bluuebunny/crossref_metadata_2025_split huggingface dataset:
GECAM Localization of High-energy Transients and the Systematic Error
Authors: Zhao Yi , Xue Wang-Chen , Xiong Shao-Lin , Wang Yuan-Hao , Liu Jia-Cong , Luo Qi , Zhang Yan-Qiu , Sun Jian-Chao , Zhao Xiao-Yun , Cai Ce , Xiao Shuo , Huang Yue , Li Xiao-Bo , Zhang Zhen , Liao Jin-Yuan , Yang Sheng , Qiao Rui , Guo Dong-Ya , Zheng Chao , Yi Qi-Bin , Xie Sheng-Lun , Guo Zhi-Wei , Li Chao-Yang , Wang Chen-Wei , Tan Wen-Jun , Wang Yue , Peng Wen-Xi , Zheng Shi-Jie , He Jian-Jian , Wang Ping , Wang Jin , Ma Xiang , Song Xin-Ying , Zhang Hong-Mei , Li Bing , Zhang Peng , Wu Hong , Du Yan-Qi , Liang Jing , Zhao Guo-Ying , Li Xin-Qiao , Wen Xiang-Yang , An Zheng-Hua , Sun Xi-Lei , Xu Yan-Bing , Zhang Fan , Zhang Da-Li , Gong Ke , Liu Ya-Qing , Liang Xiao-Hua , Liu Xiao-Jing , Gao Min , Wang Jin-Zhou , Song Li-Ming , Chen Gang , Zhang Ke-Ke , Han Xing-Bo , Wu Hai-Yan , Hu Tai , Geng Hao , Lu Fang-Jun , Zhang Shu , Zhang Shuang-Nan , Lu Gao-Peng , Zeng Ming , Yu Heng 
Published: February 2023

Abstract
The Gravitational Wave High-energy Electromagnetic Counterpart All-sky Monitor (GECAM) is a pair of microsatellites (i.e., GECAM-A and GECAM-B) dedicated to monitoring gamma-ray transients including the high-energy electromagnetic counterparts of gravitational waves, such as gamma-ray bursts, soft gamma-ray repeaters, solar flares, and terrestrial gamma-ray flashes. Since launch in 2020 December, GECAM-B has detected hundreds of astronomical and terrestrial events. For these bursts, localization is the key for burst identification and classification as well as follow-up observations in multiple wavelengths. Here, we propose a Bayesian localization method with Poisson data with Gaussian background profile likelihood to localize GECAM bursts based on the distribution of burst counts in detectors with different orientations. We demonstrate that this method can work well for all kinds of bursts, especially extremely short ones. In addition, we propose a new method to estimate the systematic error of localization based on a confidence level test, which can overcome some problems of the existing method in the literature. We validate this method by Monte Carlo simulations, and then apply it to a burst sample with accurate location and find that the mean value of the systematic error of GECAM-B localization is ∼2.°5. By considering this systematic error, we can obtain a reliable localization probability map for GECAM bursts. Our methods can be applied to other gamma-ray monitors.
Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST
Authors: Wang 王 Bingjie 冰洁 , Leja Joel , Bezanson Rachel , Johnson Benjamin D. , Khullar Gourav , Labbé Ivo , Price Sedona H. , Weaver John R. , Whitaker Katherine E. 
Published: February 2023

