Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Investigation of the Effects of Aquatic Vegetation on Wind-Induced Wave and Current Characteristics in Shallow Lakes

Aquatic vegetation is one of the important parts of the shallow lake ecosystem, which has an important impact on the characteristics of wind-driven wave and current. In this article, we embed the vegetation module into the flow model TELEMAC-3D and the wave model TOMAWAC, respectively, and construct the coupling model of flow–wave–vegetation in the open source model Open TELEMAC-MASCARET. Through the verification of two sets of experimental data, it has been proven that the model can well reproduce the influence of vegetation on current and wave. Then, the model is applied to the wind-driven wave and current simulation of a typical shallow lake, Taihu Lake. The results show that the model can accurately reproduce the characteristics of wind-driven wave and current. Aquatic vegetation significantly changes the velocity, wave height, and local three-dimensional circulation flow in the vegetation patches. At the same time, the existence of aquatic vegetation reduces the material exchange rate between the vegetation area and the outside world, which has a significant impact on the material transport characteristics of the lake. Sensitivity analysis shows that the influence of aquatic vegetation should not be ignored in the simulation of wind-induced wave current and material transport in shallow lakes.
Fabrication of Flexible Au/ZnO/ITO/PET Memristor Using Dilute Electrodeposition Method

DRAM has been approaching its maximum physical limit due to the demand of smaller size and higher capacity memory resistor. The researchers have discovered the abilities of a memristor, a Non Volatile Memory (NVM) that could overcome the size and capacity obstacles. This paper discussed about the deposition of zinc oxide (ZnO) on indium tin oxide (ITO) coated polyethylene terephthalate (PET) substrate by electrodeposition. Metallic Zn film was deposited on substrates with varying deposition time from 15 to 120 seconds in very dilute zinc chloride (ZnCl2) aqueous and subsequently oxidized at 150 °C to form ZnO/ITO coated PET junction. The deposited thin film was characterized via x-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM). The results from I-V measurement show the deposited ZnO exhibits pinched hysteresis loop. The hysteresis loop becomes smaller with increasing deposition time. The 15 seconds electrodeposition gave the largest hysteresis loop and largest value of resistive switching ratio of 1.067. The result of the synthesized ZnO on the flexible substrate can be one of the alternatives to replace the current memory system as the flexible memory system.
Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment?–A Virtual Pilot Study

Numerous studies assess intracranial aneurysm rupture risk based on morphological and hemodynamic parameter analysis in addition to clinical information such as aneurysm localization, age, and sex. However, intracranial aneurysms mostly occur with a saccular shape located either lateral to the parent artery or at a bifurcation. In contrast, fusiform intracranial aneurysms (FIAs), i.e., aneurysms with a non-saccular, dilated form, occur in approximately 3–13% of all cases and therefore have not yet been as thoroughly studied. To improve the understanding of FIA hemodynamics, this pilot study contains morphological analyses and image-based blood flow simulations in three patient-specific cases. For a precise and realistic comparison to the pre-pathological state, each dilation was manually removed and the time-dependent blood flow simulations were repeated. Additionally, a validated fast virtual stenting approach was applied to evaluate the effect of virtual endovascular flow-diverter deployment focusing on relevant hemodynamic quantities. For two of the three patients, post-interventional information was available and included in the analysis. The results of this numerical pilot study indicate that complex flow structures, i.e., helical flow phenomena and the presence of high oscillating flow features, predominantly occur in FIAs with morphologically differing appearances. Due to the investigation of the individual healthy states, the original flow environment could be restored which serves as a reference for the virtual treatment target. It was shown that the realistic deployment led to a considerable stabilization of the individual hemodynamics in all cases. Furthermore, a quantification of the stent-induced therapy effect became feasible for the treating physician. The results of the morphological and hemodynamic analyses in this pilot study show that virtual stenting can be used in FIAs to quantify the effect of the planned endovascular treatment.
Features of Designing High-Rpm Electromechanical Energy Converters Operating in Short-Term Mode with High-Coercivity Permanent Magnets

