Semantic Analysis Approach Research Articles

Meneropong Fenomena Flexing dalam al-Qur’an: Analisis Semantik Ayat QS. Al-Ḥadīd: 20

Advancements in information technology and its central feature of global connectivity permit the exchange of information and interactions among diverse cultures and religions. Social media platforms have released the boundaries of geographical stretch and demographic regions that approve the infiltration of particular mindsets, lifestyles, and behavioral tendencies. The use of social media in the public sphere has led to a distinctive social behavior in the form of lifestyle dubbed flexing. The flexing lifestyle is a behavioral phenomenon to exhibit one's wealth and self-achievement to urge society to be wasteful. This study aims to examine the phenomenon of flexing from the perspective of the Qur'an; analyze the term al-ḥayāt al-dunyā in the verse of QS. al-Ḥadīd [57]: 20. This research employs interpretive-qualitative analysis using a semantic analysis approach designed by Syed Muhammad Naquib al-Attas in examining conceptual meanings in the Qur'an. The results of this study indicate that flexing is a nefarious consumption behavior in socio-economic theory refers as emulative consumption. This behavior has become a lifestyle and has impacted the community's mode of living. This lifestyle in the Qur'anic term is called al-ḥayāt al-dunyā, semantically a lowly lifestyle. This concept emerges from a semantic analysis of the phrase al-ḥayāt al-dunyā comprising the meanings la'ib (game), lahw (joking), zīnah (things that are dear to human lust), tafākhur (proud of one's achievements in facade of people), takāṡur (competing in the accumulation of wealth), farḥ (momentary happiness), matā' (temporary pleasure), and ghurūr (something that deceives). In the light of the Qur'an, this behavior is a demeanor mode of living, because it disregards the disobedient from remembering God and the afterlife.

언어네트워크 분석을 활용한 제주 지역화 교과서의 해녀 내용 분석과 시사점

The objective of the present research is to analyse the portrayal of ‘Haenyeo’ in local textbooks in Jeju by employing the semantic network analysis approach and derive meaningful conclusions. The analysed texts were specific textbooks created and delivered to elementary school pupils by Jeju City and the Jeju City Office of Education. The texts that focused on ‘Haenyeo’ in these local textbooks were extracted and then analysed using semantic network analysis. The investigation demonstrated the significance of Jeju local textbooks in incorporating indigenous knowledge, values, and attitudes of Jeju haenyeo into the formal curriculum. Previously, the informal curriculum concealed and transmitted these aspects. However, the Jeju local textbooks failed to recognise the sustainable lifestyle and liberal communitarianism of the Jeju Haenyeo culture, which are important principles for kids to acquire in order to promote a sustainable future. Hence, it is imperative that future Jeju local textbooks enhance and reinforce the sustainable lifestyle and liberal communitarian citizenship of the Haenyeo culture and effectively impart these principles to pupils through the formal curriculum. Moreover, the secondary geography textbooks, which merely mention the term ‘haenyeo’ briefly, should actively adopt the principles of haenyeo culture as outlined in these Jeju local textbooks.

Highly Educated Mother's Perception of Childhood Vaccination Hesitancy in Kazakhstan: A Thematic Analysis.

Vaccine hesitancy among parents directly affects the child's vaccination status since they are the legal decision-makers regarding vaccinating their children. The study aimed to describe the perceptions of highly educated Kazakhstani mothers about childhood vaccination hesitancy. The study utilized a thematic analysis to explore the mothers' perceptions. A sample of 95 participants comprehensively answered the free-text questions in an online questionnaire from January to February 2023. The analysis of the free-text responses followed a semantic thematic analysis approach. The data were coded manually. From the in-depth analysis of the data, 285 initial codes were extracted. The combination of similar meanings and concept codes led to 14 sub-themes and finally yielded four significant themes: misconceptions about childhood vaccination, fear of the effect of vaccine on children, distrust of the healthcare system, and social learning factors. The perceptions of Kazakh mothers about childhood vaccination hesitancy may lead to behaviors of delaying and refusing some or all childhood vaccines. Therefore, motivational and educational strategies can be used by healthcare providers to instill trust in parents about childhood vaccines and their safety and effectiveness.

