Time-Series Autoregressive Models for Point and Interval Forecasting of Raw and Derived Commercial Near-Infrared Spectroscopy Measures: An Exploratory Cranial Trauma and Healthy Co... by Amanjyot Singh Sainbhi, Logan Froese, Kevin Y. Stein, Nuray Vakitbilir, Rakibul Hasan, Alwyn Gomez, Tobias Bergmann, Noah Silvaggio, Mansoor Hayat, Jaewoong Moon, Frederick A. Zeiler

“…Leveraging existing archived data sources, four point and interval-forecasting methods using autoregressive integrative moving average (ARIMA) models were evaluated to assess their ability to predict NIRS cerebral physiologic signals. …”
Get full text

Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

“…LLMs, with extensive pretraining and text generation capabilities, offer a new solution. Methods: We applied prompt engineering and knowledge distillation based on instruction fine-tuning to optimize LLMs for AKI prediction. …”
Get full text

A systematic review and meta-analysis of the effectiveness of perineural dextrose injection in peripheral compression neuropathies of the upper limbs by Fatemeh Azizi, Faezeh Saber Gharesoo, Fereshteh Eidy, Sama Heidari, Nastaran Maghbouli, Shirin Djalalinia, Amir Kasaeian

“…We aimed to evaluate dextrose injection's efficacy in treating entrapment neuropathies in upper extremities. Method: We systematically searched EMBASE, Scopus, Web of Science, and PubMed. …”
Get full text

Development and Validation of a Suite of E-Probes for Electronic Diagnostic Nucleic Acid Analysis (EDNA) for 20 Graft-Transmissible Pathogens of Citrus Using MiFi and Blind Ring Te... by D. M. Nascimento, S. Bodaghi, H. Wang, M. R. Ribeiro-Junior, R. Campos, T. Dang, F. Osman, J. Habiger, A. S. Espindola, G. Vidalakis, K. F. Cardwell

“…These e-probes were optimized using the MiFi bioinformatics platform for specificity, sensitivity, and detection limits through both in silico and in planta testing. …”
Get full text

A multistage double-blind placebo-controlled study to assess the safety and efficacy of transdermal vitamin D phosphate supplementation (TransVitD) by Thomas Hibbard, Paolo Andriollo, Chui Hua Lim, Qing Guo, Karl P. Lawrence, Bolaji Coker, Rayka Malek, Abdel Douiri, Mohamed A. Alhnan, Stuart.A. Jones

“…As UV-catalysed production in the skin, which uses vitamin D-binding protein to facilitate systemic absorption, is the primary source of vitamin D, it is questionable if oral supplementation of this vitamin is the optimal means to replace it. …”
Get full text

Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions by Yongyu Chen, Yongyu Chen, Hengbati Wutanbieke, Dongdong Zhong, Dongdong Zhong, Jian Chen, Jian Chen, Zhen Huo, Zhen Huo, Hegan Dong, Hegan Dong

“…IntroductionThe harvest index (HI), a crucial agronomic trait that measures the ratio of grain yield to aboveground biomass, serves not only as a vital indicator for assessing wheat yield but also as a core parameter for predicting straw resource. It reflects the "source-sink" relationship and biomass allocation strategies in crops. …”
Get full text

The effectiveness of calcium silicate in preventing ice-ice disease and production performance of Kappaphycus alvarezii by Ayu Puspa Wirantari, Kukuh Nirmala, Eddy Supriyono, Hamim Hamim

“…This study aims to evaluate the effectiveness of calcium silicate (CaSiO3) dosing as a mineral source for the prevention of ice-ice disease and the growth of K. alvarezii seaweed. …”
Get full text

Not stealing from the treasure chest (or just a bit): Analyses on plant derived writing supports and non-invasive DNA sampling. by Anna Schulz, Silke Lautner, Jörg Fromm, Markus Fischer

“…Finally, we present a non-invasive DNA sampling method that utilizes nylon membranes, commonly used for bacterial DNA sampling and that is applicable to delicate material. …”
Get full text

Study on Arsenic Removal from Smelter Flue Gas Using Modified Camellia Oil Shell Biochar by Yujia ZHANG, Licong GUAN, Zixian ZHOU, Lanxiang XU, Zhilou LIU

“…Non-ferrous smelter flue gas is a major anthropogenic source of arsenic emissions in China. Because the composition of non-ferrous smelter flue gas is complicated, efficient removal of gaseous arsenic remains a significant challenge. …”
Get full text

