bluuebunny/crossref_metadata_2025_split huggingface dataset:
Super efficient geodesics in the complex of curve
Authors: Jin Xifeng , Menasco William 
Published: January 2024

Abstract
We introduce a subclass of the efficient geodesics, called super efficient geodesics, that the bound of intersection number in the initial efficiency only depends on the genus of surface. For any two vertices, v,w ∈ C(Sg), in the complex of curves of a closed oriented surface of genus g ≥ 2, and any efficient geodesic, v = v1, · · · , vd = w, it was previously established by Birman, Margalit and the second author [5] that there is an explicitly computable list of at most d(6g−6) candidates for the v1 vertex. In this note we establish a bound for this computable list for the super efficient geodesics that is independent of d-distance and only dependent on genus. The proof relies on an intersection growth inequality (IGI) between the intersection number of two curves and their distance in the complex of curves, together with a thorough analysis of the dot graph associated with the intersection sequence.
An external mount for F-Tool for maintained reduction of shaft fractures
Authors: Chabihi Zakaria , Nouidi Nizar , Demnati Brahim , Benhima Mohamed Amine , Abkari Imad 
Published: January 2024

Abstract
Introduction
Achieving accurate alignment in operative fracture treatment is crucial. Various techniques, including external maneuvers, traction devices, and intramedullary devices, aim to accomplish this while preserving fracture hematoma and promoting biological healing. However, these methods often require extended maintenance of reduction and raise concerns about radiation exposure. This study was inspired by the F-tool and aimed to develop an external mount system to maintain fracture reduction throughout the procedure, mitigating risks associated with existing techniques.
Methods and Materials
The F-tool, a modular set of stainless-steel rods forming an F-shape for fracture reduction, served as the basis for our design. Using FreeCAD software, a CAD model was created for the external mount system. The system comprised a reduction-maintaining component and a static part, with 3D resin slicers used for model preparation and FEM modeling for mechanical stress analysis.
Results
The developed external mount system consists of a dual-sided pole for reduction maintenance and various rods with clamps for attachment to the surgery table or floor. Mechanical stress simulations indicated promising stiffness. Different assembly configurations, including C-shaped or L-shaped static parts, were designed to prevent C-arm interference during procedures.
Discussion
Existing techniques for fracture reduction pose challenges such as prolonged maintenance of reduction and radiation exposure. The novel F-tool mount system addresses these issues by offering maintained reduction, low radiation exposure, and minimal surgical morbidity at a low manufacturing cost.
Comparative analysis with established techniques highlights the F-tool mount's advantages in providing consistent, controlled reduction without extensive manual manipulation or invasive procedures. The system aims to streamline the reduction process, potentially reducing operative duration and risks associated with longer procedures or nonunion rates reported with some techniques.
Rapid Ultrasensitive and Specific BNP Biosensor with LED Readout
Authors: So Seth , Quiñones Jorge Torres , Kim Soonkon , Choi Byoungdeog , Yun Minhee 
Published: January 2024

Abstract
Biosensing for diagnostics has risen rapidly in popularity over the past decades. With the discovery of new nanomaterials and morphologies, sensitivity is being constantly improved enough for reliable detection of trace biomarkers in human samples, like serum or sweat. This precision has enabled detailed research on the efficacy of biosensors. However, current biosensors suffer from reduced speed of operation. To make better use of this sensitivity, the development of a conductometric biosensor with in-situ use of an LED display can provide rapid determination of sample results, steadily pushing biosensors toward more clinical, point-of-care (POC) applications. In this research, a simple LED (laser emitting diode) was used for facile optical determination and visual output of an ultrasensitive bio-signal amplification circuit was made to interface with a b-type natriuretic peptide (BNP) biosensor. Tuning circuit gain enables an elegant method for adjustable separation of concentrations into 3 discrete categories: sub-threshold, analog, and saturation regions. These regions corresponded to 0 < [C] < 500 pg/mL (LED off), 500 < [C] < 1000 pg/mL (LED varying intensity), and 1000 pg/mL < [C] (LED full intensity). System efficacy was tested using human blood serum samples from University of Pittsburgh Medical Center patients, which were able to be accurately detected and sorted for rapid lo-fi. determination without need for complex digital elements. Additional specificity testing suggests insignificant impact of non-target biomarkers.
RETRACTED: Grain-sized moxibustion enhances anti-tumor immunity of tumor cell lysate vaccine by inhibiting β-adrenergic signal pathway
Authors: Shen Weiming , Hu Dan , Gong Chenyuan , Fang Cheng , Luo Jiaojiao , Wang Lixin , Yao Chao , Wu Huangan , Zhao Chen , Zhu Shiguo 
Published: January 2024

