bluuebunny/crossref_metadata_2025 huggingface dataset:
Waning of humoral immunity and affecting factors after BNT162b2 vaccination: a cohort study with latent growth curve model in Fukushima
Authors: Kobashi Yurie , Takebayashi Yoshitake , Yoshida Makoto , Kawamura Takeshi , Shimazu Yuzo , Kaneko Yudai , Nishikawa Yoshitaka , Nakayama Aya , Takita Morihiro , Tianchen Zhao , Yamamoto Chika , Ito Naomi , Tsubokura Masaharu
Published: August 2022

Measuring long-term antibody titer kinetics and subsequent COVID-19 vaccinations are crucial for identifying vulnerable populations. Our aim was to determine the association between long-term antibody kinetics up to seven months post second vaccination, including peak titers and factors. A three-time survey was performed in 2021 on healthcare workers in Japan to investigate the changes in humoral immunity using chemiluminescence immunoassay. We included participants who completed the second-dose vaccination, the antibody survey for all three terms, and those who were not infected with COVID-19. A latent growth curve model was used to identify the factors affecting the peak titer and decreasing the antibody slope. Overall, 205 eligible participants were included in the final analysis. Of these, the mean titers of immunoglobulin G (IgG) against the spike (S) protein and the neutralizing activity at seven months after the second vaccination decreased to 154.3 AU/ml (8.8% of the peak titer) and 62.1 AU/ml (9.5% of the peak titer), respectively. The growth model of IgG showed that age significantly affected peak titers (p < 0.001); however, a significant difference was not found for the decreasing slope. In conclusion, aging adults had significantly lower peak antibody titers, however age did not relate to decreasing slope.
Efficacy and safety of Nimotuzumab combined with chemoradiotherapy in the treatment of locally advanced cervical cancer
Authors: Zhang Lei , Jiang Yuqi , Jiang Peng , Chen Zhiying , Cui Huanliang , Zhang Yongchun
Published: August 2022

Background: Platinum-based concurrent chemoradiotherapy (CCRT) is the primary treatment for locally advanced cervical cancer (LACC). Improving the efficacy of LACC treatment is the focus of clinical research. This study aimed to investigate the efficacy and safety of nimotuzumab combined with CCRT compared with CCRT for treating LACC.Methods: Patients with LACC treated at the Affiliated Hospital of Qingdao University from March 2017 to December 2019 were collected and classified into Nimotuzumab plus chemoradiotherapy (N+CCRT) group and concurrent chemoradiotherapy (CCRT) group. Histological subtype was collected. The primary endpoints were overall survival (OS) and progression-free survival (PFS), as well as the secondary endpoints were Complete response rate (CRR), objective response rate (ORR), and adverse events (AEs).Results: A total of 120 patients (65 in the N+CCRT group and 55 in the CCRT group) were enrolled with a median follow-up time of 37 months. In N+CCRT group, 1-, 2-, and 3-year OS rates were 98.46%, 95.38% and 90.50%, 1-, 2-, and 3-year cumulative PFS rates were 89.23%, 83.08% and 79.73%, CRR was 86.15% (56/65), the ORR was 92.31% (60/65), respectively. In CCRT group, 1-, 2-, and 3-year OS rates were 94.55%, 87.27%, and 78.18%, 1-, 2-, and 3-year PFS rates were 81.82%, 69.09% and 59.69%, CRR was 70.91% (39/55), ORR was 87.27% (48/55), respectively. CRR (86.15% vs. 70.91%, P=0.040) and 3-year PFS rates (79.73% vs. 59.69%, P=0.039) were significantly higher in N+CCRT group. AEs during treatment mainly included bone marrow suppression, gastrointestinal reactions, radiation enteritis, hepatic impairment, and radiation cystitis, and there was no significant difference between the two groups (P > 0.05).Conclusion: Nimotuzumab combined with CCRT enhanced PFS and CRR for LACC patients and was well tolerated.
Peripherally Inserted Central Venous Catheter for Pediatric Hematologic Diseases; A Retrospective 11-year Single-center Experience.
Authors: Ligia Silvio , Morano Salvatore Giacomo , Kaiser Francesca , Micozzi Alessandra , Moleti Maria Luisa , Barberi Walter , Giona Fiorina , Chistolini Antonio , Arena Valentina , Piciocchi Alfonso , Forgione Maurizio , Gasperini Giulia , Fabbri Marco , Testi Anna Maria
Published: August 2022

Purpose. Peripherally-inserted central catheters (PICCs) are successfully increasingly used in children in onco-hematologic setting. PICC insertion, especially in oncologic patients, can be associated with adverse events (thrombosis, obstruction and infections). Data regarding the use of PICC, as long-term access in pediatric patients with severe hematologic diseases, are still limited. Methods. We retrospectively evaluated the safety and efficacy of 218 PICC, inserted in 154 pediatric patients diagnosed and treated at Pediatric Hematology Unit, Sapienza University of Rome, for severe hematologic disease in a 11-year period (98 acute lymphoblastic leukemias, 20 acute myeloid leukemias, 20 Hodgkin lymphomas, 6 non-Hodgkin lymphomas, 8 severe aplastic anemias, 2 acquired thrombotic thrombocytopenias). Results. The 218 PICC analyzed were in situ for a median dwell time of 160 days (range 12–898). In 38 children, PICC was inserted twice and in 10, three times or more due to hematopoietic stem cell transplant, disease recurrence or PICC-related complications. The overall complication rate was 32%: central-line associated bloodstream infections (CLABSI) occurred in 21% of cases after a median time of 105 days; a catheter-related thrombosis (CRT) in 3% and mechanical complications in 8% of cases. Premature removal for complications occurred in 36.7% of PICC. No death related to PICC complications was observed. Conclusion. In our experience, PICC was a cheap, safe and reliable device for long-term intravenous access in children with severe hematologic illnesses. This has been possible with the help of dedicated PICC team.
Evolutionary Game Analysis of Inter-provincial Diversified Ecological Compensation Collaborative Governance
Authors: Lu Yali , Fan Linfang , Zhai Luyu
Published: August 2022

