Significant Role In Daily Life Research Articles

Investigating Pregnant Women's Attitudes toward Herbal Remedies: A Cross-Sectional Study.

Herbal remedies play a significant role in daily life, regardless of region or ethnicity. While they offer various health benefits, they may also pose risks, including toxicity and undesirable side effects. Pregnant women, one of the most vulnerable populations, frequently use herbal remedies, often without informing their healthcare providers, which can lead to unforeseen consequences for both the mother and the fetus. A total of 590 women participated in an online survey designed to assess demographic factors, awareness of herbal remedies during pregnancy, and the potential impact of these remedies on maternal and fetal health. The survey revealed that 35.8% of the participants used herbal remedies during pregnancy. The most common reasons for their use were beliefs in their safety and family recommendations. Anise (Pimpinella anisum L.) was the most frequently used herb. The findings indicate that pregnant women generally have limited knowledge about herbal remedies and their potential risks. To mitigate this, it is essential to develop and disseminate comprehensive safety and efficacy guidelines. Both physicians and pregnant women should be well-informed to ensure the protection of maternal and fetal health.

Geolinguistic structures of dialect phonology in the German-speaking Alpine region: A dialectometric approach using crowdsourcing data

Abstract The Alpine region stands out in the German-speaking world for its well-preserved traditional dialects, which continue to play a significant role in daily life. However, the vast geographical range of the Alpine region and the limitations imposed by national and regional borders have hindered comprehensive investigations of the entire Alpine area. To overcome these obstacles, this study utilizes crowdsourcing data from the VerbaAlpina project to investigate phonological and morpho-phonological variation in the German-speaking Alpine region. Although the data were collected in a written form and with a focus on lexical variation, it is shown that the data contain detailed phonological information. By using multivariate dialectometric measurements (i.e. factor analysis [FA]) based on 19 (morpho-)phonological variables (comprising 8,582 tokens), the study explores the geolinguistic structures of the German dialects in the Alpine region. The results confirm, on a general level, the validity of the traditionally established dialect classification. However, the findings also reveal previously underrated border effects, in particular for Bavarian dialects along the German-Austrian border, which are argued to be the outcome of divergence processes. Hence, the study highlights the importance of cross-dialectal and cross-national perspectives in understanding dialect variation and emphasizes the value of crowdsourcing data for dialectological research.

Web Application Vulnerability Detection Using Hybrid Algorithm

Abstract: One of the greatest hazards to websites and web portals of private and public entities has been website attacks. In today's digital world, web applications play a significant role in daily life, making their security a difficult challenge. Through the URL links that are delivered to the victims, the attackers hope to obtain private information about the users. We are attempting to plug the gaps left by conventional means to combat the assaults, but these conventional measures are ineffective since attackers are getting better at targeting online apps. Currently, people are looking for software that can consistently and reliably identify web application attacks. Using machine learning, this approach seeks to protect online applications from flaws and many sorts of attacks.

Accurate Locating and Recognizing of ID Card Information

As an important identification certificate for citizens, ID card plays a significant role in daily life and its information has found its way into almost every aspect. However, traditional ways tend to adopt manual input, which is not only time-consuming and labor-intensive, but also expensive as well as inaccuracy. In this paper, we proposed a novel algorithm to locate and recognize ID card information, in which several fresh strategies are presented to rectify image, detect boundary, and locate information, respectively. To solve the problem of image rotating, the image is rectified by searching the best rotating angle that can lead to the maximum corner point projection peak. Meanwhile, the boundary of ID card is detected by finding the best lines in the predicted boundary area based on the deviation between the predicted boundary and the detected boundary, and the position of information is located by incorporating the prior information and the location relation between the key information. Experimental results show that the proposed algorithm can achieve a state-of-the-art effect for recognizing ID card’s information.

Архитектура для непрерывного извлечения знаний из социальных сетей

Nowadays social networks and media play significant role in daily life. All our life in the real world is recorded in the digital space as well. Scientists have enormous potential in researching issues such as social influence ontop news and top news influence on society. Its impact on daily life spans such diverse areas as digital marketing, publicopinion analysis, political monitoring and disaster notification. Any task of processing such a large data stream needs acoherent architecture that will fit the analyzed resource. In the presented work, we set ourselves the task of creating ahighly loaded, fault-tolerant, scalable system for extracting and processing data from various social networks and analyzing data in real time. The solution is architecture in the form of a set of modules. Modules have their own characteristics depending on the work performed, from collecting textual data to direct processing and extraction of knowledge.