The article provides a classification of thermo-inertial electromechanical energy converters; their characteristics are discussed. An algorithm developed by the authors of the design of these converters with high-coercivity permanent magnets for autonomous objects is presented, taking into account the effect of the magnet temperature and the ambient temperature on the device settings. Rational types of bearings for the converters considered are specified. The parameters of one prototype of the estimated thermo-inertial converter are given.
Integrated design process of branded products

Design of branded products involves consideration of both perceptual aspects of the product appearance (related to consumers’ evaluation and emotions and the brand values) as well as the technical and engineering aspects including manufacturing feasibility, performances, and cost. Within a multidisciplinary design context, product designers and engineering designers need to collaborate and communicate together to achieve a satisfactory product that is emotionally appealing to the consumers and is technically performing the intended functions, and is feasible to manufacture. However, such collaboration between product designers and engineering designers is difficult due to their different knowledge background, work approaches and responsibilities during the design process. This research deals with the questions of how to support the communication between product designers and engineering designers and how to support the integration of the engineering viewpoint earlier in the design process of branded product. Proposition and evaluation of three potential approaches to support communication between product designers and engineering designers is investigated in this research. Likewise an integration approach is proposed following the three steps of modeling, transforming and integrating the engineering knowledge to design knowledge. The results of this research contribute to the SKIPPI project, in the development of a software to support idea generation and the decision-making in the upstream design phase.
Antioxidant, antibacterial activity and FICI (Fractional Inhibitory Concentration Index) of ethanolic extract of Melastoma malabathricum leaves with amoxicillin against pathogenic bacteria

Abstract. Apridamayanti P, Sari R, Rachmaningtyas A, Aranthi V. 2021. Antioxidant, antibacterial activity and FICI (Fractional Inhibitory Concentration Index) of ethanolic extract of Melastoma malabathricum leaves with amoxicillin against pathogenic bacteria. Nusantara Bioscience 13: 140-147. Cengkodok plants (Melastoma malabathricum L.) from the Melastomataceae tribe have properties as a fever reliever (antipyretic), pain reliever (analgesic), relieve swelling, and treat burns or bleeding wounds. This study aimed to determine the antioxidant activity, total phenol content, total flavonoids and, MIC value of ethanol extract of M. malabathricum leaves against Bacillus cereus, Bacillus subtilis, Staphylococcus aureus, Staphylococcus epidermidis, Escherichia coli, Proteus mirabilis, and Pseudomonas aeruginosa. The method used in this study was the antioxidant activity was carried out using DPPH test, the total phenol-flavonoid content by using gallic-quercetin acid comparison and measurement with Spectrophotometry UV/Vis. Antibacterial activity was carried out by the Kirby-Bauer disc diffusion method. Antioxidant activity in this study showed is IC50 value = 5. 28µg/mL. Chemical constituents total phenols are 36.645 ± 5.14%, and total flavonoids is 4.163 ± 0.2%. Antibacterial activity MIC values ? obtained at a concentration of 6.25 mg/mL against B. cereus with a diameter of 8.28 mm ± 0.225, against B. subtilis with a diameter of 8.53 mm ± 0.275, against S. aureus with a diameter of 7.23 mm ± 0.275, against S. epidermidis with a diameter of 6.18 mm ± 0.104; MIC values ? obtained at a concentration of 1.56 mg/mL in E. coli with a diameter of inhibition zone 6.77 ± 0.72 mm, P. mirabilis with a diameter of inhibition zone 6.32 ± 0.19 mm, and P. aeruginosa with a diameter of inhibition zone 6.40 ± 0.26 mm. The characteristic of the combination of c leaf ethanol extract, and Amoxicillin towards S. epidermidis and B. subtilis with FICI value is one categories additive; P. aeruginosa with FICI value is two categories indifferent; E. coli, B. cereus, S. aureus, and P. mirabilis with FICI value is 0.5 categories synergistic.
Data Mining Techniques with Electronic Customer Relationship Management for Telecommunication Company

