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A Systematic Review on Natural Language Processing and Machine Learning Approaches to Improve Requirements Specification in Software Requirements Engineering
This systematic literature review (SLR) examines the current practices, challenges, proposed solutions, and limitations of natural language processing (NLP) and machine learning (ML) approaches in improving requirements specification in software requirements engineering. The review focuses on research conducted in the last five years and includes a selection of papers that discuss the use of NLP and ML techniques for enhancing the accuracy and clarity of requirements, particularly in the context of functional and non-functional requirements. The findings highlight the benefits and challenges associated with the integration of NLP and ML approaches, such as improved classification and identification of requirements. However, it is observed that there is a greater emphasis on non-functional requirements, with a limited representation of research on functional requirements. Comparison of this review and the recent two reviews has been done to observe the differences and highlight the novelty and contribution. The review also identifies limitations, potential bias in assuming that problems related to requirements documentation or specification can be easily resolved through simple changes as well as the need to address the functional requirements. The insights from this SLR contribute to the understanding of the current state of research in this field and provide a foundation for future research directions and practical applications in leveraging NLP and ML approaches to enhance requirements specification in software requirements engineering.  
Implementation of inflection effect of the rumbling alteration using fractal surfaces on the one-of-branch tangency situation in short-syllable
The short-syllable was examined using fractal surface, one of the unit of organization for a sequence of speech sounds techniques. A square-built welter-rough status with continuous surge conversion was confirmed by irradiating a certain amount of fractal surfaces on a timed-syllable. We determined that the scattered signal generated by the short-syllable for a few seconds was formed by several surge perception gestalts as brighten-distinguish realization level (BDRL) of the fractal surface. Welter-rough was organized according to the realization level, and various syllable techniques were used to identify the phenomenon conditions of brighten square-shape-dot. The degree of scatter in monosyllabic words varied according to the level of the square-shaped dot. The maximum average value formed in the welter-rough status was calculated as the result value as a result of the acutely converted output of the BDRL. Surge square-shape-dot rough presented that far alteration value of Su-RG-FA-?AVG with 16.97±9.24 units. Surge convenient alteration value presented Su-RG-CO-?AVG with 8.66±3.08 units. Surge flank alteration value presented Su-RG-SU-?AVG with 2.80±0.74 units. Surge vicinage alteration value presented Su-RG-VI-?AVG with 0.55±0.21 units. BDRLs formed in the welter-rough state expanded the realization level to form a square-shape-dot. We speculated that the surge realization gestalt might be scattered according to the square formed by the welter-through gestalt. By varying the short-syllables with various syllable techniques, we found that BDRL of ability to distinguish between short-syllables required for the realization level emerged. This degree of scattering allowed us to characterize the surge realization gestalt in short-syllables and paved the way for the use of welter-rough level data for the welter realization system
A Study on the Attachment Effect of CFRP Plates to Internal Reinforcements of Curtain Wall Frames Using GFRP
This study is for the development of internal reinforcing materials using fiber-reinforced plastics that can be used for curtain wall frames. The main material of the reinforcement is light and inexpensive GFRP. However, GFRP has characteristics of low elastic modulus and brittle fracture. Therefore, CFRP is attached to supplement the disadvantages. In this study, a flexural experiment was performed to confirm the performance improvement effect of GFRP reinforced with CFRP. The results of the flexural experiment showed that the total flexural stiffness increased by about two times when the carbon fiber reinforced plastic plate was attached compared to the specimen made of a single material of glass fiber reinforced plastic. Also, the pattern of the load-displacement graph was found to reflect the characteristics of the ductile material. However, it was observed that adhesion failure first occurred on the attachment surface before the member yielded. Therefore, it was determined that it was necessary to increase the adhesive strength or set the minimum length in order to prevent poor adhesion when manufacturing actual stiffeners. Therefore, in this study, additional specimens were prepared using the specimen length, adhesive strength, and adhesive rate as variables, and then the experiment was conducted. As a result of the experiment, the maximum load decreased in the long specimen, but the overall stiffness was similar, and adhesive failure did not appear conspicuously before the member was destroyed. In the case of adhesive strength, the case using epoxy was more stable than the specimen using resin, and the maximum load and stiffness were slightly higher when the adhesive width of carbon fiber reinforced plastic was the whole
Research on the Improvement of Service Quality in the Service Industry-Perspectives of Customer Relationship Management
Customer relationship management is an important strategy for the service industry to maintain its competitiveness. By integrating all business indicators including marketing, service process, quality management, after-sales care, brand image, etc., it can gain customer loyalty and provide customized Serve. In the face of such a fierce competitive environment, enterprises must be able to grasp customer needs if they want to continue to make profits. Therefore, they must rely on customer relationship management and emphasize the lifetime value of customers. In order to understand how much the leisure hotel industry attaches importance to customer relationship management, and to effectively summarize the applicable customer relationship management strategies, this article selects the most important indicators of customer relationship management through twelve senior experts in the leisure hotel industry. The ranking of the importance of the indicators is used as a suggested strategy for leisure hotel operators to operate customer relationship management in this study.  
