bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maternal Health Services as Determinant Factors for Low Birth Weight in public hospitals of Addis Ababa, Ethiopia: a Case-control Study.
Authors: Abebe Yonas , Kebede Maedot , Getahun Tomas , Habtamu Marekegn , Tariku Behailu , Tesfahun Esubalew 
Published: January 2022

Abstract
Background: The birth weight of a newborn has a substantial impact on infant mortality, morbidity, development, and long-term health. It is determined by the mother's overall health status. More than 20 million babies are born with low birth weight across the world. In developing countries, almost 17% of all newborns are born with low birth weights, with no exception in Ethiopia. Alleviating this problem, needs a clear understanding of the determinants. Thus, this study was done in Addis Ababa, the most populous city in the country, where the lifestyles of mothers might be affected by the dynamic city life.Method: An unmatched case-control study was applied to assess the risk factors of low birth weight in three randomly selected public hospitals in Addis Ababa, Ethiopia. Data was collected through interviewer-administered structured questionnaires. Data analysis was done using SPSS version 24. Descriptive statistics using frequencies and percentages were used to describe the socio-demographic characteristics of the study participants. Bi-variable and multi-variable logistic regression analyses were used to assess the possible effect of determinant factors on low birth weight, with their respective odds ratios and 95% confidence intervals. P-values of less than 0.05 were considered statistically significant.Result: We enrolled 168 cases and 336 controls; all completed the study with no refusal. Of all pregnancies, 90 (17.8%) were unplanned and unwanted. And, 153 (30.3%) of mothers have a history of prior abortion. Among the factors we studied, maternal age below 18 years (AOR: 2.69, 95% CI: 1.24, 5.84), unwanted and unplanned pregnancy (AOR: 1.25, 95% CI: 1.09, 2.66), ANC visit in the last pregnancy below three (AOR: 3.23, 95% CI: 1.61, 6.49), female neonate (AOR: 1.09, 95% CI: 2.04, 3.20), not supplemented with iron and folic acid (AOR: 3.11, 95% CI: 1.36, 7.11) and hematocrit level of < 30 (AOR: 2.29, 95% CI: 1.00, 5.22) showed a statistically significant association with low birth weight.Conclusion: This study demonstrates that the age of mothers below 18 years, unwanted and unplanned pregnancy, low ANC visits, lack of iron and folic acid supplements, and low maternal hemoglobin level were the significant determinants of low birth weight among term babies. Thus, women of childbearing age should be screened and educated about the risks of pregnancy and should get the necessary care and support when they get pregnant.
Rolipram and Pentoxifylline Combination Ameliorates Experimental Diabetic Neuropathy Through Inhibition of Oxidative Stress and Inflammatory Pathways in the Dorsal Root Ganglion Neurons
Authors: Dastgheib Mona , Shetab-Boushehri Seyed Vahid , Baeeri Maryam , Gholami Mahdi , Karimi Mohammad Yahya , Hosseini Asieh 
Published: January 2022

Abstract
Diabetic neuropathy (DN) is the most challenging microvascular complication of diabetes and there is no suitable treatment for it, so the development of new agents to relieve DN is urgently needed. Since oxidative stress and inflammation play an essential role in the development of DN, clearance of these factors are good strategies for the treatment of this disease. According to key role of cyclic adenosine monophosphate (cAMP) in the regulation of oxidative stress and inflammatory pathways, it seems that phosphodiesterase inhibitors (PDEIs) can be as novel drug targets for improving DN through enhancement of cAMP level. The aim of this study was to evaluate the effects of rolipram, a selective PDE4 inhibitor, and pentoxifylline, a general PDE inhibitor on experimental model of DN and also to determine the possible mechanisms involved in the effectiveness of these agents. We investigated the effects of rolipram (1mg/kg) and pentoxifylline (100 mg/kg) and also combination of rolipram (0.5 mg/kg) and pentoxifylline (50 mg/kg), orally for five weeks in rats that became diabetic by STZ (55 mg/kg, i.p.). After treatments, motor function was evaluated by open-field test, then rats were anesthetized and dorsal root ganglion (DRG) neurons isolated. Next, oxidative stress biomarkers and inflammatory factors were assessed by biochemical and ELISA methods, and RT-PCR analysis in DRG neurons. Rolipram and/or pentoxifylline treatment significantly attenuated DN – induced motor function deficiency by modulating distance moved and velocity. Rolipram and/or pentoxifylline treatment dramatically increased the cAMP level, as well as suppressed DN – induced oxidative stress which was associated with decrease in LPO and ROS and increase in TAC, total thiol, CAT and SOD in DRG neurons. On the other hand, the level of inflammatory factors (TNF-α, NF-kB and COX2) significantly decreased following rolipram and/or pentoxifylline administration.The maximum effectiveness was with rolipram and/or pentoxifylline combination on mentioned factors.These findings provide novel experimental evidence for further clinical investigations on rolipram and pentoxifylline combination for the treatment of DN.
Multiobjective Design Optimization of Reentrant Auxetic Model Using Lichtenberg Algorithm Based on Metamodel
Authors: Francisco Matheus Brendon , Pereira João Luiz Junho , de Oliveira Lucas Antonio , Cunha Sebastião Da , Gomes Guilherme Ferreira 
Published: January 2022

