bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review of the current transducer techniques
Authors: Tang Chunjun , Liang Jiakai , Zhu Qiang , Lu Xiaofeng , Shu Jun , Jiang Cong 
Published: June 2024

AbstractCurrent measurement technologies encompass a wide array of techniques, numbering over ten distinct methods. Among these, current sensors such as Rogowski coils and transformers based on Ampere’s law stand out. These sensors utilize electrical insulation between the primary and secondary windings, ensuring accurate and safe current measurement. In practical applications, current sensors play a critical role across various industries. They have become indispensable components in numerous devices, including inverters, DC/DC converters, motor controllers, uninterruptible power supplies, switch-mode power supplies, process control systems, and battery management systems. However, the high performance of these sensors often comes with increased costs, necessitating a thorough exploration of their notable advantages and inherent limitations. This paper aims to provide a detailed overview of the working principles and applications of various current sensors. By offering a clearer understanding of the different operating modes of these sensors and their respective strengths and limitations in practical applications, this paper seeks to furnish subsequent researchers with valuable insights for future investigations.
Back pain in adolescent idiopathic scoliosis: frequency and risk factors
Authors: Sarkovich Stefan , Leonardi Claudia , Darlow Matthew , Martin Davis , Issa Peter , Soria Tara , Bronstone Amy , Clement Carter 
Published: June 2024

Abstract
Purpose
Although back pain is commonly reported in patients with adolescent idiopathic scoliosis (AIS), factors that influence the presence and severity of back pain in AIS, including curve-specific variables, have not been well studied. This study aims to describe the prevalence and severity of back pain in AIS patients and determine the extent to which patient characteristics, including curve-specific factors, are associated with a higher risk of back pain in AIS.

Methods
The study was a retrospective medical records review of adolescents (aged 10–17 years) diagnosed with AIS between 01/01/2018 and 12/31/2021 at an academic tertiary children’s hospital. Patients with previous spine surgery were excluded. Variables collected included demographics (age, sex, race, insurance), Lenke classification, major coronal curve, back pain-related information, Risser stage, vitamin D levels, post-diagnosis brace utilization, physical therapy or chiropractic treatment, and surgery.

Results
A total of 891 AIS patients were included in the analysis. The sample was predominantly female (73.3%) and insured by Medicaid (57.8) with a mean age of 12.8 years. The mean major coronal curve was 26.3 degrees. Most patients had Lenke type 1 (47%) and type 5 (41%) curves. Nearly half of patients reported back pain (48.5%) with average pain severity in the low-to-moderate range (4.7) on FACES pain scale (0–10). Among those who reported back pain, 63.2% specified a location with the majority reporting pain in the lumbar region (56%) and, less commonly, in the thoracic (39%) and scapular (8%) regions. Lumbar pain was associated with significantly higher pain intensity (p = 0.033). Additionally, the location of pain reported was associated with location of major coronal curve (p < 0.0001). No association was observed between pain presence and vitamin D deficiency (p = 0.571, n = 175), major coronal curve magnitude (p = 0.999), Lenke curve type (p = 0.577), and sex (p = 0.069). Older patients, those insured by Medicaid, and those with higher Risser scores were more likely to report pain scores (p = 0.001 for all).

Conclusion
Nearly half (48%) of newly diagnosed AIS patients experience back pain which is higher than the prevalence of 33% seen in the general adolescent population. Pain was more prevalent among patients over the age of 13, with heavier body weight, and those insured by Medicaid. Pain was most commonly reported in the lumbar region, especially among patients with lumbar curves. This information can be helpful in counseling AIS patients, though further investigations are needed, especially to determine the underlying causes of back pain in AIS and to elucidate the discrepancy in pain between patients with Medicaid and commercial insurance.

