Pragmatic Methods Research Articles

High-throughput exploration of composition-dependent elasto-plastic and diffusion properties of refractory multi-element Ti-Nb-Zr-W alloys

A combinatorial material synthesis and analysis method can offer a great promise of mapping the elasto-plastic and diffusion properties in refractory multi-element alloys of Ti-Nb-Zr-W system with various compositions. Six groups of Ti-Nb-Zr-W quaternary diffusion couples annealed at 1273 K for 25 h were prepared and measured by electron probe microanalysis and nanoindentation tests. Subsequently, the composition-dependent elasto-plastic properties in a wide composition range of Ti-Nb-Zr-W system were obtained by using two analytical methods including Oliver-Pharr analysis and reverse analysis algorithms. Moreover, elasto-plastic property and interdiffusion coefficient databanks of BCC Ti-Nb-Zr-W system were established by using the machine learning and pragmatic numerical inverse methods, respectively. A hot workability parameter defined by the ratio of Young's modulus to main interdiffusion coefficient was proposed to evaluate the behavior during the hot working. Finally, wear resistance of refractory multi-element alloys was also discussed and verified by the experimental results. The results reveal that Ti-rich refractory multi-element alloys with the low W content have high hardness, good wear resistance, high stress, and excellent processability during the hot working, while the relatively high W content cannot improve the elasto-plastic properties of Ti-rich refractory alloys.

Reducing the Impact of the COVID-19 Pandemic on Retinopathy of Prematurity Screening: Successful Strategies Learnt from a Multi-Center Tele-Medicine Program in India

ABSTRACT Purpose Control of blindness due to retinopathy of prematurity (ROP) requires timely screening and treatment within 48–72 h. Anticipating that the coronavirus disease 2019 (COVID-19) pandemic would disrupt ROP services, we devised strategies '‘on-the'’-go”” to ameliorate this possiblity. We describe the successful outcomes of this approach in preventing infant blindness during the pandemic. Methods Data on the number of preemies recruited, screened and treated in the Karnataka Internet-assisted Diagnosis of Retinopathy of Prematurity (KIDROP) program were collected in a retrospective (2019, interval 1) – prospective (2020, interval 2) manner. We summarize 10 key strategies that were developed as we faced logistic, operational and implementation challenges. These included pragmatic methods of enhancing enrolment, transporting for screening and ensuring timely treatment in the outreach. Results The total number of ROP screening sessions was 20,598 (7,197 new) and 14,371 (5,773 new) during interval 1 and 2 respectively. Of these, 166 (2.3%) and 157 (2.7%) infants required treatment during interval 1 and 2 respectively. All infants needing treatment during the COVID period, were treated on time which was possible due to successful implementation of the ‘on-the-go’ strategies throughout the state of Karnataka. The fiscal equivalent of the blindness prevented during this period is USD 15.6 million. Conclusion The greater decline in the number of ROP screening episodes in neonatal units in government hospitals was because several were converted to ‘COVID only” hospitals. KIDROP’s multi-zonal, decentralized strategy, which uses non-physician-based imaging in a telemedicine network, ensured that essential ROP services continued even during the lockdown.

Evaluating change in a pressured healthcare system: a cross-sectional study of implementation outcomes using routine data indicators and proxies

