bluuebunny/crossref_metadata_2025_split huggingface dataset:
A chromosome-level genome of the striated frogfish (Antennarius striatus)
Authors: Hu Mingliang , Fan Deqian , Hao Jiaqi , Zhang Fenghua , Xu Wenjie , Zhu Chenglong , Wang Kun , Song Xiaojing , Li Lisen 
Published: June 2024

AbstractThe striated frogfish (Antennarius striatus), a member of the sub-order Antennarioidei within the order Lophiiformes, possesses remarkable adaptations. These include the ability to modulate body coloration for camouflage, utilize bioluminescent esca for predation, and employ elbow-like pectoral fins for terrestrial locomotion, making it a valuable model for studying bioluminescence, adaptive camouflage, fin-to-limb transition, and walking-like behaviors. To better study and contribute to the conservation of the striated frogfish, we obtained the micro-CT image of the pectoral fin bones and generated a high-quality, chromosome-level genome assembly using multiple sequencing technologies. The assembly spans 548.56 Mb with a contig N50 of 21.05 Mb, and 99.35% of the genome is anchored on 24 chromosomes, making it the most complete genome available within Lophiiformes. The genome annotation revealed 28.43% repetitive sequences and 23,945 protein-coding genes. This chromosome-level genome provides valuable genetic resources for frogfish conservation and offers insights into the genetic mechanisms underlying its unique phenotypic evolution. Furthermore, it establishes a foundation for future research on limb development and adaptive camouflage in this species.
Prevalence and relevant factors of nocturia and its impact on sleep quality in Chinese university students
Authors: Liu Yakai , Zhang Zhenwei , Huijie Hu  , He Xiangfei , Xu Pengchao , Qifeng Dou  , Song Cuiping , Zhang Huiqing , Franco Israel , Kamperis Konstantinos , Rittig Søren , Jianguo Wen  
Published: June 2024

AbstractThe purpose of this study was to investigate the prevalence and relevant factors of nocturia and its impact on sleep quality in university students in Mainland China. A large-scale survey was conducted on 14,000 university students from 3 universities in Henan province, China by using an anonymous questionnaire. The questionnaire collected the information from the past six months. The relationships between the prevalence of nocturia and its relevant factors were evaluated. A total of 13,874 questionnaires were collected and 13,104 qualified for statistical analysis. A total of 659 students suffered from clinically relevant nocturia (CRN) (4.56% in male and 5.34% in female). Both univariate analysis and the logistic stepwise regression model showed that the prevalence of nocturia was significantly related to female, history of enuresis, ease of waking up, urgency, frequency and RUTI (P < 0.05). The sleep quality and the university entrance score of CRN group was significantly lower than that of control group (P < 0.05). Nocturia was common in Chinese university students and showed a negative impact on sleep and academic performance. Gender of female, history of enuresis, ease of waking up, urgency, frequency and RUTI were relevant factors for CRN.
Magneto-optical assessment of Plasmodium parasite growth via hemozoin crystal size
Authors: Orbán Ágnes , Schumacher Jan-Jonas , Mucza Szilvia , Strinic Ana , Molnár Petra , Babai Réka , Halbritter András , Vértessy Beáta G. , Karl Stephan , Krohns Stephan , Kézsmárki István 
Published: June 2024

AbstractHemozoin is a natural biomarker formed during the hemoglobin metabolism of Plasmodium parasites, the causative agents of malaria. The rotating-crystal magneto-optical detection (RMOD) has been developed for its rapid and sensitive detection both in cell cultures and patient samples. In the current article we demonstrate that, besides quantifying the overall concentration of hemozoin produced by the parasites, RMOD can also track the size distribution of the hemozoin crystals. We establish the relations between the magneto-optical signal, the mean parasite age and the median crystal size throughout one erythrocytic cycle of Plasmodium falciparum parasites, where the latter two are determined by optical and scanning electron microscopy, respectively. The significant correlation between the magneto-optical signal and the stage distribution of the parasites indicates that the RMOD method can be utilized for species-specific malaria diagnosis and for the quick assessment of drug efficacy.
Extended phase space thermodynamics of regular-AdS black hole
Authors: Rehan Mohd , Islam Shafqat Ul , Ghosh Sushant G. 
Published: June 2024

