bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of honey and lemon juice on the physicochemical, nutritional, minerals, color, bioactive compounds, antibacterial and antioxidant properties of guava-pineapple jelly
Authors: Molla Mohammad Mainuddin , Sabuz Ashfak Ahmed , Khan Md. Hafizul Haque , Chowdhury Md. Golam Ferdous , Miaruddin Md. , Alam Mahfujul , Khatun Anjumanara 
Published: September 2022

Abstract
Background
Jellies are usually preserved by artificial preservatives where they have harmful side effects and health hazards especially to infants. Honey and fresh lemon juice work as natural preservative due to their hygroscopic, high sugar, low pH and antibacterial properties. Hence, the honey and fresh lemon juice were undertaken to formulate the synthetic preservative free guava-pineapple jelly for extended shelf life with higher retention of nutrients and antioxidants.
Results
Best formulation found using honey and fresh lemon juice treated jelly (T2 and T3) by the sensory evaluation, nutrients, bioactive compounds, phenolics, antioxidant and antibacterial properties. Storage study was conducted at ambient condition and the shelf life of the jelly was remained upto 8 months without any quality deterioration. All the physicochemical, nutritional, minerals, bioactive compounds, antioxidants activities and phenolic acids were decreased with progression of storage periods. The highest vitamin-C, energy, total phenolic, flavonoid, carotenoid, ß-carotene, and anthocyanin, were recorded by the combination of guava-pineapple jelly formulated using honey and fresh lemon (T3) juice; values were 42.94-41.00 mg/100 g, 406.35-406.94 cal/g, 4.15–4.01 mg GAE/100g, 0.91 − 0.84 mg QE/g, 0.94 − 0.84 mg/100g, 12.44–12.20 mg/100g, and 4.06–4.01 mg/100g, respectively. Phenolic acids, i.e. gallic acid, vanilic acid, caffeic acid, ferulic acid, catechin acid and syringic acids were identified and quantified higher in sample T3; values ranged 5.41–5.30 mg/100 g, 4.66–4.54 mg/100 g, 9.07–8.93 mg/100 g, 0.46 − 0.35 mg/100 g, 81.70-81.43 mg/100g, 3.23–3.10 mg/100 respectively. Microbial study confirmed that the jelly was free from microbes upto 6 months of storage. After 8 months, the Aspergillus, Shigella and E-coli were detected but they were within acceptable limit. Initial color was retained upto 8 months of storage but after 8 months, the color faded out and turned into dark.
Conclusion
Honey and fresh lemon juice are valuable source of natural preservative for formulation of fruit jelly with extended shelf life upto 8 months by preventing microbial activities. The processors could process and preserve the fruit jelly with decent aroma by applying this technology as an alternative to artificial food additives.
The divergent impacts on gut microbiome and host metabolism by Traditional Chinese Medicine with Cold or Hot property in mice
Authors: Li Bingbing , Tao Xin , Sheng Lili , Li Yan , Zheng Ningning , Houkai Li 
Published: September 2022

Abstract
Background
Traditional Chinese Medicine (TCM) has been practiced and developed in China over thousands of years under the guidance of a series of complicated traditional theories. Herbs within TCM usually are classified into different properties ranging from cold, cool, warm to hot, which are simplified as Cold and Hot properties. TCMs with either Cold or Hot property are differently used in formulae for the purpose of overcoming the imbalance of patients. Emerging evidence has highlighted that altered gut microbiota or host metabolism are critically involved in affecting TCM properties. However, the exact influences and crosstalk on gut microbiota and host metabolism remain poorly understood.
Methods
In current study, we investigated the divergent impacts of six TCMs with either Cold or Hot properties on gut microbiome and host metabolism during short- or long-term intervention in mice. Six typical TCMs with Hot or Cold properties including Cinnamomum cassia (L.)J.Presl (rougui, RG), Zingiber officinale Rosc. (ganjiang, GJ), Aconitum carmichaeli Debx. (fuzi, FZ), Rheum palmatum L. (dahuang, DH), Scutellaria baicalensis Georgi (huangqin, HQ), and Coptis chinensis Franch. (huanglian, HL) were selected and orally administrated on male C57BL/6J mice for a short- or long-term (7 or 35 days). At the end of experiments, serum and cecal contents were collected for metabolomic and gut microbiome analysis with GC-MS or 16S rDNA sequencing.
Results
The results showed that gut microbiome experienced divergent changes both in composition and function by short-term intervention of TCM with either Cold or Hot properties, whereas long-term intervention of Hot TCM reduced the number of changed genus and functional pathways of bacteria, but were increased by Cold TCM, especially in HL group. The serum metabolic profile showed the Glycolipid metabolism related pathways were specifically regulated by Cold TCM, and the influence of TCM on host metabolism minimized with time. Further correlation analysis indicated the altered gut microbiota was closely correlated with serum metabolites as well.
Conclusion
Our results indicated that the TCM properties could be, at least partially, characterized by the alteration of gut microbiota and metabolic profile, implying that the divergent responses of gut microbiome and host metabolism are involved in different natures of TCM.
Implication of m6A methylation regulators for the immune microenvironment of bronchopulmonary dysplasia
Authors: Bao Tianping , Zhu Haiyan , Ma Mengmeng , Sun Tingting , Hu Jingjing , Li JingYan , Cao Linxia , Cheng Huaiping , Tian Zhaofang 
Published: September 2022

