bluuebunny/crossref_metadata_2025_split huggingface dataset:
Faktor Struktural Social Appearance Anxiety Scale
Authors: Wardani Asti Kusuma , Hidayah Nurul , Safaria Triantoro 
Published: May 2023

Abstrak
Penelitian ini bertujuan untuk mengadaptasi alat ukur social appearance anxiety yang disusun oleh Hart (2008). Penelitian ini dilakukan untuk melihat apakah alat ukur cocok untuk remaja di Indonesia. Analisis digunakan untuk melihat faktor struktur dari social appearance anxiety. Sebanyak 100 orang remaja menjadi sampel pada penelitian ini. Hasil penelitian menyatakan bahwa alat ukur ini fit dapat digunakan pada remaja di Indonesia. Hasil tersebut ditunjukkan dari nilai p-value 0,63 (>0,5). Sementara hasil analisis dari RMSEA, dan TLI angka yang diperoleh menunjukkan model fit.
Kata kunci: kecemasan penampilan sosial, struktur faktor
Fat Embolism Syndrome Complicated by Diffuse Alveolar Hemorrhage After a Minimally Displaced Tibia Fracture
Authors: Seely Kevin D. , Cooper Reese , Machen Aaron , Eggers Ryan 
Published: May 2023

Case:
A 26-year-old man with a minimally displaced tibial shaft fracture after an all-terrain vehicle crush injury rapidly developed fat embolism syndrome (FES), leading to diffuse alveolar hemorrhage (DAH) preoperatively. He was treated with an intramedullary rod 10 days after injury after a complicated clinical course and went on to full union with no long-term mental or systemic sequelae.

Conclusions:
FES is a known complication of long bone fractures, frequently presenting with hypoxemia. DAH is a rare complication of the condition. This case demonstrates the need for a high index of suspicion both for FES and DAH as complications of orthopaedic trauma.
Quantifying medical histories with the Kaplan-Meier (KM) estimator for feature extraction of electronic health records in machine learning
Authors: Sufriyana Herdiantri , Wu Yu Wei , Su Emily Chia-Yu 
Published: May 2023

Abstract
This protocol aimed to describe data transformation procedure of medical histories from electronic health records (EHRs) to historical rates by Kaplan-Meier (KM) estimation. The applicability is to extract features from real-world, time-varying data of EHRs, for developing but not limited to a machine learning prediction model. By this extraction technique, machine can learn medical history of a condition in each healthcare provider, as a differential quantity through time in term of affecting a future health state, without a need to access EHRs of other healthcare providers. However, this protocol needs a sufficient amount of longitudinal data from the most subjects in EHRs. The key stages consisted of time interval computation, historical rate derivation, and data transformation into historical rates.
A simulation-based randomized trial of ABCDE style cognitive aid for emergency medical services CHecklist In Prehospital Settings – the CHIPS-Study
Authors: Droege Helena , Trentzsch Heiko , Zech Alexandra , Prueckner Stephan , Imach Sebastian 
Published: May 2023

Abstract
Background Checklists are a powerful tool for reduction of mortality and morbidity. Checklists structure complex processes in a reproducible manner, optimize team interaction, and prevent errors related to human factors. Despite wide dissemination of the checklist, effects of checklist use in the prehospital emergency medicine are currently unclear. The aim of the study was to demonstrate that participants achieve higher adherence to guideline-recommended actions, manage the scenario more time-efficient, and thirdly demonstrate better adherence to the ABCDE-compliant workflow in a simulated ROSC situation.
Methods CHIPS was a prospective randomized case–control study. Professional emergency medical service (EMS) teams were asked to perform cardiopulmonary resuscitation on an adult high-fidelity patient simulator achieving ROSC. The intervention group used a checklist which transferred the ERC guideline statements of ROSC into the structure of the ‘ABCDE’ mnemonic. Guideline adherence (performance score, PS), utilization of process time (items/minute) and workflow were measured by analyzing continuous A/V recordings of the simulation. Pre- and post-questionnaires addressing demographics and relevance of the checklist were recorded. Effect sizes were determined by calculating Cohen’s d. The level of significance was defined at p < 0.05.
Results Twenty scenarios in the intervention group (INT) and twenty-one in the control group (CON) were evaluated. The average time of use of the checklist (CU) in the INT was 6.32 min (2.39–9.18 min; SD = 2.08 min). Mean PS of INT was significantly higher than CON, with a strong effect size (p = 0.001, d = 0.935). In the INT, significantly more items were completed per minute of scenario duration (INT, 1.48 items/min; CON, 1.15 items/min, difference: 0.33/min (25%), p = 0.001), showing a large effect size (d = 1.11). The workflow did not significantly differ between the groups (p = 0.079), although a medium effect size was shown (d = 0.563) with the tendency of the CON group deviating stronger from the ABCDE than the INT.
Conclusion Checklists can have positive effects on outcome in the prehospital setting by significantly facilitating adherence to guidelines. Checklist use may be time-effective in the prehospital setting. Checklists based on the ‘ABCDE’ mnemonic can be used according to the ‘do verify’ approach. Team Time Outs are recommended to start and finish checklists.
Solar overall water-splitting by a spin-hybrid all-organic semiconductor
Authors: Lin Xinyu , Hao Yue , Gong Yanjun , Zhou Peng , Ma Dongge , Liu Zhonghuan , Sun Yuming , Sun Hongyang , Chen Yahui , Jia Shuhan , Li Wanhe , Guo Chengqi , Zhou Yiying , Huo Pengwei , Yan Yan , Ma Wanhong , Yuan Shouqi , Zhao Jincai 
Published: May 2023