Establishing a diversified ecological compensation mechanism for inter-provincial river basins is an important measure to effectively balance the relationship between water quality protection and economic development. However, in the practice of diversified ecological compensation of river basin water ecology, the conflicts of interests and contradictions between upstream and downstream governments in water resources management and protection become an important obstacle to the sustainable development of the river basin. To solve the above problems, this paper proposes the operation mode of a diversified ecological compensation mechanism based on collaborative governance among local governments, to promote the diversified ecological compensation mechanism to effectively match the demands of interest subjects and dynamically adjust the combination of compensation methods. The evolutionary game model of diversified ecological compensation cooperative governance between upstream and downstream governments is constructed, the dynamic simulation analysis is carried out by taking Shaanxi and Henan provinces as examples. The results show that the higher the initial willingness of upstream governments to diversify ecological compensation, the faster the stability of the collaborative governance system. When the fund allocation ratio of the diversified compensation method is biased to the government compensation, the stable state of the system can be achieved faster. The agreement guarantee cost has a greater impact on the upstream government, and it is easier to achieve system stability when the revenue distribution ratio is biased toward the downstream government. A good incentive and constraint mechanism can effectively promote the the system’ stability and have a more significant impact on the downstream government.
Assessment of the uncertainty of evaporation estimation models using Bayesian Model Averaging and their impact on reservoir operation
Authors: Koupai Jahangir Abedi , Soltani Mohadeseh , Abedi-koupai Jahangir , Gohari Alireza
Published: August 2022

Accurate estimation of evaporation losses is vital for efficient reservoir operation and optimal water allocation for various purposes. Due to multiple sources of error, uncertainty assessment is considered a fundamental step before using the outputs of models. This study aims to reduce the uncertainty in evaporation estimation models and investigate the influence of their uncertainty on the Zayandeh-Rud reservoir operation. The Bayesian Model Averaging (BMA) approach was used to merge predictions of eight evaporation models, and the Monte Carlo sampling method was conducted to derive 90% uncertainty intervals. The behavior of this system was examined using statistical performance indices such as time-based reliability, resilience, and vulnerability. The results of the study indicated that the models had different abilities in estimating evaporation and cannot fully estimate the pan evaporation data without including errors. The application of the BMA technique resulted in a reduced error rate and more accurate prediction of evaporation in all months. Moreover, applying different evaporation estimation methods affected the magnitude of the failure of the system and the speed of recovery from failure to a satisfactory state and caused an increased resilience index and a decreased vulnerability index.
Satellite and multi algorithm capability for flood hazard assessment and mapping in northern Iran
Authors: Solaimani Karim , Darvishi Shadman , Shokrian Fatemeh
Published: August 2022

Iran is one of the most flood prone areas in the world. The spring flood of 2019 was recorded one of the most devastating flood events in northern region of Iran. In this study, Sentinel-1, Sentinel-2, Sentinel-3 and Landsat-8 images were used to extract the flood map. Then, flood maps of these areas were prepared using Random Forest (RF) algorithm for Sentinel images and Support Vector Machine (SVM) algorithm for Landsat-8 images. In addition, flooding in these areas was assessed using the Fuzzy Best Worse Model - Weighted Multi-Criteria Analysis (FBWM-WMCA). The results of FBWM model showed that the criteria of precipitation, slope, height, land use, drainage density and distance from channel were the highest and the criteria of Curvature, Geology, Topographic Wetness Index (TWI), Stream Transport Index (STI), Stream Power Index (SPI) and The Topographic Ruggedness Index (TRI) played the lowest role in flooding in these areas. According to the FBWM-WMCA model, 38% of the Gorgan watershed in the northern, northwestern, western and southwestern parts and 45% of the Atrak watershed in the eastern, northeastern, northern and western parts are in high flood risk. The overall accuracy of the 2019 flood maps in Gorgan watershed for Sentinel-1, Sentinel-2, Sentinel-3 and Landsat-8 images is 89, 87, 80 and 85% and for Atrak is 91, 88, 82 and 86 percentages respectively. In general, based on the results of this study, FBWM and FBWM-WMCA models are effective and efficient for determining the weight of criteria and preparing flood risk maps, respectively.
Combined effects of variable electrical conductivity and microstructural/multiple slips on MHD flow of micropolar nanofluid: Food industries applications
Authors: Abou-zeid M. Y. , Ibrahim M. G.
Published: August 2022

