bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial and temporal evolution and influencing factors of tourism eco-efficiency in Fujian province under the target of carbon peak
Authors: Wu Yizhen , Xu Anxin , Wang Chao , Shi Yuting 
Published: December 2023

AbstractTourism eco-efficiency is an important indicator to measure the sustainable development of tourism with the core objective of "minimum resource input and environmental damage, maximum economic and social output". This paper explores the spatial and temporal evolution characteristics of tourism eco-efficiency and its influencing factors in Fujian Province from 2011 to 2020 by combining the unexpected output Super-SBM model, gravity center model, standard deviation ellipse, and optimal parameters-based geographical detector model. The results are as follows. Tourism eco-efficiency in Fujian Province showed an overall fluctuating growth trend with an increase of 160.065% during the study period. The coefficient of variation of tourism eco-efficiency tends to fluctuate and decrease, and regional differences narrow. The spatial differentiation is remarkable, and it presents the spatial distribution characteristics of "Xiamen > Nanping > Quanzhou > Fuzhou > Longyan > Ningde > Sanming > Zhangzhou > Putian". The spatial pattern of tourism eco-efficiency is obvious in the direction of "northeast-southwest", and the trajectory of the center of gravity is "southwest-northeast-northwest", with spatial characteristics tending towards agglomeration. Tourism industry structure has the greatest impact on tourism eco-efficiency, followed by education level, urbanization level, technology innovation level, infrastructure investment, and economic development level. This study provides reference suggestions for improving tourism eco-efficiency which helps to promote adequate, balanced, and sustainable development of the regional tourism industry.
Agaricus bisporus polysaccharides ameliorate ulcerative colitis in mice by modulating gut microbiota and its metabolism
Authors: Liu Wen , Wang Liju , Yuan Qin , Hao Wei , Wang Yitao , Wu Dingtao , Chen Xiaojia , Wang Shengpeng 
Published: December 2023

Agaricus bisporus polysaccharides, especially low-molecular-weight fraction, represent novel prebiotics for treatment of inflammatory gastrointestinal diseases.
Joint AP‐user association and caching strategy for delivery delay minimization in cell‐free massive MIMO systems
Authors: Wang Rui , Shen Min , He Yun , Liu Xiangyan 
Published: December 2023

AbstractEdge caching at access points (APs) is a promising approach to alleviate the fronthaul burden and reduce user‐perceived delay. However, the edge caching placement is still challenging considering the coupling between caching and AP‐user association, limited fronthaul capacity, and multi‐AP deployment in the cell‐free (CF) massive MIMO systems. To this end, the authors establish a framework for the joint problem of AP‐user association and caching to minimize the content delivery delay which considers both cooperation delivery delay and radio access delay. It is an integer nonlinear programming problem and NP‐hard. The optimization problem is first decomposed into an AP‐user association sub‐problem and a caching placement sub‐problem to address this problem. A two‐stage matching algorithm is further proposed to achieve AP‐user association and a modified genetic algorithm to determine caching placement. A computationally efficient iterative algorithm is developed to solve the joint optimization problem. Finally, the global convergence and computational complexity of the proposed strategy are analyzed theoretically. Simulation results reveal that the proposed strategy can achieve better delivery delay performance than benchmark schemes.
Reliability of Neuronavigation in Localizing the Internal Acoustic Canal during Middle Fossa Approach
Authors: Kartum Tufan Agah , Kucukyuruk Baris , Kaya Alperen , Aydin Levent , Tanrıöver Necmettin , Sanus Galip Zihni 
Published: December 2023