Thermoelectric Power Generators: State-of-the-Art, Heat Recovery Method, and Challenges

Electricity plays a significant role in daily life and is the main component of countless applications. Thus, ongoing research is necessary to improve the existing approaches, or find new approaches, to enhancing power generation. The thermoelectric generator (TEG) is among the notable and widespread technologies used to produce electricity, and converts waste energy into electrical energy using the Seebeck effect. Due to the Seebeck effect, temperature change can be turned into electrical energy; hence, a TEG can be applied whenever there is a temperature difference. The present paper presents the theoretical background of the TEG, in addition to a comprehensive review of the TEG and its implementation in various fields. This paper also sheds light on the new technologies of the TEG and their related challenges. Notably, it was found that the TEG is efficient in hybrid heat recovery systems, such as the phase change material (PCM), heat pipe (HP), and proton exchange membrane (PEM), and the efficiency of the TEG has increased due to a set of improvements in the TEG’s materials. Moreover, results show that the TEG technology has been frequently applied in recent years, and all of the investigated papers agree that the TEG is a promising technology in power generation and heat recovery systems.

Creating novel furniture through topology optimization and advanced manufacturing

PurposeFurniture plays a significant role in daily life. Advanced computational and manufacturing technologies provide new opportunities to create novel, high-performance and customized furniture. This paper aims to enhance furniture design and production by developing a new workflow in which computer graphics, topology optimization and advanced manufacturing are integrated to achieve innovative outcomes.Design/methodology/approachWorkflow development is conducted by exploring state-of-the-art computational and manufacturing technologies to improve furniture design and production. Structural design and fabrication using the workflow are implemented.FindingsAn efficient transdisciplinary workflow is developed, in which computer graphics, topology optimization and advanced manufacturing are combined. The workflow consists of the initial design, the optimization of the initial design, the postprocessing of the optimized results and the manufacturing and surface treatment of the physical prototypes. Novel chairs and tables, including flat pack designs, are produced using this workflow. The design and fabrication processes are simple, efficient and low-cost. Both additive manufacturing and subtractive manufacturing are used.Practical implicationsThe research outcomes are directly applicable to the creation of novel furniture, as well as many other structures and devices.Originality/valueA new workflow is developed by taking advantage of the latest topology optimization methods and advanced manufacturing techniques for furniture design and fabrication. Several pieces of innovative furniture are designed and fabricated as examples of the presented workflow.

Perbandingan Kualitas Suara Smartphone Menggunakan Metode Dynamic Time Warping (DTW)

Smartphones are telecommunication devices that play a significant role in daily life. The sound quality produced by a smartphone becomes important for users, considering that poor sound quality might cause misunderstandings in communication. This study provides an illustration of the application of Dynamic Time Warping (DTW) in the comparison of the sound quality produced by a smartphone. In addition to the DTW, the median test and its confidence interval are also used to determine the sound quality of a smartphone. The data employed are primary data in the form of voice recordings of six people that saying five sample sentences, each of which is repeated five times through four different smartphone types that are used as examples. So that the total voice recordings for each smartphone are 150 pieces. This study aims to compare the sound quality produced by those smartphones. The results of this study indicate that although smartphones type 2, 3 and 4 have similar sound quality, the sound quality produced by smartphones type 4 is more stable than other types. Therefore, this study concludes the smartphone type 4 is the smartphone with the most satisfying sound quality. Furthermore, this study showed that the DTW method is effective in analyzing the sound quality of a smartphone.