Electrical conductivity has a vital role in food industries through heating operations. So, this paper focused on the temperature-dependent electrical conductivity and Joule heating effects on the boundary layer flow of micropolar fluid. Activation energy, microstructural/multiple slips, and thermal radiation effects are considered. Appropriate similarity variables convert the resulting system of partial differential equations (PDEs) to a model of highly non-linear ordinary differential equations (ODEs). Semi-analytical results are obtained using a highly accurate/trusted technique called the Shooting technique. Accuracy of obtained results is approved/confirmed semi-analytically with recently published results by Dawar 2021 using the generalized differential transform method GDTM by Mathematica 13.1.1. Results show that the temperature-dependent electrical conductivity parameter raises the fluid temperature, and more energy is gained in the heating operation system, which is significant in the design of Ohmic heaters (food industry processes).
Preliminary Study on the Relationship between VKORC1 Gene Polymorphism and Warfarin Anticoagulant Therapy in Chinese patients with Continuous-Flow Left Ventricular Assist Devices
Authors: Yu Ya-Hong , Zhu Nan , Jia Ke-Gang , Song Yu , Wang Wei
Published: August 2022

Purpose
This study explored the effect of VKORC1 gene polymorphism on the early application of warfarin dosage in left ventricular assist device (LVAD) implantation as well as the time in therapeutic range (TTR) within 3 months of surgery, thereby providing a basis for anticoagulation decision-making in patients with LVADs.
Methods
Retrospective analysis was used to review the warfarin-related genetic data of patients who underwent LVAD implantation in TEDA International Cardiovascular Hospital from September 2020 to August 2021. This study analyzed the effects of different genotypes on (1) the number of days to reach the target international normalized ratio (INR) (defined as 2.0–2.5); (2) the cumulative dose, average dose, and last dose before reaching the target INR; and (3) the TTR within 3 months of LVAD implantation.
Results
Out of 20 patients, 15 patients (75.0%) had VKORC1 − 1639AA and CYP2C9*1/*1 polymorphisms, and 5 patients (25.0%) had VKORC1 − 1639GA and CYP2C9*1/*1 polymorphisms. Compared with patients with LVADs carrying the VKORC1 − 1639GA genotype, those carrying the VKORC1 − 1639AA genotype took significantly fewer days to reach the target INR (5.6 vs. 14.6 days, P < 0.001), a lower cumulative warfarin dose (20.5 vs. 66.2 mg, P < 0.001), a lower average warfarin dose (3.5 vs. 4.5 mg, P = 0.030), and a lower dose of the final warfarin administered before the target INR was achieved (3.4 vs. 5.5 mg, P = 0.030). The percentage of TTR was not significantly different between the two VKORC1 genotypes on days 7–30 (50.00% for the AA genotype vs. 45.29% for the GA genotype, P = 0.26) or days 31–90 (53.03% for the AA genotype vs. 50.93% for the GA genotype, P = 0.25) after LVAD implantation.
Conclusion
Patients with the VKORC1 − 1639AA genotype reached the target INR faster than those with the GA genotype, and the total dose needed to achieve the target was smaller. Genotype-guided warfarin dosing may allow safer anticoagulation by achieving the target INR with less risk to the patient, but it did not affect long-term TTR management in this study.
MoS2 coated planar polymer optical waveguide sensor utilizing common path interferometric principle for chlorpyrifos detection
Authors: Upadhyay Abhishek , Yadav Chandan Singh , Maurya Rajiv , Sharma Gaurav , Singh T. Sonamani , Kumar Sushil , Singh Vivek
Published: August 2022

A common path Mach-Zehnder interferometer is fabricated using planer polymer waveguide having MoS2as an adlayer for chlorpyrifos detection. The dispersion characteristic and cutoff condition of proposed waveguide is obtained theoretically and hence the cutoff film thickness is optimised to get TE0and TM0propagating modes. Variation between the phase shift of propagating modes with the concentration of pure chlorpyrifos and its real commercial sample are obtained. A good linear variation between phase shift and concentration of chlorpyriphos is obtained in our fabricated waveguide for all considered temperatures. The obtained maximum sensitivity, minimum limit of detection and limit of quantification of chlorpyrifos is 5.66 degree/µM, 1.57µM and 5.24µM respectively, at 450C. The capability of the fabricated sensor to generate distinct response for pure and real sample of chlorpyrifos at different concentration and temperature were confirmed by principal component analysis. Since the response of sensor is better for real sample at lower temperature, therefore it is recommended that the concentration of chlorpyrifos in real sample should be measure at low temperature.
Flexible patterns of information transfer in frustrated networks of phase oscillators
Authors: Khatami Saideh , Bolhasani Ehsan , Perc Matjaz , Valizadeh Alireza
Published: August 2022

Brain networks are characterized by flexible patterns of pairwise correlations and information exchange between different brain regions. Such dynamic patterns are crucial for an efficient response of the brain to environmental and cognitive demands. We here propose that the collective oscillations in the brain can provide a mechanism to control dynamical interactions and the exchange of information across brain networks. In particular, we show that the phase difference between oscillatory activities in different brain regions determines the transmission of neural signals. To further corroborate this, we study a network of coupled oscillators with repulsive couplings and show that the amount of information transfer between the nodes is determined by the phase differences among them. The emergence of multiple (locally) stable states due to the frustration makes it possible to change the patterns of information transfer between the nodes by means of the switching between different stable states. Our results indicate that frustration can be the mechanism through which large scale brain networks control the effective connectivity and the routes for the information transfer between different brain regions.PACS 87.19.La · 87.19.lo · 82.40.Bj
A Set-Theoretic Decision Procedure for Quantifier-Free, Decidable Languages Extended with Restricted Quantifiers
Authors: Cristiá Maximiliano , Rossi Gianfranco
Published: August 2022

