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A longstanding project of the chemical kinetics community is to predict reaction rates and the behavior of reacting systems, even for systems where there are no experimental data. Many important reacting systems (atmosphere, combustion, pyrolysis, partial oxidations) involve a large number of reactions occurring simultaneously, and reaction intermediates that have never been observed, making this goal even more challenging. Improvements in our ability to compute rate coefficients and other important parameters accurately from first principles, and improvements in automated kinetic modeling software, have partially overcome many challenges. Indeed, in some cases quite complicated kinetic models have been constructed which accurately predicted the results of independent experiments. However, the process of constructing the models, and deciding which reactions to measure or compute ab initio, relies on accurate estimates (and indeed most of the numerical rate parameters in most large kinetic models are estimates.) Machine‐learned models trained on large datasets can improve the accuracy of these estimates, and allow a better integration of quantum chemistry and experimental data. The need for continued development of shared (perhaps open‐source) software and databases, and some directions for improvement, are highlighted. As we model more complicated systems, many of the weaknesses of the traditional ways of doing chemical kinetic modeling, and of testing kinetic models, have been exposed, identifying several challenges for future research by the community. [ABSTRACT FROM AUTHOR]

This study focuses on the simulation of the natural attenuation of groundwater contaminated by acid-leached uranium at a decommissioned uranium mining site. Although natural attenuation by mixing and dilution, pH buffering, adsorption, and reduction has been well described, little research on the simulation of the natural attenuation of groundwater U6+ and sulfuric acid in sandstone aquifers after mining has been performed. Using PHREEQC Version 3 software and the minteq.v4.dat database, in this paper, the thermodynamic adsorption equilibrium constants and adsorption site parameters were modified based on the experimental results of the mineral composition, chemical reactions, U6+ adsorption, and SO42− reduction reactions. This study provides a basis for establishing detailed environmental background data files, conducting laboratory experiments, and predicting the natural attenuation capability of sandstone aquifers at uranium mining sites and their surrounding areas. [ABSTRACT FROM AUTHOR]

Phase equilibria for the CaO–MgO–SiO2–13 wt pct Al2O3–50 wt pct TiO2 system were experimentally investigated at 1400 °C in air atmosphere, employing the high-temperature equilibration and quenching method. Seven distinct phases were identified, encompassing a liquid phase, a liquid phase with perovskite (CaTiO3), a liquid phase with rutile (TiO2), a liquid phase with anosovite (M3O5), a liquid phase with anosovite and rutile, a liquid phase with anosovite and spinel, and a liquid phase with perovskite and spinel. Additionally, an experimentally verified isotherm at 1400 °C was obtained and conducted a comparative analysis with predictions generated using FactSage software. Overall, the FactSage 8.1 software exhibited a notable tendency to overestimated the liquidus temperatures in the M3O5 and spinel phases regions when compared to the experimentally determined values. This disparity may be attributed to limitations in the FactSage 8.1 software database which lack of Al2TiO5 in the "FToxid-PSEU" solution species, as it indicated a large liquid phase region in the CaO–MgO–SiO2–13 wt pct Al2O3–50 wt pct TiO2 system at 1400 °C than what we experimentally determined. [ABSTRACT FROM AUTHOR]

Simple Summary: Gastrointestinal parasites (GIPs) coevolved with mammalian hosts over millennia. These parasites produce small molecules, peptides, and proteins not only to evade or combat the host's immune response, but also to protect their host for longer coexistence. The emerging field of parasitomics uses various techniques, databases, and software associated with LC-MS (liquid chromatography–mass spectrometry), NMR (nuclear magnetic resonance), and other mass spectrometry platforms to study the polar and lipid molecules produced by GIPs. Recent advancements in AI-assisted tools and databases have significantly advanced this field, offering new insights into host–parasite interactions, immunomodulation and biochemical pathways. As research progresses, parasitomics promises to deepen our understanding of these complex relationships. Gastrointestinal parasites (GIPs) are organisms known to have coevolved for millennia with their mammalian hosts. These parasites produce small molecules, peptides, and proteins to evade or fight their hosts' immune systems and also to protect their host for their own survival/coexistence. The small molecules include polar compounds, amino acids, lipids, and carbohydrates. Metabolomics and lipidomics are emerging fields of research that have recently been applied to study helminth infections, host–parasite interactions and biochemicals of GIPs. This review comprehensively discusses metabolomics and lipidomics studies of the small molecules of GIPs, providing insights into the available tools and techniques, databases, and analytical software. Most metabolomics and lipidomics investigations employed LC-MS, MS or MS/MS, NMR, or a combination thereof. Recent advancements in artificial intelligence (AI)-assisted software tools and databases have propelled parasitomics forward, offering new avenues to explore host–parasite interactions, immunomodulation, and the intricacies of parasitism. As our understanding of AI technologies and their utilisation continue to expand, it promises to unveil novel perspectives and enrich the knowledge of these complex host–parasite relationships. [ABSTRACT FROM AUTHOR]

Introduction: Non-Specific Chronic Low Back Pain (NSCLBP) is a prevalent non-communicable disease in India, burdening individuals psychologically and socially. Due to economic constraints, people prefer self-management rather than seeking professional advice. Therefore, their go-to search strategy for self-management is social media platforms. Many researchers have identified a lack of evidence in these social media videos. Aim: To develop and evaluate the feasibility of a blended physiotherapeutic module for young adults with NSCLBP. Materials and Methods: This feasibility study was conducted at Nitte Institute of Physiotherapy, NITTE (Deemed to be University), Deralakatte, Mangaluru, Karnataka, India from July 2023 to December 2023. This study involved three phases: identifying modifiable risk factors for exercise adherence in individuals with NSCLBP, developing a module, and evaluating its feasibility. Twenty-four young individuals with low back pain were given the blended physiotherapeutic module for four weeks, consisting of three sessions per week. The first two sessions were conducted online, and the following session was face-to-face. The data were analysed using SPSS software (SPSS Inc.; Chicago, IL) version 29.0.10. The collected data were summarised using Descriptive Statistics: frequency, percentage; mean, and Standard Deviation (SD). To compare the Quebec Back Pain Disability Scale (QBPDS) and Numerical Pain Rating Scale (NPRS) scores, repeated measures ANOVA was employed. The Bonferroni test was utilised for pairwise comparisons of QBPDS and NPRS scores. A p-value <0.05 was considered significant. Results: In this study, the average percentage of individuals who performed exercises for four weeks was 22 (91.7%), indicating high adherence. There was a significant difference (p-value < 0.05) in the QBPDS as well as the NPRS from baseline to weeks -2, 3, and 4. Conclusion: The developed blended physiotherapeutic module for NSCLBP individuals was found to be feasible. Positive results were identified in reducing pain and disability after two weeks. This study aids individuals struggling with physiotherapy exercises in a digitalised society, suggesting that future research could incorporate real-time movement analysis and regional language databases and software that should be validated. [ABSTRACT FROM AUTHOR]