Dealing with fibromyalgia in the family context: a qualitative description study

Headings purpose: Fibromyalgia (FM) is a chronic, nondegenerative disease with important limitations in patients. Its average global prevalence is 1.78%, and women are more affected than men (3:1). Due to the lack of objective diagnostic tools, it is a complex medical condition that is frequently unseen by patients’ relatives and doctors, which might nonetheless have a noticeable impact on the patient’s entourage. Material and Methods: This qualitative descriptive study aimed to elicit family members’ views on how FM affects their lives. It was conducted in two community health centers (one rural and one urban) from the Sagunto Health Department (Valencia Community, Spain). We included seven focus groups with 41 family members. We analyzed the data gathered with an inductive thematic semantic analysis approach using NVivo 12 software. Results: We identified four major themes: (1) fibromyalgia as a nosological entity or an invention that is always burdensome; (2) children and spouses as caregivers (or not); (3) adverse effects of fibromyalgia on the couple’s sexual life; and (4) harmful consequences of FM on the family economy. The findings showed a negative impact of the disease within the family context. Family members face complex and changing roles and difficulties when living with women with fibromyalgia. Conclusions: Relatives’ better understanding of the disease, greater acceptance of new family roles, and improvement of patients’ work conditions are all interventions that may help reduce the negative impact of FM in the family context.

Analysis of the Meaning of Repetition Language Style in Hermann Hesse's Der Steppenwolf Roman

Repetitive language style in romance literary works is not only used to create aesthetic effects, but also creates emotional and intellectual resonance that enriches the reading experience. This study aims to analyze the meaning of repetition language style in the romance Der Steppenwolf by Hermann Hesse. The research uses descriptive qualitative method with semantic analysis approach. The analysis revealed that anaphora is the most dominant language style used, with the amount of data reaching 40.74%, followed by epistrophe around 31.48%, and polysyndeton 27.78% of data. Meanwhile, the meaning of repetition language style includes strengthening the character's feelings towards the world, providing structure and rhythm to the story, creating nuances and deep emotions. Repetitive language styles in romances can provide new insights into how literary works are constructed and influence readers.

Номинация растений по признаку сходства с другими растениями в финно-пермских языках

Phytonymy, an important part of the nominal vocabulary, is a subject of study that has significance in linguistics and other disciplines such as history and ethnography. This paper examines the nomination of plants by comparing them with other plant names from the vocabulary of Finno-Permic languages. The aim is to describe how the folk names of a plant are nominat-ed based on their similarity to other plants by analyzing common nomination patterns in relat-ed languages and examining various aspects of the nomination process. The data were taken from various lexicographic sources, monographs, and articles. In total, more than a hundred folk phytonyms were considered. These are complex nouns comprising two or three components connected by a subordinating conjunction. The plant name to which the nomination object is compared takes the last place in such phytonyms. The names under consideration were found to be produced mostly based on two main attributes: resemblance to another plant and an additional characteristic such as color, habitat, growth period, taste, or fragrance. Flora vocabulary was studied mainly by descriptive methods, with component and semantic analysis approaches used in some cases. In the Finno-Permic languages, plant nomination based on similarity with another plant is less prevalent compared to nominations based on other features. We believe that it is due to the late origin of this intricate form of nomination that has led to its separate development in each language. Several plants, such as willow, peas, anemone, and horsetail, are particularly prevalent as objects of comparison.