Let LX be the language of first-order, decidable theory X. Consider the language, LRQ(X), that extends LX with formulas of the form ∀ x ∈ A : ϕ (restricted universal quantifier, RUQ) and ∃ x ∈ A : ϕ (restricted existential quantifier, REQ), where A is a finite set and ϕ is a formula made of X-formulas, RUQ and REQ. That is, LRQ(X) admits nested restricted quantifiers. In this paper we present a decision procedure for LRQ(X) based on the decision procedure already defined for the Boolean algebra of finite sets extended with restricted intensional sets (LRIS). The implementation of the decision procedure as part of the {log} (‘setlog’) tool is also introduced. The usefulness of the approach is shown through a number of examples drawn from several real-world case studies.
Community composition and differential analysis of rhizosphere soil microorganism and endophytes in Schisandra sphenanthera Rehd. et Wils.
Authors: Wang Xiao-Rui , Qin Xiao-Lu , Pu Han , Fang Xi-Lin , Gu Wei
Published: August 2022

Background and aims: Endophyte and rhizosphere soil microorganism are vital microbial environments of the plant, namely plant microenvironments. A robust understanding of the structural composition of the microbiome present in below-ground and above-ground communities has remained elusive. Schisandra sphenanthera Rehd. et Wils. is a kind of traditional Chinese Medicine (TCM) of Schisandra, which can protect the kidney and liver. Methods: In this study, high-throughput sequencing analysis is applied to unravel microbial communities in rhizosphere soil and different parts of wild S. sphenanthera, and the movement regularity of endophytes in plant tissues.Results: There are differences in microbial composition and diversity between rhizosphere soil and four parts of S. sphenanthera. Proteobacteria, Cyanobacteria, and Acidobacteria are main bacteria, Ascomycota and Basidiomycota are main fungi at phylum level of microbe in S. sphenanthera. There are 12 common bacterial genera and 11 common fungal genera in rhizosphere soil and different parts of S. sphenanthera. In addition, each of the four parts and rhizosphere soil have its own dominant communities, such as Achromobacter (stem and leaf) and Methylobacterium (leaf). OTUs clustering results indicate that the bacterial community of root is greatly influenced by rhizosphere soil, while the microbial community of stem and fruit are greatly affected by the microorganisms of leaf. Conclusions: Understanding the microbial community structure and diversity in rhizosphere soil and different parts of S. sphenanthera can provide basis for further study of host-microbial interactions of S. sphenanthera in phytoremediation, sustainable utilization, and secondary metabolite production.
Single-Channel Blind Source Separation using Adaptive Mode Separation- Based Wavelet Transform and Density-Based Clustering with Sparse Reconstruction
Authors: kacha abdellah , kemiha mina
Published: August 2022

In this study, the signal-channel blind source separation (SCBSS) problem has been addressed using a novel approach. The approach is based on combining the adaptive mode separation-based wavelet transform with adaptive mode separation (AMSWT) and the density-based clustering with sparse reconstruction. The approach is performed in Time frequency domain and in reverberant environment. First, using the Fourier transform, the amplitude spectrum of the observed mixture signal is obtained. Then, using variational scaling and wavelet functions, the AMSWT is introduced to adaptively extract spectral intrinsic components (SIC). To obtain a better time-frequency distribution, the AMSWT is applied to each mode. Thus, the SCBSS problem is transformed into a non-underdetermined. Then, for each frequency bin; the density-based clustering, reformulated to eigenvector clustering problem, is performed to estimate the mixing matrix. Finally, the sparse reconstruction is introduced to reconstruct the estimated source. The proposed approach has been evaluated using an objective measure of separation quality. According to experimental results, the proposed approach presents a powerful method to solve the SCBSS problem, and provide better separation performances than the existing methods.
Multiwavelength observations of a partial filament eruption on 13 June 2011
Authors: Zhang Yanjie , Zhang Qingmin , Dai Jun , Li Dong , Ji Haisheng
Published: August 2022

In this paper, we report the multiwavelength observations of the partial filament eruption associated with a C1.2 class flare in NOAA active region 11236 on 13 June 2011. The event occurred at the eastern limb in the field of view (FOV) of Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory (SDO) spacecraft and was close to the disk center in the FOV of Extreme-UltraViolet Imager (EUVI) on board the behind Solar Terrestrial Relations Observatory (STEREO) spacecraft. During eruption, the filament splits into two parts: the major part and runaway part. The major part flows along closed loops and experiences bifurcation at the loop top. Some of the materials move forward and reach the remote footpoint, while others return back to the original footpoint. The runaway part flows along open field lines, which is evidenced by the potential field source surface (PFSS) modeling and a flare- related type III radio burst. The runaway part also undergoes bifurcation. The upper branch of escapes the corona and evolves into a jet-like narrow coronal mass ejection (CME) at a speed of ∼240 km s−1, while the lower branch falls back to the solar surface. A schematic cartoon is proposed to explain the event and provides a new mechanism of partial filament eruptions.
Person-Environment Fit and Organizational Performance: Polynomial Regression and Response Surface Analysis
Authors: Jiang Daokui , Ning Lei , Zhang Yiting , Liu Qian
Published: August 2022