AbstractAfter obtaining an exact regular-AdS black hole resulting from the coupling of general relativity with nonlinear electrodynamics (NED), we explore the thermodynamics of the extended phase space, treating the cosmological constant ($$\Lambda$$
Λ
) as the pressure (P) of the black holes and its conjugate as thermodynamic volume (V). Considering the NED parameter (g), we investigate the Hawking temperature, entropy, Gibb’s free energy and specific heat at the horizon radius. Due to the presence of NED charge, the black hole exhibits van der Waals-like phase transition instead of Hawking-Page phase transition, which could be observed through the $$G-T$$

G
-
T

plots, which display a swallowtail pattern below the critical pressure, and it gives rise to second-order phase transitions when pressure attains its critical value. The first-order phase transition shares similarities with the liquid-gas phase transition. We determine the exact critical points and explore the influence of NED on $$P-V$$

P
-
V

criticality, revealing that the isotherms undergo a liquid-gas-like phase transition for temperatures below its critical value $$T_C$$

T
C

, especially at lower $$T_C$$

T
C

. The identical critical exponent to that of the van der Waals fluid suggests that the NED does not alter the critical exponents, as observed in other arbitrary AdS black holes.
A fully coupled system of generalized thermoelastic theory for semiconductor medium
Authors: Sherief H. , Naim Anwar M. , Abd El-Latief A. , Fayik M. , Tawfik A. M. 
Published: June 2024

AbstractThis study presents a new mathematical framework for analyzing the behavior of semiconductor elastic materials subjected to an external magnetic field. The framework encompasses the interaction between plasma, thermal, and elastic waves. A novel, fully coupled mathematical model that describes the plasma thermoelastic behavior of semiconductor materials is derived. Our new model is applied to obtain the solution to Danilovskaya’s problem, which is formed from an isotropic homogeneous semiconductor material. The Laplace transform is utilized to get the solution in the frequency domain using a direct approach. Numerical methods are employed to calculate the inverse Laplace transform, enabling the determination of the solution in the physical domain. Graphical representations are utilized to depict the numerical outcomes of many physical fields, including temperature, stress, displacement, chemical potential, carrier density, and current carrier distributions. These representations are generated for different values of time and depth of the semiconductor material. Ultimately, we receive a comparison between our model and several earlier fundamental models, which is then graphically represented.
Experimental demonstration of cyclotron emissions in micro-scale graphene structures
Authors: Planillo Jordan , Grbovic Dragoslav , Alves Fabio 
Published: June 2024

AbstractA solid-state implementation of a cyclotron radiation source consisting of arrays of semicircular geometries was designed, fabricated, and characterized on commercially available graphene on hBN substrates. Using a 10 µm design radius and device width, respectively, such devices were expected to emit a continuous band of radiation spanning from 3 to 6 GHz with a power 3.96 nW. A peak emission was detected at 4.15 GHz with an effective array gain of 22 dB. This is the first known experimental measurement of cyclotron radiation from a curved planar graphene geometry. With scaling, it may be possible achieve frequencies in the THz range with such a device.
Probing the design principles of photosynthetic systems through fluorescence noise measurement
Authors: Maroudas-Sklare Naama , Goren Naama , Yochelis Shira , Jung Grzegorz , Keren Nir , Paltiel Yossi 
Published: June 2024

Abstract
Elucidating the energetic processes which govern photosynthesis, the engine of life on earth, are an essential goal both for fundamental research and for cutting-edge biotechnological applications. Fluorescent signal of photosynthetic markers has long been utilised in this endeavour. In this research we demonstrate the use of fluorescent noise analysis to reveal further layers of intricacy in photosynthetic energy transfer. While noise is a common tool analysing dynamics in physics and engineering, its application in biology has thus far been limited. Here, a distinct behaviour in photosynthetic pigments across various chemical and biological environments is measured. These changes seem to elucidate quantum effects governing the generation of oxidative radicals. Although our method offers insights, it is important to note that the interpretation should be further validated expertly to support as conclusive theory. This innovative method is simple, non-invasive, and immediate, making it a promising tool to uncover further, more complex energetic events in photosynthesis, with potential uses in environmental monitoring, agriculture, and food-tech.
Multimodal deep learning for dementia classification using text and audio
Authors: Lin Kaiying , Washington Peter Y. 
Published: June 2024

