Concrete Data Research Articles

Structural analysis and optimization of steel truss bridge based on finite element method

In view of the defects of the current mainstream structural safety analysis method of Truss bridge, the safety analysis method at the component level should be further developed. Therefore, it is necessary to carry out the overall safety analysis and structural optimization at the structural level. Based on the concrete data of the actual steel truss beam bridge, this paper uses ABAQUS and MIDAS finite element software to model the truss structure. First of all, the static analysis is carried out, and then the structural analysis and optimization of the steel truss beam bridge is carried out with the elastic modulus reduction method. Based on the linear elastic finite element method, the bearing state of each component is solved, and the ultimate bearing capacity of the whole structure is calculated iteratively. Thus, the limitation of incremental nonlinear finite element method is overcome, and higher calculation accuracy and efficiency are realized.

BEEF CATTLE CONFINEMENT SYSTEMS UNDER THE HIGH GRAIN DIET: a case study on a farm in the municipality of João Pinheiro/MG in the year 2023

Brazil is recognized as one of the largest beef producers in the world. However, as in any production sector, the search for improvements and innovations is constant to meet market demands and achieve higher production levels. One of the techniques that has gained prominence as a means of improving production to meet growing market demands is the confinement of beef cattle with diets based on a high grain content. The general objective of this research is to describe the methods of confinement of cattle, with emphasis on the confinement system based on a high-grain diet, through a case study carried out on a farm in the city of João Pinheiro/MG, where it was possible to compile concrete data on the topic. To achieve the general objective, it was necessary to outline the following specific objectives: prepare a brief literature review on the two types of confinement; present a case study on high grain confinement and discuss the results in accordance with the literature. This is basic research, in terms of approach it is qualitative research. As for the objectives, this is a descriptive and exploratory research. As for the procedure, it is bibliographical research and case study. The data presented in the case study revealed that the confinement system with a high grain content proved to be more profitable compared to the conventional method, due to the shorter period of stay of the animals in the confinement, which allows for a more efficient turnover. broad. The high-grain diet is beneficial because the animal gains weight quickly, there is predictability, a lower age for slaughter and a lower environmental impact.

Fonologi Bahasa Perbedaan Alofon Bahasa Indonesia Dengan Bahasa Sunda

The purpose of this study was aimed at determining the difference between Indonesian allophones and Sundanese. in Indonesian, allophones are often associated with variations in the pronunciation of consonants and vowels, while in Sundanese these variations can include word forms and intonation patterns. The method used in this study uses qualitative methods by investigating the differences between Indonesian allophones and Sundanese so as to produce concrete data. Such as differences in vowel phonemes and consonant phonemes between Indonesian and Sundanese, differences in consonant allophones and vowel allophones, differences in the use of certain sounds, differences in intonation patterns and accents. With this research, it can produce data that can distinguish between Indonesian allophones and Sundanese allophones

Pengaruh Variasi Produk Terhadap Minat Beli Konsumen Erigo Store Melalui Media Instagram

This research wants to find out more about "The Effect of Product Variation on Consumer Purchase Interest" in accordance with the subject matter raised, namely the Effect of Product Variation on Consumer Purchase Interest at Erigo Store through Instagram Media. The background to this research is that in the current digital era, social media, especially Instagram, has become a popular platform for e-commerce businesses to promote and sell their products. In this context, this study tries to understand how the variety of products offered by erigo stores through the media of their Instagram accounts affect consumer buying interest. The purpose of this study was to find out how product variations in Erigo store products can influence consumer buying interest, to find out what factors most influence consumers in choosing Erigo store products through Instagram media. The method used in this research is descriptive quantitative research method based on positivistic (concrete data), research data in the form of numbers that will be measured using statistics as a means of calculating the test, related to the problem under study to produce a conclusion. The population in this study are followers of Instagram Erigo store. Conclusions based on the results of the analysis and discussion of money that the researchers have explained, it can be concluded that attractive and varied product variations can increase consumer buying interest.