Spectator‐filter‐spreader‐stifler information propagation model with wake‐up mechanism in social networks

SummaryNowadays, social network platforms play a significant role in daily life, allowing people to hear what is going on around the world without leaving home. The research on the internal transformation of information propagation is critical, which can help restrain the propagation of fake information or rumors and promote the widespread dissemination of effective information. To better understand the transition of states in information propagation, this article considers a new filter state that does not transmit information temporarily and establishes a spectator‐filter‐spreader‐stifler (SFIR) model. Mainly, to explore the dynamics of information propagation, the article introduces two different wake‐up mechanisms including the spontaneous awakening of the filter and the infection of the leader spreaders to the passive stifler, which relies on the proportion of current spreaders as well as the doubt degree on information. Afterward, based on the average field equations built, the nonpropagation equilibrium point E0 and propagation equilibrium point E1 are obtained by theoretical analysis. Moreover, the simulation results reveal that spontaneous wake‐up mechanism accelerates the information propagation while leader spreaders infection increases the scope of information propagation, which can provide theoretical support for controlling information propagation more effectively.

Exploring the role of Biradari in career growth: Evidence from public sector organizations of Islamabad

Biradari (Brotherhood) is one of the most important principles of Pakistani culture. The Biradari (Brotherhood) ties are considered very strong among south Asian communities, especially in Pakistan. It is an important cultural element of Punjabi cultural setup, considered as the strong binder in making group alliances and performs a significant role in daily life. The major objective of this research is to study the crucial role of Biradari relations in organizations and how does it affect the career growth of an individual. Academic researchers have highlighted different indicators and factors which contribute to career growth. Social networks, sifarish, and favoritism are deeply embedded dimensions of Pakistani culture. This research significantly contributes to the literature by giving the holistic view of Biradari and the importance of Biradari based networks in job selection and promotion. The research is conducted in the public sector organization of Islamabad (PIMS). The qualitative research methodology was used for this study and data was collected from fifteen (15) employees through in-depth interviews. The results of the study reveal that Biradari significantly influences the career growth of individual and it is considered as strong support for individual career growth. The results have further highlighted that in today's competitive environment individuals cannot able to achieve a successful career without using his/her networks.

A novel understanding of combustion behavior of coals by cone calorimeter

Coal has played a significant role in daily life. However, the highly effective combustion and reducing combustion-caused hazards of the coal still hold a great challenge. In this work, effect of particle size on combustion behaviors of two kinds of coals, i.e., Tashan weakly caking coal (TS) and Ningxia coking coal (NX), was studied by the cone calorimeter. The results obtained from cone calorimeter testing indicated that the time to ignition and the values of peak of heat release rate of TS and NX coal samples increased with increasing their particle size. TS coal samples showed an increased content of char residues with the increment in the particle size, whereas the char residues of NX were decreased with the increase in the particle size. The total smoke production values of the TS coal samples were increased as the particle size increased, whereas NX coal samples presented an opposite trend in the total smoke production. This phenomenon is caused by the difference in density of char residues during the combustion process of the coal samples. With regard to the volatile gaseous release, it was noted that the highest total carbon monoxide yield of TS was higher than that of NX. In addition, the total carbon dioxide yields of TS and NX coal samples were decreased with the increase in the particle size. This work paves a potential pathway to explore highly effective burning model of coal.

An Analysis of Verbal Humor Found in Sitcom Tetangga Masa Gitu

AbstractNowadays, humor is something that has significant role in daily life. Humor can be found in any aspects in human life, such as in education, literature, and also entertainment. One of various entertainment in Indonesian Television that contain humor is situation comedy. This research pay attention in analyzing verbal humor by using theory of Shade (1996) and analyze the types of verbal humor by using General Theory of Verbal Humor (GTVH). The method used in the research is descriptive method. The result of the study shows that there were 81 verbal humor found in sitcom Tetangga Masa Gitu: Pun (1,2%), Joke (2,4%), Satire (32,2%), Anecdote (1,2%), Irony (34,5%), Sarcasm (8,3%), Tall tale (8,3%), and Wit (110,7%). There were no Riddle, Limerick, Parody and Farce in this object. The verbal humor that found in both object was analyzed by using six parameters of Knowledge Resources (KRs) of GTVH. The six parameters are Script Opposition (SO), Logical Mechanism (LM), Situation (SI), Target (Ta), Narrative Strategy (NS), and Language (LA).Key words: Verbal Humor, Types, GTVH, Six Knowledge Resources

Alarms‐related wind turbine fault detection based on kernel support vector machines

