Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fundamental Study to Estimate Construction Performance of Subsea Waterjet Trenching Machine

: Thereisdrifttowardmovingoffshorestructuresoperatingsitestodeepwaterthatbringssubseasystemsandtypesof apparatustomeetmoresevereenvironmentthanonshore.Atthismoment,climaticconditionandseabedstate affecttrenchingefficiency sotrenchingprocessisneedtomakesteadyprogressinashorttime.Thispaperisresearchonestimationaboutconstructionperformance ofwaterjettrenchingmachinemountedonROVtrencher.Optimalnumberofnozzlesthatcanmaximizetrenchingefficiencyisselected byconsideringclearanceandangleofnozzlesthroughCFD.Thenverifiedeffectivenessofwaterjetapparatusontheresultoftrenching depthandvelocitybymodeltestanalogizedperformanceforconstructionworkofwaterjettrenchingmachine.
A high-precision lightweight smoke detection model based on SE attention mechanism

a high-precision and fast outdoor smoke detection method is proposed. The existing smoke detection model can not meet the real-time requirements on the equipment with low computing power, so a Yolo-attention lightweight model is adopted in this paper. The backbone adopts shufflenetv2, which can reduce the amount of parameters and calculation of the model. In order to achieve high-precision detection of outdoor smoke, we collected and established a data set of outdoor smoke combustion, and used data enhancement technology and attention mechanism. Mosaic data is used to enhance the effect of small target detection, and attention mechanism is used to enhance the information sharing between model channels. The experimental results show that the detection accuracy can be improved by 9. 8% after data augmentation. Coupled with the attention mechanism, the detection accuracy can be increased by 1.3%. At the same time, the amount of calculation of the improved model is 1. 1 G FLOPs and the size is only 4.8M, which has been greatly improved. This paper proposes a high-precision lightweight model for outdoor smoke detection, which provides a possible method for outdoor smoke detection such as forest fire prevention and motor vehicle smoke distinguishing.
A stochastic model for the optimal allocation of hydropower flexibility in renewable energy markets

Abstract This paper considers the revenue maximization problem for a hydropower company. The company can generate excess electricity by releasing water from a reservoir and then sell it to the energy market. On the other hand, the company has an obligation to keep the reservoir level above a pre-determined level, which may require the company to purchase electricity in order to fulfill the customers’ power demand. The electricity price and reservoir level are both represented by diffusion processes. We refer to a one-factor diffusion model for electricity price, which is known to fit the data well. After applying Bellman dynamic programming principle, we derive the associated state-constrained Hamilton-Jacobi-Bellman (HJB) equation to characterize the value function. Then we prove that the value function is the viscosity solution of the state-constrained HJB equation and it is unique in this constrained optimization problem.
Exploring ILP for VLIW Architecture by Quantified Modeling and Dynamic Programming-Based Instruction Scheduling

Exploring the instruction-level parallelism (ILP) of Very Long Instruction Word (VLIW) architecture relies on instruction scheduling. List scheduling (LS) algorithms, which are most adopted in modern compilers, have limitations in searching for optimal solutions. This paper proposes a quantifiable model for instruction scheduling and a dynamic programming-based strategy (DPS). We evaluate DPS on a specified platform and realize high efficiency. The results suggest that the DPS achieves an efficiency improvement of up to 44.72% within acceptable time overhead.
Efficient Critical Paths Search Algorithm using Mergeable Heap

Path searching is a central step in static timing analysis (STA). State-of-the-art algorithms need to generate path deviations for hundreds of thousands of paths, which becomes the runtime bottleneck of STA. Accelerating path searching is a challenging task due to the complex and iterative path generating process. In this work, we propose a novel path searching algorithm that has asymptotically lower runtime complexity than the state-of-the-art. We precompute the path deviations using mergeable heap and apply a group of deviations to a path in near-constant time. We prove our algorithm has a runtime complexity of $O(n\log n+k\log k)$ which is asymptotically smaller than the state-of-the-art $O(nk)$. Experimental results show that our algorithm is up to $60\times$ faster compared to OpenTimer and $1.8\times$ compared to the leading path search algorithm based on suffix forest.
Direct start of a gasoline direct-injection engine without a starter

