GENERATION AND COLLECTION OF TOBACCO AEROSOL FOR SHISHA by N. N. Bubnova, M. V. Shkidyuk

“…Qualitative characteristics of tobacco aerosol for shisha are determined by the functional purpose and depend on the component composition of the tobacco mixture and the coal used.The purpose of the research is to develop a methodology for the comprehensive assessment of tobacco for shisha based on modern methods of product quality control and includes the following steps:- monitoring of the studies to determine the component composition of the hookah mixture and the aerosol produced;- analysis of hookah mixture testing modes and development of an aerosol generation protocol;- development of a method for collecting aerosol on a laboratory smoking machine; - quantitative analysis of toxic analytes by HPLC MS / MS method.Methods have been developed for the machine generation and collection of tobacco aerosol for hookah, taking into account low concentrations of the analyzed toxic substances.The expediency of using the HPLC MS / MS method to determine the quantity of the following substances in tobacco aerosol for shisha has been substantiated:- carbonyl compounds (formaldehyde, acetaldehyde, acrolein) by detection on an electrospray source in the negative polarity mode- tobacco specific nitrosoamines (NNN and NNK) by detection on an electrospray source in the positive polarity mode.During the research laboratory and analytical equipment was used: a five-channel linear CERULEAN SM 405 smoking machine; Thermo Scientific Dionex UltiMate 3000 liquid chromatograph and TSQ Quantiva mass spectrometer.Obtaining experimental data on the quantitative determination of the component composition of the aerosol produced by tobacco for shisha using hookah systems is relevant for assessing toxic characteristics of the product.…”
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Thrombus rooting in the pulmonary arteriovenous fistula in a patient with cryptogenic stroke, a case report by Ming Song, Honggang Dai, Weida Lu, Xiao Meng

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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…The SentemQC method is computationally efficient and features a six-step user-friendly setup for anomaly detection. The method marks anomalies in data using five moving windows. …”
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INTERACTION BETWEEN DENTO-MAXILLOFACIAL ANOMALIES AND GENERAL-SOMATIC HUMAN CONDITION (LITERATURE REVIEW) by L.V. Smaglyuk, H.V. Voronkova, A.Ye. Karasiunok, A.V. Liakhovska, V.I. Smaglyuk

“…The peculiarities of their structure and relations are subordinated to their functioning as part of a single integral mechanism. …”
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Evidence of limited N2 fixation in the Southern Ocean by Shuai Gu, Hugo Berthelot, Yajuan Lin, Weiyi Tang, Julie Robidart, A. Murat Eren, Hugh W. Ducklow, Nicolas Cassar

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Distribution, behavior and diet of the Asiatic black bear in human modified landscapes by Hadi Fahimi, Mahmood Soofi, Nahid Ahmadi, Ali T. Qashqaei, Hamidreza Heidari, Haaken Bungum, Bent Rech, Jonas Trepel, Matthias Waltert

“…Elevation, precipitation, village density, and PA size did not substantially influence occupancy. Black bear detection probability became 100 % only above 14 km survey effort, indicating its overall rarity, and bears were much more easily detected during and after rainfall. …”
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Antiretroviral drug therapy does not reduce neuroinflammation in an HIV-1 infection brain organoid model by Samuel Martinez-Meza, Thomas A. Premeaux, Stefano M. Cirigliano, Courtney M. Friday, Stephanie Michael, Sonia Mediouni, Susana T. Valente, Lishomwa C. Ndhlovu, Howard A. Fine, Robert L. Furler O’Brien, Douglas F. Nixon

“…Abstract Background HIV-1-associated neurocognitive impairment (HIV-1-NCI) is marked by ongoing and chronic neuroinflammation with loss and decline in neuronal function even when antiretroviral drug therapy (ART) successfully suppresses viral replication. …”
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Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

“…The objectives of this work were to deepen the understanding of the regulation of the function of taste receptor genes in the circumvallate papillae of obese Iberian pigs in comparison to Duroc pigs, and to characterize their genetic variation and associations with relevant production traits. …”
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Evaluation of the authenticity of Citri Grandis Exocarpium based on metabolomics and transcriptomics by Haiting Huang, Yu Liu, Jianmu Su, Xiangxiu Liang, Hong Wu, Mei Bai

