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The enclosed space environment demands sustainable environmental control systems. Space stations and interstellar missions, both need reliable environmental control and life support systems for crewed flights and long-term habitation. These long-duration space missions require monitoring for potential pathogens and microbial contamination, which is crucial for astronaut health and the reliable operation of space equipment. To meet this critical need, the China Space Station (CSS) is equipped with the Microbial Online Monitoring Module (MOMM), which integrates two methods for microbial detection, the first method involves cultivating microorganisms in culture dishes for observation, while the second method uses isothermal nucleic acid amplification and detection technology based on Loop-mediated Isothermal Amplification(LAMP). This equipment is applied in the microgravity environment of the space station to achieve rapid detection of microbial species and abundance in orbit. Hardware function validation tests and validation experiments of the sensitivity and shelf life of the reagents were conducted on the ground, and several full-process microbial detection experiments were carried out to ensure the function and feasibility of the MOMM. Subsequently, an experimental process of microbial cultivation and observation was successfully carried out on the CSS using air samples from the space station. The MOMM allows for early detection of microbes in orbit, contributing to implementing targeted biosecurity and maintenance measures. [ABSTRACT FROM AUTHOR]

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In modern agriculture, the threat of fire poses significant economic and environmental risks. Additionally, traditional fire detection methods are inadequate and poorly integrated with advanced technologies. It is crucial to develop a more efficient and reliable fire detection system. Also, the lack of real-time and accurate monitoring in current systems compromises the resilience and sustainability of farming operations. This article details developing and implementing a real-time fire detection system tailored for smart agriculture. It integrates cutting-edge technologies, including the Internet of Things (IoT), embedded systems, and a Flask-based web application, fortified by cybersecurity measures such as login authentication and secure HTTP protocols. The system's primary aim is to monitor environmental conditions continuously in agricultural fields to detect signs of smoke or flame swiftly, facilitating preventive actions to safeguard crops and infrastructure. The architecture employs sensors distributed across fields to monitor conditions, a Raspberry Pi 3 B+ as the central processing unit for data acquisition and transmission, and a web interface developed using Flask, HTML, and CSS for secure and real-time visualization of detection data. Critical components like the MCP3208 analog-to-digital converter ensure the system's reliability and accuracy. Experimental results confirm the system's efficacy in early fire detection and real-time data visualization via the web browser. Enhanced security features, such as login authentication, protect sensitive information, while regular updates maintain data relevance. This study advances fire prevention and farm preservation efforts, offering a high-performance technological solution for proactive monitoring and quick response to fire risks, thereby supporting food security and sustainable agricultural practices.

Abstract Objective Mucinous breast cancer (MBC) is a kind of breast cancer (BC), which is rare in clinic, mainly for women, because of the low incidence rate, so there is no unified standard treatment protocol. Elderly patients have a poor prognosis due to their combined comorbidities. This study aims to investigate the effect of surgery and chemoradiotherapy on the prognosis of elderly female MBC patients and construct nomograms for predicting the OS and CSS in elderly female MBC patients. Methods Data for female MBC patients over 65 years are obtained from the Surveillance, Epidemiology and End Results (SEER) database, patients were divided into two groups: the training set and the validation set. External validation data of the prediction model were provided by Kunming Hospital of Traditional Chinese Medicine. We used Cox regression modeling, which was used to identify independent risk factors affecting patient prognosis. After avoiding confounding bias according to the multifactorial Cox regression model, we used these screened statistically significant results to construct column‐line plots. The performance of the model was tested using the consistency index (c‐index), the calibration curve, and the area under the operating characteristic curve of the receiver (AUC). Subsequently, we used decision curve analysis (DCA) to examine the potential clinical value of our nomograms. Results A total of 8103 elderly MBC female patients were extracted from the database SEER and were assigned to the training and validation set, randomly. A total of 83 patients from Kunming Hospital of Traditional Chinese Medicine were used in the external verification set. After multifactorial Cox regression analysis, we found that age, race, T‐stage, M‐stage, surgical approach, radiotherapy, and tumor size were independent risk factors for OS in elderly MBC patients. Similarly, independent risk factors of CSS included age, marital status, N stage, M stage, surgical approach, chemotherapy, and tumor size. The C‐index for the OS training, validation, and external verification set were 0.731 (95%CI 0.715–0.747), 0.738 (95%CI 0.724–0.752), and 0.809 (95%CI 0.731–0.8874). The C‐index of the training set, the validation set, and external verification set for CSS were 0.786 (95%CI 0.747–0.825), 0.776 (95%CI 0.737–0.815), and 0.84 (95%CI0.754–0.926), respectively. The AUC, calibration curves and DCA also showed good accuracy. Conclusions In this study, we construct a new nomogram to predict the prognosis of elderly patients with MBC. The nomograms have undergone internal and external validation and have been confirmed to have good clinical applicability. At the same time, we found that for elderly female MBC patients, surgery and radiotherapy significantly benefit their survival, but chemotherapy is not conducive to patient survival.