BackgroundImplementation evaluation should focus on implementation success, guided by theories and frameworks. With high staff vacancies in the health services, it is important to consider pragmatic methods of data collection for implementation evaluation. This paper presents a cross-sectional rapid evaluation of a handheld medical device designed for remote examinations, piloted in Northern England. By using downloaded device data and administrative records mapped to domains from the implementation outcomes framework, this evaluation offers a pragmatic example of assessing implementation success.MethodsThe pilot design was pragmatic: sites volunteered, decided which services to use the device in, and launched when ready. The pilot and evaluation together lasted 1 year. Data was downloaded from the devices, and administrative records for the pilot accessed. Variables were mapped to five of the implementation outcomes, after reviewing with the device manufacturer and pilot team to assess robustness.ResultsN=352 care episodes were recorded using the device with 223 patients. Out of 19 sites ‘signed up’ to the pilot, 5 launched and delivered 10 of 35 proposed projects: a site and project adoption rate of 26 and 29%, respectively. Six sites signed up to an extension period; three had launched and three had not during the original timelines, indicating some sustainability. Feasibility was high, with only one in seven care episodes needing to be repeated due to poor device quality or error (sound/audio/internet). Fidelity of device usage was low for two of the eight available device examinations. Device and staffing costs were high but potential cost savings were attributable to fewer in-person appointments.ConclusionsThrough using device and administrative data, this evaluation minimised burden on busy healthcare staff yet was still guided by an evaluation framework. Five out of the eight implementation outcomes were measured, including sustainability and costs. The findings give insight into implementation challenges, particularly around adoption. For future research, it is recommended to engage with staff to prioritise outcome measurements and to focus on meaningful interpretation of indicators.

Corpus Linguistics in Discourse Analysis: No Bodies and no Practices?

In corpus linguistics, large amounts of text are analysed using quantitative methods, also for discourse-analytical purposes. However, these methods are limited at first glance because their analyses are restricted to the linguistic surface and do not do justice to the complexity of discourse, and culture. This becomes particularly clear from the perspective of practice theory, which sees body, space and time as constitutive factors of actions. I argue that corpus pragmatic methods can very well integrate the concept of practices into the analysis and show this with an example that uses methods of distributive semantics.

Improving care seeking behavior toward cervical cancer screening participation among Gwafan community women, North-Central Nigeria

IntroductionCervical cancer is the fourth most common cancer in women globally and the second most common cancer in low- to middle-income countries, and its screening rate is yet to reach the 70% WHO target. Most interventions that proved effective in improving screening participation in some communities did not achieve the desired behavioral outcome in some settings.AimThis study aimed to evaluate the effectiveness of care-seeking behavior interventions on cervical cancer screening participation.MethodA pragmatic multiphase mixed methods design was adopted for this study, and three phases of the human-centered design process were used for data collection. Deductive thematic analysis was used for qualitative data, while SPSS was used for quantitative data analysis.ResultsThe findings show a significant relationship between participants’ tribes p values (0.03) 0.05 and screening participation. Before the intervention, most (77.4%) were afraid of exposing their private parts; 75.9% were afraid of being diagnosed with cervical cancer; and the majority felt the procedure was embarrassing and painful. Free screening, awareness, and knowledge, offering transport, the use of influencers, and sample collection by a female care provider are among other facilitators to screening. Screening participation improved from 11.2% preintervention to 29.7% postintervention (average mean screening score from 1.890.316 to 1.70000.458). All participants who were screened postintervention said the procedure was not embarrassing or painful and that they were not afraid of the procedure or the screening environment.ConclusionIn conclusion, screening habits in the community were low before intervention, as this may have resulted from women’s feelings and past experiences with screening services. Sociodemographic variables may not directly predict screening participation. Care-seeking behavior interventions have significantly increased screening participation postintervention.

Training Community Therapists in Core Elements of CBT and Family Therapy for Adolescent Externalizing Problems

