bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heterotopic Ossification After Anterior Cruciate Ligament Reconstruction With Quadriceps Tendon Autograft
Authors: Bragg Jack T. , Hayes-Lattin Madison , Shields Margaret V. , Salzler Matthew J. 
Published: February 2023

Case:
A 32-year-old healthy woman tore her right anterior cruciate ligament (ACL) and underwent reconstruction with quadriceps tendon autograft. Twelve weeks postoperatively, she had anterior thigh pain limiting knee flexion and a palpable mass in the anterior thigh. Imaging revealed a calcified mass near the graft site, concerning for heterotopic ossification (HO). After maturation of the heterotopic bone, she underwent debridement and HO removal.

Conclusion:
This is a case of HO at the quadriceps tendon autograft site after ACL reconstruction. When counseling patients, clinicians should be mindful of this possible complication and its treatment.
First Rib Stress Fracture in an Adolescent Elite Tennis Player
Authors: Wahle Charlotte F. , Hart Christopher M. , Beck Jennifer J. 
Published: February 2023

Case:
A 16-year-old, right-hand–dominant, Asian male, elite tennis player presented to the clinic with a 1-month history of left shoulder pain. Originally, the pathology was believed to be shoulder-based, but lack of improvement after several weeks of therapy warranted further imaging, which ultimately revealed a nondisplaced fracture of the posterior left first rib.

Conclusion:
Stress injuries are not uncommon in the sport of tennis, but atraumatic rib fractures are rare. Given the increase in youth sports specialization and overtraining and other risk factors such as adolescent age and race, it is important to keep rib stress fracture on the differential.
Gradual Traction Reduction With the Ilizarov Method for Tile C1.2 Old Pelvic Fracture
Authors: Chen Hua , Wang Jin-Chang , Tang Jun-Jun , Guo Hao , Zhang Qun , Tang Pei-Fu , Lu Hai-Bo , Hu Xing-Xing , Dou Mei-Jing 
Published: February 2023

Case:
A 20-year-old man with a Tile C1.2 pelvic fracture was treated with skeletal traction. After 3 months, the patient was unable to stand and walk, and the right lower limb was shortened by 7 cm. Radiographs showed that the sacroiliac joint dislocation was not reduced. Gradual traction reduction with the Ilizarov method was used to correct sacroiliac joint dislocation, and open internal fixation was performed. Postoperatively, the old pelvic fracture was successfully reduced without sacral plexus injury.

Conclusion:
Gradual traction reduction with the Ilizarov method can reduce the risk of sacral plexus injury and achieve satisfactory reduction of Tile C1.2 old pelvic fractures.
An automatic IoT based crop disease detection technique for early warning system using hybrid soft computing techniques
Authors: Venkatachalam Chandrasekar , Pandian N Rajesh , N Selvaganesh 
Published: February 2023

Abstract
The Indian economy is directly dependent on agricultural production. As the world grows and moves rapidly, identifying crop leaf diseases plays an important role in agriculture. Most of them are related to automation, and you also need to maintain the crop leaf with a little automation, and each crop has a specific need. To survive, it must be met, so companies need to develop systems that can communicate with their users. Currently, precision agriculture is being introduced to increase yields using the latest cutting-edge agriculture technology. An automatic disease detection system used to make instant and accurate decisions about plant diseases for farmers. This speeds up the diagnostic process. But in recent episodes, the show seemed a bit out of focus. One of these methods does not work well with the most important method, system diagnostics. In this paper, we propose an IoT based disease detection technique for crop using hybrid soft computing techniques (CDD-HSC). First, we segment the disease area from test leaf image using improved sunflower optimization (ISO) algorithm which is an important aspect for disease classification. Second, we introduce a multi-swarm snake optimization (MSSO) algorithm for optimal feature selection among multiple features in feature extraction stage. Then, we illustrates coach-learning induced capsule neural network (CL-CNN) for diseases classification in crop leaf with multi-classes. IoT concept used to transfer classification results to the corresponding former through mobile for immediate prevention in crop leaf diseases detecting, which limits the unwanted human delay. Finally, the performance of proposed CDD-HSC technique can analyze with different datasets and the results should sows the effectiveness of proposed method over existing methods in terms of accuracy, precision, F-measure and precision.
Clinical effects of continuity of nursing care for peripherally inserted central catheters among discharged cancer patients: A systematic review of randomized controlled trials
Authors: ye jindan , jin yawei , wang xiujuan , Tung Tao-Hsin 
Published: February 2023

