Miracle-dz/UniFAR-FTUs huggingface dataset:
Permeability Evolution of an Intact Marble Core during Shearing under High Fluid Pressure

The progressive shear failure of a rock mass under hydromechanical coupling is a key aspect of the long-term stability of deeply buried, high fluid pressure diversion tunnels. In this study, we use experimental and numerical analysis to quantify the permeability variations that occur in an intact marble sample as it evolves from shear failure to shear slip under different confining pressures and fluid pressures. The experimental results reveal that at low effective normal stress, the fracture permeability is positively correlated with the shear displacement. The permeability is lower at higher effective normal stress and exhibits an episodic change with increasing shear displacement. After establishing a numerical model based on the point cloud data generated by the three-dimensional (3D) laser scanning of the fracture surfaces, we found that there are some contact areas that block the percolation channels under high effective stress conditions. This type of contact area plays a key role in determining the evolution of the fracture permeability in a given rock sample.
Workplace Spirituality as Mediation of Spiritual Leadership to Affective Commitment

This study aims to analyze the effect of spiritual leadership on affective commitment with workplace spirituality as a mediating variable. The subjects in this study were employees of the inpatient section who worked at Djojonegoro General Hospital, Temanggung. In this study, the sample involved 71 respondents. The data analysis employed path analysis. The study results revealed that spiritual leadership positively and significantly affected workplace spirituality. Spiritual leadership had a significant impact on affective commitment. Besides, workplace spirituality significantly influenced affective commitment. Furthermore, this study successfully confirms workplace spirituality's mediating effect in the relationship between spiritual leadership and affective commitment.
Decentralized Privacy-Preserving Fair Exchange Scheme for V2G Based on Blockchain

With the fast development of the electric vehicle (EV) technology, EVs are expected to be the mainstream in future. The large number of EVs facilitate development of the emerging vehicle-to-grid (V2G) technology, which realizes two-way electricity flows between EVs and the power grid. How to achieve fairness and privacy for EVs during electricity/service exchanges remains a challenging problem for V2G. In this article, we propose a privacy-preserving fair exchange scheme V2GEx for V2G based on the blockchain. V2GEx is composed of an extended blockchain that supports zero-knowledge funds, a fair exchange smart contract based on the hashchain micropayment mechanism, and a privacy-preserving protocol for V2G. We further propose a simpler and more efficient scheme called Uni-V2GEx, which preserves privacy for only one party. We also provide a rigorous security proof under the universal composability (UC) model to prove V2GEx's security. To evaluate its efficiency, we implement V2GEx and conduct comprehensive experiments to test its performance in terms of computation cost and processing delay. The experiment results show that V2GEx is highly efficient in that verification of V2GEx transactions costs only 20 ms and the average transaction processing latency is around 6 seconds in a 200-node blockchain network.
Biodegradable Synthetic Polymers in Textiles – What Lies Beyond PLA and Medical Applications? A Review.

Biodegradable polymers are currently discussed for applications in different fields and are becoming of increasing interest in textile research. While a plethora of work has been done for PLA in medical textiles, other biodegradable polymers and their textile application fields are studied less often, presumably due to higher costs and fewer market opportunities. However, some are emerging from research to pilot scale, and are already utilized commercially in packaging and other sectors but not, unfortunately, in textiles. The commercialisation of such polymers is fuelled by improved biotechnological production processes, show¬ing that textile applications are increasingly conceivable for the future. Additionally, commonly accepted definitions for biodegradability are probably misleading, if they are used to estimate the environmental burden of waste management or recycling of such materials. In this review, the current state of research in the field of biodegradable polymers for the application in textile materials is presented to identify emerging developments for new textile applications. It was clearly seen that PLA is most dominant in that field, while others facilitate new options in the future. The production costs of raw materials and the current patent situation are also evaluated. A special focus is placed on fibre raw materials, coatings, and additives for clothing and technical textiles. Fibre-reinforced composites are excluded, since polymers applied for the matrix component require very different properties compared to the textile materials. This represents a topic to be discussed separately. As a result, these new biodegradable polymers might serve as interesting coating materials for textiles that seem to sneak on to the textile market, as the patent search for such coating formulations suggests. Moreover, new biodegradable fibrous materials for clothing applications can be suggested, but some material properties must be addressed to render them processable on common textile machines.
Optimizing Energy Consumption of Mobile Games