ABSTRACT Objective This pilot study tested pragmatic methods for training therapists in core techniques of two evidence-based interventions (EBIs) for adolescent externalizing problems: cognitive-behavioral therapy (CBT) or family therapy (FT). Training methods were designed to help therapists accurately self-monitor their use of EBIs and increase delivery of EBIs with current clients. The study compared coder training only versus coder training plus fidelity-focused consultation. Method Therapists (N = 42) from seven behavioral health clinics reported on 65 youth clients; four clinics elected to train in CBT and three in FT. Therapists were randomized to either coder training only, consisting of a 25-week observational coder training course (didactic instruction and mock session coding exercises in core EBI techniques); or coder training plus fidelity-focused consultation, consisting of direct-to-therapist fidelity measurement feedback along with fidelity-focused expert consultation. During the 25 weeks of training, therapists submitted self-report data on EBI use along with companion session audiotapes subsequently coded by observational raters. Results Compared to coder training only, coder training plus fidelity-focused consultation produced superior effects in therapist ability to judge the extensiveness of EBI techniques in online coding sessions, as well as therapist ability to self-rate use of EBI techniques with their own cases. In both conditions, therapists who trained in CBT showed a significant, though modest, increase in real-world delivery of core CBT techniques; this did not occur for FT. Conclusions Pragmatic training and consultation methods show promise as viable and effective options for enhancing EBI fidelity monitoring and, for CBT, increasing EBI delivery.

Pharmaceuticals in Water: Risks to Aquatic Life and Remediation Strategies

The presence of pharmaceuticals in the aquatic environment presents a challenge to modern science. The most significant impact this can induce is the emergence of antibiotic resistance, which can lead to a global health emergency. It is important to note that the impact of pharmaceuticals in the aquatic environment is not limited to antibiotic resistance. Pharmaceuticals can also affect the behaviour and reproductive systems of aquatic organisms, with cascading effects on entire ecosystems. Numerous studies have reported the emergence of pharmaceuticals due to the uncontrolled disposal of polluted domestic, agricultural, and industrial wastewater in water bodies. This work discusses the potential of pharmaceuticals that on one hand are highly important for mankind, yet their non-judicious usage and disposal induce equally intriguing and problematic conditions to the health of aquatic systems. Pathways through which pharmaceutics can make their way into water bodies are discussed. Furthermore, the risk imposed by pharmaceuticals on aquatic life is also elaborated. The possible and pragmatic remediation methods through which pharmaceutical products can be treated are also discussed. Emphasis is placed on the potential of phytoremediation and advanced oxidative process, and the factors affecting the efficacy of these remediation methods are discussed.

Risk Identification in Perinatal Health Care Settings via Technology-Based Recruitment Methods: Comparative Study.

Digital screening and intervention tools have shown promise in the identification and reduction of substance use in health care settings. However, research in this area is impeded by challenges in integrating recruitment efforts into ongoing clinical workflows or staffing multiple study clinics with full-time research assistants, as well as by the underreporting of substance use. The aim of the study is to evaluate pragmatic methods for facilitating study recruitment in health care settings by examining recruitment rates and participant characteristics using in-person-based versus flyer approaches. This study compared recruitment rates at a Women's Health clinic in the Midwest under 2 different recruitment strategies: in person versus via a flyer with a QR code. We also examined the disclosure of substance use and risk screener positivity for the 2 strategies. We also obtained information about the current use of technology and willingness to use it for study participation. A greater percentage of patients recruited in person participated than those recruited via flyers (57/63, 91% vs 64/377, 17%). However, the final number recruited in each group was roughly equal (n=57 vs n=64). Additionally, participants recruited via flyers were more likely to screen positive for alcohol use risk on the Tolerance, Annoyed, Cut Down, Eye-Opener alcohol screen than those recruited at the clinic (24/64, 38% vs 11/57, 19%; χ21=4.9; P=.03). Participants recruited via flyers were also more likely to screen positive for drug use risk on the Wayne Indirect Drug Use Screener than those recruited at the clinic (20/64, 31% vs 9/57, 16%; χ21=4.0; P=.05). Furthermore, of the 121 pregnant women, 117 (96.7%) reported owning a smartphone, 111 (91.7%) had an SMS text message plan on their phone, and 94 (77.7%) reported being willing to receive SMS text messages or participate in a study if sent a link to their phone. The distribution of flyers with a QR code by medical staff appears to be an efficient and cost-effective method of recruitment that also facilitates disclosure while reducing the impact on clinic workflows. This method of recruitment can be useful for data collection at multiple locations and lead to larger samples across and between health systems. Participant recruitment via technology in perinatal health care appears to facilitate disclosure, particularly when participants can learn about the research and complete screening using their own device at a place and time convenient for them. Pregnant women in an urban Midwestern hospital had access to and were comfortable using technology.