Abstract
The advent of the James Webb Space Telescope (JWST) signals a new era in exploring galaxies in the high-z universe. Current and upcoming JWST imaging will potentially detect galaxies at z ∼ 20, creating a new urgency in the quest to infer accurate photometric redshifts (photo-z) for individual galaxies from their spectral energy distributions, as well as masses, ages, and star formation rates. Here we illustrate the utility of informed priors encoding previous observations of galaxies across cosmic time in achieving these goals. We construct three joint priors encoding empirical constraints of redshifts, masses, and star formation histories in the galaxy population within the Prospector Bayesian inference framework. In contrast with uniform priors, our model breaks an age–mass–redshift degeneracy, and thus reduces the mean bias error in masses from 0.3 to 0.1 dex, and in ages from 0.6 to 0.2 dex in tests done on mock JWST observations. Notably, our model recovers redshifts at least as accurately as the state-of-the-art photo-z code EAzY in deep JWST fields, but with two advantages: tailoring a model based on a particular survey is rendered mostly unnecessary given well-motivated priors; obtaining joint posteriors describing stellar, active galactic nuclei, gas, and dust contributions becomes possible. We can now confidently use the joint distribution to propagate full non-Gaussian redshift uncertainties into inferred properties of the galaxy population. This model, “Prospector-β,” is intended for fitting galaxy photometry where the redshift is unknown, and will be instrumental in ensuring the maximum science return from forthcoming photometric surveys with JWST. The code is made publicly available online as a part of Prospector
9

9

The version used in this work corresponds to the state of the Git repository at commit https://github.com/bd-j/prospector/commit/820ad72363a1f9c22cf03610bfe6e361213385cd.
.
D4.1. List and specifications of EBVs and EESVs for a European wide biodiversity observation network
Authors: Junker Jessi , Beja Pedro , Brotons Lluís , Fernandez Miguel , Fernández Néstor , Kissling W. Daniel , Lumbierres Maria , Lyche Solheim Anne , Maes Joachim , Morán-Ordóñez Alejandra , Moreira Francisco , Musche Martin , Santana Joana , Valdez Jose , Pereira Henrique 
Published: February 2023

EuropaBON harnesses the power of modelling Essential Biodiversity Variables (EBVs) to integrate different reporting streams, data sources, and monitoring schemes, and measure biodiversity change across multiple dimensions in space and time. Therefore, EBVs are at the core of the project and form the basis for several of the tasks feeding into the co-design of a biodiversity monitoring system for Europe. In this document, we describe the stepwise process of identifying and specifying the EBVs in the EBV list presented in this deliverable. We further provide a summary of the characteristics of the EBVs identified for EuropaBON, in terms of their desired spatial- and temporal resolutions, as well as the taxonomic/ ecosystem scope to be measured.
Deliverable D6.4 Applications for interoperable access to OpenBiodiv through semantically enhanced queries
Authors: Penev Lyubomir , Dimitrova Mariya , Zhelezov Georgi , Georgiev Teodor 
Published: February 2023

To the best of our knowledge, OpenBiodiv is the ﬁrst production-stage semantic system running on top of a reasonably-sized biodiversity knowledge graph. It stores biodiversity data in a semantic interlinked format and oﬀers facilities for working with it (Senderov et Penev 2016, Senderov et al. 2018, Penev et al. 2019, Dimitrova et al. 2021). It is a dynamic system that continuously updates its database as new biodiversity information becomes available by several international biodiversity publishers. It also allows its users to ask complex queries via SPARQL (a query language for semantic graph databases) and a simpliﬁed semantic search interface.
OpenBiodiv was created during two EU-funded Marie Sklodowska-Curie PhD projects: BIG4 (Grant Agreement No 642241) and IGNITE (Grant Agreement No 764840). During those projects, the backend Ontology-0, the ﬁrst versions of RDF converters and the basic website functionalities have been created (see Dimitrova et al. 2021 for overview).
After the start of the BiCIKL project, the entire workﬂow for processing and RDF conversion of full-text articles in XML and Plazi’s treatments in XML has been re-built using up-to-date technological solutions (such as Apache Kaka and Elasticsearch) to fully automatise and speed up the conversion process and to make it trackable and eﬃcient. As a result, the entire graph content has been re-processed and indexed. New user applications described in Milestone MS27 App speciﬁcations have been discussed and implemented.
The present deliverable describes the newly built workﬂow and tools for data extraction, conversion and indexing and the user applications, created in the BiCIKL project.
Deliverable D3.1&nbsp;Project logo, marketing pack and website design and development
Authors: Peneva Slavena , Hristova Kristina , Sapundzhieva Anna , Barov Boris , Stoev Pavel , Grudova Margarita , Kostadinova Iva 
Published: February 2023