Exploring Information Systems (IS) curricula: a semantic analysis approach

PurposeToday’s in-demand skills may not be needed tomorrow. As companies are adopting a new group of technologies, they are in huge need of information technology (IT) professionals who can fill various IT positions with a mixture of technical and problem-solving skills. This study aims to adopt a sematic analysis approach to explore how the US Information Systems (IS) programs meet the challenges of emerging IT topics.Design/methodology/approachThis study considers the application of a hybrid semantic analysis approach to the analysis of IS higher education programs in the USA. It proposes a semantic analysis framework and a semantic analysis algorithm to analyze and evaluate the context of the IS programs. To be more specific, the study uses digital transformation as a case study to examine the readiness of the IS programs in the USA to meet the challenges of digital transformation. First, this study developed a knowledge pool of 15 principles and 98 keywords from an extensive literature review on digital transformation. Second, this study collects 4,093 IS courses from 315 IS programs in the USA and 493,216 scientific publication records from the Web of Science Core Collection.FindingsUsing the knowledge pool and two collected data sets, the semantic analysis algorithm was implemented to compute a semantic similarity score (DxScore) between an IS course’s context and digital transformation. To present the credibility of the research results of this paper, the state ranking using the similarity scores and the state employment ranking were compared. The research results can be used by IS educators in the future in the process of updating the IS curricula. Regarding IT professionals in the industry, the results can provide insights into the training of their current/future employees.Originality/valueThis study explores the status of the IS programs in the USA by proposing a semantic analysis framework, using digital transformation as a case study to illustrate the application of the proposed semantic analysis framework, and developing a knowledge pool, a corpus and a course information collection.

Using a combined working memory – Semantic feature analysis approach to treat anomia in aphasia: A Pilot Study

IntroductionThe purpose of the study was to pilot a working memory (WM) – and modified Semantic Feature Analysis (SFA) approach to treat word finding deficits in a group of people with aphasia (PwA). Two research questions were posed: 1. Will the group of PwA be able to complete the WM tasks used in the approach? 2. Will the approach improve naming performance in PwA? MethodThree individuals with mild – moderate aphasia participated in this singlesubject multiple baseline treatment design. Pre-treatment assessments of language, and pre- to post-treatment assessments of WM abilities were carried out. The treatment protocol incorporated WM and linguistic tasks in order to improve naming accuracy across two treatment lists. Probes were carried out prior to treatment on each list, and at one-month following completion of treatment. Two outcome measures were obtained: Percent accuracy in completing the WM steps, and treatment effect sizes (Beeson & Robey, 2006). Additionally, modified t-tests (Crawford & Garthwaite, 2012; Crawford & Howell, 1998), were calculated in which post-treatment WM measures were compared against neurotypical control groups to detect any improvements in WM functions. ResultsAll three participants completed the WM steps with a high degree of accuracy. A range of small to large ESs were obtained for all three participants across the two treated lists, while no meaningful ESs were obtained for the control (untreated) list. All three participants demonstrated improved scores across most of the WM measures with significant improvements noted on certain WM assessments. ConclusionsThe findings revealed that the WM – SFA approach can be used successfully in individuals with mild – moderate aphasia. The proposed approach holds promise as feasible intervention designed to remediate anomia in PwA.

THE MEANING OF KHALAQA IN THE QUR’AN

The word in the Qur'an that shows the meaning of creation is khalaqa. Even though these words refer to the meaning of creation, there are different meanings and uses contained in these words. This study uses a descriptive qualitative approach. The type of research used is library research. This research was conducted using data collection methods from the library, either in the form of books, journals, documents, magazines and so on. The data collection method in this study uses documentation. The analysis technique used is the semantic analysis approach developed by Toshihiko Izutsu. The purpose of this study is to reveal the meaning contained in the word khalaqa and reveal the world view of the Qur'an (weltanschauung) on that word. The process carried out in this study is to analyze the basic meaning of the word, then examine the relational meaning of the word khlaqa using syntagmatic and paradigmatic analysis, and then examine the use of the vocabulary of khalaq in the pre-Qur'anic, Qur'anic and post-Qur'anic periods by looking at the interpretations of the classical, medieval and modern periods. The results of the research show that the basic meaning of khalaqa in the Qur'an is to create. Semantically, the word khalaqa is closely related to other words in the Qur’an, such as the words Allah, al-arḍ and sama‘; al-insān; al-mawt and al-ḥayāt; azwaja, male and female, animals, jin, and kulla shay’in. The words that are synonymous with the word khalaqa in the Qur'an are ja‘ala, faṭara, bada‘a, shana‘a, and ṣawara. While the antonyms are the words ahlaka, dammara, amāta, azāla and afna. Second, the word khalaqa after analyzing its synchronic and diachronic meanings refers to creation in which Allah is the object.

