Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits

Web-based applications such as chatbots, search engines and news recommendations continue to grow in scale and complexity with the recent surge in the adoption of LLMs. Online model selection has thus garnered increasing attention due to the need to choose the best model among a diverse set while balancing task reward and exploration cost. Organizations faces decisions like whether to employ a costly API-based LLM or a locally finetuned small LLM, weighing cost against performance. Traditional selection methods often evaluate every candidate model before choosing one, which are becoming impractical given the rising costs of training and finetuning LLMs. Moreover, it is undesirable to allocate excessive resources towards exploring poor-performing models. While some recent works leverage online bandit algorithm to manage such exploration-exploitation trade-off in model selection, they tend to overlook the increasing-then-converging trend in model performances as the model is iteratively finetuned, leading to less accurate predictions and suboptimal model selections. In this paper, we propose a time-increasing bandit algorithm TI-UCB, which effectively predicts the increase of model performances due to finetuning and efficiently balances exploration and exploitation in model selection. To further capture the converging points of models, we develop a change detection mechanism by comparing consecutive increase predictions. We theoretically prove that our algorithm achieves a logarithmic regret upper bound in a typical increasing bandit setting, which implies a fast convergence rate. The advantage of our method is also empirically validated through extensive experiments on classification model selection and online selection of LLMs. Our results highlight the importance of utilizing increasing-then-converging pattern for more efficient and economic model selection in the deployment of LLMs.Comment: Accepted by WWW'24 (Oral

Projected increases in emissions of high global warming potential fluorinated gases in China

China is the largest greenhouse gas emitter in the world and has committed to mitigating global warming through achieving carbon neutrality by 2060. However, detailed information on China’s historical and projected emissions of fluorinated greenhouse gases, with high global warming potentials, is lacking. Here we establish a comprehensive and up-to-date inventory of China’s fluorinated greenhouse gas emissions and find that they show an accelerating growth rate, increasing from 5.5 to 221 million tons CO2-equivalent per year from 1990 to 2019. China has become the world’s largest emitter of fluorinated greenhouse gases and contributed 93% of the global emission increase during the period 1990−2019. We find that total emissions of fluorinated greenhouse gases from China are projected to increase to 506–1356 million tons CO2-equivalent per year in 2060 if there is no regulation, which is larger than the projected CO2 emissions under China’s carbon neutrality commitment for 2060

Prevalence of cerebral palsy comorbidities in China: a systematic review and meta-analysis

ObjectivesThis systematic review aimed to comprehensively understand the comorbidity of cerebral palsy (CP) in China.MethodsWe searched through databases in both Chinese and English until December 2022 to gather cross-sectional studies on the comorbidity of CP in China. After two reviewers independently screened the articles, collected the data, and assessed the bias risk, a meta-analysis was conducted using the Stata 17.0 software.ResultsA total of 73 articles were included. Of these, 16 articles reported total comorbidity, with a prevalence of 79.7% (95% CI: 73.8–85.7%); 56 articles reported epilepsy, with a prevalence of 17.9% (95% CI: 15.4–20.4%); 48 articles reported intellectual disability, with a prevalence of 58.0% (95% CI: 51.8–64.3%); 32 articles reported speech disorders, with a prevalence of 48.0% (95% CI: 41.6–54.4%); 41 articles reported hearing disorders, with a prevalence of 17.2% (95% CI: 13.0–21.4%); and 35 articles reported vision disorders, with a prevalence of 23.1% (95% CI: 16.3–29.8%). The topographical type of CP was the primary source of heterogeneity in the prevalence of epilepsy. Diagnostic criteria for CP, clinical type of CP, GMFCS, publishing time, and topographical type of CP were the primary sources of heterogeneity in the prevalence of intellectual disability. Clinical type of CP and topographical type were the primary sources of heterogeneity in the prevalence of speech disorders. Finally, the region was the primary source of heterogeneity in the prevalence of hearing disorders.ConclusionThe prevalence of comorbidities in CP is high in China. Comorbidities are related to the characteristics, severity, and risk factors of brain insult and have a particular relationship with regional economic development and medical and health levels

