bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining health apps and wearable use in improving physical and mental well-being across U.S., China, and Singapore
Authors: Lee Edmund W. J. , Bao Huanyu , Wu Yongda S. , Wang Man Ping , Wong Yi Jie , Viswanath K. 
Published: May 2024

AbstractHealth apps and wearables are touted to improve physical health and mental well-being. However, it is unclear from existing research the extent to which these health technologies are efficacious in improving physical and mental well-being at a population level, particularly for the underserved groups from the perspective of health equity and social determinants. Also, it is unclear if the relationship between health apps and wearables use and physical and mental well-being differs across individualistic, collectivistic, and a mix of individual–collectivistic cultures. A large-scale online survey was conducted in the U.S. (individualist culture), China (collectivist culture), and Singapore (mix of individual–collectivist culture) using quota sampling after obtaining ethical approval from the Institutional Review Board (IRB-2021-262) of Nanyang Technological University (NTU), Singapore. There was a total of 1004 respondents from the U.S., 1072 from China, and 1017 from Singapore. Data were analyzed using multiple regression and negative binomial regression. The study found that income consistently had the strongest relationship with physical and mental well-being measures in all three countries, while the use of health apps and wearables only had a moderate association with psychological well-being only in the US. Health apps and wearables were associated with the number of times people spent exercising and some mental health outcomes in China and Singapore, but they were only positively associated with psychological well-being in the US. The study emphasizes the importance of considering the social determinants, social–cultural context of the population, and the facilitating conditions for the effective use of digital health technologies. The study suggests that the combined use of both health apps and wearables is most strongly associated with better physical and mental health, though this association is less pronounced when individuals use only apps or wearables.
Performance investigation of epilepsy detection from noisy EEG signals using base-2-meta stacking classifier
Authors: Islam Torikul , Islam Redwanul , Basak Monisha , Roy Amit Dutta , Arman Md. Adil , Paul Samanta , Shandra Oleksii , Ali Sk. Rahat 
Published: May 2024

AbstractEpilepsy is a chronic neurological disease, characterized by spontaneous, unprovoked, recurrent seizures that may lead to long-term disability and premature death. Despite significant efforts made to improve epilepsy detection clinically and pre-clinically, the pervasive presence of noise in EEG signals continues to pose substantial challenges to their effective application. In addition, discriminant features for epilepsy detection have not been investigated yet. The objective of this study is to develop a hybrid model for epilepsy detection from noisy and fragmented EEG signals. We hypothesized that a hybrid model could surpass existing single models in epilepsy detection. Our approach involves manual noise rejection and a novel statistical channel selection technique to detect epilepsy even from noisy EEG signals. Our proposed Base-2-Meta stacking classifier achieved notable accuracy (0.98 ± 0.05), precision (0.98 ± 0.07), recall (0.98 ± 0.05), and F1 score (0.98 ± 0.04) even with noisy 5-s segmented EEG signals. Application of our approach to the specific problem like detection of epilepsy from noisy and fragmented EEG data reveals a performance that is not only superior to others, but also is translationally relevant, highlighting its potential application in a clinic setting, where EEG signals are often noisy or scanty. Our proposed metric DF-A (Discriminant feature-accuracy), for the first time, identified the most discriminant feature with models that give A accuracy or above (A = 95 used in this study). This groundbreaking approach allows for detecting discriminant features and can be used as potential electrographic biomarkers in epilepsy detection research. Moreover, our study introduces innovative insights into the understanding of these features, epilepsy detection, and cross-validation, markedly improving epilepsy detection in ways previously unavailable.
Contrasting magma chemistry in the Candelaria IOCG district caused by changing tectonic regimes
Authors: Romero R. , Barra F. , Reich M. , Ojeda A. , Tapia M. J. , del Real I. , Simon A. 
Published: May 2024

