Diffusion Model With Gradient Descent Module Guiding Reconstruction for Single-Pixel Imaging by Chen Huang, Qiurong Yan, Jinwei Yan, Yi Li, Xiaolong Luo, Hui Wang

“…Additionally, the strong mapping ability of the diffusion model replaces the traditional proximal operator to accelerate convergence. Full connected sampling and convolutional sampling are proposed as alternative sampling methods to the traditional Gaussian random matrix sampling. …”
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Multi-path transmission strategy and congestion control scheme for multimedia sensor networks by SHA Chao1, SUN Li-juan1, WANG Ru-chuan1, HUANG Hai-ping1

“…A multi-path transmission method for multimedia sensor networks was proposed.By considering the transmission time,residual energy as well as transmission rate of the wireless links,three classes of paths are established with the help of metadata packets.Network congestion rate is reduced as well by adjusting time intervals of sampling.Experiments results show that this method is well performed on packet loss,real-time transmission as well as congestion control.…”
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Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning by Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Shin-Nosuke Ishikawa

“…Notably, ER with only one sample replay outperformed the regularization-based CL methods. …”
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Presenting the Model of Aligning the Individual Development Program (IDP) with the Career Path, Based on the Foundation's data-theorizing Approach by Ali Kafami Ladani, Abdolali Keshtegar, Aleme Keikha

“…After selecting 16 people from industry experts and academic experts and human resource consultants with purposeful sampling method and semi-structured interview, data was collected. …”
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Financial Distress Using the Zmijewski, Grover, and Springate Models at Retail Business in Indonesia by Erni Muti’atul Fitriyah, Karari Budi Prasasti

“…The sampling design of this study uses nonprobability sampling. …”
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Determinants of Healthcare Professionals’ Knowledge on Age-Related Macular Degeneration Risk Factors in Ethiopia by Alemu DS, Munaw MB, Bekele MM, Asmare Kindie C, Ayele FA, Limenih MA

“…Systematic random sampling was used to select study participant. Interviewer administered questionnaire was used to collect data. …”
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The effect of the desensitization and REM techniqueconference by Hussein Faleh Hussein, Adnan Abdul Rahman

“… That mental illnesses are many and numerous, and all of these diseases have their causes and treatment, and among these diseases is the panic disease, as many studies have shown that about (10-20%) of people have experienced panic, which is a sudden bout of phobia that dominates the thinking of the individual as these activate Thoughts when remembering a situation, an accident or a painful experience, which doubles the heartbeat and increases the level of adrenaline in the blood, as the bad thoughts and frustrated feelings strengthen each other, which leads the individual to lose these disturbing thoughts associated with stress and thus panic appears in the form of attacks of sudden physical signs and loss Awareness, however, that there are some treatments that limit these diseases, especially the technique that was reached by chance by a doctor with an incurable disease, which is a method of desensitization to rapid eye movement, as this method is considered one of the effective methods in treating trauma and negative thoughts, as the spread of This technique is widely used and has shown a strong effect with good results for people with mental illness    The current research goal is to know the effect of rapid eye movement desensitization for panic patients, and to achieve this goal the researchers formulated the hypothesis: There are no statistically significant differences between the average ranks of the pre-test scores and the average ranks of the post-test scores for people with panic disease diagnosed by doctors on a sample consisting of (10 (Patients, if the EMDR method was applied to this sample, as the program consisted of ten sessions with three sessions per week with eight steps. …”
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The Online Health Information–Seeking Behaviors of People Who Have Experienced Stroke: Qualitative Interview Study by Brigid Clancy, Billie Bonevski, Coralie English, Ashleigh Guillaumier

“…ObjectiveThis study aims to explore the online health information–seeking behaviors of people who have experienced stroke and any related barriers or navigational needs. MethodsPurposeful sampling was used to recruit participants via email between March and November 2022. …”
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Engaging Victims: The Aceh KKR’s Communication Strategy in Data Acquisition by Zakirah Azman, Zurrafiqah Zurrafiqah, Nur Anisah, Nadia Muharman

