bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of autophagy regulated by the PI3K/AKT/mTOR pathway and innate lymphoid cells in eosinophilic chronic sinusitis with nasal polyps
Authors: Zhou Min-Li , Wang Chen , Ma Di-Jiang , Liu Yong-Cai , Cheng Ke-Jia 
Published: April 2022

Abstract

The PI3K/Akt/mTOR pathway and autophagy are important physiological processes. But their roles in eCRSwNP remains controversial. In this study, we used the eCRSwNP mouse model, PI3K/Akt/mTOR pathway inhibitors, and autophagy inhibitors and activators to investigate the regulatory effects of the PI3K/Akt/mTOR pathway on autophagy, and their effects on eosinophilic inflammation, and tissue remodeling. The role of ILC2s in eCRSwNP was also studied, and the relationship between ILC2s and autophagy was preliminarily determined. Our results show that eosinophilic inflammation in eCRSwNP mice could be inhibited by promoting the autophagy; otherwise, eosinophilic inflammation could be promoted. Meanwhile, inhibition of the PI3K/Akt/mTOR pathway can further promote autophagy and inhibit eosinophilic inflammation. Meanwhile, inhibiting the PI3K/Akt/mTOR pathway and promoting autophagy can reduce the number of ILC2s and the severity of tissue remodeling in the nasal polyps of eCRSwNP mice. We conclude that the PI3K/Akt/mTOR pathway plays roles in eosinophilic inflammation and tissue remodeling of eCRSwNP, in part by regulating the level of autophagy. The downregulation of autophagy is a pathogenesis of eCRSwNP; therefore, the recovery of normal autophagy levels might be a new target for eCRSwNP therapy. Furthermore, autophagy might inhibit eosinophilic inflammation and tissue remodeling, in part by reducing the number of ILC2s.
From determining brain insulin resistance in a sporadic Alzheimer’s disease model to exploring the region-dependent effect of intranasal insulin
Authors: Knezovic Ana , Budisa Stjepan , Perhoc Ana Babic , Homolak Jan , Barilar Jelena Osmanovic 
Published: April 2022

Abstract
Impaired response to insulin has been linked to many neurodegenerative disorders like Alzheimer’s disease (AD). Animal model of sporadic AD has been developed by intracerebroventricular (icv) administration of streptozotocin (STZ), which given peripherally causes insulin resistance. Difficulty in demonstrating insulin resistance in this model led to our aim: to determine brain regional and peripheral response after intranasal (IN) administration of insulin in control and STZ-icv rats, by exploring peripheral and central metabolic parameters. One month after STZ-icv or vehicle-icv administration to 3-months-old male Wistar rats, cognitive status was determined after which rats received 2 IU of fast-acting insulin aspart intranasally (CTR+INS; STZ+INS) or saline only (CTR and STZ). Rats were sacrificed two hours after administration and metabolic and glutamatergic parameters were measured in plasma, CSF and the brain. Insulin and STZ increased amyloid-β concentration in plasma (CTR+INS and STZ vs CTR), while there was no effect on glucose and insulin plasma and CSF levels. INS normalized the levels of c-fos in temporal cortex of STZ+INS vs STZ (co-localized with neurons), while hypothalamic c-fos was found co-localized with the microglial marker. STZ and insulin brain region-specifically altered the levels and activity of proteins involved in cell metabolism and glutamate signaling. Central changes found after INS in STZ-icv rats suggest hippocampal and cortical insulin sensitivity. Altered hypothalamic metabolic parameters of STZ-icv rats were not normalized by INS, indicating possible hypothalamic insulin insensitivity. Brain insulin sensitivity depends on the affected brain region and presence of metabolic dysfunction induced by STZ-icv administration.
A New Type of Half-Metallic Fully Compensated Ferrimagnet
Authors: Semboshi Satoshi , Umetsu Rie Y. , Kawahito Yousuke , Akai Hisazumi 
Published: April 2022