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Bridge management is a complex and challenging task at global scale. The main purpose of bridge management is to facilitate the identification of bridge deficiencies in order to carefully plan and execute maintenance operations, and ensure the continued safety of traffic. In 2020, the Italian Ministry of Infrastructure issued mandatory guidelines for risk classification and management, safety assessment and monitoring of bridges. These guidelines rely upon bridge inventory, which includes a number of heterogeneous inspection data organized in different files. This paper presents a hardware and software architecture for the automatic entry of all inspection data (e.g. spatial information, sheets and photos) in a relational spatial database and their visualization through a Desktop and Web GIS (Geographic Information System) application. The procedure is summarized in a new Bridge Management System (BMS), whose main novelty is the full control of the georeferenced infrastructures, with the opportunity of improving the status check and management of bridges and their components. The BMS has been developed using data collected during inspection surveys requested by the Consortium of Sicilian Highways on the conditions of the bridges and viaducts belonging to motorways in Sicily (Italy). The developed system overcomes most of the common limitations in existing BMSs, such as the limited capacity of visualizing geospatial data and the reduced supported data formats, providing a valid Decision Support System in evaluating and prioritizing repair and maintenance actions. [ABSTRACT FROM AUTHOR]

Digital servitization (DS) enabled by the Industrial Internet of Things (IIoT) is essential for securing long-term competitiveness in manufacturing. The literature identifies the need for developing data models for multichannel communications across IIoT devices that fulfil the DS vision. This is crucial for avoiding isolated systems based on proprietary solutions and for promoting data sharing and interoperability across existing and future DS applications. Accordingly, this study proposes a data model for multichannel communication that facilitates IIoT-enabled DS for smart production logistics (SPL). We present three findings from a case study focussing on material handling in a manufacturing company. First, this study provides a model with four modelling profiles, including IIoT devices, databases, and services for multichannel communication. Second, it shows how the proposed modelling profiles transfer information across monitoring, control, optimisation, and autonomous decision services. Third, it presents the operational benefits of applying the proposed data models, including improvements in the delivery, makespan, and energy of material handling. These findings are essential for capturing, processing, and transferring information across products, services, and software databases in IIoT-enabled DS for SPL. They are relevant for manufacturing managers and academics and improve our understanding of IIoT-enabled DS's deployment for SPL in manufacturing. [ABSTRACT FROM AUTHOR]

We evaluated the performance of Zybio EXS2600 matrix‐assisted laser desorption ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) (Zybio Inc., Chongqing, China) for the identification of bacteria from positive blood culture (BC) bottles using Blood Culture Positive Sample Pretreatment Kit (Zybio Inc., Chongqing, China) in comparison to an in‐house saponin method. Following a positive signal by the BACTEC™ FX system, confirmation of identification was achieved using subcultured growing biomass used for MALDI‐TOF MS analysis. A total of 94 positive BC bottles with 97 bacterial isolates were analyzed. The overall identification rates at the genus and species levels for the saponin method were 89.7% (87/97) and 74.2% (72/97), respectively. With the Zybio Kit, 88.7% (86/97) and 80.4% (78/97) of microorganisms were correctly identified to the genus and species levels, respectively. The saponin method identified 65.3% (32/49) of Gram‐positive bacteria at the species level, whereas the Zybio Kit achieved a higher species‐level identification rate of 79.6% (39/49) (p = 0.1153). The saponin method with additional on‐plate formic acid extraction showed a significantly higher overall identification rate in comparison to the saponin method without that step for both genus (87.6% [85/97] vs. 70.1% [68/97], p = 0.0029) and species level (70.1% [68/97] vs. 46.4% [45/97], p = 0.0008). Identification rates of Gram‐negative bacteria showed a higher identification rate, however, not statistically significant with additional Zybio Kit protocol step on both genus (85.4% [41/48] vs. 81.3% [39/48], p = 0.5858) and species level (77.1% [37/48] vs. 75% [36/48], p = 0.8120). Zybio Kit could offer an advantage in species‐level identification, particularly for Gram‐positive bacteria. The inclusion of on‐plate formic acid extraction in the saponin method notably enhanced identification at both genus and species levels for Gram‐positive bacteria. The extended protocol provided by the Zybio Kit could potentially offer an advantage in the identification of Gram‐negative bacteria at both genus and species levels. Enhancements to the Zybio EXS2600 MALDI‐TOF instrument software database are necessary. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to present a repository of image databases whose features are augmented with embedded vector field (VF) features. The repository is designed to provide the user with image databases that enhance machine learning (ML) classification. Also, six VFs are provided, and the user can embed them into her/his own image database with the help of software named ELPAC. Three of the VFs generate real-shaped singular points (SPs): springing, sinking, and saddle. The other three VFs generate seven kinds of SPs, which include the real-shaped SPs and four complex-shaped SPs: repelling and attracting (out and in) spirals and clockwise and counterclockwise orbits (centers). Using the repository, this work defines the locations of the SPs according to the image objects and the mappings between the SPs' shapes if separate VFs are embedded into the same image. Next, this paper produces recommendations for the user on how to select the most appropriate VF to be embedded in an image database so that the augmented SP shapes enhance ML classification. Examples of images with embedded VFs are shown in the text to illustrate, support, and validate the theoretical conclusions. Thus, the contributions of this paper are the derivation of the SP locations in an image; mappings between the SPs of different VFs; and the definition of an imprint of an image and an image database in a VF. The advantage of classifying an image database with an embedded VF is that the new database enhances and improves the ML classification statistics, which motivates the design of the repository so that it contains image features augmented with VF features. [ABSTRACT FROM AUTHOR]

The aim of the study is to create an e-hospital to meet the needs of patients with modern capabilities in the field of information technology. Diploma work on raised and solved issues is devoted to the creation of an electronic information system for hospitals. Methods: The theoretical analysis is based on specific literature and websites, and the comparative analysis is based on existing e-hospital systems. Scientific innovation: The work is practical in nature. The result is a non-commercial application that can be used by any hospital. Rezults: The following problems were solved in the system: - Existing systems in electronic hospitals have been studied, their working principles have been analyzed, their advantages and disadvantages have been identified and system requirements to the system have been determined; - a conceptual model of the MsSql electronic hospital was created; - The operating modes of the system were defined and the software was designed to implement business regimes; The scientific and practical significance of the work lies in the fact that information technology (IT) develops day by day. Literature related to IT is constantly being improved and updated. Therefore, the creation of an electronic information system for information technology is almost very important. The creation of such hospitals and their connection to the Internet is of special scientific importance. The system was implemented in the C # programming environment and a user interface was created. The data was stored in the MsSql database and managed by the SqlServerManagement management system. [ABSTRACT FROM AUTHOR]