AL-JANNAH DALAM AL-QURAN PERSPEKTIF SYEIKH ABD AL-QADIR AL-JAILANI

Abstract This article discusses the meaning of Jannah in the Qur’an using the method descriptive-analysis, the researches examines the meaning of Jannah in etimology and terminology by the worldview of mufassir and Syeikh And’ al-Qadir al-Jailani, using the semantic analysis approach to know the meaning of Jannah from the derivation. The conclusion from this article, Jannah lafadz etimology is paradise, meanwhile termilogy is a paradise creation by God as responding for the kindnees of human beings. This argument agree with the perpective of Syeikh Abd’ al-Qadir al-Jailani he said the paradise is place for human beings in the akhirat. Than Jannah lafadz terminology is suitable, because Jannah is a place for the kindness of human beings in the akhirat, meanwhile creation God a place for the meanness is the hell. Keywords: Jannah, Semantic Method, Syekh ‘Abd al-Qadir al-Jailani

'Mummy told me that I have HIV, that is the only thing she told me': Experiences of HIV status disclosure to children in Masaka Region, Uganda.

In sub-Saharan Africa (SSA), disclosure of HIV status to children remains low. Few studies have examined how children navigate and come to terms with their HIV status. The aim of this study was to explore experiences of children about disclosure of their HIV status. Between October 2020 and July 2021, 18 purposively selected children aged between 12-17 whose HIV status had been disclosed to them by their caregivers or healthcare providers (HCPs) were recruited for this study. We conducted 18 in-depth interviews (IDIs) to collect data for this study. Data were analyzed using the semantic thematic analysis approach. Primary data obtained through IDIs revealed that disclosure of HIV status to children occurred as a one-time event without pre-disclosure preparatory planning or focused post disclosure follow-up counseling irrespective of the discloser. Post disclosure psycho-social experiences elicited mixed responses. Some children experienced insults and belittlement and stigma and discrimination in the family and community for out-of-school children and at school for school-going children. Positive disclosure experiences involved receiving support to improve ART adherence through constantly being reminded to take their medications timely at the workplace, by supervisors, for working children and by teachers, at school for school-going children. This research contributes to knowledge about children' s experiences of being HIV infected and can specifically be used to improve disclosure strategies.

Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis

AbstractMain path analysis is a popular method for extracting the scientific backbone from the citation network of a research domain. Existing approaches ignored the semantic relationships between the citing and cited publications, resulting in several adverse issues, in terms of coherence of main paths and coverage of significant studies. This paper advocated the semantic main path network analysis approach to alleviate these issues based on citation function analysis. A wide variety of SciBERT‐based deep learning models were designed for identifying citation functions. Semantic citation networks were built by either including important citations, for example, extension, motivation, usage and similarity, or excluding incidental citations like background and future work. Semantic main path network was built by merging the top‐K main paths extracted from various time slices of semantic citation network. In addition, a three‐way framework was proposed for the quantitative evaluation of main path analysis results. Both qualitative and quantitative analysis on three research areas of computational linguistics demonstrated that, compared to semantics‐agnostic counterparts, different types of semantic main path networks provide complementary views of scientific knowledge flows. Combining them together, we obtained a more precise and comprehensive picture of domain evolution and uncover more coherent development pathways between scientific ideas.

