bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cancer related-genes enriched in peripheral blood mononuclear cells (PBMCs) of COVID-19 patients. a bioinformatics study
Authors: Ahmadi Ehsan , Changaei Mostafa , Teymouri Alireza , Alipour Behruz , Izad Maryam 
Published: August 2022

Abstract
BackgroundSince COVID-19 has become one of the biggest challenges for health care systems in the past decade. The SARS-CoV-2 primarily affects the lungs, but many studies implied that other health complications such as brain damage, heart failure, and kidneys dysfunction also are associated with SARS-CoV-2 infection. Many scientific efforts have revealed the clinical and molecular details of SARS-CoV-2 pathogenesis. However, comprehension of COVID-19 complications demands more investigations. In this context, the relation between SARS-CoV-2 infection and cancer has been less addressed. In this regard, we aimed to discover any possible links between SARS-CoV-2 infection and cancer development in a bioinformatics study.MethodsThe pertinent datasets were chosen from the GEO database. COVID-19 was searched for differentially expressed genes where |Log2 FC| > 1 and P < 0.05 were deemed statistically significant. The ClusterProfiler package employed gene ontology and pathway enrichment analysis for common genes. Functional interaction of proteins was predicted using STRING online then Cytoscape analysis was carried out to determine the target genes. Finally, gene set enrichment analysis was performed to find any correlation between candidate genes and different types of cancer.ResultsThe analysis showed that numerous cancer-related genes up-regulated in SARS-CoV-2 infected patients, particularly those genes participating in the cell cycle regulation or engaged in cellular senescence processes.ConclusionOur findings suggest that SARS-CoV-2 can be considered a potential risk factor for increasing the probability of developing cancer.
Daily tackling Health Inequalities : French Child Individual-Level Deprivation Index development and validation
Authors: Laporte Remi , Babe Philippe , Jouve Elisabeth , Daguzan Alexandre , Mazoue Franck , Minodier Philippe , Noel Guilhem , Urbina Diego , Gentile Stephanie 
Published: August 2022

Abstract
Purpose
Deprivation is a known risk factor for many diseases. But the fact it is progressive and multidimensional must be taken in account to assess its impact on health and enhance appropriate access to care. This study aimed to develop and validate a pediatric individual-level index measuring deprivation, usable in clinical practice and in public health.
Methods
The French Individual Child Deprivation Index (FrenChILD-Index) was designed in 4 phases: items generation then reduction using literature review, expert interviews, and a steering committee; index derivation then validation using a cross-sectional study in two emergency departments. During these last two phases, a blinded evaluation was performed between an expert opinion and FrenChILD-Index to assess its concordance and determine thresholds for two levels of moderate and severe deprivation.
Results
Generation and reduction phases retained 13 items to be tested. They were administered to 986 children for derivation and validation phases. In the validation phase, the final 12 items FrenChILD-Index showed for moderate deprivation (requiring single specific care for deprived children): sensitivity of 96.0% [92.6; 98.7] and specificity of 68.3% [65.2; 71.4]. For severe deprivation (requiring a multidisciplinary level of care) sensitivity was 96.3% [92.7; 100] and specificity was 91.1% [89.2; 92.9]. FrenChILD-Index met the Terwees validity criterion for screening instruments.
Conclusions
FrenChILD-Index is the first pediatric individual-level index of deprivation, methodologically validated in Europe. It enables individual appropriate referral of deprived children. Thus, FrenChILD-Index enables clinical practice to meet public health goals by taking into account the social determinants of health.
A Novel MOALO-MODA Ensemble Approach for Multi-objective Optimization of Machining Parameters for Metal Matrix Composites
Authors: Kalita Kanak , Kumar Vikas , Chakraborty Shankar 
Published: August 2022

