Miracle-dz/UniFAR-FTUs huggingface dataset:
A Molecular Dynamics Study of Mechanical Properties of Vertically Stacked Silicene/MoS2 van der Waals Heterostructure

Silicene is an intriguing silicon allotrope with a honeycomb lattice structure similar to graphene with slightly buckled geometry. Molybdenum disulfide (MoS2), on the other hand, is a significant 2D transition metal dichalcogenide that has demonstrated promise in a variety of applications. Van der Waals heterostructures, which are created by stacking distinct 2D crystals on top of each other, are becoming increasingly important due to their unique optoelectronic and electromechanical properties. Using molecular dynamics simulations, the mechanical characteristics of vertically stacked Silicene/MoS2 van der Waals heterostructures are examined in this study. The response and structural stability of the heterostructures at various loading orientations and temperatures are given particular attention. The research findings highlight that the fracture strength of the Silicene/MoS2 heterostructure decreases by 40% in both armchair and zigzag orientations when the temperature is raised from 100K to 600K. Furthermore, a linear decrease in Young's modulus is observed as temperature rises. It is noteworthy that the Rule of Mixture (ROM) predictions for Young's Moduli are observed to be marginally lower than the simulation results. The analyses reveal that the silicene layer fractures first under both loading directions shows crack propagation at +-60{\deg}in the armchair and predominantly perpendicular in zigzag, followed by subsequent MoS2 layer failure. The study also shows that the MoS2 layer largely determines the elastic properties of the heterostructure, whereas the silicene layer primarily dictates the failure of the heterostructure. These findings offer an in-depth understanding of the mechanical properties of Silicene/MoS2 heterostructures, with significant implications for their use in cutting-edge nanoelectronics and nanomechanical systems.
Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry

Molecular property prediction refers to the task of labeling molecules with some biochemical properties, playing a pivotal role in the drug discovery and design process. Recently, with the advancement of machine learning, deep learning-based molecular property prediction has emerged as a solution to the resource-intensive nature of traditional methods, garnering significant attention. Among them, molecular representation learning is the key factor for molecular property prediction performance. And there are lots of sequence-based, graph-based, and geometry-based methods that have been proposed. However, the majority of existing studies focus solely on one modality for learning molecular representations, failing to comprehensively capture molecular characteristics and information. In this paper, a novel multi-modal representation learning model, which integrates the sequence, graph, and geometry characteristics, is proposed for molecular property prediction, called SGGRL. Specifically, we design a fusion layer to fusion the representation of different modalities. Furthermore, to ensure consistency across modalities, SGGRL is trained to maximize the similarity of representations for the same molecule while minimizing similarity for different molecules. To verify the effectiveness of SGGRL, seven molecular datasets, and several baselines are used for evaluation and comparison. The experimental results demonstrate that SGGRL consistently outperforms the baselines in most cases. This further underscores the capability of SGGRL to comprehensively capture molecular information. Overall, the proposed SGGRL model showcases its potential to revolutionize molecular property prediction by leveraging multi-modal representation learning to extract diverse and comprehensive molecular insights. Our code is released at https://github.com/Vencent-Won/SGGRL.
Balanced and Deterministic Weight-sharing Helps Network Performance

Weight-sharing plays a significant role in the success of many deep neural networks, by increasing memory efficiency and incorporating useful inductive priors about the problem into the network. But understanding how weight-sharing can be used effectively in general is a topic that has not been studied extensively. Chen et al. [2015] proposed HashedNets, which augments a multi-layer perceptron with a hash table, as a method for neural network compression. We generalize this method into a framework (ArbNets) that allows for efficient arbitrary weight-sharing, and use it to study the role of weight-sharing in neural networks. We show that common neural networks can be expressed as ArbNets with different hash functions. We also present two novel hash functions, the Dirichlet hash and the Neighborhood hash, and use them to demonstrate experimentally that balanced and deterministic weight-sharing helps with the performance of a neural network.
The Priced Survey Methodology: Theory