This document presents BiCIKL’s recognizable visual identity, including the project logo, visual identity guide, brochure, poster, document, presentation templates and website design and functionality developed in the ﬁrst three months. These materials will ensure that BiCIKL is communicated eﬀectively and professionally with the aim to raise awareness and build a community from the start of the project.
The modern and user-friendly public website (bicikl-project.eu) provides an easy-to-navigate, continuously updated platform allowing fast access to general information about BiCIKL and its activities, operating on several levels. It also prominently features the participating project partners and Research Infrastructures and their extensive service portfolio.
An acoustic detection dataset of birds (Aves) in montane forests using a deep learning approach
Authors: Wu Shih-Hung , Ko Jerome Chie-Jen , Lin Ruey-Shing , Tsai Wen-Ling , Chang Hsueh-Wen 
Published: February 2023

Long-term monitoring is needed to understand the statuses and trends of wildlife communities in montane forests, such as those in Yushan National Park (YSNP), Taiwan. Integrating passive acoustic monitoring (PAM) with an automated sound identifier, a long-term biodiversity monitoring project containing six PAM stations, was launched in YSNP in January 2020 and is currently ongoing. SILIC, an automated wildlife sound identification model, was used to extract sounds and species information from the recordings collected. Animal vocal activity can reflect their breeding status, behaviour, population, movement and distribution, which may be affected by factors, such as habitat loss, climate change and human activity. This massive amount of wildlife vocalisation dataset can provide essential information for the National Park's headquarters on resource management and decision-making. It can also be valuable for those studying the effects of climate change on animal distribution and behaviour at a regional or global scale.
To our best knowledge, this is the first open-access dataset with species occurrence data extracted from sounds in soundscape recordings by artificial intelligence. We obtained seven bird species for the first release, with more bird species and other taxa, such as mammals and frogs, to be updated annually. Raw recordings containing over 1.7 million one-minute recordings collected between the years 2020 and 2021 were analysed and SILIC identified 6,243,820 vocalisations of seven bird species in 439,275 recordings. The automatic detection had a precision of 0.95 and the recall ranged from 0.48 to 0.80. In terms of the balance between precision and recall, we prioritised increasing precision over recall in order to minimise false positive detections. In this dataset, we summarised the count of vocalisations detected per sound class per recording which resulted in 802,670 occurrence records. Unlike data from traditional human observation methods, the number of observations in the Darwin Core "organismQuantity" column refers to the number of vocalisations detected for a specific bird species and cannot be directly linked to the number of individuals.
We expect our dataset will be able to help fill the data gaps of fine-scale avian temporal activity patterns in montane forests and contribute to studies concerning the impacts of climate change on montane forest ecosystems on regional or global scales.
Préambule : L’envie de monnaie
Authors: Desmedt Ludovic , Hiriart Eneko , Zurbach Julien 
Published: February 2023

Neutre ou négativement active selon les théories, la monnaie est un outil qui valide la valeur économique d’un bien ou d’un service. Pour que cet outil soit utilisé, il faut qu’il soit » accepté ». Quelle situation, quel projet, quels rapports de confiance ou de force vont permettre la création d’une monnaie et son développement et quels effets cela aura t-il sur la société ? Pour initier la discussion entre historiens de l’économie ancienne ou récente, la présentation d’une initiative de monnaie parallèle, lancée en 2018 par trois étudiants de l’École nationale supérieure de création industrielle (ENSCI) : La Maille.
Changes in Quality of Life, Sleep, and Physical Activity During COVID-19: A Longitudinal Study of Adolescent Athletes
Authors: Wingerson Mathew J. , Baugh Christine M. , Provance Aaron J. , Armento Aubrey , Walker Gregory A. , Howell David R. 
Published: February 2023

Context
The abrupt cessation of school and sport participation during the COVID-19 pandemic may have negative implications for adolescent mental health.