Abstract Objective Prostate cancer (PC) is a significant disease affecting men’s health worldwide. More than 60% of patients over 65 years old and more than 80% are diagnosed with localized PC. The current choice of treatment modalities for localized PC and whether overtreatment is controversial. Therefore, we wanted to construct a nomogram to predict the risk factors associated with cancer-specific survival (CSS) and overall survival (OS) in elderly patients with localized PC while assessing the survival differences in surgery and radiotherapy for elderly patients with localized PC. Methods Data of patients with localized PC over 65 years were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression models were used to determine independent risk factors for CSS and OS. Nomograms predicting CSS and OS were built using multivariate Cox regression models. The consistency index (C-index), the area under the subject operating characteristic curve (AUC), and the calibration curve were used to test the accuracy and discrimination of the prediction model. Decision curve analysis (DCA) was used to test the potential clinical value of this model. Results A total of 90,434 patients over 65 years and diagnosed with localized PC from 2010 to 2018 were included in the study. All patients were randomly assigned to the training set (n = 63,328) and the validation set (n = 27,106). Univariate and multivariate Cox regression model analysis showed that age, race, marriage, T stage, surgical, radiotherapy, prostate-specific antigen (PSA), and Gleason score (GS) were independent risk factors for predicting CSS in elderly patients with localized PC. Age, race, marriage, surgery, radiotherapy, PSA, and GS were independent risk factors for predicting OS in elderly patients with localized PC. The c-index of the training and validation sets for the predicted CSS is 0.802(95%CI:0.788–0.816) and 0.798(95%CI:0.776–0.820, respectively). The c-index of the training and validation sets for predicting OS is 0.712(95%:0.704–0.720) and 0.724(95%:0.714–0.734). It shows that the nomograms have excellent discriminatory ability. The AUC and the calibration curves also show good accuracy and discriminability. Conclusion We have developed new nomograms to predict CSS and OS in elderly patients with localized PC. After internal validation and external temporal validation with reasonable accuracy, reliability and potential clinical value, the model can be used for clinically assisted decision-making.

This paper is collection of surveys of various technologies associated with web development that are emerging with new techniques and technical advantage. Progressive web applications (PWAs) and single page applications (SPAs) are the main constituents to make web development more user friendly and facilitates increased utility. AI-generated frontend highlights the ability of artificial intelligence in automating UI/UX layout optimizing content and making web development a hassle-free experience. The reader can take a look at the impacts of serverless architecture, addressing issues related with cold start latency and safety. Additionally, the survey delves into techniques starting from CSS-superior card design to VR integration. After the introduction part there is a comparative analysis on the basis of different attributes namely focus, performance, scalability, security and innovation between the upcoming new technologies and existing technologies and how the new technologies ensure a more optimised experience. Moreover, the paper is also equipped with bar graphs that show how the use of AI and Ml techniques is increasing over the years in the field of web development. The survey paper draws conclusions from a huge variety of research paper from various authors across the globe., this review provides treasured insight into the complexity, advantages, and real-international packages of this generation, serving to an important element inside the evolving digital landscape of cutting-edge web improvement. Lastly, we concluded the paper with the mention worthy points we obtained from the research, literature review and experience. Also, we have added scope of research for recreational purposes. This survey aims to make web development enthusiasts to get to know about the new techniques and overall become a better developer. [ABSTRACT FROM AUTHOR]

Objective: The cT1a vs. cT1b substratification was introduced in 1992 but never formally tested since. We tested the discriminative ability of cT1a vs. cT1b substaging on cancer-specific survival (CSS) in contemporary incidental prostate cancer (PCa) patients. Design, Setting and Participants: Incidental (cT1a/cT1b) PCa patients were identified within the Surveillance, Epidemiology, and End Results (SEER) database (2004–2015). Outcome measurements and Statistical Analysis: Kaplan–Meier estimates, as well as uni- and multivariable Cox regression models predicted CSS at five years. Subgroup analyses addressed CSS at five years according to active vs. no local treatment (NLT) as well as Gleason score sum (GS; 6 vs. 7 vs. ≥ 8). Results and Limitation: We identified a total of 5,155 incidental prostate cancer patients of which 3,035 (59%) were stage cT1a vs. 2,120 (41%) were stage cT1b. In all incidental PCa patients, CSS at five years was 95% (95% CI 0.94–0.96). In cT1a patients, CSS at five years was 98 vs. 90% in cT1b patients (p < 0.001). In multivariable Cox regression analyses, cT1b independently predicted 2.8-fold higher CSM than cT1a (HR 2.5, 95% CI 1.8–3.6, p < 0.001) for incidental PCa patients who underwent NLT. In subgroup analyses, cT1b represented an independent predictor of higher CSM in GS ≥ 8 (HR 3.0, 95% CI 1.4–6.2, p = 0.003), and GS 7 (HR 3.9, 95% CI 1.6–9.7 p = 0.002) patients who underwent NLT. For actively treated patients, cT1b was not independently associated with worse CSM. Conclusion: The historical subclassification of cT1a vs. cT1b in incidental PCa patients displayed a strong ability to discriminate CSS in contemporary GS 7 and GS ≥ 8 patients who underwent NLT. However, no statistically significant difference was recorded in actively treated patients. In consequence, the importance of the current substage stratification predominantly applies to GS ≥ 8 patients who undergo a non-active treatment approach. [ABSTRACT FROM AUTHOR]