In the past, the linear effect of person–environment fit on the organizational process and results covers up its complex relationship. Behavioral Reciprocal Determinism Theory holds that the reasons for the changes of individual attitudes and behaviors cannot be simply attributed to individual or environmental factors, but rather to the effect of their interaction. Based on matching theory, the cross-time point method is used to collect data, and 274 valid questionnaires are obtained. The effects of person–environment fit on work satisfaction and organizational performance are analyzed by polynomial regression and response surface analysis. Bootstrapping is applied to confirm the mediating roles of work satisfaction in the above relationship. The results show that (1) Needs-Supplies (NS) fit and Demands-abilities (DA) fit and work satisfaction have an inverted U-shaped curve relationship; (2) work satisfaction has U-shaped curve relationships with task, relationship, and innovation performances; and (3) work satisfaction mediates the influence of person-environment fit and organizational performance. These findings contribute to person–environment fit research and to human resource management practices.
Construction of a Novel kidney renal clear cell carcinoma microenvironment-related lncRNA pair Signature
Authors: Gou Yuanqing , Fu Yongxin , Li Yadong , Huang Hao , Tan Wei , Yuan Ye , Ma Junhao , Liu Chuan , Wu Hao
Published: August 2022

Background: Kidney Renal clear cell carcinoma (KIRC) is a malignant neoplasm originating in the tubular epithelium and is the most common pathologic type of renal carcinoma, accounting for approximately 80% of cases. Tumor microenvironment (TME) has been proved to play a key role in the development of tumor, including KIRC. A number of studies have focused on tumor TME-related genes, but have ignored the key role of TME-related lncRNAs in disease. Method:In this article, we obtained 6 TME-related genes by using ESTIMATE and CIBERSORT computational methods from 611 cases which are downloaded from the TCGA Kidney Renal Clear Cell Carcinoma database. And then we performed coexpression analysis between 6 TME-related genes and lncRNAs to find differently expressed TME-related lncRNAs(TMErlncRNAs). The matrix of TMErlncRNA pairs was established by a cyclic comparison of each lncRNA pair expression level. Univariate and multivariate Cox regressions and LASSO regression analysis were used to construct the hazard model. We have sifted 10 lncRNA pairs that were included in this model. TCGA cohort was divided into high- and low-risk groups, according to the Akaike Information Criterion (AIC) values of the receiver operating characteristic (ROC) curve. Then, we tested and verified our model through various clinical settings: tumor-infiltrating immune cells, clinical-pathological characteristics and reactiveness to immunotherapy. Results: Based on the 6 differently expressed TME-related genes, we sifted and constructed a 10-TME-related lncRNA pair signature. The area under the receiver operator characteristic (ROC) curve (AUC) of the signature was 0. 766, showing a promising prediction value for KIRC, and the cut-off point was recognized as 0. 862. Subsequent analysis showed that our signature is closely associated with clinical pathological characteristics, overall survival, specify tumor infiltration status, and reactiveness to immunotherapy in patients with KIRC. Conclusion: We constructed a novel kidney renal clear cell carcinoma TME-related lncRNA pair signature with promising clinical prediction value in KIRC, which might provide new insights for clinical decision-making and precision medicine.
Malaria knowledge, prevention practices, and care-seeking behavior among Forest-Goers in Cambodia: A mixed-methods formative assessment
Authors: Phok Sochea , Tesfazghi Kemi , Tompsett Andy , Thavrine Boukheng , Ly Po , Hassen Saad El-Din , Avrakotos Avery , Malster JIm , Felker-Kantor Erica
Published: August 2022

Background
Cambodia has made significant progress towards achieving malaria elimination by 2025. Cases continue to decrease and are primarily concentrated in forested areas. Forest-goers are most at risk of malaria due to their proximity to the forest, poor sleeping conditions, frequent mobility, and distance from health services. Consistent use of long-lasting insecticide-treated nets or hammock nets (LLINs/LLIHN), early diagnosis and treatment of cases are central to reducing disease burden. The aim of this study was to understand forest-goers’ knowledge, attitudes, and practices related to malaria prevention and care-seeking, and to identify key behavioral determinants of LLIN/LLIHN use and prompt care-seeking within 24 hours of developing a fever.
Methods
A mixed-methods study design consisting of a cross-sectional survey and qualitative in-depth interviews was implemented in two Cambodian provinces. Survey participants (N = 654) were recruited using respondent driven sampling. Interview participants (N = 28) were selected using purposive sampling. Findings from the survey were analyzed using univariate and bivariate analysis and multivariate weighted logistic regression. Interviews were coded and analyzed using thematic content analysis.
Results
All study participants had heard of malaria and 98% knew that malaria was transmitted by mosquitoes. LLIN/LLIHN ownership was high (94%). Although 99% of participants perceived LLIN/LLIHN use as an important malaria prevention measure, only 76% reported using one during their last visit to the forest. Only 39% of survey participants sought care within the recommended 24 hours from fever onset during their last febrile illness. The other 43% reported not seeking any healthcare during their last fever episode. In controlled regression models, perceived positive community social norms were significantly associated with LLIN/LLIHN use (OR: 2.7, 96%CI:1.99–2.64) and care-seeking within 24 hours of fever onset (OR: 1.7, 95%CI:1.00-2.88). Social support from other forest-goers was also significantly associated with LLIN/LLIHN use (OR: 4.9, 95%CI: 1.32–18.12).
Conclusions
Study findings are consistent with other studies on LLIN/LLIHN use and care-seeking behaviors. While rates of LLIN/LLIHN ownership were high among the study population, rates of use were not as high. More concerning were the delayed care-seeking behaviors. Social behavior change activities should incorporate social norms and social support as mechanisms for behavior change given the identified positive correlations with LLIN/LLIHN use and prompt care-seeking.
High-Temperature-and-Humidity Reduces Plasma Insulin and Gut Hormones through FXR Activation Accompanied by a Metabolic Compensatory Gut Microbiota
Authors: luo huanhuan , Zhang Yongliang , Guo Jianwen , Chen Song , Hu Zongren , Tang Jianbang , Zheng Yuhua , Xiao Jiedong , Wang Yao , Luo Yi , Mo Xiaoying , Wu Yalan
Published: August 2022