Games are energy-intensive applications on mobile devices. Optimizing the energy efficiency of games is hence critical for battery-limited mobile devices. Although the advent of energy-aware scheduling (EAS) integrated in recent devices has provided opportunities for improved energy management, the framework is not specifically tuned for game applications. In this paper, we aim to improve the energy efficiency of game applications running on EAS-enabled mobile devices. To this end, we first analyze the functional characteristics of games, and investigate the source of the energy inefficiency. We then propose a scheme, called System-level Energy-optimization for Game Applications (SEGA), to improve the energy efficiency of games. SEGA governs CPU and GPU power consumption in a tightly coupled manner by employing three key techniques: (1) Lsync-aware GPU DVFS governor, (2) adaptive capacity clamping, and (3) on-demand touch boosting. We implemented SEGA on the latest Android-based smartphones. The evaluation results for 23 popular games showed that SEGA reduced the energy consumption of the Google Pixel 2 XL and Samsung Galaxy S9 Plus smartphones, at the device level, by 6.1–22.3 and 4.0–11.7 percent, respectively, with a quality of service (QoS) degradation of 1.1 and 0.5 percent, on average.
Photonic contacting of gas–liquid phases in a falling film microreactor for continuous-flow photochemical catalysis with visible light

A microstructured falling film reactor was applied to the dye-sensitized photochemical conversion of 1,5-dihydroxynaphthalene to juglone. This continuous-flow microreactor enables the efficient contacting of a gas and a liquid phase in combination with external irradiation by high-power LED arrays offering various wavelengths. Two sensitizers were used for the photochemical in situ generation of singlet oxygen as key step in the synthesis of the natural product juglone. The photochemical process was investigated according LED wavelength, LED power, oxygen partial pressure, reactor architecture, substrate concentration and flow rate, and optimized to a conversion of X = 97% with 99% selectivity. Based on the experimental results process parameters like quantum efficiency, productivity and space time yield were calculated and used for the evaluation of the photochemically catalyzed synthesis of juglone in continuous-flow mode.
Multivariate analysis of the dominant and sub-dominant epipelic diatoms and water quality data from South African rivers

Data are presented on the distribution of the dominant and sub-dominant epipelic diatoms found in South African rivers from different regions of the country. A multivariate analysis identified 36 diatom species that were associated with different levels ofTDS, PO 4 , NH 4 and SiO 2 . Three groups of rivers were identified. Group I consisted of sites with high PO 4 and SiO 2 which corresponded to Durban Metropolitan Area sites, Kruger National Park rivers, the rivers in the Johannesburg Metropolitan Area and the Orange River. In these rivers 12 diatom species were identified that might indicate those water quality characteristics. Group II included stations where the water quality had high TDS and NH 4 values which were associated with most stations in the Swartkops River in the Eastern Cape. The indicators in this group comprised 12 diatom species. Group III were from sampling stations where the water had low levels of minerals, i.e. the upper reaches of the Gamtoos River and the Swartkops River in the Eastern Cape, the Olifants River in the Northern Cape, rivers sampled in KwaZulu-Natal and the Northern Cape. At these sites, 13 diatom species were found as dominants in this better water quality. Water quality data collected during this study showed that over 50% of the river systems display some degree of eutrophication and thus efforts should be made to reduce inputs of nutrients and pollutants to those rivers.
Idiom as a Translation Technique: a Theorical Postulate

In Translation Studies, the idiom is usually viewed as an important constitutive component of the source text and a possible translation problem. Several strategies and techniques of rendering idioms have been developed and discussed, and a plethora of research is focused on the ways in which selected source text idioms are rendered in the target texts. However, despite the fact that idioms frequently appear in target texts as counterparts of non-idiomatic source text expressions, the idiom has not found recognition as a valid translation technique so far and is not listed as such in relevant literature. In this paper, I will argue that it deserves this status. Although the research is based upon pure idioms, the validity of the postulate can be claimed for other types of idioms too. The material analysed was retrieved from the novels The great Gatsby by F.S. Fitzgerald and Death on the Nile by A. Christie and two German renditions of each.
Skip-Sliding Window Codes

Constrained coding is used widely in digital communication and storage systems. In this article, we study a generalized sliding window constraint called the skip-sliding window. A skip-sliding window (SSW) code is defined in terms of the length <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> of a sliding window, skip length <inline-formula> <tex-math notation="LaTeX">$J$ </tex-math></inline-formula>, and cost constraint <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula> in each sliding window. Each valid codeword of length <inline-formula> <tex-math notation="LaTeX">$L + kJ$ </tex-math></inline-formula> is determined by <inline-formula> <tex-math notation="LaTeX">$k+1$ </tex-math></inline-formula> windows of length <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> where window <inline-formula> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula> starts at <inline-formula> <tex-math notation="LaTeX">$(iJ + 1)$ </tex-math></inline-formula>th symbol for all non-negative integers <inline-formula> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula> such that <inline-formula> <tex-math notation="LaTeX">$i \leq k$ </tex-math></inline-formula>; and the cost constraint <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula> in each window must be satisfied. SSW coding constraints naturally arise in applications such as simultaneous energy and information transfer, and SSW codes are also potential candidates for visible light communications. In this work, two methods are given to enumerate the size of SSW codes and further refinements are made to reduce the enumeration complexity. Using the proposed enumeration methods, the noiseless capacity of binary SSW codes is determined and some useful observations are made, such as the fact that SSW codes provide greater capacity than certain related classes of constrained codes. Moreover, we provide noisy capacity bounds for SSW codes.
Formal security proof for a scheme on a topological network