Abstract
The authors have requested that this preprint be removed from Research Square.
Does the digital economy impact the green transformation of manufacturing industry? A Spatial Econometric Analysis Based on Panel Data of Chinese Cities
Authors: DONG CHI , LIANG YUAN YUAN 
Published: January 2024

Abstract
In the context of the dual carbon target and the evolving green development stage, the digital economy emerges as a crucial catalyst for the green transformation of the manufacturing industry. This paper meticulously investigates the impact of the digital economy on the green transformation of manufacturing, employing panel data sourced from 263 Chinese cities spanning the period from 2011 to 2019. The key findings are as follows: (1) The digital economy significantly propels the green transformation of the manufacturing industry. Importantly, after a series of robustness tests, the conclusion remains significant. (2) Through spatial spillover effects, the digital economy plays a pivotal role in fostering the green transformation of manufacturing in neighboring regions. (3) The positive impact of the digital economy on the green transformation of the manufacturing industry is particularly pronounced in non-resource cities, central cities, and pilot cities of big data pilot zones. (4) Financial development exhibits a negative moderating effect on the green transformation of the manufacturing industry, whereas urban innovation potential demonstrates a positive moderating effect. Our findings offer empirical insights that contribute to a deeper understanding of how the manufacturing industry navigates the path of green transformation in the wake of the digital economy's development.
Detecting Methane Emissions from Space in India: analysis using EMIT and Sentinel-5P TROPOMI datasets
Authors: Siddiqui Asfa , Halder Suvankar , Kannemadugu Hareef Baba Shaeb , Prakriti  , Chauhan Prakash 
Published: January 2024

Abstract
Methane (CH4) is a potent greenhouse gas and the second highest anthropogenic emissions are recorded from CH4 on Earth. Considering its high global warming potential, the monitoring of source locations is inadvertent. The paper presented here is the first attempt (to the best of our knowledge) to comprehensively analyse the methane emissions over multiple Indian locations using satellite data. It outlays a brief background of methane emission sensors and studies carried out worldwide for estimation of the GHG. It further enumerates the potential of Jet Propulsion Laboratory’s Earth Surface Mineral Dust Source Investigation (EMIT) and TROPOMI in highlighting the potential point sources of methane emissions and its concentration/emission flux in India. 17 unique plumes were identified using EMIT in states of Maharashtra (06), Rajasthan (04), Punjab (02), Gujarat (03) and Assam (02). Gujarat, Surat, Assam Uttar Pradesh and Haryana using TROPOMI were also studied. The hotspots showcase emission sources from solid waste landfill sites (SW), sewage treatment plant (STP), wetlands/marshy agriculture (WT), city sewage outlet (CS), oil and gas field (O&G), oil refinery (OR) and textile industry (TI). It was observed that EMIT can effectively be used for point source identification, monitoring and enhancement while TROPOMI is best suited for regional level methane monitoring. A sewage outlet (SO) plume in Maharashtra produced the maximum emission of 6202.9 ± 691.94 kg/hr followed by solid waste (SW) sites located in Pirana Landfill, Ahmedabad and Khajod Landfill, Surat in Gujarat. Methane monitoring is an important step towards mitigating enormous methane emissions and anomalous methane sources.
Criteria for periodic elements forming a subgroup within a locally compact
Authors: Gouiaa Marwa 
Published: January 2024

