Cocaine and stimulants, the challenge of self-regulation in a harm reduction perspective by Grazia Zuffa, Susanna Ronconi

“…<p>A significant body of research on cocaine users recruited outside the “captive” populations (i.e. studies from samples of users who have not been enrolled through drug addiction services) has been carried out in many European countries and outside Europe. …”
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Effect of turbinate reduction surgery on allergic rhinitis symptoms in hospitalized patients by Yusuf Kusuma Dewa, Andriana Tjitria Widi Wardani Sardjana, Moch. Agus Suprijono

“…This study aimed to evaluate the effectiveness of turbinate reduction surgery in alleviating allergic rhinitis symptoms. …”
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Enterprise power emission reduction technology based on the LSTM–SVM model by Li Kun, Su Meng, Liu Qiang, Zhang Bin

“…Support vector machines are used to optimize the model’s large sample requirements, and the two models are integrated to improve accuracy. …”
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Assessing pharmacists’ knowledge, attitudes, and practices on medicines waste reduction in the UAE by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Mena Al-Ani, Mustafa Aal Yaseen, Hoor Hamidoglu, Heba M. Mohamed, Ammar Ali Saleh Jaber

“…This study aims to assess pharmacists’ knowledge, attitudes, and practices regarding this issue, recognizing the role pharmacies can play as local collection points for the safe disposal of unwanted medicationsMethods A cross-sectional study design including a random sample of 603 pharmacists responded to the questionnaire via face-to-face interview. …”
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Reductions in renin‐angiotensin system inhibitors following hospitalization for heart failure by Parag Goyal, Ligong Chen, Jennifer D. Lau, Robert S. Rosenson, Emily B. Levitan

“…These findings indicate that RASI dose‐reduction is preferred over RASI discontinuation in selected situations where RASI reduction is needed.…”
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Reduction of death anxiety in patients with advanced cancer in short-term psychotherapy by Paula Oberth, Franziska Springer, Antje Lehmann-Laue, Anja Mehnert-Theuerkauf

“…Data were collected using validated questionnaires; death anxiety was assessed using an adapted version of the Death and Dying Distress Scale (DADDS). Predictors of the reduction of death anxiety were investigated using multiple linear regression models.ResultsThe sample comprised 194 patients (average age 58 years, 62% female, all with a UICC stage of III or IV). …”
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Equivalent reduction of Escherichia coli by rinsing hands with cold and warm water by Kordasiewicz-Stingler, Romana, Reiter, Michael, Kampf, Günter, Gebel, Jürgen, Ilschner, Carola, Suchomel, Miranda

“…Before and after the respective treatment fingertips were sampled to obtain pre- and post-values. Pre- and post-values were averaged separately for each volunteer and the arithmetic means of all individual lg reductions were calculated and compared using Wilcoxon’s matched-pairs signed rank tests (one-sided, P<0.05). …”
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Study of Oxidative–Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores by Alima Mambetaliyeva, Tansholpan Tussupbekova, Leyla Sabirova, Guldana Makasheva, Kanay Rysbekov, Madina Barmenshinova

“…This study examines the effect of sulfidization using sodium sulfide and determines the oxidative–reductive potential (ORP) levels for various reagent dosages. …”
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Generalized Sampling Theory in the Quaternion Domain: A Fractional Fourier Approach by Muhammad Adnan Samad, Yuanqing Xia, Nader Al-Rashidi, Saima Siddiqui, Muhammad Younus Bhat, Huda M. Alshanbari

“…Building on this foundation, this article extends the study of sampling theory using the quaternion fractional Fourier Transform (QFRFT). …”
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Stochastic Portfolio Planning for Virtual Power Plants Using Stratified Sampling by Dosung Kim, Sung-Kwan Joo

“…Specifically, total revenue increased by 1.6%, with a 2.6% improvement in market price revenue and a 5.6% reduction in imbalance penalties.…”
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Arthroscopic-assisted reduction for Developmental Hip Dysplasia (DDH) through the sub-adductor and anterolateral portals; A 24-month follow-up prospective descriptive study by Amr Samir Rashwan, Mahmoud El-Desouky, Hassan Elbarbary, Mahmoud Abd Elhamid Madbouly, Ahmed Khedr

