LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data

Recently, deception detection on human videos is an eye-catching techniques and can serve lots applications. AI model in this domain demonstrates the high accuracy, but AI tends to be a non-interpretable black box. We introduce an attention-aware neural network addressing challenges inherent in video data and deception dynamics. This model, through its continuous assessment of visual, audio, and text features, pinpoints deceptive cues. We employ a multimodal fusion strategy that enhances accuracy; our approach yields a 92\% accuracy rate on a real-life trial dataset. Most important of all, the model indicates the attention focus in the videos, providing valuable insights on deception cues. Hence, our method adeptly detects deceit and elucidates the underlying process. We further enriched our study with an experiment involving students answering questions either truthfully or deceitfully, resulting in a new dataset of 309 video clips, named ATSFace. Using this, we also introduced a calibration method, which is inspired by Low-Rank Adaptation (LoRA), to refine individual-based deception detection accuracy.Comment: 10 pages, 9 figure

ENISLE: an intuitive heuristic nearly optimal solution for mincut and ratio mincut partitioning

[[abstract]]Mincut partitioning is to minimize the total cuts of the edges by the partitioning of nodes into two sets. The proposed method, Edge-Node Interleaved Sort for Leaching and Envelop (ENISLE) algorithm, not only uses node information but also uses edge information. It is simple, but works effectively, and has never appeared in any earlier literature. It can soon obtain an intuitive heuristic nearly optimal solution for mincut and ratio mincut partitioning and, at the same time, is very suitable for EDA usage.[[conferencetype]]國際[[conferencedate]]20010506~20010509[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Syndey, NSW, Australi

Exposure of the Hidden Anti-Ferromagnetism in Paramagnetic CdSe:Mn Nanocrystals

We present theoretical and experimental investigations of the magnetism of paramagnetic semiconductor CdSe:Mn nanocrystals and propose an efficient approach to the exposure and analysis of the underlying anti-ferromagnetic interactions between magnetic ions therein. A key advance made here is the build-up of an analysis method with the exploitation of group theory technique that allows us to distinguish the anti-ferromagnetic interactions between aggregative Mn2+ ions from the overall pronounced paramagnetism of magnetic ion doped semiconductor nanocrystals. By using the method, we clearly reveal and identify the signatures of anti-ferromagnetism from the measured temperature dependent magnetisms, and furthermore determine the average number of Mn2+ ions and the fraction of aggregative ones in the measured CdSe:Mn nanocrystals.Comment: 26 pages, 5 figure

Study of muon tomographic imaging for high Z material detection with a Micromegas-based tracking system

A high spatial resolution tracking system was setup with the Micro-mesh gaseous structure (Micromegas) detectors in order to study the muon tomographic imaging technique for nuclear threat detection. 6 layers of 90 mm $\times$ 90 mm one-dimensional readout Micromegas were used to construct a tracking system and the imaging test using some metallic bars was performed with cosmic ray muons. A two-dimensional imaging of the test object was presented with a newly proposed ratio algorithm

Protective Mechanism of Luteinizing Hormone and Follicle-Stimulating Hormone Against Nicotine-Induced Damage of Mouse Early Folliculogenesis

Previous studies have shown that nicotine could impair the germ cell cyst breakdown and the primordial follicle assembly by autophagy. In this paper, we discovered that luteinizing hormone (LH) and follicle-stimulating hormone (FSH) could counteract the damage caused by nicotine of mouse germ cell cyst breakdown. The neonatal mice were separately intraperitoneally injected with nicotine, nicotine plus LH, nicotine plus FSH, and saline (control) for 4 days. Compared with the nicotine group, the quality of oocytes and the number of follicles were remarkably increased in the nicotine plus LH group or nicotine plus FSH group. LH and FSH could alleviate nicotine-induced oocyte autophagy by different pathways. LH reduced the nicotine-induced autophagy by restoring the phosphorylation level of adenosine 5 '-monophosphate-activated protein kinase alpha-1, while FSH by downregulating the phosphorylation level of Forkhead box class O 1. In addition, in a subsequent study of 6-week mice in different treated groups, we found that LH and FSH supplementation significantly improved normal maturation rates, fertilization rates, and embryo's developmental potential of oocytes in oocytes exposed to nicotine. Taken together, these results suggested that LH and FSH could counteract the damage caused by nicotine and finally ensure normal germ cell cyst breakdown and early embryo development

Fossil Seed from the Miocene Shihti Formation of Taiwan

A compressed fossil seed, described as Carpolithes sp., is found in the coal-bearing Miocene Shihti Formation from the Lifeng coal mine, Sanshia District of the New Taipei City. The fossil is generally rounded with a diameter of ca. 10 mm in lateral view. The anatomical features of the testa epidermal cells were observed using anatomical analysis. The anatomical features of the megafossil organ from the Formation are reported for the first time