Organizations must improve decisional quality, and the continuous usage of data mining techniques is a crucial issue for management. This issue mostly involves an individual's motivation to engage in the behavior. This could perhaps be characterized in terms of the working regimen. technology utilization and employee activity are the two main difficulties that this dilemma revolves around. This study aims to address the aspect associated with data mining and E-CRM in the telecom industry. The methods that are used in the current study, analysis studies of the data mining techniques are applied to E-CRM that has been identified. Moreover, PHP with the update of the DeLone and McLean methods has been used in the current study. The results show the significance in affecting the continuance used intention of data mining techniques. User satisfaction, technology, and data mining are critical predictors of employment intentions.
FPGA-based implementation of real-time identification procedures for adaptive control in photovoltaic applications

In this thesis two adaptive Maximum Power Point Tracking (MPPT) techniques for PhotoVoltaic (PV) applications, which are based on two different real-time identification procedures are proposed. The algorithms are implemented on the same low-cost Field Programmable Gate Array (FPGA) device in charge of controlling the switching converter that processes the power produced by the PV array. The Perturb & Observe (P&O) algorithm is the most common MPPT technique. Its efficiency is mainly related to two parameters: the perturbation amplitude and the perturbation period Tp. The optimal values of such parameters depend on the PV array type and on the irradiance and temperature conditions thereof, as well as on the parameters of the power processing circuit. Thus, a method for dynamically adapt the P&O parameters would be very useful for increasing the P&O MPPT performances. Several approaches presented in the current literature are focused on the adaptation of the perturbation amplitude. In this thesis, on the contrary, the on-line optimization of the value of Tp is proposed. The effects of such a parameter on both the tracking speed and the stationary MPPT efficiency are pointed out. Besides, the need for a real-time identification technique for identifying the minimum acceptable value of Tp in the actual PV operating conditions is demonstrated. Two different identification procedures aimed at developing the aforementioned adaptive MPPT controllers have been studied: the Cross-Correlation Method (CCM) and the Dual Kalman Filter (DKF). The first one belongs to the non-parametric techniques and allows identifying the impulse response and the frequency response of the PV system. Instead, the DKF is a model-based approach which esti-
Sustainable phosphorus recovery from waste.

Phosphorus (P) is an essential non-substitutable nutrient for all living organisms, but it is also a dwindling non-renewable resource. Approximately two-thirds of the world’s supply of phosphate rock is located in China, Morocco, and the USA. Phosphate rock is included in the EU list of ‘critical raw materials’ and is ranked 20th in an index of commodity price volatility. P recovery from waste water can help alleviate reliance on imported phosphate and reduce vulnerability to fluctuating prices. This project explored the options for P recovery from wastes produced across Thames Water’s waste water treatment plants (WWTPs), the main foci being sludge dewatering liquors and incineration/pyrolysis residues. The research focussed specifically on the Slough WWTP and the operation of a newly installed Ostara system for recovery of P as struvite from dewatering liquors. The Ostara process is designed to operate with centrate PO4-P concentrations above 100 mg/l; to obtain these concentrations chemical coagulant dosing in the enhanced biological nutrient removal process must be reduced. Centrate monitoring following this change showed that Fe concentrations must measure consistently below 1.5 mg/l for PO4-P concentrations to remain steadily above 100mg/l. Following these changes onsite, operational savings and revenue can be produced onsite. Significant operational and maintenance savings totalling to £113K can be made in the first year of operation of the P recovery system in Slough WWTP. Sale of P rich struvite fertiliser produces annual revenue of £20K. Moving beyond the local benefits of P recovery, national benefits of P recovery were quantified. In a national context, a total of 28±1 kt P/year can be recovered from all WWTP waste streams, reducing P fertiliser imports by 36±1%. P recovery from WWTP influent and incinerated sewage sludge ash would reduce P losses to water bodies by 22±2%. Sewage sludge may be incinerated, producing incinerated sewage sludge ash (ISSA), or alternatively pyrolysed to produce sewage sludge char (PSSC). The possibility of recovering P from these residual solids was also investigated. PSSC samples contained significantly more nitrogen and lower heavy metal concentrations than ISSA samples due to the process conditions. The % P extractions from both ISSA and PSSC plateaus at 0.6M and 0.8M H2SO4 acid concentrations, respectively, due to the formation of gypsum on the particles, so that further increase in acid concentrations does not increase P recovery. The knowledge gained through this research has been used to improve the understanding and efficiency of the P recovery system at Slough WWTP. The information learned about pyrolysis residues will be used by Thames Water to develop a novel P recovery process from PSSC. Combined, these findings can impact the industry by creating incentives and inform policies regarding P recovery.
The Effect of Adding Selected Nanoparticles on the Mechanical Properties of the Cement Matrix of Self-Compacting Concrete

