Miracle-dz/UniFAR-FTUs huggingface dataset:
Heating and Conductive Properties of Fabrics Made of Metal Yarns

Bu calismada, farkli sikliklarda tek ve cift katli, orme ve dokuma yapida paslanmaz celik tel iceren kumas uretimi yapilmis, kumas yapilari karsilastirilarak kumaslarin elektriksel ozellikleri, isinma davranislari ve potansiyel kullanim alanlari incelenmistir. Dokuma kumaslar icin, kumas icerisinde cift katli iletken iplik kullaniminda, iletken tel yogunlugu artmasiyla kumas uzerinden gecen akimin arttigi ve isinma sicakliginin daha yuksek oldugu gorulmustur. Orme kumaslarda ise, tek katli iletken ipliklerden olusan kumaslarda daha iyi iletkenlik, daha dusuk isinma yetenegi gorulmustur. Ayrica, orme yapisindaki iletken ipliklerin kesintisiz olarak devam etmesinden ve tum yuzeyde etki gosterebilmesinden dolayi orme kumaslar dokuma kumaslara gore daha yuksek iletkenlik ozelligine sahip oldugu dusunulmektedir. Ancak isinma davranisi incelendiginde, orme kumaslar dokuma kumaslara gore daha az isi dayanimi gostermistir. Bu sebeple isitma amacli kullanilacak uygulamalarda, dokuma kumas kullanilacaksa, atki ipligi olarak kullanilan cift katli iletken iplik tercih edilmesi avantaj saglayacaktir. Benzer sekilde, elektriksel iletkenlik uygulamalarinda, orme kumas kullaniminda, tek katli iletken iplik secilmesinin olumlu sonuclar saglayacagi ongorulmektedir
The Effect of Inter-Distance of the Main and the Auxiliary Grounding System in MEA ’ s Power Distribution Substation

27 Abstract— This paper presents the electrical effect of two ne ighbouring distribution substation during the const ruction phase. The study performed in the paper can be divi ded in 3 parts. 1) The effect of unconnected grids ver us their interdistances and soil resistivity: the greater thei r inter-distance, the higher their ground potential rise (GPR) and maximum touch voltage, but the lower their maximum step voltage will be. 2) The effect of connected gr i s versus their different inter-distance and soil resistivity : All the three voltages are trend to decrease when t grids are connected, with the exception that when the grids’ inter-dista nce is short and the grid conductor buried in the t wo-layered soil that the upper soil layer resistivity is lower and the s ize of auxiliary grounding system (auxiliary ground grid) is equal or smaller than the main ground grid, their maximum t ouch voltages will not come down but go up instead. 3) The effect of the size of grid of auxiliary grounding system: the bigger the size of auxiliary grounding grid, th e lower the GPR and maximum touch and step voltage, with the exception that when the two grids are unconnected, i.e. the b igger the size of auxiliary grounding grid, the higher the maximum st ep voltage. The results in this paper could be served as design guideline of grounding system, and perhaps remedy o f some troublesome grounding grids in MEA’s power s ystem.
Verb phrase external arguments in Mande: New evidence for obligatory extraposition

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Verb phrase external arguments in Mande: New evidence for obligatory extraposition Tatiana Nikitina
Permanent Income Inequality PRELIMINARY AND INCOMPLETE

We estimate the level and evolution of inequality in assets, human capital wealth and permanent income. Our definition of the latter variable does not rely on a specific utility function and imposes no restrictions on income processes. We characterize the distribution of human wealth using nonparametric identification results that allow for state-dependent stochastic discounting and unobserved heterogeneity. Accounting for the value of human capital delivers a different view of inequality. We find that (i) in 2016 the top 10% shares of total wealth and permanent income were roughly 1/3 lower than the corresponding share of assets; (ii) between 1989 and 2016 the top 10% shares of total wealth and permanent income grew significantly faster than the corresponding share of asset wealth. Hence, human wealth has had a mitigating influence on overall inequality but this mitigating effect has declined over time. We show that households at the top of the assets distribution have not increased their share of human wealth. Instead, higher concentration of permanent income is due to the growing importance of assets in lifetime wealth portfolios. JEL Classification: D3, G1, I24, E21, J01
Supported Lipid Membranes and Their Use for the Characterization of Biological Nanoparticles