Abstract
Machining of metal matrix composites (MMCs) has now become an essential task in shaping them to their final usable forms for various industrial applications. These machining operations may range from drilling of simple through holes to cutting and shaping the composites into complex shapes. Determination of the optimal process parameters during their machining presents a combinatorial optimization problem, which may turn out to be more complex due to involvement of various material dependent parameters of the MMCs, like particle size, reinforcement percentage etc. The importance of optimization increases manifold due to conflicting settings of different process parameters for attaining the desired quality characteristics. In this paper, two nature-inspired optimization algorithms, i.e. multi-objective antlion optimization (MOALO) and multi-objective dragonfly algorithm (MODA) are applied for multi-objective optimization of various process parameters during machining of MMCs. To mitigate uncertainties in global optimality of the predicted Pareto optimal fronts arising due to stochastic nature of the metaheuristics, an ensemble approach integrating MOALO and MODA techniques is proposed here. It is demonstrated with the help of two case studies that MOALO-MODA ensemble is far superior to its individual counterparts and thus, can be employed for development of robust and reliable Pareto optimal fronts.
Subjective well-being and households’ resilience strategies to COVID-19 pandemic in South Kivu, Eastern Democratic Republic of Congo
Authors: Mugisho Gilbert M. , Hwali Lebon M. , Nfuamba Fabrice L. 
Published: August 2022

Abstract
The South-Kivu province, located in the eastern part of the Democratic Republic of Congo, has not been spared by the COVID-19 pandemic. By the end of March 2022, South Kivu had registered 1682 confirmed cases of COVID-19. Different response measures had been used to maintain the disease. The effects of the response measures had worsened the state of poverty and vulnerability among the population. This study aimed to assess the results of the COVID-19 pandemic on the subjective well-being of South-Kivu households and the impact of resilience strategies on the well-being of these households. The data were collected thrice in 474 households, from August 2020 to February 2021, and analyzed using the structural equations model. We found that 85% of households lost their purchasing capacity, 98% were afraid of being infected with COVID-19 and 54% complied with health measures. The results showed that the resilience strategies adopted by families had increased their subjective well-being. In general, during the third round, the health (84%), socioeconomic (97%) and psychological (97%) dimensions of resilience had a positive impact (68%) on the subjective well-being of South-Kivu households. This study suggests that, in addition to the adaptive resilience strategies developed by families, there is a need to develop proactive and early warning measures for unforeseen pandemics that could lead to health crises.
High-performance terahertz absorber with tunable and ultra-broadband characteristics based on synthetic- patterned vanadium dioxide metamaterials
Authors: Xue Xiaoju , Xu Bijun , Wu Bairui , Chen Dandan , Wang Xiaogang , Li Hongqiang , Hao Ying 
Published: August 2022

Abstract
In this paper, we designed a terahertz absorber based on vanadium dioxide (VO2) with tunable and ultra-broadband characteristics. The absorber is composed of four identical synthetic VO2 patterns, the dielectric layer and the metal reflector layer from top to bottom. The results indicate that the designed absorber achieves essentially total reflection when VO2 is in the insulated state. The designed absorber has an absorption bandwidth of over 90% absorptance up to 7.7 THz in the frequencies range 5.36 THz-13.06 THz when VO2 is in the metallic state. By adjusting the conductivity of VO2, the absorber realizes near-perfect amplitude modulation with absorbance dynamically tuned from 4.31% to 100%. The operating principle of ultra-broadband absorber is interpreted by wave interference theory, impedance matching theory and electric field analysis, respectively. Compared to previously reported terahertz absorbers, the designed absorber offers significant improvements in the absorption broadband, and it also has many advantages such as simple structure, polarization insensitivity, and flexible incident angle. Such tunable ultra-broadband terahertz absorbers hold great promise in the fields of photochemical energy absorption, thermal emitters, and stealth.
Effectively targeting climate investments: A methodology for mapping climate–agriculture–gender inequality hotspots
Authors: Koo Jawoo , Azzarri Carlo , Mishra Avni , Lecoutere Els , Puskur Ranjitha , Chanana Nitya , Singaraju Niyati , Nico Gianluigi , Khatri-Chhetri Arun 
Published: August 2022