Abstract

Direct solar-to-hydrogen (STH) conversion from pure water using all-organic heterogeneous catalysts remains elusive. The challenges are twofold: (i) full-band low-frequent photons in the solar spectrum cannot be harnessed into a unified S1 excited state for water-splitting based on the common Kasha-allowed S0→S1 excitation; (ii) the H+→H2 evolution suffers the high overpotential on pristine organic surfaces. Here, we report an organic molecular crystal nanobelt through the self-assembly of spin-one open-shell perylene diimide diradical anions (:PDI2−) and their tautomeric spin-zero closed-shell quinoid isomers (PDI2−). The self-assembled :PDI2−/PDI2− crystal nanobelt alters the spin-dependent excitation evolution, leading to spin-allowed S0S1→1(TT)→T1 + T1 singlet fission under visible-light (420 nm ~ 700 nm) and a spin-forbidden S0→T1 transition under NIR (700 nm ~ 1100 nm) within spin-hybrid chromophores. With a triplet-triplet annihilation upconversion, a newly formed S1 excited state on the diradical-quinoid hybrid induces the H+ reduction through a favorable hydrophilic diradical-mediated electron transfer, which enables simultaneous H2 and O2 production from pure water with an average apparent quantum yield over 1.5% under the visible-to-NIR solar spectrum.
Family history of cancer as a potential risk factor for colorectal cancer in EMRO countries: A Systematic Review and Meta- Analysis
Authors: Keivanlou Mohammad-Hossein , Amini-Salehi Ehsan , Joukar Farahnaz , Letafatkar Negin , Habibi Arman , Norouzi Naeim , Aleali Maryam Sadat , Rafat Zahra , Ashoobi Mohammad Taghi , Mansour-Ghanaei Fariborz , Hassanipour Soheil 
Published: May 2023

Abstract
Purpose
To investigated existing articles about the impact of positive family history of cancer on increased risk of colorectal cancer in EMRO countries
Method
PubMed, Scopus, and Web of science are selected as our databases. Newcastle-Ottawa (NCO) Checklist is used for quality assessment. Odds Ratio with 95% confidence interval was used to compare the effect of family history of cancer in case and control group
Result
Finally, 27 articles are carefully selected to be in our study. Our Meta-analysis showed a significantly positive association between positive family history of ANY Cancer or CRC on increased risk of CRC (OR = 1.76; 95% CI:1.27–2.42; P = 0.001, OR = 2.21; 95% CI:1.54–3.17; P < 0.001 respectively). Subgroup analysis revealed that positive family history of ANY cancer in First-Degree significantly increased the risk of CRC (OR = 2.12; 95% CI:1.65–2.73; P < 0.001). Positive family history of CRC in First-Degree relatives is also associated with increased risk of CRC (OR = 2.19; 95% CI:1.22–3.91; P = 0.008).
Conclusion
Our results show the importance of screening and early identification of patients with family history. Coordinating health care facilities and encouraging people to use screening methods for early detection and therefore better treatment can reduce mortality and financial costs for general public.
Genetic diversity of Tunisian and Indian date palm cultivars and genotypes revealed by AFLP markers
Authors: Karim Kadri , Malik Anoop Anand , Hamza Hammadi , Mohamed Elsafy , Sharma Shyam Sundar 
Published: May 2023

