TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Large Language Models (LLMs) exhibit impressive reasoning and data augmentation capabilities in various NLP tasks. However, what about small models? In this work, we propose TeacherLM-7.1B, capable of annotating relevant fundamentals, chain of thought, and common mistakes for most NLP samples, which makes annotation more than just an answer, thus allowing other models to learn "why" instead of just "what". The TeacherLM-7.1B model achieved a zero-shot score of 52.3 on MMLU, surpassing most models with over 100B parameters. Even more remarkable is its data augmentation ability. Based on TeacherLM-7.1B, we augmented 58 NLP datasets and taught various student models with different parameters from OPT and BLOOM series in a multi-task setting. The experimental results indicate that the data augmentation provided by TeacherLM has brought significant benefits. We will release the TeacherLM series of models and augmented datasets as open-source.Comment: 5 figures, 15 page

The direct and mediating effects of cognitive impairment on the occurrence of falls: a cohort study based on community-dwelling old adults

BackgroundCognitive impairment has been reported to be associated with falls in older adults. However, the complex relationship among falls, cognitive impairment and its associated factors, which could be targeted with specific interventions, remains to be elucidated. This study aimed to examine the direct effects of cognitive impairment on falls, to identify the factors associated with cognitive impairment and to explore the mediation role of cognitive impairment in the association of fall with cognition related factors.MethodsThis 1-year follow-up cohort study enrolled old adults aged 60  years or over. Information about demographic and anthropometric characteristics, fall outcomes, function and nutritional status were collected through face-to-face interview. Cognitive function was evaluated by the Montreal Cognitive Assessment (MoCA). Multivariable regression analyses were used to test the association between cognitive impairment and falls and to identify the factors related to cognitive impairment. Additionally, we conduct causal mediation analyses to estimate the mediation effects of cognitive impairment in the pathways of fall occurrence.ResultsOf the 569 participants included in this study, 366 (64.32%) had cognitive impairment, 96 (16.87%) had fall history in the past 1  year, 81 (14.24%) experienced fall and 47 (8.26%) received treatment because of falling during the 1-year follow-up. The association between cognitive impairment and 1-year fall risk was confirmed after adjusting for multiple covariates [odds ratio (OR):2.03, 95% confidence interval (CI): 1.13–3.80]. IADL disability, depression and low grip strength were associated with a higher prevalence of cognitive impairment. While overweight, higher education and higher income level were found to be related to a lower risk of cognitive impairment. Among these associated factors, cognitive impairment mediated the positive association of falling with IADL ability and depression, and a negative relationship with education and income level.ConclusionOur study not only confirmed the direct influence of cognitive impairment on fall risk in older adults, but also suggested a mediating role that cognitive impairment played in the pathways of fall occurrence. Our finding could help develop more specific interventions for fall prevention

Sec61β facilitates the maintenance of endoplasmic reticulum homeostasis by associating microtubules

Abstract Sec61β, a subunit of the Sec61 translocon complex, is not essential in yeast and commonly used as a marker of endoplasmic reticulum (ER). In higher eukaryotes, such as Drosophila, deletion of Sec61β causes lethality, but its physiological role is unclear. Here, we show that Sec61β interacts directly with microtubules. Overexpression of Sec61β containing small epitope tags, but not a RFP tag, induces dramatic bundling of the ER and microtubule. A basic region in the cytosolic domain of Sec61β is critical for microtubule association. Depletion of Sec61β induces ER stress in both mammalian cells and Caenorhabditis elegans, and subsequent restoration of ER homeostasis correlates with the microtubule binding ability of Sec61β. Loss of Sec61β causes increased mobility of translocon complexes and reduced level of membrane-bound ribosomes. These results suggest that Sec61β may stabilize protein translocation by linking translocon complex to microtubule and provide insight into the physiological function of ER-microtubule interaction

The composition of a protein aggregate modulates the specificity and efficiency of its autophagic degradation