Biological nanoparticles (BNPs) are nano-sized lipid vesicles of biological origin, which are involved in multiple biological processes. BNP characterization techniques are critical for improving the understanding of how these particles contribute to cellular communication, viral infections and drug-delivery applications. However, due to their small size (between 50 and 200 nm in diameter) and molecular heterogeneity, quantitative characterization of their physical, chemical and biological properties is demanding, especially since their large structural and compositional heterogeneity calls for methods with single nanoparticle resolution. To address this challenge, work in this thesis has been focused on investigating and using supported lipid bilayers (SLBs) and their two-dimensional fluidity as a platform for nanoparticle characterization. To investigate SLBs, we combined confocal microscopy with microfluidics to identify the mechanisms by which lipid vesicles are spontaneously converted into various types of planar membranes on a multitude of surfaces (Paper I) and found that most of the studied materials can support lipid film formation. In the context of SLB formation, specific focus was put on using total internal reflection fluorescence (TIRF) microscopy to monitor the kinetics of vesicle adsorption, rupture and spreading of individual SLB patches on glass (Paper II), revealing that the SLB formation process was driven by the autocatalytic growth and merger of multiple small SLB patches at appreciably high vesicle coverage. TIRF was also successfully employed to monitor lipid-enveloped drug permeation through an SLB formed on a mesoporous silica thin film (Paper III). The insights gained from investigating SLBs was also used for in depth characterization of BNPs using the surface-based flow-nanometry method, allowing for independent determination of size and fluorescence emission of individual BNPs tethered to a laterally fluid SLB formed on the floor of a microfluidic channel. This way we could demonstrate that the fluorescence emission from lipophilic dyes depends in a non-trivial way on nanoparticle size, and varies significantly between the different types of BNPs (Paper IV). The flow-nanometry concept was also used to elucidate the effect of vesicle size on their diffusivity on the SLB in the limit of few tethers (Paper V). The insights gained in this thesis work on lipid self-assembly at different surfaces and the possibility to use SLBs on silica for in-depth characterization of BNPs demonstrate this as a promising approach in the field of single nanoparticle analytics, which in future work will be possible to extend into a novel means to probe interactions between BNPs and cell-membrane mimics representing a near-native situation.
Comparison of Support Vector Machine Recursive Feature Elimination and Kernel Function as feature selection using Support Vector Machine for lung cancer classification

Cancer is the uncontrolled growth of abnormal cell that need a proper treatment. Cancer is second leading cause of death according to the World Health Organization in 2018. There are more than 120 types of cancer, one of them is lung cancer. Cancer classification has been able to maximize diagnosis, treatment, and management of cancer. Many studies have examined the classification of cancer using microarrays data. Microarray data consists of thousands of features (genes) but only has dozens or hundreds of samples. This can reduce the accuracy of classification so that the selection of features is needed before the classification process. In this research, the feature selection methods are Support Vector Machine Recursive Feature Elimination (SVM-RFE) and Kernel Function and the classification method is Support Vector Machine (SVM). The results showed SVM using SVM-RFE as feature selection is better than SVM method without using feature selection and Gaussian Kernel Function.
review of 'Impacts of Enhanced Weathering on biomass production for negative emission technologies and soil hydrology' by Wagner de Oliveira Garcia et al.

This study explores the potential of enhanced weathering to fill the gap in phosphorus needed in order to sustain negative emission technologies such as afforestation/reforestation and energy production from bioenergy grass. It shows that the deployment of enhanced weathering, in terms of basalt addition to the ground, will have beneficial effects on biomass production by supplying phosphorus and other nutrients, in addition to the direct effect of enhancing the CO2 consumption by silicate weathering. The paper is mostly well written and fits the scope of Biogeosciences. I have a number of comments that should be addressed before the paper is suitable for publi-
Smoking prevalence in the Eastern Mediterranean Region.