Abstract
The optimization of five different responses of an auxetic model was considered: mass; critical buckling load under compression effort; natural frequency; Poisson’s ratio; and failure load. The Response Surface Methodology was applied, and a new meta-heuristic of optimization called the Multi-Objective Lichtenberg Algorithm was used to find the optimized configuration of the model. It was possible to increase the failure load by 26,75% in compression performance optimization. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, the failure load by 28.70% and reduce the mass and Poisson’s ratio by 15.97% and 11%, respectively. This paper shows something unprecedented in the literature to date when evaluating in a multi-objective optimization problem, the compression and modal performance of an auxetic reentrant model.
Association of Serum Biomarkers with Post-Thrombolytic Early Neurological Improvement in Stroke: A Comprehensive Protein Microarray Analysis From INTRECIS Study
Authors: Cui Yu , Wang Xin-Hong , Zhao Yong , Chen Shao-Yuan , Sheng Bao-Ying , Wang Li-Hua , Meng Wei-Hong , Chen Hui-Sheng 
Published: January 2022

Abstract
Objective
Early neurological improvement (ENI) after intravenous thrombolysis is associated with favorable outcome, but associated serum biomarkers were not fully determined. We aimed to investigate the issue in a prospective cohort.
Methods
In INTRECIS study, five centers were designed to consecutively collect the blood sample from enrolled patients. Enrolled patients with ENI and without ENI were matched by propensity score matching with the ratio of 1:1. Preset 49 biomarkers were measured by protein microarray analysis. Enrichment of Gene Ontology and pathway, and protein-protein interaction network were analyzed in the identified biomarkers.
Results
Of 358 patients, 19 occurred ENI, who were assigned as ENI group, while 19 matched patients without ENI were assigned as Non ENI group. A total of 9 biomarkers were found different, among which levels of chemokine (C-C motif) ligand (CCL)-23, chemokine (C-X-C motif) ligand (CXCL)-12, insulin-like growth factor binding protein (IGFBP)-6, interleukin (IL)-5, lymphatic vessel endothelial hyaluronan receptor (LYVE)-1, plasminogen activator inhibitor (PAI)-1, platelet-derived growth factor (PDGF)-AA, suppression of tumorigenicity (ST)-2, and tumor necrosis factor (TNF)-α were higher in ENI group, compared with those in Non ENI group.
Interpretation:
Our finding indicated that pretreatment serum CCL-23, CXCL-12, IGFBP-6, IL-5, LYVE-1, PAI-1, PDGF-AA, ST-2, and TNF-α levels were associated with post-thrombolytic ENI in ischemic stroke. The role of these biomarkers warrant further investigation.
Registration-URL
: https://www.clinicaltrials.gov; Unique identifier: NCT02854592.
NOD2 Genes Mutation in a Blau Syndrome Accompany with Congenital Hyperuricemia: A Case Report
Authors: Wang Zhaoling , Lu MeiPing 
Published: January 2022

