Polling System Research Articles

BINGO! Elevating Medical Physiology Tutorials Through Gamification.

We introduced a BINGO game as an active learning strategy for pulmonary, renal, and endocrine physiology, aiming to enhance student engagement and application of physiology knowledge. Each BINGO tutorial utilized a template featuring 50-60 questions aligned with prior learning events, was delivered to 90 second-year medical students, and lasted 50-80 minutes. Iterative improvements, including revealing correct answers and a polling system, were implemented based on student feedback. Sessions required BINGO materials, prizes, and, in one iteration, polling software. Postsession surveys assessed perceptions and engagement via a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree). Thematic analysis of feedback informed iterative improvements while t tests compared responses across sessions. Of the 90 students participating, between 31 and 47 (34%-52%) responded to each postevent survey. Students reported high engagement (average: 4.4) and perceived effectiveness of time spent (average: 4.1) across BINGO games. The games were rated as effective educational tools (average: 4.2) and valuable for applying physiology knowledge (average: 4.4) on diverse topics (average: 4.4). Students expressed a desire for continued BINGO use in future tutorials (average: 4.2). Statistical analysis revealed no significant differences among the three iterations. Students valued iterative changes based on their feedback, such as revealing correct answers after questions. The pulmonary survey led to implementing this change in the renal BINGO tutorial, and the renal survey prompted further improvements in the endocrine tutorial, addressing the need for sufficient explanation of correct answers. Students also appreciated the abundance of practice questions provided.

A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem

A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem

The Israeli queue with a capacitated server: modeling and approximations

The Israeli Queue is a batch service polling system where a single server attends to multiple queues based on seniority. Each arriving customer belongs to one of several classes. Upon arrival, a customer either joins an existing queue for their class or initiates a new queue if they are the first of their class to arrive. Customers from the class with the most senior member are served together as a batch, with the service time remaining constant regardless of the batch size. This service model is found in applications like advanced elevator systems and on-demand shared mobility, where passengers heading to the same destination can share a ride. However, in many real-world scenarios, the vehicle capacities are small and constraining, which calls for a deeper exploration of the Israeli queue with a capacitated server (IQCS). In this paper, we formally define the IQCS and address the challenges of creating a mathematically tractable model to represent it. To approximate the IQCS, we develop a quasi-birth-death process and derive approximations for key performance measures. To validate our approach, we implement a simulation model and use it to compare the IQCS, the approximate model, and the original Israeli Queue. Our results across various scenarios demonstrate the accuracy of the approximate model. Nonetheless, the presence of a remaining gap underscores the ongoing challenge of precisely and efficiently modeling the IQCS, posing an open question for the research community.

Third national surgical consensus conference of the Italian Association of Breast Surgeons (ANISC) on management after neoadjuvant chemotherapy: The difficulty in reaching a consensus

IntroductionNeoadjuvant chemotherapy (NAC) has a profound impact on surgical management of breast cancer. For this reason, the Italian Association of Breast Surgeons (ANISC) promoted the third national Consensus Conference on this subject, open to multidisciplinary specialists. Materials and methodsThe Consensus Conference was held on-line in November 2022, and after an introductory session with five core-team experts, participants were asked to vote on eleven controversial issues, while results were collected in real-time with a polling system. ResultsA total of 164 dedicated specialists from 74 Breast Centers participated. Consensus was reached for only three of the eleven issues, including: 1) the indication to assess the response with Magnetic Resonance Imaging (79 %); 2) the need to re-assess the biological factors of the residual tumor if present (96 %); 3) the possibility of omitting a formal axillary node dissection for cN1 patients if a pathologic Complete Response (pCR) was confirmed with analysis of one or more sentinel lymph nodes (82 %). The majority voted in favor of mapping both the breast and nodal lesions pre-NAC (59 %), and against the omission of sentinel lymph node biopsy in cN0 patients in the case of pathologic or clinical Complete Response (69 %). In cases of cT3/cN1+ tumors with pCR, only 8 % of participants considered appropriate the omission of Post-Mastectomy Radiation Therapy. ConclusionThere is still a wide variability in surgical approaches after NAC in the “real world”. As NAC is increasingly used, multidisciplinary teams should be attuned to conforming their procedures to the rapid advances in this field.