Abstract
Background The date palm breeding programs need to discover useful genetic fingerprints to characterize cultivars and assess their genetic diversity. This study assessed the genetic diversity among thirty-nine date palm cultivars from Tunisia and India using six AFLP (Amplified Fragment Length Polymorphism) markers.
Results A total of 360 loci were amplified, with 127 loci polymorphic (34.35%). The Jaccard's similarity coefficient ranged from 0.161 to 0.931, with the mean genetic distances of 0.568. AFLP's average marker index value was 7.28, with a resolving power of 10.91. The dendrogram showed a clear separation between Tunisian and Indian cultivars.
Furthermore, the heat map analysis allowed the identification of 10 bands specific to the Indian accessions, which were not detected in Tunisian genotypes.
Conclusions These loci could be linked to genes involved in the adaptation of the specie in Indian lands. The current finding can be used in the future breeding program by helping to select accessions adaptable to the specific environment.
Design and Analysis of Meta Resonator-based Tri-Band Antenna for Bio-sensing Applications
Authors: Saranya S , Sharmila B , Jeyakumar P , Muthuchidambaranathan P 
Published: May 2023

Abstract
A meta-material resonating antenna design having a hexagonal patch is proposed for bio sensing applications to work in triband resonating frequencies at 5.2GHz, 9.6GHz and 18.5GHz.The hexagonal patch is built on a dielectric constant of 4.4 FR4 epoxy substrate with a loss tangent of 0.030. Two different antennas are designed and tested with conducting metallic patches bounded by split ring resonator (SRR) slots and closed ring resonator slots which are also hexagon-shaped. Each antenna is capable of resonating at different frequency bands with good wide band characteristics due to the presence of partial ground plane. The hex- SRR resonates at 1.9GHz and 3.1GHz and hexagonal - CRR resonates at 5.2GHz, 9.6GHz, and 18.5GHz frequency bands resulting in multiband resonance characteristics. The proposed antenna is also validated with the study of metamaterial property of hexagonal SRR at the resonant frequency of 5.2GHz hence resulting in a compact (20 x 20 x 1.6) mm3 and more dominant design. Furthermore, the specific absorption rate (SAR) for the three-layer phantom model is confirmed, resulting in superior performance that is more appropriate for biosensing and on-body wearable devices. The testing is performed using E5063A ENA vector network analyzer provided by Keysight technologies. The measured and simulated results are very close, resulting in a better validation of the proposed work.
Gut-Brain rejuvenation: Identification of age associated changes in the neural firing pattern of myenteric primary afferent neurons and vagal fibres that are reversed by the aminosterol, squalamine
Authors: Kunze Wolfgang , Neufeld Karen-Anne McVey , Mao Yu-Kang , West Christine , Stanisz Andrew , Forsythe Paul , Barbut Denise , Zasloff Michael 
Published: May 2023

Abstract
Vagus nerve signaling is a key component of the gut-brain axis and regulates diverse physiological processes that decline with age. Gut to brain vagus firing patterns are regulated by myenteric intrinsic primary afferent neuron (IPAN) to vagus neurotransmission. It remains unclear how IPANs or the afferent vagus age functionally. Here we identified a distinct ageing code in gut to brain neurotransmission defined by consistent differences in firing rates, burst durations, interburst and intraburst firing intervals of IPANs and the vagus, when comparing young and aged neurons. The aminosterol, squalamine, reverted aged neurons to a young phenotype indicating the age associated changes in neural firing patterns are reversable. In contrast to young neurons sertraline failed to increase firing rates in the aged vagus whereas squalamine was still effective. These results may have implications for improved treatments involving pharmacological and electrical stimulation of the vagus for age-related mood and other disorders.
A Deterministic Wigner Transport Equation Solver with Infinite Correlation Length
Authors: Kim KyoungYeon 
Published: May 2023

