin Yung‐Chieh , Yeh Yun‐Hsuan , Cheng Chao‐Neng 
Published: October 2024

SummaryThis retrospective study aimed to analyse the course and outcome of recurrent immune thrombocytopenia (ITP) in children and to identify factors associated with recurrence. A total of 497 newly diagnosed ITP children with platelet <30 × 109/L between January 1988 and December 2019 were included. Recurrent ITP was defined as a new event of thrombocytopenia after at least 3 months of remission without treatment. Twenty‐nine (5.8%) children experienced 48 recurrent episodes. The median time from diagnosis to recurrence was 22 months. Most recurrences occurred in children aged 1.5–10 years with a recent infection history. Compared to non‐recurrent ITP, children with recurrent ITP had delayed remission with lower platelets at 1 month and 3 months postdiagnosis. Multivariate analysis identified aged 1.5–10 years (hazard ratio [HR] 3.65, 95% confidence interval [CI]: 1.35–9.82) and delayed remission at 7–12 months (HR 4.04, 95% CI: 1.37–11.95) as predictors for recurrence. Most recurrent ITP patients had minor or mild symptoms, higher platelet counts, did not require treatment, and achieved remission within 12 months. The similar remission trajectories among the first and recurrent ITP, but different from the courses in the non‐recurrent ITP, suggest that recurrent ITP might have a unique biological basis.
Identification of BAY61‐3606 Derivatives With Improved Activity in Splicing Modulation That Induces Inclusion of Cassette Exons Similar to the Splicing Factor 3B Subunit 1 Mutation
Authors: Matsumaru Takanori , Iwamatsu Toshiki , Ishigami Kana , Inai Makoto , Kanto Wataru , Ishigaki Ayumi , Toyoda Atsushi , Shuto Satoshi , Maenaka Katsumi , Nakagawa Shinichi , Maita Hiroshi 
Published: October 2024

ABSTRACTSplicing modulation by a small compound offers therapeutic potential for diseases caused by splicing abnormality. However, only a few classes of compounds that can modulate splicing have been identified. We previously identified BAY61‐3606, a multiple kinase inhibitor, as a compound that relaxes the splicing fidelity at the 3′ splice site recognition. We have also reported the synthesis of derivatives of BAY61‐3606. In this study, we tested those compounds for their splicing modulation capabilities and identified two contrasting compounds. These compounds were further investigated for their effects on the whole transcriptome, and analysis of changes in transcription and splicing revealed that the highly active derivative in the splicing reporter assay also showed significantly higher activity in modulating the splicing of endogenously expressed genes. Particularly, cassette exon inclusion was highly upregulated by this compound, and clustering analysis revealed that these effects resembled those in splicing factor 3b subunit 1 (SF3B1) K700E mutant cells but contrasted with those of the splicing inhibitor H3B‐8800. Additionally, a group of serine/arginine‐rich (SR) protein genes was identified as representatively affected, likely via modulation of poison exon inclusion. This finding could guide further analysis of the mode of action of these compounds on splicing, which could be valuable for developing drugs for diseases associated with splicing abnormalities.
Accuracy of Zygomatic Implant Placement Using Task‐Autonomous Robotic System or Dynamic Navigation: An In Vitro Study
Authors: Chen Jinyan , Tao Baoxin , Yu Xinbo , Wu Yiqun , Wang Feng 
Published: October 2024

ABSTRACTObjectivesTo evaluate and compare the accuracy of task‐autonomous robot‐assisted implant surgery (RAIS) and dynamic computer‐assisted implant surgery (dCAIS) for zygomatic implant placement.Materials and MethodsTen atrophic edentulous maxilla models requiring zygomatic implant (ZI) placement were randomly divided into the RAIS and dCAIS groups. Osteotomies and implant placement were performed under the guidance of a task‐autonomous robotic system or dynamic navigation system. A total of 20 ZIs were analyzed. The angular, coronal, lateral coronal, coronal depth, apical, lateral apical, and apical depth deviations were measured and analyzed between the two groups. The primary outcome parameters were the angular deviations between the planned and the placed ZIs. Data was subjected to descriptive and comparative statistical analysis. The significance of inter‐group differences for continuous variables was assessed with Student's two‐sample t‐tests, Welch two‐sample t‐tests, and Mann–Whitney U tests according to the distribution normality and variance homogeneity.ResultsZI placement deviations were compared between the RAIS and dCAIS groups, showing a mean angular deviation of 0.92 ± 0.40° versus 2.03 ± 0.53° (p < 0.001), a mean (±SD) coronal deviation of 0.48 ± 0.25 mm versus 1.29 ± 0.46 mm (p < 0.001), and a mean apical deviation of 0.88 ± 0.28 mm versus 1.96 ± 0.46 mm (p < 0.001).ConclusionsFor computer‐guided ZI placement, task‐autonomous RAIS was superior to dCAIS in terms of accuracy.
Rapid population response to a hunting ban in a previously overharvested, threatened landbird
Authors: Carboneras Carles , Šilarová Eva , Škorpilová Jana , Arroyo Beatriz 
Published: October 2024

AbstractEmpirical data are essential to assess the outcomes of management decisions in the context of adaptive management. We used flyway‐level population indices of a declining game bird to assess population changes after introducing hunting management measures as part of the European Union (EU)‐wide Adaptive Harvest Management mechanism (AHMM). In one flyway, a full hunting ban led to the start of population recovery; numbers increased by 25% in 2 years and the 10‐year population trend improved from “moderate decline” to “stable.” In the other flyway, harvest was only reduced (allegedly by 60% although statistics from key countries were incomplete), and numbers continued to fall (−15% decline). Our study shows positive results of the leading AHMM for a landbird in Europe and provides empirical evidence of the speed of population response and the timeframe needed for change to occur and to be detected. It showcases the successful application of policy mechanisms underpinned by science.