Wind power is playing an increasingly significant role in daily life. However, wind farms are usually far away from cities especially for offshore wind farms, which brought inconvenience for maintenance. Two conventional maintenance strategies, namely corrective maintenance and preventive maintenance, cannot provide condition-based maintenance to identify potential anomalies and predicts turbines' future operation trend. In this study, a model based data-driven condition monitoring method is proposed for fault detection of the wind turbines (WTs) with SCADA data acquired from an operational wind farm. Due to the nature of the alarm signals, the alarm data can be used as an intermedium to link the normal data and fault data. First, KPCA is employed to select principal components (PCs) to retain the dominant information from the original dataset to reduce the computation load for further modelling. Then the selected PCs are processed for normal-abnormal condition classification to extract those abnormal condition data that are classified further into false alarms and true alarms related to the faults. This two-stage classification approach is implemented based on the KSVM algorithm. The results demonstrate that the two-stage fault detection method can identify the normal, alarm and fault conditions of the WTs accurately and effectively.

Peranan Kecerdasan Emosional terhadap Penyesuaian Diri dan Perilaku Delinkuen pada Remaja di Yogyakarta

The term emotional quotion is relatively new in psychology and it is assumed to play significant role in daily life. This research finds out that emotional intelligence can be used as predictor for personal adjustment and behavorial delinquent in adolescent. The finding of this study shows that: first, emotional intelligence and requirements for adolescents in Yogyakarta City are relatively low, while the tendency to behave delinquently is relatively high. Second, there is a positive relationship between emotional intelligence and negative relationships with delinquency behavior. Third, there is no significant difference between male and female teenagers in terms of emotional and individual intelligence, but there are problems in delinquency behavior, women who do higher to behave delinquently if the opposite is with men.

ANTIOXIDANT-VITAMIN C: LUNG FUNCTION; LUNG CANCER

<p>ABSTRACT<br />Non-enzymatic vitamin C (ascorbic acid) plays an important role in the medicinal field and acts as antioxidants use in fruits and vegetable such as<br />lemon, orange, grapes, carrots, tomatoes, grapefruit, beans, broccoli, and mangos. It helps to prevent and stop of various diseases such as lung cancer,<br />asthma, and wheezing and finding an antibronchospastic effect. Other factors such as diet have also been implicated in the development of lung<br />cancer. Despite the extensive research conducted in this area, the relationship between diet and lung cancer is still not clear. Diets high in fat and<br />low in vegetables and fruits may increase the risk of lung cancer and other fact eating of tobacco and smoking of cigarette. Lung tissue damage due<br />to high levels of free radicals in cigarette smoke causes direct (tissue oxidation) and indirect (release of oxidizing agents and enzymes). Vitamin C is<br />necessary for phagocytosis. It plays a significant role in daily life, dietary system like eating food, vegetable and smoking of cigarette. It helps to prevent<br />or stop the damage the lung tissue/or cause lung cancer. The present review studied that application of vitamin C act as antioxidant in lung cancer like<br />diseases such as lung-cancer and role in lung function.<br />Keywords: Review, Non-enzymatic antioxidant (vitamin C), Lung function, Lung diseases.</p>

Municipal Bankruptcy: Pilot Experience from Czech Republic

<p>Local governments are important parts of public sector and they play significant role in daily life of residents. Their role is usually underestimated in comparison with central government tasks and responsibilities. Residents usually realize the real importance of municipal role when municipalities are in financial problems or even bankruptcy and for these reasons they have to restrict their services. This research paper focuses on the issue of financially distressed Czech municipalities and relevant financial areas or indicators in period prior financial problems of municipalities similar to a bankruptcy. This case study is specific due to the fact that this country misses bankruptcy legislation for municipalities and small total number of already existing cases of municipal bankruptcy due to limited time period of their higher autonomy after 1989. Thus the research sample of comparable cases is very limited and this paper serves as a pilot case study. The research for this paper is focused on the financial management of municipalities from the perspective of negative financial situations and the preceding phase to reveal and achieve certain preliminary findings and experience as a pilot lesson for financial management improvements and further exploration and research.</p>

Analysis of object surface cleanness and relative factors in cardiac surgical ICU

