bluuebunny/crossref_metadata_2025 huggingface dataset:
Unraveling the Role of Transcription Factor SP1 and H3K9 Acetylation in MGMT Regulation and Temozolomide Resistance in Glioblastoma Multiforme
Authors: Ye liguo , Gu Lingui , Wang Yaning , Xing Hao , Hu Ping , Wang Yu , Ma Wenbin
Published: October 2023

Glioblastoma multiforme (GBM) is recognized as a highly aggressive brain tumor, exhibiting profound resistance to temozolomide (TMZ) chemotherapy. While methylation of the MGMT promoter has been identified as a significant factor determining the response to TMZ, recent evidence indicates that the regulatory mechanisms are multifaceted, involving complex interplays with broader epigenetic and transcriptional landscapes. In this study, we meticulously developed TMZ-resistant GBM cell lines and applied a comprehensive suite of analytical methodologies, including transcriptomic and proteomic analyses, and single-cell transcriptomic profiling, to elucidate the molecular complexities associated with TMZ resistance. Our results demonstrate a crucial correlation between increased levels of H3K9 acetylation (H3K9ac), elevated MGMT expression, and heightened TMZ resistance, a correlation that remains steadfast even in cell lines with methylated MGMT promoters. Simultaneously, we identified the transcription factor SP1 as a key regulator, synergizing with H3K9ac to orchestrate MGMT transcription. Single-cell analysis revealed subtle expression discrepancies among GBM cell subpopulations, with a propensity for elevated H3K9ac pathway activity predominantly in the mesenchymal subtype. As tumors relapsed, we documented a transformation in the cellular character of GBM, migrating from a stem-like state to differentiation. This transition is marked by a progressive upregulation of MGMT, SP1, and H3K9ac. These findings suggest that while the clinical relevance of MGMT promoter methylation is undeniable, a comprehensive understanding of the resistance mechanisms in GBM necessitates a focus on the synergy between histone modifications, transcriptional regulations, and cellular diversity. By deconstructing these intricate relationships, this research enhances our comprehension of the inherent resilience of GBM to TMZ.
Nitrogen leaching and soil nutrient supply vary spatially within a temperate tree-based intercropping system but are unaffected by tree root pruning
Authors: Rivest David , Martin-Guay Marc-Olivier
Published: October 2023

Well-designed temperate tree-based intercropping (TBI) systems can enhance soil nutrient cycling compared to conventional agricultural systems. To improve the TBI designs and their subsequent wide-scale adoption, greater understanding is required regarding the extent to which widely-spaced tree rows and tree management practices influence spatio-temporal dynamics of soil nutrients. Our two-year study (2021 and 2022) assessed N-leaching and soil nutrient supply at increasing distances from tree rows (0, 4, 12, 20 m); the 10-year-old TBI system (50 trees ha− 1) together with agricultural controls was established in southern Québec (Canada). The TBI included hybrid poplars (Populus deltoides × P. nigra) planted alternately with high-value hardwoods in the rows. In each experimental block (n = 3), the TBI system and control were divided into two treatments: without root-pruning vs with (75 cm depth using a sub-soiler). In 2022, NO3− supply rates near tree rows (0 and 4 m) were lower than alley centres (12 and 20 m) and controls. A first structural equation modelling (SEM) analysis revealed that NO3− supply rates were mostly modulated by indirect effects of tree row distance and soil clay content through volumetric water content (VWC). NO3− leaching (40-cm depth) at 0 and 4 m from the tree row was repectively 8.8x and 7.5x lower than that in the control. A second SEM analysis showed direct and indirect (through soil VWC affecting NO3− supply rates) effects of distance from tree rows on NO3− leaching rates. Within TBI greater tree leaf litter dry-mass was trapped at 0 and 4 m vs 12 and 20 m. P and K availability under tree rows was higher than all other distances within cultivated alleys and control plots. P, K, Ca and Mg supplies within cultivated alleys werer generally similar among distances (4, 12, and 20 m) and did not differ from controls. An unexpected lack of effect of tree root pruning was observed regarding soil nutrient supply and N leaching. Clay content was a major driver of soil nutrient supply and N leaching. The role of TBI systems in determining soil nutrient dynamics depended upon the soil nutrient and sampling period that was measured, with greater effects beneath the trees and at the tree-crop interface.
Wastewater Treatment of Food Industry Enterprises Using Electrochemically Generated Ferrates
Authors: Kireev Sergey , Shtepa Vladimir , Kireeva Svetlana , Kozyr Alexey , Shikunets Alexey , Naumov Lev
Published: October 2023

The article considers a complex technology for electrochemical wastewater treatment from a meat processing plant. The process of water treatment includes a sequential processing in graphite and iron anode-based electrochemical modules, and exposure in maturation and homogenization chamber. Ferrate generation has been evidenced in the iron anode-based module, and ferrates concurrently acting as mild oxidants, coagulants, and steel corrosion inhibitors.
Quantitative Interpretation of Potential Field Data Covering Oml 29 and 11 Areas of Niger Delta, Nigeria
Authors: Ofoha C. C , Emujakporue Godwin , Omajene A
Published: October 2023