AbstractIron oxide-copper-gold (IOCG) deposits are a vital source of copper and critical elements for emerging clean technologies. Andean-type IOCG deposits form in continental arcs undergoing extension, and they have a temporal relationship with magmatism although they do not exhibit a close spatial relation with the causative intrusions. The processes required to form IOCG deposits and their potential connections to iron oxide–apatite (IOA)-type mineralization remain poorly constrained, as well as the characteristics of magmatism linked to both deposit types. Here we combine zircon U–Pb geochronology with zircon trace element geochemistry of intrusive rocks associated with the Candelaria deposit, one of the world’s largest IOCG deposits, to unravel distinctive signatures diagnostic of magmatic fertility. Our results reveal a marked transition in the geochemistry of intrusions in the Candelaria district, characterized by changes in the redox state, water content and temperature of magmas over time. The oldest magmatic stage (~ 128–125 Ma), prior to the formation of the Candelaria deposit, was characterized by zircon Eu/Eu* ratios of 0.20–0.42, and redox conditions of ΔFMQ − 0.4 to + 1.0. The earliest magmatic stage related to the formation of Fe-rich mineralization at Candelaria (118–115 Ma) exhibits low zircon Eu/Eu* ratios (0.09–0.18), low oxygen fugacity values (ΔFMQ ~− 1.8 to + 0.2) and relatively high crystallization temperatures. In contrast, the youngest stage at ~ 111–108 Ma shows higher zircon Eu/Eu* (~ 0.37–0.69), higher oxygen fugacity values (ΔFMQ ~  + 0.4 to + 1.3) and a decrease in crystallization temperatures, conditions that are favorable for the transport and precipitation of sulfur and chalcophile elements. We conclude that Candelaria was formed through two distinct ore-forming stages: the first associated with a reduced, high temperature, water-poor magma developed under a low tectonic stress, followed by a more oxidized, water-rich, and low temperature magmatic event related to a compressional regime. The first event led to Fe-rich and S-poor IOA-type mineralization, while the second event with geochemical signatures similar to those of porphyry copper systems, generated the Cu- and S-rich mineralization. This late stage overprinted preexisting IOA mineralization resulting in the formation of the giant Candelaria IOCG deposit.
Vaccination in twin pregnancies: comparison between immunization before conception and during pregnancy
Authors: Svirsky Ran , Rabbi Moran Landau , Hamad Ramzia Abu , Sharabi-Nov Adi , Kugler Nadav , Galoyan Narina , Sharon Nataly Zilberman , Meiri Hamutal , Maymon Ron , Levtzion-Korach Osnat 
Published: May 2024

AbstractTo evaluate the development of neutralizing Anti-Spike Protein IgG (Anti-S-IgG) during twin pregnancies before conception vs. during pregnancy. In this prospective study, three blood samples were collected from pregnant women and subjected to anti-S-IgG immunodiagnostics. The patient’s medical records, including vaccination and PCR test results, were collected from the hospital’s electronic database. Age-matched non-pregnant women were used as a control group. We enrolled 83 women with twin pregnancies. 49 women were vaccinated before conception, 21 women were vaccinated during pregnancy, and 13 were not vaccinated. Of the 13 women who weren’t vaccinated, three became positive during pregnancy, and all three were severely ill. By contrast, in women who were vaccinated during or before pregnancy, COVID-19 infection during pregnancy caused only mild symptoms. A ten-fold lower level of neutralizing Anti-S-IgG in the 3rd trimester was observed in healthy women who were vaccinated before conception and remained healthy until discharge from the hospital after delivery 1605 (IQR: 763–2410) compared to the healthy women who were vaccinated during pregnancy 152 AU/mL (IQR: 54–360). This difference was higher among women who were infected by COVID-19 (as verified by a positive PCR test). The third-trimester level of neutralizing Ant-S-IgG in the infected group was 4770 AU/mL (4760–6100) in infected women vaccinated before conception compared to those vaccinated during pregnancy who had 70 AU/mL (IQR: 20–170) (p < 0.001). In women vaccinated at 13–16 weeks gestation, neutralizing Anti-S-IgG at 20–22 weeks went up to 372 AU/mL (IQR: 120–1598) but rapidly dropped to 112 AU/mL (IQR: 54–357) at 28–30 weeks, (p < 0.001), a faster decline than in women vaccinated at a median 22 weeks before conception. Being infected by COVID-19 before conception was linked to having low Anti-S-IgG levels during pregnancy, whereas being infected by COVID-19 during pregnancy led to a very high response in the 3rd trimester. In twin pregnancies, significantly lower neutralizing Anti-S-IgG levels were observed in women vaccinated during pregnancy compared to those vaccinated before conception, whether infected or not infected by COVID-19. A full course of vaccination before conception is recommended.Trial registration. ClinicalTrials.gov Protocol Registration and Results System (PRS) Receipt Release Date: October 4, 2021. https://clinicaltrials.gov/ ID: NCT04595214.
Three-dimensional electrochemical-magnetic-thermal coupling model for lithium-ion batteries and its application in battery health monitoring and fault diagnosis
Authors: Bai Xuanyao , Peng Donghong , Chen Yanxia , Ma Chaoqun , Qu Wenwen , Liu Shuangqiang , Luo Le 
Published: May 2024