Abstract
Objective The absence of precise landmarks in the middle fossa floor and frequent anatomical variations make it difficult to localize the internal acoustic canal (IAC) during the middle fossa approach (MFA). We aimed to investigate the reliability and utility of the neuronavigation system (NNS) in the MFA and to delineate specific technical considerations regarding NNS during the approach.
Method One-millimeter-thin section computed tomography scans were performed on five formalin-fixed human cadavers (10 sides). During the MFA, structures, such as the IAC, vestibule and cochlea hidden in the temporal bone were investigated under NNS guidance.
Results All the superficial landmarks, such as the foramen spinosum and ovale were correctly localized by NNS. Deeper landmarks, such as the central part of the IAC lying beneath the surface of the petrous apex could not be localized via NNS. The exact area of bone removal along roof of IAC was determined by using the orientation provided by the probe placed between the basal turn of cochlea and the vestibule. We were able to validate the location of the IAC via a medial to lateral drilling by using the navigation this reference point.
Conclusion The NNS can be used effectively during the MFA, and localizing superficial landmarks on the middle fossa floor with a higher accuracy may prove helpful in identifying the IAC from above. By referring to the cochlea–vestibule junctional area, the exact location of the trace of the IAC can be revealed.
An Improved and Scalable Synthesis of the Potent SREBP Inhibitor KK-052 via [3+2] Cycloaddition
Authors: Kittaka Atsushi , Kawagoe Fumihiro , Mototani Sayuri , Takemoto Yasushi , Uesugi Motonari 
Published: December 2023

AbstractKK-052 is a novel vitamin-D-based selective sterol regulatory element-binding protein (SREBP) suppressor that lacks vitamin D genomic activity mediated through the vitamin D receptor in both in vitro and in vivo settings. In our initial synthetic effort, KK-052 was produced as one of the structural isomers obtained via the Mitsunobu reaction involving a CD-ring allyl alcohol and 5-phenyl-1H-tetrazole. In this work, we present a refined methodology for enhancing the selective synthesis of KK-052 through a [3+2] cycloaddition between a CD-ring benzimidoyl chloride and sodium azide, a technique that proved amenable to gram-scale production. Additionally, this synthetic method permitted the production of a more potent m-methyl analogue of KK-052.
Clinical Outcome of Monochorionic Diamniotic Twins with Intrauterine Growth Restriction
Authors: Qiu Tian , Cheng Weiwei , Chen Yan , Guo Yuna , Shen Hong , Xu Liang 
Published: December 2023

Objective This study investigated the clinical outcome of monochorionic diamniotic (MCDA) twins with selective intrauterine growth restriction (sIUGR).
Study Design International Peace Maternal and Child Health Hospital of Shanghai ultrasound database was investigated to identify all MCDA delivered from January 2013 to December 2017. After identifying 43 pairs of MCDA twins with sIUGR and 282 pairs of normal MCDA twins, we compared clinical outcomes between the two groups.
Results Compared with normal twins, sIUGR fetuses had significantly shorter gestational age at delivery, smaller average birth weight of both twins, more significant intertwin difference in birth weight, lower Apgar scores, and higher intrauterine fetal demise (IUFD) rate, and smaller placental weight. The rate of abnormal umbilical cord insertions and abnormal blood flow in the ductus venosus (DV) and middle cerebral artery (MCA) is significantly higher in the sIUGR group. In addition, the subtype analysis of sIUGR groups indicated the poorest outcomes in type II with no significant difference between type I and III.
Conclusion MCDA twins with sIUGR generally exhibited limited clinical outcomes than normal MCDA twins. These limitations are mainly associated with abnormal umbilical cord insertions and blood flow in the DV and MCA. Clinical outcomes differed among the three types of sIUGR, with type II having the worst prognosis and the highest IUFD rate.
Key points
Clinical Manifestation and Treatment of Allergic Bronchopulmonary Aspergillosis
Authors: Agarwal Ritesh , Muthu Valliappan , Sehgal Inderpaul S. 
Published: December 2023