In this paper, I introduce the Priced Survey Methodology (PSM), a tool designed to overcome the limitations of traditional survey methods in analyzing social preferences. The PSM's design draws inspiration from consumption choice experiments, as respondents fill out the same survey multiple times under different choice sets. I generalize Afriat's theorem and show that the Generalized Axiom of Revealed Preferences is necessary and sufficient for the existence of a concave, continuous, and single-peaked utility function rationalizing answers to the PSM. This result has two major implications. First, it is possible to measure a respondent's ideal answer to a survey using only ordinal relations between possible answers. Second, the PSM captures aspects of social preferences often overlooked in standard surveys, such as the relative importance that respondents attribute to different survey questions. I deploy a PSM measuring altruistic preferences in a sample of online participants, recover respondents' single-peaked preferences, and draw several implications.
Evaluation on the low carbon city development of Lanzhou City based on DPSIR model

Based on the DPSIR concept model,this paper constructes the evaluation index system of low carbon city of Lanzhou City.The AHP is used to determine the index weights,and the linear weighted method is also used to calculate comprehensive index value of low carbon city development of Lanzhou from 2005 to 2009.According to the relevant evaluation criteria,the results are graded to determine the low carbon city development types.The results show that from 2005 to 2009,the low carbon city development state is in the second grade and the comprehensive indicator downward overall and the development type of low carbon city transites from high carbon economy type to ultrahigh carbon economy type in Lanzhou City.On the basis of the above,the specific suggestions about low carbon city construction of Lanzhou City are put forward.
Transit times—the link between hydrology and water quality at the catchment scale

In spite of trying to understand processes in the same spatial domain, the catchment hydrology and water quality scientific communities are relatively disconnected and so are their respective models. This is emphasized by an inadequate representation of transport processes, in both catchment‐scale hydrological and water quality models. While many hydrological models at the catchment scale only account for pressure propagation and not for mass transfer, catchment scale water quality models are typically limited by overly simplistic representations of flow processes. With the objective of raising awareness for this issue and outlining potential ways forward we provide a nontechnical overview of (1) the importance of hydrology‐controlled transport through catchment systems as the link between hydrology and water quality; (2) the limitations of current generation catchment‐scale hydrological and water quality models; (3) the concept of transit times as tools to quantify transport; and (4) the benefits of transit time based formulations of solute transport for catchment‐scale hydrological and water quality models. There is emerging evidence that an explicit formulation of transport processes, based on the concept of transit times has the potential to improve the understanding of the integrated system dynamics of catchments and to provide a stronger link between catchment‐scale hydrological and water quality models. WIREs Water 2016, 3:629–657. doi: 10.1002/wat2.1155
INVARIANT FOLIATIONS FOR SYMPLECTIC TWIST MAPS OF THE ANNULUS: A CONSTRUCTION THROUGH GENERATING FUNCTIONS

For an exact symplectic twist diﬀeomorphism (ESTwD) of the 2-dimensional annulus, we prove that there is a choice of weak K.A.M. solutions u c = u ( .,c ) that depend in a continuous way on the cohomology class c . Then the graphs of c + u (cid:48) c are backward invariant pseudographs and we deduce that the Aubry-Mather sets are contained in pseudographs that are vertically ordered by their rotation numbers. In the C 0 -integrable case, we prove that u is C 1 and can be understood as a generating function. For a C 0 - integrable ESTwD, we prove the equivalence of (1) the invariant foliation is straightenable via a symplectic homeomorphism, (2) the Dynamics restricted to every leaf of the foliation is C 0 -conjugated to a rotation, (3) there exists some global C 0 Arnol’d-Liouville coordinates. We prove that every Lipschitz integrable ESTwD satisﬁes these properties. We also give a criterion for a foliation to be straightenable via a symplectic homeomorphism. We then provide examples of ‘strange’ Lipschitz foliations that cannot be straightened by a symplectic homeomorphism, and thus that are not invariant by an ESTwD, but can be invariant by an exact symplectic twist homeomorphism that is a C 1 diﬀeomorphism.
Modelling the dispersal and depositional processes of the suspended sediment in the central South Yellow Sea during the winter