Abstract
Rationale: Blau syndrome (BS) is a chronic auto-inflammatory granulomatous disorder associated with the nucleotide-binding oligomerization domain-containing 2 (NOD2) gene mutations. Gene mutation is one cause of congenital hyperuricemia, However, the relationship between NOD2 and hyperuricemia was unknown. Patient concerns: A 3.5-year-old girl was admitted to hospital because of pain in the left calf and red eyes, otherwise, she suffered from skin rash, and skin cysts in the wrist and ankle joints before.Diagnoses: The girl was diagnosed with sporadic BS (SBS) accompanied with congenital hyperuricemia according to her clinical presentation and gene mutation.Interventions: The patient received prednisolone combined with adalimumab and methotrexate for controlling SBS. Oral febuxostat to alleviate uric acid levels. Outcomes: Her serum uric acid decreased to normal levels after 2 weeks with oral febuxostat tablet. Four months following the treatment, the number of cysts was decreased and ocular damage was not progressed. Lessions: Blau syndrome is a relatively new entity that clinical spectrum continues to expand. This patient provides some information, which would be assist the diagnosis.
Evaluating predictors of successful postoperative day 1 discharge following posterior fossa tumor resection
Authors: King Hunter , Morell Alexis A. , Luther Evan , Hernandez Melissa , Valdez Mynor Mendez , Shah Ashish H. , Eichberg Daniel E. , Lu Victor M. , Kader Michael , Patel Nitesh , Higgins Dominique , Komotar Ricardo J. , Ivan Michael E. 
Published: January 2022

Abstract
INTRODUCTION: Current trends in surgical neuro-oncology have shown that early discharges are both safe and feasible with shorter lengths of stay (LOS) associated with fewer thromboembolic complications, less hospital-acquired infections, reduced costs, and greater patient satisfaction. Traditionally, infratentorial tumor resections have been associated with longer LOS and limited data exists evaluating predictors of early discharge in these patients. The objective was to assess patients undergoing posterior fossa craniotomies for tumor resection and identify variables associated with a postoperative day 1 (POD1) discharge and determine any differences in outcomes and readmission rates. METHODS: A retrospective review of posterior fossa craniotomies for tumor resection at our institution was performed from 2011 to 2020. Laser ablations, craniotomies for non-tumoral pathologies, and biopsies were excluded. Complete demographic, clinical, surgical and postoperative data was collected for each patient. RESULTS: 173 patients were identified and 25 (14.5%) were discharged on POD1. Median length of stay was 6 days. The POD1 discharges had significantly better preoperative Karnofsky performance scores (p<0.001) and modified Rankin scores (p=0.002) and less frequently presented emergently (p=0.006) or with preoperative neurologic deficits (p=0.021). No statistically significant difference in 30-day readmissions and rates of PE, UTI, and DVT were found between the POD1 discharge cohort and those discharged later. Univariate logistic regression identified better preoperative functional status, elective admission, and lack of preoperative hydrocephalus as independent predictors of POD1 discharge however only the latter remained significant in the multivariable model (p=0.001). CONCLUSIONS: Discharging patients on POD1 is feasible following posterior fossa tumor resections and does not introduce any significant undue risk or result in higher readmissions. Although we found that the only independent predictor for a longer LOS was preoperative hydrocephalus, larger, prospective studies are needed to confirm these findings.
In-situ Synthesis and Characterization of Ceramic Reinforced Inconel 718 Coatings Using B4C-Inconel 718 Powders by Laser Directed Laser Energy Deposition
Authors: Li Yunze , Zhang Dongzhe , Zhao Bo , Cong Weilong 
Published: January 2022

