bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solar thermal textiles for on-body radiative energy collection inspired by polar animals
Authors: Viola Wesley , Zhao Peiyao , Andrew Trisha 
Published: October 2022

Abstract
Humans use textiles for maintaining thermal homeostasis amidst environmental extremes but known textiles have limited thermal windows. There is evidence that polar-dwelling animals have evolved a different mechanism of thermoregulation by controlling radiative energy exchange with the environment using a combination of light-absorbing and heat-retaining materials. Here we design a textile to mimic these adaptations to optimize direct radiative collection on the body. Two ultralightweight fabrics with complementary optical functions, a nylon “absorber” coated with a strongly-colored conjugated polymer and a nonwoven polypropylene “transparent insulator,” perform the same putative function as polar bear skin and hair, respectively. While retaining familiar textile qualities, these layers suppress radiative dissipation of body heat and maximize radiative absorption of visible light. Exposed to a radiance of 650 W/m2, representative of wintertime sunlight at high latitudes, the textile supports thermal homeostasis as low as -28oC. With increasing pressures to adapt to a rapidly changing climate, our work leverages conjugated polymers to evolve one of the oldest and most basic commodities —textiles.
Investigating the Cytokine levels correlation with BMI and FEV1 in cystic fibrosis patients of Iran using ELISA and Real-time PCR
Authors: Movahed Mahtab Ghorban , Ali Ahya Abdi , Ghazanfari Tooba , Modaresi Mohammadreza 
Published: October 2022

Abstract
Cystic fibrosis (CF) is one of the most common autosomal recessive illnesses. Inflammatory responses, a lot of mucus in the respiratory system, and pulmonary and respiratory disorders are just a few of the issues these patients experience. Numerous research has been carried out to investigate cytokines in patients, but to the best of our knowledge, Iran has not provided any information on cytokine changes of CF patients. The purpose of our research was to investigate pro-inflammatory and anti-inflammatory cytokines in CF patients and analyzed the correlation of cytokines with each other’s and with FEV1and BMI in different microbial groups. In this study, 42 CF patients and 10 healthy people were examined to measure the levels of IL-10, IL-4, IFN-γ, IL-17, TGF-β, and IL-8 in serum and PBMC samples by ELISA and Real-time PCR methods. In the following, the patient's sputum samples were cultured in specific media and the relationship between cytokines and the microbiota was investigated. The results showed that patients had higher levels of IL-10, IL-4, and IFN-γ and lower levels of IL-17. There was a correlation between IL-10, IL-4, and IFN-γ in patients and by increasing IL-4, IL-10 and IFN-γ were increased. Patients with P. aeruginosa had higher levels of IL-10, IL-4, and IFN-γ, but there was no change in these markers in patients with other bacteria such as S. aureus, Acinetobacter, Citrobacter, Candida, and Klebsiella. TGF-β and IL-17 levels were reduced in patients with P. aeruginosa and other bacteria, respectively. However, in patients with microorganisms other than P. aeruginosa, FEV1 had a positive relationship with IL-8, and with an increase in FEV1, the level of IL-8 increased. This contrasts with the investigation of the relationship between cytokines and FEV and BMI, which did not show any relationship between the factors in patients with P. aeruginosa. Our study's findings revealed that CF patient's cytokines differed from those of the control group. As a result, it is possible to recommend using the studied cytokines as markers for disease modulation.
Incidence of febrile seizures in children with COVID-19
Authors: Han Min Jeong , Heo Jun Ho , Hwang Ji Seong , Jang Young-Taek , Lee Min , Kim Sun Jun 
Published: October 2022

