Three Complementary Sampling Approaches Provide Comprehensive Characterization of Pesticide Contamination in Urban Stormwater by Gab Izma, Melanie Raby, Justin B. Renaud, Mark Sumarah, Paul Helm, Daniel McIsaac, Ryan Prosser, Rebecca Rooney

“…Addressing these issues requires different tools to describe exposures and predict toxicological risk to exposed biota. …”
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Exposure to vehicle traffic in childhood and lung function in young adulthood—a prospective cohort study in an area with low traffic-flows by Nicolás Bermúdez Barón, Helena Backman, Linnea Hedman, Eva Rönmark, Martin Andersson

“…Lung function measures included FEV1, FVC and FEV1/FVC. Different exposure thresholds were defined based on proximity (within a 200 m radius from the home address) to a road with a minimum daily count of heavy vehicles (≥ 250 and ≥ 500) or any type of vehicle (≥ 4000 and ≥ 8000). …”
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Development of a clinical prediction model for intra-abdominal infection in severe acute pancreatitis using logistic regression and nomogram by Rui Qi, He-Bin Wang, Ren-Ying Luo, Jing Li, Li Su

“…Decision curve analysis (DCA) was performed to determine the net clinical benefit across different risk thresholds.ResultsThe final cohort comprised 415 patients, with 291 in the training set and 124 in the validation set. …”
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Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

“…To construct brain functional networks, we employed mutual information to quantify the correlation between EEG channels and set appropriate thresholds. We then extracted three network attribute features—global efficiency, local efficiency, and local clustering coefficients—to achieve emotion classification based on dynamic brain network features.ResultsThe proposed method is evaluated on the DEAP dataset through subject-dependent (trial-independent), subject-independent, and subject- and trial-independent experiments along both valence and arousal dimensions. …”
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The effects of 8 weeks of sprint interval training on repeated sprinting and specialized ability in college volleyball players. by Chao Wei, Jing An, Lin Zhou

“…These findings suggest that SIT represents an effective and time-efficient training method for improving volleyball performance.…”
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Differential risk of cardiovascular complications in patients with type-2 diabetes mellitus in Ghana: A hospital-based cross-sectional study. by Christian Obirikorang, Evans Asamoah Adu, Anthony Afum-Adjei Awuah, Samuel Nkansah Darko, Frank Naku Ghartey, Samuel Ametepe, Eric N Y Nyarko, Enoch Odame Anto, William Kwame Boakye Ansah Owiredu

“…To select participants, a systematic random sampling method was employed. Demographic data was collected using a structured questionnaire and fasting blood samples were taken to measure glycemic and lipid levels. …”
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Adherence to Artemisinin-Based Combination Therapy for the Treatment of Uncomplicated Malaria: A Systematic Review and Meta-Analysis by Ahmad M. Yakasai, Muhammad Hamza, Mahmood M. Dalhat, Musa Bello, Muktar A. Gadanya, Zuwaira M. Yaqub, Daiyabu A. Ibrahim, Fatimah Hassan-Hanga

“…The accuracy of pooled estimates could be limited by publication bias, and differing methods and thresholds of assessing adherence. …”
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Spinal cord stimulation using time-dynamic pulses achieves longer reversal of allodynia compared to tonic pulses in a rat model of neuropathic pain by Changfang Zhu, Ki-Soo Jeong, Ki-Soo Jeong, Muhammad Edhi, Victoria Rogness, Carl Y. Saab, Carl Y. Saab, Rosana Esteller

“…Because the anti-allodynic effect was observed to persist post-stimulation, we hypothesized that the anti-nociceptive effects of TDPs may persist longer than those of tonic stimulation.MethodsWe extended SCS stimulation period up to 90 min and investigated the temporal dynamics of SCS-induced analgesia through PWT analysis of the aggregated data from both cohorts.ResultsBoth TDPs and tonic stimulation reversed paw withdrawal thresholds (PWT) to near pre-neuropathic levels within 30 min. …”
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Factor Analysis of Low-Frequency Repetitive Transcranial Magnetic Stimulation to the Temporoparietal Junction for Tinnitus by Hui Wang, Bei Li, Meiye Wang, Ming Li, Dongzhen Yu, Haibo Shi, Shankai Yin

“…We investigated factors that contribute to suppression of tinnitus after repetitive transcranial magnetic stimulation (rTMS). Methods. A total of 289 patients with tinnitus underwent active 1 Hz rTMS in the left temporoparietal region. …”
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Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm by Jenniffer Sobeida Moreira-Choez, Tibisay Milene Lamus de Rodríguez, Aracelly Fernanda Núñez-Naranjo, Ángel Ramón Sabando-García, María Belén Reinoso-Ávalos, Cynthia Michel Olguín-Martínez, Daniel Omar Nieves-Lizárraga, Julieta Elizabeth Salazar-Echeagaray

“…Coefficients obtained for reliability and model fit met or exceeded established thresholds in educational research.DiscussionThe findings confirm the empirical soundness of the AI-based instrument and support the feasibility of using such tools to assess and enhance teaching models in higher education. …”
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Upregulation of interferon gamma gene expression among asymptomatic malaria adults in Bayelsa State, Nigeria by Faith Ajiebabhio Ogbole, Chidi Uzoma Igwe, Chinyere Henrietta Onuoha, Chiamaka Perpetua Nzebude, Hilary Izuchukwu Okagbue