Hydrocarbon exploration potential of the Niger Delta, Nigeria, without doubt, contributes greatly to the economy of the nation due to its sedimentary thickness. However, the sedimentary thickness of the region has been documented but there is a paucity of information in the usage of the high-resolution aeromagnetic data to determine the sedimentary thickness of Oloibiri (OML 29) and Degema (OML 11) areas. Thus, this study was undertaken to determine the sedimentary thickness of the area using the high-resolution aeromagnetic data acquired from the Nigeria Geological Survey Agency (NGSA). Spectral depth analysis, Standard 3D Euler Deconvolution, and Source Parameter imagine (SPI) techniques were employed to estimate the sedimentary thickness of the area. A true depth of 8.41 km, 7.01 km, and 5.5 km using spectral depth analysis, Euler Deconvolution with a Structural Index (SI) of 1, and Source Parameter Imaging techniques, respectively, were revealed. These values fall within the sedimentary thickness range of the region as the data was employed. Thus, if other conditions are met, the area is plausible for hydrocarbon probing.
Development and validation of a predictive model for double-J stent encrustation after upper urinary tract calculi surgery
Authors: Jia Weihui , Chi Wenyu , Liu Chen , Song Yifen , Yang Shunshun , Yin Chonggao
Published: October 2023

The study is aimed to establish a predictive model of double-J stent encrustation after upper urinary tract calculi surgery. We collected the clinical data of 561 patients with indwelling double J tubes admitted to a hospital in Shandong Province from January 2019 to December 2020 as the modeling group and 241 cases of indwelling double J tubes from January 2021 to January 2022 as the verification group. Univariate and binary logistic regression analysis were used to explore risk factors, the risk prediction equation was established and the receiver operating characteristic (ROC) curve analysis model was used for prediction. In this study, 104 of the 561 patients developed double-J stent encrustation, with an incidence rate of 18.5%. We finally screened out BMI > 23.9 (OR = 1.648), Preoperative urine routine white blood cell quantification (OR = 1.149), double J tube insertion time (OR = 0.566), postoperative water consumption did not reach 2000ml/d (OR = 8.514) a total of 4 Factors build a risk prediction model. From the ROC curve analysis, the area under the curve (AUC) was 0.844, and the maximum Oden index was 0.579. At this time, the sensitivity was 0.735, and the specificity was 0.844. The research established in this study has a high predictive value for the occurrence of double-J stent encrustation in the double-J tube after upper urinary tract stone surgery, which provides a basis for the prevention and treatment of double-J stent encrustation.
Snap Bean Plants' Physio-Biochemical Reactions to Plant Growth-Promoting Rhizobacteria to Mitigate the Negative Effects of Drought Stress
Authors: AbdelMotlb Nora A. , El-Hady Salama A. Abd , Abdel-all Faten S. , Ghoname Abdalla A. , Youssef Sabry M.
Published: October 2023

Purpose Drought is one of the main devastating abiotic stresses on sustainable agriculture and global food security. Enhancement of abiotic and biotic stress tolerance by plant growth–promoting rhizobacteria (PGPR) has been increasingly documented. However, PGPR have not been employed to manage drought stress in snap bean.Methods Therefore, the current study was conducted to assess the beneficial effects of Azospirillum brasilense, Bacillus megaterium, Rhizobium leguminosarum bv. phaseoli, and Pseudomonas fluorescens on snap bean plants cv. Valentino grown in sandy soil under three levels of irrigation (100, 80, and 60% of the estimated crop evapotranspiration) during the 2020 and 2021 seasons to alleviate the detrimental impacts of drought stress. The experimental design was a split plot with three replications. The irrigation water levels were randomly distributed in the main plots, while the PGPR and non-inoculation treatments were randomly dispersed in the subplots.Results The results showed that drought stress decreased plant growth parameters, leaf elemental content, SPAD readings, relative water content, membrane stability index, yield attributes, and water use efficiency and induced increases in proline content and superoxide dismutase, peroxidase, and catalase activities. PGPR application, particularly Bacillus megaterium, significantly enhanced all growth and yield parameters, improved nutrient content, SPAD readings, and relative water content, lowered membrane damage, and accumulated endogenous proline and antioxidant enzymes, causing drought-tolerance. Yield response factors of all PGPR were lower than those of the check plants, indicating their effectiveness in alleviating the detrimental impacts of drought stress.Conclusion In light of these findings, it could be concluded that the PGPR application, especially Bacillus megaterium, could be utilized as a low-cost and an environment-friendly effective strategy to mitigate the negative effects of drought stress on the growth and productivity of snap bean.
Multi-block Relaxed-Dual Linear Inertial ADMM Algorithm for Nonconvex and Nonsmooth Problems with Nonseparable Structures
Authors: Dang Yazheng , Chen Liyuan , Gao Yan
Published: October 2023

In this paper, we propose a multi-block relaxed-dual linear inertial alternating direction method of multipliers algorithm (MBRD-LIADMM) for solving the nonconvex and nonsmooth multi-block optimization problems with nonseparable structures, which combines the inertial technology, the relaxed-dual term and linear ADMM. The paper not only gives the simple condition to ensure the boundedness of the iterative sequence generated by the algorithm, but also proves the global convergence under the help of Kurdyka-Łojasiewicz property, which means that the generated sequence converges to a stationary point of the problem. Finally, two experiments are carried out to demonstrate the feasibility and effectiveness of the proposed algorithm.
Comparison of efficacy and safety of first-line treatment options for unresectable stage III non-small cell lung cancer: a retrospective analysis
Authors: Zhao Luqing , Zhao Zhiting , Yan Xiaoqi , Wu Fei , Sun Ning , Guo Renhong , Hu Xiao , Feng Jifeng , Yu Shaorong
Published: October 2023