Objective: Prostate cancer (PC) is a significant disease affecting men's health worldwide. More than 60% of patients over 65 years old and more than 80% are diagnosed with localized PC. The current choice of treatment modalities for localized PC and whether overtreatment is controversial. Therefore, we wanted to construct a nomogram to predict the risk factors associated with cancer-specific survival (CSS) and overall survival (OS) in elderly patients with localized PC while assessing the survival differences in surgery and radiotherapy for elderly patients with localized PC. Methods: Data of patients with localized PC over 65 years were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression models were used to determine independent risk factors for CSS and OS. Nomograms predicting CSS and OS were built using multivariate Cox regression models. The consistency index (C-index), the area under the subject operating characteristic curve (AUC), and the calibration curve were used to test the accuracy and discrimination of the prediction model. Decision curve analysis (DCA) was used to test the potential clinical value of this model. Results: A total of 90,434 patients over 65 years and diagnosed with localized PC from 2010 to 2018 were included in the study. All patients were randomly assigned to the training set (n = 63,328) and the validation set (n = 27,106). Univariate and multivariate Cox regression model analysis showed that age, race, marriage, T stage, surgical, radiotherapy, prostate-specific antigen (PSA), and Gleason score (GS) were independent risk factors for predicting CSS in elderly patients with localized PC. Age, race, marriage, surgery, radiotherapy, PSA, and GS were independent risk factors for predicting OS in elderly patients with localized PC. The c-index of the training and validation sets for the predicted CSS is 0.802(95%CI:0.788–0.816) and 0.798(95%CI:0.776–0.820, respectively). The c-index of the training and validation sets for predicting OS is 0.712(95%:0.704–0.720) and 0.724(95%:0.714–0.734). It shows that the nomograms have excellent discriminatory ability. The AUC and the calibration curves also show good accuracy and discriminability. Conclusion: We have developed new nomograms to predict CSS and OS in elderly patients with localized PC. After internal validation and external temporal validation with reasonable accuracy, reliability and potential clinical value, the model can be used for clinically assisted decision-making. [ABSTRACT FROM AUTHOR]

Background: Intestinal-type gastric adenocarcinoma, representing 95 % of gastric malignancies, originates from the malignant transformation of gastric gland cells. Despite its prevalence, existing methods for prognosis evaluation of this cancer subtype are inadequate. This study aims to enhance patient-specific prognosis evaluation by analyzing the clinicopathological characteristics and prognostic risk factors of intestinal-type gastric adenocarcinoma patients using data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute (NCI). Methods: We extracted clinical data for patients diagnosed with intestinal-type gastric adenocarcinoma between 2010 and 2015 from the SEER database, selecting 257 cases based on predefined inclusion and exclusion criteria. Independent risk factors for overall survival (OS) and cancer-specific survival (CSS) were identified using a Cox regression model. A nomogram model for predicting OS or CSS was developed from the Cox risk regression analysis and validated through the consistency index (C-index), ROC curve, and calibration curve. Results: Age, primary tumor resection, chemotherapy, lymph node metastasis, and tumor size were identified as independent prognostic factors for OS and CSS (P

Abstract Objective This study aimed to evaluate the understanding and adherence to child car safety seat (CSS) guidelines among the general population in the Makkah region of Saudi Arabia following the implementation of new traffic regulations. Method A four-section questionnaire addressing knowledge and attitudes regarding CSSs was distributed among the general population of Makkah city in light of new traffic regulations. Data were collected from 487 respondents, and the chi-square test was utilized for statistical analysis. Results A total of 144 (29.6%) respondents reported using seat belts before the implementation of new regulations, while 101 (20.7%) started using them afterward. Only 31 (6.4%) stated that they would not use them. A total of 318 (65.3%) reported that their behavior towards using child car safety seats abroad will not change. Additionally, 452 (92.8%) believed that government financial support for car seat costs would increase usage and compliance. The knowledge level among those using CSSs (40.3%) was significantly higher than among those who do not (11.3%) (p = .001). Conclusions Most of the respondents believed that governmental financial support for CSS costs will lead to increased compliance. Furthermore, there is a direct correlation between knowledge levels and compliance. Therefore, further investment should be focused on raising awareness and enforcing strict regulations.