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

A multimodal cell census and atlas of the mammalian primary motor cortex

ABSTRACT We report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex (MOp or M1) as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties, and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Together, our results advance the collective knowledge and understanding of brain cell type organization: First, our study reveals a unified molecular genetic landscape of cortical cell types that congruently integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a unified taxonomy of transcriptomic types and their hierarchical organization that are conserved from mouse to marmoset and human. Third, cross-modal analysis provides compelling evidence for the epigenomic, transcriptomic, and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types and subtypes. Fourth, in situ single-cell transcriptomics provides a spatially-resolved cell type atlas of the motor cortex. Fifth, integrated transcriptomic, epigenomic and anatomical analyses reveal the correspondence between neural circuits and transcriptomic cell types. We further present an extensive genetic toolset for targeting and fate mapping glutamatergic projection neuron types toward linking their developmental trajectory to their circuit function. Together, our results establish a unified and mechanistic framework of neuronal cell type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties

Revealing the global emission gaps for fully fluorinated greenhouse gases

Abstract In response to the global trend of climate change, it is important to accurately quantify emissions of fully fluorinated greenhouse gases (FFGHGs, referring to SF6/NF3/CF4/C2F6/C3F8/c-C4F8 here). Atmospheric observation-based top-down methods and activity-based bottom-up methods are usually used together to estimate FFGHG emissions at the global and regional levels. In this work, emission gaps at global and regional levels are discussed among top-down studies, between the top-down and bottom-up FFGHG emissions, and among bottom-up emissions. Generally, trends and magnitudes of individual FFGHG emissions among top-down estimates are close to each other within the uncertainties. However, global bottom-up inventories show discrepancies in FFGHG emissions among each other in trends and magnitudes. The differences in emission magnitudes are up to 93%, 90%, 88%, 83%, 87%, and 85% for SF6, NF3, CF4, C2F6, C3F8, and c-C4F8, respectively. Besides, we reveal the insufficient regional TD studies and the lack of atmospheric observation data/stations especially in areas with potential FFGHG emissions. We make recommendations regarding the best practices for improving our understanding of these emissions, including both top-down and bottom-up methods

The Effect of Combining Interferon-a and Gefitinib in Human Colon Cancer Cell Lines

Background and Aims: Interferon-α (IFN-α) treatment is associated with up-regulation of epidermal growth factor receptor (EGFR) expression and marked growth inhibition of colon cancer cell lines. We aimed to determine the effect of combining IFN-α and gefitinib in the growth of human colon cancer cell lines. Methods: Two human colon cancer cell lines SW480 and LOVO were treated with IFN-α alone or gefitinib alone or IFN-α plus gefitinib. Proliferation of colon cancer cells was measured by methyl thiazolyl tetrazolium (MTT) assay; the apoptosis rate was analysed by flow cytometry (FCM). The expression of XIAP, XAF1 mRNA was detected by RT-PCR and the expression of XIAP, XAF1 protein was detected by western blotting. Results: Methyl thiazolyl tetrazolium showed that IFN-α, gefitinib and IFN-α plus gefitinib significantly inhibited SW480 and LOVO cells in a dose-dependent manner (p < 0.05). The FCM revealed that IFN-α, gefitinib and IFN-α plus gefitinib could markedly upgrade the apoptosis rate (p < 0.05). The expression of XIAP mRNA down-regulated markedly (p < 0.05) while the expression of XAF1 mRNA up-regulated significantly (p < 0.05). The expression of XIAP protein was down-regulated markedly (p < 0.05) while the expression of XAF1 protein was up-regulated significantly (p < 0.05). Conclusion: IFN-α promotes the antiproliferaative effect of gefitinib on human colon cancer cell lines and the mechanism may be related to up-regulation expression of EGFR by IFN-α. Keywords: Apoptosis, gefitinib, human colon cancer cells, Interferon-α "El efecto de combinar el interferón a y el gefitinib en las líneas celulares del cáncer de colon humano" RESUMEN Antecedentes y Objetivos: El tratamiento con interferón α (IFN-α) se halla asociado con la regulación por incremento de la expresión del receptor del factor de crecimiento epidérmico y la acentuada inhibición del crecimiento de las líneas celulares del cáncer colorrectal. El presente trabajo tuvo por objetivo determinar el efecto que se produce al combinar el IFN-α y el gefitinib en el crecimiento de las líneas celulares del cáncer de colon. Métodos: Dos líneas celulares de cáncer del colon en humanos – SW480 y LOVO – fueron tratadas con IFN-α solamente, gefitinib solamente, o IFN-α más gefitinib. La proliferación de las células cancerosas del colon se midió mediante ensayo de metil tiazolil tetrazolio (MTT); la tasa de apoptosis se analizó mediante citometría de flujo (CMF); la expresión de XIAP/XAF1 mRNA fue detectada mediante RT-PCR y la expresión de la proteína XIAP/XAF1 fue detectada mediante inmunoblot (western blot). Resultados: El MTT mostró que el IFN-α, el gefitinib, y el IFN-α más gefitinib inhibían de forma significativa las células SW480 y LOVO en dependencia de la dosis (p < 0.05). La CMF reveló que el IFN-α, el gefitinib, y el IFN-α más gefitinib podían aumentar notablemente la tasa de apoptosis (p < 0.05). La expresión de XIAP mRNA tuvo una marcada regulación por decremento (p < 0.05) mientras que la expresión de XAF1 mRNA tuvo una significativa regulación por incremento (p < 0.05); la expresión de la proteína XIAP fue notablemente regulada por decremento (p < 0.05) mientras que la expresión de la proteína XAF1 fue regulada por incremento de manera significativa (p < 0.05). Conclusión: El IFN-α promueve el efecto antiproliferativo del gefitinib sobre las líneas celulares del cáncer colorrectal, y el mecanismo puede hallarse relacionado con la expresión de la regulación por incremento del EGFR mediante el IFN-α. Palabras claves: Apoptosis, gefitinib, células del cáncer de colon humano, interferón