“…Hb, blood groups, and IFNγ mRNA expression were determined using electrophoresis, agglutination, and real-time PCR method respectively. Logistic regression and t-test were used to determine significant differences between groups at p < 0.05. …”
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Assessment of muscle strength using handgrip test in a middle-aged and elderly Russian population and its association with health characteristics by A. V. Kapustina, S. A. Shalnova, V. A. Kutsenko, A. V. Kontsevaya, G. Е. Svinin, G. A. Muromtseva, Yu. A. Balanova, S. T. Evstifeeva, A. E. Imaeva, N. S. Karamnova, M. B. Kotova, S. A. Maksimov, O. B. Shvabskaya, E. M. Filichkina, O. E. Ivlev, A. A. Zelenina, L. I. Gomanova, E. B. Yarovaya, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radjabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, M. V. Esina, T. A. Kunyaeva, A. M. Nikitina, N. V. Savvina, Yu. E. Spiridonova, E. A. Naumova, A. A. Keskinov, V. S. Yudin, S. M. Yudin, O. M. Drapkina

“…With age, as expected, the proportion of people of both sexes with a metabolic syndrome level below the threshold increases, reaching 7,5% after 65 years. …”
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Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling by Guiquan Song, Shufang Liu, Xijian Song, Xuelian Jiang, Shuai Gong, Wenya Hao, Ying Cui, Yueling Zhao

“…Our model predicted 8.64 × 105 km2 of suitable habitat for L. leucanthum based on 25th percentile thresholds. However, the highly suitable habitat for L. leucanthum is only about 0.55 × 105 km2. …”
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Accuracy and repeatability of the COSMED® Q-NRG max mobile metabolic system. by Lavinia Falcioni, Laura Guidetti, Carlo Baldari, Andrey Sanko Posada, Chris Wing, Luke Dover, Marco Meucci

“…<h4>Purpose</h4>To investigate the accuracy and repeatability of the Q-NRG Max® metabolic system against a VacuMed metabolic simulator using a wide range of metabolic rates.<h4>Methods</h4>Sixteen metabolic rates (oxygen consumption 0.9-6 L/min), with different combinations of minute ventilation, oxygen consumption, and carbon dioxide production, were measured for 5 minutes, two times by a single Q-NRG Max® unit over the course of one week. …”
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Behaviour-based movement cut-off points in 3-year old children comparing wrist- with hip-worn actigraphs MW8 and GT3X. by Daniel Jansson, Rikard Westlander, Jonas Sandlund, Christina E West, Magnus Domellöf, Katharina Wulff

“…This study aimed at (i) calibrating activity counts of motor behaviour measured simultaneously with MotionWatch 8 (MW8) and ActiGraph (GT3X) in 3-year-old children, (ii) documenting movement intensities in 30s-epochs at wrist/hip positions, and (iii) evaluating the accuracy of cut-off agreements between different behavioural activities.<h4>Methods</h4>Thirty 3-year-old children of the NorthPop cohort performed six directed behavioural activities individually, each for 8-10 minutes while wearing two pairs of devices at hip and wrist position. …”
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Muscle matters: Skeletal muscle index and body mass index impact on complications and survival in renal cancer by Alexander Hintze Hillers, Signe Wang Bach, Atena Saito, Nessn Azawi

“…Conclusions Higher SMI increases the risk of postoperative complications, yet it significantly improves overall survival rates. Different BMI categories lack RCC prognostic significance. …”
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The effects of transitioning from SITA-Standard to SITA-Fast or SITA-Faster on sensitivities below the measurement floor by Chris Bradley, Alex Pham, Jithin Yohannan

“…Design: Retrospective descriptive study Participants: A total of 21,468 24-2 SITA-Standard, 4872 SITA-Fast and 3468 SITA-Faster VFs from 7917 glaucoma and glaucoma suspect eyes with at least 5 VFs between 1997 and 2023 at the Wilmer Eye Institute. Methods: At each test location of the 24-2 test pattern, we measured the probability that <0 dB at a given test location on two baseline SITA-Standard VFs was M dB or higher on the first SITA-Fast or SITA-Faster post-baseline VF for different values of M > 0. …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…These datasets improved classification accuracy by ensuring a comprehensive representation of vegetation spectral variability, enabling the classifier to identify the key phenological patterns that best characterize and distinguish different vegetation types across the landscape. The proposed methodology achieves a classification accuracy of 92.59%, significantly exceeding the commonly reported thresholds for habitat mapping. …”
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A clear distinction and presence of Acropora aff. divaricata within Acropora cf. solitaryensis species complex along their biogeographic distribution in East Asia by Savanna Wenhua Chow, Chih-Hsun Chen, Du-Yang Tsai, Takuma Mezaki, Satoshi Kubota, Hernyi Justin Hsieh, Shashank Keshavmurthy, Chaolun Allen Chen

“…Abstract In the Anthropocene, scleractinian corals face unprecedented threats from synergistic stressors, including rising seawater temperatures that surpass critical thresholds that lead to global coral reef degradation. …”
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Abstract 078: Managing Clopidogrel Resistance in Neurointervention: Surveying Current Approaches by Hyun Woo Kim, Ivo Bach, Juan Carlos Martinez‐Gutierrez, Adam Dmytriw, Hussein Zeineddine, Salvatore D'Amato, Sunil Sheth

“…Respondents reported 25 different therapeutic thresholds, with the P2Y12 Reaction Units range between 60 and 180 most commonly used (16.4%). 61% reported they would switch to ticagrelor in the case of persistent resistance. …”
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