Abstract
An element g in G is referred to as a compact element or periodic element if g is contained within a compact subgroup of G. We denote the set of all periodic elements of G as comp(G). An evident criterion stated in the title is: comp(G) is a subgroup if and only if comp(G) is closed under multiplication. Another criterion can be given in terms of periodicity. Hence, the main aim of this note is to demonstrate that the closure of comp(G) under multiplication is equivalent to the condition that every comp(G)-periodic element is periodic.
1991 Mathematics Subject Classification. 22D05, 54B20.
Protective effect of high-intensity interval training and moderate-intensity continuous training with quercetin supplementation on the apoptosis cardiomyopathy related factors in the diabetic cardiac of obese rats
Authors: Khajehlandi Mojdeh , Bolboli Lotfali 
Published: January 2024

Abstract
Quercetin has significant antidiabetic effects and may help decrease blood glucose levels and increase insulin sensitivity. Therefore, this study aimed to investigate the effect of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) with quercetin supplementation on apoptosis cardiomyopathy-related factors in the diabetic cardiac of obese rats. In this experimental study, 35 adult male rats were divided into 7 groups: healthy control (HC, n = 5), diabetic control (DC, n = 5), diabetic quercetin control (DQC, n = 5), diabetic HIIT (DHT, n = 5), diabetic MICT (DMT, n = 5), DHIIT with quercetin supplementation (DQHT, n = 5) and DMICT with quercetin supplementation (DQMT, n = 5). Rats were fed a high-fat diet (HFD) for 8 weeks and treated with a unique dose of streptozotocin (25 mg/kg i.p.) to create a model of type 2 diabetes mellitus (T2DM). Eight weeks of HIIT and MICT with and without quercetin were performed for the intervention groups, and quercetin supplementation was administered during the 8 weeks. One-way analysis of variance with Tukey’s post-hoc test with a significance level of (P < 0.05). The findings showed that the protein content of AKT and PI3K significantly decreased, but FOXO3 protein content, caspase-8 gene expression, and blood glucose as well as inflammatory markers levels significantly increased (P < 0.05) by inducing DM. Eight weeks of quercetin supplementation, HIIT, and MICT training with and without quercetin supplementation significantly decreased blood glucose levels (P < 0.05). Just 8 weeks of HIIT and MICT training protected the protein content of PI3K, AKT, and caspase-8 gene expression, especially when combined with quercetin supplementation (P < 0.05). Quercetin and both training protocols improved inflammatory markers and lipid levels (P < 0.05). These changes were more effective when training protocols were combined with quercetin supplementation. Therefore, blood glucose decrease and improvement in inflammatory markers and lipid levels by quercetin injection is a promising template for developing new antidiabetic drugs. Therefore, although apoptosis was increased in the heart of diabetic rats, both exercises, especially when combined with quercetin, played a critical role in diabetic cardiomyopathy treatment by modulating the FOXO3 and PI3K/AKT pathways.
Characterization of the Temporal Stability of ToM and Pain Functional Brain Networks Carry Distinct Developmental Signatures during Naturalistic Viewing
Authors: Bhavna Km , Ghosh Niniva , Banerjee Romi , Roy Dipanjan 
Published: January 2024

Abstract

A temporally stable functional brain network pattern among coordinated brain regions is fundamental to stimulus selectivity and functional specificity during the critical period of brain development. Brain networks that are recruited in time to process internal states of others’ bodies (like hunger and pain) versus internal mental states (like beliefs, desires, and emotions) of others’ minds allow us to ask whether a quantitative characterization of the stability of these networks carry meaning during early development and constrain cognition in a specific way. Previous research provides critical insight into the early development of the ToM network and its segregation from the Pain network throughout normal development using functional connectivity. However, a quantitative characterization of the temporal stability of ToM networks from early childhood to adulthood remains unexplored. In this work, using a large sample of children (n=122, 3–12 years) and adults (n=33), we addressed this question based on their fMRI data during a short and engaging naturalistic movie-watching task. The movie highlights the characters’ bodily sensations (often pain) and mental states (beliefs, desires, emotions), and is a feasible experiment for young children. Our results tracked the change in temporal stability using an unsupervised characterization of ToM and Pain networks dFC patterns using Angular and Mahalanobis distance between dominant dynamic functional connectivity subspaces. Our findings reveal that both ToM and Pain networks exhibit lower temporal stability as early as 3 years and gradually stabilize by 5 years, which continues till adolescence and late adulthood (often sharing similarity with adult dFC stability patterns). Further, we find that the temporal stability of ToM brain networks is predictive of participants’ task performance in the false-belief task to access mentalization at an early age. Interestingly, higher temporal stability is predictive of the pass group, and similarly, moderate and low temporal stability are predictive of the inconsistent group and the fail group. Our findings open an avenue for applying the temporal stability of dFC subspaces of large-scale functional brain networks during cortical development to act as a biomarker for multiple developmental disorders concerning impairment and discontinuity in the neural basis of social cognition.
Real-time analysis of swimming training state based on adaptive filtering and swarm intelligence algorithm
Authors: Hao Jun 
Published: January 2024

