Performance Evaluation on Resolution Time Prediction Using Machine Learning Techniques

The quality of customer service emphasizes support tickets. An excellent support ticket system qualifies businesses to provide clients with the finest level of customer support. This enables enterprises to guarantee the consistency of quality customer service delivered successfully, ensuring all clients have a good experience regardless of the nature of their inquiry or issue. To further achieve a higher efficiency of resource allocation, this is when the prediction of ticket resolution time comes into place. The advancing technologies, including artificial intelligence (AI) and machine learning (ML), can perform predictions on the duration required to tackle specific problems based on past similar data. ML enables the possibility of automatically classifying tickets, making it possible to anticipate the time resolution for cases. This paper explores various ML techniques widely applied in the Resolution Time Prediction system and investigates the performance of three selected ML techniques via the benchmarking dataset obtained from the UCI Machine Learning Repository. Implementing selected techniques will involve creating a graphical user interface and data visualization to provide insight for data analysis. The best technique will be concluded after performing the ML technique evaluation. The evaluation metrics involved in this step include Root Mean Square Error (RMSE) and Root Mean Absolute Error (MAE). The experimental evaluation shows that the best performance among the selected ML techniques is Random Forest (RF).

Complete Pathologic Response With Pembrolizumab and Enfortumab Vedotin in Urothelial Carcinoma of the Upper Urinary Tract

Urothelial carcinoma of the upper urinary tract (UTUC) presents a significant clinical challenge, often requiring aggressive surgical intervention for optimal management. We present a case of an 84-year-old woman with recurrent high-grade papillary UTUC of the left renal pelvis, refractory to prior endourologic interventions, who underwent neoadjuvant treatment with pembrolizumab and enfortumab vedotin (Pembro/EV) due to contraindications to cisplatin therapy. Following a favorable response to neoadjuvant therapy, the patient underwent laparoscopic left radical nephroureterectomy, achieving a pathologic complete response. We discuss the utility of Pembro/EV in the perioperative management of patients with UTUC, particularly in those ineligible for cisplatin-based therapy. In addition, we highlight the potential role of somatic mutation testing and the integration of novel therapeutic agents such as olaparib in personalized treatment strategies for UTUC. This case underscores the importance of exploring innovative treatment approaches and optimizing patient selection for kidney preservation strategies in the management of UTUC. Further research and clinical trials are warranted to elucidate the full therapeutic potential of Pembro/EV and other emerging therapies in this setting

Understanding Management Marketing in Digitalization and Automation Times

This study discusses some of the latest trends in business marketing governance in the era of Automation by emphasizing what is happening in business today compared to the past. This study is based on published data in the literature and internet-based data from various research articles, newspaper reports, and various website sites that actively discuss marketing trend issues in digital technology days. We understand that the business now and in the past still have the same goal, but what makes the difference is the marketing work system that used to be conventional but has now switched to digital, namely by optimizing internet searches that are based on marketing objectives, all marketing content and all information related to trading electronics became the main discussion to get an understanding of marketing management governance in the era of all-technology. We then studied the electronic data search method carefully and concluded that the point was that we got the findings as an answer to this royal question reported qualitatively. Based on the data exposure and discussion, we can inform the audience that today's business managers must understand how to influence consumers to win marketing by minimizing marketing costs so that companies get profits and their business continuity. Thus, it is hoped that this study will obtain results helpful in developing business marketing science in the digital era compared to traditional marketing techniques

Miniaturization of three-section branch-line coupler using diamond-series stubs microstrip line

A three-section branch-line coupler is miniaturized using diamond-series stubs microstrip lines. The modified coupler is capable of operating from 1.6GHz to 3GHz with a return loss of less than −20 dB, phase imbalance of less than 2.5°, insertion loss and coupling of −4.5±1.5 dB and −2.5±0.5 dB, respectively over the operating range. The bandwidth of the coupler has been extended up to 1.4GHz. In addition, it achieves up to 83.3% size reduction as compared to the conventional three-section coupler. Furthermore, its performance and circuit size are compared with another modified coupler with normal open-stubs microstrip lines. Significantly, this study focuses on analyzing and discussing the effects of diamond structure and number of stubs. Furthermore, the achieved results are superior to the previous studies

Assessment of the macroalgal diversity of Kuwait by using the Germling Emergence Method

ACKNOWLEDGEMENTS The present work formed part of the first author’s PhD thesis 'Macroalgal biodiversity of Kuwait, with special emphasis on the vicinity of desalination plants'. We acknowledge Dr. Hedda Weitz (University of Aberdeen) for providing help in the laboratory and from Ioanna Kosma (University of the Aegean) and Andreas Henkel (Kuwait University) for diving and logistics support during the expedition to Kuwait. We acknowledge the funding received to support this work from the Marine Alliance for Science and Technology (grant reference HR09011) to FCK and Kuwait Foundation for the Advancement of Science (KFAS; grant number PR17125L18) to DA. To Mr. Yusuf Buhadi from the Department of Marine Sciences at Kuwait University for his help in the field work and to Mrs. Nisha V. S. Vadakkhancheril for photographyPeer reviewedPublisher PD

Hand-assisted retroperitoneoscopic versus standard laparoscopic donor nephrectomy: HARP-trial