Cross-evaluation of wearable data for use in Parkinson’s disease research: a free-living observational study on Empatica E4, Fitbit Sense, and Oura by Haakon Reithe, Brice Marty, Juan C. Torrado, Elise Førsund, Bettina S. Husebo, Ane Erdal, Simon U. Kverneng, Erika Sheard, Charalampos Tzoulis, Monica Patrascu

“…Method The study included participants with PD (N = 15) and neurologically healthy controls (N = 16). …”
Get full text

From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…Among the 72 models combining nine feature selection methods and eight machine learning classifiers, the optimal model combination achieved discriminative performance with an average area under the curve (AUC) of 0.615 over 100 iterations under five‐fold cross‐validation. …”
Get full text

FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

“…Accurate bus arrival time prediction is crucial for enhancing passenger experience and optimizing smart city transit systems. Existing methods, typically based on single-route, sparse stop data, struggle with the complex spatiotemporal interactions present in dense stop areas and multi-route networks, resulting in lower prediction accuracy. …”
Get full text

Hybrid causal inference framework for long-chain drought propagation networks: Combining convergent cross-mapping and generalized random forest by Jiayou Wang, Zhi Li, Yaning Chen, Shiru Han, Lingxin Kong

“…The hydrological cycle in inland river basins of arid regions operates as a closed system with diverse recharge sources. In these areas, drought propagation exhibits strong high-dimensional nonlinearity, making it difficult for traditional linear models and time–frequency analysis methods to capture the complex dynamic causal relationships. …”
Get full text

Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…Nevertheless, FL faces difficulties with agent/client participation, model performance, and the heterogeneous nature of networked data sources when it comes to distributed healthcare systems. …”
Get full text

Pengkondisian Sinyal Electromyography sebagai Identifikasi Jenis Gerakan Lengan Manusia by Rizal Maulana, Rekyan Regasari Mardi Putri

“…Electromyography (EMG) is one method in biomedical field that can be used to record biomedical signal to gain the information about arm muscle activity. …”
Get full text

Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

“…More research is needed to quantitatively examine different contribution of sample sizes, modeling algorithms, variables from different sources, and stratification factors on modeling results, so that we can design an optimal procedure for GSV modeling using airborne Lidar data.…”
Get full text

Effects of Continuous Straw Returning Combined with Reduced Fertilizer Application on Rice Yield and Loss of Nitrogen and Phosphorus by Yao Li, Wang Hong, Zhang Qi, Liu Haitao, Luo Fuxiang, Wang Xie, Zheng Shenghua, Liang Fan, Lin Chaowen

“…[Objective] The effects of straw returning combined with reduced chemical fertilizer application on rice yield and nitrogen and phosphorus losses with runoff were studied in order to provide a scientific basis for the recycling and reuse of local agricultural resources and the prevention and control of agricultural non-point source pollution. [Methods] A three-year (2018—2020) field plot experiment was conducted that included two treatments: conventional fertilization (T1), and straw returning + conventional fertilization reduced by 28.57% for nitrogen and 25.11% for phosphorous (T2). …”
Get full text

The efficacy of low-level laser therapy in oral surgery: A systematic review of randomized controlled trials by Alain Chaple Gil, Leonardo Díaz, Alfredo Von Marttens, Claudio Sotomayor, Javier Basualdo, Víctor Beltrán, Gilbert Jorquera, Rodrigo Caviedes, Eduardo Fernández

“…It also aimed to identify optimal laser parameters for future clinical application. …”
Get full text

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State by Qian Hu, Jessica Irwin, Qi Sun, Christopher Messenger, Lami Suleiman, Ik Siong Heng, John Veitch

“…However, the resulting computational demands for analyzing such prolonged signals pose a critical challenge that existing Bayesian methods cannot feasibly address in the 3G era. To bridge this critical gap, we demonstrate a machine learning–based workflow capable of producing source parameter estimation and constraints on equations of state (EOSs) for hours-long BNS signals in seconds with minimal hardware costs. …”
Get full text

EV‐Elute: A universal platform for the enrichment of functional surface marker‐defined extracellular vesicle subpopulations by Willemijn S. deVoogt, Rowan Frunt, Raul M. Leandro, Casper S. Triesscheijn, Bella Monica, Ioanna Paspali, Mark Tielemans, Jerney J. J. M. François, Cor W. Seinen, Olivier G. deJong, Sander A. A. Kooijmans

“…However, it has been technically challenging to examine such functional heterogeneity due to a lack of non‐destructive methods to separate EV subpopulations based on their surface markers. …”
Get full text