Abstract
Background: The duration of peripherally inserted central catheter (PICC) retention can be shortened, and the likelihood of accidental extubation can increase if timely PICC maintenance is not performed after discharge. Furthermore, complications such as PICC blockage, phlebitis, and infection can occur without timely PICC maintenance after discharge. Therefore, providing PICC-catheterized individuals with continuous care after oncologic treatment is crucial. This systematic review and meta-analysis aimed to determine whether continuous care for patients with centrally located catheters can prolong catheter retention, enhance patients’ quality of life, and encourage healthy lifestyle practices.
Methods: The PRISMA criteria areguidelines for systematic reviews of relevant peer-reviewed literature. We conducted a randomized controlled trial to evaluate the effects of a continuum of care among patients with cancer. PubMed, the Cochrane Library, and Embase were searched for all relevant studies in English and Chinese until May 31, 2022. Two authors screened the included studies, evaluated eligible studies, and collected relevant data. They resolved any discordant opinions by asking for a senior editor's opinion. The Newcastle-Ottawa Scale tool was used for quality assessment, and the meta-analysis was performed using Review Manager version 5.3. A random-effects model was used when heterogeneitywas >50%. The estimates were expressed using hazard ratios and 95% confidence intervals (CI), and publication bias was assessed using funnel plots.
Results: This study included 21 papers (1420 in total were evaluated) in the systematic review. The PICC dwell time was recorded in 10 studies, three focused on quality of life, and six investigated healthy habits. Subgroup and sensitivity analyses were performed for the length of stay (mean difference (MD): 3.43; 95% CI [1.82, 5.04]) and health-promoting lifestyle profile (MD: 24.49; 95% CI [14.92, 34.05]) to reduce heterogeneity. However, these analyses had little impact on total heterogeneity.
Conclusions: This study observed that continuous care increased patients' quality of life, altered their manner of life, and extended PICC dwell time.
Tumor type and cell type-specific gene expression alterations in diverse pediatric central nervous system tumors identified using single nuclei RNA-seq
Authors: Lee Min Kyung , Azizgolshani Nasim , Shapiro Joshua , Nguyen Lananh , IV Fred Kolling , Zanazzi George , Frost Hildredth , Christensen Brock 
Published: February 2023

Abstract

Central nervous system (CNS) tumors are the leading cause of pediatric cancer death, and these patients have an increased risk for developing secondary neoplasms. Due to the low prevalence of pediatric CNS tumors, major advances in targeted therapies have been lagging compared to other adult tumors. We collected single nuclei RNA-seq data from 35 pediatric CNS tumors and three non-tumoral pediatric brain tissues (84,700 nuclei) and characterized tumor heterogeneity and transcriptomic alterations. We distinguished cell subpopulations associated with specific tumor types including radial glial cells in ependymomas and oligodendrocyte precursor cells in astrocytomas. In tumors, we observed pathways important in neural stem cell-like populations, a cell type previously associated with therapy resistance. Lastly, we identified transcriptomic alterations among pediatric CNS tumor types compared to non-tumor tissues, while accounting for cell type effects on gene expression. Our results suggest potential tumor type and cell type-specific targets for pediatric CNS tumor treatment. In this study, we address current gaps in understanding single nuclei gene expression profiles of previously uninvestigated tumor types and enhance current knowledge of gene expression profiles of single cells of various pediatric CNS tumors.
Relay Node Selection based on Adaptive Neuro- Fuzzy Inference System in Delay Tolerant Networks
Authors: semsarieh Fatemeh , Derakshanfard Nahideh 
Published: February 2023