The interest in nanomaterials as an addition that improves the properties of concrete has been growing for more than a decade. One of the principal ways of evaluating concretes is the testing of their micro- and nanohardness by means of nanoindentation. This paper presents the results of nanoindentation tests of hardened self-compacting concrete modified with different amounts of nanoparticles. The investigations covered a reference series of self-compacting concrete without any nanoparticle addition and ten concrete series modified with different amounts of SiO2, TiO2 and Al2O3 powder nanoparticles. An analysis of the test results is carried out and conclusions are drawn.
Exploring Job Quality and Part-time Work in Australia

Abstract This article addresses the issue of part-time work and job quality in an exploratory fashion. It highlights the construction and measurement of part-time work and its broad features within the Australian context. It then explores the important question of the nature of job quality, and specifically the quality of part-time jobs. It argues that the gap separating part-time from full-time jobs can constitute the starting point for addressing part-time job quality.
Bounding Box-Based Technique for Pavement Crack Classification and Measurement Using 1 mm 3D Laser Data

AbstractPavement crack classification is important for pavement distress condition rating and the subsequent maintenance and rehabilitation activities. Substantial research and field efforts have been dedicated to developing a usable solution for fully automated crack classification, but successful field applications are limited because the existing processing techniques have several deficiencies. One example is the inability of separating simply connected cracks into proper types. To overcome this and other limitations, this paper presents a four-phase bounding box–based image-segmentation technique for fully automated crack classification. First, 1 mm three-dimensional (3D) pavement data are continuously collected at high speed using an emerging pavement data collection system, on the basis of which cracks are identified with a multiseed fusion algorithm. Then a series of image processing techniques are introduced to produce terminal bounding boxes in combination with location references of wheel paths .
Entkopplung von Mehrgrößen-Systemen mit Reglern minimaler Ordnung

matrizen eine befriedigende Entkopplung mit dynamischen Entkopplungsfehlern erzielt wird. Mit diesem Problem hängt auch die Empfindlichkeit der modalen Entkopplung gegen Parameteränderungen der Mehrgrößenregelstrecke zusammen. Ferner ist das Führungsverhalten im Profil-Koordinatensystem genauer zu untersuchen, und geeignete Vorschriften für die Reglereinstellung im Koordinatensystem der Eigenvektoren sind anzugeben. Schließlich ist festzustellen, in welcher Beziehung die modale Entkopplung zu anderen Verfahren der Entkopplung von Mehrgrößenregelstrecken steht. Literatur :
Potential enhanced association between obstructive lung disease and history of depression in patients with diabetes

Background: Depression is one of the most common comorbidities of chronic diseases including diabetes and obstructive lung diseases (emphysema, chronic bronchitis, and asthma). Obstructive lung diseases and depression have few symptoms in common. However, they are both common in adults and associated with chronic inflammation. It is not clear if their coappearance in diabetic patients is coincidental or associated beyond that expected by chance. Methods: A total of 1,003 adults with diabetes in community practice settings were interviewed at home at the time of their enrolment into the Vermont Diabetes Information System, a clinical decision support program. Patients self-reported their personal and clinical characteristics, including any obstructive lung disease. Laboratory data were obtained directly from the clinical laboratory, and current medications were obtained by direct observation of medication containers. We performed a cross-sectional analysis of the interviewed subjects to assess a possible association between the prevalence of obstructive lung disease and depression. Results: In a multivariate logistic regression model, obstructive lung disease was significantly associated with depression even after correcting for gender, obesity (≥30 kg/m2), high comorbidities (>2), low annual income (<$30,000/ year), cigarette smoking, alcohol problems, and education level (odds ratio=1.83; 95% confidence interval 1.27, 2.62; P <0.01). Conclusion: These data suggest a potential enhanced association between obstructive lung disease and depression in patients with diabetes. Future studies are needed to identify if inflammation is implicated in this association as a common denominator.
Identification of Novel Diagnostic Biomarkers in Prostate Adenocarcinoma Based on the Stromal-Immune Score and Analysis of the WGCNA and ceRNA Network