In the realm of cloud computing, ensuring the dependability and robustness of software systems is paramount. The intricate and evolving nature of cloud infrastructures, however, presents substantial obstacles in the pre-emptive identification and rectification of software anomalies. This study introduces an innovative methodology that amalgamates hybrid optimization algorithms with Neural Networks (NN) to refine the prediction of software malfunctions. The core objective is to augment the purity metric of our method across diverse operational conditions. This is accomplished through the utilization of two distinct optimization algorithms: the Yellow Saddle Goat Fish Algorithm (YSGA), which is instrumental in the discernment of pivotal features linked to software failures, and the Grasshopper Optimization Algorithm (GOA), which further polishes the feature compilation. These features are then processed by Neural Networks (NN), capitalizing on their proficiency in deciphering intricate data patterns and interconnections. The NNs are integral to the classification of instances predicated on the ascertained features. Our evaluation, conducted using the Failure-Dataset-OpenStack database and MATLAB Software, demonstrates that the hybrid optimization strategy employed for feature selection significantly curtails complexity and expedites processing [ABSTRACT FROM AUTHOR]

Neurocysticercosis (NCC), a major cause of global acquired epilepsy, results from Taenia solium larval brain infection. T. solium adult worms release large numbers of infective eggs into the environment contributing to high levels of exposure in endemic areas. This study identifies T. solium proteins in the sera of individuals with and without NCC using mass spectrometry to examine exposure in endemic regions. Forty‐seven patients (18–51 years), 24 parenchymal NCC (pNCC), 8 epilepsy of unknown aetiology, 7 glioma, 8 brain tuberculoma, and 7 healthy volunteers were studied. Trypsin digested sera were subject to liquid chromatography–tandem mass spectrometry and spectra of 375–1700 m/z matched against T. solium WormBase ParaSite database with MaxQuant software to identify T. solium proteins. Three hundred and nineteen T. solium proteins were identified in 87.5% of pNCC and 56.6% of non‐NCC subjects. Three hundred and four proteins were exclusive to pNCC sera, seven to non‐NCC sera and eight in both. Ten percent, exhibiting immune‐modulatory properties, originated from the oncosphere and cyst vesicular fluid. In conclusion, in endemic regions, T. solium proteins are detected in sera of individuals with and without pNCC. The immunomodulatory nature of these proteins may influence susceptibility and course of infection. [ABSTRACT FROM AUTHOR]

The study was carried out to examine the availability of operating system software and CD-ROM databases as tools for information delivery in university e-libraries in South-South Zone Nigeria. The study was a survey. A sample size of 214 e-library staff in the study area was used for the study. Out of 214 structured questionnaires administered only 208 were retrieved giving a 97 per cent response rate and used for the study. Analysis of data was done using Simple Linear Regression analysis. The findings showed that, operating system software and CD-ROM databases significantly predict information delivery in University e-libraries. On the basis of the findings, it was recommended that; the government at the federal and state levels should endeavour to equipped e-libraries in the study area with up-to-date computer systems with relevant operating systems to facilitate information delivery; adequate CD-ROM databases should be subscribed to for onward delivery of information in e-libraries. [ABSTRACT FROM AUTHOR]

Risk adjustment systems, which reallocate funds among competing health insurers, often use risk adjustors that are based on utilization. The level of utilization that triggers an adjustor—the utilization threshold—is frequently chosen implicitly and uniformly. I study utilization thresholds empirically in the setting of the US Marketplaces. I demonstrate how an explicit choice of such thresholds, tailored to each adjustor, may improve the prediction fit of the risk adjustment system and decrease the incentives to game it. Using simulations, I find that a single alternative threshold may improve the prediction fit in some disease groups by up to 14 percent. A choice of multiple utilization thresholds, guided by a regression tree algorithm, may further improve fit while taking into account the effect on gaming incentives. [ABSTRACT FROM AUTHOR]

Large-scale association analyses using whole-genome sequence data have become feasible, but understanding the functional impacts of these associations remains challenging. Although many tools are available to predict the functional impacts of genetic variants, it is unclear which tool should be used in practice. This work provides a practical guide to assist in selecting appropriate tools for variant annotation. We conducted a MEDLINE search up to November 10, 2023, and included tools that are applicable to a broad range of phenotypes, can be used locally, and have been recently updated. Tools were categorized based on the types of variants they accept and the functional impacts they predict. Sequence Ontology terms were used for standardization. We identified 118 databases and software packages, encompassing 36 variant types and 161 functional impacts. Combining only three tools, namely SnpEff, FAVOR, and SparkINFERNO, allows predicting 99 (61%) distinct functional impacts. Thirty-seven tools predict 89 functional impacts that are not supported by any other tool, while 75 tools predict pathogenicity and can be used within the ACMG/AMP guidelines in a clinical context. We launched a website allowing researchers to select tools based on desired variants and impacts. In summary, more than 100 tools are already available to predict approximately 160 functional impacts. About 60% of the functional impacts can be predicted by the combination of three tools. Unexpectedly, recent tools do not predict more impacts than older ones. Future research should allow predicting the functionality of so far unsupported variant types, such as gene fusions. URL: https://cardio-care.shinyapps.io/VEP%5fFinder/. Registration: OSF Registries on November 10, 2023, https://osf.io/s2gct. [ABSTRACT FROM AUTHOR]

As a result of the advancement, availability, and accessibility of bibliometric software and scientific databases in recent decades, bibliometric analysis has become increasingly popular in recent decades as a tool for evaluating and analyzing researchers' and research center collaborations. This rising popularity can be attributed to bibliometrics' ability to reveal patterns and quantify the productivity and influence of scientific publications using quantitative measures. By detecting citation trends and collaborations within scientific domains, bibliometric analysis seeks to assess the impact of academics' work. Additionally, bibliometrics helps academics and organizations make well-informed choices about financing, partnerships, and marketing. Bibliometric analysis not only helps academics monitor the influence of their own work over time, but it also helps them find new fields of research and possible collaborators. [ABSTRACT FROM AUTHOR]

Objectives: The differences in chemical constituents in different parts of Tetrastigma hemsleyanum were analyzed. Methods: The contents of total phenols, total flavonoids, and polysaccharides in methanol extracts from different parts of T. hemsleyanum in Zhejiang were determined, and the chemical components of different parts of T. hemsleyanum were collected by ultra-performance liquid chromatography-tandem quadrupole-time-of-flight mass spectrometry. The differential index components of different parts of T. hemsleyanum were identified and analyzed by accurate mass-to-charge ratio of primary mass spectrometry and fragment ion of secondary mass spectrometry with reference spectrum and software database search and related literature reports. Results: A total of 20 components were identified, including 13 identified in root tubers, 7 in fibrous roots and 8 in leaves, and the structural cleavage of its compounds was analyzed. Conclusion: It provides a possibility and theoretical basis for the future use of the whole plant of T. hemsleyanum as medicine. [ABSTRACT FROM AUTHOR]