Abstract
Delay tolerant networks (DTNs) are a type of mobile ad hoc network without the infrastructure in which a complete path from a source node to a destination does not exist always; so routing is the most important challenge in these networks. In recent years many routing methods in delay tolerant networks have been proposed. In previous methods, the copies were blindly forwarded to mobile nodes; finally, it caused a reduction in delivery rate and wasting of network resources. So it can be said choosing an appropriate relay node is an important challenge. In this paper, a novel Relay Node Selection by Adaptive Neuro-Fuzzy Inference System (SR-ANFIS) is proposed to improve the Delivery Ratio. In order to calculate the Chance of Receiving (CR), the parameters, Encounter Frequent (EF) to the destination, Selfishness Measure(SM), Closeness-Centrality (CC), Reach-Centrality (RC) are used as inputs of Adaptive Neuro-Fuzzy Inference System(ANFIS). Simulation results illustrate that the SR-ANFIS achieves better results in delivery ratio, delivery latency, message drop, overhead ratio and hop count than other exiting DTN routings.
Efficacy and Safety of ‘Dropless Vitrectomy Surgery’ and Comparison of Outcomes to Standard of Care Topical Therapy
Authors: CHALAM KAKARLA , Ahmed Harris 
Published: February 2023

Abstract
Objective/Background:
To compare the effectiveness of intravitreal injection of triamcinolone acetonide/moxifloxacin (Tri-Moxi) with the standard eye drop regimen for controlling postoperative inflammation, intraocular pressure, infections, macular thickness, and visual acuity (VA) in patients undergoing pars plana vitrectomy for various retinal disorders.
Subject/Methods:
In this retrospective longitudinal study, patients who underwent vitrectomy using intravitreal Tri-Moxi at the end of surgery (Group 1) were compared with those who received standard topical steroid antibiotics (Group 2) in terms of intraocular inflammation, intraocular pressure, and macular thickness based on optical coherence tomography.
Results
In total, 162 consecutive eyes (group 1 [81 eyes]; group 2 [82 eyes]) were included. VA improved by two lines in both groups at 90 days. In Group 1, preoperative VA (logMAR) was 0.92 (0.66) compared to 0.92 (0.75) in group 2 (p = 1), while at 3 months it was 0.61 (0.3) and 0.57 (0.3), respectively (p = 0.46). Group 1 showed superior outcomes with regard to central foveal thickness. The average central foveal thickness CFT ( µm) in group 1 preoperatively was 423 (95) and 348 (63) at 3 months compared to group 2 526 (109) and 306 (108) preoperatively and 3 months, respectively (p = 0.042). There was no statistically significant difference in the rate of elevated intraocular pressure between the two groups, and no cases of endophthalmitis were observed in either group.
Conclusions
Tri-Moxi is effective after vitrectomy and is not inferior to standard postoperative topical therapy.
Multimodal evoked potentials are useful for diagnosis of pediatric acute disseminated encephalomyelitis
Authors: JIN Mei , LIU JING , ZHANG MEIJIE , WANG YONGGANG , SUN SUZHEN 
Published: February 2023

Abstract
Background: The applying evoked potentials (EPs) to the diagnosis of acute disseminated encephalomyelitis (ADEM ) has not been investigated in detail. The aim of this study was to analyze multimodal evoked potentials in the early diagnostic value of pediatric ADEM.
Methods: Retrospective study enrolling pediatric ADEM patients and healthy controls (HCs) from neurology units between 2017 to 2021. They were measured with brainstem auditory evoked potentials (BAEPs), visual evoked potentials (VEPs) and somatosensory evoked potentials (SEPs), and then analyzed the early diagnostic value in ADEM patients.
Results: A total of 34 children with ADEM (mean age 6 years ; 23 males) and 30 HCs (mean age 6 years ; 17 males) were recruited.As magnetic resonance image (MRI) was the diagnostic criteria, the sensitivity, specificity and accuracy (κwas 0.88) of multimodal evoked potentials were highly consistent with those of MRI, the validity could be ranked in the following order with respect to the diagnosis of ADEM: multimodal evoked potentials＞single SEP＞single VEP＞single BAEP. Among 34 patients with ADEM, the abnormality of multimodal evoked potentials was 94.12％, while the abnormalities of single VEP, BAEP and SEP were 70.59％,64.71％and 85.3％,respectively, and there were significant differences between single VEP/BAEP and multimodal evoked potentials (c2=6.476/8.995, P=0.011/0.003).
Conclusion: The combined application of multimodal evoked potentials are superior to BAEP, VEP, or SEP alone in detecting the existence of central nerve demyelination, which would be applicable for the early diagnosis of ADEM.
Haplotype diversity of 17 Y-STR in the Iranian population
Authors: Eskandarion Mohammad Reza , Tabrizi Arash Alipour , Shirkoohi Reza , Raoofian Reza , Naji Masume , Pazhoomand Reza , Salari Hooman , Samadirad Bahram , Sabouri Alireza , Zohour Mostafa Montazer , Namazi Hadi , Baratieh Zohre , Farhadi Pegah , Sayyari Minoo , Dadgarmoghaddam Maliheh , Safdarian Esmat , Nikbakht Afrooz , Golshan Farnaz , Baybordi Fatemeh , Madhaji Elham , ShohodiFar Shadi , Tabasi Mohsen , Mohebbi Ramezan 
Published: February 2023