Abstract
Purpose
This study aimed to investigate the incidence of febrile seizures (FS) associated with coronavirus disease 2019 (COVID-19) in children and examine the variation in these incidences after the Omicron surge.
Methods
The number of confirmed COVID-19 cases aged below 5 years residing in the Jeonbuk province from January 2020 to June 2022 was obtained from official data released by the Korean government. During the same period, data regarding FS patients with COVID-19 were obtained from all local hospitals capable of FS treatment in Jeonbuk. The data were analyzed retrospectively.
Results
The number of children under 5 years of age in Jeonbuk was 62,772, of which 33,457 (53.2%) were diagnosed with COVID-19 during the study period. Of these, 476 patients (1.4%) required hospitalization and 64 (0.19%, 44 boys: 20 girls) developed FS. Until 2021, before the Omicron surge, 23.4% of the patients (89 of 381) required hospitalization, but no children with COVID-19 were hospitalized for FS. However, after the Omicron surge in 2022, 16.5% of hospitalized children (64 of 387) experienced FS, despite the decline in hospitalization rates among COVID-19 patients (1.2%). Twenty-five patients (39.1%) had complex FS, and one (1.6%) presented with febrile status epilepticus. Forty-two patients (65.6%) experienced first-time FS, with an average of 1.5 convulsive events.
Conclusions
During the COVID-19 pandemic, the incidence of FS was approximately 0.19%; however, after the emergence of the Omicron variant, FS occurred more frequently and became more complex.
WHOOPH : Whale Optimization based Optimal Placement of Hub Node within a WBAN
Authors: Shukla Shubham , Choudhary Amit , Pandey Saroj Kumar , Sachan Vibhav Kumar , Kumar Pankaj 
Published: October 2022

Abstract
The biosensor nodes of a wireless body area network (WBAN) are implanted in distinct parts of a patient's body to monitor the body’s vital signs. Further, the WBAN nodes transmit the measured physiological data to a hub node. Hence, an optimal location for the placement of hub node turns out to be a crucial factor in determining the minimized node power consumption in data transmission. The currently adopted hub placement techniques are time-consuming as they sequentially place the hub at multiple locations on the patient’s body and estimate link reliability for each location. The best-performing location is selected for hub placement. The engagement of other WBAN nodes in the process of hub placement results in an undesirable loss of network energy too. This paper presents the Whale Optimization Algorithm (WOA) based hub placement scheme that directly gives the optimal hub node location and needs minimal involvement of other WBAN nodes during the process of hub placement. The presented scheme incorporates a population of whale search agents where each whale defines the random hub node coordinates. The fitness of whale search agents is estimated in terms of energy spent by the WBAN nodes in data transmission. The WOA-based model converges into an optimized search agent that determines the optimal location for hub placement. The resultant hub location minimizes the overall amount of energy consumed by the WBAN nodes for data transmission, which ultimately results in an elongated lifespan of WBAN operation. The performance results show that the proposed Hub placement scheme attains a significant increase in network stability and lifetime periods in comparison to the state-of-the-art related WBAN protocols. Additionally, the presented Hub placement scheme offers improved network throughput and latency characteristics.
Correlation between corrected QT interval combined with NLR and MACE events within one year in patients with Chronic Heart Failure
Authors: YU Xiaodong , REN Xiaoyi , LIU Meixia 
Published: October 2022

Abstract
Objective: To investigate the predictive value of corrected QT （QTc）interval and neutrophil to lymphocyte ratio (NLR) on major adverse cardiovascular events (MACE) in patients with chronic heart failure (CHF) within one year.
Methods: Retrospective in January 2018 to June 2021 in Hebei province people's hospital of cardiovascular internal medicine in hospital patients with CHF, MACE grouped according to whether the patients within 1 year, collect patients clinical data, electrocardiogram (ECG) index, other auxiliary examination and medications, for all the patients by telephone, follow-up outpatient care or electronic medical records, The incidence of MACE within 1 year after discharge was followed up. Multivariate Logistic regression analysis was used to explore the influencing factors of MACE events in patients within 1 year. ROC was used to analyze the predictive value of QTc interval NLR and their combination on the occurrence of MACE in patients with CHF within 1 year.
Results: A total of 622 patients were enrolled, including 371 in the MACE group and 251 in the non-MACE group. Compared with the non-MACE group, the MACE group had higher age, proportion of cerebral infarction, QRS duration, QT interval, QTc interval, neutrophil count, NLR, creatinine, treatments with beta-blockers, aldosterone antagonists rate， and lower admission heart rate, ventricular rate, lymphocyte count, and hemoglobin content (P＜0.05).Multivariate Logistic regression analysis showed that age, admission heart rate, QTc interval, NLR and beta-blocker use rate are the influencing factors of MACE events(P＜0.05). ROC analysis estimating the performance in predicting the occurrence of MACE within 1 year in patients with showed that the area under curve（AUC）of QTc interval, score was 0.652（95%CI：0.609-0.695，P＜0.001） with 0.624 sensitivity and 0.61 specificity when the optimal cut-off value was determined as 428.5，the AUC of NLR was 0.649（95%CI：0.605-0.692，P＜0.001）with 0.523 sensitivity and 0.738 specificity when the optimal cut-off value was determined as 4.016， and the AUC of QTc interval and NLR was 0.719（95%CI：0.678-0.760，P＜0.001）with 0.679 sensitivity and 0.695 specificity when the optimal cut-off value was determined as 0.583.
Conclusion: Prolongation of QTc interval and elevation of NLR may be independent risk factors for MACE in CHF patients within 1 year, and their combination can be used as predictors of MACE in CHF patients within 1 year.
Analysis of differences in screening results of neonatal ophthalmopathy between Neonatal Intensive Care Unit and Mother-infant Room Ward
Authors: Wang Gang , Fan Lu-Bo , Li Nai-Yang 
Published: October 2022

