197 research outputs found
The research of the drilling pipe's small-scale mode used in acoustic telemetry while drilling
The acoustic telemetry technology while drilling has a greater advantage in the transmission rate and the application of media than the commercial mud pulse mode and electromagnetic wave mode. There are limits to the existence of the periodic drill pipe acoustic transmission transmission model, which can only calculate the acoustic transmission characteristics of two kinds of periodic structures and the acoustic transmission characteristics of the composite structures with arbitrary cross section, but the variable cross-section or various special-shaped drill strings. According to the characteristics of the small scale structure of drill string, a small scale model of the drill string in the data transmission is set up by using the theory of longitudinal vibration of structures, in which the small scale vibration transfer function of cylindrical rods with different variable cross sections is analyzed. According to certain boundary conditions, the vibration transfer characteristics of drill string are obtained, and the simulation research is completed.ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π»Π΅ΠΌΠ΅ΡΡΠΈΠΈ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ Π±ΡΡΠ΅Π½ΠΈΡ ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΠ½ΡΡ
ΡΡΡΡΠΊΡΡΡ ΠΈΠΌΠ΅Π΅Ρ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²ΠΎ Π² ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΈ ΡΠΏΠΎΡΠΎΠ±Π°Ρ
ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΠ΅ΠΆΠΈΠΌΠΎΠΌ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠΉ Π²ΠΎΠ»Π½Ρ ΠΈ ΠΎΠ±ΡΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ
Π±ΡΡΠ°. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΌΠ΅ΡΠΎΠ΄Π° Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π΄Π°Π½Π½ΡΡ
Π±ΡΡΠΈΠ»ΡΠ½ΡΡ
ΡΡΡΠ±,
ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΡΡΠΊΡΡΡ ΠΈ
ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΠ½ΡΡ
ΡΡΡΡΠΊΡΡΡ ΠΏΡΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠΌ ΠΏΠΎΠΏΠ΅ΡΠ΅ΡΠ½ΠΎΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΈ Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ
ΡΠΎΡΠΌΡ ΡΠ²Π΅ΡΠ»Π°. Π ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ ΠΌΠ΅Π»ΠΊΠΎΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ Π±ΡΡΠΈΠ»ΡΠ½ΠΎΠΉ ΡΠΊΠ²Π°ΠΆΠΈΠ½Ρ
ΠΌΠΎΠ΄Π΅Π»Ρ Π±ΡΡΠΈΠ»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΆΠ½Π΅ΠΉ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠ΅ΠΎΡΠΈΠΈ ΠΏΡΠΎΠ΄ΠΎΠ»ΡΠ½ΡΡ
ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ, Π² ΠΊΠΎΡΠΎΡΠΎΠΉ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ ΠΌΠ°Π»ΡΠ΅ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΎΡΠ½ΡΠ΅ Π²ΠΈΠ±ΡΠ°ΡΠΈΠΈ ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅ΡΠΆΠ½Π΅ΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ
Linguistic Distribution-Based Optimization Approach for Large-Scale GDM With Comparative Linguistic Information: An Application on the Selection of Wastewater Disinfection Technology
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Despite the success of large language models (LLMs), the task of theorem
proving still remains one of the hardest reasoning tasks that is far from being
fully solved. Prior methods using language models have demonstrated promising
results, but they still struggle to prove even middle school level theorems.
One common limitation of these methods is that they assume a fixed theorem
library during the whole theorem proving process. However, as we all know,
creating new useful theorems or even new theories is not only helpful but
crucial and necessary for advancing mathematics and proving harder and deeper
results. In this work, we present LEGO-Prover, which employs a growing skill
library containing verified lemmas as skills to augment the capability of LLMs
used in theorem proving. By constructing the proof modularly, LEGO-Prover
enables LLMs to utilize existing skills retrieved from the library and to
create new skills during the proving process. These skills are further evolved
(by prompting an LLM) to enrich the library on another scale. Modular and
reusable skills are constantly added to the library to enable tackling
increasingly intricate mathematical problems. Moreover, the learned library
further bridges the gap between human proofs and formal proofs by making it
easier to impute missing steps. LEGO-Prover advances the state-of-the-art pass
rate on miniF2F-valid (48.0% to 57.0%) and miniF2F-test (45.5% to 47.1%).