Environmental high-temperature-and-humidity (HTH) causes discomfort and is associated with a series of diseases; however, the underlying mechanism linking HTH and these diseases remains unclear. In this study, we demonstrated that HTH remarkably impaired the secretion of insulin, GLP-1, and ghrelin rapidly and persistently in mice. We then performed a longitudinal analysis of alterations to the gut microbiota following HTH exposure. There was no distinct alteration in the gut microbiota associated with the impaired secretion of insulin and gut hormones. The causal mediation analysis also excluded the predominant role of gut bacteria in insulin and gut hormone levels. In contrast, fecal microbiota transplant experiments confirmed that the gut microbiota decreased the plasma levels of glucose and triglyceride, likely through augmented thermogenesis. This implied that the gut microbiota compensated for the metabolic effect of insufficient insulin on glucose and lipid synthesis in HTH-treated mice. Furthermore, we revealed a profound alteration in bile acids (BAs) with characteristics of decreased tauro-conjugation rapidly following HTH exposure, and a reduced bile acid pool emerged gradually. Using proteomic analysis, we showed that multiple farnesoid X receptor (FXR)-targeted proteins, including BA transporters SLC10A2, FABP6, and OSTα/OSTβ, were enriched in the ileum 8 weeks after HTH exposure, thus implying an augmented reabsorption of bile acids in response to the reduced BAs pool. Considering the critical role of FXR in GLP-1 suppression as well as in controlling BA homeostasis, lipoprotein and glucose metabolism, hepatic regeneration, intestinal bacterial growth, and the response to hepatotoxins, our results revealed a link between environmental HTH, bile acids, gut microbiota, and energy metabolism. This study sheds new light on the pathogenesis of several ambient HTH-associated diseases.
CpG island status as an epigenetic alteration for NIS promoter in thyroid neoplasms; a cross- sectional study with a systematic review
Authors: Zarkesh Maryam , Arab Noman , Abooshahab Raziyeh , Heydarzadeh Shabnam , Sheikholeslami Sara , Nozhat Zahra , Jahromi Marziyeh Salehi , Fanaei Seyed Ahmad , Hedayati Mehdi
Published: August 2022

Background
Gene silence via methylation of the CpG island is the most common epigenetic modification in cancer. Aberrant DNA methylation interferes with active transcription and is also significantly associated with poor tumor differentiation and prognosis. Given the highly significant role of NIS in thyroid cancer differentiation, this cross-sectional study aimed to investigate the DNA methylation pattern in seven CpG islands (CpG1-7 including + 846, +918, + 929, +947, + 953, +955, and + 963, respectively) of the NIS promoter in patients diagnosed with PTC, FTC, and MNG compared with the matched non-tumoral tissues.
Methods
Thyroid specimens from 64 patients met the eligibility criteria, consisting of 28 PTCs, 9 FTCs, and 27 benign MNG cases. The expression of NIS mRNA was tested by qRT-PCR. The bisulfite sequencing PCR technique was performed was performed to evaluate the promoter methylation pattern of the NIS gene. Sequencing results were received in chromatograph, FASTA, SEQ, and pdf formats and were analyzed using Chromas. The methylation percentage at each position and for each sample was calculated by mC/ (mC + C) formula for all examined CpGs; following that, the methylation percentage was also calculated at each CpG site.
Results
NIS mRNA levels decreased in tissue samples of patients with PTC (P = 0.04) and FTC (P = 0.03) compared to their matched non-tumoral tissues. The methylation of NIS promoter was not common in PTC samples, but it was frequent in FTC (P < 0.05). Significant differences were observed in the methylation levels in the 4th (+ 947), 6th (+ 955), and 7th (+ 963) CpGs sites in the forward strand of NIS promoter between FTC tumoral and MNG tissues (76.34 ± 3.12 vs 40.43 ± 8.42, P = 0.004, 69.63 ± 3.03 vs 23.29 ± 6.84, P = 0.001 and 50.33 ± 5.65 vs 24 ± 6.89, P = 0.030, respectively). There was no significant correlation between the expression and methylation status of NIS in PTC and FTC tumoral tissues.
Conclusion
Perturbation in NIS promoter’s methylation individually may have a potential utility in differentiating MNG and FTC tissues. The absence of a distinct methylation pattern implies the importance of other epigenetic processes, which may alter the production of NIS mRNA. In addition, according to the reversibility of DNA methylation, it is anticipated that the design of particular targeted demethylation medicines will lead to a novel cancer therapeutic strategy.
Multiobjective nonlinear model predictive control of the microbial process
Authors: Srid N
Published: August 2022