Background Three global reports issued by the World Health Organization (WHO) track and report on trends in the prevalence of tobacco smoking from 2000 to 2025 based on data from national surveys. Aims This review aimed to compare regional and country-level projections for current tobacco smoking as presented in the WHO trend reports. These changes were considered in the context of improved monitoring and tobacco control policies. Methods Regional and country-level results in the WHO trend reports were considered in terms of the projected percentage point increase of current tobacco smoking between 2000 and 2025. Data on national surveys and policy implementation came from the relevant WHO reports. Results In the 2019 trend report, the prevalence of current tobacco smoking among males is projected to decrease by less than 2 percentage points by 2025. Eight countries featured in both the 2015 and 2019 WHO trend reports. Seven of these countries indicated a more encouraging projection (a decline in their projected increase between 2000 and 2025) for current male tobacco smoking in the 2019 report than in the 2015 report. For five out of these seven countries, their monitoring and tobacco control policy implementation improved over the same period. Conclusion Countries in the Region should implement additional national surveys to improve the accuracy of prevalence estimates, allow further projections to be performed and motivate policy-makers to make positive policy changes. Solutions to under-reporting biases during surveys should be considered. Governments should use trend projections to guide effective tobacco control policies to reduce tobacco use in the Region.
Increasing the proportion of plasma MUFA, as a result of dietary intervention, is associated with a modest improvement in insulin sensitivity

The effect of modifying dietary fatty acid (FA) composition on insulin sensitivity remains unclear. We aimed to investigate whether changes in plasma phospholipid (PL) FA composition, as a result of dietary intervention, correspond with changes in insulin sensitivity. The RISCK study was a 6-month randomised controlled dietary intervention study, which assessed the effect of modifying dietary fat and the glycaemic index (GI) of carbohydrates on insulin sensitivity. Total NEFA levels, fasting plasma PL FA profiles and an insulin sensitivity index (Si), derived from intravenous glucose tolerance minimal-model analysis, were available from 533 participants, all at elevated risk of type 2 diabetes. Bivariate correlations between changes in saturated PL FA (SFA), MUFA (as a percentage of total plasma NEFA) and changes in Si were assessed according to treatment group. Age, sex, ethnicity, percentage change in body mass and change in dietary GI were controlled for. Increasing total NEFA concentration was associated with worsening Si (r −0·152; P = 0·001). In the high-MUFA/low-GI diet group, change in PL-MUFA was positively and independently associated with change in Si (r 0·297; P = 0·002). Among MUFA, change in oleic acid (18 : 1) was most strongly correlated with change in Si (r 0·266; P = 0·005), as was change in minor FA 24 : 1 (r 0·244; P = 0·011) and 17 : 1 (r 0·196; P = 0·042). In the high-SFA/high-GI group, change in SFA concentration was not significantly associated with change in Si. In conclusion, increases in the proportion of plasma PL-MUFA following a high-MUFA dietary intervention were associated with improvements in insulin sensitivity.
Gassing Behavior of High‐Entropy Oxide Anode and Oxyfluoride Cathode Probed Using Differential Electrochemical Mass Spectrometry

Multicomponent materials may exhibit favorable Li-storage properties because of entropy stabilization. While the first examples of high-entropy oxides and oxyfluorides show good cycling performance, they suffer from various problems. Here, we report on side reactions leading to gas evolution in Li-ion cells using rock-salt (Co₀.₂Cu₀.₂Mg₀.₂Ni₀.₂Zn₀.₂)O (HEO) or Li(Co₀.₂Cu₀.₂Mg₀.₂Ni₀.₂Zn₀.₂)OF (Li(HEO)F). Differential electrochemical mass spectrometry indicates that a robust solidelectrolyte interphase layer is formed on the HEO anode, even when using an additive-free electrolyte. For the Li(HEO)F cathode, the cumulative amount of gases is found by pressure measurements to depend strongly on the upper cutoff potential used during cycling. Cells charged to 5.0 V versus Li⁺/ Li show the evolution of O₂, H₂, CO₂, CO and POF₃, with the latter species being indirectly due to lattice O₂ release as confirmed by electron energy loss spectroscopy. This result attests to the negative effect that lattice instability at high potentials has on the gassing.
Stress and strain propagation on infant skull from impact loads during falls: a finite element analysis