Key assignment and key maintenance in encrypted networks of {resource-limited} devices may be a challenging task, due to the permanent need of replacing out-of-service devices with new ones and to the consequent need of updating the key information. Recently, Aragona et al. proposed a new cryptographic scheme, ECTAKS, which provides a solution to this design problem by means of a Diffie-Hellman-like key establishment protocol based on elliptic curves and on a prime field. Even if the authors proved some results related to the security of the scheme, the latter still lacks a formal security analysis. In this paper, we address this issue by providing a security proof for ECTAKS in the setting of computational security, assuming that no adversary can solve the underlying discrete logarithm problems with non-negligible success probability.
Uniform stress field inside a non-parabolic open inhomogeneity interacting with a mode III crack

Using conformal mapping techniques, analytic continuation and the theory of Cauchy singular integral equations, we prove that a non-parabolic open inhomogeneity embedded in an elastic matrix subjected to a uniform remote anti-plane stress nevertheless admits an internal uniform stress field despite the presence of a finite mode III crack in its vicinity. Our analysis indicates that: (i) the internal uniform stress field is independent of the specific shape of the inhomogeneity and the presence of the finite crack; (ii) the existence of the finite crack plays a key role in the non-parabolic open shape of the inhomogeneity and in the non-uniform stresses in the surrounding matrix; (iii) the two-term asymptotic expansion at infinity of the stress field in the matrix is independent of the presence of the finite crack. Detailed numerical results are presented to demonstrate the proposed theory.
The Combined Effects of Gibberellic Acid and Rhizobium on Growth, Yield and Nutritional Status in Chickpea (Cicer arietinum L.)

Plant growth regulators and Rhizobium are actively involved in the regulation of flowering, pod formation, nodulation, and ultimately the growth and yield of legumes. However, very limited information is available on the combined effect of gibberellic acid (GA3) and Rhizobium on growth attributes and yield of legume crops. This experiment was designed to fill this gap by studying the performance of chickpea under exogenous application of GA3 (10−4 and 10−5 M) alone and in combination with Rhizobium. Exogenous application of GA3 (10−5 M) combined with rhizobium inoculation gave the highest values for number of nodules per plant (16) and their dry biomass (0.22 g). Moreover, GA3 application and seed inoculation with Rhizobium, when applied singly, significantly enhanced chickpea growth. However, the most promising results were obtained by the inoculation of Rhizobium accompanied with GA3 (10−5 M). Plant height, grain and stover yield, and chlorophyll contents were enhanced up to 35%, 39%, 21%, and 51%, respectively. Likewise, the bioaccumulation of macronutrients (N, P and K) was maximum in plants receiving both Rhizobium inoculation and GA3 application. It is concluded that the combined application of Rhizobium and GA3 has synergistic effects on the growth, yield, and nutrient contents of chickpea.
Consumption Decision and Influencing Factors of Guilin Tourism Performing Arts Brand—A Case of Ancient Love

The purpose of this study was to find out the factors influencing the purchase intention of tourism performing arts consumers, enhancing the market competitiveness of tourism performing arts products, and enhancing the market share of enterprises. This study has taken the Ancient Love of Guilin as an example to explore the consumption characteristics and influencing factors of tourism performing arts by using a quantitative research method. Using a questionnaire to collect data from 400 consumers who have watched the show for ages. SPSS was used to conduct reliability and validity tests, descriptive analysis, T-test, one-way Anova and regression analysis on the first data of the questionnaire to test the samples. The results showed that brand equity (brand awareness, perceived quality and brand loyalty) has a significant impact on the purchase intention of tourism performing arts consumers. This meant that consumers’ purchase intention to travel performing arts could be explained by brand awareness, perceived quality and brand loyalty.
Monte Carlo study of electron transport in monolayer silicene