Purpose: In today's complex and rapidly changing business environment, cross-boundary growth is increasingly critical to the survival or even success of organizations. The purpose of this study is to examine the forming mechanism of firm's cross-boundary growth by integrating the two important antecedent factors of performance pressure and managerial discretion into a united framework and theoretically analyze the direct role of performance pressure on firm's cross-boundary growth as well as reveal the moderating role of managerial discretion. Also, the authors select listed manufacturing companies in China as samples to empirically test the research hypotheses. Design/methodology/approach: The authors design a multiple regression model to perform empirical analysis by using a panel of 4,002 year-observations in 1,334 listed manufacturing companies between 2013 and 2016. The sample data sources mainly come from the Wind Database, which is mainland China's leading financial database and software services provider. The hypotheses proposed are tested by adopting a panel data set of the listed manufacturing companies of China. Findings: Empirical results show that performance pressure has a positive effect on the cross-industry growth and cross-domestic regional growth but a negative effect on the cross-international regional growth, and managerial discretion has a different moderating effect. Specifically, capital intensity strengthens the positive effect of performance pressure on cross-industry growth but weakens the negative effect of performance pressure on cross-international regional growth. State ownership enhances the positive effect of performance pressure on cross-domestic regional growth but decreases the negative effect of performance pressure on cross-international regional growth. CEO duality increases the negative impact of performance pressure on cross-international regional growth. Practical implications: This study provides several implications for top executives, including how to dialectically consider the double-edged effect of performance pressure on cross-boundary growth of firms, create an appropriate environments of managerial discretion and design the types of cross-boundary growth strategies that top executives can follow in the volatility, uncertainty, complexity and ambiguity era. Originality/value: Although the relevant literature highlights the importance of performance pressure, it has not been related to the cross-boundary growth of firms. This paper makes an incremental contribution to the literature on the forming mechanisms of firm's cross-boundary growth by providing an important perspective of performance pressure to firm growth determinants and taking into account the moderating role of managerial discretion. [ABSTRACT FROM AUTHOR]

Background: Glioblastoma multiforme (GBM) is the most common primary CNS tumor, characterized by high mortality and heterogeneity. However, the related lncRNA signatures and their target microRNA (miRNA) for GBM are still mostly unknown. Therefore, it is critical that we discover lncRNA markers in GBM and their biological activities. Materials and methods: GBM-related RNA-seq data were obtained from the Cancer Genome Atlas (TCGA) database. The "edger" R package was used for differently expressed lncRNAs (DELs) identification. Then, we forecasted prospective miRNAs that might bind to lncRNAs by Cytoscape software. Survival analysis of those miRNAs was examined by the starBase database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the miRNAs' target genes was conducted by the Gene Set Enrichment Analysis (GSEA) database and R software. Moreover, the proliferative ability of unc-5 netrin receptor B antisense RNA 1 (UNC5B-AS1) cells was evaluated by Cell Counting Kit-8 (CCK-8) analysis. Mechanistically, the regulatory interaction between UNC5B-AS1 and miRNA in GBM biological processes was studied using CCK-8 analysis. Results: Our results indicated that overexpression of UNC5B-AS1 has been shown to suppress GBM cell growth. Mechanistically, miR-24-3p in GBM was able to alleviate the anti-oncogenic effects of UNC5B-AS1 on cell proliferation. Conclusion: The discovery of the novel UNC5B-AS1-miR-24-3p network suggests possible lncRNA and miRNA roles in the development of GBM, which may have significant ramifications for the analysis of clinical prognosis and the development of GBM medications. [ABSTRACT FROM AUTHOR]

In this study, we analyzed the potential of viral infections in the species Homo sapiens as environmental causes of orofacial clefts (OFCs). A scoring system was adapted for qualitatively assessing the potential of viruses to cause cleft lip and/or palate (CL/P). This assessment considered factors such as information from the literature, nucleotide and amino acid similarities, and the presence of Endogenous Viral Elements (EVEs). The analysis involved various algorithm packages within Basic Local Alignment Search Tool 2.13.0 software and databases from the National Center for Biotechnology Information and the International Committee on Taxonomy of Viruses. Twenty significant viral species using different biosynthesis strategies were identified: Human coronavirus NL63, Rio Negro virus, Alphatorquevirus homin9, Brisavirus, Cosavirus B, Torque teno mini virus 4, Bocaparvovirus primate2, Human coronavirus HKU1, Monkeypox virus, Mammarenavirus machupoense, Volepox virus, Souris mammarenavirus, Gammapapillomavirus 7, Betainfluenzavirus influenzae, Lymphocytic choriomeningitis mammarenavirus, Ledantevirus kern, Gammainfluenzavirus influenzae, Betapolyomavirus hominis, Vesiculovirus perinet, and Cytomegalovirus humanbeta5. The evident viral etiological potential in relation to CL/P varies depending on the Baltimore class to which the viral species belongs. Given the multifactorial nature of CL/P, this relationship appears to be dynamic. [ABSTRACT FROM AUTHOR]

Legal requirements, certification specifications, as well as the demand for real world data on cancer research and treatment led to the decision to establish the University Clinical Cancer Registry Regensburg. The first organizational step in the implementation process of this oncological data registry was the evaluation and acquisition of suitable tumor documentation and database software. For this purpose, an evaluation matrix comprising required database software criteria was designed and consented by a multidisciplinary group of experts. Next, a yearly report of the Institute for Cancer Center Certification (OnkoZert 2019) was considered to identify database software already in use. The identified systems were rated according to the established criteria matrix and other relevant aspects. Onkostar was the system considered most suited for building up an oncological data repository. In the second step, the central IT department implemented Onkostar on-premise and migrated digitally available data after an adaptation and verification process. In parallel, a uniformed process for handling emerging oncological research questions was established. For research requirements, a data analysis concept was established comprising a proposal for data extraction, procedural instructions, and statistical training materials. In the final step, the implemented software and the process for handling research requirements in practice were evaluated by using two exemplary use cases with the focus on clinic-wide analyses and currently relevant scientific topics. A 2-month test phase conducted by various user groups showed a preference for Onkostar tumor documentation software from IT-Choice, mainly because of its adjustability to support research and treatment. Newly added and migrated data can be used for certification and research purposes. This software also provides support in current tumor documentation by displaying the course of cancer disease for individual patients over time. Such oncological data registries can be a powerful tool for legally required cancer registration, the certification of medical centers, as well as for additional oncological research. Tumor databases can be helpful in projects on cancer treatment and scientific aims. The experiences made at the University Hospital Regensburg may be used as a guidance for implementing clinical databases in similar settings with interdisciplinary responsibilities. [ABSTRACT FROM AUTHOR]

Contemporary Taphonomy aims not only to study the analysis of the degradation of biological remains and their transformation into deposits from the past (Palaeontology and Archaeology) but also, together with other disciplines, such as Forensic sciences and Ecology, the study of depositional and postdepositional events concerning the degradation of biological remains in the present. Due to these interactions, Taphonomy has reached a new status as a transdisciplinary area that supports the interpretation of degradation processes in a broad sense, which would be applicable in the immediate future to other areas such as Material sciences or Medicine. However, such a wide and complex research panorama requires an agreement on common terminology. This is crucial in relation with the use of the concepts preservation and conservation, which are widely used in many scientific areas and represent nowadays a dilemma incorporated into Taphonomy. Using the Scopus database and network software analysis tools, we have explored the relationships between concepts and disciplines implicated in the taphonomic analysis. Our results show that both terms have acquired different nuances over time in each scientific discipline implicated in the study of degradation and, depending on the circumstances and language, are sometimes used as synonymous or even misused. [ABSTRACT FROM AUTHOR]