Abstract
Half-metallic fully compensated ferrimagnets (HM-FCFMs) constitute a special class of half-metals exhibiting zero magnetization at zero temperature. While there have been a number of theoretical studies predicting the existence of such materials over the last 25 years, very few of those have been synthesized and observed that they exhibit expected properties. Herein, we demonstrate that a NiAs-type hexagonal-structured (CrFe)S compound could serve as an HM-FCFM material. It has a half-metallic nature of 100% spin-polarised Fermi surfaces and yet zero magnetisation at the ground state. The magnetisation shows linear behaviour as a function of the magnetic field at temperatures below the compensation temperature (~190 K). In addition, it shows a high magnetic coercivity of 3.8 T at 300 K. These magnetic features contribute to a significant development in the application of HM-FCFMs for spintronics devices.
An Interval-Valued Intuitionistic Fuzzy-based CODAS for sustainable supplier selection
Authors: Afzali Mahboubeh , Afzali Afsaneh , Pourmohammadi Hamid 
Published: April 2022

Abstract
With the advent of information age, supplier selection has attracted researchers' attention in the field of supply chain management. Optimal supplier selection meets the competitiveness of industries and satisfaction of customers in the supply chain management. However, considering sustainable factors including environmental and social parameters, alongside customers' expectations are the main challenge of supplier selection. Moreover, incomplete and hesitation among experts' judgment result in uncertainty that leads the more complex assessment of criteria. In this paper, an innovative multi -criteria decision making method was developed to address supplier selection process and supplier order allocation based on customers' expectations with respect to the sustainable primers. The proposed method was based on fuzzy Combinative Distance-based Assessment (CODAS) extended with Interval-Valued Intuitionistic Fuzzy ( IVIF ) for multi -criteria sustainable supplier selection. The proposed model was combined with hesitation linguistic set to provide two goals including a: dealing with experts' hesitation as well as imprecise and vague of decision makers' knowledge in order to express assessment values. b: coping with missing or nonexistence of attribute assessment values. The proposed method was performed on a steel mill as a case study to illustrate the effectiveness of decision process on four suppliers in detail. The results showed that the presented model could consider conflicting parameters and enhance high order imprecision and uncertainty.
Machine learning based risk prediction for Parkinson's disease with nationwide health screening data
Authors: Park You Hyun , Suh Jee Hyun , Kim Yong Wook , Kang Dae Ryong , Shin Jaeyong , Yang Seung Nam , Yoon Seo Yeon 
Published: April 2022

Abstract
Introduction: There have been several studies of machine learning (ML) models for Parkinson’s disease (PD) prediction using neuroimaging and movement analyses, however, ML studies for PD prediction based on a large population-based dataset have been rare. The objective of this study was to propose the PD prediction models using ML algorithms based on the National Health Insurance Service-Health Screening datasets.Methods: We selected individuals who had participated in the national health screening programs more than five times between 2002 and 2015. PD was defined based on ICD-code (G20) and a matched cohort of individuals without PD were selected by a 1:1 random sampling method. Various ML algorithms were applied for PD prediction; then, the performances of prediction models were compared.Results: The Neural Network, Random Forest and Gradient Boosting algorithms exhibited the best average prediction accuracy (average area under the receiver operating characteristic curve: 0.838, 0.828 and 0.819, respectively) among all algorithms validated in this study. The accuracy of the proposed model was higher in male group than in female group. The most important factor for predicting PD occurrence was age, followed by cholesterol, hemoglobin, body mass index, and glucose. When analyzed by sex, smoking and alcohol consumption in men and income level, physical activity, and diabetes mellitus in women were found to be highly correlated with the occurrence of PD.Conclusion: Our results indicate that the proposed health screening dataset-based PD prediction model using ML algorithms is readily applicable, produces validated results and outperforms the previous PD prediction models.
WITHDRAWN: Seismic Fragility Assessment of Multistory Precast Parking Structures
Authors: Li Hao , Zhou Wei 
Published: April 2022

Abstract
In this article, the fragility and collapse mechanisms of multistory precast parking structures in China, designed using the recent Chinese building codes, is assessed. The structures represent general structural aspects of precast parking building stock of China, considering the variability of a set of structural parameters: shear stiffness and tensile stiffness of connectors, number of stories and two orthogonal directions of the seismic action. A probabilistic analysis based on fragility curves is a robust technique to assess the influence of these parameters on the expected seismic performance, however, such investigations are difficult as they need extremely time-consuming analysis such as Incremental Dynamic Analysis (IDA). In this paper, fragility curves are obtained by using the SPO2FRAG procedure. The results show that the variation of the considered parameters significant affect the seismic response and seismic fragilities of precast parking structures.
Neuromorphic computing for short-term wind power forecasting
Authors: Sopeña Juan Manuel González , Pakrashi Vikram , Ghosh Bidisha 
Published: April 2022