Electron mobility and diffusion coefficients in monolayer silicene are calculated by Monte Carlo simulations using simplified band structure with linear energy bands. Results demonstrate reasonable agreement with the full-band Monte Carlo method in low applied electric field conditions. Negative differential resistivity is observed and an explanation of the origin of this effect is proposed. Electron mobility and diffusion coefficients are studied in low applied electric field conditions. We demonstrate that a comparison of these parameter values can provide a good check that the calculation is correct. Low-field mobility in silicene exhibits T − 3 temperature dependence for nondegenerate electron gas conditions and T − 1 for higher electron concentrations, when degenerate conditions are imposed. It is demonstrated that to explain the relation between mobility and temperature in nondegenerate electron gas the linearity of the band structure has to be taken into account. It is also found that electron–electron scattering only slightly modifies low-field electron mobility in degenerate electron gas conditions.
A Brief Introduction to Complexity Theory in Managing Public Services

This article seeks to provide a brief overview of the development of complexity theory in public sector management. The article starts by reviewing the emergence of complexity theory, first in natural sciences and then in social sciences, as an attempt to analyse complex systems and phenomena which direct “Newtonian” causalities fail to explain fully. Next, it looks at how such complexity theory – which makes the distinction between complexity and chaos – has been used to examine public services. In particular, the article analyses how new public management (NPM) and post-NPM have led to far more complex public service networks and delivery systems than the bureaucratic government structures which existed previously. As a result, research into complex public service systems has itself contributed to the deepening of complexity theory. Finally, the article presents a series of cases in which complexity theory is applied to public sector management, and the management of common pool resources as analysed by Elinor Ostrom. It concludes that complexity theory is a powerful tool for challenging the standard frame of mainstream economics and NPM, but that its applicability is not easy.
Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth From Dense Satellite and Sparse In Situ Observations

The ocean mixed layer plays an important role in the coupling between the upper ocean and atmosphere across a wide range of time scales. Estimation of the variability of the ocean mixed layer is therefore important for atmosphere‐ocean prediction and analysis. The increasing coverage of in situ Argo profile data allows for an increasingly accurate analysis of the mixed layer depth (MLD) variability associated with deviations from the seasonal climatology. However, sampling rates are not sufficient to fully resolve subseasonal ( <90 $< 90$ day) MLD variability. Yet, many multivariate observations‐based analyses include implicit modeled subseasonal MLD variability. One analysis method is optimal interpolation of in situ data, but the interior analysis can be improved by leveraging surface data with regression or variational approaches. Here, we demonstrate how machine learning methods and satellite sea surface temperature, salinity, and height facilitate MLD estimation in a pilot study of two regions: the mid‐latitude southern Indian and the eastern equatorial Pacific Oceans. We construct multiple machine learning architectures to produce weekly 1/2° gridded MLD anomaly fields (relative to a monthly climatology) with uncertainty estimates. We test multiple traditional and probabilistic machine learning techniques to compare both accuracy and probabilistic calibration. We validate our methodology by applying it to ocean model simulations. We find that incorporating sea surface data through a machine learning model improves the performance of spatiotemporal MLD variability estimation compared to optimal interpolation of Argo observations alone. These preliminary results are a promising first step for the application of machine learning to MLD prediction.
Dynamic Base Station Clustering in User-Centric mmWave Networks: Performance Analysis and Optimization

In millimeter wave (mmWave) networks, base stations (BSs) are expected to be densely deployed in order to meet the demands of mobile users. A major challenge in dense mmWave networks is the interference experienced by the user from the neighboring BSs which limits the density of deployed BSs. A promising solution to this challenge is to adopt user-centric BS cooperation that allows a user to be connected to a set (cluster) of BSs instead of being associated with a single one. In this paper, we investigate the performance of user-centric mmWave networks with dynamic clustering. First, we propose a dynamic clustering model to enable the user-centric BS cooperation. Then, based on the proposed model, we analyze the coverage probability and average spectral efficiency (ASE) performances using stochastic geometry tools. We also propose a BS clustering optimization framework to achieve maximum ASE performance for given network configuration. Finally, numerical and simulation results are provided, showing that the proposed dynamic clustering schemes always outperform static clustering and single-BS selection schemes and yield an optimum system performance for given network parameters.
Determination of three parameters in a time-space fractional diffusion equation

: In this paper, we consider a nonlinear inverse problem of recovering two fractional orders and a di ﬀ usion coe ﬃ cient in a one-dimensional time-space fractional di ﬀ usion equation. The uniqueness of fractional orders and the di ﬀ usion coe ﬃ cient, characterizing slow di ﬀ usion, can be obtained from the accessible boundary data. Two computational methods, Tikhonov method and Levenberg-Marquardt method, are proposed to solving this problem. Finally, an example is presented to illustrate the e ﬃ ciency of the two numerical algorithm.