Integrating pragmatic and implementation science randomized clinical trial approaches: a PRagmatic Explanatory Continuum Indicator Summary-2 (PRECIS-2) analysis

BackgroundOver the past two decades, pragmatic and implementation science clinical trial research methods have advanced substantially. Pragmatic and implementation studies have natural areas of overlap, particularly relating to the goal of using clinical trial data to leverage health care system policy changes. Few investigations have addressed pragmatic and implementation science randomized trial methods development while also considering policy impact.MethodsThe investigation used the PRagmatic Explanatory Continuum Indicator Summary-2 (PRECIS-2) and PRECIS-2-Provider Strategies (PRECIS-2-PS) tools to evaluate the design of two multisite randomized clinical trials that targeted patient-level effectiveness outcomes, provider-level practice changes and health care system policy. Seven raters received PRECIS-2 training and applied the tools in the coding of the two trials. Descriptive statistics were produced for both trials, and PRECIS-2 wheel diagrams were constructed. Interrater agreement was assessed with the Intraclass Correlation (ICC) and Kappa statistics. The Rapid Assessment Procedure Informed Clinical Ethnography (RAPICE) qualitative approach was applied to understanding integrative themes derived from the PRECIS-2 ratings and an end-of-study policy summit.ResultsThe ICCs for the composite ratings across the patient and provider-focused PRECIS-2 domains ranged from 0.77 to 0.87, and the Kappa values ranged from 0.25 to 0.37, reflecting overall fair-to-good interrater agreement for both trials. All four PRECIS-2 wheels were rated more pragmatic than explanatory, with composite mean and median scores ≥ 4. Across trials, the primary intent-to-treat analysis domain was consistently rated most pragmatic (mean = 5.0, SD = 0), while the follow-up/data collection domain was rated most explanatory (mean range = 3.14–3.43, SD range = 0.49–0.69). RAPICE field notes identified themes related to potential PRECIS-2 training improvements, as well as policy themes related to using trial data to inform US trauma care system practice change; the policy themes were not captured by the PRECIS-2 ratings.ConclusionsThe investigation documents that the PRECIS-2 and PRECIS-2-PS can be simultaneously used to feasibly and reliably characterize clinical trials with patient and provider-level targets. The integration of pragmatic and implementation science clinical trial research methods can be furthered by using common metrics such as the PRECIS-2 and PRECIS-2-PS. Future study could focus on clinical trial policy research methods development.Trial registrationDO-SBIS ClinicalTrials.gov NCT00607620. registered on January 29, 2008. TSOS ClinicalTrials.gov NCT02655354, registered on July 27, 2015.

Preliminary Attainability Assessment of Real-World Data for Answering Major Clinical Research Questions in Breast Cancer Brain Metastasis: Framework Development and Validation Study.