The muddy area in the centre of the South Yellow Sea (SYS) is formed and characterized by fine‐grained particles since the Yellow Sea circulation system became stable before 8000 years. The distribution and thickness of the central South Yellow Sea muddy area are both updated based on the interpretation of eight high‐resolution sub‐bottom profiles in central SYS, 2012. The area mainly locates within 34.5°–36.5°N, 122°–124.5°E, showing thick in the north and west and thin in the south and east with a ‘┌’ shape. The maximum thickness is up to 11 m. Meanwhile, there appears a weak deposition belt in the transition zone between the central South Yellow Sea muddy area and the slope deposit body surrounding Shandong Peninsula. In this paper, a numerical simulation under wind‐driven circulation in winter is established to study the dispersal and depositional processes of the suspended sediment. Studies show that the presence of a weak‐current‐low‐energy area by the tide is the primary factor to control the muddy area in central South Yellow Sea with similar results to previous research, but we find that the sediment is transported by the Yellow Sea Warm Current in winter. In winter, the Yellow Sea Warm Current can carry the southern sediment into here and we believe that it is the main driving force to transport sediment into the muddy area. The weak deposit band of the simulation result and measurement matched well; it is controlled by the shear front of the Yellow Sea Warm Current and the Yellow Sea Coastal Current. The shear front plays the role of a ‘water barrier’ to prevent the sediment carried by the Yellow Sea Coastal Current spreading directly to the muddy area and the sediment carried by the Yellow Sea Warm Current spreading to the coastal zone, so the weak deposit band arose. Copyright © 2016 John Wiley & Sons, Ltd.
Factors affecting the Adriatic cyclone and associated windstorms

This paper presents results of numerical experimentation of the orographic influence of the Dinaric Alps and the Apennines and of moist processes on the Adriatic cyclone and associated windstorms. The case of 28 March 1995, characterized by an intense Adriatic cyclone and damaging windstorms, is simulated using the high-resolution hydrostatic model ALADIN. The model successfully reproduced the formation of the cyclone in the northern Adriatic and its fast movement along the basin to the south-east. The strength of associated winds, particularly severe jugo and bora along the eastern Adriatic coast, are well reproduced. Sensitivity studies confirmed that the Adriatic cyclone is an orographic lee cyclone with respect to the Dinaric Alps, although it originated as a cyclone in the lee of the Alps. The influence of the Dinaric Alps is visible in a high-low couplet over the orography due to the orographic blocking and severe winds along the coast behind the cyclone. The intensity and duration of Adriatic bora storms depend not only on a cold air supply over the Dinaric Alps but also on the lee side effects due to the mesoscale cyclone in the Adriatic sea. In addition, the appearance of the 'twin cyclone' in the Tyrrhenian sea is simulated as a realistic feature, induced by the Apennine's orography.
gOd, mOther and sOldier: A Story of Oppression, Told through the Lens of AI

ABSTRACT:The authors present gOd, mOther and sOldier—Nowhere in Somewhere Series 2022, a work that was conceptualized and created by artist Jinjoon Lee and his TX Creative Media Lab at KAIST, realized through the remote cooperation of eight local collaborators across Southeast Asia. The authors used artificial intelligence–based object detectors and sonification techniques in a work of media art to symbolize the voicelessness of those at the margins of society in Southeast Asia. These algorithms and concepts, and the work as a whole, artistically demonstrate how marginalized people are misrepresented and misunderstood when interpreted out of context.
Total Quality Management: the case of an electricity distribution company