When start–stop system technology is employed, the direct-start method without requiring a starter is considered to be a viable and low-cost solution for a gasoline direct-injection engine in a good thermal state to guarantee that the engine starts frequently and quickly. In this experimental work, the effects of the initial start conditions on successful realization of the direct-start method were investigated by using a four-cylinder gasoline direct-injection engine without considering the effect of the residual gas. Moreover, the changes in the combustion pressure and the rotational speed of the engine with different control parameters of the cylinders which were stopped on the compression and expansion strokes were examined, and the reliability and the stability of the direct-start method were analysed. Some control parameters have significant influences on the combustion pressure and the rotational characteristics of the crankshaft. The initial position of the piston stopped on the compression stroke and located between 60° crank angle before top dead centre and 70° crank angle before top dead centre is optimal to the direct-start method. The raised fuel pressure is beneficial for accomplishing a direct start, resulting in a lower fuel consumption and a shorter response time during the start. When the initial position of the piston is between 50° crank angle before top dead centre and 85° crank angle before top dead centre, the direct start method can still be realized successfully at an injection pressure of 0.5–2.3 MPa. From 50 tests, it was demonstrated that the direct-start method has a better reliability and a better stability at the initial piston position of 50°–85° crank angle before top dead centre, which acquired a nearly 100% probability that the gasoline direct-injection engine is successfully started with a variation in the rotational speed of less than 7%. The engine can almost reach the idle speed after the initial five working cycles. In comparison with the conventional start mode with a starter, the direct-start mode also has a better start response.
Overcoming Drug Resistance in Advanced Prostate Cancer by Drug Repurposing

Prostate cancer (PCa) is the second most common cancer in men. Common treatments include active surveillance, surgery, or radiation. Androgen deprivation therapy and chemotherapy are usually reserved for advanced disease or biochemical recurrence, such as castration-resistant prostate cancer (CRPC), but they are not considered curative because PCa cells eventually develop drug resistance. The latter is achieved through various cellular mechanisms that ultimately circumvent the pharmaceutical’s mode of action. The need for novel therapeutic approaches is necessary under these circumstances. An alternative way to treat PCa is by repurposing of existing drugs that were initially intended for other conditions. By extrapolating the effects of previously approved drugs to the intracellular processes of PCa, treatment options will expand. In addition, drug repurposing is cost-effective and efficient because it utilizes drugs that have already demonstrated safety and efficacy. This review catalogues the drugs that can be repurposed for PCa in preclinical studies as well as clinical trials.
Evaluation of drying parameters and antioxidant activity of agro-industrial waste

ABSTRACT Natural antioxidants are a research topic of increased attention due to the fact that some synthetic antioxidants are now suspected to be potentially harmful to human health. The biomass like mirabelle plum stones valorisation considered as agro-industrial residues seems to be a prospective way for new natural antioxidants. Therefore, an experimental study of sorption isotherm and drying kinetic and antioxidant activities of shell and kernel of mirabelle was carried out. The gravimetric method is used to determine adsorption and desorption isotherms. The experimental results were fitted by GAB and Owswin models. Moreover, a set of drying experiments were studied at five air temperatures (75, 85, 95, 105 and 110°C). Experimental drying curves were fitted with Page, single-term and two-term exponential models. It is found that exponential models are suitable for fruit stones drying. Moreover, the antioxidant activity of kernel extracts is evaluated using the methods of oxygen uptake method (OUI) and the scavenging of 2-2-diphenyl-1-picrylhydrazyl (DPPH) radical. The OUI measurement showed that the extracts had considerably high antioxidant activity (83–90%). The close correlation between DPPH and OUI assays is confirmed. Hence, the mirabelle kernel extracts can be used as effective natural antioxidant.
Tracing Atmospheric Anthropogenic Black Carbon and Its Potential Radiative Response Over Pan‐Third Pole Region: A Synoptic‐Scale Analysis Using WRF‐Chem

The Pan‐Third Pole contains the largest number of glaciers outside the polar region that plays a crucial role in atmospheric circulation and the hydrological cycle. However, this pristine region has undergone rapid change through complex interactions including the black carbon (BC) enhanced warming effect and glacier melting. Study shows, Weather Research and Forecasting coupled with Chemistry (WRF‐Chem) simulation is able to capture distinctive seasonal variability of BC. The result from our sensitivity experiments revealed that South Asia (SA; 60.7%) and East Asia (EA; 32.9%) contributed more toward the Tibetan Plateau (TP). Our analysis on aerosol‐boundary feedback interaction revealed BC expand planetary boundary layer height by 5.0% and 4.8% over SA and EA, respectively, which facilitates BC dispersion and transportation. Whereas, we also found that under the influence of different wind regimes the significant BC transport flux aloft over the TP and the upper troposphere and lower stratosphere. Additionally, mountain‐valley channel and synoptic and local meteorological processes also facilitated BC transport to the TP. This study also evaluated the effect of BC on direct radiative forcing and calculated subsequent temperature changes. A strong dimming effect of BC corroborated with the following negative surface temperature changes. However, enhanced BC concentration during winter and spring caused the increase in temperature over the TP. Here, the WRF‐Chem model, synergy on aerosol‐boundary feedback, BC transport flux, and source‐receptor methods confirmed the significant BC contribution and transportation, and notable BC‐induced warming over TP. Such trans‐Himalayan BC transport and associated warming could grim glacier melt and water availability in the region.
The presence and growth of Legionella species in thermostatic shower mixer taps: an exploratory field study