Canva Learning Media to Improve Students’ Learning Achievement in the Merdeka Curriculum
Changes and developments in technology have brought the world of education involved in the utilization of these technologies. In today's digital era, it will never be separated from how efforts to improve the performance of the world of education by utilizing technology and applications. One of the most popular applications in the current disruption era that can be used to support educational operations is Canva. Canva is an online-based application that provides design templates and attractive features. The purpose of this study is to describe learning methods using Canva applications effectively enough to improve student learning achievement in the independent curriculum. This research uses quantitative methods, data obtained through distributing questionnaires. The questionnaire was distributed using the Google Form application. The results of this study explain that the use of Canva as a learning media can explore the creativity side of educators and improve student achievement in the teaching and learning process, create interesting learning materials so that they can arouse student interest in learning and lead to better learning outcomes. The conclusion of this study explains that Canva learning media greatly influences the process and learning outcomes of students in the independent curriculum. The limitations in this study are that researchers have difficulty in deepening the data, the time of data collection which takes a long time, and high subjectivity. This study also recommends that future researchers be able to conduct further and in-depth studies on the utilization of this canva learning media
Methods and Materials for Non-Medical Students to Enhance Medical Literature Reading
Medical English (ME) is of paramount importance both in theory and practice, and the need for professionals with high proficiency in ME has increased due to the COVID-19 pandemic. The EMP (English for Medical Purposes) teaching methods and materials for medical students have been widely discussed, while the learning process of non-medical students is ignored. Non-medical students have various difficulties in reading medical English literature because of their different proficiency of general English and absence of medical knowledge. Considering ME’s utilitarian nature and unique lexicon and syntax, this paper discusses four main approaches to help non-medical students to enhance medical literature reading, including Johns and Davies’ TAVI approach, Divasson’s reading strategies for different types of medical prose, Pavel’s focus on grammar and lexicon, and Hamid Rushwan’s aiding tool of machine translation. Non-medical students are recommended to focus more on the practical information involved in literature than the lexical and syntactic analysis, though it is still meaningful to analyze words and sentences to get used to the common usages of lexicon and syntax. Machine translation also aids reading comprehension for non-medical students. Textbooks, journals, and multimedia vehicles are recommended for non-medical students to acquire medical English and improve their reading proficiency.  
Modeling The Kinetics of Lactic Initiators Using Lactobacillus Delbrueckii Ssp Bulgaricus and Streptococcus Thermophilus in Jora Corn Germinated Grain Hydrolysate
The objective of this research was to determine the growth kinetics of lactic acid starter bacteria such as Lactobacillus delbrueckii ssp bulgaricus and Streptococcus thermophilus, experimentally using the Gompertz and Baranyi-Roberts mathematical models. As part of the method, lactic bacteria were inoculated in a germinated jora maize hydrolyzate at temperatures of 40°C, 41°C and 42°C. The Log10 CFU/ml growth initiators will be finished, for 12 hours with iterations of 1 hour each. The growth parameters and lactic initiated strains were adjusted with the Gompertz and Baranyi-Roberts models using the Curveexpert 1.4 and DMfit programs from Combase, which were validated through the mathematical indices R2, root mean square error (RMSE), bias factor (Bf) and precision (Af). The results showed that increasing temperatures decreased with lag time, while generation time slightly increased growth velocity based on logarithmic levels of the initial population. The adjustment of the kinetic growth curves showed that the initial population (N0) for the Gompertz model at temperatures of 40°C, 41°C and 42°C are 5.28, 5.46 and 5.36 Log CFU/ml, with no significant difference between them (p> 0.05), it will increase the logarithmic growth levels of 2.0, 2.37, 2.99 Log CFU/ml, with µmax speeds of 0.53, 0.49 and 0.45 Log CFU/ml/h and for the Baranyi-Roberts model the initial population at the same temperatures. of study are 5.25, 5.39 and 5.37 Log CFU/ml, with logarithmic levels of 1.93, 2.46, 3.02 Log CFU/ml and µmax growth rates of 0.33, 0.36 and 0.48 Log CFU/ml/h corresponding to Lbd
Experimental Investigation on Performance and Emission Characteristics of a Diesel Engine Fuelled with Linseed Biodiesel Blends