AgroSupportAnalytics: big data recommender system for agricultural farmer complaints in Egypt

<span>The world’s agricultural needs are growing with the pace of increase in its population. Agricultural farmers play a vital role in our society by helping us in fulfilling our basic food needs. So, we need to support farmers to keep up their great work, even in difficult times such as the coronavirus disease (COVID-19) outbreak, which causes hard regulations like lockdowns, curfews, and social distancing procedures. In this article, we propose the development of a recommender system that assists in giving advice, support, and solutions for the farmers’ agricultural related complaints (or queries). The proposed system is based on the latent semantic analysis (LSA) approach to find the key semantic features of words used in agricultural complaints and their solutions. Further, it proposes to use the support vector machine (SVM) algorithm with Hadoop to classify the large agriculture dataset over Map/Reduce framework. The results show that a semantic-based classification system and filtering methods can improve the recommender system. Our proposed system outperformed the existing interest recommendation models with an accuracy of 87%.</span>

A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media

The rapid spread of the pandemic of coronavirus disease of 2019 (COVID-19) has created an unprecedented, global health disaster. During the outburst period, the paucity of knowledge and research aggravated devastating panic and fears that lead to social stigma and created serious obstacles to contain the disastrous epidemic. We propose a deep learning-based method to detect stigmatized contents on online social network (OSN) platforms in the early stage of COVID-19. Our method performs a semantic-based quantitative analysis to unveil essential spatial-temporal characteristics of COVID-19 stigmatization for timely alerts and risk mitigation. Empirical evaluations are carried out to examine our method’s predictive utilities. The visualization results of the co-occurrence network using Gephi indicate two distinct groups of stigmatized words that pertain to people in Wuhan and their dietary behaviors, respectively. Netizens’ participations and stigmatizations in the Hubei region, where the COVID-19 broke out, are twice ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$p &lt; 0.05$ </tex-math></inline-formula> ) and four ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$p &lt; 0.01$ </tex-math></inline-formula> ) times more frequent and intense than those in other parts of China, respectively. Also, the number of COVID-19 patients is correlated with COVID-19-related stigma significantly (correlation coefficient = 0.838, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$p &lt; 0.01$ </tex-math></inline-formula> ). The responses to individual users’ posts have the power law distribution, while posts by official media appear to attract more responses (e.g., likes, replies, and forward). Our method can help platforms and government agencies manage public health disasters through effective identification and detailed analyses of social stigma on social media.

PRODUCT IMAGE IN THE ENTERPRISE’S MARKETING PRODUCT POLICY

A strong image of the organization and its products indicates unique business abilities (special skills, abilities) that allow you to increase the value of goods and services offered to consumers. Managers of any organization or eventually start building its image, and then the sequence of their actions will be as follows: image measurement, image assessment, development of an image-building program and its implementation. Each organization performs many roles, so its image formed at different levels: socio-cultural, industry, enterprise and product level. Based on this, it is necessary to study the formation of a positive image of Ukrainian enterprises and companies. The purpose of the article is to theoretically substantiate and develop scientific and methodological provisions and practical recommendations for the improvement of the product image in the marketing product policy of the enterprise. The object of research is the brand, LLC “Industrial and commercial company SHABO". The subject of the research is the influence of the image and its perception by consumers, namely: analysis of the alcohol market of Ukraine, the place of “SHABO” in it, determining the impact of the company's image on its profit. The methodological basis are general and special methods: the systematic approach, system-structural analysis, synthesis, comparative analysis, modeling, semantic analysis, and terminological approach. The research results: most of Ukrainian scientists define the brand as an image that arises in the mind of the consumer, is associated with certain advantages of the product (service) or company, and clearly differs from competitors. The image makes a huge contribution to the formation of the image of the brand in the mind of the consumer. The practical significance of the obtained research results is that the conclusions and recommendations are of practical importance and can be used to strengthen product image in the marketing product policy of the LLC "Industrial and commercial company SHABO". Therefore, it is necessary to study the importance of the company's brand, its impact on consumers, the company's profit and the competitiveness of the company's products on the alcohol market of Ukraine and the international market.