During the proving process, LEGO-Prover also manages to generate over 20,000
skills (theorems/lemmas) and adds them to the growing library. Our ablation
study indicates that these newly added skills are indeed helpful for proving
theorems, resulting in an improvement from a success rate of 47.1% to 50.4%. We
also release our code and all the generated skills
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models
Automated theorem proving (ATP) has become an appealing domain for exploring
the reasoning ability of the recent successful generative language models.
However, current ATP benchmarks mainly focus on symbolic inference, but rarely
involve the understanding of complex number combination reasoning. In this
work, we propose TRIGO, an ATP benchmark that not only requires a model to
reduce a trigonometric expression with step-by-step proofs but also evaluates a
generative LM's reasoning ability on formulas and its capability to manipulate,
group, and factor number terms. We gather trigonometric expressions and their
reduced forms from the web, annotate the simplification process manually, and
translate it into the Lean formal language system. We then automatically
generate additional examples from the annotated samples to expand the dataset.
Furthermore, we develop an automatic generator based on Lean-Gym to create
dataset splits of varying difficulties and distributions in order to thoroughly
analyze the model's generalization ability. Our extensive experiments show our
proposed TRIGO poses a new challenge for advanced generative LM's including
GPT-4 which is pre-trained on a considerable amount of open-source formal
theorem-proving language data, and provide a new tool to study the generative
LM's ability on both formal and mathematical reasoning.Comment: Accepted by EMNLP 2023. Code is available at
https://github.com/menik1126/TRIG
Broad-Wavevector Spin Pumping of Flat-Band Magnons
We report the experimental observation of large spin pumping signals in
YIG/Pt system driven by broad-wavevector spin-wave spin current. 280 nm-wide
microwave inductive antennas offer broad-wavevector excitation which, in
combination with quasi-flatband of YIG, allows a large number of magnons to
participate in spin pumping at a given frequency. Through comparison with
ferromagnetic resonance spin pumping, we attribute the enhancement of the spin
current to the multichromatic magnons. The high efficiency of spin current
generation enables us to uncover nontrivial propagating properties in ultra-low
power regions. Additionally, our study achieves the spatially separated
detection of magnons, allowing the direct extraction of the decay length. The
synergistic combination of the capability of broad-wavevector excitation,
enhanced voltage signals, and nonlocal detection provides a new avenue for the
electrical exploration of spin waves dynamics
Label-free visualization of carbapenemase activity in living bacteria
Evaluating enzyme activity intracellularly on natural substrates is a significant experimental challenge in biomedical research. We report a labelβfree method for realβtime monitoring of the catalytic behavior of classβ
A, B, and D carbapenemases in live bacteria based on measurement of heat changes. By this means, novel biphasic kinetics for classβ
D OXAβ48 with imipenem as substrate is revealed, providing a new approach to detect OXAβ48βlike producers. This inβcell calorimetry approach offers major advantages in the rapid screening (10β
min) of carbapenemaseβproducing Enterobacteriaceae from 142 clinical bacterial isolates, with superior sensitivity (97β%) and excellent specificity (100β%) compared to conventional methods. As a general, labelβfree method for the study of living cells, this protocol has potential for application to a wider range and variety of cellular components and physiological processes
Induction of systemic and mucosal immunity against methicillin-resistant Staphylococcus aureus infection by a novel nanoemulsion adjuvant vaccine
Combinational analysis of linkage and exome sequencing identifies the causative mutation in a Chinese family with congenital cataract
Sense of belonging, international migrantsβ spending, and implications for their subjective well-being
A lack of a sense of belonging in the host country has become one of the most common challenges facing international migrants in todayβs sociopolitical environment. Our two online experiments with 881 international migrant workers in the United States jointly demonstrate that, to cope with their lack of a sense of belonging in the host country, international migrants may spend money suboptimally: more on material purchases but less on experiential and prosocial purchases. More importantly, our studies suggest that prosocial purchases are more effective than experiential purchases in increasing international migrantsβ subjective well-being. This is because prosocial purchases can lead to both relatedness need satisfaction and beneficence, with each independently contributing to international migrantsβ subjective well-being. Our research suggests that public policymakers should address the social exclusion international migrants experience when moving to a new country because it can have a negative impact on their subjective well-being. Our research further suggests that one way to mitigate social exclusion is to encourage international migrants to spend money on others rather than themselves
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