Abstract
Objective: to evaluate the effect of N6-methyladenosine (m6A) RNA methylation regulators on the development of bronchopulmonary dysplasia (BPD).
Methods: Transcriptome data related BPD was downloaded from the GEO. Differentially expressed m6A methylation regulators between BPD and control group were identified. Consensus clustering was conducted for the classification of BPD and its association with the phenotypes were conducted. Differentially expressed genes (DEGs) and immune related DEGs (DEMGs) analysis was performed. The GSEA, GO and KEGG were applied to interpret the functional enrichments. The composition of immune cell subtypes in BPD subsets was predicted by CIBERSORT analysis.
Results: Compared with control group, the alteration of most m6A regulators expression were detected, especially for IGF2BP1/2/3. The BPD was classified into 2 subsets, of which cluster 1 was correlated with severe BPD. Furthermore, the functional enrichment results showed a disturbed immune-related signaling pathway. The CIBERSORT analysis found that the proportion of immune cell subsets changed between cluster1 and cluster 2.
Conclusions: Our study revealed an implication of m6A methylation regulators for the development of BPD, which might provide a novel insight for the diagnosis and treatment for BPD.
Sohlh1 and Lhx8 are prominent biomarkers to estimate the primordial follicle pool in mice
Authors: Liu Li , Liu Biting , Wang Lian , Li Caixia , Zhou Yang , Zhu Jihui , Ding Jinye , Cheng Zhongping , Liu Shupeng 
Published: September 2022

Abstract
Efficient evaluation of the primordial follicle pool (PFP) of mammalian models is an essential subject in biomedical research relating to ovarian physiology and pathogenesis. Our recent study has identified a gene signature including Sohlh1, Nobox, Lhx8, Tbpl2, Stk31, Padi6, and Vrtn strongly correlated with ovarian reserve by using bioinformatics analysis. Aimed to investigate the validity of these candidate biomarkers for evaluating the PFP, we utilized an OR comparison model to decode the relationship between the numbers of PFP and candidate biomarkers in the present study. Our results suggest that these biomarkers Sohlh1, Nobox, Lhx8, Tbpl2, Stk31, Padi6, and Vrtn possess independent potential to evaluate the number of the PFP. And the combination of Sohlh1and Lhx8 can be used as the optimal biomarkers for rapid assessment of the PFP in the murine ovary. Our findings provide a new perspective for evaluating the PFP of the ovary in animal studies and the clinic.
Cytosolic DNA sensing combined with differentiation therapy induces irreversible differentiation and cell growth arrest in myeloid leukemia cells
Authors: Baba Tomohisa , Tomaru Utano , Hirao Atsushi , Mukaida Naofumi , Johmura Yoshikazu 
Published: September 2022

