Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Audit of Madonna University Akpugo Campus

This paper examines the energy use pattern of the staff lodges and student hostels of Madonna University Nigeria, Akpugo Campus in a bid to achieve energy efficiency. The electricity utility bills of 2 years (2013- 2015) were extracted from the University to complement data collected from walk-through and comprehensive audits. Investigations show that 57% of the respondents are not aware of energy efficiency; 87.6% of the total number of the respondents sampled use incandescent light bulbs in their rooms while 12.5% use compact fluorescent lights. Out of the number, only 39.8% remember to turn off lights when leaving a room while 60.2% do not, thus suggesting the need for awareness creation for energy efficiency promotion in the hostels/lodges in addition to replacement of the inefficient incandescent bulbs with compact fluorescent lights. An internal energy policy, awareness creation and establishment of an energy management unit in the University system are some of the measures that can guarantee good savings.
The Parametric Modular Design of Feed Cars Based on SolidWorks

This thesis combines the modular design technology and the secondary development of SolidWorks,proposed the Parameters of the modular modeling method of feed cars based on SolidWorks.Functional analysis method was adopted,and the feed cars function was divided into several function sub-modules.The Secondary Development of SolidWorks by VB6.0 which realized the change of function modules parameters in SolidWorks,improved the quality and efficiency,shortened the produce period,reduced the produce costs of the feed cars,and promoted the development of feed cars in generalization synthesization,modularization and seriation.
Experimental study on the shear mechanical behaviour of rock-like materials containing one embedded flaw under unloading normal stress conditions

Abstract It is difficult to cut internal defects, and capture the initiation and propagation of internal defects by direct observation in actual rocks. This article presents a new method to create internal defect samples by volatilisation of camphor. Then, in order to better understand the influence of unloading normal stress on shear mechanical behaviour, laboratory tests are carried out on rock-like samples containing one embedded penny shape flaw with constant shear stress and unloading normal stress under different stress paths and shear directions conditions. The failure pattern and fracture morphologies of rock-like samples with different shear paths, flaw inclination and shear direction are analyzed. The strength and deformation behaviour are investigated also. Results show that the degree of fracture surface of direct shear tests and linear normal unloading shear tests are smaller than that of the complex normal unloading shear tests. The normal unloading amount determines the failure mode of rock-like samples. The failure pattern transforms from tensile failure to shear failure when the normal unloading amount gradually decreases. Although normal unloading deformation plays an important role in rock failure, shear deformation has little effect on fracture mode.
Computational Analysis of Actuation Techniques Impact on the Flow Control around the Ahmed Body

Active flow control with jet devices is a promising approach for vehicle aerodynamics control. In this work an extended computational study is performed comparing three different actuation strategies for active flow control around the square back Ahmed body at Reynolds number 500,000 (based on the vehicle height). Numerical simulations are run using a Large Eddy Simulation (LES) approach, well adapted to calculate the unsteady high Reynolds number flow control using periodic jet devices. computations are validated comparing to in-house experiments for uncontrolled and some controlled cases. The novelty of this investigation is mainly related to the in-depth study of the base flow and actuation approaches by an accurate LES method and their comparison to experiments. Here, several simulations are performed to estimate the effect of active controls on the flow topology and the drag reduction. Beside the continuous blowing jet, three periodic actuation techniques including periodic blowing and suction as well as the zero flux synthetic jet devices are explored. The slots are implemented discontinuously in order to achieve a better control efficiency linked to vortex generation. In this framework, spectral analyses on global aerodynamical quantities, rear pressure/drag coefficient behavior examination as well as wake structure investigations are performed in order to compare these jet actuations. As a result, shear layer variations are observed during the blowing phase, but the main flow topology change occurs with suction and synthetic jets. Rear back pressure is therefore substantially increased.
SARS-CoV-2 Sero-Surveillance in Greece: Evolution over Time and Epidemiological Attributes during the Pre-Vaccination Pandemic Era