A rigorous multiobjective nonlinear model predictive control is performed on the microbiome dynamic model that takes into account competition, amensalism, parasitism, neutralism, commensalism and cooperation. The optimization language pyomo is used in conjunction with the state of the art global optimization solver BARON. It is demonstrated that when the species that produces the required product is favorable to the other species there is an initial decrease in the required product before an increase happens.There has been a lot of research that describe the complex interactions of the many microbial organisms that exist in the microbial cluster in chemostats. The microbial consortium is a complex system with higher-order dynamic characteristics that are governed by commensalism, amensalism, co-operation, neutral behavior and parasitism. To explain these complex interactions, highly sophisticated nonlinear models have been developed. Such nonlinearities pose challenges to the performance of optimization and control tasks. In this article multiobjective nonlinear model predictive control for a dynamic microbiome model is performed using the modeling language Pyomo in conjunction with the state of the art global optimization solver BARON. The document is organized as follows. The background is followed by the description of the model equations and the nonlinear model predictive control strategy. This is followed by the discussion of the results and conclusions
A case report of robot-assisted laparoscopic left renal mucinous cystadenocarcinoma radical nephrectomy and review of literature
Authors: Ning Zikuan , Zhang Haoxun , Wang Bowen , Wang Yingwei , Liu Yiwen , Tao Boju , Zhang Guoling , Liu Hua , Wang Chunyang
Published: August 2022

Background: Mucinous cystadenocarcinoma (MC) of the kidney is a rare renal epithelial tumor originating from the renal pelvic urothelium. There are only a few published reports on MC. Due to its rare and unknown tissue origin, its diagnosis is difficult which almost can be diagnosed through the pathological method.Case presentation: In this case report, we report a female patient whose chief complaint was low back pain lasting for one month. The three-dimensional computed tomography scan of the urinary system detected approximately 7 cm of a left renal cystic mass. The renal cystic mass was diagnosed as MC after robot-assisted laparoscopic radical nephrectomy. The MC originated from the kidney after completing colorectal adenocarcinoma and ovarian adenocarcinoma.Conclusions: We reported a case of MC of the kidney which was a rare renal tumor. We not only aimed to present an unusual case of MC and review the previous literature on its pathology and differential diagnosis, but also used new method to treat this type of tumor.
Fuzzy c-Means Clusterization and ANN- MLP Prediction of Malign Breast Cancer in a Cohort of Patients
Authors: Massaro Alessandro , Costantiello Alberto , Magaletti Nicola , Cosoli Gabriele , Giardinelli Vito , Leogrande Angelo
Published: August 2022

A model based on to cluster and predict the presence of malign breast cancer. The algorithms are applied to an open dataset of 569 patients that have either benign or malign breast cancer. First the article presents a detailed data description that is followed by a correlation matrix analysis and a regression analysis to verify the select the best variables for the clustering analysis and the predictive model. The clusterization is realized with the fuzzy c-Means algorithms. The prediction is performed by the Artificial Neural Network (ANN) Multilayer Perceptron (MLP) algorithm showing the best performance in comparison with the results of other machine learning algorithms. The use of all the tools in a definite sequence is the model proposed in this work providing an auto consistent approach to automatize the risk calculus with a good efficiency. The proposed approach can be applied for other typologies of cancers.
“I DON’T WANT TO BE CALLED ANAK AMAH”: THE IDENTITY CONUNDRUM OF BIRACIAL FILIPINO-MALAY BRUNEIANS
Authors:   Institute of Asian Studies, Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei Darussalam, Hoon Chang-Yau , Fermin Maria ,   Department of Political and Social Sciences, Institute of Sociology, Freie Universität Berlin, Kaiserswerther Str. 16-18, 14195 Berlin, Germany
Published: August 2022

Using qualitative data collected from interviews with Filipino-Malay Bruneian biracial informants, this article examines the identity conundrum that is grounded in their individual liminal experiences. Growing up in a bicultural family in a conservative society, the Filipino-Malay Bruneian identity is a complex phenomenon as they negotiate their Muslim identity while preserving their Filipino culture. By narrating the shifting identity and boundary crossing among the Filipino-Malay Bruneian individuals, this article discusses the ways they respond to the dominant discourse in the Bruneian social and cultural contexts that perceive identity as singular, fixed, and essentialist. It unpacks the different dimensions of their life experiences, including their struggles with persistent racial and class stereotype of being “anak amah” (child of a maid). Finally, the article analyses how our informants negotiate identity conflicts in their everyday practices and provides nuanced insights into the complexity of the Filipino-Malay Bruneian identity.
GENERATIONAL AND SEX DIFFERENCES AMONG FILIPINOS IN METRO MANILA IN THEIR PERCEPTIONS OF THE ATTRACTIVENESS OF LIGHT AND DARKCOMPLEXIONED MALE AND FEMALE MODELS
Authors:   Department of Psychology, De La Salle University, 2401 Taft Avenue, Manila 1004, The Philippines, Policarpio Monica Renee , Dreisbach Jeconiah Louis ,   Department of Filipino, De La Salle University, 2401 Taft Avenue, Manila 1004, The Philippines, Masalunga Ana Grace R. ,   Department of Psychology, De La Salle University, 2401 Taft Avenue, Manila 1004, The Philippines, Demeterio Feorillo A. ,   Department of Filipino, De La Salle University, 2401 Taft Avenue, Manila 1004, The Philippines
Published: August 2022

Filipinos are said to have a higher appreciation for lighter skin complexion than the darker one. By manipulating the skin colours of some digitally created photographs of non-existent models, this article tested this Filipino attitude by surveying 527 respondents from Metro Manila. This research has not only validated the Filipinos’ appreciation for lighter skin complexion but also established the differences in how male and female respondents rate the attractiveness of light and dark-complexioned male and female models, as well as the differences in how respondents from Generations X and Z rate the attractiveness of the said clusters of models. This article has established the empirical significance in documenting the appreciation of Filipinos for the lighter skin colour and emphasising that aside from generational and sex variations, the sex variations of the models are major factors as well.
Water Interactions – A Systemic View
Authors: Olsson Gustaf
Published: August 2022

During the last two decades, the interrelationship between water and energy has become recognized. Likewise, the couplings to food and agriculture are getting increasingly obvious and alarming. In the last year, a record number of extreme weather events have been reported from most parts of the world. This is a visible demonstration how consequences of climate change must be understood and alleviated. The impacts of economics, lifestyle, and alarming inequalities are becoming increasingly recognisable. If the wealthy part of the world is not willing not make radical changes it does not matter what the less wealthy half of the global population will do to meet the climate and resource crisis.