Abstract
Objective: To compare and analyze the differences in the results of neonatal ocular diseases screening in the Intensive Care Unit, and the Mother-infant ward in the same room of a general hospital.
Methods: The eye screening data of newborns were collected in Zhongshan City People's Hospital, from December 2018 to December 2021, using a digital wide-field fundus imaging system (RetCam3). The neonates were divided into Neonatal Intensive Care Unit group (NICU) and Mother-infant Ward group (Control Group) according to the ward in which the neonates were located. The differences in the results between the two groups were analyzed in the same manner. Results: A total of 7239 neonates completed eye examinations, of which 1200 (16.58%) had abnormal eyes. In the Control Group 5481 cases were screened. The result showed that 1000 cases (18.24%) with ocular abnormalities; 976 cases (17.80%) with retinal hemorrhage; and 24 cases (0.44%) with other abnormalities. 1758 cases in the NICU group were screened. Out of which 200 cases with ocular abnormalities (11.37%), 165 cases (9.38%) of retinal hemorrhage, 19 cases (1.10%) of retinopathy of prematurity (ROP), 6 cases of ROP were treated with intravitreal injection, and 16 cases (0.91%) of other abnormalities.
Conclusion: The rate of retinal hemorrhage was significantly lower in the NICU group than in the Control Group, but other congenital ocular abnormalities accounted for greater proportion of children in the NICU group. General newborn screening is conducive to the early detection and treatment of various eye diseases, reducing the missed diagnosis of eye diseases. For high-risk neonates in the NICU group, eye disease screening is more imperative.
Left coronary sinus of Valsalva aneurysm dissecting into interventricular septum: a case report
Authors: Zhang Lei , Ji Donghui , Li Xiaoyun 
Published: October 2022

Abstract
Sinus of Valsalva aneurysm is extremely rare. The ruptured sinus of Valsalva aneurysm is frequently associated with other congenital defects. If the aneurysm ruptures, it causes acute symptoms of dyspnea. We describe a case of a sinus Valsalva aneurysm originating from the left coronary sinus that ruptured into the interventricular septum, diagnosed with echocardiography and cardiac computed tomography, confirmed by operational findings
First report of genetic relationship and diversity among Moroccan and introduced rapeseed (Brassica napus l.) varieties as revealed by molecular markers
Authors: Houmanat Karim , Nabloussi Abdelghani , Rhazlaoui Yousra , Bahri Hakima , FECHTALI Mohamed EL , CHARAFI Jamal 
Published: October 2022

Abstract
Rapeseed (Brassica napus L.) crop can be a lever for the development of oilseed sector in Morocco due to its adaptation to local conditions and its major economic and food importance. Breeding is the key to the success of this crop and judicious choice of crossing parents is a prerequisite to the success of the selection program and the development of new varieties that perform better than the old ones. In this regard, genetic variation within the existing germplasm must be explored and characterized. Therefore, the present study was carried out to investigate the genetic diversity among 22 varieties from Morocco as well as other origins, using twenty ISSR primers. The selected primers have generated a total of 319 markers. Polymorphic amplified bands varied from 8 to18, with an average of 13 per primer. The diversity index (PIC) ranged from 0.295 to 0.509, with a mean value of 0.37 per primer, indicating a good genetic diversity level for the primers used. The average similarity coefficient was 0.31, fluctuating between 0.176 and 0.456, and the pairwise comparison of the studied varieties showed a great discriminating power of primers and a large genetic diversity among accessions. Hierarchical classification allowed identifying three groups with some phylogeographic structuring. This is the first report of molecular characterization of rapeseed germplasm in Morocco and Africa. The obtained results have important implications for management of this germplasm to conserve the existing genetic diversity and use it properly in breeding programs in Morocco as well as in other Mediterranean and African countries.
Phylogeographic patterns of Greater cane rat populations from East and West African regions inferred from maternal lineages
Authors: Kilwanila Shadia I. , Lyimo Charles M. , Rija Alfan A. 
Published: October 2022