Abstract
Through the sports monitoring system, can help athletes timely grasp their daily sports activities, however, the existing monitoring system still has some shortcomings. To solve this problem, we use the combination of adaptive filtering and swarm intelligence algorithm to design, and realize the real-time analysis of athletes' motion state. The filtering algorithm used in this paper is based on the filtering of the previous time, and realizes the adaptive updating of the filtering parameters of the next time without manually adjusting the parameters. The effectiveness of this method is verified by experiments, and the results are good. Because of its easy implementation and strong robustness, swarm intelligence algorithm can be used to solve a variety of complex combination problems. It can be seen from the results of system monitoring that the system can easily record and monitor their own swimming data, and develop reasonable training programs based on the data. Coaches and athletes can use this data as a basis for training and analysis, and then improve the athletes' swimming skills and competitive performance.
Evaluation of the effectiveness of in-hospital exercise rehabilitation in middle-aged and elderly patients with type 2 diabetes mellitus combined with sarcopenia Effect of lifestyle management on disease status in patients with type 2 diabetes mellitus
Authors: Shi Jianhua , Yin Gaojun , Shi Zhiyun , Zhang Shengjun , Wei Jing , Xue Tao , Su Xiaoqian 
Published: January 2024

Abstract

The aim of this study was to explore the effects of in-hospital exercise rehabilitation on glucose and lipid metabolism and healthy physical fitness in middle-aged and elderly patients with type 2 diabetes mellitus (T2DM) combined with sarcopenia, and to provide a reference for the effective implementation of exercise rehabilitation for middle-aged and elderly patients with T2DM combined with sarcopenia in healthcare institutions. This study retrospectively included 122 patients with T2DM combined with sarcopenia treated at the General Hospital of Ningxia Medical University from August 2017 to August 2020 and randomly divided into a control group and an experimental group. The control group was given conventional treatment and the experimental group was given exercise rehabilitation in the hospital for 12 weeks to compare the indexes related to glucose and lipid metabolism and healthy fitness in the two groups. After the intervention, the experimental group showed significant decreases in fasting blood glucose (FPG), glycated haemoglobin (HbA1c), insulin resistance index (HOMA-IR), triglycerides (TG), total cholesterol (TC), low-density cholesterol (LDL-C) and body fat percentage (P < 0.05), while high-density cholesterol (HDL-C), grip strength, lower limb extension, lower limb flexion, peak oxygen uptake were significantly higher (P < 0.05) and were more significant at 12 weeks compared to the 6-week intervention (P < 0.05). However, there were no significant changes in any of the glucose metabolism indicators in the control group before and after the intervention. A two-way repeated measures ANOVA showed that at control baseline levels, HbA1c decreased significantly in the experimental group after both 6 and 12 weeks of intervention compared to the control group (p < 0.05). After 6 weeks of intervention, the experimental group showed a significant decrease in body fat percentage and a significant increase in grip strength. After 12 weeks of intervention, the experimental group showed an increase in glycaemic control from 33.3–73.3%, a significant decrease in body fat percentage and a significant increase in grip strength, lower limb extension and lower limb flexion strength and peak oxygen uptake. In-hospital exercise rehabilitation can effectively improve the glycaemic and lipid profiles of patients with T2DM combined with sarcopenia and enhance their health fitness, with good clinical rehabilitation effects.
Developing an Assistive Technology for Visually Impaired Persons: Ethiopian Currency Identification
Authors: Alamirew Samuel , Kebede Getnet 
Published: January 2024