Self-updatable AI-assisted design of low-carbon cost-effective ultra-high-performance concrete (UHPC)

Machine learning has exhibited high efficiency in designing concrete. However, collecting the dataset for training machine learning models is challenging. To address this challenge, this paper develops an approach to collect concrete design data automatically based on information extraction techniques. The approach enables machine learning models to automatically track, extract, and learn knowledge embedded in data from relevant publications. The approach has been incorporated into AI-assisted design of low-carbon cost-effective ultra-high-performance concrete (UHPC) via integrating the capabilities of automatically collecting and processing data, predicting UHPC properties, and optimizing UHPC properties regarding the material cost, carbon footprint, and compressive strength. A self-updating mechanism is imparted to continuously learn available data. Such a mechanism enables the self-updatable automatic discovery of low-carbon cost-effective UHPC. The results showed increasing prediction accuracy and optimization performance of the proposed approach over time when more knowledge was learned from new data, therefore accelerating the design of UHPC.

PENGEMBANGAN DAN POLA PEMBINAAN INDUSTRI KREATIF ‘SONGKOK RECCA’ DESA PACCING KABUPATEN BONE

The main problem in this research is how the development and pattern of fostering the Songkok Recca creative industry in Paccing Village, Awangpone District, Bone Regency. This study aims to determine the development of the Songkok Recca creative industry in Paccing Village, Awangpone District, Bone Regency and to determine the patterns of fostering and regenerating the Songkok Recca creative industry in Paccing Village, Awangpone District, Bone Regency. The method used in this research is descriptive qualitative method.The subjects in this research were craftsmen who had decades of experience and Songkok Recca entrepreneurs who had also carried out their activities for many years. This research data was obtained through observation techniques, interviews and documentation which were used to obtain concrete data related to this research problem.The results of this research show the development and pattern of fostering the Songkok Recca creative industry in Paccing village, Awangpone District, Bone Regency. Songkok Recca has undergone various developments, including developing motifs, developing shapes and developing the materials used. Likewise, the development of marketing for Songkok Recca productionIt has spread to overseas countries such as Australia and Malaysia. For training patterns for craftsmen carried out in the form of divisions. There are those that are built specifically to make just the base part, there are those that are built specifically to make only the surrounding parts and there are also those that are built to make from the base to the end a Songkok Recca. Furthermore, for regeneration training, the craftsmen hold training and training within their respective families which is intended as the next generation of their creative industry efforts so that the Songkok Recca creative industry in Paccing village, Awangpone subdistrict, Bone Regency continues to develop and be sustainable.

The effect of thirdhand smoke belief on intention to quit smoking

Aims: The study aimed to investigate the effect of thirdhand smoke perception (THS) on the intention to quit smoking.
 Methods: We measured the perceptions of 285 smokers who admitted and did not admit to the smoking cessation outpatient clinic by the Third Hand Smoke Scale (THS) and their addiction by the Fagerström Nicotine Addiction Scale (FNAS). The factors affecting the intention to quit smoking were examined by logistic regression analysis.
 Results: While 88.8% of the participants heard about passive smoking, only 14.4% stated that they had heard of thirdhand smoke. Those admitted to the smoking cessation outpatient clinic, those who had at least one smoking quitting attempt, those who wanted to quit smoking, those with high addictions, and those who were banned on smoking at home had a high THS perception, but no difference was observed in the parents. 
 Conclusion: Although SHS is high in smokers, we believe there is a need for the perception of THS to be supported to want and try to quit smoking. Even though the perception of THS, which has been studied for more than 10 years, is not at the desired level, it will be a strong psycho-technique with the concrete data it reveals in quitting smoking with the social training and orientations to be given.

An Automated Wireless System for Monitoring Concrete Structures Based on Embedded Electrical Resistivity Sensors: Data Transmission and Effects on Concrete Properties.