AbstractDementia is a progressive neurological disorder that affects the daily lives of older adults, impacting their verbal communication and cognitive function. Early diagnosis is important to enhance the lifespan and quality of life for affected individuals. Despite its importance, diagnosing dementia is a complex process. Automated machine learning solutions involving multiple types of data have the potential to improve the process of automated dementia screening. In this study, we build deep learning models to classify dementia cases from controls using the Pitt Cookie Theft dataset from DementiaBank, a database of short participant responses to the structured task of describing a picture of a cookie theft. We fine-tune Wav2vec and Word2vec baseline models to make binary predictions of dementia from audio recordings and text transcripts, respectively. We conduct experiments with four versions of the dataset: (1) the original data, (2) the data with short sentences removed, (3) text-based augmentation of the original data, and (4) text-based augmentation of the data with short sentences removed. Our results indicate that synonym-based text data augmentation generally enhances the performance of models that incorporate the text modality. Without data augmentation, models using the text modality achieve around 60% accuracy and 70% AUROC scores, and with data augmentation, the models achieve around 80% accuracy and 90% AUROC scores. We do not observe significant improvements in performance with the addition of audio or timestamp information into the model. We include a qualitative error analysis of the sentences that are misclassified under each study condition. This study provides preliminary insights into the effects of both text-based data augmentation and multimodal deep learning for automated dementia classification.
Outcomes among patients with chronic obstructive pulmonary disease after recovery from COVID-19 infection of different severity
Authors: Kwok Wang Chun , Chau Chi Hung , Tam Terence Chi Chun , Lam Fai Man , Ho James Chung Man 
Published: June 2024

AbstractWhile studies have suggested increased risks of severe COVID-19 infection in chronic obstructive pulmonary disease (COPD), the persistent and delayed consequences of COVID-19 infection on patients with COPD upon recovery remain unknown. A prospective clinical study was conducted in Hong Kong to investigate the persistent and delayed outcomes of patients with COPD who had COVID-19 infection of different severity (mild-moderate COVID-19 and severe COVID-19), compared with those who did not. Chinese patients with COPD ≥ 40 years old were recruited from March to September 2021. They were prospectively followed up for 24.9 ± 5.0 months until 31st August 2023. The primary outcome was the deterioration in COPD control defined as the change in mMRC dyspnea scale. The secondary outcomes included the change in exacerbation frequency and non-COVID-19 respiratory mortality (including death from COPD exacerbation or bacterial pneumonia). 328 patients were included in the analysis. Patients with mild-moderate and severe COVID-19 infection had statistically significant increased risks of worsening of mMRC dyspnoea scale by increase in 1 score from baseline to follow-up with adjusted odds ratios of 4.44 (95% CI = 1.95–10.15, p < 0.001) and 6.77 (95% CI = 2.08–22.00, p = 0.001) respectively. Patients with severe COVID-19 infection had significantly increased risks of increase in severe COPD exacerbation frequency with adjusted odds ratios of 4.73 (95% CI = 1.55–14.41, p = 0.006) non-COVID-19 respiratory mortality from COPD exacerbation or pneumonia with adjusted hazard ratio of 11.25 (95% CI = 2.98–42.45, p < 0.001). After recovery from COVID-19, worsening of COPD control from worsening of dyspnea, increase in severe exacerbation frequency to non-COVID-19 respiratory mortality (COPD exacerbation and pneumonia) was observed among patients with severe COVID-19. Mild to moderate COVID-19 was also associated with symptomatic deterioration.
MiR-503-5p alleviates peripheral neuropathy-induced neuropathic pain in T2DM mice by regulating SEPT9 to inhibit astrocyte activation
Authors: Guo Yuqing , Zeng Jingyang , Zhuang Yuanzhao , Jiang Changcheng , Xie Wenqin 
Published: June 2024