Abstract
We propose a new formulation of the Wigner transport equation (WTE) with infinite correlation length. Since the maximum correlation length is not limited to a finite value, there is no uncertainty in the simulation results owing to the finite integral range of the nonlocal potential term. For general and efficient simulation, the proposed WTE formulation is solved self-consistently with the Poisson equation through the finite volume method and the fully coupled Newton-Raphson scheme. Through this, we implemented a quantum transport steady state and transient simulator with excellent convergence.
Application of a Multiplex Platform to Identify Novel Biomarkers for Pregnancy Location and Viability
Authors: Lee Iris Tien-Lynn , Senapati Suneeta , Schreiber Courtney , Koelper Nathanael , Takacs Peter , Barnhart Kurt 
Published: May 2023

Abstract
Determining early pregnancy location and viability can be cumbersome, often requiring serial evaluations. This study aimed to identify novel biomarker candidates for pregnancy location and viability using a pseudodiscovery high through-put technique. This was a case-control study among patients presenting for early pregnancy assessment, including ectopic pregnancies, early pregnancy losses, and viable intrauterine pregnancies. For pregnancy location, ectopic pregnancy was considered “case” and non-ectopic considered “control.” For pregnancy viability, viable intrauterine pregnancy was considered “case” and early pregnancy loss + ectopic pregnancy were considered “control.” Using Proximity Extension Assay technology from Olink Proteomics, serum levels of 1012 proteins were compared separately for pregnancy location and viability. Receiver operator characteristic curves were generated to determine a biomarker’s discriminative abilities. Analysis included 13 ectopic pregnancies, 76 early pregnancy losses, and 27 viable intrauterine pregnancies. For pregnancy location, 18 markers had an area under the curve (AUC) ≥ 0.80, with three being expressed more in ectopic compared to non-ectopic pregnancies: thyrotropin subunit beta, carbonic anhydrase 3, and DEAD (Asp-Glu-Ala-Asp) box polypeptide 58. For pregnancy viability, two markers had an AUC ≥ 0.80: lutropin subunit beta and serpin B8. While some of the markers were previously identified as implicated in early pregnancy physiology, others were from pathways not previously explored. Using a high through-put platform, a large number of proteins were screened as potential biomarkers for pregnancy location and viability, and twenty candidate biomarkers were identified. Further exploration of these proteins may facilitate validation as diagnostic tools for establishing early pregnancy diagnoses.
Nonstoichiometric balanced complexes: Implications on the effective deficiency of the underlying metabolic network
Authors: Langary Damoun , Küken Anika , Nikoloski Zoran 
Published: May 2023

Abstract
The deficiency of a (bio)chemical reaction network can be conceptually interpreted as a measure of its ability to support exotic dynamical behavior and/or multistationarity. The classical definition of deficiency relates to the capacity of a network to permit variations of the complex formation rate vector at steady state, irrespective of the network kinetics. However, the deficiency is by definition completely insensitive to the fine details of the directionality of reactions as well as bounds on reaction fluxes. While the classical definition of deficiency can be readily applied in the analysis of unconstrained, weakly reversible networks, it only provides an upper bound in the cases where relevant constraints on reaction fluxes are imposed. Here we propose the concept of effective deficiency, which provides a more accurate assessment of the network’s capacity to permit steady state variations at the complex level for constrained networks of any reversibility patterns. The effective deficiency relies on the concept of nonstoichiometric balanced complexes, which we have already shown to be present in real-world biochemical networks operating under flux constraints. Our results demonstrate that the effective deficiency of real-world biochemical networks is smaller than the classical deficiency, indicating the effects of reaction directionality and flux bounds on the variation of the complex formation rate vector at steady state.
Formulation and performance of aqueous film-forming foam fire-extinguishing agent composed of a short-chain perfluorinated heterocyclic surfactant as the key component
Authors: Wu Wenhai , Wang Jili , Zhou Yaqing , Sun Yong , Duan Jiang , Zhang Aidong 
Published: May 2023