Abstract
Women are at a particular disadvantage by the stress that climate change poses on food systems in low- and middle-income countries (LMICs) as their adaptive capacity is hampered by unequal access to resources and services and constraints to their agency. This paper proposes a methodology to identify climate–agriculture–gender inequality hotspot LMICs and subnational areas where climate hazards converge with large concentrations of women participating in food systems and social conditions that disadvantage women. The methodology applies data reduction techniques on publicly available data to compute a hotspot index that forms the basis for ranking and mapping hotspots. Applying the methodology illustrates the hottest of 87 LMICs are located in Africa and identifies crop-specific hotspot subnational areas in four focus countries. Identifying hotspots can enable targeting populations at highest risk and render future efforts to support women’s agency for climate resilience and avert increasing gender inequalities more effective.
Performance Characteristics of Concrete With Nano- Graphene Oxide Inundations
Authors: Ellala Geetha , Saduwale Shrihari 
Published: August 2022

Abstract
Graphene oxide (GO) is one of the prominent Nano material, this has been utilized in producing cement composite materials. Graphene oxide represents unique range properties likely to enhance the strength and toughness of concrete. In this study, the performance of graphene oxide (GO) was evaluated on the workability, strength and durability properties of the fresh and hardened cement concrete. Different percentages of graphene oxide were added at 0wt%, 0.01wt%, 0.02wt%, 0.03wt%, 0.04wt%, 0.05% by weight of cement. Workability tests in terms of fluidity were conducted to the fresh GO based concrete. Compressive strength, split tensile strength and flexural strength tests were conducted to the hardened GO based concrete at 7 days,14 days and 28 days. Durability tests viz: Rapid chloride permeability test and sorptivity investigated the role of GO in concrete to enhance the performance characteristics of concrete. Results demonstrated that, graphene oxide (GO) addition increases the viscosity, decreases the fluidity of concrete. Increased compressive, split tensile and flexural strength results were appeared due to the addition of graphene oxide (GO) at different dosages. At 0.03% wt of graphene oxide dosage, the average compressive strength was achieved by 85% at 7 days and 93% was attained at 14 days as that of 28days strength. It indicates that the early age strength can be achieved by GO based concrete.
Effects of drag reduction during formation locomotion in adult captive dolphins
Authors: Nishimura Taiga , Mori Tomoko , Sakakibara Masaki , Sakai Mai 
Published: August 2022

Abstract
The drag-reducing effects of formation locomotion have been reported in group-living mammals, birds, and fishes. Formation locomotion between the mother and calf has also been reported in cetaceans. Similar positions are used for swimming among adult animals; however, their drag-mitigating effects have not been reported. This study was conducted to elucidate the hydrodynamic characteristics among adult animals in cetaceans. We observed adult captive bottlenose dolphins and Pacific white-sided dolphins at Port of Nagoya Public Aquarium. A total of 342 episodes of formation locomotion were observed over three days. During formation locomotion, the follower's stride length was longer and the leader's stride length was shorter than that in the parallel and solitary swims. The leader’s power increased 11.7 times that of the solitary swim. This study quantified the energetic costs and benefits of social behavior, with followers benefiting an average of 0.4 W kg− 1 and leaders losing an average of 4.68 W kg− 1. Therefore, it is believed that there is no function to reduce the cost of movement as a group. Formation locomotion can be characterized as altruistic behavior, where the follower gains and the leader loses. Formation locomotion is not only a hydrodynamic property for dolphins, but also socially important.
Autonomous navigation system for exhibition hall service robots via laser SLAM
Authors: Cai Haocong , Wu Zhigang , Zhu Yaohui , Ye Feiyun , Chen Min 
Published: August 2022