Modern infrastructure heavily relies on robust concrete structures, underscoring the critical need for effective monitoring to ensure their safety and durability. This paper addresses this imperative issue by introducing an innovative automated and wireless system for continuous structural monitoring. By employing embedded electrical resistivity sensors coupled with a wireless-based data transmission mechanism, real-time data collection becomes feasible. We provide a general description of the system's architecture and its application in a pilot study covering the effects of the devices on concrete properties and data transmission. The dielectric properties of concrete specimens were investigated under natural and accelerated curing/degradation and the results were used in the final design of the antenna device. Furthermore, a pilot test comprising four reinforced concrete columns was used to investigate the range of data transmission from inside to outside of the concrete, the effects of the hardware device on the compressive strength and concrete distribution in the columns, and the data transmission quality in real time under realistic exposure conditions.

Patient satisfaction of specialist nurse-led renal cancer follow-up.

For many patients with locally advanced renal cancer, management is surgery followed by surveillance imaging for several years. There is no concrete data regarding specialist nurse follow-up for patients after they have had surgery. The authors' aim was to assess patient satisfaction with specialist nurse follow-up for patients with renal cancer who have undergone surgery. A questionnaire was used to measure patient satisfaction of the specialist nurse consultation. There were 100 patients invited who had been followed up in the nurse-led clinic between January 2020 and May 2021. These patients were given a phone call to complete the questionnaire. The audit revealed that in terms of general satisfaction, 97.1% of patients felt totally satisfied with their visit/consultation at the specialist nurse clinic. Furthermore, 94.2% of patients felt that they had good continuity of care with specialist nurse follow-up. Nurse-led follow-up was found to have high levels of patient satisfaction.

Research on the application of machine learning models in speech recognition in noisy environments

In a world increasingly reliant on verbal communication with machines, this paper undertakes a rigorous exploration of the application of machine learning models in speech recognition within noisy environments. An important focus of this research lies in demonstrating the viability and robustness of these models when challenged by real-world noise interference. In particular, the utilization of deep learning models such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs) is thoroughly examined. Using concrete data and case studies, this paper uncovers a promising trajectory in the development and implementation of noise-robust speech recognition systems. In so doing, it lays a foundation for future research to enhance the practicality and effectiveness of machine learning models in this area. The ultimate goal is to ensure more reliable and accurate speech recognition that can withstand various noise conditions, thus expanding the potential for speech recognition applications in diverse and adverse environments.

Traumatic Carotid Artery Dissection — A Case Report

AbstractTraumatic carotid artery dissection (TCAD) usually occurs after a direct cervical trauma or blunt trauma that causes hyperextension and excessive rotation of the neck. The most frequent presentation of TCAD is stroke, with 80% of patients developing a stroke in the first week after the trauma. Recent data indicate that symptoms start later in non-survivors (19.5 hours after trauma) compared with survivors (12.5 hours). In this case report, a young boy, 14 years-old, developed TCAD after he fell from his bike. He developed ischemic stroke symptomatology in the eighth day of hospitalization, with full recovery of symtoms after acetylsalicylic acid (AAS) administration. The use of antithrombotic medication is recommended, aiming for better neurological outcomes and prevention of stroke in TCAD patients, as highlighted by our case. However, the treatment recommendations are based on observational studies and expert opinion, owing to the lack of concrete data on the treatment of carotid artery blunt trauma. New studies and data are required to improve diagnosis and treatment of TCAD.

Integrated Virtual Modeling and Aggregation Framework for Optimized Management of Asphaltic Concrete Mixtures Data

Integrated Virtual Modeling and Aggregation Framework for Optimized Management of Asphaltic Concrete Mixtures Data

Intelligent Analysis of Hydraulic Concrete Vibration Time Based on Convolutional Neural Network