Abstract
In this study an innovative assistive technology designed to empower visually-impaired individuals by providing them with the means to independently identify Ethiopian banknotes. Visually-impaired individuals often face challenges in recognizing and differentiating between currency denominations, hindering their financial independence and day-to-day transactions. To address this issue, we developed a novel device that attaches to standard eyeglasses and leverages state-of-the-art deep learning techniques for real-time banknote detection and recognition. An extensive dataset comprising over 15,000 annotated images of five Ethiopian birr denominations (5, 10, 50, 100, and 200 Birr) was used for training. YOLOv5 was selected as the best-performing model, attaining a mAP of 97.9%. Additionally, the study compared YOLOv5 with other popular object detection models such as SSD_MobileNet_v2 and Faster_RCNN_Inception_v2. YOLOv5 outperformed the other models in terms of both accuracy and speed. The research goes beyond the development of the device and extends to the user interface, introducing a mobile application named "Genzebe." This application seamlessly integrates with their device, allowing users to capture images of banknotes, which are then processed for denomination recognition. The application has audio output of denomination to the user. By making use of cost-effective hardware components, including a Raspberry Pi and a Pi Camera, the device is implemented and demonstrated as a practical solution that could significantly enhance the autonomy and financial inclusivity of visually-impaired individuals. In conclusion, this work showcases a highly effective and user-friendly solution for identification of Ethiopian currency.
Comparison Behaviour of Dune Sand with Reference Sands Using Direct Shear Tests
Authors: Dehkordi Pezhman Fazeli , Berga Abdelmadjid , BOUDIA Amel 
Published: January 2024

Abstract
The rapid increase in sand consumption, in the road sector and in building construction, is such that serious supply problems are currently posed in some countries. These problems are all the more crucial as the dune sands (due to the quality and abundance in arid regions and the other desert areas). The main objective of this study is to determine the geotechnical properties of dune sand as local materials to reduce the price of building materials. Different dune sand samples were used and their physical, mechanical and chemical properties were also examined. The properties of the dune sand were compared with standard sands to show its ability and advantage. The results show that dune sand has geotechnical and mineralogical characteristics closest to Standard sand. Results can be used to improve the geotechnical properties of dune sand as building materials.
The association of hyperlipidemia and statins use with kidney stones: a cross sectional study of the National Health and Nutrition Examination Survey
Authors: Zhou Yinglin , Hu Lei , Zhang Yu , Wang Chongyi , Liu Xuehua , Zhang Qiuhong , Wang Zhichao , Cao Jiadong , Zhou Jianfu , Xiang Songtao 
Published: January 2024

Abstract
Objective
To examine the association between hyperlipidemia and kidney stones, as well as whether statins use has favorable effects on kidney stones associated with hyperlipidemia risk factors.
Methods
A cross-sectional survey was performed by using data from 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) database. Information on the history of kidney stones and passing stones, lipid levels, and confounding factors were included. Multivariate logistic regression was conducted with serum lipid levels as the exposure and presence or recurrence of kidney stones as the outcome, including adjustment for confounders and subgroup analysis.
Results
Data from 7,305 participants were analyzed, and 9.43% of the participants had history of kidney stones. Lipid blood level was observed difference in gender and ethnicity. The incidence was lowest in Black with kidney stones, and Black men had lower TG levels and higher HDL-C levels than other races. Adjusted multivariate logistic regression results demonstrated that hyperlipidemia was significantly positively associated with kidney stones (OR 1.25, 95%CI: 1.02–1.54, P < 0.05) but not with recurrent kidney stones. Statins use was positively correlated with kidney stones among participants with hyperlipidemia.
Conclusions
In summary, our study not only finds that concentrations of serum lipid vary by sex and ethnicity in the US population with a history of kidney stones self-reported, but also establishes the link between hyperlipidemia and a higher risk of developing kidney stones among adults in the US. However, statins users do not benefit from reducing the risk of kidney stone with or without hyperlipidemia.