AbstractStorage batteries with elevated energy density, superior safety and economic costs continues to escalate. Batteries can pose safety hazards due to internal short circuits, open circuits and other malfunctions during usage, hence real-time surveillance and error diagnosis of the battery’s operational state is imperative. In this paper, a three-dimensional model of electrochemical-magnetic field-thermal coupling is formulated with lithium-ion pouch cells as the research focus, and the spatial distribution pattern of the physical field such as magnetic field and temperature when the battery is operational is acquired. Furthermore, this manuscript also investigates the diagnostic methodology for defective batteries with internal short circuits and fissures, that is, the operational state of the battery is evaluated and diagnosed by the distribution of the magnetic field surrounding the battery. To substantiate the method’s practical viability, the present study extends its examination to the 18650-battery pack. We obtained the magnetic field images of the normal operation of the battery pack and the failure state of some batteries and analyzed the relationship between the magnetic field distribution characteristics and the performance of the battery pack, providing a new method for the health monitoring and fault diagnosis of the battery pack. This non-contact method incurs no damage to the battery, concurrently exhibiting elevated sensitivity and extremely rapid response time. Meanwhile, it provides an effective means for non-destructive research on the batteries and can be applied to areas such as battery safety screening and non-destructive testing. This research not only helps to facilitate our understanding of the battery’s operating mechanism, but also provides robust support for safe operation and optimal battery design.
Population genomics of the invasive Northern Giant Hornet Vespa mandarinia in North America and across its native range
Authors: Taylor Benjamin A. , Tembrock Luke R. , Sankovitz Madison , Wilson Telissa M. , Looney Chris , Takahashi Junichi , Gilligan Todd M. , Smith-Pardo Allan H. , Harpur Brock A. 
Published: May 2024

AbstractThe northern giant hornet Vespa mandarinia (NGH) is a voracious predator of other insect species, including honey bees. NGH’s native range spans subtropical and temperate regions across much of east and southeast Asia and, in 2019, exotic populations of the species were discovered in North America. Despite this broad range and invasive potential, investigation of the population genomic structure of NGH across its native and introduced ranges has thus far been limited to a small number of mitochondrial samples. Here, we present analyses of genomic data from NGH individuals collected across the species’ native range and from exotic individuals collected in North America. We provide the first survey of whole-genome population variation for any hornet species, covering this species’ native and invasive ranges, and in doing so confirm likely origins in Japan and South Korea for the two introductions. We additionally show that, while this introduced population exhibited strongly elevated levels of inbreeding, these signatures of inbreeding are also present in some long-standing native populations, which may indicate that inbreeding depression alone is insufficient to prevent the persistence of NGH populations. As well as highlighting the importance of ongoing monitoring and eradication efforts to limit the spread of this species outside of its natural range, our data will serve as a foundational database for future genomic studies into introduced hornet populations.
Modeling COVID-19 data with a novel neutrosophic Burr-III distribution
Authors: Jamal Farrukh , Shafiq Shakaiba , Aslam Muhammad , Khan Sadaf , Hussain Zawar , Abbas Qamer 
Published: May 2024