A keloid is a type of benign fibrotic disease with similar features to malignancies, including anti-apoptosis, over-proliferation, and invasion. Epithelial-mesenchymal transition (EMT) is a crucial mechanism that regulates the metastatic behavior of tumors. Thus, identifying EMT biomarkers is paramount in comprehensively understanding keloid pathogenesis. To identify the differentially expressed genes (DEGs) GSE92566 dataset, with 3 normal skin and 4 keloid tissues, was downloaded from GEO databases to identify the differentially expressed genes (DEGs). Further, EMT-related genes were downloaded from dbEMT 2.0 databases and intersected with GSE92566 DEGs to identify EMT-related-DEGs (ERDEGs). Subsequently, the ERDEGs were used for GO, KEGG, gene set enrichment analysis (GSEA), protein-protein interaction (PPI), and miRNAs-mRNAs network analysis. To predict small molecules for EMT inhibition, the ERDEGs were imported to cMAP databases, whereas hub genes were imported to DGidb databases. Finally, we carried out qRT-PCR and in vitro experiments to validate our findings. A total of 122 ERDEGs were identified, including 59 upregulated and 63 down-regulated genes. Moreover, enrichment analysis revealed that focal adhesion, AMPK signal pathway, Wnt signal pathway, and EMT biological process were significantly enriched. STRING databases and Cytoscape software were used to construct the PPI network and EMT-related hub genes. Further, 3 modules were explored from the PPI network using the Molecular Complex Detection (MCODE) plugin. In the Cytohubba plugin, 10 hub genes were explored, including FN1 , EGF , SOX9 , CDH2 , PROM1 , EPCAM , KRT19 , ITGB1 , CD24, and KRT18. These genes were then enriched for the focal adhesion pathway. We constructed a microRNA (miRNA)-mRNA network, which predicted hsa-miR-155–5p (8 edges), hsa-miR-124–3p (7 edges), hsa-miR-145–5p (5 edges), hsa-miR-20a-5p (5 edges) and hsa-let-7b-5p (4 edges) as the most connected miRNAs regulating EMT. Based on the ERDEGs and 10 hub genes mentioned above, ribavirin demonstrated high drug-targeting relevance. Subsequently, qRT-PCR confirmed that the expression of FN1 , ITGB1 , CDH2, and EPCAM corroborated with previous findings. qRT-PCR also showed that the expression levels of hsa-miR-124–3p and hsa-miR-145–5p were significantly lower in keloids and hsa-miR-155–5p was upregulated in keloids. Finally, by treating human keloid fibroblasts (HKFs) with ribavirin in vitro, we confirmed that ribavirin could inhibit HKFs proliferation and EMT. In summary, this work provides novel EMT biomarkers in keloids and predicts new small target molecules for keloid therapy. Our findings improve the understanding of keloid pathogenesis, providing new treatment options. • 10 hub genes were revealed that regulates keloids EMT. • MicroRNA-mRNA network was constructed that might regulate EMT in keloids. • Based on cMAP, DGidb databases and in vitro experiments, ribavirin was predicted to inhibit EMT in keloids. [ABSTRACT FROM AUTHOR]

Currently, the detection of malware to prevent cybersecurity breaches is a raising a concern for millions of people around the globe. Even with the most recent updates, antivirus software can leave computer users vulnerable to malware threats and attacks due to the rapid release of new malware. As a result, conventional antivirus software is frequently incapable of identifying novel forms of malware until their unique signatures have been added to the software's database. To protect systems, there is necessity in the current technology field to develop innovative techniques for detecting unidentified malware, particularly during the initial phases of malware deployment. The objective is to address the issue of imbalanced and inadequate malware dataset through the utilization of the fast and adaptive bidirectional empirical mode decomposition (FABEMD) technique. While exploring the Malimg and MaleVis datasets, promising results were reached in reference to accuracy, precision, recall, and F1-score. The experiment demonstrated the accuracy of two distinct 3D architectures, namely 3D VGG-16 and 3D Resnet-18, on two separate datasets: Malimg dataset and MaleVis dataset. The accuracy achieved for VGG-16 was 96.14% and 98.60% for the Malimg and the MaleVis dataset, respectively. In regards to the Resnet-18 architecture, it demonstrated high accuracy rates of 99.64% and 99.46% for the Malimg and MaleVis datasets, respectively. [ABSTRACT FROM AUTHOR]

Macrostrat is a platform for deep‐time geoscientific research that integrates stratigraphic columns and geologic maps into a digital description of the crust. The database and supporting software track crustal evolution and provide location‐based geological information to geoscience end users. Macrostrat houses multiple scales of mapping and stratigraphic data, from continent‐ and basin level summaries to single quadrangles and measured sections. Currently, Macrostrat's primary data holdings consist of regional stratigraphic columns with a spatial footprint weighted heavily to North America. While the data are of sufficient scale and resolution to generate insights about Earth evolution, increasing resolution and expanding spatial coverage will allow a new generation of scientific and interpretive uses. The next phase of Macrostrat's development will increase the detail and complexity of Macrostrat's multiscale data holdings, largely by engaging a wider range of geoscientists in entering stratigraphic data. To support broad collaboration, we are building new web‐based software to assemble and visualize regional stratigraphic sequences, refine multiple working age models, and compose regional records from measured stratigraphic sections. These tools will allow Macrostrat to draw on the expertise of a wide range of geoscience workers and grow a dataset with global relevance and a variety of end uses. New capabilities will pave the way to processes for submission, review, coordination, and assimilation of community‐contributed stratigraphic datasets. Digital compilation of geological maps and columns requires substantial effort, and well‐designed systems for distributing this work in the geoscience community will allow Macrostrat to build more adaptable and scientifically relevant products. [ABSTRACT FROM AUTHOR]