Objectives
To (1) compare mental, physical, and social health and behaviors during pandemic-related stay-at-home mandates with the same measures collected 1 to 2 years earlier and (2) evaluate the relationships between physical activity and sleep during the pandemic and changes in anxiety, fatigue, and peer relationships between assessment times.

Design
Cohort study.

Setting
Pediatric sports medicine center.

Patients or Other Participants
A total of 39 high school athletes (25 adolescent girls, 14 adolescent boys; age = 16.2 ± 0.9 years).

Main Outcome Measure(s)
Patient-Reported Outcome Measurement System anxiety, fatigue, and peer relationships short forms and the Pittsburgh Sleep Quality Index were completed twice (initial assessment in May 2018 or 2019, follow-up assessment in May or June 2020). Frequency and duration of physical activity and frequency of interaction with other individuals (family, peers, sport coaches, etc) were self-reported at follow-up assessment for the 2 weeks before school or sport closure and the 2 weeks before questionnaire completion.

Results
Higher levels of anxiety (5.5 ± 4.0 versus 3.6 ± 3.4 points; P = .003) and fatigue (5.4 ± 3.7 versus 2.3 ± 2.5 points; P &lt; .001) and worse sleep quality (6.6 ± 2.9 versus 4.3 ± 2.3 points; P &lt; .001) were observed during the pandemic compared with previous assessments. Reductions in physical activity were noted between assessments (exercise duration: 86.4 ± 41.0 versus 53.8 ± 30.0 minutes; P &lt; .001). Sleep quality but not physical activity during the pandemic predicted changes in fatigue (P = .03, β = 0.44 [95% CI = 0.06, 0.83]) and peer relationships (P = .01, β = −0.65 [95% CI = −1.16, −0.15]) from initial to follow-up assessment.

Conclusions
Mental and physical health declined during stay-at-home mandates compared with assessments 1 to 2 years earlier. Physical activity behaviors and sources of social interaction underwent changes after school and sport cessation. Sleep quality may have provided some protection against declining adolescent mental health during the pandemic, although this relationship requires further investigation.
The risk of abuse and mental health status of elderly residing in urban communities of Delhi
Authors: Arora Sumity , Kalra Raminder 
Published: February 2023

Background and Objectives:
Elderly is a vital part of the population of any country who owe respect and attention equally to any other section of the population. The present study was aimed at assessing the risk of abuse amongst the elderly, mental health status of elderly and correlation of abuse with their mental health of the elderly residing in urban communities of Delhi.

Materials and Methods:
This study was cross-sectional and descriptive conducted on 270 elderly chosen by cluster sampling method residing in the urban community of South Delhi, India. Sociodemographic data, elder abuse and their mental health were assessed by sociodemographic tool, Hwalek-Sengstock Elder Abuse Screening Test and Self Reporting Questionnaire (SRQ-20), respectively.

Results:
Online Social Science Statistics package was used for analysis of the study. In the present study, majority of the participants were male and were in the age of 61–70 years. Approximately 50% of elderly were uneducated and not working. The majority (63%) of the elderly reported a mild risk of abuse. The majority of the participants reported altered mental health, i.e., SRQ >7. In the study findings, elder abuse and mental health were significantly associated (at P < 0.05) with each other.

Conclusion:
The study showed that elder abuse and mental well-being of elderly are related to each other and it requires appropriate involvement of concerned authority to protect elderly living in the community of Delhi, India.
Assessment of Role of Platelet Indices in the Occurrence of Retinopathy of Prematurity
Authors: Reddy Rudhira M. , Bhandary Sulatha V. , Rao Krishna A. , Lewis Leslie E. , Lal Shivakumar M. , Rachel Namitha M. 
Published: February 2023

PURPOSE:
Platelets have a major role in the regulation of angiogenesis. Platelets have proangiogenic factors like vascular endothelial growth factor, which causes neovascularization of immature retina. However, there is no conclusive evidence to show that platelet indices have a role in retinopathy of prematurity (ROP). This study is aimed at assessing the role of platelet indices in the occurrence and need for treatment of ROP.