Legislation in the Netherlands requires routine analysis of drinking water samples for cultivable Legionella species from high-priority installations. A field study was conducted to investigate the presence of Legionella species in thermostatic shower mixer taps. Water samples and the interior of ten thermostatic shower mixer taps were investigated for cultivable Legionella species. In seven cases, Legionella species was found in at least one of the samples. In four cases, Legionella species was detected in the biofilm on the thermostatic shower mixer taps interior, with the highest values on rubber parts, and in five cases in the cold supply water. These results show that thermostatic shower mixer taps can play a role in exceeding the threshold limit for cultivable Legionella species, but the cold supply water can also be responsible. Practical implications: This study showed that contamination of thermostatic shower mixer taps (TSMTs) with Legionella spp. was frequently observed in combination with contamination of the water system. Consequently, a combined focus is necessary to prevent the proliferation of cultivable Legionella spp. in TSMTs. In addition, the results also demonstrated that biofilms on rubbers inside the TSMT had high numbers of Legionella spp. , probably because rubber contains relatively high concentrations of biodegradable substrates. Therefore, improvement of the rubber materials is necessary to reduce the proliferation of cultivable Legionella spp. in TSMTs.
The Impacts of Flooding and Business Activity and Employment: A Spatial Perspective on Small Business

Severe flooding events often cause significant damage to an area, including affecting the local economy, disrupting transportation, and damaging infrastructure. While raw statistics offer some understanding of crop and property-related damages, resulting from large-scale floods, we also need to consider the longer-term impacts and recovery within an area and the interaction between adjacent areas during the recovery process. In this paper, we examine the impacts of major and minor flood events on business employment and the number of establishments in different sectors of the economy. While we find that flood events had a negative short-run impact on agricultural services and particularly small establishments, estimations show positive impacts in the service sector. We also identify significant spatial spillovers.
Evaluation of the climate change impact on the intensity and return period for drought indices of SPI and SPEI (study area: Varamin plain)

In this study, to investigate the climate change effect on meteorological drought in the next three decades of Varamin plain, EC-EARTH model was selected from the (AR5) report with the high performance of temperature and precipitation simulation compared to the base period under RCP scenarios and then by LARS-WG software was downscaled. In addition, (intensity-duration) and the return period of drought indices of SPI and SPEI in annual time series were evaluated. Results illustrated that the seasonal precipitation pattern has changed, and mean temperatures will increase by 1.4 °C compared to the base period. The results of the drought assessment showed that the intensity of drought in the future compared to the base period based on SPI and SPEI index increased by 8 and 28%, respectively, indicating that the SPEI index was more severe in all three scenarios than the SPI index. It can mainly be explained by the contribution and effect of increasing the average temperature along with precipitation in the SPEI index. Also, the return period of severe droughts under RCP8.5 scenario for SPEI index in the base and future periods is 8 and 6 years, respectively, which indicates a decrease in the return period of severe droughts and an increase in dry years in the future.
Advance Research in Organic and Inorganic Chemistry (AROIC)

The structure assignment and conformational analysis of cinnamic derivative N-benzyl-N-(2-(cyclohexylamino)-2-oxoethyl) cinnamamide (NGI25) was carried out through Nuclear Magnetic Resonance (NMR) spectroscopy, Molecular Dynamics (MD) and Quantum Mechanics (QM), i.e., semiempirical and Density Functional Theory (DFT) calculations. Specifically, homonuclear (2D-COSY, 2D-NOESY) and heteronuclear (2D-HSQC, 2D-HMBC) spectra were obtained. Through them, the resonant values of the hydrogens and their constituent carbons were identified. After structure identification, NGI25 was subjected to computational calculations to reveal its most favorable conformations. QM, MD were in agreement with the spatial correlations that were observed in 2D-NOESY spectra. Figure 1: N-benzyl-N-(2-(cyclohexylamino)-2-oxoethyl) cinnamamide, NGI25 N O H N O 2 3 4 5 6 7 9 10 11 12 13 14 15 16 17 18 19 20 4 3 19 18 14 13 1 8
The Antianginal Drug Perhexiline Displays Cytotoxicity against Colorectal Cancer Cells In Vitro: A Potential for Drug Repurposing

