Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model by Chih-Wei Chen, Hao-Hung Tsai, Chao-Yuan Yeh, Cheng-Kun Yang, Hsi-Kai Tsou, Pui-Ying Leong, James Cheng-Chung Wei

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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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Whole-Genome Resequencing Reveals Phylogenetic Relationships and Sex Differentiation Mechanisms Among Fujian <i>Cycas</i> Species by Xinyu Xu, Yousry A. El-Kassaby, Sijia Liu, Juan Zhang, Lanqi Zhang, Junnan Li, Wenkai Li, Kechang Zhang, Minghai Zou, Zhiru Lai, Likuang Lin, Yongdong Zhang, Shasha Wu, Bihua Chen

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Comparative metabolomic profiling of Lupinus albus and L. angustifolius harvest residues: exploring chemical diversity and valorization potential by Salma Halime, Salma Halime, Jenny Renaut, Stéphanie Zimmer, Hanna Heidt, Cédric Jacquard, Kjell Sergeant

“…Lupin species are a rich source of bioactive compounds with diverse industrial applications, yet their harvest residues remain underutilized. …”
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Consistent microbial insights across sequencing methods in soil studies: the role of reference taxonomies by Niranjana Rose Edwin, Aoife Duff, Coline Deveautour, Fiona Brennan, Florence Abram, Orla O'Sullivan

“…Our findings reveal that both methods offer moderately similar outcomes, providing consistent detection of major phyla, similar microbial community differentiation patterns, and largely identifying the same relationships between the phyla and nitrogen functions. …”
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TRIM study protocol - a prospective randomized multicenter Trial to assess the Role of Imaging during follow-up after radical surgery of stage IIB-C and III cutaneous malignant Mel... by Ylva Naeser, Hildur Helgadottir, Yvonne Brandberg, Johan Hansson, Roger Olofsson Bagge, Nils O. Elander, Christian Ingvar, Karolin Isaksson, Petra Flygare, Cecilia Nilsson, Frida Jakobsson, Olga del Val Munoz, Antonis Valachis, Malin Jansson, Charlotte Sparring, Lars Ohlsson, Ulf Dyrke, Dimitrios Papantoniou, Anders Sundin, Gustav J. Ullenhag

“…Early onset of treatment seems to improve outcome, which suggests that early detection of recurrent disease should be beneficial. …”
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Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China by Liuqing Zhao, Sumeng Xu, Sumeng Xu, Jinmei Zhao, Shujuan Chen, Xiaolong Liu, Xiuyuan Zheng, Xiuhui Wang, Zhao Zhu, Fei Gao, Bingzhe Fu, Shuxia Li

“…IntroductionExploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. …”
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Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients by Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar

“…Annovar, Intervar, Variant Effect Predictor (VEP), and OncoKB software tools were used to functionally annotate and interpret somatic variants detected. …”
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Distribution, Occupancy, and Habitat of the Endangered Carolina Madtom: Implications for Recovery of an Endemic Stream Fish by W. Robert Cope, Thomas J. Kwak, Tyler R. Black, Krishna Pacifici, Jennifer M. Archambault, W. Gregory Cope

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Transcriptome-wide identification of 5-methylcytosine by deaminase and reader protein-assisted sequencing by Jiale Zhou, Ding Zhao, Jinze Li, Deqiang Kong, Xiangrui Li, Renquan Zhang, Yuru Liang, Xun Gao, Yuqiang Qian, Di Wang, Jiahui Chen, Liangxue Lai, Yang Han, Zhanjun Li

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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…To get a fast solution using limited computational resources, those methods assume the tissue is homogeneous and non-dispersive, and thus, a simplified far-field Green’s function is used. …”
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Improving outcomes for people with autism spectrum disorders by reducing mental health problems: the IAMHealth research programme including one RCT by Emily Simonoff, Gillian Baird, Bryony Beresford, Tony Charman, Martin Knapp, Andrew Pickles, Carol Povey, Tom Purser, Paramala Santosh, Vicky Slonims, Stephen Scott

“…Design Work package 1: we developed and validated a new instrument to provide improved detection of mental health and behavioural problems in autistic people from childhood through to adult life. …”
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EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

“…<h4>Objectives</h4>The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). …”
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Fast-timing spectroscopy with the ν-ball2 spectrometer by Pascu S., Hiver C., Podolyák Zs., Regan P.H., von Tresckow M., Wilson J.N.

“…These observables and their corresponding transition probabilities are key fingerprints for the structure of atomic nuclei, as they are sensitive to small components of the wave function. Neutron-rich nuclei have been populated in a two-step fission-induced experiment. …”
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Spectrum of Cortactin Isoforms in the Urine of Patients with Liver Cirrhosis and Their Diagnostic Value as a Potential Molecular Marker of its Severity by Fayura O., Starikovych M., Abrahamovych O., Abrahamovych M., Stoyka R., Kit Yu.

“…Since the protein content of human urine is closely related to the peculiarity of the functioning of biological systems, its qualitative and quantitative characteristics are promising markers for control of various processes in organism. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…The results in this study demonstrated that using a proportional collection of instances trained with the deep learning algorithm, a classified data set can accurately detect suspicious behavior. This method permits for the allocation of multiple log source types through a sliding time window and provides a scalable solution, which is a much-needed function.…”
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Cortical layer-specific abnormalities in auditory responses in a mouse model of Fragile X Syndrome by Katrina E. Deane, Devin K. Binder, Khaleel A. Razak

“…Sensory sensitivity and temporal processing deficits in the auditory domain will affect development of language and cognitive functions. The mouse model for FXS, Fmr1 KO, has shown remarkably similar auditory processing phenotypes to patients with FXS. …”
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Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…Drought variation was predominantly influenced by interannual oscillations, with the periods of the components of intrinsic mode functions 1 (IMF1) and 2 (IMF2) being 3.1 and 7.3 years, respectively. …”
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Characteristics of chemically induced liver progenitors derived from a pig model of metabolic dysfunction-associated steatotic liver disease. by Masayuki Fukumoto, Daisuke Miyamoto, Akihiko Soyama, Takanobu Hara, Yasuhiro Maruya, Peilin Li, Hajime Matsushima, Kazushige Migita, Takahiro Enjoji, Hanako Tetsuo, Takuro Fujita, Mampei Yamashita, Hajime Imamura, Tomohiko Adachi, Kengo Kanetaka, Takahiro Ochiya, Susumu Eguchi

“…In contrast, markers of functional MH after re-differentiation were only detected in the healthy group. …”
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Measuring communities’ efficiencies within the global tourism network by He Zhu

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