Abstract
The African Greater Cane rat (AGC) populations in East and West Africa bear single ancestral origin. However, to date, information is lacking on their genetic differentiation due to long-time geographical isolation and the environmental and anthropogenic pressures the populations face in each region. This gap limits our ability to understanding potential speciation in these populations. We analysed the genetic sequences of cane rat samples from Tanzania and Ghana to characterize the phylogeographic patterns of the two populations based on the mt-DNA. The D-loop sequences used comprised samples collected from two Eastern Arc Mountains in Tanzania and three agro-ecological zones in Ghana. We found a high nucleotide diversity in AGC population from Tanzania (0.022±0.003) and low nucleotide diversity in Ghana (0.013±0.003). Analysis of Molecular variance (AMOVA) showed significant genetic differentiation between AGC population from Tanzania and Ghana (Fst=0.85938, p<0.00001). Further, analysing the genetic differentiation, we found high variation by 85.94% in AGC populations between Tanzania and Ghana and low variation (14.06%) within any AGC population at individual region. Reconstructing past history of the population in each region based on the neutrality test revealed a positive (0.006) Harpending’s raggedness index for Tanzania and negative (-0.009) for Ghana. Also, Tajima’s D was negative (-0.798) for Tanzania and positive (0.041) for Ghana, indicating that the population of Tanzania is increasing while the Ghanaian is decreasing. This is the first study to compare maternal lineages of the AGC population from two regions in Africa, and provides a basis for future studies.
A Hybrid Particle Whale Optimization Algorithm for Workflow Scheduling in Cloud-Fog-Mobile Computing Environment
Authors: Bansal Sumit , Aggarwal Himanshu 
Published: October 2022

Abstract
Cloud computing is the extensively used technology these days. Due to the usage of smart devices, a huge amount of data is produced. The processing of this data in real time is a big challenge for cloud servers. Fog computing is the solution for this, but fog has its own limitation in form of storage. To overcome, this cloud-fog architecture is preferred. In cloud-fog architecture, workflow scheduling is an open research area but finding an optimal algorithm is a major challenge. Some researchers proposed meta-heuristic algorithms to solve workflow scheduling issues but they are trapped locally and fails to give the global optimal solution. To solve workflow scheduling problems, we propose the PWOA algorithm, a hybrid of Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA). The goal of this algorithm is to minimize the Total Execution Time (TET) and Total Execution Cost (TEC) of dependent tasks in a cloud-fog-mobile computing environment. Because it uses the features of both the standard PSO and WOA algorithms, the proposed algorithm overcomes the trapping problem also. In this article, the simulation results were compared to standard PSO and WOA algorithms using several benchmarks of four different scientific workflows (Cybershake, Epigenomics, Inspiral, Montage, and Sipht) with different numbers of tasks assigned in the proposed algorithm performed better.
An Affordable and Fully Functional Bionic Claw Using Myoelectric Signals for Physically Challenged
Authors: Shankar Nathan , Bhagavath B Prahal , Avinash N , Raju N Kushal Kumar , Subashini M. Monica 
Published: October 2022

Abstract
For a person who lost their arm or an upper limb, even a simple task becomes cumbersome because of their disability. Prosthetics play an important role in helping these people cope up with the challenges they face. Swift developments in technology have resulted in powered myoelectric hand prosthetics entering the market but are avoided by many for being expensive to purchase and maintain. This paper outlines the development of an economical prosthetic claw that can be controlled by muscle signals. The project primarily aims to bridge the gap between cheap non-functional prosthetics and expensive fully controllable prosthetics by being affordable, durable, and easy to manufacture without sacrificing functionality. The claw and its components have been designed to be easy to modify, repair, and replace, making it a flexible platform for customization as per the user’s need. This translates to an efficient and feasible solution to the ever-growing need for affordable functional upper limb prosthetics for the physically challenged.
Fusion of Cochleogram and Mel Spectrogram Features for Deep Learning Based Speaker Recognition
Authors: Lambamo Wondimu , Srinivasa Ramasamy , Jifara Worku 
Published: October 2022