This study aimed to develop and validate nomograms for improving overall survival (OS) and cancer-specific survival (CSS) predictions in elderly patients diagnosed with vulvar squamous cell carcinoma (VSCC). Data from the Surveillance, Epidemiology, and End Results (SEER) database were retrieved to gather information on VSCC patients aged 60 years and older. Univariate and multivariate Cox regression analyses were conducted to identify independent risk factors. Based on these factors, nomograms were constructed to predict patients' OS and CSS. Model accuracy and discriminative power were assessed using the concordance index (C-index), area under the receiver operating characteristic curve (AUC), and calibration curves. Decision curve analysis (DCA) was also employed to assess the clinical significance of the proposed nomograms in comparison to the TNM (Tumor Node Metastasis) and AJCC (American Joint Committee on Cancer) staging systems. Between 2000 and 2019, a total of 2736 elderly VSCC patients met the inclusion criteria and were randomly divided into two groups: a training set (N = 1927) and a validation set (N = 809). Independent risk factors for predicting OS included age, grade, summary stage, T stage, N stage, primary site surgery, chemotherapy, regional node status and tumor size. For predicting CSS, independent risk factors were age, summary stage, AJCC stage, T stage, N stage, primary site surgery, chemotherapy, regional node status and tumor size. The C-index for OS in the training and validation sets was 0.724 (95% CI: 0.710-0.738) and 0.73 (95% CI: 0.708-0.752), respectively. In contrast, for CSS prediction, the C-index was 0.758 (95% CI: 0.740-0.776) in the training set and 0.774 (95% CI: 0.749-0.799) in the validation set. The proposed nomograms for predicting OS and CSS in VSCC patients aged 60 and older demonstrate promising potential as reliable tools that clinicians can consider to make more informed therapeutic decisions. [ABSTRACT FROM AUTHOR]

This article deals with the potential of digitalization to improve participants' skills in the agri-food market. The topic of improving technical mechanisms and software technologies aimed at the qualitative development of e-education in Russia is being updated. The problems of providing the agri-food market with skilled personnel are analyzed. The problems of terminological uncertainty concerning the concepts of digitalization and distance education in computer sciences (informatics), information sciences, and other related scientific fields that have a negative impact on the overall wide turnover of scientific research, are touched upon. The authors propose a single generalized nonhierarchical technological model of the organization of e-education, schematically describing a set of software technologies in the form of a cloud telecommunications system. Particularly, it is recommended to use multicasting technologies and adaptive network means of signal delivery to promote educational content in the form of internet television. The basic integrative network tools and protocols for the specific organization of electronic educational activities via internet television are technically annotated. The conclusions briefly and conceptually reflect the course of the research, as well as the logic of the material analyzed by the authors, summarizing the research work done and to provide some recommendations for the operation of multicasting technology in the form of internet television in Russia. [ABSTRACT FROM AUTHOR]

The development of web technologies has led to the availability of various multimedia content on the web. In addition to text, images, and videos, transitions, animations and interactivity are increasingly used. Transitions and animations present the content on the page in more interesting, attractive ways and can attract and retain users longer, improving the measurable parameters of page visits as well as the user experience. Animations on the web can be created in many ways. And if the animations are not executed well, they can slow down the page. The goal of this article is to compare the measurable parameters of animations created with different technologies. HTML, CSS, SVG, P5js, WebGL technologies and animations created with a 3D modeling tool were used. The article uses two different examples of animations created with different technologies and then tested on several devices. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to evaluate the understanding and adherence to child car safety seat (CSS) guidelines among the general population in the Makkah region of Saudi Arabia following the implementation of new traffic regulations. Method: A four-section questionnaire addressing knowledge and attitudes regarding CSSs was distributed among the general population of Makkah city in light of new traffic regulations. Data were collected from 487 respondents, and the chi-square test was utilized for statistical analysis. Results: A total of 144 (29.6%) respondents reported using seat belts before the implementation of new regulations, while 101 (20.7%) started using them afterward. Only 31 (6.4%) stated that they would not use them. A total of 318 (65.3%) reported that their behavior towards using child car safety seats abroad will not change. Additionally, 452 (92.8%) believed that government financial support for car seat costs would increase usage and compliance. The knowledge level among those using CSSs (40.3%) was significantly higher than among those who do not (11.3%) (p =.001). Conclusions: Most of the respondents believed that governmental financial support for CSS costs will lead to increased compliance. Furthermore, there is a direct correlation between knowledge levels and compliance. Therefore, further investment should be focused on raising awareness and enforcing strict regulations. [ABSTRACT FROM AUTHOR]

The article titled "Quantum codes from ¿-dual-containing constacyclic codes over ¿¿,¿" explores the creation of quantum codes using constacyclic codes over a specific non-chain ring. The authors examine the properties of constacyclic codes and define a Gray map. They establish conditions for constacyclic codes to be self-orthogonal and dual-containing. The article then constructs quantum codes using the CSS or Hermitian construction and compares them to existing codes. This research contributes to the field of quantum information and coding theory. [Extracted from the article]

This study uses a flow visualization method to analyze the flow field of a shed-type coal storage shed, comparing and verifying the findings through numerical calculation. Initially, a coal warehouse-scale model is created for flow visualization. Laser-based cross-sectional analysis yields essential flow data, from which red–green–blue values are extracted, and the flow object with the highest G value is selected. Subsequently, as the video frame changes, the moving object is tracked, and the direction is derived. The velocity vector of the moving object within the designated area is derived. Finally, we compare the results of the flow visualization experiment with the simulation outcome. Notably, the error rate in regions characterized by high flow velocity is found to be low, and a high implementation rate is observed in areas with many floating objects to track. Conversely, implementation accuracy is lower in low-velocity fields. Both methods result in a recirculation zone at the top of the inlet, and a flow stagnation region occurs on the upper part of the central wall. [ABSTRACT FROM AUTHOR]