Background: Nation-wide SARS-CoV-2 seroprevalence surveys provide valuable insights into the course of the pandemic, including information often not captured by routine surveillance of reported cases. Methods: A serosurvey of IgG antibodies against SARS-CoV-2 was conducted in Greece between March and December 2020. It was designed as a cross-sectional survey repeated at monthly intervals. The leftover sampling methodology was used and a geographically stratified sampling plan was applied. Results: Of 55,947 serum samples collected, 705 (1.26%) were found positive for anti-SARS-CoV-2 antibodies, with higher seroprevalence (9.09%) observed in December 2020. Highest seropositivity levels were observed in the “0–29” and “30–49” year age groups. Seroprevalence increased with age in the “0–29” age group. Highly populated metropolitan areas were characterized with elevated seroprevalence levels (11.92% in Attica, 12.76% in Thessaloniki) compared to the rest of the country (5.90%). The infection fatality rate (IFR) was estimated at 0.451% (95% CI: 0.382–0.549%) using aggregate data until December 2020, and the ratio of actual to reported cases was 9.59 (7.88–11.33). Conclusions: The evolution of seroprevalence estimates aligned with the course of the pandemic and varied widely by region and age group. Young and middle-aged adults appeared to be drivers of the pandemic during a severe epidemic wave under strict policy measures.
Spatio-Temporal Emissions of Ammonia
and Greenhouse Gases from Livestock
and Its Relation to Atmospheric
Particulate Matter Pollution
in the Beijing-Tianjin-Hebei Region

Livestock farming sector is an important anthropogenic emission source of ammonia (NH3) and greenhouse gases including nitrous oxide (N2O) and methane (CH4). The NH3, not N2O and CH4, is known as an important gaseous precursor to cause atmospheric particulate matter (PM) pollution. However, the relationship between livestock-derived NH3 and atmospheric PM pollution has not been sufficiently investigated, especially in the developed regions with serious air pollution. Here, we studied the spatio-temporal emissions of NH3, N2O and CH4 from livestock farming as well as the relationship between livestock NH3 emission and atmospheric PM pollution in the Beijing-Tianjin-Hebei Region, one of the most developed and air polluted area in China. Over the past 40 years, livestock-derived emissions of NH3, N2O and CH4 had experienced four temporal stages (1978-1990: low level; 1991-1995: rapid growth; 1996-2005: reached hot moments; 2006-2018: stable at a high level). Livestock-derived emissions of NH3, N2O and CH4 were 813, 19 and 499 Gg in 2017, respectively. The southeastern plain was the hotspot, and the pig and cattle were the main sources (78-99%) of NH3, N2O and CH4 in livestock farming. The livestock-derived NH3 emission explained approximately a quarter of the variations of atmospheric PM2.5 (size ≤2.5 μm) (24%) and PM10 (size ≤10 μm) (22%) pollution. Based on the knowledge of atmospheric chemical processes, we concluded that the livestock-derived NH3 emission significantly affected atmospheric PM2.5 and PM10 pollution in the Beijing-Tianjin-Hebei Region. Consequently, the livestock farming, especially pig and cattle breeding, should be paid more attention *e-mail: shufengchen@163.com DOI: 10.15244/pjoes/140564 ONLINE PUBLICATION DATE:
Dual Fluorescence in Glutathione-Derived Carbon Dots Revisited

Dual-fluorescence carbon dots have great potential as nanosensors in life and materials sciences. Such carbon dots can be obtained via a solvothermal synthesis route with glutathione and formamide. In this work, we show that the dual-fluorescence emission of the synthesis products does not originate from a single carbon dot emitter, but rather from a mixture of physically separate compounds. We characterized the synthesis products with UV–vis, Raman, infrared, and fluorescence spectroscopy, and identified blue-emissive carbon dots and red-emissive porphyrin. We demonstrate an easy way to separate the two compounds without the need for time-consuming dialysis. Understanding the nature of the system, we can now steer the synthesis toward the desired product, which paves the way for a cheap and environmentally friendly synthesis route toward carbon dots, water-soluble porphyrin, and mixed systems.
Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data