AbstractDiabetic peripheral neuropathy (DPN) is a common complication of type 2 diabetes mellitus (T2DM) that causes peripheral and autonomic nervous system dysfunction. Dysregulation of miRNAs plays a crucial role in DPN development. However, the role of miR-503-5p in DPN remains unknown. Herein, T2DM mice (db/db) were used as a DPN model in vivo, and astrocytes isolated from db/db mice were induced with high glucose levels as a DPN model in vitro. MiR-503-5p expression was analyzed using qRT-PCR. GFAP, MCP-1, and SEPT9 protein levels were analyzed using western blotting and immunofluorescence. Luciferase assays were performed to investigate the interaction between miR-503-5p and SEPT9. We found that miR-503-5p expression decreased in the spinal cord of DPN model mice and astrocytes treated with high glucose (HG). The db/db mice displayed higher body weight and blood glucose, lower mechanical withdrawal threshold and thermal withdrawal latency, and higher GFAP and MCP-1 protein levels than db/m mice. However, tail vein injection of agomiR-503-5p remarkably reversed these parameters, whereas antigomiR-503-5p enhanced them. HG markedly facilitated GFAP and MCP-1 protein expression in astrocytes, whereas miR-503-5p mimic or inhibitor transfection markedly blocked or elevated GFAP and MCP-1 protein expression, respectively, in astrocytes with HG. SEPT9 was a target of miR-503-5p. In addition, SEPT9 protein levels were found to be elevated in db/db mice and astrocytes treated with HG. Treatment with agomiR-503-5p and miR-503-5p mimic was able to reduce SEPT9 protein levels, whereas treatment with antigomiR-503-5p and miR-503-5p inhibitor led to inhibition of the protein. Furthermore, SEPT9 overexpression suppressed the depressing effect of miR-503-5p overexpression in astrocytes subjected to HG doses. In conclusion, miR-503-5p was found to alleviate peripheral neuropathy-induced neuropathic pain in T2DM mice by regulating SEPT9 expression.
Analysis of the clinical characteristics and risk factors associated with contralateral hip fracture after initial hip fracture in elderly patients: a retrospective cohort study
Authors: Zhao Liping , Tian Shoujin , Sha Weiping , Wang Liming , Xu Youjia 
Published: June 2024

AbstractFractures of the contralateral hip may easily occur in elderly patients after an initial hip fracture. The aim of this study was to investigate the clinical characteristics and major predisposing risk factors of contralateral hip fracture after initial hip fracture in the elderly, to provide a clinical basis for preventing contralateral hip fracture. The data of 1586 patients who had sustained first or second hip fractures and had been surgically treated in our department were retrospectively analyzed. Potential predictive factors for contralateral hip fracture and descriptive statistics associated with surgery (such as blood loss, operation time, and length of hospital stay) were recorded. Of these patients, 133 (8.4%) suffered contralateral hip fracture. The rates of contralateral fracture after femoral neck and intertrochanteric fracture were 5.4% and 10.7% respectively (P < 0.01). Fifty-four cases of contralateral hip fracture occurred within one year, an incidence of 40.6%, while 95 cases (71.4%) and 105 cases (78.9%) occurred within two and three years, respectively, with a interval duration of 21.6 months. The risk factors for contralateral hip fracture were found to be age, type of first fracture, bone mineral density, the Singh index, and concomitant internal medical diseases, which were found to be significantly associated with an increased risk of contralateral hip fracture in multivariate logistic regression analysis (P < 0.05). In conclusion, the presence of concomitant internal diseases, type of first fracture, bone mineral density, the Singh index, and age were found to be significant predictors of the risk of contralateral hip fracture in elderly patients after a first hip fracture.
Topological indices and patterns in iron telluride networks
Authors: Yang Hong , Hanif Muhammad Farhan , Siddiqui Muhammad Kamran , Hanif Muhammad Faisal , Ahmed Hira , Fufa Samuel Asefa 
Published: June 2024