Semantics of fugue themes in the context of figurative distinctiveness of J. S. Bach’s cycle “Three Sonatas and Three Partitas for Violin Solo”

The statement of problem. The article is an attempt to comprehend the semantic originality of the text of three Fugues in Bach’s Sonatas for solo violin. Despite the fact that J. S. Bach’s music has long been the basis of the musical culture of mankind, interest in the scientific study of his work does not fade away: new attempts to penetrate the world of the composer’s creative ideas, to discover the unknown secrets of his thoughts appear again and again.For the first time in Ukrainian Bach studies, an attempt is made to explore the similarity of semantics of the Canonical Church texts and the themes of the Fugues for solo violin. The purpose of the article is, by analyzing the themes of three Fugues (G minor, A minor, C Major), to prove the semantic kinship with the Canonical Latin text and, taking this into account, to clarify the symbolic and artistic content of other parts of J. S. Bach’s solo violin Sonatas (Siciliana in B Flat Major, Andante in C Major, Adagio in C Major), and to give some tips for performers when playing fugues. The methods of intonation and semantic analysis, deductive and comparative approaches are used in the study. Discussion and results. Particularly important is the fact that Bach’s Three Sonatas and Three Partitas for solo violin are traditionally treated in musicology as a “meta-cycle”, whose image sphere is linked to the key events of the Gospel: Christmas, Passion and Resurrection of our Lord Jesus Christ (Wolff, 2000, Kogut, 2008; Lebedev, 2016, Pavliy, 1989, etc.). The study reveals high probability of closeness of the semantic content of the fugue theme and the canonical text of Latin prayers, which are the textual basis of the key parts of the Mass: “Christe eleison” – close to the theme of the Fugue in G minor, “Kyrie eleison” – the Fugue in A minor, “Et resurrexit tertia die” – the Fugue in C Major. Since fugues are the main parts of Bach’s Sonatas, this comparison reveals the symbolic meaning of the entire “metacycle” in a different way, more fully, and allows us to comprehend other parts of the Sonatas (“Siciliana” in B-flat Major, Andante in C Major, Adagio in C Major). Taking into account the above mentioned semantic guidelines, the article provides some recommendations for the performance phrasing and articulation of the musical text. Conclusion. The model of perceiving the thematisizm of three Fugues, which (along with the famous “Ciaccona”) are key parts of the cycle, proposed by the author of the article, makes it possible to find new interpretive solutions and greatly facilitates the searchfor high-quality means of expression, helps to choose rightly the tempo, articulation, dynamics, phrasing, strokes; contributing to achievement of textural transparency and completeness of entire form, it determines the figurative and emotional reinterpretation of other parts of the cycle.

MAKNA TRANSFORMASI DIRI MENURUT AMSAL 1:7 DAN YOHANES 3:3-8 SERTA RELEVANSI DALAM KONSEP SELAMET - ORANG JAWA

In this study, the author focuses on the meaning of Proverbs 1:7 and John 3:3-8 to find the Christian concept of transformation. This research is comparative research with a semantic analysis approach. This study concludes that Proverbs 1:7 about the fear of God and knowledge and John 3:3-8 about being born again in water and the Spirit contain meaning about the concept of transformation in Christianity. The effort of self-transformation or self-renewal is the fruit of a mature believer willing to respond to God's grace of love and unity. This gift of renewal is the gift of being a new human being, returning to being a child of God so that he is ready to become a messenger of God. The author finds that these meanings and concepts are relevant (harmonious and mutually enriching understanding) to Javanese beliefs about the concept of salvation as the goal of human life. The Christian transformation has a distinctive manifestation in Javanese culture through the culture of spiritual practice and sapa ingsun. This mysticism culture becomes richer when it is understood as a contemplation, living in the presence of God in daily activities. The fruit of this way of life is manunggaling kawula lan Gusti, in which God wants people who live in His Spirit to reunite with Him - the source of life.