Изменение системы налогообложения крестьян Коми края в XVIII веке

The work deals with the study of changes in the taxation system of peasants of the Komi region in the XVIII century. In place of the household comes the poll system, which has radically changed not only the taxation system, but also the distribution of monetary taxes. The nomenclature of taxes and fees, their dynamics were determined, the specifics of changes in tax policy were revealed, etc. As shown by the study of monetary taxes on the territory of the Komi region (Yarensk, since 1780, and Ust-Sysolsk Uyezds), the peasantry paid poll taxes, quitrent and all kinds of «mundane» monetary taxes in favour of the state. They did not remain unchanged and were constantly increasing. New emergency taxes and fees have been introduced. As a result, it was concluded that the strengthening of the tax press led not only to a deterioration in the economic situation of the peasants, but also activated the population to search for new sources of income.

Social Media-based Polling Data Processing using MapReduce on the Hadoop Framework

The processing of data obtained from a polling system holds significant importance as the results can serve as a reference for addressing community issues. With the escalating use of social media, Indonesia ranks fifth globally in Twitter usage. When dealing with substantial data sets, processing speed becomes a concern, prompting the author to develop a more time-efficient system for handling polling data gathered through social media. Hadoop emerges as a prime candidate for this purpose due to its two main modules: Hadoop Distributed File System (HDFS) for distributed storage and MapReduce for algorithmic computation. Through experimentation using both the wordcount program with MapReduce on Hadoop and the version without MapReduce, it was observed that MapReduce outperforms the latter in terms of data processing speed. On average, employing MapReduce on Hadoop resulted in a 1.3 times faster data processing rate compared to the method without MapReduce.

BiLSTM-based selection and prediction of optimal polling systems for multiple server numbers

BiLSTM-based selection and prediction of optimal polling systems for multiple server numbers

Demodulation and Vibration Signal Systems for Photonic Fiber Optic Pressure Sensor

The article describes the optical elements of signal demodulation and polling systems from photonic pressure sensors on inclined fiber Bragg gratings, which are often used to measure the refractive index (RI). A new design of a photonic fiber-optic Bragg pressure sensor with an inclined lattice has been developed, which is connected to standard multimode fibers with an inclined Bragg lattice connected to a metal diaphragm, which is a deformed inclined cantilever. The light source is polarized using the first polarizer and directed to the photonic crystal fiber in such a way as to excite multimode fibers. In this work, a method was developed for determining the optical elements of the spectral contour length system, which consists of setting the cut-off wavelength and then determining the accompanying refractive index. An experimental study determined the curve of the chain length change in the set. To process random signals, the spatial correlation method is used in combination with an approach to digital images based on the number of lanes and the direction of movement. The experimental results differ from the theoretical ones by about 4%. The developed correlation method reflects frequency as well as randomness, it is used in the photographic process together with the image correction given in this document.

Users’ Perception of the Effectiveness of TOCCA Online Polling System

The goal of this research is to assess users’ perceptions of the Tatak Ormoc Consumer’s Choice Awards Online Polling System. In March 2023, a descriptive research design collected quantitative data from 125 purposive samples of Tatak Ormoc Consumer’s Choice Awards online polling users using a questionnaire. Demographic characteristics, including age, address, and occupation, were considered alongside users’ perceptions. Likert scaling served as a psychometric tool, with ratings from 1 to 5 for system effectiveness, Tatak Ormoc Consumer’s Choice Awards user satisfaction, and overall quality. Descriptive statistics indicate that respondents are predominantly aged 21 to 25, residents of Ormoc City, and students. Users generally provided positive feedback about the system, reported minimal confusion, and received confirmation messages for their votes. The median rating and quartile variation suggest inconsistent responses regarding the perceived effectiveness, satisfaction, and establishment of Tatak Ormoc Consumer’s Choice Awards. The Kruskall-Wallis test reveals that this study has gathered sufficient evidence to conclude that individuals of all ages, addresses, and occupations share similar perceptions of the system’s effectiveness, satisfaction, and excellence.

Gathering Trainee Feedback to Improve Programs With Low Annual ACGME Survey Content Area Compliance: A Pilot Study.