One of the most challenging aspects of obtaining detailed and accurate land-use and land-cover (LULC) maps is the availability of representative field data for training and validation. In this manuscript, we evaluate the use of the Eurostat Land Use and Coverage Area frame Survey (LUCAS) 2018 data to generate a detailed LULC map with 19 crop type classes and two broad categories for woodland and shrubland, and grassland. The field data were used in combination with Copernicus Sentinel-2 (S2) satellite data covering Europe. First, spatially and temporally consistent S2 image composites of (1) spectral reflectances, (2) a selection of spectral indices, and (3) several bio-geophysical indicators were created for the year 2018. From the large number of features, the most important were selected for classification using two machine-learning algorithms (support vector machine and random forest). Results indicated that the 19 crop type classes and the two broad categories could be classified with an overall accuracy (OA) of 77.6%, using independent data for validation. Our analysis of three methods to select optimum training data showed that by selecting the most spectrally different pixels for training data, the best OA could be achieved, and this already using only 11% of the total training data. Comparing our results to a similar study using Sentinel-1 (S1) data indicated that S2 can achieve slightly better results, although the spatial coverage was slightly reduced due to gaps in S2 data. Further analysis is ongoing to leverage synergies between optical and microwave data.
Numerical Investigation of Erosion for Multiphase Flow Elbow in Coal Liquefaction

The elbow in Coal liquefaction are suffered by severe solid particle erosion when used to convey liquid-solid twophase medium. Take the typical structure of 90° circular cross section bend as the research object,using standard k-e turbulence model,particle track model and erosion wear model for bending tube flow characteristics and wall wear rate for numerical calculation. Research shows,close to bend back flow faster than abdomen,particle to back together,leading to the back of the serious erosion wear in other place,therefore,the actual pipeline system of bend back should be key monitoring area.
Sensors and Actuation Technologies in Exoskeletons: A Review

Exoskeletons are robots that closely interact with humans and that are increasingly used for different purposes, such as rehabilitation, assistance in the activities of daily living (ADLs), performance augmentation or as haptic devices. In the last few decades, the research activity on these robots has grown exponentially, and sensors and actuation technologies are two fundamental research themes for their development. In this review, an in-depth study of the works related to exoskeletons and specifically to these two main aspects is carried out. A preliminary phase investigates the temporal distribution of scientific publications to capture the interest in studying and developing novel ideas, methods or solutions for exoskeleton design, actuation and sensors. The distribution of the works is also analyzed with respect to the device purpose, body part to which the device is dedicated, operation mode and design methods. Subsequently, actuation and sensing solutions for the exoskeletons described by the studies in literature are analyzed in detail, highlighting the main trends in their development and spread. The results are presented with a schematic approach, and cross analyses among taxonomies are also proposed to emphasize emerging peculiarities.
Clinical Evidence for Thermometric Parameters to Guide Hyperthermia Treatment