This paper presents the database and the open access georeferenced online map of the CAMIS project of the University of Padua, which aims to catalogue and analyse late antique and medieval funerary contexts as a response to the scattered documentation and partial publications on this subject. After describing the structure and software used for the database and the online map, some numbers are presented relating to the more than thousand sites already entered in the system and the kind of results that can be advanced, underlining some of the problems encountered. The paper calls for the optimization of data management to foster open archaeological research, highlighting the need for a unified approach to study complex historical phenomena. The CAMIS database, incorporating standardized vocabularies for systematic and statistical analysis, is vital for unlocking new research avenues and addressing gaps in current knowledge. The project exemplifies the power of open science, promoting collaboration and enriching archaeological research with a rapidly growing, vast dataset. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to investigate the law and logic mechanism of management control matching pattern and company strategy aggressiveness under different strategies by textual analysis, based on the empirical data of Chinese A-share listed companies during the period from 2010 to 2018. Additional analyses further investigate the moderating effect of environmental uncertainty and R&D intensity on the relationship between management control matching type and strategy aggressiveness. The conclusion can help relevant departments to develop management control theory and method system with Chinese characteristics and provide theoretical reference for the matching mode of dual control. Design/methodology/approach: This paper uses the text analysis method. The main explanatory variables are analyzed using the computer SQL Server database software through the relevant text of the board of directors report in the company annual report. Other financial data came from the CSMAR database, excluding ST and PT and companies with missing data, and 16,902 samples were finally obtained. This paper conducted statistical analysis through Stata12. Findings: This paper shows that the matching pattern between formal and informal control is divided into three types. They have different impacts on strategy aggressiveness. Specifically, consistent matching type II significantly positively influences the aggressiveness of offensive strategy. Consistent matching type I significantly positively influences the aggressiveness of defensive strategy. Complementary matching type I significantly positively influences the aggressiveness of analytical strategy. Additional analyses find that compared with non-high-tech companies, high-tech companies have more significant influence on the relationship between management control matching pattern and company strategic aggressiveness. And compared with other two "strategy-control" matching patterns, both environmental uncertainty and product innovation have more significant influence on the relationship between consistent matching II and offensive strategy aggressiveness. Originality/value: To the best of the authors' knowledge, this paper divides the formal and informal control matching patterns of management control into three categories for the first time. It examines the relationship between the formal and informal control matching of management accounting and the degree of strategy aggressiveness. The conclusion provides new empirical evidence to promote the effective implementation of development strategies for companies. It can help relevant departments to develop management control theory and method systems with Chinese characteristics and provide theoretical references for the matching mode of dual control. [ABSTRACT FROM AUTHOR]

Objective: To investigate the pathogenesis of IBS-D by bioinformatics analysis of the differential microRNAs in rat colon tissue and to analyze and predict the function of their target genes. Methods: Twenty male Wistar rats of SPF class were randomly divided into two groups, the model group was manipulated using the colorectal dilatation method + chronic restraint stress method to establish the IBS-D model; while the blank group stroked the perineum at the same frequency. Screening of differential miRNAs after High-throughput sequencing of rat colon tissue. GO and KEGG analysis of target genes using the DAVID website, further mapping using RStudio software; the STRING database and the Cytoscape software were used to obtain the protein interaction network (PPI) of the target genes as well as the core genes. Finally, qPCR was used to detect the expression of target genes in the colon tissue of two groups of rats. Results: After the screening, miR-6324 was obtained as the key of this study. The GO analysis of target genes of miR-6324 is mainly involved in protein phosphorylation, positive regulation of cell proliferation, and intracellular signal transduction; it affects a variety of cellular components such as cytoplasm, nucleus, and organelles on the intracellular surface; it is also involved in molecular functions such as protein binding, ATP binding, and DNA binding. KEGG analysis showed that the intersecting target genes were mainly enriched in cancer pathways, proteoglycans in cancer, neurotrophic signaling pathway, etc. The protein-protein interaction network screened out the core genes mainly Ube2k, Rnf41, Cblb, Nek2, Nde1, Cep131, Tgfb2, Qsox1, and Tmsb4x. The qPCR results showed that the expression of miR-6324 decreased in the model group, but the decrease was not significant. Conclusion: miR-6324 may be involved in the pathogenesis of IBS-D as a potential biological target and provide further ideas for research on the pathogenesis of the disease or treatment options. [ABSTRACT FROM AUTHOR]

Background. Coronavirus disease (COVID-19) is an infectious illness that spreads widely over a short period of time and finally causes a pandemic. Unfortunately, the lack of radiologists, improper COVID-19 diagnosing procedures, and insufficient medical supplies have all played roles in these devastating losses of life. Deep learning (DL) could be used to detect and classify COVID-19 for potential image-based diagnosis. Materials and Methods. This paper proposes an improved deep convolutional neural network (IDConv-Net) to detect and classify COVID-19 using X-ray and computed tomography (CT) images. Before the training phase, preprocessing methods such as filtering, data normalization, classification variable encoding, and data augmentation were used in conjunction with the proposed IDConv-Net to increase the effectiveness of the detection and classification processes. To extract essential features, deep CNN is then employed. As a result, the suggested model can identify patterns and relationships crucial to the image classification task, resulting in more precise and useful diagnoses. Python and Keras (with TensorFlow as a backend) were used to carry out the experiment. Results. The proposed IDConv-Net was tested using chest X-rays and CT images collected from hospitals in Sao Paulo, Brazil, and online databases. After evaluating the model, the proposed IDConv-Net achieved an accuracy of 99.53% and 98.41% in training and testing for CT images and 97.49% and 96.99% in training and testing for X-ray images, respectively. Further, the area under the curve (AUC) value is 0.954 and 0.996 for X-ray and CT images, respectively, indicating the excellent performance of the proposed model. Conclusion. The findings of our proposed IDConv-Net model confirm that the model outperformed compared to existing COVID-19 detection and classification models. The IDConv-Net outperforms current state-of-the-art models by 2.25% for X-rays and 2.81% for CT images. Additionally, the IDConv-Net training approach is significantly quicker than the current transfer learning models. [ABSTRACT FROM AUTHOR]

The scientific community has been developing and refining digital data standards to ensure that biodiversity data can be easily exchanged between different databases, systems and institutions. However, scientists still face the challenge of effectively analysing this vast amount of data. Variations in the quality, documentation and availability of metadata often make it difficult for scientists to compile appropriate datasets for their research. One contribution towards this task is the research data repository ARAMOB of the Arachnologische Gesellschaft (AraGes), which focuses on systematically collected data on spider assemblages. Mandatory requirements have been developed to ensure the quality and utility of the data for ecological research during a given project. A next step towards enhancing the data basis for convincing analyses of spider assemblages in Central Europe is the offer to now publish data in the society's open access journal Arachnologische Mitteilungen/Arachnology Letters, which are integrated into the data repository and thus made effectively accessible and usable. These data papers will be presented as one printed page in the journal, accessible on the website of the AraGes and from the BioOne Digital Library, accompanied by a PDF-document containing metadata to effectively use the published data. The original dataset is published as spreadsheet tables, but also deposited in the ARAMOB data repository, which is managed with the modularized database software and virtual research environment Diversity Workbench. By this means, the published data packages are also accessible and analysable within a wider context through the ARAMOB web portal. On request, scientists can also exploit data with the free and well-documented Diversity Workbench software tools. The data pipelines involved are defined in the context of the National Research Data Infrastructure (NFDI). [ABSTRACT FROM AUTHOR]