Abstract
As an important tool for guiding and introducing visitors to the exhibition hall, the service robot needs to confront the complex environment existed and the constantly moving visitors. It is needed to have the ability to enable accurate positioning and navigation as well as dynamic obstacle avoidance. In recent years, simultaneous localization and mapping technology has been widely used to address localization and navigation issues in unknown indoor environments. Combining the service robot’s inertial measurement unit with other sensors to map the exhibition hall environment by the Cartographer SLAM algorithm, environmental information is collected by two-dimensional laser lidar. The path planning and dynamic obstacle are also achieved by the Cartographer simultaneous localization and mapping algorithm. The \({A^*}\) algorithm is selected for global path planning and the dynamic window approach algorithm for local path planning. The environment map construction, path planning and dynamic obstacle avoidance functions are verified by simulation and experiments in real environment. The average position deviation and standard deviation of the robot are less than 7cm and 3cm, respectively, when the robot is set to move at 0.5m/s. The average heading deviation is less than \({9^ \circ }\)and standard deviation is less than \({3^ \circ }\). The robot's positioning and navigation can well meet the working requirements of the pavilion service robot.
Determinant of Prolonged Second Stage Labor Among Mothers Who Give Birth in Dire Dawa City at Public Institution, Eastern, Ethiopia, Nov, 2021
Authors: Manaye Yibekal , Wolde Kiber , Manaye Elias , Yigezu Muluken 
Published: August 2022

Abstract
Background
Prolonged second stage of labor is a clinical dilemma in which controversy exists on whether extending labor in nulliparous women with epidural anesthesia decreases the incidence of cesarean delivery without increasing maternal or neonatal risks. This stage become prolonged often resulting to maternal and neonatal complications.
Objective
To determine the determinant of prolonged second stage among mothers who give birth in Dire Dawa city, Eastern, Ethiopia, NOV, 2021.
Methods
A Facility based unmatched Case control study was conducted among mothers who gave birth in health facilities in Dire Dawa city from NOV. 2021 to MAR. 2022. A total of 388 mothers who came for delivery care services in randomly selected health facility was included in the study. Data were collected using face to face interview, document review, and anthropometric measurement techniques. The data were entered into EPI INFO version 7.1 and exported to SPSS version 23 for analysis.
Result
A total of 388 women were included in the study, According to this finding factors shows an association for prolong second stage of labor were not perform physical exercise were AOR = 4.9 (2.1–11.3), nulliparous AOR = 2.6 (1.6–4.2), Inadequate uterine contraction AOR = 2.8 (1.7–4.5). Birth weight of ≥ 4000 gram AOR = 2.6(1.5–4.6)
Characterization of Laser Dye Concentrations in ZnO Nanostructures for Optimization Random Laser Emission Performance
Authors: Haider Adawiya J. , Sultan Fatima I. , Haider Mohammed J. , Taha Bakr , Al-Musawi Sharafaldin , Edan Mahdi S. , Jassim Chadeer S. , Arsad Norhana 
Published: August 2022

Abstract
Many other nanoforms of zinc oxide (ZnO) structures can be synthesized, such as (spheres, rods, flowers, disks, wall, etc.). However, nanoflowers and nanowires have received particular interest due to their wide range of applications, including biological pollutants, remedial cancer cell killing, gas sensors, and biosensors. In the present work, we investigate the optical and morphological properties of two shaped nanoparticles as scatter centers in the laser active medium on the performance emission of a random laser. Fluorescence and absorption spectra show that 10− 4 M for R6G dye and 0.184 ×1013cm-3 ZnO NPs are the optimal nanocomposite film concentrations for R6G dye. With excitation energies ranging from 3.44 to 28.34 mJ and a repetition rate of 2 Hz, second-harmonic generation Nd: YAG laser ASE spectra of the nanocomposite films were observed. The results indicated a minimum bandwidth (FWHM) of 13 nm at a threshold energy of 8.65 mJ for ZnO NW nanocomposite films at 0.184 × 1013cm-3 with R6G dye at 10− 4 M and PMMA. The ZnO NF nanocomposite film had a FWHM of 11 nm and a threshold energy of 4.8 mJ at the same concentrations of R6G dye on PMMA.
Evaluation of Fructosamine and Fructosamine-Albumin Ratio in Reflecting Fasting Glucose in Type 2 Diabetic Patients with Chronic Kidney Disease: A Case-Control Study
Authors: Ha Tuan Manh , Dao Thuy Thi , Nguyen Anh Tuan 
Published: August 2022