Abstract
There is an upwards trend of applying deep learning to model wind power forecasts. The modelling and training of these architectures may take many computational resources, hindering the possibility of implementing such algorithms for shorter term prediction horizons. Emerging computational architectures such as neuromorphic computing have the potential of real-time learning using brain-inspired algorithms characterized by low latency and low energy consumption. In particular, we introduce spiking neural networks for short-term wind power forecasting, taking into consideration the current development and features of neuromorphic devices.
Long-term elevated atmospheric CO2 and warming affect the root-associated microbiomes of rice and wheat
Authors: Gao Ke , Mao Zhenbo , Meng Enxi , Li Jie , Liu Cheng , Liu Xiaoyu , Zhang Yingying , Zhang Long , Wang Guangli , Liu Yuan 
Published: April 2022

Abstract
Background: Plant root-associated microbial communities profoundly affect plant nutrition and productivity. Although elevated atmospheric CO2 and warming have been suggested to affect above- and belowground plant processes, it remains unclear how root-associated microbial communities respond to elevated CO2 and warming, particularly in agroecosystems. Result: Here, an open-air field experiment was conducted to assay the interactive effects of elevated CO2 (500 ppm) and warming (+2℃) on the root-associated microbiomes and soil enzyme activities in a rice-wheat rotation ecosystem. The results revealed a significant increase in rhizosphere soil organic carbon (SOC) and total nitrogen contents from elevated CO2. In addition, glucosidase, β-xylosidase, and phosphatase activities increased significantly. The rhizosphere soils of rice and wheat had significantly higher richness and Shannon diversity indices than the root endosphere. Besides, the bacterial and fungal compositions were significantly altered between the two compartments. Elevated CO2 and warming had more impact on the rhizosphere soil microbiomes and altered their composition by changing the relative abundance of some particular groups. Soil pH, SOC, and available potassium significantly altered the dominant bacterial phyla in the rhizosphere. In contrast, the SOC affected the root endophytic bacterial phyla. Moreover, more bacterial and fungal genera were significantly correlated with soil variables in the rhizosphere than in the root endosphere. Elevated CO2 had significant effects on the numbers of bacterial genera, including Burkholderia, Rhizobium, Pantoea, Gemmatimonas, Dongia, Defluviicoccus, Anaeromyxobacter, and Povalibacter, that significantly correlated with soil variables. Conclusion: These results indicate that the microbial communities in the rhizosphere of rice and wheat are more sensitive to elevated CO2 and warming than the root endophytic microbiomes. Moreover, the dissimilarity of root-associated bacteria is greater than that of the fungal community in the root endosphere.
Ethnozoological uses of wildlife species among the Iraqw people of Mbulu District, Northern Tanzania
Authors: Hariohay Kwaslema Malle , Chagama James Gasper , Machumu Alodia K. , Lyamuya Richard D. , Ntalwila Janemary , Kideghesho Jafari Ramadhani 
Published: April 2022