Abstract
In this study, we reported for the first time Y chromosome haplotypes throughout Iran from 1097 unrelated Iranian males using the AmpFlSTRTM YfilerTM kit. 1094 out of the 1097 haplotypes identified were unique. The values of haplotype diversity (HD) and discriminating capacity (DC) were 1.00000 and 0.997, respectively. An analysis of genetic distance was performed by the molecular variance (AMOVA) and multidimensional scaling plots (MDS), showing that a statistically was observed significant difference between the study population and previous data reported for other Iranian populations and other neighboring countries. The findings of the present study are likely to be useful for Forensic casework analysis and kinship investigations.
Picosecond laser trepan drilling of vertical sidewalls micro-holes for 631 stainless steel
Authors: Gu Zehui , He Yuyang , Ji Jinghu , Fu Yonghong 
Published: February 2023

Abstract
Ultrashort-pulse laser is widely used in drilling micro-hole (diameter<100μm) because of its higher energy density and less thermal effect. However, ultrashort-pulse laser drilling still has some defects, such as taper, poor entrance edge quality, etc. In this paper, the method of trepanning drilling was used to process micro-holes (the entrance diameter was about 55μm) on the stainless steel sheet (the thickness was 80μm) with a picosecond laser. The taper (7.63º ~ -1.8º) of the micro-hole was successfully adjusted by changing the laser angle of incidence (AOI) and laser energy. The experimental results showed that the entrance roundness increased from 85.2% to 94.1% with the increase of the AOI. In addition, the entrance roundness decreased with the rise of the laser fluence. Observing the hole wall surface showed that the remelts and micro-cracks on the hole wall surface increased with the increase of the AOI. The remelts and micro-cracks on the hole wall surface were obviously reduced when the laser fluence was increased. In summary, AOI and laser energy are essential parameters to adjust the geometric size of the hole. By optimizing the AOI and fluence parameters, the taper of the hole can be controlled (from positive taper to negative taper), and the morphology of the entrance and exit of the hole can be improved.
Evaluating YouTube as a Source of Patient Information for Pediatric Tracheostomy Care
Authors: DUYMAZ Yasar Kemal , Şahin Şamil , Erkmen Burak , Uzar Tuğçe , Önder Serap 
Published: February 2023

Abstract
Purpose:To evaluate YouTube's usefulness as a source of information concerning pediatric tracheostomy care.
Materials and Methods: On August 10, 2022, the top 50 YouTube search results for "pediatric tracheostomy care" were displayed. Each “video was evaluated by a jury of three otolaryngologists with at least 2 years of professional experience in pediatric otolaryngology using DISCERN, scoring system of Journal of the American Medical Association (JAMA), and the Global Quality Score (GQS).
Results:After exclusion criteria 24 videos were evaluated. Fifteen of the evaluated videos were produced by health professionals, and the other nine videos were produced by independent users. The average duration of the video was 337.5 seconds, varying between 82 seconds and 1364 seconds. The average Discern score of videos produced by health professionals was 38.9 ± 13, compared to 36.6 ± 14 for independent users. The mean JAMA score was 1.04 ± 0.68 for health professionals and 1.11 ± 0.94 for independent users. The GQS score was 2.82 ± 0.73 for health professionals and 3.19 ± 0.84 for independent users. There was no statistically significant difference between the two groups for Discern, JAMA, and GQS scoring.
Conclusion:YouTube does not seem to be a good option for parents to get useful information about pediatric tracheostomy care at this time. Health professionals should provide websites with high-quality materials to improve awareness of pediatric tracheostomy care.
High-pressure homogenization of gelatin Alteration of the physicochemical and interfacial properties of gelatin after high-pressure homogenization
Authors: Heidary Atiyeh , Soltanizadeh Nafiseh 
Published: February 2023