In recent decades, real-world evidence (RWE) in oncology has rapidly gained traction for its potential to answer clinical questions that cannot be directly addressed by randomized clinical trials. Integrating real-world data (RWD) into clinical research promises to contribute to more sustainable research designs, including extension, augmentation, enrichment, and pragmatic designs. Nevertheless, clinical research using RWD is still limited because of concerns regarding the shortage of best practices for extracting, harmonizing, and analyzing RWD. In particular, pragmatic screening methods to determine whether the content of a data source is sufficient to answer the research questions before conducting the research with RWD have not yet been established. We examined the PAR (Preliminary Attainability Assessment of Real-World Data) framework and assessed its utility in breast cancer brain metastasis (BCBM), which has an unmet medical need for data attainability screening at the preliminary step of observational studies that use RWD. The PAR framework was proposed to assess data attainability from a particular data source during the early research process. The PAR framework has four sequential stages, starting with clinical question clarification: (1) operational definition of variables, (2) data matching (structural/semantic), (3) data screening and extraction, and (4) data attainability diagramming. We identified 5 clinical questions to be used for PAR framework evaluation through interviews and validated them with a survey of breast cancer experts. We used the Samsung Medical Center Breast Cancer Registry, a hospital-based real-time registry implemented in March 2021, leveraging the institution's anonymized and deidentified clinical data warehouse platform. The number of breast cancer patients in the registry was 45,129; it covered the period from June 1995 to December 2021. The registry consists of 24 base data marts that represent disease-specific breast cancer characteristics and care pathways. The outcomes included screening results of the clinical questions via the PAR framework and a procedural diagram of data attainability for each research question. Data attainability was tested for study feasibility according to the PAR framework with 5 clinical questions for BCBM. We obtained data sets that were sufficient to conduct studies with 4 of 5 clinical questions. The research questions stratified into 3 types when we developed data fields for clearly defined research variables. In the first, only 1 question could be answered using direct data variables. In the second, the other 3 questions required surrogate definitions that combined data variables. In the third, the question turned out to be not feasible for conducting further analysis. The adoption of the PAR framework was associated with more efficient preliminary clinical research using RWD from BCBM. Furthermore, this framework helped accelerate RWE generation through clinical research by enhancing transparency and reproducibility and lowering the entry barrier for clinical researchers.

Research objectives and general considerations for pragmatic clinical trials of pain treatments: IMMPACT statement.

Many questions regarding the clinical management of people experiencing pain and related health policy decision-making may best be answered by pragmatic controlled trials. To generate clinically relevant and widely applicable findings, such trials aim to reproduce elements of routine clinical care or are embedded within clinical workflows. In contrast with traditional efficacy trials, pragmatic trials are intended to address a broader set of external validity questions critical for stakeholders (clinicians, healthcare leaders, policymakers, insurers, and patients) in considering the adoption and use of evidence-based treatments in daily clinical care. This article summarizes methodological considerations for pragmatic trials, mainly concerning methods of fundamental importance to the internal validity of trials. The relationship between these methods and common pragmatic trials methods and goals is considered, recognizing that the resulting trial designs are highly dependent on the specific research question under investigation. The basis of this statement was an Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) systematic review of methods and a consensus meeting. The meeting was organized by the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION) public-private partnership. The consensus process was informed by expert presentations, panel and consensus discussions, and a preparatory systematic review. In the context of pragmatic trials of pain treatments, we present fundamental considerations for the planning phase of pragmatic trials, including the specification of trial objectives, the selection of adequate designs, and methods to enhance internal validity while maintaining the ability to answer pragmatic research questions.

Quality by Design Approach- To Analytical Method Validation

The principles of Quality by Design must be applied to ensure the development of pragmatic and systematic methods while managing the risks associated with analytical methods. Quality by Design is a scientific way to develop easy and robust analytical techniques for critical analysis.

Tindak Tutur Lokusi dalam Film Cinta Laki-Laki Biasa Karya Asma Nadia

The purpose of this research is to find out the form of locutionary speech acts of locutionary in the film "Ordinary Male Love" (2016)". The researcher used a qualitative descriptive research type in this study. The dialogues of the characters in the film "Ordinary Male Love" (2016)" as a data source in this research. The film used in this study is the film Cinta Men Ordinary which is closely related to the culture and habits of society in Indonesia. In collecting data, the researchers used the technique of free-involved viewing and notes in this study as instruments in this study, then validated by expert judgment or other lecturers. The method used to analyze or as an analytical knife in this study uses pragmatic methods. Based on the results of data analysis found by researchers, it can be concluded into two. First, the forms of locutionary speech acts found in the film Cinta Men Ordinary are declarative, imperative, and interrogative