Abstract
Background
Glycated haemoglobin (HbA1c) may not correctly reflect chronic glycaemic control in type 2 diabetes mellitus (T2DM) patients with chronic renal disease (CKD) due to anaemia. Growing evidence reports that fructosamine in reflecting glycaemic control is unaffected by anaemia in in these patients. However, the role of fructosamine remains unclear. Thus, this study aimed to evaluate the acceptance of HbA1c and determine whether fructosamine levels or fructosamine-albumin ratios might be promising biomarkers of glycaemic control in T2DM patients with or without CKD.
Methods
HbA1c and fructosamine levels were measured in 50 T2DM patients with CKD and 50 T2DM patients without CKD, together with 30 healthy subjects. The area under the curve and receiver operating characteristic curves were used to compare HbA1c, fructosamine levels, and fructosamine-albumin ratio in reflecting glycaemic control. Youden’s index was applied to identify the cut-off points for those parameters. The cut-off point for HbA1c was 6.0%, which was used as the standard method to determine the values of fructosamine and fructosamine-albumin ratio predictors for complications.
Results
HbA1c levels correlated strongly with fasting blood glucose in T2DM patients without CKD (r = 0.758, p < 0.01) and moderately (r = 0.575, p < 0.01) in those with CKD. However, fructosamine levels and the fructosamine-albumin ratios showed a moderate correlation with fasting blood glucose in those without CKD (r = 0.466, p < 0.01 and r = 0.436, p < 0.01, respectively). Estimated blood glucose levels calculated by HbA1c were similar to actual fasting blood glucose in T2DM patients with different levels of eGFR. However, for fructosamine levels and fructosamine-albumin ratios, the estimated blood glucose levels were similar to actual fasting blood glucose in groups of T2DM patients with eGFR levels lower than 45 and 30 mL/min/1.73 m2, respectively. The fructosamine-albumin ratio was a strong predictor of glycaemic control in T2DM patients with CKD (AUC = 0.923), comparable with HbA1c (AUC = 0.966). A fructosamine level of 270 µmol/L was identified as the optimal cut-off point for monitoring the response to T2DM treatment.
Conclusion
The fructosamine concentration or fructosamine-albumin ratio effectively reflected blood glucose levels in T2DM Vietnamese patients with CKD (eGFR levels lower than 45 and 30 mL/min/1.73 m2, respectively).
A comparison of metaheuristic multiobjective reliability-based design optimization
Authors: Meng Zeng , Yıldız Betül Sultan , Li Gang , Zhong Changting , Mirjalili Seyedali , Yildiz Ali Riza 
Published: August 2022

Abstract
Multiobjective reliability-based design optimization (MORBDO) is a research area that has not been investigated in the literature compared to single-objective reliability-based design optimization. This work conducts an exhaustive study of fifteen new and popular metaheuristic MORBDO algorithms, including non-dominated sorting genetic algorithm II, differential evolution for multiobjective optimization, multiobjective evolutionary algorithm based on decomposition, multiobjective particle swarm optimization, multiobjective flower pollination algorithm, multiobjective bat algorithm, multiobjective grey wolf optimizer, multiobjective multi-verse optimization, multiobjective water cycle algorithm, success history-based adaptive multiobjective differential evolution, success history-based adaptive multiobjective differential evolution with whale optimisation, multiobjective salp swarm algorithm, real-code population-based incremental learning and differential evolution, unrestricted population size evolutionary multiobjective optimisation algorithm, and multiobjective jellyfish search optimizer. In addition, the adaptive chaos control method is employed for the above-mentioned algorithms to estimate the probabilistic constraints effectively. This comparative analysis reveals the critical technologies and enormous challenges in the reliability-based design optimization field. It also offers new insight into simultaneously dealing with the multiple conflicting design objectives and probabilistic constraints. Also, this study presents the advantage and future development trends or incurs the increased challenge of researchers to put forward an effective MORBDO algorithm that assists the complex engineering system design.