PurposeTo examine the role age plays in the treatment and prognosis of locally advanced head and neck cancer (LAHNC) treated definitively with radiation alone or combined modality therapy.MethodsA retrospective analysis was performed of three NRG/RTOG trials examining either radiation alone or combined radiation and systemic therapy for LAHNC. The effect of age (≥70 yrs.) on cause-specific survival (CSS), overall survival (OS), and toxicity was evaluated.ResultsA total of 2688 patients were analyzed, of whom 309 patients (11.5%) were ≥ 70. For all studies combined, the hazard ratio (HR) for CSS for patients age ≥ 70 vs. those

Background and purpose: Sporadic cerebral amyloid angiopathy (CAA) is a small vessel disease, resulting from progressive amyloid-β deposition in the media/adventitia of cortical and leptomeningeal arterioles. We sought to assess the prevalence of baseline characteristics, clinical and radiological findings, as well as outcomes among patients with CAA, in the largest study to date conducted in Greece. Methods: Sixty-eight patients fulfilling the Boston Criteria v1.5 for probable/possible CAA were enrolled and followed for at least twelve months. Magnetic Resonance Imaging was used to assess specific neuroimaging markers. Data regarding cerebrospinal fluid biomarker profile and Apolipoprotein-E genotype were collected. Multiple logistic regression analyses were performed to identify predictors of clinical phenotypes. Cox-proportional hazard regression models were used to calculate associations with the risk of recurrent intracerebral hemorrhage (ICH). Results: Focal neurological deficits (75%), cognitive decline (57%), and transient focal neurological episodes (TFNEs; 21%) were the most common clinical manifestations. Hemorrhagic lesions, including lobar cerebral microbleeds (CMBs; 93%), cortical superficial siderosis (cSS; 48%), and lobar ICH (43%) were the most prevalent neuroimaging findings. cSS was independently associated with the likelihood of TFNEs at presentation (OR: 4.504, 95%CI:1.258–19.088), while multiple (>10) lobar CMBs were independently associated with cognitive decline at presentation (OR:5.418, 95%CI:1.316–28.497). cSS emerged as the only risk factor of recurrent ICH (HR:4.238, 95%CI:1.509–11.900) during a median follow-up of 20 months. Conclusions: cSS was independently associated with TFNEs at presentation and ICH recurrence at follow-up, while a higher burden of lobar CMBs with cognitive decline at baseline. These findings highlight the prognostic value of neuroimaging markers, which may influence clinical decision-making. [ABSTRACT FROM AUTHOR]

This paper delves into the concept of virtual electrical laboratories, offering a comprehensive exploration of their design and functionality. A user-centered perspective is employed to analyze existing limitations and underscore the critical need for improved usability in virtual lab design. The study proposes practical applications aimed at swiftly enhancing the efficacy of these virtual environments, focusing on experiments involving R-L-C, R-L, and R-C circuits for both steadystate and transient responses. Using JavaScript, Hypertext Markup Language (HTML), and Cascading Style Sheets (CSS), the paper introduces a validated methodology through real-time experiments conducted in the laboratory and on the proposed virtual lab platform. The versatility of this approach positions it as a viable solution for implementation in various domains, including electric machines, power systems, and circuit theory labs. In alignment with the growing trend of long-distance education, where students seek engagement in diverse experiments from their homes, this paper contributes to the evolution of virtual electrical laboratories. [ABSTRACT FROM AUTHOR]

The development of web technologies has led to the availability of various multimedia content on the web. In addition to text, images, and videos, transitions, animations and interactivity are increasingly used. Transitions and animations present the content on the page in more interesting, attractive ways and can attract and retain users longer, improving the measurable parameters of page visits as well as the user experience. Animations on the web can be created in many ways. And if the animations are not executed well, they can slow down the page. The goal of this article is to compare the measurable parameters of animations created with different technologies. HTML, CSS, SVG, P5js, WebGL technologies and animations created with a 3D modeling tool were used. The article uses two different examples of animations created with different technologies and then tested on several devices.

Background: Ovarian clear cell carcinoma (OCCC) is a special pathological type of epithelial ovarian cancer (EOC). Due to its low incidence rate, there is a lack of real-world studies at present. The purpose of the study is to construct a nomogram model for predicting postoperative cancer-specific survival (CSS) of patients with OCCC and analyze in detail the risk factors associated with OCCC. To construct a nomogram model for predicting postoperative CSS of patients with OCCC and analyze in detail the risk factors associated with OCCC. Methods: The clinical pathological data of 596 OCCC patients were collected from the surveillance, epidemiology, and end results (SEER) database from 2010 to 2015. Of these patients, 420 were allocated to the training group and 176 patients to the validation group using bootstrap resampling. The nomogram was developed based on the Cox regression model for predicting the cancer-specific survival probability of patients at 3 and 5 years after the operation. The model was evaluated in both the training and validation groups using consistency index, receiver operating characteristic (ROC), and calibration plots. Results: The independent risk factors for CSS in OCCC patients included International Federation of Gynecology and Obstetrics (FIGO) stage, race, age, tumor laterality, and the log odds of positive lymph nodes (LODDS). The nomograms were established for predicting the 3-year and 5-year CSS of patients after operation. The c-index of the nomogram for CSS was 0.786 in the training group and 0.742 in the verification group. Area under the curve (AUCs) of the 3-year and 5-year ROC curves were 0.818, 0.824 in the training group; and 0.816, 0.808 in the verification group, respectively. Conclusions: Based on the real population data, the construction of the CSS prediction model after OCCC surgery has high prediction efficiency, can identify postoperative high-risk OCCC patients, and can be a valuable aid for the tumor staging system.