Goal: this research aims to deploy TQM in the new customers area of an electricity distribution company, located in Campos dos Goytacazes (Rio de Janeiro), based on three management pillars: guidelines, processes and routine. Design / Methodology / Approach: the nature of this work is applied research, with a qualitative problem approach, characterized as exploratory, using case study as a technical procedure, with data collected between april and september of 2015. Results: the performed methodology allowed a reduction of both "orders after deadline" (12%) and "unproductive visits" (22%) indicators. Limitations of the investigation: the research presented limitations, first, because of the resistance of some employees during the tools implementation and second, the methodology was implemented only in a sector of the company. Practical implications: the study was based on indicators and targets already used by the company. It was proposed and implemented an anomalies analysis and tools such asthe PDCA cycle, Pareto and Ishikawa diagrams, 5W1H, and Standard Operating Procedures. Originality / Value: there is little research with emphasis on TQM, especially when referring to an analysis using three levels of management (guidelines, process and routine) in the Brazilian electricity sector.
Speeding Up Student Entrepreneurship: The Role of University Business Idea Incubators

Student entrepreneurship is becoming more relevant for universities throughout the world. Therefore, it is important to analyze the strategies and mechanisms adopted by universities to support student entrepreneurship. In this article, we analyze the mechanisms used by universities to promote student entrepreneurship through University Business Idea Incubators as part of their Third Mission. University Business Idea Incubators can act as preincubators or preaccelerators that are designed to help a growing number of university students from different backgrounds interact and develop their entrepreneurial ideas in a safe and creative environment. In such a context, we performed a cross-case study methodology on a national program that is aimed at creating Italian University Business Idea Incubators. As a result, we have identified the five key features and 12 strategies adopted by University Business Idea Incubators to cultivate student entrepreneurship. The article also presents some examples of successful business ideas developed by students as a result of their participation in University Business Idea Incubators. The obtained results also demonstrate how University Business Idea Incubators foster intellectual capital to sustain the development of an entrepreneurial mindset and competences, with the objective of favoring both the creation of concrete new ideas and of offering new challenge-based learning approaches to university students. We also offer some ideas that could be incorporated in educational policies to support university student entrepreneurship.
Information Elaboration and Coopetition: Participation in the Replacement of Legacy Systems

Legacy information system (LIS) replacement pro- jects are increasingly complex. Consequently, they require cooperation to integrate different functional knowledge to support organizational business processes. However, cooperation on cross-functional LIS replacement project teams face inherent competition for scarce resources and conflicting functional interests. The common assertion is to reduce or eliminate this competition. We suggest that the potential benefits of competition complement the known benefits of cooperation. Thus, this study explores the extent to which different configurations of simultaneous competition and cooperation (i.e., coopetition) enhance decision-making processes in the context of LIS replacement. Information elaboration theory guides decision-making in the coopetition–performance relationship. We propose a model that relates different patterns of coopetition, based on a two continua approach, to three information elaboration techniques and their impact on system design quality. We test the model using a survey administered to 161 pairs of matched IT executives and managerial leaders knowledgeable about LIS replacement. Analysis indicates that cooperation-centric coopetition (strong cooperation with some competition) best enhances decision-making processes and improves system design quality.
Inelastic Markets: The Demand and Supply of Risky Sovereign Bonds ∗

We present new evidence of downward-sloping demand curves in international sovereign-debt markets and analyze their macroeconomic implications. Our methodology exploits high-frequency bond price movements around index rebalancings to identify exogenous shifts in the supply of sovereign bonds. We find that bond prices significantly respond to these rebalancings. For risky bonds, part of this response may be explained by changes in default risk and we cannot directly map these estimates into a demand elasticity. We use these price reactions to discipline a sovereign-debt model and we use the model to back out a demand elasticity that isolates the effects of default risk. Using the calibrated model, we show that a downward-sloping demand acts as a commitment device that reduces debt issuances and default risk
Diagnosing the interstellar medium of galaxies with far-infrared emission lines