Background:Based on PACIFIC trail, durvalumab as consolidation therapy following concurrent chemoradiotherapy (cCRT) has been a new standard treatment for unresectable stage III non-small cell lung cancer (NSCLC). This study retrospectively compared the efficacy and safety of first-line treatments for unresectable stage III NSCLC.
Methods:We retrospectively analyzed 397 patients for unresectable stage III NSCLC. Adverse events and responses were assessed using CTCAE v5.0 and RECIST v1.1.
Results: In negative driver genes group, the radiotherapy group had longer objective response rate (ORR), disease control rate (DCR)and median progression-free survival (mPFS) than the non-radiotherapy group (ORR: 50.94% vs. 30.06%, P＜0.001; DCR: 98.11% vs. 80.37%, P＜0.001; mPFS: 21.00 vs. 8.20 months, P＜0.001), with increased incidence of pneumonia at any grade (P=0.008). In radiotherapy group, the chemoradiotherapy (CRT) plus immunotherapy subgroup had longer mPFS than the CRT subgroup (24.60 vs. 17.90 months, P=0.025), with increased toxicity at any grade (P=0.035). In non-radiotherapy group, the DCR and mPFS were higher in chemoimmunotherapy subgroup versus chemotherapy subgroup (DCR: P＜0.001; mPFS: P＜0.001), with increased toxicity at any grade (P=0.001). In positive driver genes group, the efficacy did not differ among radiotherapy subgroup, targeted therapy subgroup and radiotherapy plus targeted therapy subgroup (ORR: P=0.633; mPFS: P=0.450).
Conclusions: For patients with negative driver genes, the combination of radiotherapy and immunotherapy in the initial treatment were essential to significantly improve the efficacy. For patients with positive driver genes, radiotherapy and targeted therapy showed similar short-term efficacy.
Effects of combination therapy of Antithrombin and Thrombomodulin for Sepsis-associated Disseminated Intravascular Coagulation: A Systematic Review and Meta-analysis
Authors: Totoki Takaaki , Makino Yuto , Yamakawa Kazuma , Koami Hiroyuki , Wada Takeshi , Ito Takashi , Iba Toshiaki
Published: October 2023

Background
Disseminated intravascular coagulation (DIC) syndrome is a highly lethal condition characterized by the complication of multiple organ damage. Although some studies have examined the effects of combined antithrombin (AT) and recombinant thrombomodulin (rTM) in clinical practice, the results are inconsistent and inconclusive. Therefore, we conducted a systematic review of the combined administration of AT and rTM in treating septic DIC to investigate the usefulness of the combination therapy by random-effects analysis model.
Method
We searched electronic databases, including Medline, Cochrane Central Register of Controlled Trials, Scopus, and Igaku-Chuo Zasshi (ICHU-SHI) Japanese Central Review of Medicine Web from inception to January 2022. Studies assessing the efficacy of combined AT and rTM were included. The primary outcome was all-cause mortality, and the secondary outcome was serious bleeding complications. We presented the pooled odds ratio (OR) or hazard ratio (HR) with 95% confidence intervals (CI) depending on reporting results in each primary study.
Results
We analyzed seven enrolled clinical trials, all of which were observational studies. Combination therapy had a non-significant favorable association with lower 28-day mortality compared to monotherapy(HR 0.67 [0.43–1.05], OR 0.73 [0.45–1.18].)The I2 values were 60 and 72%, respectively, suggesting high heterogeneity.
Trial registration
This study was registered in the University Hospital Medical Information Network (UMIN) Clinical Trials Registry (UMIN ID: 000049820).
Adipose stem cells-derived small extracellular vesicles transport Thrombospondin 1 cargo to promote insulin resistance in gestational diabetes mellitus
Authors: Li Huaping , Yang Hao , Liu Jingyan , Yang Hedi , Gao Xinyu , Yang Xiaoying , Liu Zhou , Qian Qiaohui
Published: October 2023

Background
Gestational diabetes mellitus (GDM) is a highly prevalent disease and poses a significant risk to the health of pregnant women. Abdominal adipose tissue (AT) contributes to insulin resistance (IR) associated with GDM. However, the underlying mechanisms remain unclear.
Methods
In this study, we developed a mouse model of GDM by subjecting mice to a high-fat diet. We collected adipose-derived stem cells (ADSCs) from the abdominal and inguinal regions and examined their role in inducing IR in normal tissues through the secretion of small extracellular vesicles (sEVs). The sEVs derived from ADSCs isolated from GDM mice (ADSC/GDM) were found to inhibit cell viability and insulin sensitivity in AML12, a normal mouse liver cell line.
Results
Through proteomic analysis, we identified high levels of the thrombospondin 1 (Thbs1) protein in the sEVs derived from ADSC/GDM. Subsequent overexpression of Thbs1 protein in AML12 cells demonstrated similar IR as observed with ADSC/GDM-derived sEVs. Mechanistically, the Thbs1 protein within the sEVs interacted with CD36 and transforming growth factor (Tgf) β receptors in AML12 cells, leading to the activation of Tgfβ/Smad2 signaling. Furthermore, the administration of LSKL, an antagonistic peptide targeting Thbs1, suppressed Thbs1 expression in ADSC/GDM-derived sEVs, thereby restoring insulin sensitivity in AML12 cells and GDM mice in vivo.
Conclusions
These findings shed light on the intercellular transmission mechanism through which ADSCs influence hepatic insulin sensitivity and underscore the therapeutic potential of targeting the Thbs1 protein within sEVs.
Leveraging Multicore Servers for Enhanced IMRT Radiotherapy Planning
Authors: Riado Juan José Moreno , Martín Savíns Puertas , Redondo Juana López , Ortigosa Pilar Martínez , Garzón Gracia Ester Martín
Published: October 2023