Level of evidence.
Prognostic Study Level II.
MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug–Target Interactions Prediction
Authors: Zhang Yi-Lun , Wang Wen-Tao , Guan Jia-Hui , Jain Deepak Kumar , Wang Tian-Yang , Roy Swalpa Kumar 
Published: June 2024

AbstractDrug–target interactions is essential for advancing pharmaceuticals. Traditional drug–target interaction studies rely on labor-intensive laboratory techniques. Still, recent advancements in computing power have elevated the importance of deep learning methods, offering faster, more precise, and cost-effective screening and prediction. Nonetheless, general deep learning methods often yield low-confidence results due to the complex nature of drugs and proteins, bias, limited labeled data, and feature extraction challenges. To address these challenges, a novel two-stage pre-trained framework is proposed for drug–target interactions prediction. In the first stage, pre-trained molecule and protein models develop a comprehensive feature representation, enhancing the framework’s ability to handle drug and protein diversity. This also reduces bias, improving prediction accuracy. In the second stage, a transformer with bilinear pooling and a fully connected layer enables predictions based on feature vectors. Comprehensive experiments were conducted using public datasets from DrugBank and Epigenetic-regulators datasets to evaluate the framework’s effectiveness. The results demonstrate that the proposed framework outperforms the state-of-the-art methods regarding accuracy, area under the receiver operating characteristic curve, recall, and area under the precision-recall curve. The code is available at: https://github.com/DHCGroup/MocFormer.
Impact Assessment as a Legal Design Pattern—A “Timeless Way” of Managing Future Risks?
Authors: Wernick Alina 
Published: June 2024

AbstractImpact assessments are increasingly employed and debated as instruments for mitigating the fundamental rights risks associated with artificial intelligence, platforms and personal data processing. However, before their adoption in connection with technology and fundamental rights, impact assessments have been used for decades to mitigate large undertakings’ environmental and social impacts. An impact assessment is a process for collecting information to identify a future action’s effects and mitigate its unwanted effects. This article proposes that impact assessments represent a distinct legal design pattern with core elements that can be replicated in new legal contexts requiring ex-ante identification and mitigation of foreseeable risks. The tensions between diverging interests, temporality, epistemics and economics characterise this legal design pattern. The impact assessment process seeks to resolve these tensions by enabling translation between the regulator, the executor of the planned action and the stakeholders impacted by it. Awareness of the underlying patterns allows the lawmaker or the regulator to learn across diverse impact assessment models. Design pattern thinking advances research both on law and regulation by uncovering the tensions underling the design solution, as well as pattern interaction between legally mandated impact assessments and those representing other regulatory instruments. Finally, the approach raises awareness of the instrument’s shortcomings, including spheres where relying on complementary legal design patterns, such as precautionary principle, is more justified.
Unraveling the mechanism of assimilatory nitrate reduction and methane oxidation by Methylobacter sp. YHQ through dual N-O isotope analysis and kinetic modeling
Authors: Chen Guojun , Hao Qinqin , Zeng Raymond Jianxiong , Kappler Andreas , Li Xiaomin , Yue Fujun , Hu Shiwen , Yang Yang , Liu Fanghua , Li Han , Qian Dayi , Yang Baoguo , Sarkytkan Kaster , Liu Tongxu , Li Fangbai 
Published: June 2024

