Automation of small sample positioning for mechanical testing in hot cells by Kateřina Hrdličková, Václav Wudi, Michaela Frantová, Petr Štemberk

“…Video recordings of the tests were used to analyse the progress of the tests. The main issues were the placement of samples off the axis of the compression test machine, sample curvature, compression test machine design and poor recording of sample deformation. …”
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Comparing The Abrasion Resistance of Conventional Concrete and Green Concrete Samples by Mohammed Q. Abbas, Ali N. Hilo, Thaar S. Al-Gasham

“… Significant volumes of non-biodegradable solid waste are related to industrial activity in Iraq, with waste plastic being one of the most notable. 24 samples were used in this study to test the effectiveness of recycling waste plastic to make concrete. …”
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Comparative assessment of yield and environmental stability of common dill samples by V. V. Skorina, A. V. Piatrenka

“…The creation of varieties and hybrids with environmental sustainability is a priority in crop breeding. Many issues related to biology and ecology of a number of spice plants remain understudied. …”
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Analysis of Biological Samples in a Contemporary Laboratory Practice (Review) by I. I. Miroshnichenko, Y. E. Shilov

“…The review highlights some of the practical issues of preparation of calibration samples, method of increasing the stability of the sample at the stage of sampling and plasma preparation. …”
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Unsupervised Spectral Super-Resolution Guided by Spectral Sampling Priors by Xintao Zhong, Shenfu Zhang, Chenyang Lu, Xuejian Sun, Feng Shao, Weiwe Sun, Xiangchao Meng

“…To address these challenges, spectral super-resolution (SSR) techniques have emerged to generate high-quality HSIs from widely accessible RGB images, enabling applications in agriculture, medicine, and environmental monitoring. To address these issues, we propose a novel unsupervised SSR network guided by spectral sampling priors (<italic>SPointNet</italic>). …”
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Microplastic Presence in Commercial Sea Salt: Sampling and Quantification Challenges by Cristina Di Fiore, Maria Pia Sammartino, Cristina Giannattasio, Pasquale Avino, Giovanni Visco

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Design and Analysis of a Portable Robot for Venous Blood Sampling by Haoran Xue, Hasiaoqier Han, Gang Man, Zeran Feng, Peng Yu, Zhenbang Xu

“…To address this issue, this paper proposes a portable robot for venous blood sampling that features a 6-P-RR-R-RR horizontal parallel mechanism in its main structure. …”
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Psychometric properties of the self-rating organization scale with adult samples by Takeda T, Tsuji Y, Ando M

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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

“…Botnets pose a great threat to the Internet, and early detection is crucial for maintaining cybersecurity.However, in the early stages of botnet discovery, obtaining a small number of labeled samples restricts the training of current detection models based on deep learning, leading to poor detection results.To address this issue, a botnet detection method called BT-RN, based on metric learning, was proposed for small sample backgrounds.The task-based meta-learning training strategy was used to optimize the model.The verification set was introduced into the task and the similarity between the verification sample and the training sample feature representation was measured to quickly accumulate experience, thereby reducing the model’s dependence on the labeled sample space.The feature-level attention mechanism was introduced.By calculating the attention coefficients of each dimension in the feature, the feature representation was re-integrated and the importance attention was assigned to optimize the feature representation, thereby reducing the feature sparseness of the deep neural network in small samples.The residual network design pattern was introduced, and the skip link was used to avoid the risk of model degradation and gradient disappearance caused by the deeper network after increasing the feature-level attention mechanism module.…”
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Learning From Imbalanced Data Using Triplet Adversarial Samples by Jaesub Yun, Jong-Seok Lee

“…We present a new synthetic data generation method that addresses this issue by combining adversarial sample generation with a triplet loss method. …”
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Ions and Metals in Polystyrene Samples by X-Ray Fluorescence Technique by Thales Zanin dos Santos de Oliveira, Cibele Bugno Zamboni, Bárbara Barroso Issa Cardozo, João Paulo de Sá Felizardo, Roberto Meigikos dos Anjos

“…This analysis will help identify toxic metals present in these polymer compositions as well as metals adsorbed on the plastic surface, contributing to defining measures to address this issue. Samples (in triplicate) were divided into three groups: I) Standard: sample available commercially; II) Control: sample exposed only to ultra-pure water, in the dark with a controlled temperature of 25 degrees Celsius; III) Exposed samples in Jurujuba (Baía de Guanabara). …”
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Accelerating RRT* convergence with novel nonuniform and uniform sampling approach by Sivasankar Ganesan, Mohanraj Thangamuthu, Balakrishnan Ramalingam, Madan Mohan Rayguru, Sethu Narayanan Tamilselvan

“…However, its reliance on uniform sampling often results in slow convergence. To address this issue, this work proposes a novel hybrid sampling method called RRT*-NUS (nonuniform–uniform sampler), which combines both uniform and nonuniform sampling to improve exploration efficiency. …”
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Monte Carlo Thompson sampling-guided design for antibody engineering by Taro Kakuzaki, Hikaru Koga, Shuuki Takizawa, Shoichi Metsugi, Hirotake Shiraiwa, Zenjiro Sampei, Kenji Yoshida, Hiroyuki Tsunoda, Reiji Teramoto

“…When the number of experiments is limited, this over-exploration causes a serious issue. Thus, we conducted Monte Carlo Thompson sampling (MTS) to balance the exploration-exploitation trade-off by defining the posterior distribution via the Monte Carlo method and compared its performance with TS in antibody engineering. …”
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The role of microbiome in the pathogenesis of immune-mediated inflammatory diseases: controversial issues by A. M. Lila, E. A. Galushko, A. V. Gordeev, A. S. Semashko

“…However, a number of unresolved issues remain, since the emphasis has been on the cataloguing of the microorganisms present and on the identification of correlations between microbial species and diseases. …”
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Smoking-Associated Changes in Gene Expression in Coronary Artery Disease Patients Using Matched Samples by Mohammed Merzah, Szilárd Póliska, László Balogh, János Sándor, Szilvia Fiatal

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Topical issues of vaccination and epidemiological surveillance over measles and rubella in Ukraine. by G. M. Daragan, T. Yu. Krushinska, D. O. Stepanskiy, I. V. Demchyshyna, I. P. Kolesnikova

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Solving the issues in studying the soil cover at the institutions for plant varieties examination by В. М. Ткаченко, А. В. Андрющенко, О. Б. Барбан, А. П. Сіжук

“…Methods.Fieldandanalytical ones. Results. Issues are identified that arise during soil sampling at institutions for plant varieties examination within the state system of plant varieties protection. …”
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Thyrotoxicosis antidote assay along with concurrent medication; chromatographic and environmental issues by Raghda A. Emam, Aml A. Emam, Rehab M. Abdelfatah, Basma H. Anwar

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Quality of Sleep Profiles and Mental Health Issues among University Students by Zayra Antúnez, Rodrigo C. Vergara, Sebastián Rosa, Javiera Zapata, Wilson Espinoza, Natacha Ortiz, Loreto Parra, Jorge Santander, Tomas Baader

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Psychological resources as predictors of emotional and behavioral issues in young University students by María Elena Rivera Heredia, Irma María Niebla Guzmán, Xolyanetzin Montero Pardo

“…Objective: To identify the psychological resources that can predict emotional and behavioral issues in young people. Method: Four different scales were used to evaluate a non-probabilistic sample of 320 university students: the emotional and behavioral issues scales, the intra-family relationships scale, and the social resources scale and affective resources scale. …”
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