The vibrating of concrete is one of the most important procedures that directly determines the quality of construction projects. The concrete vibration quality in field construction is mainly judged by the experience of workers, lacking quantitative indicators, and necessary supervision. However, the lack of research about concrete vibration quality led to these problems are still existing. There are some methods are proposed that are too difficult, or too expensive to use in field construction. Combined with the pouring project of Jianquan Pumped Storage Power Station in Yunyang, China, this research developed an intelligent detection system for concrete vibration time. The system took the convolutional neural network as the basic framework, and divided the concrete vibration process into three different states: vibrating, not vibrating, and no vibration tube, realized the concrete vibration time through the analysis of concrete vibration video data. The detection of concrete vibration process video with multiple stages in the actual project shows that the detection error of the system for each state is kept within 1 s, the accuracy is high, which can meet the quality management requirements of the construction process. The system can be quickly deployed to the construction site by using mobile phones, cameras, and other common equipment. It has the advantages of simple frame structure, low hardware requirements, and accurate detection results. In addition, the current system training process is only for the concrete pouring process of Jianquan Power Station, and the training sample can be further expanded in the future to enhance the applicability and accuracy of the system in other engineering applications in order to play a better role.

Nationalist Attitude towards the Main Character in the Film Chǎng Jīn Hú (长津湖) by Huángjiàn Xīn

This research aims to describe the nationalist attitude of the main character Wu Qianli in the film Chang Jin Hu (长津湖) and describe the supporting factors for the nationalist attitude of the character Wu Qianli in the film Chang Jin Hu. This research is motivated by literary works which have many nationalist values. The research method used in this research is descriptive-qualitative. The techniques used in collecting data are downloading films, watching films, screenshotting parts of films that have nationalist values. The results found from this research are that there are 3 attitudes of nationalism, namely having concern for the nation, having a movement to achieve independence, having the value of being willing to sacrifice and there are also supporting factors for morals in the nationalist attitude of the main character Wu Qianli, namely his own actions, conditions or situations and motives. . Therefore, this research has concrete data on the findings of a nationalistic attitude in the character Wu Qianli in the film Chang Jin Hu.

Towards sustainable audit quality: framework based on the UK financial reporting council

PurposeOne of the most emerging areas of audit knowledge is sustainable quality, which can comprehensively cover the development of audit reports inclusiveness for stakeholders. The purpose of this study is to present the sustainable audit quality (SAQ) framework based on the UK Financial Reporting Council.Design/methodology/approachThe paper discusses the main concepts in both spreadsheets and process mining. Using a concrete data set as a running example, the different types of process mining are explained. Where spreadsheets work with numbers, process mining starts from event data with the aim to analyze processes.FindingsThe results of the study showed that the SAQ is more effective based on the two criteria of going concern and disclosure of key audit items. It was also determined that, based on total interpretive structural modeling, the two themes of debt covenants disclosure and assessment of firms’ leverage ratio have a higher priority for SAQ in the Tehran Stock Exchange.Originality/valueThis paper contributes to the discussion on the use of data mining for microarray databases and specifically for studying the present SAQ framework based on the UK Financial Reporting Council. An area that has not been paid attention to by prior research studies, and to the best of the authors’ knowledge, this study is the first research that attempts to provide the SAQ framework.

EVALUASI IMPLEMENTASI TES KEMAMPUAN AGAMA DALAM PENERIMAAN PESERTA DIDIK BARU

The writing of this article is motivated by the policy of the Blitar City government that implements a policy of carrying out a religious ability test for all sixth grade students who will continue to junior high school in the Blitar City area must take a religious ability test. The Blitar City Government considers it necessary to include a religious ability test to complete the quality requirements in the SMP PPDB process because it is considered a means of forming Indonesian human identity who has noble character and has faith and devotion to God Almighty. Blitar. The data in this study were obtained by collecting data through documentation and in-depth interviews with key informants related to the religious ability test policy that carried out by the Blitar City Education Office and Elementary Schools so that accurate and concrete data is obtained. The results of the study, show the process of implementing the policy of religious proficiency testing at the elementary school level in Blitar City in terms of resources, communication, disposition, and bureaucratic structure. 
 Keywords: Policy implementation, religious ability, Junior High School

Wachttijden op de polikliniek kinder- en jeugdpsychiatrie van het UZ Brussel: hoe sneller patiënten identificeren die minder kans hebben op doorstromen naar diagnostisch onderzoek?