<p>The mechanism underlying autophagic degradation of a protein aggregate remains largely unknown. A family of receptor proteins that simultaneously bind to the cargo and the Atg8 family of autophagy proteins (such as the MAP1LC3/LC3 subfamily) has been shown to confer cargo selectivity. The selectivity and efficiency of protein aggregate removal is also modulated by scaffold proteins that interact with receptor proteins and ATG proteins. During <i>C. elegans</i> embryogenesis, autophagic clearance of the cargoes PGL-1 and PGL-3 requires the receptor protein SEPA-1 and the scaffold protein EPG-2. SEPA-1 and EPG-2 also form aggregates that are degraded by autophagy. Here we investigated the effect of composition and organization of PGL granules on their autophagic degradation. We found that depletion of PGL-1 or PGL-3 facilitates the degradation of SEPA-1 and EPG-2. Removal of EPG-2 is also promoted when SEPA-1 is absent. Depletion of PGL-1 or PGL-3 renders the degradation of SEPA-1 independent of EPG-2. We further showed that overexpression of SEPA-1 or EPG-2 as well as SQST-1 or EPG-7 (scaffold protein), which belong to different classes of aggregate, has no evident effect on the degradation of the other type. Our results indicate that the composition and organization of protein aggregates provide another layer of regulation to modulate degradation efficiency.</p

American College of Radiology thyroid imaging report and data system combined with K-RAS mutation improves the management of cytologically indeterminate thyroid nodules.

We investigated whether use of American College of Radiology thyroid imaging report and data system (ACR TIRADS) in combination with K-RAS mutation status may facilitate risk stratification of patients with cytological Bethesda Category III and IV thyroid nodules. Ultrasonographic, cytological, and histopathological diagnoses were retrospectively correlated with K-RAS mutation status in a series of 43 cytologically indeterminate thyroid nodules (CITNs) that were referred for surgical excision. K-RAS mutations were detected in 8/43 (18.6%) fine-needle aspiration (FNA) samples as against 11/43 (25.6%) surgical specimens. ACR TIRADS level (TR) TR3 lesions had a malignancy risk of 40%; the K-RAS mutation rate in FNA samples and surgical specimens of category TR3 lesions was 40% and 60%, respectively. K-RAS mutation-positive malignancy was significantly more frequently detected in follicular neoplasm/suspicious for follicular neoplasm (FN/SFN) lesions than that in atypia or follicular lesion of undetermined significance (AUS/FLUS) (P<0.01). Combined use of ACR TIRADS (TR5 as the diagnostic threshold) and K-RAS mutation status helped identify 83.3% (10/12) malignant nodules (58.6% specificity, 45.5% positive predictive value, 89.5% negative predictive value, and 65.9% accuracy). CITNs with ACR TIRADS category TR3 showed an unexpectedly high risk of malignancy. K-RAS mutation-positive FN/SFN nodules have a 50% risk of malignancy and surgery should be recommended. Combined use of ACR TIRADS and K-RAS mutation may facilitate risk-stratification of patients with CITNs. The high negative predictive value (NPV) for malignancy seems sufficient to allow conservative management of patients with active surveillance

Electrochemical nitrate removal by magnetically immobilized nZVI anode on ammonia-oxidizing plate of RuO2–IrO2/Ti

Ammonium as the major reduction intermediate has always been the limitation of nitrate reduction by cathodic reduction or nano zero-valent iron (nZVI). In this work, we report the electrochemical nitrate removal by magnetically immobilized nZVI anode on RuO2–IrO2/Ti plate with ammonia-oxidizing function. This system shows maximum nitrate removal efficiency of 94.6% and nitrogen selectivity up to 72.8% at pH of 3.0, and it has also high nitrate removal efficiency (90.2%) and nitrogen selectivity (70.6%) near neutral medium (pH = 6). As the increase of the applied anodic potentials, both nitrate removal efficiency (from 27.2% to 94.6%) and nitrogen selectivity (70.4%–72.8%) increase. The incorpration of RuO2–IrO2/Ti plate with ammonia-oxidizing function on the nZVI anode enhances the nitrate reduction. The dosage of nZVI on RuO2–IrO2/Ti plate (from 0.2 g to 0.6 g) has a slight effect (the variance is no more than 10.0%) on the removal performance. Cyclic voltammetry, Tafel analysis and electrochemical impedance spectroscopy (EIS) were further used to investigate the reaction mechanisms occurring on the nZVI surfaces in terms of CV curve area, corrosion voltage, corrosion current density and charge-transfer resistance. In conclusion, high nitrate removal performance of magnetically immobilized nZVI anode coupled with RuO2–IrO2/Ti plate may guide the design of improved electrochemical reduction by nZVI-based anode for practical nitrate remediation