This study enhances the computational efficiency of Radiotherapy Plans (RP) utilized in Intensity Modulated Radiotherapy (IMRT). IMRT is a technique that employs radiation beams with varying angles and intensities to deliver radiation to cancerous tissues while safeguarding healthy organs. The planning methods reliant on the gEUD metric yield radiation plans with exceptional PTV (Planning Target Volume) coverage.Nevertheless, computing these plans is a resource-intensive task that entails adjusting numerous parameters and conducting multiple model evaluations. To address this, we have introduced a novel approach that automates the adjustment of gEUD parameters. This is achieved by combining the EUD model, solved through a gradient descent algorithm, with an evolutionary optimization method that explores the EUD parameter space.Given the high computational demands of this approach, integrating it into clinical settings poses a challenge. Our goal is to tackle this challenge by introducing parallelization and batching strategies that leverage the capabilities of multicore servers, aiming to significantly accelerate the optimization process.To evaluate our proposal, we conducted extensive benchmarking on three distinct multicore platforms with varying micro-architectures, assessed across different batch sizes and threads configurations. Our testing dataset consisted of three Head and Neck (H\&N) patients who were treated using IMRT with nine beams.The results showcase that our approach provides substantial computational speed improvements while consistently generating high-quality RT (Radiation Therapy) plans that conform to clinical constraints.
Associations between the external and personal food environment and eating behavior in relation to socioeconomic status in peri-urban settings: Results from the CIVISANO study in Flanders, Belgium
Authors: Inac Yasemin , D’Hooghe Suzannah , Dyck Delfien , Dury Sarah , Vandevijvere Stefanie , Deforche Benedicte , Clercq Eva M. , de Weghe Nico van , Ridder Karin
Published: October 2023

The prevalence of obesity has increased dramatically over the last decades, with a clear social gradient, affecting more people with lower socioeconomic status (SES). Food environments have been identified as part of the causal chain of this increase. It is hypothesized that people in distinct socioeconomic positions are differently affected by the food environment, with people with lower SES being more susceptible to an unhealthy food environment. Therefore, this study aimed to assess the external (objective) and personal (perceived) domains of the food environment of people with distinct SES and determine which indicators of these domains were associated with eating behavior (i.e. frequency of consumption of fruit and vegetables, fast food, snack and sugar-sweetened beverages). We used both existing GIS data and survey data on socio-demographic characteristics, eating behavior and perceptions on the food environment (25–65 y/o) (n = 497). Both domains of the food environment differed between the respondents with lower and higher SES. However, these differences were not observed for all indicators of the food environment. Additionally, SES moderated the associations of the food environment with all dietary-outcomes under study, except fast food consumption frequency, resulting in non-statistically significant associations among respondents with lower SES and associations in a negative direction for respondents with higher SES.
Performance and energy efficiency: quantization of models for IoT devices
Authors: Hernández Nicolás , Almeida Francisco , Blanco Vicente
Published: October 2023

This document addresses some inherent problems in
Machine Learning (ML), such as the high computational and energy costs associated with their implementation on IoT devices. It aims to study and analyze the performance and efficiency of quantization as an optimization method, as well as the possibility of
training ML models directly on an IoT device. Quantization involves reducing the precision of model weights and activations while still maintaining acceptable levels of accuracy.
Using a facial recognition system developed with TensorFlow and TensorRT as a use case,
Post-Training Quantization and Quantization-Aware Training are employed to reduce computational load and improve energy efficiency.
The computational experience was conducted on a general-purpose computer featuring an Intel i7-1260P processor and an NVIDIA RTX 3080 graphics card used as an accelerator. Additionally, an NVIDIA Jetson AGX Orin was used as an example of an IoT device.
We analyze
the feasibility of training on an IoT device, the impact of quantization optimization on knowledge transfer-trained models,
and evaluate the
differences between Post-Training Quantization and Training-Aware Quantization in such
networks on different devices. Furthermore, the performance and efficiency of NVIDIA's inference accelerator (Deep Learning Accelerator - DLA, in its 2.0 version) available at the Jetson Orin architecture are studied.

We concluded that the Jetson device is capable of performing training on its own. The IoT device can achieve inference performance similar to that of the more powerful processor, thanks to the optimization process, with better energy efficiency. Post-Training Quantization has shown better performance, while Quantization-Aware Training has demonstrated higher energy efficiency. Nevertheless,
since the accelerator cannot execute certain layers of the models, the use of DLA worsens both performance and efficiency results.
Power transformer Fault Diagnosis using Image processing and Convolution Neural Networks
Authors: Kaur Amrinder Kaur , Brar Yadwinder Singh , G Leena
Published: October 2023