Abstract
Accumulating evidence indicates that various oncogenic mutations interfere with normal myeloid differentiation of leukemogenic cells during the early process of acute myeloid leukemia (AML) development. Differentiation therapy is an ideal therapeutic strategy capable of terminating leukemic expansion by reactivating the differentiation potential; however, the plasticity and instability of leukemia cells counteract the establishment of curative treatment for AML. Thus, the viable strategy for irreversible differentiation is urgently required. Based on our previous observation that autophagy inhibitor treatment induces the accumulation of cytosolic DNA and activation of cytosolic DNA-sensor signaling selectively in leukemia cells, we herein examined the synergistic effect of cytosolic DNA-sensor signaling activation with conventional differentiation therapy on AML. The combined treatment with autophagy inhibitors and conventional differentiation therapy succeeded in inducing irreversible differentiation in AML cells. Mechanistically, cytosolic DNA was sensed by absent in melanoma 2 (AIM2), a cytosolic DNA sensor. Activation of the AIM2 inflammasome resulted in the accumulation of p21 through the inhibition of its proteasomal degradation, thereby facilitating the myeloid differentiation. Moreover, p21 shRNA treatment abrogated the combined treatment-induced irreversible differentiation of leukemia cells. Importantly, short-term treatment with the combined therapy was sufficient to induce irreversible differentiation and dramatically reduced the total leukemia cell counts and proportion of blast cells in the spleens of AML mice. Collectively, these findings indicate that the activation of cytosolic DNA-sensor signaling in combination with conventional differentiation therapy can be an effective approach to drive the irreversible differentiation of leukemia cells.
Gut bacteria promotes host fitness to special ecological niche by regulating sugar metabolism in Drosophila suzukii
Authors: Gao Huan-Huan , Zhao Shan , Wang Rui-Juan , Zhou Xian-Hong , Qin Dong-Yun , Zhai Yi-Fan 
Published: September 2022

Abstract
As an important fruit pest of global significance, Drosophila suzukii (Matsumura, 1931) has the special ecological niche with high sugar and low protein, which is different from other Drosophila species in fruits. Gut bacteria have a substantial impact on insect physiology and ecology. However, the contribution of gut microbes to host fitness to special ecological niche is still unclear. This study examined the role of K. oxytoca in development of D. suzukii at physiological and molecular levels. The results showed that, after being removed gut microbiota, the survival rate and the longevity was significantly decreased in D. suzukii (NB strain), while the recolonization of K. oxytoca mainly in D. suzukii midgut (KO strain) helped NB strain promote the development level. The differentially expressed genes and metabolites between NB strain and KO strain could be enriched in carbohydrate metabolism pathways. qPCR analysis and sugar inducing experiment confirmed that, K. oxytoca could promote the development and sugar metabolism of D. suzukii through increasing glycolysis rate and regulating the transcript level of genes HK, PK, PFK, G6Pc, PEPCK in glycolysis/gluconeogenesis pathway. It was suggested that K. oxytoca plays an important role in promoting the host fitness to high-sugar ecological niche by stimulating its glycolysis/gluconeogenesis pathway. Our result may provide a new target for controlling D. suzukii, that is, to inhibit sugar metabolism in D. suzukii by disturbing the regulated role of K. oxytoca and the balance of gut microbial communities.
Multi-objective graph partitioning for the MFD-based perimeter control of an urban network
Authors: Banchero Sergio , Sun Yuchao , Stemler Thomas 
Published: September 2022

Abstract
The Macroscopic Fundamental Diagrams (MFDs) can be applied to guide perimeter control strategies where the network is divided into several manageable regions. Although there has been a large body of literature on the MFD theory, more research is needed on how the network should be best partitioned to suit this purpose. We argue that multiple objectives should be considered, which are (i) each region should have a well-defined MFD so its behaviour can be modelled with reasonable accuracy; (ii) the MFDs should show a clear indication of where the critical density lies; (iii) neighbouring regions should have low time correlation of traffic density to avoid peaking at the same time; (iv) the regions should have a similar size so they have enough capacity to act as the buffer for their neighbours. We developed metrics to quantify these properties and proposed a greedy multi-objective k-way spectral graph partitioning algorithm, in combination with a local search agglomerative process, to search for partitions that optimize these metrics. Pareto-efficiency based criteria were adopted in candidate selection. The case study using the real traffic data from Perth (Western Australia) showed that our method consistently outperforms the benchmarks generated by random partitioning and the traffic density similarity spectral clustering algorithm.
The Effect of Area Characteristics on the Wind in Urban Planning and Design; A Case Study of Düzce City
Authors: ÖZDEDE Sinem , AK Mehmet Kıvanç 
Published: September 2022