Systematically investigating annual Accreditation Council for Graduate Medical Education (ACGME) Resident/Fellow Survey results by directly gathering trainee feedback could uncover training program problems and clarify misunderstandings as they arise, leading to faster corrective actions and program improvement. The Focus Group Forum (FGF) was created based on the utilization-focused evaluation approach to systematically gather comprehensive, high-quality, actionable trainee feedback on specific annual ACGME survey results and involve trainees in program improvement (Henry Ford Hospital, 2021). Trainees from programs with survey results indicating <80% compliance within several content areas were invited to attend FGF sessions. During FGF sessions, neutral moderators experienced in conducting focus groups and creating psychologically safe spaces and neutral scribes gathered trainee feedback on survey results through structured, iterative discussions and an anonymous electronic polling system. Summaries of FGF findings were created, combined with actual annual ACGME survey data, and used to develop recommended corrective actions and monitoring plans. In 2021, 6 training programs had survey results below the institution's compliance threshold for 4-8 of the 9 content areas. Of the 180 trainees (from the 6 programs) invited to attend an FGF session, 79 (44%) participated. Five key issues were identified: misinterpretation of several survey questions, lack of knowledge of institutional policies and procedures, perceived inability to share feedback with faculty, feelings of being overwhelmed with administrative duties, and lack of sufficient protected time for educational activities and requirements. The authors are developing an FGF process for faculty so that all stakeholders have a voice regarding annual ACGME survey results. They are also improving scheduling processes so that feedback from experienced trainees who are leaving the institution will not be missed and developing longer-term processes for tracking outcomes since time for implementing corrective actions before the next ACGME survey is limited.

Quality of the information flow management at stochastic energy consumption conditions

Modern energy systems are rapidly changing and becoming increasingly complex. This process is facilitated by the growing demand for distributed energy resources, renewable energy sources, and distributed generation. This makes the energy system highly stochastic. An integral part of the concept of smart grids is the production of energy from distributed energy sources. Modernization of the energy network with the help of intelligent technologies allows us to fully take into account the peculiarities of energy consumption. The smart grid paradigm envisions flexible energy demand and storage to cope with the variability of renewable energy sources. A necessary condition for the implementation of demand response is an improved infrastructure, especially information and communication technologies. The paper presents the results of research on the quality of information flow management under conditions of stochastic energy consumption by maintaining a stationary queue of information transmission through the network and preventing overloading of the controlled network segment. The stages of monitoring and assessment of the network state, as well as the methodology of identification of network parameters are presented. According to the results of the analysis of the system of key network parameters and the specifics of their application for managing the quality of network service, it has been established that using the statistical approach one can distinguish between the key parameters of the network. The wireless network has been researched, which allows us to build a quality of service management system by regulating and shaping traffic. It is shown that when using a polling system with feedback on the speed of buffer filling to organize requests in the network, it is possible to maintain a stationary queue with a non-stationary flow of requests. Keywords: wireless network, information delay, stochastic energy consumption.

Application of Polling Scheduling in Mobile Edge Computing

With the Internet of Things (IoT) development, there is an increasing demand for multi-service scheduling for Mobile Edge Computing (MEC). We propose using polling for scheduling in edge computing to accommodate multi-service scheduling methods better. Given the complexity of asymmetric polling systems, we have used an information-theoretic approach to analyse the model. Firstly, we propose an asymmetric two-level scheduling approach with priority based on a polling scheduling approach. Secondly, the mathematical model of the system in the continuous time state is established by using the embedded Markov chain theory and the probability-generating function. By solving for the probability-generating function’s first-order partial and second-order partial derivatives, we calculate the exact expressions of the average queue length, the average polling period, and the average delay with an approximate analysis of periodic query way. Finally, we design a simulation experiment to verify that our derived parameters are correct. Our proposed model can better differentiate priorities in MEC scheduling and meet the needs of IoT multi-service scheduling.

Asymmetry analysis of discrete‐time periodic query double‐queue threshold control system

AbstractAccording to the operation mechanism and characteristics of the asymmetric polling system in token ring network, the physical structure model of the system under the asymmetric double‐queues threshold control strategy is established. Under the condition of defining the system state variables and parameters, the mathematical model describing the asymmetric double‐queues threshold control policy was abstracted. The discrete time Markov chain and an important analytical tool for studying the distribution pattern of random variables were used as the analysis method and means. The performance indexes of the asymmetric double‐queues threshold service control system are studied effectively, the average queuing length and the average cycle length of the system are analyzed precisely, the six second‐order characteristic expressions of the system are analyzed completely, and the average waiting delay equation of the system is analyzed optimally. The results of simulation experiment and theoretical numerical calculation are in good agreement. This study presents a further understanding of the internal law of asymmetry problem in the double‐queues threshold control policy so as to create the study basis and conditions for the research of asymmetric multi‐queues threshold control strategy.

