224 research outputs found
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
The purpose of sequential recommendation is to utilize the interaction
history of a user and predict the next item that the user is most likely to
interact with. While data sparsity and cold start are two challenges that most
recommender systems are still facing, many efforts are devoted to utilizing
data from other domains, called cross-domain methods. However, general
cross-domain methods explore the relationship between two domains by designing
complex model architecture, making it difficult to scale to multiple domains
and utilize more data. Moreover, existing recommendation systems use IDs to
represent item, which carry less transferable signals in cross-domain
scenarios, and user cross-domain behaviors are also sparse, making it
challenging to learn item relationship from different domains. These problems
hinder the application of multi-domain methods to sequential recommendation.
Recently, large language models (LLMs) exhibit outstanding performance in world
knowledge learning from text corpora and general-purpose question answering.
Inspired by these successes, we propose a simple but effective framework for
domain-agnostic recommendation by exploiting the pre-trained LLMs (namely
LLM-Rec). We mix the user's behavior across different domains, and then
concatenate the title information of these items into a sentence and model the
user's behaviors with a pre-trained language model. We expect that by mixing
the user's behaviors across different domains, we can exploit the common
knowledge encoded in the pre-trained language model to alleviate the problems
of data sparsity and cold start problems. Furthermore, we are curious about
whether the latest technical advances in nature language processing (NLP) can
transfer to the recommendation scenarios.Comment: 10 pages, 7 figures, 6 table
Effects of Different Selenium Levels on Gene Expression of a Subset of Selenoproteins and Antioxidative Capacity in Mice
Joint Placement Design, Admission Control, and Power Allocation for NOMA-Based UAV Systems
Energy-Efficient Power Allocation for Cooperative NOMA Systems With IBFD-Enabled Two-Way Cognitive Transmission
ICPMS-Based Specific Quantification of Phosphotyrosine: A Gallium-Tagging and Tyrosine-Phosphatase Mediated Strategy
Diagnosis and surgical management of testicular seminoma in captive giant panda (Ailuropoda melanoleuca)
A captive adult male giant panda (Guangzhou Chimelong Safari Park, CHINA) presented with azoospermia and enlarged left testicle. A tentative diagnosis of testicular neoplasia was made, and confirmed as testicular seminoma cases by testicular ultrasound, computed tomography (CT), testicular biopsy, and tumor marker examination findings. Based on the diagnostic results, the treatment of choice was surgical resection of the testicular tumor under general anesthesia. And the histopathological findings of the excised neoplasm were consistent with those of testicular seminoma. In addition, no tumor recurrence was observed after surgery, which indicates that our surgical and post-operative treatments were effective. The surgical treatment adopted in this case report is safe for patients and provides the best solution for the diagnosis and treatment of giant panda testicular seminoma. To our knowledge this is the first detailed report of surgical resection of testicular seminoma in the giant panda
CXCL12 as a Potential Hub Gene for N-Acetylcysteine Treatment of T1DM Liver Disease
The etiology of type 1 diabetes mellitus (T1DM) is intricate, leading to its classification as an autoimmune metabolic disorder. T1DM often coexists with various visceral diseases. N-acetylcysteine (NAC) is widely acknowledged for its potent antioxidant properties. Studies have demonstrated that the combination of NAC and insulin can effectively alleviate iron-induced nephropathy in T1DM and mitigate oxidative stress injury in skeletal muscle associated with the condition. However, the potential impact of NAC alone on liver disease in individuals with T1DM remains uncertain. In this study, a beagle model was established to simulate T1DM, enabling investigation into the role of NAC in liver disease using RNA-seq biogenic analysis and subsequent validation through molecular biological methods. The findings revealed suppressed expression of CXCL12 chemokine in the livers of individuals with T1DM, while treatment with NAC induced specific activation of CXCL12 within the liver affected by T1DM. These results suggest that CXCL12 may serve as a regulatory factor involved in the therapeutic effects of NAC on liver disease associated with TIDM. This discovery holds significant implications for utilizing NAC as an adjunctive therapy for managing complicated liver diseases accompanying type 1 diabetes mellitus
Microstructure and mechanical properties of Sn–58Bi eutectic alloy with Cu/P addition
Sn–(58-x) Bi–x Cu/P ternary alloys were prepared by downward continuous casting, and the microstructure of the alloy was characterized using scanning electron microscopy (SEM), x-ray diffractometry (XRD) and differential scanning calorimetry (DSC). The results show that the addition of Cu and P can refine the eutectic structure and form rod-shaped Cu _6 Sn _5 and P _3 Sn _4 phases distributed in Sn matrix. The refined eutectic structure can be observed in Sn–(58-x) Bi–x Cu/P alloys, and this results in the elongation at break increases up. In addition, the wettability of Sn–58Bi alloy increases on Cu substrate with the addition of Cu and P elements. The improvement of the wettability of Sn–58Bi alloy by the addition of Cu element can be attributed to the increase of Cu-Sn IMC nucleation and growth rate. The addition of P element in Sn–58Bi alloy can improve its anti-oxidation performance, which is beneficial to the improvement of its wettability
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