This paper presents a novel approach for fault diagnosis in power transformers using Artificial Intelligence (AI) techniques, specifically Convolutional Neural Networks (CNN), in conjunction with Dissolved Gas Analysis (DGA). CNN is a powerful tool commonly employed in image processing, and its application in transformer fault diagnosis is explored here.
Traditionally, the IEC standard includes two primary DGA methods: the ratio method and graphical representation. Surprisingly, these two methods often yield disparate results when applied to the same input data, posing a challenge in fault detection. To address this issue, this paper introduces a unique algorithm based on CNN.The CNN algorithm is employed to diagnose faults in power transformers based on gas ratios. Experimental data sourced from the Punjab State Transmission Corporation Ltd (PSTCL) laboratory serves as input data to showcase the implementation of this innovative CNN approach. During the training phase, gas ratio samples conforming to the IEC method are used. To facilitate this, the data is transformed into image format. Ultimately, the trained classifier successfully identifies six distinct fault types in transformers using gas ratios as inputs.
The results obtained through the proposed CNN algorithm exhibit remarkable performance in distinguishing various transformer fault types. This analysis demonstrates that the CNN-based approach significantly enhances the precision and accuracy of transformer fault identification.
Multi-technique detection of lead iodide hybrid perovskite degradation pathways under varying electric fields
Authors: Lam Yeng , Nguyen Linh Lan , Zhang Qiannan , Bradley David , Salim Teddy , Li Patrick , Mishra Pritish , Mueller Aaron , Mondal Shreyan , Chong Ka Shing , Sum Tze Chien , Hanna John , Duchamp Martial
Published: October 2023

Although hybrid perovskite light-emitting diodes have made significant advances in terms of device performance, the lack of long-term stability remains an impediment to widespread implementation. A unified understanding of the complexity describing the degradation in materials such as methylammonium lead iodide (MAPI) is absent. This work uses low-dose in-situ electron microscopes and time-resolved photoluminescence (TRPL) to demonstrate that material loss is initiated at the MAPI grain boundaries near the negative electrode interface where MA+ is reduced. Above the electrochemical threshold, extensive material volatilization and amorphous layer formation were detected, accompanied by significant PL quenching. High-field solid-state MAS NMR and materials modelling indicates that the MAPI decomposition process is a simultaneous combination of iodine migration, vacancy formation and organic cation decomposition. The 1H MAS NMR data from as-synthesized MAPI reveals direct evidence of pre-existing iodine vacancies that induce the formation of CH3NH2, forming possible dative coordination to the lead framework positions. Subsequent data from MAPI degraded under exposure to electric fields (1.25 and 2.50 V/µm) directly demonstrates the presence of decomposition products such as NH4I, CH3I and CH2I2 through pinhole formation at the electrochemical threshold and more widespread damage induced above this threshold.
Sex-Specific Dysbiotic Bladder Microbiome in CKD Uncovered via High-Throughput Sequencing and Culture
Authors: Liu Fengping , Du Jingjie , Lin Hao , Xu Zhenyi , Tang Yifan , Sun Yifan , Yan Feng , Gu Yifeng , Wang Yang , Guo Wei , Hu Jialin , Tian Yu , Hu Lei , Jiang Peng , Wei Shichao , Gu Chaoqun , Sheng Jiayi , Hu Wenjing , Miller Aaron W. , Wolfe Alan J. , Feng Ninghan
Published: October 2023

Background
High-throughput techniques confirm the human bladder microbiome, but its relation to chronic kidney disease (CKD) remains unexplored. Bladder bacteria may migrate to the kidneys, affecting CKD.
Methods
A cross-sectional study recruited 66 females diagnosed with CKD, 66 males diagnosed with CKD, as well as 22 HCfemales and 22 healthy control (HC) males. Transurethral catheterized urine and fecal samples were collected for 16S rRNA gene sequencing and EQUC. Urinary analysis, kidney function, and serum cytokines were evaluated.
Results
Bladder microbiomes of CKD females and males versus HC females and males differed (FDR < 0.05); however, the difference was more obvious in females. In CKD females, sequencing revealed a depletion of 5 genera, including Lactobacillus, and enrichment of 14 genera, including Escherichia/Shigella, Bifidobacterium, and several clostridial genera (FDR < 0.05), while EQUC detected increased Escherichia and decreased Lactobacillus CKDB (P < 0.05). Escherichia-Shigella was positively associated, whereas Lactobacillus was negatively associated, with CKDB-female serum creatinine (r = 0.285, P = 0.020; r=-0.337, P = 0.006, respectively). Lactobacillus was positively associated with eGFR (r = 0.251, P = 0.042). Some CKD-related serum cytokines were negatively associated with clostridial genera. In contrast, the fecal microbiomes of CKD and HC females and males did not significantly differ in bacterial diversity or composition. However, bladder and fecal microbiomes of CKD females resembled each other more than those of controls, as assessed by the Bray-Curtis Dissimilarity Index (FDR < 0.05).
Conclusions
CKD bladder microbiomes were dysbiotic, especially in females, associated with kidney damage and serum cytokine dysregulation. Increased bladder-fecal microbiome similarity in CKD females implies potential “leaky gut”.
Exposure of High Concentration of Methanol Vapor for Neurological Intoxication in Factory Workers
Authors: Moon Chan-Seok
Published: October 2023