Waiting times at the outpatient clinic for child and adolescent psychiatry at the University Hospital of Brussels: which factors are related to waiting times and the risk of being admitted for diagnostics? Long waiting lists are a major problem in mental health care for minors. In Flanders (Belgium), concrete data about waiting lists are limited. Gaining more insight into this problem and exploring possibilities to reduce waiting times are essential. This exploratory study of a retrospective cohort mapped the waiting times and population characteristics of all registered patients in the period of May 1, 2020 to April 30, 2021 who were placed on the waiting list for intake at the outpatient clinic for child and adolescent psychiatry of the University Hospital of Brussels. A logistic regression analysis was conducted to determine factors associated with the likelihood of rejection. Based on the data, a template for an online questionnaire was developed to help identify patients at high risk of being rejected more quickly. Half of the 382 registered patients moved on for further assessment. The median waiting time until intake was 17 weeks. The likelihood of being rejected increased as the parents’ total Strengths and Difficulties Questionnaire (SDQ) score decreased and with current involvement of psychological/psychiatric services. This study confirms the long waiting time for ambulatory multidisciplinary child psychiatric assessment within a university hospital. A significant proportion of the patients does not proceed for further assessment, which makes fast identification of these patients important. A proposal for an online questionnaire was developed for this purpose. Patients with an increased risk of rejection can be screened in the short term. Follow-up research with practical implementation and evaluation of the impact on waiting times is necessary.

RETROSPECTIVE AND SINGLECENTER STUDY WITH THE AIM OF PHARMAECONOMIC ANALYSIS IN PREGNANCY TERMINATIONS AT SAN GIULIANO HOSPITAL OF ASL NAPOLI 2 NORD.

Introduction: Pregnancy termination (IG) is a widely practiced clinical procedure and can be therapeutic (IGT), pharmacological (IGF), or surgical (IGS). The analysis of total costs associated with different methods is useful to highlight advantages and disadvantages for the patient and to enable decision-makers to intervene in a precise manner on company policies supported by concrete data. The relevant legislation governing pregnancy termination is Law 194/78, with specific reference to voluntary termination, permitted within the first 90 days of gestation. This deadline can only be exceeded in special cases, such as severe risk to the mother or fetal malformation. The Law 194/78 aims to ensure that the process of voluntary termination (IVG) is guaranteed, and in this sense, family planning clinics serve as a reference service for many women and couples. The organization of IVG services must be such that there is enough professional figures to provide women with access to voluntary pregnancy termination. From the latest reports published by the Ministry, there is a noticeable decrease in voluntary pregnancy terminations, a trend also observed among foreign women. This is undoubtedly influenced by the increased use of emergency contraception – Levonorgestrel (morning-after pill) and Ulipristal acetate (5-day after pill). On the other hand, due to the more frequent use of pharmacological termination (using Mifepristone+Prostaglandins), there is an increased access to termination within the first 8 weeks of gestation, which represents the deadline for undergoing this variant of the procedure. Materials and Methods: The study is retrospective and uncentered, with an evaluation of data from questionnaires administered to patients who underwent Pregnancy Terminations in the years 2020, 2021, and 2022 at San Giuliano Hospital in Giugliano in Campania (Na), which falls within the territory of the Local Health Authority Napoli 2 Nord.From the analysis of the questionnaires, it is possible to reconstruct sensitive patient data, including place and date of birth, residence, domicile, age, origin, education level, as well as all clinical data related to the patient and pregnancy in general. Surgical pregnancy termination compared to pharmacological termination appears to be less common in all three periods considered. The pharmacological method involves taking an antiprogesterone hormone (Mifepristone) followed by an analogue of prostaglandins (Misoprostol). From a cost analysis perspective, the starting point was the Diagnosis Related Group (DRG) of pharmacological and surgical pregnancy terminations in the Campania Region for each method considered. Results: The laboratory tests which the patient must undergo in the preliminary phase are the same in all abortion (IG) procedures. In the surgical treatment, the patient is admitted to the day hospital, and under anaesthesia, the gestational sac is removed (an invasive procedure with associated risks). In the pharmacological procedure, the patient makes three hospital visits for the administration of two tablets with different active ingredients and at least one follow-up. Conclusions: Although there is a minimal difference between two Diagnosis-Related Groups (DRGs), only 40 euros, the total expenditure is higher in the case of IGF, which prevails significantly in terms of the number of cases compared to IGC. On the other hand, the involvement of professional figures, technical and logistical infrastructure, is inconsistent in IGF, whereas it is much greater in the case of IGC. With IGF, the patient does not undergo any anaesthesia evaluation or surgical intervention, with recovery times estimated to be a few hours and, above all, exposing the patient to fewer risks than the surgical procedure. Additionally, medical and healthcare staff and the operating room structure with all intervention techniques are engaged to a lesser extent in IGF compared to IGC, generating potentially higher company marginality in IGF, especially considering the actual cost of the drugs used. It is worth noting that the DRG falls under regional jurisdiction and may not be the same across the entire national territory. In fact, the Campania Region's case may be different in other regions, resulting in a higher reimbursement amount for IGC treatment compared to IGF.