“…Flavonoids related to medicinal effects, such as naringin and hesperidin, were significantly more abundant in Huazhou pomelo than in Sanhong pomelo, with compounds such as 5-demethylnobiletin detected only in Huazhou pomelo. The integrative metabolomics and transcriptomics analysis identified 11 key structural genes and transcription factors potentially involved in flavonoid biosynthesis, providing candidate targets for functional validation. …”
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Species-level enumeration of low-concentration lactic acid bacteria in breast milk by Yue Sun, Qiming Li, Mengling Hu, You Wu, Yunchao Wa, Hai Lu, Shilong Jiang, Hui Wang, Qiaosi Wei, Yujun Huang, Ruixia Gu, Chenchen Zhang

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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 1; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…The SentemQC method is computationally efficient and features a six-step user-friendly setup for anomaly detection. The method marks anomalies in data using five moving windows. …”
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DUALZ—Deep UNCOVER-ALMA Legacy High-Z Survey by Seiji Fujimoto, Rachel Bezanson, Ivo Labbe, Gabriel Brammer, Sedona H. Price, Bingjie Wang, John R. Weaver, Yoshinobu Fudamoto, Pascal A. Oesch, Christina C. Williams, Pratika Dayal, Robert Feldmann, Jenny E. Greene, Joel Leja, Katherine E. Whitaker, Adi Zitrin, Sam E. Cutler, Lukas J. Furtak, Richard Pan, Iryna Chemerynska, Vasily Kokorev, Tim B. Miller, Hakim Atek, Pieter van Dokkum, Stéphanie Juneau, Susan Kassin, Gourav Khullar, Danilo Marchesini, Michael Maseda, Erica J. Nelson, David J. Setton, Renske Smit

“…We also detect a marginal dust emission from an X-ray-detected galaxy at z _spec = 10.07, suggesting an active coevolution of the central black hole and its host. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. …”
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Who Leads Trends on Q&A Platforms? Identifying and Analyzing Trend Discoverers by Yongning Li, Lun Zhang, Ye Wu, Tianlan Wei

“…The insights derived from this research have crucial implications for improving the development and functionality of Q&A platforms.…”
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Safety and Probiotic Evaluation of Lactiplantibacillus plantarum CHEN1 and Its Metabolic Analysis of Soymilk Oligosaccharides by Zhina CHEN, Shiyi CAO, Linlin YIN, Mengyuan SHAO, Tao YE, Zhangrui XU, Xiaochen HUANG

“…The genetic characteristics of the strain were analyzed through genome sequencing and functional annotation. Phenotypic experiments, including hemolytic activity assays, detection of harmful metabolites, antibiotic susceptibility testing, tolerance experiments, hydrophobicity, and autoaggregation assays were conducted to evaluate its safety and probiotic potential. …”
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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…This dip in coherence, which we detect for the first time in Cygnus X-1 at energies above 3 keV, appears in a state in which the source shows high-amplitude radio variability and significant hard X-ray polarization. …”
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A SPectroscopic Survey of Biased Halos in the Reionization Era (ASPIRE): Spectroscopically Complete Census of Obscured Cosmic Star Formation Rate Density at z = 4–6 by Fengwu Sun, Feige Wang, Jinyi Yang, Jaclyn B. Champagne, Roberto Decarli, Xiaohui Fan, Eduardo Bañados, Zheng Cai, Luis Colina, Eiichi Egami, Joseph F. Hennawi, Xiangyu Jin, Hyunsung D. Jun, Yana Khusanova, Mingyu Li, Zihao Li, Xiaojing Lin, Weizhe Liu, Romain A. Meyer, Maria A. Pudoka, George H. Rieke, Yue Shen, Wei Leong Tee, Bram Venemans, Fabian Walter, Yunjing Wu, Huanian Zhang, Siwei Zou

“…We identify eight DSFGs in seven fields at z = 4–6 through the detection of H α or [O  iii ] λ 5008 lines, including fainter lines such as H β , [O  iii ] λ 4960, [N  ii ] λ 6585, and [S  ii ] λλ 6718,6733 for six sources. …”
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Combining dopamine and glucose sensings on paper devices for the metabolic study of neurosecretion by Rémi F. Dutheil, Dabeaurard Tho, Iman Pitroipa, Raphaël Trouillon

“…Glucose, the main source of energy of the human body, and dopamine, a major neurotransmitter, are two analytes widely investigated in the study of the brain. …”
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A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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