“…Successful treatment aims to achieve a stable concentric reduction and prevent future subluxation or dislocation. …”
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Optimal design of hollow conductor for high‐speed synchronous motor exploiting adaptive‐sampling radial basis function algorithm by Ruiye Li, Peng Cheng, Hai Lan

“…To address this, the paper proposes a multi‐objective optimisation method based on adaptive sampling radial basis function (ASRBF). The ASRBF algorithm adaptively adds sample points by estimating expected improvements at prediction points, enabling the surrogate model to rapidly approximate the global optimum while significantly reducing function evaluations. …”
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Biorefinery of Beach Cast Seaweed in Brazil: Renewable Energy and Sustainability by Fernando Pinto Coelho, Rômulo Simões C. Menezes, Everardo Valadares de S. B. Sampaio, Márcio Gomes Barboza, Emerson Carlos Soares, Elica Amara C. Guedes-Coelho, Elvis J. de França, Agnaldo J. dos Santos, Marcelo F. de Lima, Manoel Messias da S. Costa, Natache Gonçalves de M. Ferrão, Bruno M. Soares, Diego M. do Nascimento, Victor Andrei R. Carneiro, Cesar Augusto M. de Abreu

“…Firstly, the deposition of macroalgae was sampled through 28 collections on seven beaches in the city of Maceió, Brazil, over a two-year period using a zigzag sampling method, covering a deposition area of 135,000 m². …”
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Does Carbon Pricing Matter? Evidence from a Global Sample by Khalid S. Al-Abdulqader, Abdul-Jalil Ibrahim, JingKai Ong, Ahmed A. Khalifa

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LAND RENTS IN THE MEDITERRANEAN REGION: A SAMPLE STUDY FROM TÜRKİYE by Gülşen KESKİN, Osman Orkan ÖZER

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Sample Weighting Methods for Compensating Class Imbalance in Elephant Flow Classification by Piotr Jurkiewicz, Robert Wojcik, Jerzy Domzal

“…This paper compares various sample weighting techniques to compensate this imbalance during model training. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…We propose a linear fitting algorithm based on Locality-Sensitive Hashing (LSH) and Random Sample Consensus (RANSAC). Our algorithm combines the efficient similarity search capabilities of the LSH algorithm with the robust fitting mechanism of RANSAC. …”
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Non-specific TVLA method based on two-sample KS test by Zhen ZHENG, Yingjian YAN, Juesong CAI, Yanjiang LIU

“…Test vector leakage assessment (TVLA) is prone to “false negative” when the power consumption sample size is small.To address this issue, it was found that for non-specific TVLA, when the power consumption sample size changes, the test statistic t-values obtained at the leakage sampling points in the power trace vary accordingly, while the t-values at the non-leakage sampling points do not significantly vary.Therefore, when there is leakage, the distributions of the t-values obtained under different sample sizes will be different.Based on this, it was proposed to implement non-specific TVLA under different sample sizes and perform two-sample KS test on the obtained t-value sequences to evaluate whether there was leakage.Verifications were carried out based on unprotected-aligned simulation power consumption, protected-aligned power consumption dataset DPA Contest v4_2 and protected-non-aligned self-collected power consumption respectively.The results showed that the sample size required by the proposed method on the aligned simulation power consumption and DPA Contest v4_2 was reduced by at most 46.1% and 39.0% respectively.And after the alignment, the required sample size of the proposed method on the self-collected power consumption is also smaller than that of other schemes, with a maximum reduction of 29.4%.Therefore, the proposed method can effectively reduce the probability of “false negative” when the power consumption sample size is small.…”
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Weight Mobility and Obesity in a Representative Sample of the US Adult Population by Deanna J. M. Isaman, Amy E. Rothberg

“…Despite the attention given to the prevalence of obesity, surprisingly little is known about the incidence or reduction of obesity. We report the 1-year incidence and remission of obesity in a representative sample of the US population. …”
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Dual-Stage Clean-Sample Selection for Incremental Noisy Label Learning by Jianyang Li, Xin Ma, Yonghong Shi

“…To address this critical gap, this paper presents a dual-stage clean-sample selection method for Incremental Noisy Label Learning (DSCNL). …”
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