Association between E469K polymorphism in the ICAM1 gene and the risk of diabetic nephropathy: a meta-analysis

Abstract Background Inflammation may be a key pathophysiological mechanism in diabetic nephropathy (DN). Intercellular adhesion molecule 1 (ICAM1) is an acute phase marker of inflammation. ICAM1 rs5498 has been reported to be associated with the risk of DN. However, the previous findings were conflicting due to the limited sample sizes, different methodologies and ethnicities. Therefore, this study aimed to investigate the genetic association between ICAM1 rs5498 and the risk of DN. Methods Two investigators independently searched the studies from the databases PubMed, Web of Science, the Cochrane Library, Chinese National Knowledge Infrastructure (CNKI) and Embase. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the associations. Results No significant association was detected between ICAM1 rs5498 and DN susceptibility in allelic and recessive models (p > 0.05). However, significant reduction of frequencies of the dominant model of ICAM1 rs5498 was only detected in the Caucasian subgroup (OR = 0.80; 95% CI = [0.65, 0.99], p = 0.04) and type 1 diabetes mellitus subgroup (OR = 0.80; 95% CI = [0.65, 0.99], p = 0.04). Conclusions Thus, ICAM1 rs5498 might be a risk factor for DN in Caucasians and type 1 diabetes mellitus patients, which suggested that ICAM1 rs5498 might help in early diagnosis and prevention of this disease. Further studies were needed to clarify the biochemical function and pathological role of ICAM1 rs5498 in the risk of DN

Periodic Monitoring and Filtering Suppression of Signal Interference in Mine 5G Communication

Diverse IoT applications, such as unmanned driving, intelligent video, unmanned working face, industrial control, and intelligent robot inspection, are the key technologies in the field of intelligent mines. In order to fully meet the requirements of underground IoT systems of high bandwidth, low latency, and massive connections, it is necessary to study 5G technologies suitable for underground environments to achieve effective deployment in mines. In key areas, such as main transport roadways, fully mechanized mining faces, and underground substations, both spurs and crosstalk in the frequency domain are the dominant factors affecting the stability and reliability of 5G signals. For the purpose of improving the performance of mine 5G, a fusion anti-interference scheme is designed here. Based on a deep complex network and blind source separation, periodic monitoring and filtering suppression of signal interference can be achieved. The test results show that the frequency domain spurs&rsquo; suppression capability of the proposed method is 20% higher than that of the traditional equalization method. For frequency domain crosstalk, 90% interference elimination could be achieved by the proposed method without additional delays when compared with the conventional blind source separation. The high-bandwidth and low-latency characteristics of 5G communication can be guaranteed by this method