AbstractAllergic bronchopulmonary aspergillosis (ABPA) is a complex hypersensitivity reaction to airway colonization by Aspergillus fumigatus in patients with asthma and cystic fibrosis. The pathophysiology of ABPA involves a complex interplay between the fungus and the host immune response, which causes persistent inflammation and tissue damage. Patients present with chronic cough, wheezing, and dyspnea due to uncontrolled asthma. Characteristic symptoms include the expectoration of brownish mucus plugs. Radiographic findings often reveal fleeting pulmonary infiltrates, bronchiectasis, and mucus impaction. However, the definitive diagnosis of ABPA requires a combination of clinical, radiological, and immunological findings. The management of ABPA aims to reduce symptoms, prevent disease progression, and minimize the future risk of exacerbations. The treatment approach involves systemic glucocorticoids or antifungal agents to suppress the inflammatory response or fungal growth and prevent exacerbations. Biological agents may be used in patients with severe disease or glucocorticoid dependence. This review provides an overview of the clinical manifestations and current treatment options for ABPA.
Radiological Differential Diagnoses Based on Cardiovascular and Thoracic Imaging Patterns: Perspectives of Four Large Language Models
Authors: Sarangi Pradosh Kumar , Irodi Aparna , Panda Swaha , Nayak Debasish Swapnesh Kumar , Mondal Himel 
Published: December 2023

Abstract
Background Differential diagnosis in radiology is a critical aspect of clinical decision-making. Radiologists in the early stages may find difficulties in listing the differential diagnosis from image patterns. In this context, the emergence of large language models (LLMs) has introduced new opportunities as these models have the capacity to access and contextualize extensive information from text-based input.
Objective The objective of this study was to explore the utility of four LLMs—ChatGPT3.5, Google Bard, Microsoft Bing, and Perplexity—in providing most important differential diagnoses of cardiovascular and thoracic imaging patterns.
Methods We selected 15 unique cardiovascular (n = 5) and thoracic (n = 10) imaging patterns. We asked each model to generate top 5 most important differential diagnoses for every pattern. Concurrently, a panel of two cardiothoracic radiologists independently identified top 5 differentials for each case and came to consensus when discrepancies occurred. We checked the concordance and acceptance of LLM-generated differentials with the consensus differential diagnosis. Categorical variables were compared by binomial, chi-squared, or Fisher's exact test.
Results A total of 15 cases with five differentials generated a total of 75 items to analyze. The highest level of concordance was observed for diagnoses provided by Perplexity (66.67%), followed by ChatGPT (65.33%) and Bing (62.67%). The lowest score was for Bard with 45.33% of concordance with expert consensus. The acceptance rate was highest for Perplexity (90.67%), followed by Bing (89.33%) and ChatGPT (85.33%). The lowest acceptance rate was for Bard (69.33%).
Conclusion Four LLMs—ChatGPT3.5, Google Bard, Microsoft Bing, and Perplexity—generated differential diagnoses had high level of acceptance but relatively lower concordance. There were significant differences in acceptance and concordance among the LLMs. Hence, it is important to carefully select the suitable model for usage in patient care or in medical education.
The Role of Preprocedure Genetic Counseling in Pregnancies Interrupted for Fetal Abnormalities
Authors: Francoeur Alex A. , Kang Sung-Hae L. , Senaratne T. Niroshi , Saitta Sulagna , Murali Aparna , Peters Katharine , Hansman Emily , Chen Angela , Parvataneni Ram , Patil Rajita , Rible Radhika , Sridhar Aparna , Stoddard Amy , Zapata Mya , Krakow Deborah , Pluym Ilina D. 
Published: December 2023

Objective Congenital birth defects affect 3 to 5% of pregnancies. Genetic counseling can help patients navigate the testing process and understand results. The study objective was to identify predictors and utility of genetic counseling at the time of pregnancy termination. Additionally, we aimed to see what proportion of patients would benefit from additional testing based on the results of the genetic testing.
Study Design This was a retrospective cohort review of all terminations performed for fetal anomalies by an academic center from July 2016 to May 2020. Indications were stratified by abnormal serum screening or types of abnormal ultrasound findings. Data were abstracted regarding uptake of genetic counseling and testing results. Abnormal results that warranted additional testing regarding recurrence risks were noted. Multivariable logistic regression was performed to identify predictors of receipt of genetic counseling and testing.
Results Of 387 patients, 57% (n = 220) received preprocedure genetic counseling and 43% (n = 167) did not. Among patients who received diagnostic testing, 62% (n = 194) had genetic counseling compared with 38% (n = 121) without counseling (adjusted odds ratio 2.46, 95% confidence interval [1.41–4.29], p < 0.001). Among the entire cohort, 38% (n = 148) had suspected aneuploidy based on serum screening. Of these, 89% (n = 132/148) had definitive testing, 92% (n = 122/132) confirming the aneuploidy. Among the other 68% (n = 239) with structural anomalies, 76% (n = 183) had diagnostic testing with 29% (n = 53) yielding an abnormal result. Among those fetuses with structural anomalies, 36% (n = 19/53) of genetic diagnoses warranted additional parental testing because of risk of recurrence compared with only 2% (n = 2/122) of patients with abnormal serum screening results alone.
Conclusion Genetic counseling was associated with increased uptake of diagnostic testing, which yielded useful information and prompted additional testing. This is important for determining etiology and recurrence risk and should be offered to patients presenting for termination for fetal indications, as well as providing diagnostic closure for patients.
Key Points
Macrodystrophia Lipomatosa: A Rare Case of Ulnar Nerve Territory Involvement
Authors: Ullal Sonali , Arora Shivani 
Published: December 2023