Abstract
Inconel 718 has been widely used in aerospace, nuclear and marine industries due to excellent high-temperature mechanical properties and corrosion resistance. In recent years, laser directed energy deposition (DED) become a competitive method in the fabrication of Inconel 718 coatings. Compared with other surface coating processes, laser DED has the advantage of extremely fine-grained structures, strong metallurgical bonding, and high density. However, the hardness and wear resistance of Inconel 718 coatings still need to be improved. To further improve these properties, ceramic reinforced Inconel 718 coatings have been investigated. Compared with ex-situ ceramic reinforcements, the in-situ synthesized reinforcements have the advantage of refined ceramic particle size, uniform distribution, and low thermal stress. B4C was a preferable additive material to fabricate in-situ synthesized multi-component ceramic reinforced Inconel 718 coatings. The addition of B4C could form a large number of borides and carbides as ceramic reinforcements. In addition, the in-situ reactions between Inconel 718 and B4C could release heat during the fabrication, thereby promoting the melting of material powders. However, there are currently no investigations on the in-situ synthesis mechanisms, microstructure, and mechanical properties of laser DED fabricated B4C-Inconel 718 coatings. In this study, the effects of B4C on the properties of Inconel 718 coatings were investigated. Results show that Ni3B, NbB, and Cr3C2 phases were formed. With the addition of B4C, the size of Laves phase was refined and the porosity was decreased. The hardness and wear resistance of B4C reinforced coatings were improved by about 34% and 28%, respectively.
Lithium Chloride Sensitivity Connects the Activity of PEX11 and RIM20 to PGM2 translation
Authors: Golshani Ashkan , Jagadeesan Sasi Kumar , Algafari Mustafa , Hajikarimlou Maryam , Takallou Sarah , Moteshareie Houman , Tayabali Azam , Samanfar Bahram , Smith Myron 
Published: January 2022

Abstract
Lithium chloride (LiCl) is a widely used and extensively researched drug for the treatment of bipolar disorder (BD). As a result, LiCl has been the subject of research studying its toxicity, mode of action, and downstream cellular responses. LiCl has been shown to influence cell signalling and signalling transduction pathways through protein kinase C and glycogen synthase kinase-3 in mammalian cells. LiCl's significant downstream effects on the translational pathway necessitate further investigation. In yeast, LiCl is found to lower the activity and alter the expression of PGM2, a gene encoding a sugar-metabolism phosphoglucomutase. When phosphoglucomutase activity is reduced in the presence of galactose, intermediates of galactose metabolism aggregate, causing cell sensitivity to LiCl. In this study, we identified that deleting the genes PEX11 and RIM20 increases yeast LiCl sensitivity. We further show that PEX11 and RIM20 regulate the expression of PGM2 mRNA at the translation level. The observed alteration of translation seems to target the structured 5′-untranslated region (5′-UTR) of the PGM2 mRNA.
Comparative Analysis on Transcriptomics of Ivermectin Resistant and Sensitive Strains of Haemonchus Contortus
Authors: Tuersong Waresi , Zhou Caixian , WU Simin , Qin Peixi , Wang Chunqun , Di Wenda , liu lu , liu Hui , Hu Min 
Published: January 2022

Abstract
Background: Ivermectin (IVM) is one of the most important and widely used anthelmintics in veterinary medicine. However, its efficacy is increasingly compromised by widespread resistance, and the exact mechanism of IVM resistance remains unclear for most parasitic nematodes including Haemonchus contortus, a blood-sucking parasitic nematode of small ruminants.Methods: In this study, we isolated and assessed an IVM resistant strain from Zhaosu, Xinjiang, China. Subsequently, the comparative analyses on transcriptomics of IVM susceptible and resistant H. contortus adult worms were carried out using RNA sequencing and bioinformatics.Results: In total, 543 and 359 differentially expressed genes (DEGs) were identified in male and female adult worms of the resistant strain compared with the susceptible strain, respectively. The DEGs encode molecules involved in receptor activities, transport, detoxification, lipid metabolism and cuticle collagen formation. In addition, Gene Ontology (GO) analysis revealed that transcriptional changes were dominant in genes associated with ligand-gated channel activity, oxidation-reduction process, lipid metabolic process, and structural constituent of cuticle. The results support previous proposal that the IVM resistant mechanism of H. contortus involved in both neuromuscular and non-neuromuscular pathways. Finally, the quantitative RT-PCR results confirmed that the transcriptional profiles of selected DEGs (male: 8 genes, female: 10 genes) were consistent with those obtained by the RNA-Seq.Conclusions: The findings from this work provided valuable information for further studies on the IVM resistance in H. contortus.
Two Agrobacterium-mediated Transformation Protocols of White Clover (Trifolium Repens) Through the Callus System
Authors: Jia Tong , Cheng Bizhen , Feng Huahao , Hassan Muhammad Jawad , Iqbal Muhammad Zafar , Li Zhou , Bai Shiqie , Peng Yan 
Published: January 2022