“…Informants were selected using purposive sampling, with criteria including: involvement in the statement-taking team, at least one year of experience handling victim testimonies, and active membership in the 2022–2027 KKR period. …”
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Exploring the Impact of Homophily Attitude, Physical, and Social Attractiveness on Purchase Intentions by Honya Ghasemi, Ramin Bashir Khodaparasti, Hooshmand Bagheri Garbollagh

“…The statistical population includes approximately 13,000 students at Urmia University who are users of smart mobile phones and augmented reality applications. To calculate the sample size, Morgan's table was used. According to the size of the population, and based on the random cluster sampling method, 384 people were selected as the sample. …”
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Mental health problems among female sex workers in low- and middle-income countries: A systematic review and meta-analysis. by Tara S Beattie, Boryana Smilenova, Shari Krishnaratne, April Mazzuca

“…This systematic review and meta-analysis aimed to quantify the prevalence of mental health problems among FSWs in LMICs, and to examine associations with common risk factors.<h4>Method and findings</h4>The review protocol was registered with PROSPERO, number CRD42016049179. …”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…Therefore, the study combines wavelet theory, multiresolution analysis and parallelized sampling to propose. A parallelized Markov chain Monte Carlo algorithm based on wavelet transform is developed to effectively reduce the difficulty of multivariate stochastic fluctuation modeling and Bayesian inference by decomposing the original data with high frequency and filtering noise reduction based on the wavelet theory; secondly, an adaptive process and a multi-chain parallel sampling method are introduced to adjust the sample generating mechanism of the multivariate stochastic fluctuation model. …”
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Helicopter Emergency Medical Services in 2017 Kermanshah Earthquake; a Qualitative Study by Ali Sahebi, Zohreh Ghomian, Mohammad Sarvar

“…The data were collected by semi-structured interviews.  The study population consisted of directors who participated in management and transfer of injured people in the earthquake-stricken area of Kermanshah. Sampling was purposeful in the first stage and then by the snowballed method. …”
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Enhancing radiographic interpretation: effects of gamification on medical students' knowledge, skills, and satisfaction — a quasi-experimental study by Zahra Karimian, Mohammad Momeni, Nahid Zarifsanaiey

“…Data analysis was conducted using paired t-tests, independent t-tests, and one-sample t-tests with SPSS version 24. Results The comparison of knowledge scores between post-tests and pre-tests indicated significant differences for both routine method (In-person rotation) (P < 0.001) and the gamification approach (P < 0.001). …”
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A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition by Cancan Yi, Yong Lv, Zhang Dang

“…The results indicate that the proposed method is much more robust to sampling and noise. …”
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Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection by Arief Tri Arsanto, Arif Faizin, Moch lutfi, Zulfatun Nikmatus Saadah

“…SMOTETomek is a method that reduces the number of samples by considering two adjacent data from the minority and majority classes. …”
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Research on bearing fault feature transfer diagnosis based on balanced distribution adaptation under feature fusion by Lulu Wang, Yongqi Li, Chunyi Zhang, Ralph Gerard Sangalang

“…Traditional machine learning methods, which rely on the assumption of independent and identically distributed samples, often experience a significant decline in diagnostic accuracy under such variable conditions. …”
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Dental professional recognition of dental anxiety from a patient perspective: a grounded theory study by Markus Höglund, Inger Wårdh, Shervin Shahnavaz, Carina Berteröf

“…Material and Methods: Semi-structured interviews were conducted with 10 adults who identified themselves as dentally anxious. …”
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Supporting women undergoing radiotherapy for cervical cancer: A pilot intervention by Annah Mosalo, Johanna E. Maree

“…Setting: The Radiation Oncology Department at an academic hospital in the Gauteng province. Methods: An intervention design and pre-test post-test approach was used. …”
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Diagnostic radiographers’ perspectives on dental radiography in selected provinces in South Africa by Keshini Govindasami, Shenuka Singh

“…Setting: This study was conducted in three South African provinces, namely, KwaZulu-Natal, Gauteng and the Western Cape. Methods: This study used a cross-sectional, correlational design, using purposive and snowball sampling techniques. …”
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