AbstractMacrodystrophia lipomatosa (MDL) is a rare congenital, nonhereditary anomaly characterized by overgrowth of all the mesenchymal elements, predominantly the fibroadipose tissue in a sclerotomal distribution commonly involving the median nerve territory in the upper extremity and plantar nerve territory in the lower extremity. It can be either static or progressive, with the former being the more common. MDL is usually present since birth and the affected digit/region increases in length and girth, and growth ceases after puberty. We discuss a rare case of ulnar nerve territory involvement that progressed to grow even after puberty.
Incidence and Management of Neonatal Pneumothorax in a 10-Hospital Regional Perinatal Network in Switzerland: A Retrospective Observational Study
Authors: Baudat-Nguyen Julie , Schneider Juliane , Roth-Kleiner Matthias , Barrielle Laureline , Diebold Patrick , Duvoisin Gilles , El Faleh Ikbel , Grupe Silke , Huber Benedikt M. , Morel Anne-Sophie , Paccaud Yan , Torregrossa Anais , Younes Dany , Tolsa Jean-François , Truttmann Anita C. 
Published: December 2023

Objective Pneumothorax (PTX) is a potentially life-threatening condition that affects neonates, with an incidence of 0.05 to 2%. Its management includes conservative treatment, chest tube (CT) drainage, and needle aspiration (NA). Aims were to evaluate the incidence of PTX in a 10-hospital perinatal network, its clinical characteristics and risk factors, and to compare the different treatment options.
Study Design All neonates diagnosed with PTX and hospitalized in the network were included in this retrospective observational trial over a period of 30 months. Primary outcome was the incidence of PTX. Secondary outcomes were the treatment modality, the length of stay (LOS), and the number of chest X-rays.
Results Among the 173 neonates included, the overall incidence of PTX was 0.56 per 100 births with a large range among the hospitals (0.12–1.24). Thirty-nine percent of pneumothoraces were treated conservatively, 41% by CT drainage, 13% by NA, and 7% by combined treatment. Failure rate was higher for NA (37%) than for CT drainage (9%). However, the number of X-rays was lower for patients treated by NA, with a median of 6 (interquartile range [IQR] 4–6.25), than by CT drainage, with a median of 9 (IQR 7–12). LOS was shorter for NA than for CT drainage, with a median of 2 (IQR 1–4.25) and 6 days (IQR 3–15), respectively. Complications, including apnea and urinary retention, occurred in 28% of patients managed with CT drainage, whereas none was observed with NA.
Conclusion High variability of PTX incidence was observed among the hospitals within the network, but these values correspond to the literature. NA showed to reduce the number of X-rays, the LOS, and complications compared with CT drainage, but it carries a high failure rate. This study helped provide a new decisional management algorithm to harmonize and improve PTX treatment within our network.
Key Points
Simple tracking of occluded self-propelled organisms
Authors: Noto Daisuke , Ulloa Hugo N 
Published: December 2023