Background
A few studies of biological monitoring of MeOH vapor exposure focused on human subjects were thought to have been reported until 2000. After that until current, the study of MeOH vapor exposure concentration and neurological toxicity as the dose-response relationship for biological monitoring has not been fully studied.
Objective
The study aims to reasonable estimate the step-by-step methanol concentration of neurological toxicity from respiratory exposure in workers.
Methods
The methanol exposure was constituted to focus on respiratory air and symptoms. The previous reports were searched for dose-response relation between methanol vapor concentration and urinary methanol concentration and between methanol vapor concentration and symptoms for representative methanol exposure. Google Scholar (including Korean reports) and PubMed from 1980 to 2023 present were examined as search engines.
Results
Respiratory methanol exposure 93 ppm to 200 ppm of vapor concentration (TLV-TWA of ACGIH) did not show clear symptoms. And their corresponding urinary methanol showed 22 to 42 ppm. Exposure to 459 ppm of vapor was reported to be the symptom of dimmed vision which was the lowest concentration indicating optic nerve disorder. In the 1025.0 ppm of vapor, optic nerve disorders and central nerve disorders occurred.
Conclusions
Respiratory methanol exposure had initiated clinical symptoms as optic nerve toxicity from 459.0 ppm at the vapor phase. In the 1025.0 ppm of vapor, representative symptoms were identified such as optic nerve, and central nerve disorders.
DDE: Deep Dynamic Epidemiological Modelling for Infectious Illness Development Forecasting in Multi-level Geographic Entities
Authors: Liu Ruhan , Li Jiajia , Wen Yang , Li Huating , Zhang Ping , Sheng Bin , Feng David Dagan
Published: October 2023

Understanding and effectively addressing the dynamics of infectious diseases, including global diseases like COVID-19, is crucial for managing the current situation and developing effective intervention strategies. Epidemiologists commonly use epidemiological equations (EE) to model disease progression. Nevertheless, the traditional approach to parameter estimation in EE frequently faces challenges in accurately fitting real-world data, primarily due to factors like the different implementation of social distancing policies and intervention strategies. However, developing high-quality but complex EE models can be time-intensive for epidemiologists. Hence, we introduce a novel method known as the deep dynamic epidemiological (DDE) approach, which integrates the strengths of EE with the capabilities of deep neural networks (DNN) to enhance accuracy. The DDE method incorporates DNNs to model dynamic effects and adapt to evolving situations. It employs the neural ordinary differential equation (ODE) method to solve variant-specific equations, ensuring a precise fit to disease progression in diverse geographic regions. In this study, we introduce four variants of EE customized to address specific scenarios in different countries and regions. We assess the performance of our DDE method using real-world data from five diverse geographic entities (countries: the USA, Colombia, and South Africa; regions: Wuhan in China and Piedmont in Italy). We show that the DDE method outperforms alternative approaches, achieving the highest predictive accuracy in modeling disease progression across all five geographic entities. This paves the way for constructing a simplified EE model for various geographic levels.
Association of BMI with constipation among US adults:NHANES 2005-2010
Authors: Xiang Nengjun , Xu Lulu , qian haihua
Published: October 2023

Objective
This study aims to investigate the relationship between obesity and constipation among American adults.
Methods
We utilized data from the National Health and Nutrition Examination Survey involving adults aged 20 and above (n = 12,499). The study summarizes the weighted prevalence rates of obesity in American adults according to various BMI categories. To assess the association between normal BMI and constipation risk, we employed a weighted multivariate-adjusted logistic regression analysis.
Results
Our analysis revealed that the weighted prevalence rates of constipation differed significantly across BMI categories. Specifically, the rates were 10.67% for BMI < 18 kg/m2, 8.55% for BMI < 25 kg/m2, 6.71% for BMI between 25.0-29.9 kg/m2, and 5.45% for BMI > 30 kg/m2 (P < 0.01). After multivariable adjustment, compared to the underweight range (< 18 kg/m2), the odds ratios for constipation in BMI categories 18.0-24.9 kg/m2, 25.0-29.9 kg/m2, and > 30 kg/m2 are 1.04 (0.60, 1.82), 1.15 (0.92, 1.43), and 1.67 (1.35, 2.07), respectively.
Conclusions
This study reveals a negative correlation between phosphorus intake and chronic constipation.
NNN Pincer Palladium(II) Complexes with N-(2-(1H-Pyrazol-1-yl)Phenyl)-Picolinamide Ligands: Synthesis, Characterization, and Application to Heck Coupling Reaction
Authors: Xu Yongli , Wang Tao , Li Yonghua , Li Shuxiao , Zhang Yifan , Wang Jiaming , Li Fei , Jiang Heng
Published: October 2023

A series of novel NNN pincer palladium(II) complexes with N-(2-(1H-pyrazol-1-yl)phenyl)-picolinamide ligands 6 were prepared and characterized by spectroscopic methods. In addition, the molecular structures of complexes 6a and 6i have also been determined by X-ray single-crystal diffraction. The obtained palladium(II) catalysts showed efficient catalytic activity toward the Heck coupling of aryl bromides with olefins. Under the optimal reaction conditions, the expected various styrenes were obtained in moderate to high yields.
Analysis of the onset, withdrawal, and variability of monsoon rainfall in the face of climate change
Authors: Shariot-Ullah Md , Akhter Salma , Acharjee Tapos Kumar , Hasan Md Moudud
Published: October 2023

The study of rainfall variability is important to reveal the detailed characteristics of the precipitation system under climate change. The variation in monsoon rainfall during 1991–2015 in the northwestern hydrological zone in Bangladesh, which includes the Bogura, Rangpur, Dinajpur, Rajshahi, and Pabna meteorological stations, was analyzed to examine the past trend, arrival, and withdrawal pattern, and shifting of monsoon rainfall. The annual total rainfall and monsoon rainfall were analyzed to evaluate their trend using a statistical model called MAKESENS. Approximately 71–78% of the total rainfall occurred during the monsoon season at all stations. Rangpur was the rainiest station (2193 mm/year) and Rajshahi was the driest station (1394 mm/year). There was a decreasing trend of annual rainfall at most of the stations. The arrival and withdrawal days of the monsoon rainfall at all stations were highly variable; the arrival day varied between 1 May and 23 August, and the withdrawal day varied between 19 August and 27 October. The monsoon arrived early by 2 to 39 days and late by 1 to 72 days from the reference day (1 May). The withdrawal of monsoon rainfall occurred 1 to 38 days early and 1 to 39 days late from the reference day. The shifting of the monsoon did not reveal any significant pattern. The results of this study can be used to plan and manage agricultural practices at the local level of the northwestern Bangladesh.
Impact of climate change on groundwater resources in Jordan: a case study of Amman Zarqa basin
Authors: Kloub Abdulrahman , Alzboon Kamel k.
Published: October 2023