METHODS:
This prospective cohort study included the screening of preterm babies (<37 weeks of gestation with birth weight <2000 g). The samples of platelet indices (mean platelet volume [MPV], platelet count [PLT], plateletcrit [PCT], and platelet distribution width [PDW]) collected within 1st week of life were obtained from the electronic medical records and correlated to ROP status. Statistical analysis was done using SPSS version 22, and the Chi-square test and odds ratio were used for analysis.

RESULTS:
A total of 300 preterm babies were screened, of whom, 55 (18.3%) babies had ROP changes. The association of the presence of ROP changes and platelet indices was not statistically significant (P value being MPV [0.22], PLT [0.58], PCT [0.98], and PDW [0.17]). Similarly, the requirement of treatment for ROP (Type I ROP) could not be correlated with abnormal platelet indices (odds ratio at 95% confidence interval – MPV [6 (0.44–81.44)], PLT [1.7 (0.25–11.37)], PCT [3 (0.44–20.90)], and PDW [0.32 (0.33–3.05)]).

CONCLUSION:
Abnormal platelet indices did not show any significant risk with the occurrence or need for treatment of ROP.
Pediatric Rhabdomyosarcoma in Child's Central Teaching Hospital
Authors: Hatam Doaa Auday , Al-Janabi Allawi Noor Hussein , AL-Harris Shaimaa Saad Abdul-Zahra 
Published: February 2023

Background:
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in the first two decades of life. There is, however, a paucity of reports on the pattern of its occurrence in Iraq.

Aim:
To determine the demographic characteristics, clinical presentation, and survival among children with RMS treated at Child's Central Teaching Hospital (CCTH).

Patients and Methods:
A retrospective study was on 48 patients of histologically proven. RMS, in previously untreated children aged <15 years old at the CCTH in Baghdad, during the period from January 2009 to December, 2017.

Results:
Forty-eight patients with confirmed RMS were included. The mean age (standard deviation) was 4.9 (3.5) years. Thirty-four patients (70.8%) were <6 years, male 22 patients (46.8%), female 26 patients (54.2%), male:female ratio of approximately 1:1.2. Histopathology was embryonal in 38 case (79.1%). Incisional biopsy was done in 21 patients (43.8%), while excisional biopsy in 18 (37.5%) patients. The head and neck was the most common site of involvement at presentation, (nonorbital) 16 (33.3%) of cases. The estimated 4-year event-free survival (EFS) was 26.3% ± 7%. Twenty-one (43.8%) patients abandoned treatment. Among the cases who completed their treatment in the center, eight cases (16.7%) relapsed. In univariate analysis using log-rank test, nodal involvement was found to significantly influence the EFS at 4 years (P = 0.01). The estimated 4-year overall survival was 41.4% ± 9%. Nodal involvement significantly reduces overall survival at 4 years (P = 0.006).

Conclusions:
Clinical features and epidemiology of RMS in Iraqi children treated at CCTH somewhat resembles those of other countries. However, the EFS at 4 years and overall survival at 4-years are lower than that reported elsewhere.
Molecular Detection of Agglutinin-Like Sequence 1 Gene in Candida albicans that is Isolated from Diabetic Foot Patients
Authors: Tariq Mohammad Hassan Mohammad , Abbas Uroba Khalid 
Published: February 2023

Objectives:

Candida albicans is a microbe living within the natural human flora and is found in the upper respiratory tract, mouth, intestines, and vagina. C. albicans is able to cause infections that range from superficial infections of the skin to life-threatening systemic infections.

Aim of Study:
Detection of virulence gene agglutinin-like sequence (ALS) 1 by using molecular technology from clinical samples (C. albicans) that is isolated from ulcers of diabetic foot patients.