Context. Gas cooling processes in the interstellar medium (ISM) are key to understanding how star formation occurs in galaxies. Far-infrared (FIR) ﬁne-structure emission lines can be used to infer gas conditions and trace di ﬀ erent phases of the ISM. Aims. We model eight of the most important FIR emission lines and explore their variation with star formation rate (SFR) out to z = 6 using cosmological hydrodynamical simulations. In addition, we study how di ﬀ erent physical parameters, such as the interstellar radiation ﬁeld (ISRF) and metallicity, impact the FIR lines and line ratios. Methods. We implemented a physically motivated multi-phase model of the ISM by post-processing the E agle cosmological simulation and using C loudy look-up tables for line emissivities. In this model we included four phases of the ISM: dense molecular gas, neutral atomic gas, di ﬀ use ionised gas (DIG), and H ii regions. Results. Our model shows reasonable agreement (to ∼ 0 . 5dex) with the observed line luminosity–SFR relations up to z = 6 in the FIR lines analysed. For ease of comparison, we also provide linear ﬁts to our model results. Our predictions also agree reasonably well with observations in diagnostic diagrams involving various FIR line ratios. Conclusions. We ﬁnd that [C ii ] is the best SFR tracer of the FIR lines even though it arises from multiple ISM phases, while [O iii ] and [N ii ] can be used to understand the DIG–H ii balance in the ionised gas. In addition, line ratios such as [C ii ] / [O iii ] and [N ii ] / [O i ] are useful for deriving parameters such as ISRF, metallicity, and speciﬁc SFR. These results can help interpret the observations of the FIR lines from the local Universe to high redshifts.
Continuing education tools in times of Covid-19 pandemic

Introduction: Continuing health education encompasses various training courses aimed at enhancing team capabilities and improving work quality, including ongoing educational initiatives focused on patient care and worker health prevention. Objective: This study aimed to identify the strategies employed during the COVID-19 pandemic to implement continuing health education actions. Method: An integrative literature review was conducted, utilizing online platforms such as Scielo, Lilacs, and Medline. Results: The COVID-19 pandemic brought about significant changes in healthcare delivery dynamics, necessitating the expansion of care in a planned and organized manner. The literature review revealed the adoption of various continuing education strategies, such as leveraging virtual environments for multidisciplinary team training, implementing daily training sessions on hand hygiene at designated locations, developing booklets and informative videos about COVID-19, and emphasizing the proper use and effectiveness of personal protective equipment (PPE) among healthcare professionals. Considerations : The COVID-19 pandemic presented significant challenges and the need for adapting to new demands. Therefore, continuing education has become essential, with the utilization of technological and interactive tools being among the most widely employed approaches.
First flower inclusion and fossil evidence of Cryptocarya (Laurales, Lauraceae) from Miocene amber of Zhangpu (China)

Lauraceae have one of the oldest fossil records of angiosperms with the earliest known evidence from the mid-Cretaceous. However, most of these records are based on leaves, especially from the Cenozoic of Asia, which are often challenging to assign to extinct or extant genera or species. In contrast, fossils of reproductive organs are more informative, but remain scarce. We here described the first Cenozoic Lauraceae flower of Asia and confirmed the presence of Cryptocarya in the Miocene Zhangpu flora (Fujian Province, south-eastern China) based on an amber inclusion. We scanned the specimen using synchrotron radiation-based micro-computed tomography (SRμCT) and then compared the fossil with extant flowers of the genus. The present fossil flower is small, bisexual, and polysymmetric, with a whorled and trimerous perianth and androecium along with a hypanthium around the gynoecium. The perianth comprises six undifferentiated tepals, the androecium consists of nine stamens and three innermost staminodes, and the gynoecium of a single carpel with a superior, unilocular (and uniovulate) ovary. Our study also shows that the fossil shares an unusual position of the typical staminal glands and a short androecial tube on the rim of the hypanthium with at least one extant Australian species of Cryptocarya , which have not been reported before. Nowadays, Lauraceae are still present in tropical to sub-tropical regions, mostly in American and Asian rainforests. The discovery of many Lauraceae leaf fossils in Zhangpu, as well as the amber flower of this study, is consistent with the current reconstruction of the amber source environment as a megathermal seasonal rainforest during the Mid-Miocene.