Objective To assess the effect of existing cleaning methods applied in cardiac surgical intensive care unit, analyze potential danger and provide evidence to support clean processes in the future. Methods Each patient′s bed unit was defined as a sample and the frequency of hand-to-bed contact and the extent of patient-to-bed contact were assessed.Totals of 15 monitoring surface on each sheet were taken after sterilization within 24 hours and the Relative Light Units(RLU) of the monitoring surface values were compared with Adenosine Triphosphate (ATP) bioluminescence techniques. Results RLU values were more than 500 on bedside table surface, bed block, ECG buttons, micro pump surface, pressurized infusion ball surface and crank bed. RLU values were between 250 and 500 on nurses′ small table surface, breathing machine buttons, rulers and stethoscope surface. RLU values were less than 250 on treatment plate, footboard, pump lines and vacuum tube surface. Conclusions Hand hygiene plays a significant role in daily life. It is important to strengthen routine hand hygiene publicity and education, and monitoring and supervision can be used as an effective measure to improve the surface cleanliness of objects. Key words: ICU; Adenosine triphosphate bioluminescence techniques; Cleanliness

Maximizing Lifetime of Heterogeneous Wireless Sensor Network using Heed Protocol

sensor network (WSN) has significant role in daily life. Many routing protocols have been proposed in recent advances, based on heterogeneity. Achieving the lifetime, deployment of nodes, fault tolerance ,and energy efficiency are the main research goals .In this paper ,we have proposed Hybrid Energy Efficient Distributed protocol (HEED) with heterogeneity to prolong the network lifetime .The significant improvement has been shown using HEED with heterogeneity in comparison with HEED in terms of energy consumption and data transmission to base station (B.S).The impact of heterogeneity of nodes on wireless sensor network(WSN) is studied and finally, the simulation results demonstrate that HEED with heterogeneity achieves longer lifetime and more better performance than HEED protocol.

Perbedaan Bentuk Kejahatan Yang Dikategorikan Sebagai Cyber Crime Dan Cyber Warfare

The reason behind this writing is based by the development of technology which plays significant role in daily life. Computer device and internet have become important thing for country’s life, enable them to conquer, control, and observe every human movement in other world. Computer device and internet have created a new world called cyberspace. Along with the progress of cyberspace, it also develops many lawbreaking actions that based with computer device and internet, some of them are cyber crime and cyber warfare. From this background, the writer elevates two problem from this case. First, what form of crime that can be categorized as cyber crime and cyber warfare? Second, how to protect ourselves from the threat of cyber crime and cyber warfare? The kind of typing that the writer uses in this research is descriptive research (describing an object and taking simple conclusion from it) with secondary data and use statute approach, case approach, and conceptual approach. This kind of technique is collected by library research and the data will be analyzed qualitatively. As for the study result, it consists of: the writer found many different form between cyber crime and cyber warfare. Example of cyber crime are Unauthorized Access to Computer System and Service, Illegal Contents, Data Forgery, Cyber Espionage, Cyber Sabotage and Extortion, Offence Against Intellectual Property, and Infringements of Privacy, while the example of cyber warfare are spionase cyber, vandalism, sabotage, and power grid hacking. In this report, the writer also explain some tips to defend yourself from the threat of cyber crime and cyber warfare.

Historical development of derivatives' underlying assets

The derivative transactions are able to eliminate the unexpected risk arising from the price volatility of the asset. The need for risk elimination relates to the application of derivatives.This paper is focused on derivatives’ underlying assets themselves. With the plain description, supported by progressive summarization, the authors analysed the relevant theoretical sources, dealt with derivatives, their underlying assets and their development in centuries. Starting in the ancient history, 2000 BC, the first non-standard transaction, very close to today’s understanding of derivatives, becomes to be closed between counterparties. During the time, in different kingdoms and emporiums, derivatives started to play a significant role in daily life, helping to reduce the uncertainty of the future. But the real golden era for derivatives started with the so called ‘New derivative markets’ and computer supported trading. They have extended their form from simple tools to most complex structures, without changing their main purpose hedging and risk – reduction.For the main purpose of this paper it is impossible to split the development of derivatives from the very wide extension of underlying assets. The change of these assets was one of the main drivers in derivatives development. Understanding of the dynamic character of these assets helps to understand the world of derivatives.