THE DYNAMICS OF NEIGHBORHOOD SPEAKING: A SOCIOPRAGMATIC STUDY

Neighboring life is a type of social interaction that shows many symptoms of social conflict. The social conflict appears in various illocutionary speech acts found in neighboring social interactions. This study examines illocutionary speech acts using listening and speaking techniques in collecting data and translational and pragmatic equivalent methods in processing data. Data was obtained naturally through mutual interaction with neighbors. This study shows variations and rich pragmatic features in neighborly interactions. All speech acts have hidden meanings that deserve to be studied. The realization of illocutionary speech acts in this study is manifested in five ways: directive speech acts of ordering, expressive speech acts of mocking, commissive speech acts of offering, assertive speech acts of boasting, and declarative speech acts of confirming. In contrast, the speaking strategy obtained from the research data is divided into four parts: speaking frankly without further ado, speaking candidly with positive Politeness, speaking candidly with negative Politeness, and the strategy of vaguely speaking. - vague. Furthermore, the factors that influence the realization of speech acts are speech situation, age, kinship, gender, social status, and social relations. This research has implications for kinship relations between neighbors. Understanding speech acts can prevent social conflict and create closeness between neighbors.

Mining Project Failure Indicators From Big Data Using Machine Learning Mixed Methods

The literature revealed approximately 50% of IT-related projects around the world fail, which must frustrate a sponsor or decision maker since their ability to forecast success is statistically about the same as guessing with a random coin toss. Nonetheless, some project success/failure factors have been identified, but often the effect sizes were statistically negligible. A pragmatic mixed methods recursive approach was applied, using structured programming, machine learning (ML), and statistical software to mine a large data source for probable project success/failure indicators. Seven feature indicators were detected from ML, producing an accuracy of 79.9%, a recall rate of 81%, an F1 score of 0.798, and a ROCa of 0.849. A post-hoc regression model confirmed three indicators were significant with a 27% effect size. The contributions made to the body of knowledge included: A conceptual model comparing ML methods by artificial intelligence capability and research decision making goal, a mixed methods recursive pragmatic research design, application of the random forest ML technique with post hoc statistical methods, and a preliminary list of IT project failure indicators analyzed from big data.

Development of eConsult reflective learning tools for healthcare providers: a pragmatic mixed methods approach

BackgroundElectronic consultation (eConsult) programs are crucial components of modern healthcare that facilitate communication between primary care providers (PCPs) and specialists. eConsults between PCPs and specialists. They also provide a unique opportunity to use real-world patient scenarios for reflective learning as part of professional development. However, tools that guide and document learning from eConsults are limited. The purpose of this study was to develop and pilot two eConsult reflective learning tools (RLTs), one for PCPs and one for specialists, for those participating in eConsults.MethodsWe performed a four-phase pragmatic mixed methods study recruiting PCPs and specialists from two public health systems located in two countries: eConsult BASE in Canada and San Francisco Health Network eConsult in the United States. In phase 1, subject matter experts developed preliminary RLTs for PCPs and specialists. During phase 2, a Delphi survey among 20 PCPs and 16 specialists led to consensus on items for each RLT. In phase 3, we conducted cognitive interviews with three PCPs and five specialists as they applied the RLTs on previously completed consults. In phase 4, we piloted the RLTs with eConsult users.ResultsThe RLTs were perceived to elicit critical reflection among participants regarding their knowledge and practice habits and could be used for quality improvement and continuing professional development.ConclusionPCPs and specialists alike perceived that eConsult systems provided opportunities for self-directed learning wherein they were motivated to investigate topics further through the course of eConsult exchanges. We recommend the RLTs be subject to further evaluation through implementation studies at other sites.

Comparison of weight captured via electronic health record and cellular scales to the gold-standard clinical method.