The local treatment may not effectively improve the prognosis of mPCa patients. Patients with low level PSA underwent local treatment had better OS. Compared with RT, RP could effectively improve the prognosis of mPCa patients. Introduction: In order to identify the impact of local treatment on overall survival (OS) and cancer-specific survival(CSS) in men with mPCa. Materials and methods: Men with mPCa undergoing local treatment by radical prostatectomy (RP), radiotherapy (RT) including beam radiation and brachytherapy or no local treatment identified from Surveillance, Epidemiology, and End Results (SEER) database (2010-2015). To evaluate local therapy impact on OS and CSS in relation to baseline character istics, univar iate and multivar iable Cox regression analysis was used to predict the prognostic value of local therapy in OS and CSS. Results: A total of 902 (25.8%) patients received local treatment and 2598 (74.2%) patients did not receive local treatment in this study. The Kaplan-Meier curves showed that there was significant difference in OS between patients underwent local treatment and patients without local treatment (P = .013) but not in CSS (P = .068). While multivariate Cox regression analysis showed that local treatment may not significantly improve OS(P = .724). In subgroup analysis, Among patients with prostate-specific antigent (PSA) < 10ng/ml, local treatment could significantly improve OS and CSS (all P < .05). Multivariate Cox regression analysis showed that local treatment could be used as an independent prognostic factor to improve OS in mPCa patients with PSA < 10ng/ml (P = .031). Another multivariate Cox regression analysis demonstrated that patients with mPCa undergoing RP had better OS and CSS (all P < .05). Conclusions: Our results showed that local salvage therapy did not seem to be an independent prognostic factor in all mPCa patients, but we found that local therapy can show a better prognosis in patients with lower PSA levels. Compared with RT, patients who had experienced RP may have better prognosis. We still need prospective research to further study the application value of local treatment in mPCa patients. [ABSTRACT FROM AUTHOR]

The world has now fully transitioned into the computing era, especially with the emergence of Cloud Computing. Technologies like wireless sensor networks and RFID (Radio Frequency Identification) are prepared to take on new tasks. A significant amount of data is generated, acquired, and stored to take control of our lives and make them more comfortable and secure. The use of various machine learning techniques and large data processing is made possible by cloud computing technologies. The Internet of Things (IoT) system connects various things, objects, and sensors using a cloud-based universal global neural network. Cloud computing and the Internet of Things are quickly developing services with unique characteristics. With the recent growth of cloud computing and IoT-based smart applications, data production, data integrity, confidentiality, authentication, and verification have become more crucial. Nowadays, every business demands that its data be updated in the cloud to be accessed from anywhere. In this regard, people can easily access the internet on their computers and smartphones in most countries, making online information transmission much simpler and more affordable. The author's goal in this project is to develop a smart vehicle tracking system that will help universities, colleges, malls, etc. to monitor incoming and outgoing vehicles, within and out of time, and vehicle owners' details on one website. This project introduces a novel algorithm that delivers real-time information about the vehicles (vehicle in time, out time, current date & owner details) and all the information stored on the cloud so anyone can show all the real-time information. [ABSTRACT FROM AUTHOR]

Background: Previous studies have shown that cortical superficial siderosis (cSS) can increase hematoma volume and predict poor outcomes following primary intracerebral hemorrhage (ICH). Objective: We aimed to determine whether a large hematoma volume was the essential factor contributing to worse outcomes of cSS. Methods: Patients with spontaneous ICH underwent a CT scan within 48 h after ictus. Evaluation of cSS was performed using magnetic resonance imaging (MRI) within 7 days. The 90-day outcome was assessed using the modified Rankin Scale (mRS). In addition, we investigated the correlation between cSS, hematoma volume, and 90-day outcomes using multivariate regression and mediation analyses. Results: Among the 673 patients with ICH [mean (SD) age, 61 (13) years; 237 female subjects (35.2%); median (IQR) hematoma volume, 9.0 (3.0-17.6) ml], 131 (19.5%) had cSS. There was an association between cSS and larger hematoma volume (β = 4.449, 95% CI 1.890-7.009, p < 0.001) independent of hematoma location and was also related to worse 90-day mRS (β = 0.333, 95% CI 0.008-0.659, p = 0.045) in multivariable regression. In addition, mediation analyses revealed that hematoma volume was an essential factor mediating the effect of cSS on unfavorable 90-day outcomes (proportion mediated:66.04%, p = 0.01). Conclusion: Large hematoma volume was the major charge of directing cSS to worse outcomes in patients with mild to moderate ICH, and cSS was related to a larger hematoma in both lobar and non-lobar areas. [ABSTRACT FROM AUTHOR]