Abstract
The understanding of the long-term, nature-friendly planning and design of the environment is seen as an important factor in sustainable environmental studies. This study was influenced by the idea of ​​how wind, which is one of the important climatic elements, can be used and directed effectively to shape the landscape planning and design studies in cities by examining it in terms of direction and speed. In this study, Düzce City was chosen as a material, local wind measurements were used in the city and it was statistically compared with the simultaneous data obtained from the Provincial Directorate of Meteorology. The hypothesis of "the landscape characteristics (Open area/Corridor/Building) affect the wind circulation" was questioned. Wind measurements obtained from various sampling locations across the city as well as the meteorological data and urban plans were used as main study materials; Vantage Pro2 meteorological stations and ArcGIS software were also included as auxiliary materials.
As a result, it has been determined which areas and axes are convenient for the planning and design criteria in terms of wind direction and speed, and in which seasons they have the densest and least circulation characteristics in Düzce City. The results of the study are important in terms of containing information on how the wind affects the planning and design decisions in the process of creating cities.
Strategies to parallelize a finite element mesh truncation technique on multi- and manycore architectures
Authors: Badia Jose M. , Amor-Martin Adrian , Belloch Jose A. , García-Castillo Luis Emilio 
Published: September 2022

Abstract
Achieving maximum parallel performance on multi-core CPUs and many-core GPUs is a challenging task depending on multiple factors. These include, for example, the number and granularity of the computations or the use of the memories of the devices. In this paper, we assess those factors by evaluating and comparing different parallelizations of the same problem on a multiprocessor containing a CPU with 40 cores and four P100 GPUs with Pascal architecture. We use as study case the convolutional operation behind a non-standard finite element mesh truncation technique in the context of open region electromagnetic wave propagation problems. A total of six parallel algorithms implemented using OpenMP and CUDA have been used to carry out the comparison by leveraging the same levels of parallelism on both types of platforms. Three of the algorithms are presented for the first time in this paper, including a multi-GPU method, and two others are improved versions of algorithms previously developed by some of the authors.This paper presents a thorough experimental evaluation of the parallel algorithms on a Radar Cross Section prediction problem. Results show that performance obtained on the GPU clearly overcomes those obtained in the CPU, much more so if we use multiple GPUs to distribute both data and computations. Accelerations close to 30 have been obtained on the CPU, while with the multi-GPU version acceleration larger than 250 have been achieved.
Polytrauma patients with severe cervical spine injuries are different than with severe TBI even though they have similar AIS scores
Authors: Wessem Karlijn J.P. , Niemeyer Menco J.S. , Leenen Luke P.H. 
Published: September 2022

Abstract
Introduction
Traumatic cervical spine injuries (TCSI) are rare injuries. With increasing age the incidence of TCSI is on the rise. TCSI and traumatic brain injury (TBI) are often associated. In calculating Injury Severity Score (ISS) TCSI and TBI are both included in the Abbreviated Injury Scale (AIS)head. However, outcome of TCSI and TBI might be different through the nature of the injuries. In this retrospective monocenter study the incidence and outcome of TCSI in polytrauma was investigated and compared to TBI.
Methods
Consecutive polytrauma patients aged > 15 years with AIShead > 3 who were admitted to a level-1 trauma center Intensive Care Unit (ICU) from 2015–2021 were included. Demographics, treatment, and outcome parameters were analyzed for patients who had AIShead ≥ 3 based on TCSI and compared to patients with AIShead ≥ 3 based on proper TBI. Data on follow-up were collected for TCSI patients.
Results
Two hundred eighty-seven polytrauma patients (68% male, Injury Severity Score (ISS) 33) with AIS head ≥ 3 were included; Thirty-four patients (12%) had AIShead ≥ 3 based on TCSI whereas 253( 88%) had AIShead ≥ 3 based on TBI. TCSI patients were slightly older, had lower systolic blood pressure in the Emergency Department (ED) and stayed longer in ICU than TBI patients. There was no difference in morbidity and mortality rates. The majority of TCSI patients died of respiratory insufficiency, whereas TBI patients died primarily of TBI. TCSI was mainly located at C2, 59% had associated spinal cord injury, and 9% had associated severe TBI. Median follow-up time was 24 months. Twenty percent had improvement of the spinal cord injury, and 15% died during follow-up.
Discussion
In this study the incidence of severe TCSI in polytrauma was much lower than TBI. Cause of death in TCSI was different compared to TBI demonstrating that AIShead based on TCSI is a different entity than based on TBI. In order to avoid data misinterpretation injuries to the cervical spine should be distinguished from TBI in morbidity and mortality analysis.
Simple rules outperform machine learning for personnel selection: insights from the 3rd annual SIOP machine learning competition
Authors: Harman Jason L. , Scheuerman Jaelle 
Published: September 2022