The purpose of the book is to demonstrate and describe how climate change, water, energy, food, and lifestyle are closely depending on each other. It is not sufficient to handle one discipline isolated from the others. This is the traditional “component view”. The book defines and describes a systems view. The communications and relationships between the “components” have to be described and recognized. Consequently, the development of one discipline must be approached from a systems perspective. At the same time, the success of the systems perspective depends on the degree of knowledge of the individual parts or disciplines. The catchphrase of systems thinking has been caught in the phrase, “The whole is more than the sum of its parts”. The idea is not new: the origin of this phrase is to be found already in Aristotle's Metaphysics more than 2300 years ago.

The text may serve as an academic text (in engineering, economics, and environmental science) to introduce senior undergraduate and graduate students into systems thinking. Too often education encourages a “silo” thinking. Current global challenges can't be solved in isolation; they depend on each other. For example, water professionals should have a basic understanding of energy issues. Energy professionals ought to understand the dependency on water. Economic students should learn more how economy depends on natural resources like energy and water. Economics must include the environmental impact and ecological ceiling of economic activities.

ISBN: 9781789062892 (print)

ISBN: 9781789062908 (eBook)

ISBN: 9781789062915 (ePUB)
Neuropharmacology of Alcohol Addiction with Special Emphasis on Proteomic
Approaches for Identification of Novel Therapeutic Targets
Authors: Mukherjee Sukhes , Ray Suman Kumar
Published: August 2022

Alcohol is a generic pharmacological agent with only a few recognized primary targets. Nmethyl-
D-aspartate, gamma-aminobutyric acid, glycine, 5-hydroxytryptamine 3 (serotonin), nicotinic
acetylcholine receptors, and L-type Ca2+ channels and G-protein-activated inwardly rectifying K
channels are all involved. Following the first hit of alcohol on specific brain targets, the second wave
of indirect effects on various neurotransmitter/neuropeptide systems begins, leading to the typical
acute behavioral effects of alcohol, which range from disinhibition to sedation and even hypnosis as
alcohol concentrations rise. Recent research has revealed that gene regulation is significantly more
complex than previously thought and does not fully explain changes in protein levels. As a result,
studying the proteome directly, which differs from the genome/transcriptome in terms of complexity
and dynamicity, has provided unique insights into extraordinary advances in proteomic techniques that
have changed the way we can analyze the composition, regulation, and function of protein complexes
and pathways underlying altered neurobiological conditions. Neuroproteomics has the potential to
revolutionize alcohol research by allowing researchers to gain a better knowledge of how alcohol impacts
protein structure, function, connections, and networks on a global scale. The amount of information
collected from these breakthroughs can aid in identifying valuable biomarkers for early detection
and improved prognosis of an alcohol use disorder and future pharmaceutical targets for the
treatment of alcoholism.
DFT and Molecular Dynamics Simulation Studies of 4-(2-(2-(2-
Chloroacetamido)phenoxy)acetamido)-3-Nitrobenzoic Acid and 4-(2-
(Benzo[D]thiazol-2-ylthio)acetamido)-3-Nitrobenzoic Acid against Escherichia
coli ParE Enzyme
Authors: Yele Vidyasrilekha , Sanapalli Bharat Kumar Reddy , Mohammed Afzal Azam
Published: August 2022

Background:

The increased emergence of multidrug-resistant bacterial strains is a continuous
life-threatening global problem. The best approach to prevent the reproduction and invasion of the pathogenic
bacteria is to inhibit the replication stage. The untapped molecular machinery involved in the replication
is ParE subunit of topoisomerase IV. In this study, compounds active against the ParE were selected.

Objective:

This study aimed to analyze the electronic parameters, chemical stability, kinetic stability, and
binding modes of the compounds.

Methods:

Density functional theory (DFT) and molecular electrostatic potential (MESP) calculations
were computed using Jaguar with a basis set of 6-31G**++ (B3LYP) in the gas phase. MD simulation was
performed for the 100 ns using Desmond available in Maestro to determine the stability and obtain an
insight into the molecular mechanism of E. coli ParE docked complexes.

Results:

From the DFT calculations, the energy gap ΔE -7.58 and -7.75 eV between the HOMO and
LUMO of both the compounds P1 (4-(2-(2-(2-chloroacetamido)phenoxy)acetamido)-3-nitrobenzoic acid)
and P2 (4-(2-(benzo[d]thiazol-2-ylthio)acetamido)-3-nitrobenzoic acid) explained the chemical and kinetic
stability of the system. MD results demonstrated the minimum fluctuations and conformational stability
of the protein structures.

Conclusion:

The P1 and P2 compounds were chemically and kinetically stable. Furthermore, MD results
demonstrated the stability and inhibitory action of the ligands dependent on hydrophobic, ionic and water
bridges than that of hydrogen-bonding interactions.