Background: Biliary system cancers are most commonly gallbladder cancers (GBC). Elderly patients (≥ 65) were reported to suffer from an unfavorable prognosis. In this study, we analyzed the RNA-seq and clinical data of elderly GBC patients to derive the genetic characteristics and the survival-related nomograms. Methods: RNA-seq data from 14 GBC cases were collected from the Gene Expression Omnibus (GEO) database, grouped by age, and subjected to gene differential and enrichment analysis. In addition, a Weighted Gene Co-expression Network Analysis (WGCNA) was performed to determine the gene sets associated with age grouping further to characterize the gene profile of elderly GBC patients. The database of Surveillance, Epidemiology, and End Results (SEER) was searched for clinicopathological information regarding elderly GBC patients. Nomograms were constructed to predict the overall survival (OS) and cancer-specific survival (CSS) of elderly GBC patients. The predictive accuracy and capability of nomograms were evaluated through the concordance index (C-index), calibration curves, time-dependent operating characteristic curves (ROC), as well as area under the curve (AUC). Decision curve analysis (DCA) was performed to check out the clinical application value of nomograms. Results: Among the 14 patients with GBC, four were elderly, while the remaining ten were young. Analysis of gene differential and enrichment indicated that elderly GBC patients exhibited higher expression levels of cell cycle-related genes and lower expression levels of energy metabolism-related genes. Furthermore, the WGCNA analysis indicated that elderly GBC patients demonstrated a decrease in the expression of genes related to mitochondrial respiratory enzymes and an increase in the expression of cell cycle-related genes. 2131 elderly GBC patients were randomly allocated into the training cohort (70%) and validation cohort (30%). Our nomograms showed robust discriminative ability with a C-index of 0.717/0.747 for OS/CSS in the training cohort and 0.708/0.740 in the validation cohort. Additionally, calibration curves, AUCs, and DCA results suggested moderate predictive accuracy and superior clinical application value of our nomograms. Conclusion: Discrepancies in cell cycle signaling and metabolic disorders, especially energy metabolism, were obviously observed between elderly and young GBC patients. In addition to being predictively accurate, the nomograms of elderly GBC patients also contributed to managing and strategizing clinical care. [ABSTRACT FROM AUTHOR]

Purpose: Metastatic early-onset colorectal cancer (EO-CRC) is on the rise, yet there is a dearth of predictive models for this disease. Therefore, it is crucial to develop a nomogram to aid in the early detection and management of metastatic colorectal cancer in young patients. Methods: We retrieved data from the SEER database on patients with metastatic colorectal cancer aged 50 or younger between 2010 and 2017. The data were randomly allocated in a 7:3 ratio to training and validation cohorts, and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS) at 1, 3, and 5 years. The nomograms were developed based on these factors, and their discriminatory and calibration capabilities were validated. Using the nomogram risk scores, patients were stratified into low-risk and high-risk groups. Results: The study included 2470 patients with metastatic EO-CRC. Univariate and multivariate Cox regression analysis identified 12 independent risk factors that were included in the nomogram. The training cohort had a consistency index (C-index) of 0.71, while the validation cohort had a C-index of 0.70, demonstrating good predictive accuracy. Calibration plots showed a high level of consistency between the observed and predicted values, with overlapping plots along the diagonal. The decision curve analysis (DCA) revealed that the nomogram had a high clinical application value. Conclusions: The novel nomograms were created to predict the prognosis of patients with metastatic EO-CRC, which can aid clinicians in developing more effective treatment strategies and contribute to more accurate prognostic assessments. [ABSTRACT FROM AUTHOR]

Progress in schooling using competence-based teaching for students is a priority in setting up a quality-centered educational process. Thus, using ICT tools as teaching–learning techniques represents an important objective in reaching scholastic performance and the capacity to offer students various experiences in teaching. Starting with an analysis of research on integrating ICT tools in the educational environment, this study is aimed at presenting teaching opportunities for all students, seeing education through the lens of those instruments specific to a secondary school level, referencing the subject of geography. The applied research design includes mixed methods applied to a total of 674 students, based on results received before and after a written evaluation, to determine the level of knowledge of the students. The present study evaluates the learning environment in which a successful and practical integration of ICT tools is anticipated in the teaching and learning process, from the perspective of the comparative measurement of the impact on the tests, resulting from the formative assessment. The conducted experiment and the Google Forms questionnaires suggest, through the degree of involvement of all students, how technology can facilitate the teaching–learning process. The results showed that there are statistically significant differences between the experimental and the control group, and that information and communication technologies (ICT) represent an important tool for improving performance and developing participatory skills, having the ability to provide students with positive results. [ABSTRACT FROM AUTHOR]