AbstractAssimilatory nitrate reduction and methane (CH4) oxidation by bacteria play important roles in carbon (C) and nitrogen (N) biogeochemical cycles. Here, an investigation of enzymatic assimilatory nitrate reduction and CH4 oxidation by Methylobacter sp. YHQ from the wetlands is presented, specifically concentrating on N and oxygen (O) isotope fractionation with various initial nitrate and oxygen concentrations. The N enrichment factors (15εassimilation) increased from 4.2 ± 0.7‰ to 6.9 ±1.3‰ and the O isotope enrichment factors (18εassimilation) increased from 2.7 ± 0.9‰ to 4.7 ± 0.8‰ during nitrate assimilation when initial nitrate concentrations increased from 0.9 mM to 2 mM. Similar 18ε and 15ε values were observed at different oxygen concentrations. The values of 18ε and 15ε provided vital parameters for the assessment of assimilatory nitrate reduction via the Rayleigh equation approach. The ratios of O and N isotope enrichment factors (18ε:15ε)assimilation ranged from 0.64 ± 0.15 to 0.74 ± 0.18 during nitrate assimilation by Methylobacter sp. YHQ with Nas, which were different from (18ε:15ε)assimilation for assimilatory eukaryotic nitrate reductase (eukNR) from literature data. Thus, N and O isotope fractionation could be useful tools to distinguish eukNR from Nas during nitrate assimilation. Additionally, the rates of CH4 oxidation and nitrate reduction were evaluated with a reaction-based kinetic model, and it quantitatively described the enzymatic reactions of nitrate assimilation. Combining dual N-O isotope analysis with kinetic modeling provides new insights into the microbially driven C-N interactions.
Graphical Abstract
A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions
Authors: Adewole Kayode S. , Alozie Emmanuel , Olagunju Hawau , Faruk Nasir , Aliyu Ruqayyah Yusuf , Imoize Agbotiname Lucky , Abdulkarim Abubakar , Imam-Fulani Yusuf Olayinka , Garba Salisu , Baba Bashir Abdullahi , Hussaini Mustapha , Oloyede Abdulkarim A. , Abdullahi Aminu , Kanya Rislan Abdulazeez , Usman Dahiru Jafaru 
Published: June 2024

AbstractA Clinical Data Repository (CDR) is a dynamic database capable of real-time updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer numerous benefits, ranging from preserving patients' medical records for follow-up care and prescriptions to enabling the development of intelligent models that can predict, and potentially mitigate serious health conditions. While several research works have attempted to provide state-of-the-art reviews on CDR design and implementation, reviews from 2013 to 2023 cover CDR regulations, guidelines, standards, and challenges in CDR implementation without providing a holistic overview of CDRs. Additionally, these reviews need to adequately address critical aspects of CDR; development and utilization, CDR architecture and metadata, CDR management tools, CDR security, use cases, and artificial intelligence (AI) in CDR design and implementation. The collective knowledge gaps in these works underscore the imperative for a comprehensive overview of the diverse spectrum of CDR as presented in the current study. Existing reviews conducted over the past decade, from 2013 to 2023 have yet to comprehensively cover the critical aspects of CDR development, which are essential for uncovering trends and potential future research directions in Africa and beyond. These aspects include architecture and metadata, security and privacy concerns, tools employed, and more. To bridge this gap, in particular, this study conducts a comprehensive systematic review of CDR, considering critical facets such as architecture and metadata, security and privacy issues, regulations guiding development, practical use cases, tools employed, the role of AI and machine learning (ML) in CDR development, existing CDRs, and challenges faced during CDR development and deployment in Africa and beyond. Specifically, the study extracts valuable discussions and analyses of the different aspects of CDR. Key findings revealed that most architectural models for CDR are still in the theoretical phase, with low awareness and adoption of CDR in healthcare environments, susceptibility to several security threats, and the need to integrate federated learning in CDR systems. Overall, this paper would serve as a valuable reference for designing and implementing cutting-edge clinical data repositories in Africa and beyond.
Participation rate and economic cost of ProjectECHO® at an urban academic medical center
Authors: Markossian Talar W. , Wolodiger Emily D. , Wainer Allison L. 
Published: June 2024

AbstractThis paper describes costs associated with establishing and delivering Early Childhood ECHO® (Extension for Community Healthcare Outcomes) program to train community-based early care providers working in Chicago’s West Side communities in identifying and addressing the most common developmental, behavioral, and social-emotional concerns in young children. Results suggest that it costs $33,120 to train 12 providers within a societal perspective and $29,584 within the funder perspective; however, the cost of program delivery decreases as additional cohorts of providers are trained. This program holds promise as a relatively affordable approach to reducing long-term costs associated with behavioral health and developmental problems and improving outcomes for children and youth.
An earthquake spectra parameters near the new capital administrative city, Egypt
Authors: Salama Asem , Moussa Hesham Hussein , Maklad Mohamed 
Published: June 2024

