Investigating the effects of inflammation on emotional processing by Cooper, C

“…The current thesis therefore aimed to enhance understanding of the neuropsychological underpinnings of the link between inflammation and depression.</p> <p>Negative emotional processing biases are well-recognised in the aetiology of depression; however potential inflammation-induced alterations in emotional processing remain unexplored. …”

Leptospirosis modelling using hydrometeorological indices and random forest machine learning by Jayaramu, Veianthan, Zulkafli, Zed, De Stercke, Simon, Buytaert, Wouter, Rahmat, Fariq, Abdul Rahman, Ribhan Zafira, Ishak, Asnor Juraiza, Tahir, Wardah, Ab Rahman, Jamalludin, Mohd Fuzi, Nik Mohd Hafiz

“…Leptospirosis is a zoonosis that has been linked to hydrometeorological variability. Hydrometeorological averages and extremes have been used before as drivers in the statistical prediction of disease. …”

Life history and demography of the predatory mite, Amblyseius longispinosus Evans by Ibrahim, Yusof, Palacio, Victoria B.

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First records of diurnal and nocturnal predatory birds from artificial hunting perch trials in oil palm plantations by Tohiran, Kamil, Nasir, Dzulhelmi Muhammad, Burhanuddin, Maisarah, Nobilly, Frisco, Zulkifli, Raja, Moslim, Ramle, Yahya, Muhammad Syafiq, Norhisham, Ahmad Razi, Lechner, Alex M., Azhar, Badrul

Stability characterizations of feed-based bivalent vaccine containing inactivated Streptococcus agalactiae and Aeromonas hydrophila against streptococcosis and Aeromonas infections... by Mohd Ali, Nur Shidaa, Ngalimat, Mohamad Syazwan, Saad, Mohd Zamri, Amal, Mohammad Noor Azmai, Salleh, Annas, Zulperi, Zarirah, Md Yasin, Ina Salwany

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Preparation, antifungal potentiality, and mechanisms of action of agronanofungicides in controlling rice blast disease and enhancing yield of rice by Kutawa, Abdulaziz Bashir, Ahmad, Khairulmazmi, Hussein, Mohd Zobir, Ali, Asgar, Abdul Wahab, Mohd Aswad, Rafi, Amara, Gunasena, Mahesh Tiran, Mohd Zobir, Syazwan Afif, Berahim, Zulkarami

Insights on the characteristics and therapeutic potential of mesenchymal stem cell-derived exosomes for mitigation of Alzheimer’s disease’s pathogenicity: a systematic review by Mohammed Yousuf Abdi, Sarah, Mustaffa Al-Bakri, Siti Sarah, Nordin, Norshariza

PubMed text data mining automation for biological validation on lists of genes and pathways by Nies, Hui Wen, Zakaria, Zalmiyah, Chan, Weng Howe, Kamsani, Izyan Izzati, Hasan, Nor Shahida

“…Therefore, the PubMed text data mining automation was invented to link to the websites for saving time instead of manually. …”
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A study on the pedagogical content knowledge of Medical English teachers in medical universities in China: The problems and strategies by Kong, Yuan, Ali, Nor Liza

“…Pedagogical content knowledge is a link between theoretical knowledge and classroom practical knowledge. …”
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Building AI Applications with ChatGPT APIs : Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects / by Yanev, Martin, author 656265

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Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

“…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
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Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing by Ahmad Shahir, Jamaludin, Mohd Nizar, Muhd Razali, Nurul Nadia, Nor Hamran, Mohd Zairulnizam, Mohd Zawawi, Mohd Amran, Md Ali

“…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. Its applications span various fields, from microfluidics and micro-optics to aerospace and biomedical devices, underscoring its transformative potential in contemporary manufacturing. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

“…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
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Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015 by Budisulistiorini, Sri Hapsari, Riva, Matthieu, Williams, Michael, Miyakawa, Takuma, Chen, Jing, Itoh, Masayuki, Surratt, Jason D., Kuwata, Mikinori

“…Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM2.5) samples to support source apportionment of the online measurements. …”
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A multi-view context-aware approach to Android malware detection and malicious code localization by Narayanan, Annamalai, Chandramohan, Mahinthan, Chen, Lihui, Liu, Yang

“…Besides multi-view learning, MKLDroid’s unique and salient trait is its ability to locate fine-grained malice code portions in dependency graphs (e.g., methods/classes). …”
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Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

“…With our proposed approach, fine-tuning, a weak baseline method for few-shot segmentation, gains significant performance improvement (e.g., 7.48% and 7.04% in 2-way-1-shot and 3-way-1-shot tasks of S3DIS, respectively) and outperforms current state-of-the-art methods in all the task settings of S3DIS and ScanNet benchmark datasets.…”
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Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

“…Firstly, we construct hierarchical representations of skeletons to model coarse-to-fine body and motion features from the levels of body joints, components, and limbs. …”
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Full-spectrum out-of-distribution detection by Yang, Jingkang, Zhou, Kaiyang, Liu, Ziwei

“…These new benchmarks have a more fine-grained categorization of distributions (i.elet@tokeneonedot, training ID, covariate-shifted ID, near-OOD, and far-OOD) for the purpose of more comprehensively evaluating the pros and cons of algorithms. …”
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Unsupervised land-use change detection using multi-temporal POI embedding by Yao, Yao, Zhu, Qia, Guo, Zijin, Huang, Weiming, Zhang, Yatao, Yan, Xiaoqin, Dong, Anning, Jiang, Zhangwei, Liu, Hong, Guan, Qingfeng

“…In addition, our model can effectively identify areas with unchanged land use and land use changes in residential and industrial areas at a fine scale.…”
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