Simple Summary Cancer cells frequently have an altered metabolism to support their increased proliferative and invasive activity. Perhexiline, a drug used to treat some cardiovascular diseases, inhibits some of the reported changes in the metabolism of cancer cells. We show that treatment with this drug either as a racemate or its enantiomers can kill colorectal cancer cells. The drug has been used clinically for a long time and has potential to be repurposed for use in the management of colorectal cancer. Abstract Colorectal cancer (CRC) is the second leading cause of cancer-related death worldwide. Perhexiline, a prophylactic anti-anginal drug, has been reported to have anti-tumour effects both in vitro and in vivo. Perhexiline as used clinically is a 50:50 racemic mixture ((R)-P) of (−) and (+) enantiomers. It is not known if the enantiomers differ in terms of their effects on cancer. In this study, we examined the cytotoxic capacity of perhexiline and its enantiomers ((−)-P and (+)-P) on CRC cell lines, grown as monolayers or spheroids, and patient-derived organoids. Treatment of CRC cell lines with (R)-P, (−)-P or (+)-P reduced cell viability, with IC50 values of ~4 µM. Treatment was associated with an increase in annexin V staining and caspase 3/7 activation, indicating apoptosis induction. Caspase 3/7 activation and loss of structural integrity were also observed in CRC cell lines grown as spheroids. Drug treatment at clinically relevant concentrations significantly reduced the viability of patient-derived CRC organoids. Given these in vitro findings, perhexiline, as a racemic mixture or its enantiomers, warrants further investigation as a repurposed drug for use in the management of CRC.
Methods for failure detection for mobile manipulation

The work presented in this paper focuses on the comparison of well-known and new fault-diagnosis algorithms in the robot domain. The main challenge for fault diagnosis is to allow the robot to effectively cope not only with internal hardware and software faults but with external disturbances and errors from dynamic and complex environments as well. Based on a study of literature covering fault-diagnosis algorithms, I selected four of these methods based on both linear and non-linear models, analysed and implemented them in a mathematical robot-model, representing a four-wheels-OMNI robot. In experiments I tested the ability of the algorithms to detect and identify abnormal behaviour and to optimize the model parameters for the given training data. The final goal was to point out the strengths of each algorithm and to figure out which method would best suit the demands of fault diagnosis for a particular robot.
Topology optimization of bi‐material curved shell structures for minimizing time‐domain sound radiation

So far, the research on topology optimization against noise has mainly addressed frequency‐domain problems, while time‐domain analysis is also widely used in practical engineering. Nonetheless, the topology optimization work on the latter was rarely reported due to its complexity. This article presents a new topology optimization scheme of bi‐material curved shell structure to reduce the time‐domain noise generated by transient vibration. A finite element formulation for an eight‐node curved shell element is presented. The Newmark integral method is employed to calculate transient responses, and the obtained results are input into the time‐domain boundary element method to predict transient sound pressure. In the optimization model, the volumetric densities of material in a bi‐material interpolation model constructed by the solid isotropic material with penalization model are chosen as the design variables; the time integral of the squared sound pressure on structural surfaces or prescribed reference points in acoustic medium over a specified time interval of interest is taken as the objective function; and the constraint on material volume is considered. A volume‐preserving Heaviside penalization is introduced to suppress gray elements. Furthermore, the calculation of time‐domain sound radiation sensitivity is transformed into the following two processes: (a) the derivation of transient response based on the Newmark integral method; (b) the derivation of transient sound pressure based on the discrete time‐domain boundary integral equation. Numerical examples demonstrate the validity of the approach proposed in this article. The influences of volume‐preserving Heaviside penalization, volume constraint, loading position and form, and selection of objective function on the optimal design are discussed.
AN INTERACTIVE DRUG SUPPLY CHAIN TRACKING SYSTEM USING BLOCKCHAIN 2.0

The modern pharmaceutical supply chain is a complex process in which researches is carried out to produce drugs and according to the research made the drugs is manufactured and these drugs are distributed from the manufacturer to the pharmacies. This process involves a number of stakeholders from manufacturer, wholesaler, distributor, pharmacies and finally end-users, the patients. At each stage, inventory must be managed based on demand in pharmaceutical products. Inventory management system is vital because an excess of inventory could cost the pharmacy money and it is more complex because it needs to track the lot numbers and expiration dates of medicines. Pharmaceutical supply chain suffers from various issues such as drug shortages, temperature control of drugs, lack of visibility in shipment and storage, inventory management, lack of coordination and the most important one drug counterfeiting. The principal regulatory bodies responsible for drug quality try to solve these issues by various ways. But they are very much unregulated, expensive and fragmented. The blossoming technology, Blockchain by its inherent properties such as immutability, transparency, and distributed nature could solve the problems of pharmaceutical supply chain. This paper starts with an introduction about Drug supply chain and their problems. It elucidates how Blockchain Technology could come to rescue pharmaceutical supply chain. This paper proposes a novel drug supply chain management system along with inventory management based on Blockchain 2.0 specifically Hyperledger Fabric. The proposed system records all transactions using Blockchain, thus helping in tracking the drug along its supply chain as well as solving the issues associated with drug supply chain in an efficient manner. It also measures performance of the proposed system using the Benchmark tool called Hyperledger caliper. The system proves its efficiency in terms of success rate, throughput and transaction latency.