AbstractSeven Strong Motion stations recorded an earthquake of Mw 3.8 on December, 31 2018 on the Cairo- Suez southern road. The furthest NUB station is about 302 km from the epicenter, whereas the closest KOT station is 10 km away. This event is considered the first recorded acceleration event near the new capital administrative city. The KOT station has the highest recorded acceleration, measuring 16.38 Gal. The peak ground velocity (PGV), peak ground displacement (PGD), and Pseudo acceleration values for the same station are calculated to be 0.00109 m/s, 0.114 cm, and 0.0731 g, respectively. An intensity map was created for this event as a questionnaire gathered information from Facebook and EMSC. In the vicinity of Qattamiya Observatory, the maximum observed intensity is (IV). According to the geological information and average shear wave velocity calculated from previous studies, We classified the station sites into soil types B, C, and D. We correlated them with the HVSR analysis obtained from S-wave earthquake data. The maximum amplification factor (A0) was found for a BANH station equal to 5.8 and equivalent to the Fundamental frequency (F0) of 3 Hz. The minimum amplification factor was found to be for stations of ISM & NUB with A0 equal to 2.8 and 1.6, respectively, while Fundamental frequency (F0) was 0.7 and 2 Hz, respectively. At the KOT station, the response design spectrum indicates a maximum value of 70 Gal. The new Egyptian capital administrative city is strongly advised to set up an early warning system and structural earth monitoring to manage the risk assessment of any potential seismic activities in the future.
Recently Identified Mesoproterozoic Strata in South‐Central Idaho Document Late‐Stage Rifting of the Nuna Supercontinent in Western Laurentia
Authors: Lever J. P. , Sundell K. E. , Pearson D. M. , Brennan D.T. 
Published: June 2024

AbstractSedimentary basins are valuable archives of tectonic processes involved in continental rifting. The northern Rocky Mountains preserve the Belt Supergroup, one of the most complete records of Mesoproterozoic strata on Earth; however, debate remains about its tectonic origin. We investigated a recently identified package of Mesoproterozoic strata at Leaton Gulch near Challis, Idaho, using a combination of traditional and newer sedimentological tools. Results suggest that the Leaton Gulch stratigraphic section was deposited in a fluvial setting ca. 1,380–1,317 Ma, spanning the poorly documented interval between late Belt Supergroup deposition at ∼1,370 Ma and recently characterized Deer Trail Group strata that are less than 1,300 Ma. Detrital zircon age distributions from Leaton Gulch demonstrate a similar provenance signature to Missoula Group rocks of the upper Belt Supergroup; however, Leaton Gulch strata are up to ∼70 Ma younger than most prior age constraints on Belt Supergroup rocks. Regional metabentonites (interpreted as metamorphosed reworked tuffs) found within Leaton Gulch and Missoula Group strata show dominantly radiogenic εHf(t), with a range of −8 to +15, interpreted as a mix of primary mantle and remelted metasedimentary sources. Zircon trace element data of the metabentonite from Leaton Gulch suggest a 1,450–1,300 Ma geochemically consistent and moderate–high silica melt source. Collectively, the strata of Leaton Gulch record basin sedimentation during a critical window of Mesoproterozoic time. We speculate that sedimentation during late‐stage Belt Supergroup deposition thickened and stepped westward, abandoning the main Belt basin, culminating with breakup of the Nuna Supercontinent.
Long‐Term Trend in Black Carbon Mass Concentration Over Central Indo‐Gangetic Plain Location: Understanding the Implied Change in Radiative Forcing
Authors: Mehrotra Bharat Ji , Srivastava Atul K. , Singh Amarendra , Parashar Dirgha , Majumder Nabankur , Singh R. S. , Choudhary Arti , Srivastava Manoj K. 
Published: June 2024