Abstract
As the essential component(s), long-chain perfluorinated or short-chain perfluorinated ionic surfactants are required for effective aqueous film-forming foam (AFFF); nevertheless, the associated qualities of persistent pollution and toxicity have raised significant concerns. It has become critical to develop alternatives to the present fluorine component for AFFF to offset the negative effects. In this study, a short-chain perfluorinated nitrogen-heterocyclic nonionic amine oxide surfactant was combined with hydrocarbon surfactants and additives to prepare an AFFF concentrate. A laboratory technique was developed to evaluate the influence of ingredients on the performance of a 6% AFFF diluent, resulting in an improved AFFF formulation. The performance parameters for pool fire extinguishment and fire resistance of the AFFF formulation were encouraging, including a spreading coefficient of 5.4, foam expansion of 8.11, 25% drainage time of 4.6 min, extinguishing times for forceful application of 58 s, and fire burnback time of 18.6 min. In addition, the AFFF concentrate showed significant freezing resistance when stored at -20 oC for an extended period of time. The formulation outperformed the technical standard criteria and has the potential to be used as a novel AFFF agent.
Seismic data denoising through dual attention residual network
Authors: Gao Lei , Mao Xing , Liang DongSheng , Min Fan 
Published: May 2023

Abstract
Signal-to-noise ratio enhancement is conducive to seismic data imaging and interpretation. Denoising is the main way to solve this problem. In recent years, deep learning has made some achievements in data denoising. However, many methods based on deep learning do not consider the characteristics of seismic data, resulting in the loss of weak signals. This paper proposes dual attention residual convolutional neural network (DARN) for seismic data denoising. It consists of a number of dual attention residual blocks (DARBs). The main components of DARB are channel attention residual block (CARB) and spatial attention residual block (SARB). CARB is designed to learn the characteristics of random noise in different channels. It can preserves and transmits characteristic information about noise from different channels. SARB is designed to learn the distributional of random noise. It generates a spatial attention map of noise by combining different pooling methods and recalibrates its input feature map. Loss function with residual learning converts the learning target into noise to improve the training efficiency of the network. Randomized leaky rectified linear unit can retain negative information adaptively and efficiently. The well-trained network is applied to synthetic data and field data to verify its effectiveness. Comparison with other methods demonstrated that DARN can effectively suppress random noise and retain weak effective signal.
Direct interaction between CREB5 and OLIG2 enhances the self-renewal and proliferation of glioma stem cells
Authors: Kim Sung-Hak , Kim Hyun-Jin , Batara Don , Lee Seongsoo , Lee Suk Jun , Yin Jinlong , Park Sang-Ik , Park Minha , Seo Jong Bae , Hwang Jinik , Suh Sung-Suk 
Published: May 2023

Abstract
Glioblastoma multiforme (GBM) is the most lethal form of brain cancer in humans, with a grim prognosis and a median overall survival rate of less than 15 months. Recently, glioma stem cells (GSCs) have been identified as a crucial factor in both tumor initiation and therapy resistance in GBM. Analysis of datasets and direct differentiation experiments on GSCs have both confirmed that CREB5 is expressed more highly in GSCs than in differentiated GSCs. Furthermore, studies on loss of function have shown that CREB5 promotes the proliferation and self-renewal ability of GSCs, while also reducing their tumor-forming ability in vivo. RNA-sequencing, Luciferase reporter assay, and ChIP assay have demonstrated a direct association between CREB5 and OLIG2. These findings suggest that targeting CREB5 could be an effective approach to overcoming GSCs.
Magnetic quasi-atomic electrons driven reversible structural and magnetic transitions between electride and its hydrides
Authors: Kim Sung Wng , Lee Seung Yong , Lim Dong Cheol , Khan Md Salman , Hwang Jeong Yun , Kim Hyungsub , Lee Kyu Hyoung 
Published: May 2023

Abstract
In electrides, interstitial anionic electrons (IAEs) in the quantized energy levels at cavities of positively charged lattice framework possess their own magnetic moment and interact with each or surrounding cations, behaving as quasi-atoms and inducing diverse magnetism. Here, we report the reversible structural and magnetic transitions by the substitution of the quasi-atomic IAEs in the ferromagnetic two-dimensional [Gd2C]2+×2e- electride with hydrogens and subsequent dehydrogenation of the canted antiferromagnetic Gd2CHy (y>2.0). It is demonstrated that structural and magnetic transitions are strongly coupled by the presence or absence of the magnetic quasi-atomic IAEs and non-magnetic hydrogen anions in the interlayer space, which dominate exchange interactions between out-of-plane Gd-Gd atoms. Furthermore, the magnetic quasi-atomic IAEs are inherently conserved by the hydrogen desorption from the P3̅1m structured Gd2CHy, restoring the original ferromagnetic state of the R3̅m structured [Gd2C]2+×2e- electride. This variable density of magnetic quasi-atomic IAEs enables the quantum manipulation of floating electron phases on the electride surface.