Background: Since lung tumors are in dynamic conditions, the study of tumor growth and its changes is of great importance in primary diagnosis. Methods: Enhanced area growth (EAG) algorithm is introduced to segment the lung tumor in 2D and 3D modes on 60 patients CT images from four different databases by MATLAB software. The contrast augmentation, color intensity and maximum primary tumor radius determination, thresholding, start and neighbor points' designation in an array, and then modifying the points in the braid on average are the early steps of the proposed algorithm. To determine the new tumor boundaries, the maximum distance from the color-intensity center point of the primary tumor to the modified points is appointed via considering a larger target region and new threshold. The tumor center is divided into different subsections and then all previous stages are repeated from new designated points to define diverse boundaries for the tumor. An interpolation between these boundaries creates a new tumor boundary. The intersections with the tumor boundaries are firmed for edge correction phase, after drawing diverse lines from the tumor center at relevant angles. Each of the new regions is annexed to the core region to achieve a segmented tumor surface by meeting certain conditions. Results: The multipoint-growth-starting-point grouping fashioned a desired consequence in the precise delineation of the tumor. The proposed algorithm enhanced tumor identification by more than 16% with a reasonable accuracy acceptance rate. At the same time, it largely assurances the independence of the last outcome from the starting point. By significance difference of p < 0.05, the dice coefficients were 0.80 ± 0.02 and 0.92 ± 0.03, respectively, for primary and enhanced algorithms. Lung area determination alongside automatic thresholding and also starting from several points along with edge improvement may reduce human errors in radiologists' interpretation of tumor areas and selection of the algorithm's starting point. Conclusions: The proposed algorithm enhanced tumor detection by more than 18% with a sufficient acceptance ratio of accuracy. Since the enhanced algorithm is independent of matrix size and image thickness, it is very likely that it can be easily applied to other contiguous tumor images. Trial registration: PAZHOUHAN, PAZHOUHAN98000032. Registered 4 January 2021, http://pazhouhan.gerums.ac.ir/webreclist/view.action?webreclist_code=19300 [ABSTRACT FROM AUTHOR]

The large-scale detection of putative intrinsic transcription terminators is limited to only a few bacteria currently. We discovered a group of hairpins, called cluster hairpins, present within 15 nucleotides from each other. These are expected to work in tandem to cause intrinsic transcription termination (ITT), while the single hairpin can do the same alone. Therefore, exploring these ITT sites and the hairpins across bacterial genomes becomes highly desirable. INTERPIN is the largest archived collection of in silico inferred ITT hairpins in bacteria, covering 12745 bacterial genomes and encompassing ten bacterial phyla for ∼25 million hairpins. Users can obtain details on operons, individual cluster, and single ITT hairpins that were screened therein. Integrated Genome Viewer (IGV) software interactively visualizes hairpin secondary and tertiary structures in the genomic context. We also discuss statistics for the occurrence of cluster or single hairpins and other termination alternatives while showing the validation of predicted hairpins against in vivo detected hairpins. The database is freely available at http://pallab.cds.iisc.ac.in/INTERPIN/. INTERPIN (database and software) can make predictions for both AT and GC-rich genomes, which has not been achieved by any other program so far. It can also be used to improve genome annotation as well as to get predictions to improve the understanding of the ITT pathway by further analysis. [Display omitted] • Database archiving predicted Intrinsic Transcription Termination sites in bacteria. • Global view of terminating hairpin location and their 2D/3D structure illustrated. • A new group of intrinsic transcription terminators called cluster hairpins unveiled. • Termination sites predictions validated against experimental data (RNA-seq). • Alternate sites for intrinsic transcription termination found in bacteria. [ABSTRACT FROM AUTHOR]

The Geographic Information System (GIS) is one of the modern database software which is used to collect, analyze, display, processing and produce geographic information maps for a specific objective. In addition, a statistical analysis can be generated within GIS on specific data to produce quantitative results. In this study, the GIS utilized to produce thematic maps showing the variation of bearing capacity of shallow foundation in Al-Basrah province soil. All the features mentioned above illustrate the importance of GIS exploring more valuable results such as the bearing capacity of shallow foundation from the results of standard penetration tests (SPT) conducted in Al-Basrah province soil. The total number of boreholes drilled was 135 distributed irregularly in the study area. In each borehole, three SPTs were performed at depths of 1.5, 6, and 9.5 m measured from the existing ground level (EGL). The results of the study can be summarized by the production of thematic maps showing the variation of the bearing capacity of the soil over the whole area of Al-Basrah city correlated with several depths. These maps can be used by different local authorities to predict soil bearing capacity and choose a suitable type of foundation. In addition, it can be utilized to assess the foundations of existing and irregularly constructed buildings and to assess the extent of the risks of failure and collapse. [ABSTRACT FROM AUTHOR]

A large number of studies indicate that Potassium Voltage-Gated Channel Q4 (KCNQ4) gene is the cause of non-syndromic hearing loss, but there are few studies investigating the role of KCNQ4 in cancers and scarcity of comprehensive analysis of its involvement in the diagnosis, methylation, mutation, prognosis of various cancer types. Therefore, the aim of this study is to examine the anticancerous and immune effects of KCNQ4 in various cancers and its potential value in breast cancer. In this study, we explored the potential role of KCNQ4 in cancers using public databases and the R software for bioinformatics analysis. The results showed that the low expression of KCNQ4 across specific cancer types was positively associated with low mutation frequency and methylation, and the improved survival. Eight small molecule compounds were identified that could potentially target KCNQ4. In addition, immunohistochemistry confirmed that the KCNQ4 expression was low in breast cancer. In vitro experiments confirmed that overexpression of KCNQ4 inhibited cell migration and invasion and promoted apoptosis. In summary, our comprehensive pan-cancer analysis highlights the potential of KCNQ4 as a cancer marker, and can be used as an auxiliary prognostic indicator and an indicator for immunotherapy in certain tumor types. [ABSTRACT FROM AUTHOR]

Life cycle assessment (LCA) databases and software evolve. We analyzed to which extent software and evolving life cycle inventory databases affect the comparison of technology alternatives, using a comparative LCA on permanent magnets as a case study, with two selected software tools: CMLCA and Brightway LCA. We migrated the system models from the CMLCA to Brightway LCA software and alternated between the ecoinvent database versions 2.2 and 3.1 to 3.6 in the system background. When using ecoinvent v3.6 instead of v2.2, the change of the indicator results ranged from −34%$ - 34{\rm{\% }}$ to 283%. The evolution of the ecoinvent database impacted the absolute amounts of the characterized results and the relative performance between alternatives. The impact category with the highest variability was ionizing radiation, which even showed a ranking inversion with ecoinvent v3.4. In contrast, the impact of using CMLCA or Brightway was negligible because the same data and modeling assumptions caused percentage differences below 0.4%. During the semi‐automated data migration to Brightway, we identified 23 environmental flows in the CMLCA model that were not paired with their corresponding characterization factors in the published study of reference. This error had led to an underestimation of 63% in the photochemical oxidation indicator of one of the alternatives. This underestimation relates to an interoperability issue regarding the nomenclature of environmental flows in software alternatives and is a matter of data implementation rather than an issue intrinsic to the selected software. Finally, we identified improvement opportunities for the transparency and reusability of LCA models. This article met the requirements for a Gold‐Gold JIE data openness badge described at http://jie.click/badges. [ABSTRACT FROM AUTHOR]