Prostate cancer is still a significant global health burden in the coming decade. Novel biomarkers for detection and prognosis are needed to improve the survival of distant and advanced stage prostate cancer patients. The tumor microenvironment is an important driving factor for tumor biological functions. To investigate RNA prognostic biomarkers for prostate cancer in the tumor microenvironment, we obtained relevant data from The Cancer Genome Atlas (TCGA) database. We used the bioinformatics tools Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm and weighted coexpression network analysis (WGCNA) to construct tumor microenvironment stromal-immune score-based competitive endogenous RNA (ceRNA) networks. Then, the Cox regression model was performed to screen RNAs associated with prostate cancer survival. The differentially expressed gene profile in tumor stroma was significantly enriched in microenvironment functions, like immune response, cancer-related pathways, and cell adhesion-related pathways. Based on these differentially expressed genes, we constructed three ceRNA networks with 152 RNAs associated with the prostate cancer tumor microenvironment. Cox regression analysis screened 31 RNAs as the potential prognostic biomarkers for prostate cancer. The most interesting 8 prognostic biomarkers for prostate cancer included lncRNA LINC01082, miRNA hsa-miR-133a-3p, and genes TTLL12, PTGDS, GAS6, CYP27A1, PKP3, and ZG16B. In this systematic study for ceRNA networks in the tumor environment, we screened out potential biomarkers to predict prognosis for prostate cancer. Our findings might apply a valuable tool to improve prostate cancer clinical management and the new target for mechanism study and therapy.
Postoperative Pulmonary Hemodynamics and Systemic Inflammatory Response in Pediatric Patients Undergoing Surgery for Congenital Heart Defects

There is scarce information about the relationships between postoperative pulmonary hemodynamics, inflammation, and outcomes in pediatric patients with congenital cardiac communications undergoing surgery. We prospectively studied 40 patients aged 11 (8–17) months (median with interquartile range) with a preoperative mean pulmonary arterial pressure of 48 (34–54) mmHg who were considered to be at risk for postoperative pulmonary hypertension. The immediate postoperative pulmonary/systemic mean arterial pressure ratio (PAP/SAPIPO, mean of first 4 values obtained in the intensive care unit, readings at 2-hour intervals) was correlated directly with PAP/SAP registered in the surgical room just after cardiopulmonary bypass (r = 0.68, p < 0.001). For the entire cohort, circulating levels of 15 inflammatory markers changed after surgery. Compared with patients with PAP/SAPIPO ≤ 0.40 (n = 22), those above this level (n = 18) had increased pre- and postoperative serum levels of granulocyte colony-stimulating factor (p = 0.040), interleukin-1 receptor antagonist (p = 0.020), interleukin-6 (p = 0.003), and interleukin-21 (p = 0.047) (panel for 36 human cytokines) and increased mean platelet volume (p = 0.018). Using logistic regression analysis, a PAP/SAPIPO > 0.40 and a heightened immediate postoperative serum level of macrophage migration inhibitory factor (quartile analysis) were shown to be predictive of significant postoperative cardiopulmonary events (respective hazard ratios with 95% CIs, 5.07 (1.10–23.45), and 3.29 (1.38–7.88)). Thus, the early postoperative behavior of the pulmonary circulation and systemic inflammatory response are closely related and can be used to predict outcomes in this population.