Abstract
Deepening our understanding of animals’ collective motions represents a multidisciplinary goal. Yet, quantifying the motions of hundreds of animals in the laboratory and nature posits a fundamental challenge for digital image processing: How do we track each object out of the crowd while allowing them to move freely in a three-dimensional (3D) domain? Here, we present a simple tracking strategy to reconstruct 3D trajectories with the aid of a mirror, even if moving objects experience occlusion. We explain the method using synthetically generated datasets and apply it to measure collective motions of phototactic zooplankton, Daphnia magna, swimming in a lab-scale aquarium at intermediate Reynolds numbers,

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. The method enables measuring statistics of characteristic features of D. magna swarm, including sinking velocities and flapping frequencies. Beyond the lab-scale animal tracking, we foresee further implementations of the method to study wild animals freely behaving in 3D environments irrespective of their species.
A novel unmanned aerial vehicle path planning approach: sand cat optimization algorithm incorporating learned behaviour
Authors: Hu Kun , Mo Yuanbin 
Published: December 2023

Abstract
Unmanned aerial vehicle (UAV) path planning plays an important role in UAV flight, and an effective algorithm is needed to realize UAV path planning. The sand cat algorithm is characterized by simple parameter setting and easy implementation. However, the convergence speed is slow, easy to fall into the local optimum. In order to solve these problems, a novel sand cat algorithm incorporating learning behaviors (LSCSO) is proposed. LSCSO is inspired by the life habits and learning ability of sand cats and incorporates a new position update strategy into the basic Sand Cat Optimization Algorithm, which maintains the diversity of the population and improves the convergence ability during the optimization process. Finally, LSCSO is applied to the challenging UAV 3D path planning with cubic B-spline interpolation to generate a smooth path, and the proposed algorithm is compared with a variety of other competing algorithms. The experimental results show that LSCSO has excellent optimization-seeking ability and plans a safe and feasible path with minimal cost consideration among all the compared algorithms.
AIR-CNN: a lightweight automatic image rectification CNN used for barrel distortion
Authors: Zhou Can , Zhou Canzong , Zhu Hongqiu , Liu Tianhao 
Published: December 2023

Abstract
Barrel distortions often exist in images captured by wide-angle lenses, and the presence of barrel distortions reduces the label-making accuracy of algorithms and the precision rate of final target detection and semantic recognition. To reduce the interference of barrel distortions on imaging, we have proposed a lightweight image rectification network automatic image rectification CNN (AIR-CNN) for barrel distortion. The network is based on a parameter sharing (PS) convolutional neural network structure, which is trained on the distorted image dataset to predict the pixel displacement field between the distorted image and the rectified image, and finally restores the rectified image based on the predicted pixel displacement field. The experimental results show that the AIR-CNN can greatly reduce the number of network parameters through the PS mechanism and implicitly learns the texture features by asymmetric convolution kernels to obtain higher rectification accuracy at a lower computational cost, and automatically obtain the distortion parameters of the camera without special calibration methods. The AIR-CNN outperforms previous image rectification methods in both intuitive and quantitative comparisons (EPE, PSNR, NRMSE, SSIM).
A step-by-step parameter-adaptive FMD method and its application in fault diagnosis
Authors: Wang Xiangrong , Li Congming , Tian Hongying , Xiong Xiaoyan 
Published: December 2023

Abstract
A newly proposed method, feature mode decomposition (FMD), can effectively enhance signal features while decomposing the signal. This feature is beneficial for analyzing weak vibration signals. However, the input parameters (the segment number K, the filter length L, and the mode number n,) significantly influence the decomposition performance and efficiency. Based on the analysis of filter properties and decomposition performance of the FMD method, a step-by-step parameter-adaptive FMD method is proposed. First, parameters K and L are optimized; second, the parameter n is determined. In addition, a comprehensive evaluation indicator, the ratio of sample entropy and ensemble kurtosis, is constructed considering both the periodic impact characteristics of fault signals and the noise intensity to create objective functions for each step. Compared with the methods of variational mode decomposition spectral kurtosis method and the wavelet packet decomposition, the proposed method exhibits better decomposition performance: the amplitude has increased by nearly ten times for the simulation data and six times for the actual engineering data, and three evaluation factors (the crest factor, the impulse factor, and the kurtosis) have higher value. Therefore, it can be concluded that the proposed method has better superiority in identifying weak periodic fault features.