AbstractIn this study, we have presented a novel probabilistic model called the neutrosophic Burr-III distribution, designed for applications in neutrosophic surface analysis. Neutrosophic analysis allows for the incorporation of vague and imprecise information, reflecting the reality that many real-world problems involve ambiguous data. This ability to handle vagueness can lead to more robust and realistic models especially in situation where classical models fall short. We have also explored the neutrosophic Burr-III distribution in order to deal with the ambiguity and vagueness in the data where the classical Burr-III distribution falls short. This distribution offers valuable insights into various reliability properties, moment expressions, order statistics, and entropy measures, making it a versatile tool for analyzing complex data. To assess the practical relevance of our proposed distribution, we applied it to real-world data sets and compared its performance against the classical Burr-III distribution. The findings revealed that the neutrosophic Burr-III distribution outperformed than the classical Burr-III distribution in capturing the underlying data characteristics, highlighting its potential as a superior modeling toolin various fields.
Angiotensin II participates in mitochondrial thermogenic functions via the activation of glycolysis in chemically induced human brown adipocytes
Authors: Takeda Yukimasa , Yoshikawa Toshikazu , Dai Ping 
Published: May 2024

AbstractBrown adipocytes are potential therapeutic targets for the prevention of obesity-associated metabolic diseases because they consume circulating glucose and fatty acids for heat production. Angiotensin II (Ang II) peptide is involved in the pathogenesis of obesity- and cold-induced hypertension; however, the mechanism underlying the direct effects of Ang II on human brown adipocytes remains unclear. Our transcriptome analysis of chemical compound-induced brown adipocytes (ciBAs) showed that the Ang II type 1 receptor (AGTR1), but not AGTR2 and MAS1 receptors, was expressed. The Ang II/AGTR1 axis downregulated the expression of mitochondrial uncoupling protein 1 (UCP1). The simultaneous treatment with β-adrenergic receptor agonists and Ang II attenuated UCP1 expression, triglyceride lipolysis, and cAMP levels, although cAMP response element-binding protein (CREB) phosphorylation was enhanced by Ang II mainly through the protein kinase C pathway. Despite reduced lipolysis, both coupled and uncoupled mitochondrial respiration was enhanced in Ang II-treated ciBAs. Instead, glycolysis and glucose uptake were robustly activated upon treatment with Ang II without a comprehensive transcriptional change in glucose metabolic genes. Elevated mitochondrial energy status induced by Ang II was likely associated with UCP1 repression. Our findings suggest that the Ang II/AGTR1 axis participates in mitochondrial thermogenic functions via glycolysis.
Designing metal halide perovskite solar modules for thermomechanical reliability
Authors: Casareto Marco , Rolston Nicholas 
Published: May 2024

AbstractThere is a significant deficiency in perovskite solar module (PSM) stability under thermomechanical stressors which is not well-understood. In this perspective, common issues seen with perovskite solar cell device fabrication related to thermomechanical reliability of PSM processing are discussed, with a focus on how the robustness of device layers and interlayer adhesion can be improved. Film stresses, adhesion of charge transport layers, and instability under light and heat are discussed with the purpose of providing insight on designing PSMs for durability. Processing conditions of encapsulation of PSMs and critical parameters to consider are also examined, and accelerated testing protocols for PSMs are discussed that probe mechanical degradation modes and ensure reliability of devices in the field.
Stationsäquivalente Behandlung suchterkrankter Kinder und
Jugendlicher. Eine qualitative Untersuchung
Authors: Moser Florian 
Published: May 2024

Zusammenfassung
Ziel der Studie Die stationsäquivalente Behandlung etabliert sich
zunehmend als aufsuchende Be-handlungsform psychiatrischer Kliniken. In der
vorliegenden Untersuchung soll die Frage beantwortet werden, wie Fachkräfte die
praktische Umsetzbarkeit bei Suchterkrankten im kinder- und
jugendpsychiatrischen Setting einschätzen.
Methodik Um die Forschungsfrage zu beantworten, wurde anhand eines
qualitativen Forschungsdesigns evaluiert, inwieweit sich die stationsäquivalente
Behandlung mit den Mindestmerkmalen der stationären Behandlung vereinbaren
lässt. Als Ausgangsmaterial der Untersuchung dienten die Mindestmerkmale der
OPS-Kodes zur stationären und stationsäquivalenten Behandlung. Die Auswertung
erfolgte anhand qualitativer Inhaltsanalyse.
Ergebnisse Unter Voraussetzung der engen Vernetzung des Hilfesystems,
stabiler häuslicher Rahmenbedingungen und engmaschiger medizinischer Begleitung
eröffnen sich viele Chancen für die Zielgruppe. Personelle Kapazität sowie
somatische Entgiftung zeigen sich als große Herausforderungen im aufsuchenden
Setting, stellen für sich jedoch kein Ausschlusskriterium einer
stationsäquivalenten Suchtbehandlung dar.
Schlussfolgerung Die Untersuchung zeigt, dass die stationsäquivalente
Behandlung auch im Bereich der Kinder- und Jugendpsychiatrie vielversprechende
Weiterentwicklungen des Suchthilfesystems bedeuten kann. Die Umsetzung in
Pilotversuchen unter verlaufsbegleitender Evaluation sollte mit in die weitere
Diskussion der praktischen Umsetzung aufgenommen werden.
A Comprehensive Review of Capsaicin and Its Role in Cancer Prevention
and Treatment
Authors: Radhakrishna Govardhan Katta , Ammunje Damodar Nayak , Kunjiappan Selvaraj , Ravi Kaveena , Vellingiri Shangavi , Ramesh Sameera Hammigi , Almeida Shannon D. , Sireesha Golla , Ramesh Soundarya , AL-Qahtani Saud , Chidamabaram Kumarappan , Theivendren Panneerselvam , Pavadai Parasuraman 
Published: May 2024