ABSTRACT Background and Objective: To simulate infant skull trauma after low height falls when variable degrees of ossification of the sutures are present. Methods: A finite elements model of a four-week-old infant skull was developed for simulating low height impact from 30 cm and 50 cm falls. Two impacts were simulated: An occipito-parietal impact on the lambdoid suture and a lateral impact on the right parietal and six cases were considered: unossified and fully ossified sutures, and sagittal, metopic, right lambdoid and right coronal craniosynostosis. Results: 26 simulations were performed. Results showed a marked increase in strain magnitudes in skulls with unossified sutures and fontanels. Higher deformations and lower Von Mises stress in the brain were found in occipital impacts. Fully ossified skulls showed less overall deformation and lower Von Mises stress in the brain. Results suggest that neonate skull impact when falling backward has a higher probability of resulting in permanent damage. Conclusion: This work shows an initial approximation to the mechanisms underlying TBI in neonates when exposed to low height falls common in household environments, and could be used as a starting point in the design and development of cranial orthoses and protective devices for preventing or mitigating TBI.
Diurnal variation in the isotope composition of plant xylem water biases the depth of root-water uptake estimates

Abstract. 1. Stable isotopologues of water are a widely used tool to derive the depth of root water uptake (RWU) in lignified plants. Uniform isotope composition of plant xylem water (i-H2O-xyl) along the stem length is a central assumption, which has never been properly evaluated. 2. We studied the effects of diurnal variation in RWU, sap flux density and various other soil and plant parameters on i-H2O-xyl within a plant using a mechanistic plant hydraulic model and empirical field observations from French Guiana and northwestern China. 3. Our model predicts significant i-H2O-xyl variation arising from diurnal RWU fluctuations and vertical soil water heterogeneity. Moreover, significant differences in i-H2O-xyl emerge between individuals with different sap flux densities. In line with model predictions, field data show excessive i-H2O-xyl variation during the day or along stem length ranging up to 25.2 ‰ in δ2H and 6.8 ‰ in δ18O, largely exceeding the measurement error range. 4. Our work show that the fundamental assumption of uniform i-H2O-xyl is violated both theoretically and empirically and therefore a real danger exists of significant biases when using stable water isotopologues to assess RWU. We propose to include monitoring of sap flow and soil water potential for more robust RWU depth estimates.
Construction and Investigation of an LINC00284-Associated Regulatory Network in Serous Ovarian Carcinoma

The low survival rate associated with serous ovarian carcinoma (SOC) is largely due to the lack of relevant molecular markers for early detection and therapy. Increasing experimental evidence has demonstrated that long noncoding RNAs (lncRNAs) are involved in cancer initiation and development, and a competitive endogenous RNA (ceRNA) hypothesis has been formulated. Therefore, the characterization of new lncRNA and lncRNA-related networks is crucial for early diagnosis and targeted therapy of SOC. Data on lncRNAs, mRNAs, and miRNAs with differential expression in SOC, compared to normal ovarian tissue, were obtained from the Gene Expression Omnibus (GEO) database. Data on lncRNA expression and clinical data in SOC were obtained from The Cancer Genome Atlas (TCGA). lncRNA-miRNA interactions were predicted by the miRBase database. Different online tools, i.e., TargetScan, RNA22, miRmap, microT, miRanda, StarBase, and PicTar, were cooperatively utilized to predict the mRNAs targeted by miRNAs. The plugin of BiNGO in Cytoscape and KOBAS 3.0 were used to conduct the functional and pathway enrichment analyses. The lncRNA, miRNAs, and mRNAs identified to be expressed at statistically significant and different levels between SOC and healthy fallopian tube tissues were further validated using qRT-PCR. A total of 4 lncRNAs (LINC00284, HAGLR, HCAT158, and BLACAT1) and 111 mRNAs were found to be upregulated in SOC tissues compared to normal tissues, based on the GEO database. LINC00284 was found to be highly expressed in SOC, in association with the upregulation of the transcription factor SOX9. The high LINC00284 expression was associated with poor prognosis and proved to be an independent risk factor in patients with SOC, based on TCGA database. The qRT-PCR validation results closely recapitulated the expression profiles and prognostic scores of the aforementioned bioinformatic analyses. The LINC00284-related ceRNA network was found to be associated with SOC carcinogenesis by biofunctional analysis. In conclusion, the LINC00284-related ceRNA network may provide valuable information on the mechanisms of SOC initiation and progression. Importantly, LINC00284 proved to be a new potential prognostic biomarker for SOC.
Learning using LTE RSRP and NARNET in the Same Indoor Area