Contains fulltext : 88436.pdf (publisher's version ) (Open Access)BACKGROUND: Transplantation is the only treatment offering long-term benefit to patients with chronic kidney failure. Live donor nephrectomy is performed on healthy individuals who do not receive direct therapeutic benefit of the procedure themselves. In order to guarantee the donor's safety, it is important to optimise the surgical approach. Recently we demonstrated the benefit of laparoscopic nephrectomy experienced by the donor. However, this method is characterised by higher in hospital costs, longer operating times and it requires a well-trained surgeon. The hand-assisted retroperitoneoscopic technique may be an alternative to a complete laparoscopic, transperitoneal approach. The peritoneum remains intact and the risk of visceral injuries is reduced. Hand-assistance results in a faster procedure and a significantly reduced operating time. The feasibility of this method has been demonstrated recently, but as to date there are no data available advocating the use of one technique above the other. METHODS/DESIGN: The HARP-trial is a multi-centre randomised controlled, single-blind trial. The study compares the hand-assisted retroperitoneoscopic approach with standard laparoscopic donor nephrectomy. The objective is to determine the best approach for live donor nephrectomy to optimise donor's safety and comfort while reducing donation related costs. DISCUSSION: This study will contribute to the evidence on any benefits of hand-assisted retroperitoneoscopic versus standard laparoscopic donor nephrectomy. TRIAL REGISTRATION: Dutch Trial Register NTR1433

Leveraging the Force of Formative Assessment & Feedback for Effective Engineering Education

In recent years, there has been a fundamental shift in engineering education from an emphasis on covering content to a student-centric focus on ensuring the attainment of learning outcomes. To ensure attainment of the educational objectives, engineering education thought leaders have highlighted the importance of the development of effective authentic assessment schemes appropriate for the 21st century, and the alignment of assessment and instructional efforts with the planned learning objectives and outcomes. Our focus in this paper is on the use of formative assessment (also called assessment for learning) for engineering education. With formative assessment, an assessment is made of the current learning level and then pertinent feedback is provided to both the student and to the instructor so that they can take concrete steps to facilitate learning improvement. This is in contrast with the ubiquitous summative feedback (assessment ``of'' learning)---in which the main aim is to grade or rank the student by ascertaining their current learning level without really giving them concrete advice on what to do next to improve learning performance. The use of formative assessment can transform students' performance by empowering them with particularly potent ``self-assessment’’ skills through which students become more aware of their learning and know what is it that they should do next (i.e., they become ``self-directed”.) Formative assessment is equally useful for the teaching staff—by helping them know their impact and tailor the instructional strategy and try to personalize their pedagogy to the individual needs of the students. The main contributions of our paper are that we review the rich literature on formative assessment and effective feedback and synthesize insights that are relevant for engineering education

Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation

In this paper, we have developed an automatic brush-based PV cleaning system to control and synchronize the 3 motors together with a smooth periodic of cleaning while moving it horizontally over the PV surface. The mechanical design involved installing linear guides at the top and bottom of the rail to support the aluminium plate that holds the carrier motors and rotating brush. Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. Results showed that the torque of the cleaning brush motor increases with the increase in load. The obtained torque of the carrier motor was found to be 9.167 Nm (> stall torque, 9.8 Nm) with a full load of 18 brushes. The torque is inversely proportional to the speed but directly proportional to power. The required power to move the 2.93 kg of cleaning system was 19.20 W with 3.015 Nm of torque. The system achieved 86.8% of the dust removal rate from the four cycles of cleaning operation

Prevalence of genetic polymorphisms in the promoter region of the alpha-1 antitrypsin (SERPINA1) gene in chronic liver disease: a case control study

Contains fulltext : 89639.pdf (publisher's version ) (Open Access)BACKGROUND: Alpha-1 antitrypsin (A1AT) deficiency, caused by the Z allele (p.E342K) and S allele (p.E264V) in the SERPINA1 gene, can induce liver and pulmonary disease. Different mechanisms appear to be responsible for the pathogenesis of these divergent disease expressions. The c.-1973T >C polymorphism located in the SERPINA1 promoter region is found more frequent in A1AT deficiency patients with liver disease compared to patients with pulmonary disease, but data are lacking regarding contribution to the development of liver diseases caused by other aetiologies. AIM: To study the prevalence of c.-1973T >C, Z allele and S allele in a cohort of patients with liver disease of various aetiologies compared with healthy controls and to evaluate its effect on disease progression. METHODS: A total of 297 patients with liver disease from various aetiologies and 297 age and gender matched healthy controls were included. The c.-1973T >C polymorphism and Z and S alleles of the SERPINA1 gene were analyzed by real-time PCR. RESULTS: c.-1973T >C was similarly distributed between patients with liver disease of various origins and healthy controls. Furthermore, the distribution of c.-1973T >C was independent from aetiology subgroup. In patients with liver disease mean ages at of onset of liver disease were 44.4, 42.3 and 40.7 years for the c.-1973 T/T, T/C and C/C genotype respectively (NS). S allele heterozygosity was increased in patients with drug induced liver injury (DILI), (OR 4.3; 95%CI 1.1-17.2). CONCLUSION: In our study, c.-1973T >C polymorphism was not a risk factor for liver disease of various aetiologies. In addition, S allele heterozygosity might contribute to the development of DILI