Abstract
Introduction: The medicinal use of wild fauna has been a common practice for centuries. Human being has developed the knowledge on the exploitation and use of wild fauna for food, clothing, traditional healing and other purposes. Of recent, an interest in ethnozoological studies aiming at discovering new medications for human and animal health has increased. Although the knowledge on medicinal use of wild species is well established in many African tribes, it is rarely documented and thus fading with generations as the elders are more familiar on animals and their uses than young people. This study sought to record and document the traditional use of different wildlife species among the Iraqw people of Northern Tanzania and form a basis for conservation and sustainable use of these species. Method: The study employed semi-structured interview to collect data from 45 key informants who were identified to be knowledgeable and key users of wild animals in three villages namely Endagaw, Mewedan and Ng’wandakw in Mbulu district. Results: The results revealed multiple uses of 28 wild animals whereby 23 were used for food, 10 for medicinal and 5 had ritualistic values of were associated with traditional beliefs. The hare (Lepus microtis), Aardvark (Orycteropus afer), zebra (Equus guaga), ostritch (Struthio camelus), helmeted guinea fowl (Numida meleagris), African honeybee (Apis mellifera scutellate), ring necked dove (Streptopelia capicola), African mourning dove (Streptopelia decipiens), speckled pigeon (Columba guinea) were used for both food and medicine. Fat from baboon (Papio anubis), African elephant dung (Loxodonta africana), and black necked spitting cobra (Naja nigricollis) were used as medicines for treatment of different ailments. Various medicinal uses such as treatment of wound from burn, kneading the pregnant women giving birth, ear pains and squatting the painful muscles. Animals such as Aardvark (Orycteropus afer), Hedgehog (Atelerix albiventris), Bush pig (Potamochoerus larvatus), pangolin (Smutsia temminckii) and owl (Strigiformes spp) had ritualistic value based on traditional beliefs.Conclusion: Traditional knowledge on the uses of wild animals is well established among the elders of the Iraqw community. However, this knowledge is fading with time due to minimal interactions between the youth and nature caused by introduction of formal education, embracing of foreign religions, increased use of pharmaceutical drugs and the declining of wildlife species as a result of habitat loss and overexploitation. We recommend more studies of this kind in order to provide a basis for conservation and sustainable use of wild animals in different parts of Africa and globally.
Age and growth studies of Indian oil sardine (Sardinella longiceps) using hard part microstructure, a tool for biological and ecological understanding
Authors: EM Abdussamad , Rohit Prathibha , Ghosh Shubhadeep , KG Mini , P Shameer , NV Dipti , TB Retheesh , AM Abbas , AR Akhil , Ismail Shihab , A Gopalakrishnan 
Published: April 2022

Abstract
Age and growth characteristics of the Indian oil sardine (Sardinella longiceps) was studied by interpreting microstructures on hard parts. Microstructures were validated to the time scales by observing their frequency of formation on hard parts of the fishes reared in confinement. Among the hard parts, sagittal otolith alone was found suitable for ageing the species as frequency of microstructure formation on them followed definite time scale. The estimates of age at length data and growth parameters from otolith analysis indicated faster growth in the species than the earlier reports by other methods. Despite an expected sexual divergence in their growth, results show identical growth in both sexes. It further highlighted the prevalence of very distinct temporal growth variation driven by habitat environment indicating significance of hard part studies on ecological understanding of fishes. It also aided in tracing the precise time of birth with high precision, identifying the cohorts that supported the fishery and possible inter-regional migration of the species. The data generated from hard part ageing would aid in better eco-biological understanding of species, precise stock assessment outputs and fishery forecasting.
The effects of genistein supplemented before or after irradiation on DNA injury in human lymphocytes in vitro
Authors: Dobrzyńska Małgorzata M. , Gajowik Aneta 
Published: April 2022

Abstract
Purpose.
The study aimed at the investigation if application of genistein (GEN) at different time prior or past irradiation may avert or reduce the induced by irradiation injury of DNA in human lymphocytes.
Materials and Methods.
The isolated lymphocytes were exposed to X-irradiation (0.5; 1 Gy). GEN (1 µM/ml; 10 µM/ml) was appended to attempts at various times prior or past irradiation (1 h prior, immediately prior, immediately past, 1 h past). We joined each X-rays dose with each GEN dose. After 1h of incubation DNA damages were examined using Comet assay.
Results.
Combination of 1 µM/ml of GEN given 1 h before irradiation with low or high dose markedly decreased induced by irradiation DNA injury. Higher dose of GEN applied immediately before or after irradiation markedly extended the frequency of DNA injury generated by irradiation. The result of application 1 µM/ml GEN 1 h after irradiation was not significantly different compared to control. The effect of 1 Gy + 10 µM/ml GEN was not significantly lower compared to each agent alone.
Conclusions.
Only a very low concentration of GEN was applied before irradiation, it may be considered as a potential radiomitigator/radioprotector. High doses of GEN work as a radiosentitizer and may potent the effects of radiotherapy.
Clinical application of Headache Impact test (HIT)-6 and Epworth Sleepiness Scale (ESS) for sleep apnea headache
Authors: Tabata Hiromitsu , Kinoshita Masako , Taniguchi Mitsutaka , Ooi Motoharu 
Published: April 2022