AbstractFor the first‐time, analysis of a decade long measurement of Black Carbon mass concentration (BC) was carried out at a representative central Indo‐Gangetic Plain (IGP) location, Varanasi (25.30°N, 83.03°E, 79 m asl), from 2009 to 2021 to understand its physical, optical, and radiative impacts. During the 13‐year study period, the daily BC mass concentration was found to vary between 0.07 and 46.23 μg m−3 (mean 9.18 ± 6.53 μg m−3) and showed a strong inter‐annual and intra‐annual variations. The inter‐annual variability of BC showed a significant decreasing trend (−0.47 μg m−3 yr−1), with a maximum during the post‐monsoon (−1.86 μg m−3 yr−1) and minimum during the pre‐monsoon season (−0.31 μg m−3 yr−1). The Black Carbon Aerosol Radiative Forcing (BC‐ARF) at the top of the atmosphere (BC‐ARFT), surface (BC‐ARFS), and within the atmosphere (BC‐ARFA) was found to be 10.3 ± 6.4, −30.1 ± 18.9, and 40.5 ± 25.2 W m−2, respectively. BC‐ARF also showed a strong inter‐annual variability with a decreasing trend for BC‐ARFT (−0.47 W m−2 yr−1) and BC‐ARFA (−1.94 W m−2 yr−1), while it showed an increasing trend for BC‐ARFS (1.33 W m−2 yr−1). Concentrated weighted trajectories (CWT) and potential source contribution function (PSCF) analyses were performed at the station to determine the potential source sectors and transport routes of BC aerosols. These analyses revealed that the long‐range source of BC at Varanasi originates from the upper and lower IGP, central highlands, southern peninsular region, Pakistan, and even from the Central East Asia region.
Political voting in the United Kingdom 2019 general election and risk of living with obesity in a nationally representative sample
Authors: Daley A. J. , Roalfe A. K. , Bleich S. N. 
Published: June 2024

Abstract
Background
Limited evidence from the United States suggests that county/state rates of people with obesity are positively associated with voting for the Republican Party presidential candidate, although this question has not yet been studied at the individual level, and/or outside of the United States, where the health and political systems are very different in other countries.

Objectives
Using individual level data, assess differences in rates of people with obesity according to political voting in the United Kingdom 2019 general election, and examine whether people living in constituencies won by Members of Parliament (MPs) from the Conservative Party were more likely to be living with obesity than those living in constituencies won by MPs from other parties.

Methods
Data was obtained by the Ipsos KnowledgePanel where panellists are recruited via a random probability unclustered address-based sampling method. 4000/14,016 panellists were randomly invited to provide data on socio-demographics, health outcomes, voting behaviour and height/weight.

Results
2668/4000 (67%) of invitees provided data, 95/2668 (3.5%) were not eligible to vote, with the remaining 2573 (96.5%) included. Conservative Party voters were more likely to be living with obesity than those who voted Labour (OR:1.42 95% CI (1.01–1.99)) or Liberal Democrats (1.54 95% CI (1.00–2.37)). Conservative Party voters on average had significantly higher BMI scores than those voting Labour and Liberal Democrats; BMI mean difference 0.88 points (95% CI: 0.16–1.61) between Conservative and Labour voters, and 1.04 points (95% CI: 0.07–2.02) between Conservatives and Liberal Democrats voters. There was no evidence participants living in constituencies won by Conservative MPs were more likely to be living with obesity than constituencies won by other party MPs.

Conclusion
Governments and public health agencies may need to focus on the political affiliation of the public when developing strategies to reduce the number of people with obesity.
Severity in the genomic age: the significance of lived experience to understandings of severity
Authors: Kaur Amarpreet 
Published: June 2024

Abstract
This article explores the significance of lived experience to understandings of severity in the genomic age. It draws upon data from structured interviews with 21 people living with monogenic conditions in England. The article argues that while lived experiences are subjective, participants consider the severity of disease by the impact a condition has on a person’s quality of life and mental health; both of these interplays are influenced by social, economic, and environmental factors. The three factors and considerations to the impact of living with disease on mental health are generally absent from current frameworks designed to assess severity for clinical applications of genomic technologies such as preimplantation genetic testing (PGT). This article describes ways in which such factors impact the quality of life and the mental health of people living with genetic conditions. It also indicates what lived experiences, which illustrate the impact of these factors, have to offer policy-makers when they are assessing the concept of severity or seriousness of genetic conditions for applications of existing and potential genomic technologies in the genomic age.