Analisis Semantik atas Kata “Thayyibah” dalam al-Qur’an

Semantic Analysis of the word "Thayyibah" in the Qur'an Semantic analysis is a classical approach to comprehending the meaning of Qur'anic text utilized by Islamic scholars (ulama) in the form of tafsir since Islam's rise centuries ago. This semantic analysis can be utilized to analyze the ethical-religious terms in the Qur'an, which is the word thayyibah. This research aims to reveal the semantical meaning of the word thayyibah in the Qur'an. This research employs the content analysis method and uses a semantic analysis approach related to the study of weltanschauunglehre. This research begins by defining the meaning of semantics and then analyzing the semantical meanings of the word thayyibah with its derivatives. Furthermore, explaining the definitions in several Qur'anic verses. The explanation is based on the elaboration of the Qur'an interpreters (mufassirs). They revealed its subtle meanings and semantical correlations. The result shows that the word thayyibah in the Qur'an has Islamic religious meaning. Usage of the term kalimah thayyibah, interpreted as the word of Unity (Tawhid), gains a central position in the reality of human life. This concept spawns an ethical-religious worldview that perceives religion as the basis for perceiving every human life phenomenon. At the level of individual life, thayyibah means living a good life. In the marital domain, thayyibah means choosing a suitable life partner and giving birth to good offspring. From the social aspect, thayyibah is in the form of good social dealings. Moreover, at the national level, thayyibah creates a safe and secure national state. The word thayyibah undergoes semantical changes within its semantic field, from its original meaning that connotes something good in worldly affairs to something that is much broader, including tauhid and here-after meanings. The Qur'an has reformed the word conceptual structure, its semantic field, vocabulary, and its basic vocabulary. That preceded projects a jahili weltanschauung to the Islamic weltanschauung

Text-based experiment retrieval in genomic databases

With the growing number of genomic data in public repositories, efficient search methodologies have become a basic need to reach the relevant genomic data. However, this need cannot be fulfilled with the current repositories because they offer a limited search option which is a lexical matching of textual descriptions or metadata of the experiments. This technique is insufficient to get the required information needed to detect similarities between experiments within a large data collection. Due to the limitation of the existing repositories, in this study, we develop a text-based experiment retrieval framework by using both lexical and semantic similarity approaches to find similarities between experiments, and their retrieval performance was compared. This study is the first attempt to use text-driven semantic analysis approaches for developing a retrieval framework for experiments. An empirical study was conducted on a large textual description of Arabidopsis microarray experiments from the Gene Expression Omnibus database. In the proposed model, Jaccard similarity was used as a lexical similarity approach; Latent Semantic Analysis, Probabilistic Latent Semantic Analysis and Latent Dirichlet allocation were used as semantic similarity approaches to detect similarities between the textual descriptions of the experiments. According to the experimental results, relevant experiments can be retrieved successfully by text-driven semantic similarity approaches compared with the lexical similarity approach.

Design of an Intervention and Education System for Children with Emotional Disorders Based on Semantic Analysis.

In this paper, a semantic analysis approach to children's emotional disorder intervention and education is thoroughly analyzed and discussed, and a corresponding educational system is designed for application in real life. This paper acquires video data by deploying a common camera acquisition and transforms, annotates, frames, and processes the data with the help of feature engineering methods. In addition, this paper proposes a fine-grained action decomposition strategy to solve the problem of extreme imbalance in the dataset to improve the performance of the model and proposes an iterative sampling data fusion strategy, which aims to integrate and fuse data from multiple sources to make them more effective and further improve the robustness and generalization ability of the model. Since it is difficult for families to improve the emotional management skills of migrant children, and it is also difficult to obtain professional help and support from the community or schools, it is important to take advantage of the professional strengths of social work to provide professional support for migrant children and their families. From the perspective of theoretical research, most of the existing studies focus on individual migrant children and cannot give global guidance from the perspective of the family system. The comparison results show that T-SVR trained using data from all subjects outperforms the inductive method based on individual training of trainees, validating the effectiveness of the proposed adaptive emotion recognition model. Therefore, from the perspective of system integration, it is important to explore social work interventions to improve the emotional management skills of migrant children. The system network structure design is determined according to the actual situation; then from the system requirements, the system is abstracted with the help of UML entity-relationship diagram, and the database table design is completed; so far, the overall system can be divided into independent functional modules, and the boundaries of each module and the participating roles are gradually clarified, and the detailed design within each functional module is illustrated by UML timing diagram and class diagram to clarify the classes used. Finally, the system is tested end-to-end to verify whether the results of the view layer meet the design guidelines, whether the system modules work together properly, and whether the functional development meets the requirements.