Abstract
Speaker recognition has crucial application in forensic science, financial areas, access control, surveillance and law enforcement. The performance of speaker recognition get degraded with the noise, speakers physical and behavioral changes. Fusion of Mel Frequency Cepstral Coefficient (MFCC) and Gammatone Frequency Cepstral Coefficient (GFCC) features are used to improve the performance of machine learning based speaker recognition systems in the noisy condition. Deep learning models, especially Convolutional Neural Network (CNN) and its hybrid approaches outperform machine learning approaches in speaker recognition. Previous CNN based speaker recognition models has used Mel Spectrogram features as an input. Even though, Mel Spectrogram features show better performance compared to the handcrafted features, its performance get degraded with noise and behavioral changes of speaker. In this work, a CNN based speaker recognition model is developed using fusion of Mel Spectrogram and Cochleogram feature as input. The speaker recognition performance of the fusion of Mel Spectrogram and Cochleogram features is compared with the performance of Mel Spectrogram and Cochleogram features without fusing. The train-clean-100 part of the LibriSpeech dataset, which consists of 251 speakers (126 male and 125 female speakers) and 28,539 utterances is used for the experiment of proposed model. CNN model is trained and evaluated for 20 epochs using training and validation data respectively. Proposed speaker recognition model which uses fusion of Mel Spectrogram and Cochleogram as input for CNN has accuracy of 99.56%. Accuracy of CNN based speaker recognition with Mel Spectrogram is 98.15% and Cochleogram features is 97.43%. The results show that fusion of Mel Spectrogram and Cochleogram features improve the performance of speaker recognition.
Facilitators and barriers in the rehabilitation process described by persons with spinal cord injury: a deductive-inductive analysis from Finnish Spinal Cord Injury Study
Authors: Tallqvist Susanna , Eskola Kaarina , Täckman Anni , Kauppila Anna-Maija , Koskinen Eerika , Anttila Heidi , Rajavaara Marketta , Arokoski Jari , Hiekkala Sinikka 
Published: October 2022

Abstract
Background
A spinal cord injury (SCI) has multiple effects on the persons’ life, and can lead to impairments in activities, social participation, and environmental factors. Rehabilitation is important for regaining functioning and new skills. The aim of the study wasto determine the factors that people with SCI perceived as promoting and facilitating their rehabilitation, and what they found to be challenges and possible barriers.
Methods
This study was part of a larger, mixed method Finnish Spinal Cord Injury study (FinSCI). The current study had a qualitative approach and used a deductive-inductive content analysis. The deductive approach was guided by a theory of six phases of a rehabilitation process by Autti-Rämö, followed by an inductive analysis to describe in-depth the perceptions of persons with SCI in each phase of the rehabilitation process. We collected the data by interviews from 45 persons representing participants from FinSCI study and used a structured interview guide.
Results
We found 28 facilitators and 19 barriers in the rehabilitation process. The majority of the facilitators and barriers were related to the phase of rehabilitation planning. There were more barriers than facilitators at the beginning of the rehabilitation process in applying for and accessing treatment or rehabilitation, and during the implementation of rehabilitation. As for the facilitators that progressed the rehabilitation process, some of them included: successful or realized, planned treatments, rehabilitation events, clear goals, multidisciplinary teamwork, support, and monitoring various changing situations, and rehabilitating one’s own capability and activity. The barriers were: delays, challenges and deficiencies in the planning and implementation of their treatment or rehabilitation, the lack of different rehabilitation professionals’ skills and resources, and different patients’ personal factors, which made the progress of the rehabilitation process cumbersome.
Conclusions
We identified that communication and interaction were common denominators for the facilitators and barriers. Good communication and interaction among rehabilitation professionals and rehabilitees promoted the occurrence and repetition of facilitating factors during different phases of the rehabilitation process. Good care and good rehabilitation practice for people with SCI were the result of multidisciplinary teamwork, in which a person with SCI was an active member.