Journal of Prospective Researches

Nanotechnology is one of the latest technological and scientific developments in recent years. It is the second industrial revolution that will contribute to achieving the economic, environmental and social dimensions of sustainable development by reducing industrial waste and then eliminating industrial pollution and improving the efficiency of using available economic resources and areas of application. From this standpoint, the research aimed to define nanotechnology and its nature in the industrial sector in general and the Iraqi sector in particular and to show the extent of the possibility of benefiting from it in supporting and achieving the economic, environmental and social dimensions of sustainable development. At the end of the research, the researchers reached a set of conclusions, the most prominent of which is that nanotechnology is an entry point to achieving sustainable development by reducing the resources consumed.

This paper juxtaposes the challenges and consequences of translation of grammatical tense, namely, unusual and complicated tenses. In this regard, a comparative analysis would be done between the source text and the English translation to determine the frequent errors and their effects on time flow and narrative scheme. Following the theoretical grounding laid down by Antoine Berman's 12 Deforming Tendencies, the analysis shows instance irregularities of tenses, generalization of complex tenses, omission of continuous tenses, and unjustifiable shifts in time. The translation leaned toward creating disturbances of the timeline, ameliorating emotional depth, and distorting original cultural meanings. On the other hand, it points out some of the successful instances where the form preserved some temporal consistency but still acknowledges some significant failures affecting narrative coherence and stylistic fidelity. It recommends that the structural features of tense be retained in both literary translations that do service for the competent transfer of temporal dynamics and cultural meanings; usage of analytical tools for tense discourse; and the heightened consciousness of translators themselves concerning the narrative unfolding of these grammatical tenses.

Recent years have witnessed a radical transformation in the world of business and marketing thanks to the development of artificial intelligence technologies, which have significantly impacted consumer behavior by analyzing massive amounts of data and instantly responding to their changing needs. This research aims to examine the impact of artificial intelligence on consumer behavior by analyzing the role of smart recommendations, data protection, and trust in these technologies. A quantitative approach was used to collect data from University of Nineveh employees and analyze it using Smart PLS 4 to test hypotheses.
The results showed that artificial intelligence positively impacts consumer behavior with an impact factor of 0.641 and a t-value of 9.633, indicating a strong and significant impact. Data protection also showed an impact with a coefficient of 0.393 and a t-value of 3.561, while trust had a lesser impact with a coefficient of 0.262 and a t-value of 2.446.
The study confirms that artificial intelligence enhances the consumer experience, but it requires balancing marketing benefits with privacy protection. The research recommends that companies optimize their marketing strategies to maximize the benefits of these technologies.

This study aims to investigate the impact of interactive artificial intelligence platforms on the quality of daily decisions among individuals, focusing on the role of trust in these platforms as a mediating variable. The study used the descriptive-analytical approach, and data were collected from a sample of (100) university students from various disciplines. The study relied on a questionnaire that included three main axes: level of use, trust in the platform, and quality of daily decisions.
The results of the statistical analysis revealed a high level of use of interactive platforms among sample members, and a strong, statistically significant relationship between use and trust, and between trust and decision quality. The results also showed that the impact of platforms does not vary based on demographic characteristics, reinforcing the notion of a comprehensive impact.
The study concluded that interactive AI platforms are an effective tool in supporting individuals' daily decisions, provided they are used consciously and in a balanced manner. It recommended enhancing users' digital awareness and incorporating educational content on AI into university programs.

Artificial intelligence (AI) technology has grown rapidly and authors can write paragraphs and sentences that accept such acts to human compositions, scholars have been examining the differences between computer-generated works and those written by humans. This review is an analysis and combination of papers that do a comparative study of contemporary literature by human and artificial intelligence. Theoretical techniques such as formal language, structure style, and narration are used in the study to make comparisons between human writing features and AI text patterns. While AI systems can reproduce certain essential aspects of literature in text, they capture a limit in producing new content and comprehensive ideas expressed in language. The problem statement of the research consists of describing scientific intervals in the separation of AI substance from human creativity, as well as philosophical, cultural, and ethical issues of AI in the literary context. Current research has been identified as having suffered from significant weaknesses in matters of complicated literary consistency and literary relations between authors and cultural knowledge. The study concludes that collaborative research methodology and critical self-evaluation are necessary because AI transforms how individuals make and analyze literature.