AbstractThis paper explores the complex interplay between topological indices and structural patterns in networks of iron telluride (FeTe). We want to analyses and characterize the distinct topological features of (FeTe) by utilizing an extensive set of topological indices. We investigate the relationship that these indicators have with the network’s physical characteristics by employing sophisticated statistical techniques and curve fitting models. Our results show important trends that contribute to our knowledge of the architecture of the (FeTe) network and shed light on its physiochemical properties. This study advances the area of material science by providing a solid foundation for using topological indices to predict and analyses the behavior of intricate network systems. More preciously, we study the topological indices of iron telluride networks, an artificial substance widely used with unique properties due to its crystal structure. We construct a series of topological indices for iron telluride networks with exact mathematical analysis and determine their distributions and correlations using statistical methods. Our results reveal significant patterns and trends in the network structure when the number of constituent atoms increases. These results shed new light on the fundamental factors that influence material behavior, thus offering a deeper understanding of the iron telluride network and may contribute to future research and engineering of these materials.
Prevalence and predictive value of sarcopenia in hospitalized patients with ischemic colitis
Authors: Ahn Byoung Chan , Sagong Min , Kim Jeongseok , Park Myeongsoon , Bae Jinmok , Lee Jin Wook , Lee Yoo Jin , Lee Ju Yup , Jang Byung Kuk , Chung Woo Jin , Cho Kwang Bum , Hwang Jae Seok 
Published: June 2024

AbstractIschemic colitis (IC) and sarcopenia are associated with aging and multiple comorbidities. We aimed to investigate the prevalence and predictive role of sarcopenia in patients with IC. We retrospectively analyzed 225 hospitalized patients (median age, 72 years; women, 67.1%; severe IC, 34.2%) who were diagnosed with IC between January 2007 and February 2022. Sarcopenia was defined as the skeletal muscle index at the third lumbar vertebra determined by computed tomography. It was present in 49.3% (n = 111) of the patients and was significantly associated with severe IC compared to those without sarcopenia (48.6% vs. 20.2%, P < 0.001). Sarcopenia was associated with extended hospitalization (median: 8 vs. 6 days, P < 0.001) and fasting periods (4 vs. 3 days, P = 0.004), as well as prolonged antibiotic use (9 vs. 7 days, P = 0.039). Sarcopenia was linked to a higher risk of surgery or mortality (9.0% vs. 0%, P = 0.001) and independently predicted this outcome (odds ratio [OR], 11.17; 95% confidence interval [CI], 1.24‒1467.65, P = 0.027). It was prevalent among hospitalized patients with IC, potentially indicating severe IC and a worse prognosis. This underscores the importance of meticulous monitoring, immediate medical intervention, and timely surgical consideration.
A Mendelian randomization study between metabolic syndrome and its components with prostate cancer
Authors: Xia Long , Yu Xiao-dong , Wang Li , Yang Lin , Bao Er-hao , Wang Ben , Zhu Ping-yu 
Published: June 2024

AbstractPrevious research has produced inconsistent findings concerning the connection between metabolic syndrome and prostate cancer. It is challenging for observational studies to establish a conclusive causal relationship between the two. However, Mendelian randomization can provide stronger evidence of causality in this context. To examine the causal link between a metabolic composite and its components with prostate cancer, we performed a two-sample Mendelian randomization (MR) study utilizing aggregated data from genome-wide association studies, followed by meta-analyses. In our study, we employed inverse variance weighting as the primary method for MR analysis. Additionally, we assessed potential sources of heterogeneity and horizontal pleiotropy through the Cochran’s Q test and MR-Egger regression. Moreover, we used multivariate MR to determine whether smoking versus alcohol consumption had an effect on the outcomes. We found no causal relationship between metabolic syndrome and its components and prostate cancer(MetS, odds ratio [OR] = 0.95, 95% confidence interval [CI] = 0.738–1.223, p = 0.691; TG, [OR] = 1.02, 95%[CI] = 0.96–1.08, p = 0.59); HDL, [OR] = 1.02, 95% [CI] = 0.97–1.07, p = 0.47; DBP, [OR] = 1.00, 95%[CI] = 0.99–1.01, p = 0.87; SBP, [OR] = 1.00, 95%[CI] = 0.99–1.00, p = 0.26; FBG [OR] = 0.92, 95%[CI] = 0.81–1.05, p = 0.23; WC, [OR] = 0.93, 95%[CI] = 0.84–1.03, p = 0.16). Finally, the MVMR confirms that the metabolic syndrome and its components are independent of smoking and alcohol consumption in prostate cancer. We didn’t find significant evidence to determine a causal relationship between the metabolic syndrome and its components and prostate cancer through MR analysis. Further research is necessary to explore the potential pathogenesis between the two diseases.