Climate change has added new challenges to water resource management in Jordan. Climatic change was determined for 27 climatic indicators using Climdex software. In addition, the Statistical Downscaling Model software (SDSM) based on three emissions scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) was used to obtain future predictions related to rainfall rates, humidity, and minimum and maximum temperatures. For the groundwater system, MODFLOW was used for groundwater modeling in the study area. The results of Rclimdex analysis showed decreasing trends in precipitation indices during the study period, with a decrease of 0.048/year in the simple daily intensity index (SDII) and a decrease of 0.299/year in the annual count of days with PRCP ≥ 10 mm (R10mm). The results also showed a decrease in the extremely wet days index (R99p) with a slope of 1.458/year. The results of SDSM suggest a possible decrease in annual precipitation in 2070 compared to 2020 by approximately 34%, 22% and 12% for RCP 8.5, RCP 4.5 and RCP 2.6, respectively. The simulation results showed that the groundwater levels in the study area could drop dramatically at rates of more than 1 m/year, 0.7m/year, and 0.45m/year for RCP 8.5, RCP 4.5 and RCP 2.6, respectively.
A novel method for detecting conformation-dependent β-glucans - Single, double, and triple-helical from Shiitake mushroom
Authors: Chakraborty Shuvarghya , Beura Muskan , Devi Konjengbam Sarda , Singh Akoijam Ratankumar , Keerthana CS , Sharma Susheel Kumar , Singh Archana , Dahuja Anil , Krishnan Veda
Published: October 2023

This pioneering study explores the structural intricacies of therapeutic β-glucan in Shiitake (Lentinula edodes), i.e. Lentinan (LNT). Lentinan, a neutral polysaccharide [β-(1,3; 1,6) glucan], exists in three forms; single, double, and triple-helical, but conformation-dependent bioactivity studies are lacking. Many more, methods to estimate and quantify conformation-dependent forms can translate to structure-functionality relationships. In this context, we meticulously assessed indigenous Shiitake accessions from Northeast India, unveiling the conformational spectrum of LNT through an innovative pipeline. The experiment approached the simultaneous estimation of total glucan (TG), triple helical glucan (THG), and single-double helical glucan (SDG). Profiling revealed the exceptional LNT content in DMRO-623 (TG: 46.74%, SDG: 9.34%, THG: 37.39%) which emerged as the highest documented to date. Beyond the culinary delight, this research and the novel approach to LNT quantification will create a pivotal platform for advanced mushroom research, offering prospects for novel discoveries, innovative applications, and therapeutic potential.
Purification and inhibitor screening of the full-length SARS-CoV-2 nucleocapsid protein
Authors: Chen Chen , Zhang Zhengfu , Xia Yi , Zheng Qiao , Zhang Shujun
Published: October 2023

Since the end of 2020, the SARS-CoV-2 strain has undergone several mutations, and new variants continue to emerge. The immune escape ability of the mutants has enhanced, showing robust transmissibility. The neutralizing ability of the neutralizing antibodies produced during previous infections decreased in some mutants. This poses a severe challenge to the preventive and therapeutic effectiveness of vaccines and antibody drugs. Nucleocapsid protein, one of the main structural proteins of the coronavirus, plays an important role in the life cycle of the novel coronavirus and has proven to be one of the key targets for drug development. The first key step in drug development is to obtain pure nucleocapsid proteins. However, as nucleocapsid proteins have a nucleic acid binding function and can automatically undergo liquid–liquid phase separation and agglomerate, the purification of full-length nucleocapsids is extremely challenging. In this study, a set of easy-to-operate processes for the purification of nucleocapsid protein was developed. Finally, a pure full-length nucleocapsid protein without nucleic acid contamination was obtained. Subsequently, we also targeted the nucleic acid binding domain of the nucleocapsid protein and screened for potential SARS-CoV-2 inhibitors using virtual screening and biolayer interferometry (BLI) technology. Finally, a small molecule inhibitor, Light Green SF (KD = 19.9 µM), which can bind to nucleocapsid protein, was identified. In the future, we will continue to conduct more in-depth research and attempt to develop drugs that possess a good inhibitory effect on the current novel coronavirus mutants.
Water productivity maximization and ecosystem monitoring to estimate tourism economic value
Authors: Fu Maozheng , Luo Zhenrong , Feng Liying , Que Xiaoping
Published: October 2023

Water supply from a common pool resource based on productivity indicators for different uses is one of the goals of planning in dry areas. Productivity indicators are defined based on time, geographical location and hydrological conditions in the form of food security, economic benefits and ecosystem restoration. This study was conducted in order to evaluate the contrast between economic criteria and food security in the exploitation of water resources in Lu'an city in Anhui province of China. Probabilistic modeling based on the prediction of uncertain values using the Latin hypercube technique was used for hydrological variables and water resources. The method of data mining and trend analysis of dependent variables was also simulated to estimate economic values in the water cycle. Statistical information of 32 years from 1991 to 2022 has been collected and used as an annual average per population. The results showed that the economic value of water consumption in the tourism industry has increased compared to agriculture. The total water provided for food security is equal to 6.5 m3 per person, the excess of which can be allocated to other uses through weighting indicators based on ecosystem and quality.
Theories and limitations of EU-friendly interpretation of the Polish Constitution
Authors: Kos Katarzyna
Published: October 2023