AbstractThis study examines the fundamental chemical mechanisms responsible for
capsaicin's advantageous impact on cancer, specifically investigating its
influence on several biological processes such as inflammation in cancer
metastasis, apoptosis, angiogenesis, and cellular proliferation. This
entity's connections with other signaling pathways, including PI3K/AKT,
NF-B, and TRPV channels, which have been linked to tumor growth, are thoroughly
examined in this work. This study presents a thorough analysis of preclinical
studies and clinical trials investigating the efficacy of capsaicin in treating
many forms of cancer, such as breast, prostate, colorectal, pancreatic, and
others. Through tests conducted in both live organisms and laboratory settings,
it has been determined that capsaicin has the ability to inhibit tumor growth
and induce apoptosis in cancer cells. (in vitro and in vivo).
Researchers have also looked at the results of combining capsaicin with
chemotherapy medications in traditional treatment. The efficacy and
bioavailability of capsaicin as a viable medicinal drug are being studied, along
with ways to improve its clinical value. The present investigation carefully
assesses the challenges and potential options for maximizing the therapeutic
benefits of capsaicin, including customized drug delivery and personalized
therapeutic strategies. In finalization, this comprehensive investigation brings
together the evidence currently obtainable on the anticancer properties of
capsaicin, underscoring its potential as an autonomous treatment option in the
struggle against cancer. Capsaicin is a compound of significant relevance for
continuing research and clinical exploration in the field of cancer treatment
due to its diverse mechanisms of action and ability for boosting prevailing
therapy approaches.
Evaluation of placenta and fetal lung using shear wave elastography in gestational diabetes mellitus: An innovative approach
Authors: Bayraktar Burak , Golbasi Hakan , Omeroglu Ibrahim , Golbasi Ceren , Tuncer Can Sevim , Ince Onur , Bayraktar Miyase Gizem , Ozer Mehmet , Ekin Atalay 
Published: May 2024

Abstract
Purpose This study aims to investigate placental and fetal lung stiffness in pregnant women with and without gestational diabetes, considering the well-established delay in fetal lung maturation associated with gestational diabetes.
Materials and Methods This prospective cohort study was conducted at a tertiary center and included pregnant women who underwent a 75-gram oral glucose tolerance test between 24–28 weeks of gestation. Elastography measurements were performed using point shear wave elastography (pSWE).
Results The study included 60 pregnant women diagnosed with gestational diabetes and 60 pregnant women in the control group. The SWE velocity of the peripheral placenta, central placenta, and lung was higher in the gestational diabetes group compared to the control group. Furthermore, the SWE velocity of the peripheral placenta, central placenta, and lung was higher in newborns with neonatal respiratory morbidity. Based on the ROC analysis of patients with gestational diabetes, the AUC for lung SWE velocity was 0.88 (cut-off 12.4 kPa, 95% CI: 0.77–0.99, p<0.001) with a sensitivity of 71.4% and specificity of 95.6% for predicting neonatal respiratory morbidity.
Conclusion Fetal placental and lung stiffness increase in fetuses of pregnant women with diabetes. Moreover, higher fetal lung stiffness during the fetal period is associated with increased neonatal respiratory morbidity.