Simple Summary Hyperthermia (HT) is a promising therapeutic option for multiple cancer entities as it has the potential to increase the cytotoxicity of radiotherapy (RT) and chemotherapy (CT). Thermometric parameters of HT are considered to have potential as predictive factors of treatment response. So far, only limited data about the prognostic and predictive role of thermometric parameters are available. In this review, we investigate the existing clinical evidence regarding the correlation of thermometric parameters and cancer response in clinical studies in which patients were treated with HT in combination with RT and/or CT. Some studies show that thermometric parameters correlate with treatment response, indicating their potential significance for treatment guidance. Thus, the establishment of specific thermometric parameters might pave the way towards a better standardization of HT treatment protocols. Abstract Hyperthermia (HT) is a cancer treatment modality which targets malignant tissues by heating to 40–43 °C. In addition to its direct antitumor effects, HT potently sensitizes the tumor to radiotherapy (RT) and chemotherapy (CT), thereby enabling complete eradication of some tumor entities as shown in randomized clinical trials. Despite the proven efficacy of HT in combination with classic cancer treatments, there are limited international standards for the delivery of HT in the clinical setting. Consequently, there is a large variability in reported data on thermometric parameters, including the temperature obtained from multiple reference points, heating duration, thermal dose, time interval, and sequence between HT and other treatment modalities. Evidence from some clinical trials indicates that thermal dose, which correlates with heating time and temperature achieved, could be used as a predictive marker for treatment efficacy in future studies. Similarly, other thermometric parameters when chosen optimally are associated with increased antitumor efficacy. This review summarizes the existing clinical evidence for the prognostic and predictive role of the most important thermometric parameters to guide the combined treatment of RT and CT with HT. In conclusion, we call for the standardization of thermometric parameters and stress the importance for their validation in future prospective clinical studies.
"Evaluation of an Active Butanol Fraction Effects of Blighia Unijugata (Sapindaceae) Leaves on Some Biochemical Blood Parameters in Male Wistar Rats"

Evaluation of an Active Butanol Fraction Effects of Blighia Unijugata (Sapindaceae) Leaves on Some Biochemical Blood Parameters in Male Wistar Rats . Biomed J Sci Blighia many therapeutic indications in d’Ivoire. This study evaluated the effects of oral administration of an active butanol fraction of Blighia unijugata for 28 days on some biochemical blood parameters of male rats. The active butanolic fraction of Blighia unijugata
Grapevine DMR6-1 Is a Candidate Gene for Susceptibility to Downy Mildew

Grapevine (Vitis vinifera) is a valuable crop in Europe for both economical and cultural reasons, but highly susceptible to Downy mildew (DM). The generation of resistant vines is of critical importance for a sustainable viticulture and can be achieved either by introgression of resistance genes in susceptible varieties or by mutation of Susceptibility (S) genes, e.g., by gene editing. This second approach offers several advantages: it maintains the genetic identity of cultivars otherwise disrupted by crossing and generally results in a broad-spectrum and durable resistance, but it is hindered by the poor knowledge about S genes in grapevines. Candidate S genes are Downy mildew Resistance 6 (DMR6) and DMR6-Like Oxygenases (DLOs), whose mutations confer resistance to DM in Arabidopsis. In this work, we show that grapevine VviDMR6-1 complements the Arabidopsis dmr6-1 resistant mutant. We studied the expression of grapevine VviDMR6 and VviDLO genes in different organs and in response to the DM causative agent Plasmopara viticola. Through an automated evaluation of causal relationships among genes, we show that VviDMR6-1, VviDMR6-2, and VviDLO1 group into different co-regulatory networks, suggesting distinct functions, and that mostly VviDMR6-1 is connected with pathogenesis-responsive genes. Therefore, VviDMR6-1 represents a good candidate to produce resistant cultivars with a gene-editing approach.
In-silico ADMET profile of Ellagic Acid from Syzygium cumini: A Natural Biaryl Polyphenol with Therapeutic Potential to Overcome Diabetic Associated Vascular Complications