In the era of the fourth industrial revolution, wireless communication technologies such as 5G are being studied. The long term evolution (LTE) is a 4G mobile communication technology, and it is still important for the development of wireless communication technology because it is currently in operation in various countries. The development of artificial intelligence (AI) such as machine learning (ML) and deep learning (DL) is being studied rapidly in the fourth industrial era. In this study, we measure the reference signal receive power (RSRP) from LTE networks at same location on different days at the same time. A measured RSRP data are analyzed with a statistic amplitude probability distribution (APD). We learn an artificial intelligence neural networks using measurement RSRP data and the results are analyzed. As a result, we confirmed the possibility of using AI in radio wave propagation.
Energy Management of a Dual Hybrid Energy Storage System of PV Microgrids in Grid-connected Mode Based on Adaptive PQ Control

In PV microgrids, batteries are used to balance the power between the generation and loads side. In this paper, a Dual Hybrid Energy Storage System (DHESS) in microgrids is proposed to increase batteries life cycle. the DHESS can work on two modes, one is responsible for charging, and another for discharging. The working mode changing is decided by the state of charging (SOC) of each battery. An adaptive PQ control method in the three-phase inverter is presented to ensure the SOC in the safe range. The proposed system is developed in MATLAB/SIMULINK environment and tested for the results in different conditions.
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data

Causal inference from observational data aims to estimate causal effects when controlled experimentation is not feasible, but it faces challenges when unobserved confounders exist. The instrumental variable method resolves this problem by introducing a variable that is correlated with the treatment and affects the outcome only through the treatment. However, existing instrumental variable methods require two stages to separately estimate the conditional treatment distribution and the outcome generating function, which is not sufficiently effective. This paper presents a one-stage approach to jointly estimate the treatment distribution and the outcome generating function through a cleverly designed deep neural network structure. This study is the first to merge the two stages to leverage the outcome to the treatment distribution estimation. Further, the new deep neural network architecture is designed with two strategies (i.e., shared and separate) of learning a confounder representation account for different observational data. Such network architecture can unveil complex relationships between confounders, treatments, and outcomes. Experimental results show that our proposed method outperforms the state-of-the-art methods. It has a wide range of applications, from medical treatment design to policy making, population regulation and beyond.
TempNet: Application of Wireless Sensor Network for Industrial Temperature Monitoring with IoT Integration

Temperature measurement and control in different points of different industrial machines are one of the most important parameters for smooth and reliable operations. Most of the traditional temperature monitoring systems in the industries of developing countries are based on either wire or thermocouple or infrared thermal scanner. In this paper, the distributed temperature is measured within the range of $- 40 ^{\circ}\mathrm{C}$ to $1350 ^{\circ}\mathrm{C}$ using K type thermocouple via a wireless sensor network (WSN). To construct WSN, zigbee is used. The network coordinator is connected with the main processing unit which is interfaced with the computer showing the temperature in graphical format. The graphical user interface(GUI) is developed using MATLAB. The main processing unit also uploads the data to the cloud server. For security purpose, the data is encrypted at the router side by Advanced Encryption Standard (AES) algorithm and decrypted on the coordinator side. An android app that is synchronized with the cloud server is developed to visualize the temperature data in a remote android device. Received Signal Strength Intensity (RSSI) based results are also analyzed on which it is found that at 600m distance the RSSI value is about -67 dBm and no data is lost or corrupted.