Incidental findings are the radiographic findings detected in an asymptomatic or a symptomatic patient, these findings, however, are not correlated to the patient's clinical symptoms. Our objective was to report the prevalence of incidental findings, detected in digital panoramic radiographs, yet were not noted within the initial clinical examination of the patient attending the dental clinics at "Princess Nourah bint Adulrahman University (PNU)". All panoramic radiographs performed from April 2018 till March 2021 retrieved from the archives of the Axium Clinical and Practice Management Software database of the dental clinics at (PNU). A representative random sample of 400 out of 4010 panoramas were examined. All incidental radiographic findings were recorded and were categorized into five groups. About half of all examined panoramas had at least one incidental finding (46.8%). The most common incidental findings were idiopathic osteosclerosis (7.5%). Age of the patients was found to be significantly associated with the presence of at least one incidental finding. Incidental findings are common among patients in Saudi Arabia. This underscores the need for dental practitioners to examine the panoramic radiographs systematically and comprehensively for all patients, to make note of, record and properly manage these findings. [ABSTRACT FROM AUTHOR]

In the many months following the Coronavirus flare-up, a large number of Biotechnology Engineering students throughout the world are compelled to switch over from conventional lab based learning to computational technology based learning. This uncommon interchange enormously affected the method of learning project courses. Specifically, biological science projects which require the students and staff to work in the actual lab was affected. B. Tech. Biotechnology students and a staff from our institution utilized present day computational bioinformatics tool, data sets and programming to study an issue identified as beta-lactam resistance in a bacterium. The students utilized accessible present day computational tool, data sets and virtual products to complete the project work. This technique for doing the final year B. Tech. project has brought about the consummation of the course effectively. This procedure of utilization of freely available computational tool, information databases and programming software will benefit the students worldwide to complete project based engineering courses effectively. [ABSTRACT FROM AUTHOR]

Object: There ismounting clinical evidence that an increase in obesity is linked to an increase in cancer incidence and mortality. Although studies have shown a link between obesity and colon cancer, the particular mechanism of the interaction between obesity and colon cancer in females remains unknown. The goal of this work is to use bioinformatics to elucidate the genetic link between obesity and colon cancer in females and to investigate probable molecular mechanisms. Methods: GSE44076 and GSE199063microarray datasets were obtained fromthe Gene Expression Omnibus (GEO) database. In the two microarray datasets and healthy controls, the online tool GEO2R was utilized to investigate the differential genes between obesity and colon cancer. The differential genes (DEGs) identified in the two investigations were combined. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment studies were performed on the DEGs. The STRING database and Cytoscape software were then used to build protein-protein interaction (PPI) networks to discover hub genes. NetworkAnalyst was also used to build networks of target microRNAs (miRNAs) and hub genes, as well as networks of transcriptions. Results: Between the two datasets, 146 DEGs were shared. The DEGs are primarily enriched in inflammatory and immune-related pathways, according to GO analysis and KEGG. 14 hub genes were identified via PPI building using the Cytoscape software's MCODE and CytoNCA plug-ins: TYROBP, CD44, BGN, FCGR3A, CD53, CXCR4, FN1, SPP1, IGF1, CCND1, MMP9, IL2RG, IL6 and CTGF. Key transcription factors for these hub genes include WRNIP1, ATF1, CBFB, and NR2F6. Key miRNAs for these hub genes include hsa-mir-1-3p, hsa-mir-26b-5p, hsa-mir-164a-5p and hsa-mir-9-5p. Conclusion: Our research provides evidence that changed genes are shared by female patients with colon cancer and obesity. Through pathways connected to inflammation and the immune system, these genes play significant roles in the emergence of both diseases. We created a network between hub genes and miRNAs that target transcription factors, which may offer suggestions for future research in this area. [ABSTRACT FROM AUTHOR]

Since the new era, overseas research on the CPC has continued to heat up. This paper analyzed overseas research on the CPC based on the literature with the theme of "The Communist Party of China" between 2013 and 2022 in the core collection of Web of Science databases with CiteSpace software. The study found that the overseas research on the CPC mainly focused on three aspects: governance of China, promotion of officials, and primary-level governance in the regime; it showed the characteristics of a continuous expansion of the research team, clear problem awareness, diversification of research theories and methods, and a gradual shift from macro research to mesoscopic and microscopic research. However, there are also deficiencies, such as exaggeration and a lack of understanding of China's history and culture, etc. Therefore, making a holistic and comprehensive understanding and grasp of the study of the CPC overseas, telling the Chinese story and transmitting Chinese voice can better cultivate new opportunities in the crisis and open a new situation in the changing situation. This study can provide useful references for the theoretical research of the 20th National Congress and overseas propaganda work. [ABSTRACT FROM AUTHOR]

In solving technological problems related to sheet metal deep drawing with the use of computer tools, the key issue is still the correct determination and entering of boundary conditions to FEM-based software. The procedure for preparing input data for modelling such processes includes geometric data (drawing of tools and material), technological parameters along with the contact conditions between the workpiece and the tools (friction model and type of lubricant) and material properties, in which work-hardening curves are of particular importance. In typical material databases of FEM-based software and designed for computer modelling of deep drawing processes, the properties of only a small number of material grades are available, and commercial software producers charge additional fees for each additional quantity. Those properties that are already in the database are usually devoid of basic information, e.g. related to the state of the material (material after recrystallization, annealing, cold working has different properties). In paper, experimental tests were carried out to determine flow curves based on cold tensile curves for flat samples made of EN-AW 1050A aluminium, Cu-ETP copper, CuZn37 brass and S235JRG2 steel. The investigation used a universal testing machine with a 20 kN pressing force, equipped with specialized Test&Motion software for measuring forces and displacements. It was calibrated and satisfies the metrological requirements for class 0.5. A comparative analysis of the curves determined by the analytical method was carried out. The material models obtained in the experimental tests were used in the computer simulation of the deep drawing processes of cylindrical drawpieces in the ABAQUS software. The results were experimentally verified in terms of comparing the changes in the pressing forces as a function of the displacement of the punch. The results obtained in the research can be used in industrial practice for computer-aided design of cold-deep drawing processes for drawpieces of various shapes from the discussed materials. [ABSTRACT FROM AUTHOR]

This paper aims to present a new software platform developed for process monitoring and diagnosis of a domestic wastewater treatment plant. The software platform is a Firebird server installed on a corporate intranet with multi-users having different access rights. The objectives of the development of this platform are to control emissions and protect the environment, as well as to economically manage and optimally operate wastewater treatment plants in a sustainable way by reducing the operating cost and optimizing the operation of treatment plants and pumping stations. The wastewater treatment plant of Chlef was chosen to illustrate the results. [ABSTRACT FROM AUTHOR]