Plant Based Natural Products (PBNPs) are the primary source of natural antioxidants capable of neutralizing or eliminating harmful Reactive Oxygen Species (ROS). Oxidative stress contributes not only to the pathogenesis of type 2 diabetes (T2DM) but also to diabetic related vascular complications by lipid peroxidation. Oxidation induced DNA and protein damage leads to development of vascular complications like coronary heart disease, CVD, stroke, neuropathy, retinopathy, nephropathy, CKD, and other long term complications associated with diabetics. Likewise Multidrug resistance (MDR) is one of the major clinical challenges in cancer treatment and compromises the effectiveness of conventional anticancer chemotherapeutics. P-glycoprotein (P-gp) has been characterized as a major mechanism of MDR. Ellagic acid (EA) is a bioactive secondary metabolite widely distributed in vegetables and fruits (Strawberry, Grapes, Blackberry, Raspberry, Plums etc.) Chemically, EA is 2,3,7,8-tetrahydroxychromeno [5,4, -cde] chromene-5, 10-dione, a heterotetracyclic dimer of Gallic Acid (GA) molecules formed by oxidative aromatic coupling involving intramolecular lactonization. EA is associated with pharmacological activities such as anti-inflammatory, neuroprotective, cardio-protective, antioxidant, anti-mutagenic, multidrug resistance etc. EA has been marketed as a dietary supplement with claimed benefits against cancer, CVD, CKD and other metabolic disorders. However, pharmacological limitation of EA is attributed to its low solubility in water and reduced bioavailability. In the present study, bimolecular potential of EA has been bioprospected in the revised framework of ADMET pharmacoinformatics to further widen its biomedical applications. Keywords: ADMET; Pharmacoinformatics; Ellagic Acid; Gallic Acid; Syzygium cumini; Alagarkovil Reserve Forest (ARF); Reactive Oxygen Species (ROS)
Numerical Simulations of Air Flow and Traffic–Related Air Pollution Distribution in a Real Urban Area

With increasing urbanization, urban air pollutants are becoming more and more relevant to human health. Here, combined with meteorological observation data, a numerical simulation of typical urban blocks in Shanghai was carried out to understand the spread of air pollutants caused by road traffic sources (ground–level and viaduct–level). Firstly, we analyzed the wind environment characteristics. Then, we quantitatively analyzed the pollutant distribution profiles and the contributions of two pollutant sources (PSV). Finally, we analyzed seven urban morphological parameters based on ventilation efficiency indices. Results revealed the following. (1) Ventilation patterns within the architectural complex are determined by local geometry; (2) Pollutants released at ground level were dominant when the Z–plane < 8 m high, and pollutants released from the viaduct source were 0.8–6.1% higher when the Z–plane ≥ 8 m high; (3) From ground level to a height of 60 m, the spatially–averaged normalized concentration (C*) tended to decrease gradually with distance from the source. C* increased irregularly with an increase in distance between 60 m and 86 m. Above 86 m, C* tended to increase linearly; (4) Vertical profiles of C* around buildings were building–specific, and their rate of change was inconsistent with height increases. In general, the correlations between C* and VRw, and between C* and KEturb were larger on the windward side of PSV upstream buildings than on the leeward side. Buildings downstream of the PSV showed the opposite situation; (5) At pedestrian level, the seven urban morphological parameters had no significant correlation with VRw, Cir*, and Czs*.
Development of a Smart Clinical Bluetooth Thermometer Based on an Improved Low-Power Resistive Transducer Circuit

Smart sensors have been used in many engineering monitoring and control applications. This work focuses on the development of a new type of clinical Bluetooth thermometer, based on an improved low-power resistive transducer circuit. Most existing resistive transducers use relatively complicated circuits with higher cost and power consumption. To tackle these problems, especially in real applications, an improved low-power resistive transducer circuit is proposed in this work and is used to develop smart Bluetooth thermometers. The parameters of the resistive transducer circuit are selected by quantitative analysis and optimization to improve the performance of the low-power resistive transducer circuit. The effectiveness of the proposed design technology was verified by tests. The temperature measurement error of the new smart Bluetooth thermometer is less than 0.1 °C, which can not only meet the clinical use requirements but also has lower cost and power consumption.
The Influence of Social Network and Information Cocoon on Major Selection

The Internet is permeating the education sector as it becomes more informationized, which includes providing students with information to make learning and learning-related decisions easier. However, few studies have investigated how the information cocoon effect of the Internet and the social network (strong & weak ties) in sociology can influence students' choice of major. After combining and summarizing a number of literature, the research results show that the information cocoon effect and social networks can be combined, and a large number of weak ties can be found and utilized through the Internet itself to establish a social network, so as to obtain more diversified information to counter and break the information cocoon.