Materials and Methods:
This work was done on 235 patients who had diabetic foot patients admitted to the Specialized Center for Endocrinology and Diabetes (Baghdad Health Department/Rusafa) for the treatment of diabetic foot ulcers during November 2020 till March 2021. The collected samples of diabetic foot ulcers were cultured on different media (Sabouraud's dextrose agar with chloramphenicol for selective isolation and culturing of yeasts and HiCrome Candida Medium) for isolation of C. albicans fungus as well as automated biochemical test VITEK 2 system. The ALS1 virulence gene was detected by polymerase chain reaction using newly designed primers with a molecular size (419 bp).

Results:
Out of 235 Diabetic Foot Ulcer (DFU) cases, C. albicans were isolated in 20 (8.5%) patients (12 males and 8 females) of diabetic foot ulcers. In this study, the incidence of C. albicans infection at age [50–59 years] group was [40%], and increased at age group [60–69 years] to [55%], which represents the highest incidence of infection, then decreased in the age group [79–79 years] to [5%]). Seventy-five percent of the isolates were ALS1 gene positive.

Conclusions:
Diabetic people are more susceptible to infections due to their hyperglycemic environment and reduced immunity. The use of HiCrome Candida Identification Media with VITEK 2 system can help reduce the unnecessary steps of microorganism identification process. C. albicans infection is more common in males the females regarding diabetic foot ulceration. Majority of diabetic foot ulcers occur in older adults. ALS gene might be associated with diabetic foot ulceration.
BÜYÜK TAARRUZ’UN KALPGÂHI: 4’ÜNCÜ KOLORDU (26-30 AĞUSTOS 1922)
Authors: ÇAYKIRAN Güzin 
Published: February 2023

Sakarya Meydan Muharebesi (23 Ağustos-13 Eylül 1921) muzafferiyetle sona erdikten sonra şimdi sıra Yunan ordusunun Anadolu’dan atılmasına gelmişti. Bu minvalde Türk ordusu, zaman kaybetmeksizin taarruz hazırlıklarına başlamıştı. Taarruz hazırlığı yaklaşık 10,5 ay sürmüş ve hazırlıklar kapsamında gruplar kolordulara çevrilmiş, ordular kurulmuş ve Türk ordusuna kati neticeyi verdirecek olan Sad taarruz planı hazırlanmıştı. Plana göre cephenin sıklet merkezi Afyon’un güneyi idi. Yunan ordusuna darbe buradan indirilecekti. Bu plan çerçevesinde ordunun büyük bir kısmı Afyon güneyine hareket ettirilmişti. Hareket eden kuvvetlerden biri de 4’üncü Kolordu idi. Kolordu, Afyon’un güneyinde cephenin kalpgâhından cepheyi yarma görevi almış ve 26 Ağustos 1922’de taarruz başladığında cepheyi yaran ilk kuvvetlerden (5’inci Kafkas Tümeni) biri olmuştu. Ayrıca Büyük Taarruz’dan sonra Yunan Başkomutanı olarak atanan General Trikupis, 4’üncü Kolordu bölgesinde 5’inci Kafkas Tümeni tarafından esir edilmişti.
Çalışmada Büyük Taarruz’da 1’inci Ordu’ya bağlı 4’üncü Kolordunun cephe faaliyetleri ele alınmıştır. Bu faaliyetler, Milli Savunma Bakanlığı Arşiv ve Askerî Tarih Daire Başkanlığı Arşivi’nden tespit ve temin edilen arşiv belgeleri, Milli Savunma Bakanlığının Türk İstiklal Harbi Serisi’nde yer alan çalışmalar ve Literatürde yer alan çeşitli çalışmalarla anlatılmaya çalışılmıştır. Çalışmada nitel yöntem kullanılarak kaynaklar analiz edilmiş ve çalışma ortaya konulmuştur.