Abstract
The aim of the present study was to investigate the effects of high-pressure homogenization (HPH) on the functional, physicochemical, and structural properties of gelatin. Regarding this goal, gelatin was prepared at concentrations of 3, 6, and 9% and homogenized at 100 MPa via single, double, and triple passes. The FTIR and sulfhydryl content results indicated that HPH could destroy hydrogen bonds, leading to the protein unfolding after a single HPH cycle. Based on the CD spectroscopy, the structural packing of gelatin was altered after HPH treatment. Also, the bathochromic shift of gelatin λmax at UV spectra confirmed protein unfolding after a single pass. As a result of this process, the microstructure of gelatin gel was altered, and the pore shape changed from a polygon, a well-oriented shape to an unordered structure. The protein unfolding could increase emulsifying and foaming capacity and stability. In contrast, the strain sweep and temperature sweep of gels indicated that the HPH treatment of gelatin had an undesirable effect on gel strength and decreased the elasticity and viscosity of the gel. Therefore, HPH will be a promising method to promote the functional properties of gelatin for its application in the food industry.
Impact Analysis of Delayed Updates for Decentralized Federated Learning: A Delay-tolerant Training Strategy Perspective for Real-world Edge Intelligence
Authors: Zeng Yong , Liu Siyuan , Xu Zhiwei , Tian Jie 
Published: February 2023

Abstract
Decentralized Federated learning is a distributed edge intelligence framework by exchanging parameter updates instead of training data among participators, in order to retrain or fine-tune deep learning models in a peer to peer way. Considering the various topologies of edge networks, the impact of transmission delay of updates during model training is non-negligible for data-intensive intelligent applications at edge, e.g., intelligent medical services, automated driving vehicles etc.. To address this problem, we analyze the impact of delayed updates for decentralized federated learning, and provide a theoretical bound for these updates to achieve model convergence. In addition, we propose novel decentralized federated learning (delay-adaptive-DFL) to enhance the corporate strategy of edge computing devices. It releases the requirement for aggregating the model updates of edge devices in a fixed time period. Within the theoretical bound of updating period, the latest versions for the delayed updates are reused to continue aggregation, in case that the model parameters from a specific neighbor are not collected or updated in time. Regarding four neural network models, we implement experiments on a real-world test bed, and demonstrate that delay-adaptive-DFLis more efficient than the latest baselines.
A Systematic Review to Introduce the Most Effective Postbiotic Derived from Probiotics for Aflatoxin Detoxifications
Authors: Zamanpour Setayesh , Noori Seyyed Mohammad Ali , Yancheshmeh Behdad Shokrollahi , Afshari Asma , Hashemi Mohammad 
Published: February 2023

Abstract
Introduction: Aflatoxins are one of the most dangerous mycotoxins that have created challenges in the field of food safety. Different chemical, biological, and physical techniques were studied to detoxify aflatoxins in vegetable and animal foods. Among the biological methods is microbial detoxification. Some microorganisms, especially probiotic bacteria, play a key role in reduction of aflatoxin. Simultaneously with the remarkable progress in this field, the researchers got acquainted with the new concept of postbiotics, which explains to some extent the exact mechanism of detoxification of probiotics. The purpose of this study is to find the aflatoxin removal percentage by postbiotics and to find the most effective postbiotic. Materials and Methods: In this review article, studies that tested the effect of probiotics-derived postbiotics on aflatoxin detoxification in vitro were collected from databases. All the articles related to experimental studies were included in the study and the articles without full text or were not consistent with our study were excluded from the study. Results: It seems that out of all the postbiotics under investigation, the postbiotic derived from Lactobacillus kefiri, Lactobacillus kefiri, Lactobacillus rhamnosus, Lactobacillus rhamnosus, Saccharomyces cerevisiae probiotic bacteria is the most effective postbiotic with 97.22%, 95.27%, 86.2%, 81.4%, and 100% inhibitory effect against Aflatoxin B1, B2, G1, G2, and M1. Conclusion(s): Therefore, postbiotics derived from probiotic bacteria can be used as a safe anti-aflatoxin agent in a wide range of food products to control toxins and promote health.