Abstract
Background
Sleep apnea headache is a major symptom accompanying obstructive sleep apnea (OSA), but relatively little evidence has been reported on the magnitude of its negative effects on patients or the evaluation of therapeutic effects. We quantitatively assessed sleep apnea headache using the Epworth sleepiness scale (ESS) and headache impact test (HIT)-6.
Methods
The first part of this study enrolled 86 patients (72 male; mean [± standard deviation] age 53.2 ± 13.8 years) who had been diagnosed with OSA by polysomnography in our sleep center and investigated the prevalence and characteristics of sleep apnea headache. The second part enrolled 21 patients (12 male; mean age, 47.5 ± 13.0 years) diagnosed with sleep apnea headache by polysomnography and/or peripheral arterial tonometry and evaluated the effects of OSA therapy on headache. Medical records including ESS, HIT-6, and polysomnographic data were retrospectively analyzed.
Results
The prevalence of sleep apnea headache among OSA patients was 22.1%, and was higher in female (50.0%) than in male (16.7%). The proportion of N3 and HIT-6 score showed a significant negative correlation (Pearson’s R = -0.51, p < 0.05). In female, median apnea-hypopnea index (AHI) was significantly lower in patients with headache (26.1 /h [interquartile range 21.4–29.6 /h]) than in patients without (54.2 /h [41.3–73.9 /h], p < 0.05, Wilcoxon rank-sum test). HIT-6 and ESS scores improved from 56.4 ± 9.7 to 45.9 ± 8.4 and from 9.0 ± 4.4 to 5.3 ± 4.2 in patients with oral appliance (OA), and from 54.3 ± 10.7 to 44.6 ± 6.1 and from 10.0 ± 4.0 to 4.9 ± 2.9 with continuous positive airway pressure (CPAP). In patients with good CPAP adherence, these scores improved from 58.1 ± 10.8 to 44.0 ± 6.0 and from 9.6 ± 3.8 to 3.6 ± 1.7.
Conclusion
Among patients with OSA, prevalence of sleep apnea headache was higher in female than in male. In female, headache was associated with relatively mild OSA. OA showed substantial effects on headache in mild to moderate OSA patients. CPAP adherence was important for improving the headache. HIT-6 score appears useful for the diagnosis and management of sleep apnea headache.
Is There a Need for a Technical Certification System for Gynecological Robotic Surgery? Questionnaire Survey of Members of the Japan Society of Gynecologic and Obstetric Endoscopy and Minimally Invasive Therapy
Authors: komatsu hiroaki , Hiraike Osamu , Fukuhara Rie , Yokoyama Yoshihito , Takahashi Nobutaka , Nishi Hirotaka , Baba Tsukasa , Fujii Takuma , Kitawaki Jo , Kobayashi Hiroaki , Mandai Masaki 
Published: April 2022

Abstract
Background
The Japan Society of Gynecologic and Obstetric Endoscopy and Minimally Invasive Therapy (JSGOE) introduced a system for the certification of laparoscopic surgeons in 2002 and a system for the certification of facilities in 2014. We examined the opinions of the members of the Japan Society of Gynecologic and Obstetric Endoscopy and Minimally Invasive Therapy (JSGOE) regarding the necessity of a certification training system and a technical certification system for robotic surgery skills in Japan.
Methods
Members of the JSGOE were surveyed with two questionnaires.
Results
Overall, 870 and 519 participants responded to the first and second questionnaires, respectively. Half of the respondents indicated that both systems were necessary. The breakdown by age and qualifications showed that this was especially true for the younger generation and for respondents who had more experience with robotic surgery. Overall, 40% of the respondents judged that a certification system for robotic surgery alone (with or without certification in laparoscopic surgery but with a requirement of experience in laparoscopic surgery) would be necessary.
Conclusion
The opinions of the JSGOE members on making a certification system for robotic surgery were split into two clear-cut camps. Thus, we must further seek the extent of public demand for using a public survey so that a final decision can be made on whether to establish this system.