Background: Surgery is the sole curative therapy for gallbladder cancer (GBC) patients. Confronting an aging society, the demand to treat elderly patients with GBC is increasing. But there are few reports on survival benefit in elderly GBC patients treated with surgery. Therefore, we designed this population-based study to assess the survival benefit of surgery in GBC patients aged 70 years or older. Methods: GBC patients aged 70 years or older were identified in the surveillance, epidemiology, and end results cancer (SEER) database from 2010 to 2017. A 1:1 propensity score matching (PSM) analysis was conducted to balance the baseline data of patients. Overall survival (OS) and cancer-specific survival (CSS) of patients were evaluated by Kaplan-Meier analysis and compared with log-rank test. Independent risk factors associated with OS and CSS were determined by univariate and multivariate Cox proportional hazard regression analyses and subgroup analysis were performed. Results: A total of 2055 GBC patients aged 70 years or older were included in our study, with 1734 patients underwent surgery. Before PSM, the age, AJCC stage, TNM stage, and chemotherapy were significantly different between the surgery and no-surgery group (all P<0.05). Patients with surgery had significantly longer OS and CSS than those without surgery (P<0.0001). After 1:1 PSM, the differences in clinicopathological characteristics were reduced (all P>0.05). Kaplan-Meier analysis also showed patients received surgery had significantly better OS and CSS (P<0.0001). Subgroup analysis further indicated that almost all subgroups received surgery had OS and CSS advantage, especially patients aged 70-84 years old. Finally, univariate and multivariate COX regression analyses showed that age, AJCC stage and T stage were independent prognostic factors for OS and CSS in patients undergoing surgery. Conclusion: Our study found that surgery significantly improved OS and CSS in GBC patients aged 70-84 years, but more prospective studies are needed to prove our findings. [ABSTRACT FROM AUTHOR]

In order to high-value utilize the secondary solid waste calcium silicate slag (CSS) generated in the process of the extraction of alumina from fly ash, in this paper, tobermorite was synthesized using CSS and silica fume (SF) at different hydrothermal synthesis times. The hydrothermal synthesis was evaluated by means of XRD, SEM, EDS, and micropore analysis, and the results discussed. The results indicate that β-dicalcium silicate, the primary phase in the CSS, partially hydrates at the beginning of hydrothermal synthesis conditions to form mesh-like crystal C-S-H (calcium-rich) and calcium hydroxide. It then reacts with SF to form yarn-like crystal C-S-H (silicon-rich) and then furtherly grows into large flake-like crystal C-S-H (silicon-rich) at 3 h. When the synthesis time is 4 h, β-dicalcium silicate completely hydrates, and crystal C-S-H (calcium-rich) and calcium hydroxide further reacts with large flake-like crystal C-S-H (silicon-rich) to generate medium flake-like tobermorite. With the increase in time, the crystal of hydrothermal synthesis grows in the order of medium flake-like tobermorite, small flake-like tobermorite, strip flake-like tobermorite, fibrous-like tobermorite, and spindle-like tobermorite, and the APV, APD, and SSA show a trend of decreasing first, then increasing, and then decreasing. Meanwhile, strip flake-like tobermorite with a higher average pore volume (APV), average pore diameter (APD), and specific surface area (SSA) can be synthesized at 6 h. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive step-by-step process for customizing the Koha Online Public Access Catalogue (OPAC) at GITAM Institute of Medical Sciences and Research, GITAM University, Visakhapatnam. The primary objective is to demonstrate the customization stages of the Koha OPAC, offering library professionals an opportunity to leverage its full potential. The key highlights include implementing "Koha New Arrivals 3D Cover flow Display on OPAC without Carousel Plug-in (without a server using)" and integrating Library Statistics within the OPAC. Methodology: An experimental research approach was adopted to personalize the OPAC. The customization involved the utilization of HTML, CSS, and Java code to modify OPAC's front end, ensuring a tailored experience for users. Findings: The Koha OPAC comprises six distinct sections: Header, Left (Upper & Bottom) Navigation, Main User Block (located at the centre of the OPAC for displaying content), Right Navigation, and Footer. The technology employed in the customization process is highly interactive, thereby allowing library professionals to customize the OPAC according to their needs, with the potential to explore advanced programming concepts. Originality: This study's original contribution lies in empowering library professionals with the knowledge of new features and functionalities offered by Koha through the customization process. Furthermore, the customized OPAC provides users with a centralized platform to access open-access e-resources and subscribed databases, streamlining their research process and eliminating the need to remember specific URLs for various resources. Users can quickly search and access relevant resources with a single click, saving valuable time and effort. [ABSTRACT FROM AUTHOR]

Evaluation of chronic constipation is important, although it is often difficult to satisfactorily treat due to the complex interplay of factors. This study aimed to determine whether the volume of intraluminal contents and lateral diameter of the colon measured from computed tomography (CT) images were correlated with the symptoms of chronic constipation and stool consistency. Consecutive patients who underwent the Constipation Scoring System (CSS), Bristol Stool Form Scale (BSFS) questionnaires and simple abdominal CT were selected retrospectively. The intestinal tract diameter at each site was measured, and the amounts of stool and gas in the intestinal tract were evaluated at five levels. Of the 149 study participants, 54 were males and 95 were females and their mean age was 72.1 years. In the right hemi-colon, CSS5 (Time) correlated significantly with gas volume (p < 0.01). In the left hemi-colon, stool volume correlated significantly with CSS2 (Difficulty), CSS3 (Completeness), CSS5 (Time) and CSS total (p < 0.05). The BSFS negatively correlated with gas volume and diameter in the right hemi-colon and with gas volume in the rectum (p < 0.05). CT findings including stool volume, gas volume and diameter correlated with some constipation symptoms and stool consistency. These findings may be useful in evaluating and treating constipation. [ABSTRACT FROM AUTHOR]