Psychometric properties of Turkish Orthorexia Nervosa Inventory in a clinical adolescent sample

PurposeOrthorexic tendencies are increasingly prevalent among children and adolescents. This study set out to investigate the reliability and validity of the Turkish version of the Orthorexia Nervosa Inventory (ONI) in a clinical adolescent sample.Methods266 adolescents aged 12–18 years, who applied to the Department of Child and Adolescents Psychiatry were included in the study. Participants completed sociodemographic data form, ONI, Eating Attitude Test, Revised Child Anxiety and Depression Scale-Child Version and ORTO-15.ResultsThe Cronbach’s alpha coefficient for the ONI reached 0.92, indicating very good internal consistency. Total factor scores and Cronbach alpha values for behaviors, impairments, and emotions were found to be 0.84, 0.84, and 0.83, respectively. The CFA performed supported the three-factor structure of the ONI obtained in the first sample. The minimum discrepancy per degree of freedom = 1.89 and the model generally fit well to the structure (RMSEA = 0.058, SRMR = 0.033, CFI = 0.92, TLI = 0.91).DiscussionThis study has shown that the Turkish version of the ONI is a valid and reliable scale for specifying the tendency for Orthorexia Nervosa in a Turkish adolescent population. These findings contribute in several ways to our understanding of orthorexic tendencies and provide a basis for more concrete research data that can be obtained by using the ONI, which is a reliable scale in studies to be conducted among adolescents.Level of evidenceLevel V, descriptive cross-sectional study.

Toleransi dan Dialog sebagai Nilai Etika dalam Al-Qur'an

Tolerance and dialogue as ethical values in the Qur'an are very interesting to study because in social life there is a need for these two elements. The formulation of the problem is broken down into questions, namely a). What is the definition and essence of tolerance, b). What are the limits of tolerance in the Koran, c). What is the relationship between tolerance and dialogue as ethical values in the Koran? This research is included in library research or library research, namely by analyzing themes related to tolerance and dialogue as ethical values in the Koran in order to obtain concrete and reliable data. Tolerance is popularly known as samaha or often called tasamuh which means forgiveness, forgiveness and forgiveness. Tolerance often leads to positive traits, where every human being is given the freedom to choose. For example, in embracing a religion according to one's own beliefs there appears to be an obligation. In the Qur'an there are many verses that talk about tolerance, for example: Q.S. Al-Baqarah: 256, Q.S. AlAn'am: 108, Q.S Yunus: 99, Q.S Al-Mumlahanah: 7-9, Q.S Al-Kafirun: 1-6, then dialogue and tolerance are not the final goal in social life, but a process to continue to the next goal. The involvement of each individual and group in social life is very important. Remembering dialogue and tolerance can take place if individuals and groups can work together and respect each other's differences. In other words, tolerance can be established well by using good dialogue.