The core object of this study is to examine the suitability of linseeds for biodiesel production. Engine performance and emissions at different proportions of linseed-diesel blends were investigated. Linseed biodiesel was produced through transesterification process and mixed with petro-diesel fuel (D100) at volumetric ratios of 5% (LB5), 10% (LB10), and 15% (LB15). The properties of linseed biodiesel and its blends were measured according to ASTM standards and compared with petro-diesel as a threshold for comparison. The results showed that fuel properties of produced biodiesel are within ASTM permissible limits. Engine test shows lower specific fuel consumption (SFC) for LB5 blend compared to LB10 and LB15 with slightly higher value compared to that of D100. The higher brake thermal efficiency (BTE) was observed for LB15 among the other investigated fuel samples. The heat dissipation rate in all linseed blends was found to have been less than that of D100. Carbon monoxide (CO), carbon dioxide (CO2) and hydrocarbons (HC) emissions of linseed blends are mostly lower in comparison with D100’s. Among all blends, LB5 was found more suitable alternative fuel for diesel engines and can be blended with petro diesel without engine modifications. It can be concluded that cultivation and production of linseed in Iraq is very promising, therefore, it is recommended that proper exploitation and use of linseed for energy production may be encouraged through pertinent agencies of Iraq
Organizational Learning Strategies in The Management of Educational Institutions: A Bibliometric Review in Scopus
The objective of this study was to carry out a review to know the state of the literature on organizational learning strategies in the management of educational institutions in the Scopus database. The methodology used was the bibliometric review, seeking to quantify. On this occasion he came up with the total of subsequent publications in Scopus. Resulting in a total of 14 publications after their identification, they were analyzed using CRAN-R and Bibliometrix. 2017 has been the year with the greatest impact at the total level of citations for studies; it was identified that the most frequent keyword was "organizational learning". Regarding the author with the most frequent use of keywords, it was Lewis MM. The most frequently published source of studies was Springer Science+Business (n=2). The author analysis identifies Fauske JR (TCpY= 1.421) and Eikeland O (TCpY= 0.909), suggesting the importance of both studies in related scientific production. Regarding the local impact indices, the h and G index were equal to 1, while the M index was higher for Herrera-Caballero JM with a value of 0.333. The most frequent affiliation among the studies was the Metropolitan Technological Institute. According to the scientific production by country, it is led by the United States (n=4). Finally, the author with the highest general citation is Sutano EM
The Comprehension of Expository Texts In Students: A Systematic Review Study Between 2017-2022
The present study aims to systematize the scientific literature regarding the comprehension of expository texts in students. The study used the PRISMA method to identify studies in the Scopus, Web of Science (WoS), EBSCO, Scielo and ERIC databases in the period 2017-2022. A total of 1421 records were identified, which went through inclusion and exclusion criteria, where finally 14 included studies remained. These studies sought to answer the research question: What are the most used strategies for the compression of expository texts in students? The data collected based on the systematization of the studies was structured into 2 matrices based on the authors, countries according to the corresponding author, keywords, dimensions, instruments used, approaches, application strategies and the conclusions of the studies in order to find possible methodological or conclusion similarities, verifying strengths or weaknesses that have been presented by studies on the comprehension of expository texts in students. The results analyzed show that Argentina is the country with the highest frequency of publications regarding correspondence between authors. Similarly, among the keywords that stand out we have expository text, reading comprehension, oral comprehension, learning strategies, self-regulation, reading strategies, writing strategies. According to the content studied, it is concluded that, among the most frequent strategies for the compression of expository texts, is the use of paraphrasing, literalness, macro-rules, the memorization technique, paper or digital notes, organizers graphics and digital strategies. In addition, comprehension difficulties were found in the studies due to the complex structure of the expository texts. On the other hand, a strong relationship was identified between self-regulation and comprehension of expository texts, the greater the regulation of student learning, the greater the general comprehension of expository texts.