Obtaining body weights remotely could improve feasibility of pragmatic trials. This investigation examined whether weights collected via cellular scale or electronic health record (EHR) correspond to gold standard in-person study weights. The agreement of paired weight measurements from cellular scales were compared to study scales from a weight loss intervention and EHR-collected weights were compared to study scales from a weight loss maintenance intervention. Differential weight change estimates between intervention and control groups using both pragmatic methods were compared to study collected weight. In the Log2Lose feasibility weight loss trial, in-person weights were collected bi-weekly and compared to weights collected via cellular scales throughout the study period. In the MAINTAIN weight loss maintenance trial, in-person weights were collected at baseline, 14, 26, 42 and 56weeks. All available weights from the EHR during the study period were obtained. On average, in Log2Lose cellular scale weights were 0.6 kg (95% CI: -2.9, 2.2) lower than in-person weights; in MAINTAIN, EHR weights were 2.8kg (SE: -0.5, 6.0) higher than in-person weights. Estimated weight change using pragmatic methods and study scales in both studies were in the same direction and of similar magnitude. Both methods can be used as cost-effective and real-world surrogates within a tolerable variability for the gold-standard. NCT02691260; NCT01357551.

Energy Demand Forecasting and Optimizing Electric Systems for Developing Countries

Currently, developing countries are experiencing a massive shift toward industrialization. Developing countries lack the technical sophistication and infrastructure to encourage low-carbon and sustainable economic growth because of weak public awareness, regulations, and technology. Developing countries must plan the industrialization process for maximum energy efficiency of production, thereby reducing their CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions significantly by increasing energy efficiency. This paper attempts to review the current pragmatic methods for forecasting the future load demands from minutes to years ahead in developing countries, following the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P). Our primary focus is to provide an optimal forecasting model selection strategy for potential researchers and forecasters. Based on the strengths and weaknesses of the different models, we will discuss the most suitable methods to tailor them to multiple applications and scenarios of load forecasting. The comparison elements are Forecast horizons, Spatio-temporal resolutions, factors affecting the load, different dimensional reduction techniques, model complexity analysis, and the MAPE for error analysis. From the results, We have found ANN hybridized with meta-heuristic techniques to be superior in most of the analysis cases. ANN’s ability to handle non-linear data, flexibility, and robustness is why. Consumption data aggregated at the national level can capture trends efficiently. Meteorological and calendar features influence short-term forecasting extensively, whereas economic factors influence long-term load patterns. Finally, we have identified the trends and research gaps from the existing literature, presenting relevant technical recommendations for improvement.

IMPOLITENESS UTTERANCES IN “22 JUMP STREET” MOVIE : PRAGMATICS APPROACH

This research aimed to identify the impoliteness strategies that is employed in 22 Jump Street. The researcher used the theory of impoliteness strategies developed by Culpeper. In this research, the researchers used descriptive qualitative analysis to examine impoliteness methods in this study. The movie "22 Jump Street" is the subject of the study. Data for this study were collected using an observational methodology and a non-participatory strategy. The data was analyzed using pragmatic identification methods once it had been processed. As a result of the research, the movie contained 15 utterances. Those utterances contained the use impoliteness strategies, including 5 bald on record impoliteness, 4 positive impoliteness, 2 negative impoliteness, 3 mock politeness or sarcasm, and 1 withhold politeness.

The Shift toward Fusha (Classical Arabic Language) Reconstruction of the Concept

This research aims to re-formulate the concept of conversion to classical Arabic, in light of the challenges it faces in the era of globalization, and the failure of attempts to impose fusha in the street and in schools and universities, By trying to uncover pragmatic methods, that succeed in bringing life back to Standard Arabic in different sectors, But with a less perfect outlook, more closer to the user's need, it suggests various ways to achieve this. In this context, the research seeks to answer questions such as: Does speaking “ fusha” represent a priority issue in light of the rampant weakness in public education? can the project of “ shifting to fusha” in the street and in the classroom succeed? What is the purpose of shifting to fusha? How does Fusha contribute to preserving and strengthening Arab culture? Who should undertake this task? What are the roles of the different parties to achieve the required goal?