Improving engagement in large undergraduate statistics tutorial classes

We investigate whether introducing the mobile polling system Poll Everywhere had a positive impact on student engagement in large tutorial classes of a second year undergraduate statistics module. In particular, a short quiz facilitated by Poll Everywhere was introduced at the beginning of the tutorial in order to promote active participation. Students’ perceptions of the Poll Everywhere quiz on their tutorial engagement and learning are also explored. We conclude that the Poll Everywhere quiz seemed to have improved student engagement in tutorials and that students believed that it made tutorials engaging and was useful for their learning.

Enhanced User Convenient Campus based E-Rickshaw Polling System Using Flutter

Enhanced User Convenient Campus based E-Rickshaw Polling System Using Flutter

Digital Polling System through Face Recognition and UID Verification

The primary goal is to provide a manual voting system using a camera for facial recognition and OTP generation, as well as an online voting platform that will help reduce fraud in early online voting iterations. For voters who are unable to travel to the voting location (their hometown), we are also introducing a location-free voting mechanism. Here, we provide a system with many levels of authentication, including facial recognition and OTP verification with validation data, to guarantee the device's dependability. Every voter must be recognised and verified against the provided database of registered voters before they are allowed access to the system. The voter can move on to choose their chosen candidate from the panel once the matching face has been matched with the data given.

Workload analysis of a two-queue fluid polling model

AbstractIn this paper, we analyze a two-queue random time-limited Markov-modulated polling model. In the first part of the paper, we investigate the fluid version: fluid arrives at the two queues as two independent flows with deterministic rate. There is a single server that serves both queues at constant speeds. The server spends an exponentially distributed amount of time in each queue. After the completion of such a visit time to one queue, the server instantly switches to the other queue, i.e., there is no switch-over time.For this model, we first derive the Laplace–Stieltjes transform (LST) of the stationary marginal fluid content/workload at each queue. Subsequently, we derive a functional equation for the LST of the two-dimensional workload distribution that leads to a Riemann–Hilbert boundary value problem (BVP). After taking a heavy-traffic limit, and restricting ourselves to the symmetric case, the BVP simplifies and can be solved explicitly.In the second part of the paper, allowing for more general (Lévy) input processes and server switching policies, we investigate the transient process limit of the joint workload in heavy traffic. Again solving a BVP, we determine the stationary distribution of the limiting process. We show that, in the symmetric case, this distribution coincides with our earlier solution of the BVP, implying that in this case the two limits (stationarity and heavy traffic) commute.

Performance analysis of the asymmetric dual-queue periodic query threshold service polling system

Performance analysis of the asymmetric dual-queue periodic query threshold service polling system

Designing a Facial Expression Detection System to Determine the Level of Customer Satisfaction with K-Nearest Neighbor Method

Facial expressions are one of the ways humans communicate to convey one's emotions to their communication partner nonverbally. Therefore, human facial expressions can be used for various purposes, one of which is knowing customer satisfaction. So far, customers of Bank Rakyat Indonesia (BRI) provide feedback on service quality using only a polling system, namely by filling out a criticism and suggestion form and then entering it in a suggestion box which is distinguished between satisfied and dissatisfied. However, such a method is less effective because it can be easily manipulated by customers and customers are often indifferent to the feedback. So that the improvement of service quality tends to be less effective. This research will design a system that can recognize human facial expressions to determine the level of customer satisfaction with input data in the form of video data taken by a webcam camera with the viola-jones method to detect faces and determine facial patterns. Then the facial data will be classified using the K-Nearest Neighbor method to determine the type of facial expression. Determination of the value of k will determine the success rate of facial expression detection. The processed data will be displayed on a liquid crystal display (LCD) and then stored in a MySQL database. The results showed that the accuracy of facial expression detection was 80.77% from 52 facial expression data.

Referendum Poll System A Blockchain Based Solution for Direct Democracy

Referendum Poll System A Blockchain Based Solution for Direct Democracy