Abstract
White clover (Trifolium repens) is one of the most widely cultivated livestock forage legumes co-cultivated worldwide with pasture grass in a mixed-sward setting, however, its persistence and aesthetic quality are severely affected by abiotic stresses. In this study, regeneration of white clover plants was conducted through a callus system for 4-5 months with a regeneration frequency of 36-41%. Inoculating 4-day-old cotyledons into MS media fortified with 0.4 mg·L-1 6-BA and 2 mg·L-1 2,4-D significantly increased the callus formation rate. Roots and cotyledons were better induced, followed by hypocotyls, leaves, and petioles. The development of differentiated structures performed effectively on MS supplemented with 1 mg·L-1 6-BA and 0.1 mg·L-1 NAA. Further, we determined factors affecting the Agrobacterium tumefaciens-mediated transient transformation for root-derived callus and 4-day-old cotyledons. The parameters that facilitated transient transformation were: Agrobacterium suspension density of 0.5 (OD600), 20 mg·L-1 AS, and 4-days co-cultivation duration. Subsequently, we developed two transformation protocols: transformation after callus formation in root segments (Protocol A) and transformation before callus initiation in 4-day-old cotyledons (Protocol B). The transformation frequencies varied from 1.92% to 3.17% in Protocol A and from 2.76% to 3.47% in Protocol B. We offer the possibility to regenerate multiple transgenic white clover from a single genetic background. In addition to assistance in identification of functional genes associated with yield, resistance and aesthetic quality, our research will also contribute to successful genetic manipulation and genome editing in white clover.
A Neural Network-Based Distributed Compressed Sensing Algorithm to Derive Continuous Hyperspectral Images in Wireless Sensor Networks
Authors: Hasanuzzaman Md. Sarkar 
Published: January 2022

Abstract
Hyperspectral imaging is a versatile and powerful technology for gathering geo-data. Planes and satellites equipped with hyperspectral cameras are currently the leading contenders for large-scale imaging projects. Aiming at the shortcomings of traditional methods for detecting sparse representation of multi-spectral images, this paper proposes wireless sensor networks (WSNs) based single-hyperspectral image super-resolution method based on deep residual convolutional neural networks. We propose a different strategy that involves merging cheaper multispectral sensors to achieve hyperspectral-like spectral resolution while maintaining the WSN's spatial resolution. This method studies and mines the nonlinear relationship between low-resolution remote sensing images and high-resolution remote sensing images, constructs a deep residual convolutional neural network, connects multiple residual blocks in series, and removes some unnecessary modules. For this purpose, a decision support system is used that provides the outcome to the next layer. Finally, this paper, fully explores the similarities between natural images and hyperspectral images, use natural image samples to train convolutional neural networks, and further use migration learning to introduce the trained network model to the super-resolution problem of high-resolution remote sensing images, and solve the lack of training samples problem. A comparison between different algorithms for processing data on datasets collected in situ and via remote sensing is used to evaluate the proposed approach. The experimental results show that the method has good performance and can obtain better super-resolution effects.
dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
Authors: banerjee soumya 
Published: January 2022

Abstract
Objective

Achieving sufficient statistical power in a survival analysis usually requires large amounts of data from different sites. Sensitivity of individual-level data, ethical and practical considerations regarding data sharing across institutions could be a potential challenge for achieving this added power. Hence we implemented a federated meta-analysis approach of survival models in DataSHIELD, where only anonymous aggregated data are shared across institutions, while simultaneously allowing for exploratory, interactive modelling.

In this case, meta-analysis techniques to combine analysis results from each site are a solution, but a manual analysis workflow hinders exploration. Thus, the aim is to provide a framework for performing meta-analysis of Cox regression models across institutions without manual analysis steps for the data providers.

Results

We introduce a package ( dsSurvival) which allows privacy preserving meta-analysis of survival models, including the calculation of hazard ratios. Our tool can be of great use in biomedical research where there is a need for building survival models and there are privacy concerns about sharing data.