The article concerns the issue of theories and limitations of EU-friendly interpretation of the Polish Constitution. It discusses two theories, which are a basis for this method of interpretation of the Constitution: “theory of the multicentricity of legal systems” and “theory of the Europeanisation of the Constitution”. The author notices that both of them focus on legal interpretations but do not satisfactorily explain the basis of the growing impact of EU law on understanding constitutional regulations. They propose some thesis concerning legal interpretations that are implied from observing reality and they attempt to indicate the necessity for EU-friendly interpretations of the Constitution. Thus, it is significant to formulate frames for applying this method of interpretation. The article systematizes limits of EU-friendly interpretation of the Constitution, particularly concentrating on the prohibition of contra legem interpretation, prohibition of interference in the “constitutional identity” and guarantee of a higher standard of system of human rights. There are also considered problems that result from these limitations.
Взаимосвязь архетипа индивида с восприятием образа его будущего
Authors: Рощупка Алина С.
Published: October 2023

В разделе «Введение» автор приводит актуальность взаимосвязи архетипа индивида с восприятием его образа будущего, опираясь на теорию Карла Юнга. Актуальность заключается в возможности получить качественно новые данные, так как ранее изучение подобной взаимосвязи не было обнаружено. Анализируя статьи, посвященные тематике архетипов, автор привёл описание основных 12 архетипов, на которые и были классифицированы испытуемые благодаря методике Кэрол Пирсон. Каждый из основных типов описан с точки зрения главных характеристик и страхов.  Целью эмпирического исследования и анализа теоретической составляющей выступает изучение тенденций к построению различных образов собственного будущего у представителей определённых архетипов. В разделе «Результаты» автор анализирует данные о восприятии респондентами временной перспективы в целом: образ настоящего, образ прошлого и образ будущего в частности и показывает, каким получилось распределение по типам среди респондентов. Также достаточные важные данные удалось получить благодаря интеграции в исследование методики «Опросник аттрибутивного стиля», так удалось укрепить уверенность в том, что люди архетипа «Правитель» более склонны воспринимать собственное будущее в позитивном ключе. Раздел «Обсуждение результатов» содержит в себе рефлексию на тему того, какие личностные характеристики определённых архетипов взаимосвязаны с большей склонностью воспринимать будущее положительно. Таким образом, автором статьи впервые была рассмотрена взаимосвязь архетипов и построения образа будущего у их обладателей.
Использование альтернативных средств коммуникации с помощью предметного PECS в рамках обучения детей с ДЦП с применением основ Аba-терапии
Authors: Андрусенко Владислав М. , Попова Екатерина А. , Римская Татьяна О.
Published: October 2023

Система альтернативной коммуникации предметного PECS (Picture exchange communication system), что в переводе означает коммуникационная система обмена изображениями, оказывает исключительно позитивное влияние на обучение детей с определенными нарушениями здоровья, в том числе с диагнозом детского церебрального паралича (МКБ10: G80, МКБ11:8D20-8D23,8D2Y, 8D2Z). В представленном исследовании отражены материалы теоретического исследования и обзор трудов об эффективности использования системы альтернативной коммуникации PECS. Особое внимание было обращено на эмпирические исследования отечественных ученых О. С. Никольской, Е.Р. Баенской, М.М. Либлинга для дальнейшего обобщения результатов по вопросу эффективного использования альтернативных средств коммуникации с помощью предметного PECS в рамках обучения детей с ДЦП. Стоит отметить, что для детей с ДЦП использование карточек PECS доставляет ряд неудобств, а иногда бывает невозможным, в альтернативных средствах коммуникации можно использовать предметные материалы.
Роль эмоционального интеллекта в развитии билингвов и его связь с языковыми способностями: литературный обзор
Authors: Ожерельева Анна Н. , Денисова Екатерина Г.
Published: October 2023

Введение. Нами исследуются теоретические представления и эмпирические данные о влиянии эмоционального интеллекта на развитие психики билингвов, а также связь эмоционального интеллекта с языковыми способностями. Рассмотрены трудности в развитии детей-билингвов и роль эмоционального интеллекта в преодолении этих трудностей. Целью работы является теоретический анализ влияния эмоционального интеллекта на развитие естественных билингвов и их языковые способности, анализего роли эмоционального интеллекта в развитии искусственных билингвов, в частности, в преодолении языковой тревожности. Теоретическое обоснование. Дети, обладающие высоким уровнем эмоционального интеллекта, испытывают достоверно меньше трудностей в определении эмоционального содержания речи при общении на разных языках. Эмоциональный интеллект помогает в освоении второго языка искусственным билингвам. При этом обучение второму языку является хорошим инструментом в развитии эмоционального интеллекта, так как является одним из компонентов успешной коммуникации.  Обсуждение результатов. Уровень эмоционального интеллекта в развитии билингвов является существенным фактором, который положительно влияет на развитие языковых способностей и академическую успеваемость в целом, стабильность психологического статуса, успешность в межличностных отношениях, а также способствует конструктивному формированию языковой личности.