Abstract
Machine learning (ML) algorithms are often assumed to be the most accurate way of producing pre-dictive models despite problems with explainability and adverse impact. The 3rd annual Society for Industrial and Organizational Psychology Machine Learning Competition sought to find ML models for personnel selection that could balance the best of ML prediction with the constraint of minimizing selection bias based on race and gender. To test the possible advantages of simple rules over ML algorithms, we entered a simple and explainable rule-based model inspired by recent advances in model comparison. This simple model outperformed most ML models entered and was comparable to the top performers while retaining positive qualities such as explainability and transparency.
Silicon-based Mid Infrared On-Chip Gas Sensor Using Fano Resonance of Coupled Plasmonic Microcavities
Authors: Sherif Sherif M. , Swillam Mohamed A. 
Published: September 2022

Abstract
Sensing in the mid infra-red spectral range is highly desirable for the detection and monitoring of different gases. We hereby propose a CMOS compatible silicon-based sensor that operates at (3.5-10 μm) within the mid infra-red range. The silicon material is doped to the level that shifts its plasmonic resonance to 3 μm wavelength. The sensor device comprises an in-line rectangular microcavity and a stub microcavity resonator. The resonance frequencies/wavelengths of the two resonators were studied with different design dimensions. When the two resonators are designed to resonate at close frequencies, the interesting Fano resonance with its distinct and sharp line shape is generated due to the interference between the two resonance profiles. Fano resonance is useful for highly sensitive measurements due to its abrupt intensity changing profile. The sensor is studied and analyzed using Finite Difference Element and 2D Finite Difference Time Domain methods. The sensor's performance is characterized by its high sensitivity of 6000 nm/RIU, FOM of 353, and limited insertion loss of 0.45 dB around 6.5 μm operation wavelength. Furthermore, we develop the sensor for simultaneously detecting methane CH4 and nitrous oxide N2O gases at 3.5 μm and 4.5 μm wavelengths, respectively.
Preadapted to adapt: underpinnings of adaptive plasticity revealed by the downy brome genome
Authors: Revolinski Samuel R , Maughan Peter J , Coleman Craig E , Burke Ian C 
Published: September 2022

Abstract
Bromus tectorum L. is arguably the most successful invasive weed in the world. It has fundamentally altered arid ecosystems of the western United States, where it now found on an excess of 20 million hectares and costs land managers and growers through lost yield, land utility, and increased incidence of fire. Invasion success is often related to avoidance of abiotic stress and human management. Early flowering is a complex but heritable trait utilized by B. tectorum that enables the species to temporally monopolize limited resources and thus outcompete native plant community. Thus, understanding the genetic underpinning of flowering time is critical for the design of integrated management strategies – regardless of the invaded ecosystem. To study flowering time traits in B. tectorum, we assembled the first chromosome scale reference genome using PacBio long reads, assembled using the Canu assembler, and scaffolded using Omni-C chromatin contact mapping technology. The final assembly spanned 2.482 Gb in length and has an N50 and L50 of 357 Mb and 4, respectively. To assess the utility of the assembled genome for trait discovery, 121 diverse B. tectorum accessions were phenotyped in replicated greenhouse trials, genotyped by sequencing and subjected to a genome wide association study (GWAS). Significantly (q < 0.05) associated QTLs were identified for height, days to first joint (J1), days to first visible panicle (VPN), and days to first ripe seed (FRS). Overlap between significant QTLs was present between traits, suggesting pleiotropy or closely linked QTLs for life cycle related traits. Candidate genes, representing homologs of an array of genes that have been previously associated with plant height or flowering phenology traits in related species, were located near significant QTLs. The GWAS, combined with a well annotated genome, is a viable method for identifying candidate genes associated with weedy characteristics in invasive weeds. This is the first study using high-resolution GWAS to identify phenology related genes in a weedy species and represents a significant step forward in our understanding of the mechanisms underlying genetic plasticity in one of the most successful invasive weed species in the world.