Miracle-dz/UniFAR-FTUs huggingface dataset:
Short-term Individualized Dialysate Cooling in Chronic Hemodialysis: Therapeutic benefits for Patients and A favorite choice for Nephrologists

Background: Intra-dialytic hypotension (IDH) and pruritus are frequent and distressing complications during hemodialysis; moreover, they are associated with adverse outcomes. The aim of the work: The current work aimed to investigate the effect of applying individualized cool dialysate (ICD) on IDH, dialysis adequacy, pruritus and its acceptance by both patient and nephrologists. Patients and Methods: This is a non-randomized single center study that was conducted at Al-Azher nephrology and dialysis unit. The study was carried out over a period of fvie weeks. Core body temperature (CBT) and dialysis adequacy (by Kt/v) were measured. Patients who fulfilled the inclusion and exclusion criteria underwent hemodialysis for six consecutive sessions at dialysate temperature of 37°C, followed by another six consecutive sessions at ICD temperature (0.5 oC below CBT). Blood pressure (BP) measurements, episodes of hypotension, pruritus score, patients and nephrologist questionnaire were collected during both standard and cool phases. Results: The study included 50 patients, the mean age 51.10±11.57 years, and males constituted 64% . The implementation of ICD has been associated with a significant reduction in IDH episodes (p <0.001). The lowest intra-dialytic and post-dialytic BP measurements were statistically higher during cool phase. There was a significant reduction in pruritus VAS score during cool phase (p <0.001), whereas Kt/v and ultrafiltration rate did not statistically differ between both phases. ICD was well tolerated by patients; although 60% of them experienced cold sensation that warranted no intervention. Nephrologists (n=20) trusted in cool dialysate as an effective intervention for IDH management. However, a proportion of them (60%) had a concern about patient tolerability. Conclusion: ICD is a well-tolerated intervention that is universally applied without additional cost. It improves hemodynamic instability and pruritus during hemodialysis treatment without negative impact on dialysis adequacy. It is accepted by nephrologists as an effective tool in stabilizing hemodynamic instability during dialysis treatment.
Using in vitro to in vivo extrapolation (IVIVE) to develop toxicity metrics for human health risk assessment of polybrominated diphenyl ethers (PBDE)

Abstract Polybrominated diphenyl ethers (PBDE) are flame retardants found in many industrial components, such as furniture foam, consumer electronics, plastics, and textiles and levels have increased in human beings over the past few decades. PBDE (1) produce adverse neurotoxic effects in mice, (2) are lipophilic, and (3) bioaccumulate in fish. Consequently, PBDE biomagnification may occur, which may be transferred to human beings in amounts that may exert adverse health effects. This investigation uses in vitro models to calculate bioassay-based reference doses in order to develop a human health risk assessment based on the consumption of PBDE-contaminated fish, using in vitro to in vivo extrapolation. The toxicity effects of 10 PBDE congeners were examined and compared among those developed using traditional in vivo mouse studies and in vitro models in this investigation employing rat (Clone-9), HEPG2 and zebrafish liver cells to determine the feasibility of using alternative approaches to develop toxicity metrics to evaluate human health risk.
Development Strategies for New Network Industry

: The new network industry is an innovation-led, cross-disciplinary frontier field. Therefore, it is crucial for promoting the innovation and application of new-generation information technology as well as the integrated development of industrialization and informatization in China. It is also a powerful means for establishing dominance in emerging industries and economic growth. This study examines the development demand for new network technologies and elaborates on solutions for various application scenarios, highlighting their industrial value. We conducted a detailed review of the development macrotrends and the current technology applications in the new network industry in China and abroad. We researched the development ideas of China’s new network industry and studied the key development directions of related industries. Subsequently, we proposed specific development goals for each subdivision in the short-, medium, and long-term phases. The study shows that a strategic planning system and cutting-edge innovation research on basic theory are urgently needed for China’s new network industry. The key technology directions in this industry include new network architectures and basic theory, ultra-low-latency and deterministic-latency networks, network operating systems,
Harmonious development and dynamic correlation analysis of new energy industry agglomeration innovative human capital and green economic growth

By selecting the data from 2004 to 2016, this paper studies the coupling and coordinated development of new energy industry agglomeration, innovative human capital and green economic growth in China. The results show the characteristics of “high coupling and low coordination”. At the same time, the coordination level shows a step-like distribution from the southeast coastal areas to the southwest and northwest regions. Through the establishment of PVAR model, it is found that the energy industry agglomeration and economic green development have a circular driving force, while the innovative human capital has a negative effect. The regional heterogeneity mainly exists in the central and western regions.
Another look at thermophilic anaerobic digestion of wastewater sludge

New federal regulations on wastewater sludge management will be implemented in the near future and will have an impact on virtually every biosolids disposal method, including application to agricultural land. Current regulations on land application restrict land use according to the sludge treatment technology, whereas the new regulations will restrict land use based on pathogen destruction criteria. The most flexible land use practices will be allowed for biosolids with low pathogen content (Class A biosolids); for high-temperature sludge treatment processes (geater than 53°C), indicator organism destruction can be used as a measure of pathogen destruction
On the comparison of Shapley values for variance and standard deviation games

Abstract Motivated by the problem of variance allocation for the sum of dependent random variables, Colini-Baldeschi, Scarsini and Vaccari (2018) recently introduced Shapley values for variance and standard deviation games. These Shapley values constitute a criterion satisfying nice properties useful for allocating the variance and the standard deviation of the sum of dependent random variables. However, since Shapley values are in general computationally demanding, Colini-Baldeschi, Scarsini and Vaccari also formulated a conjecture about the relation of the Shapley values of two games, which they proved for the case of two dependent random variables. In this work we prove that their conjecture holds true in the case of an arbitrary number of independent random variables but, at the same time, we provide counterexamples to the conjecture for the case of three dependent random variables.
Multiple cooperative systems obtained by powder metallurgy-like processing method: Adenine containing phthalonitrile/graphene/ Fe3O4 high-performance composites with ultra-high EMI shielding

Adenine containing phthalonitrile (ADCN)/graphene/Fe 3 O 4 composites with excellent EMI performance, outstanding thermal, thermo-oxidative stability, and heat resistance ae introduced. The interactions between ADCN and nanofillers combined with high-energy ball milling-molding sintering processing method ensure the uniform dispersion of nanofillers in the matrix. The EMI shielding effectiveness (EMI SE) of ADCN/G/Fe 3 O 4 is up to 50 dB with only 0.5 mm thickness, which is one of the best EMI performance compared with previous reports on conductive polymer composites (CPCs). The high-performance ADCN polymer introduces outstanding thermal, thermo-oxidative stability and heat resistance into the composites. The T 5% in the air of composites could still maintain more than 491°C, and the EMI value of composites after flame retardancy test could reach 40 dB. The results prove that ADCN/G/Fe 3 O 4 composite is a promising candidate that could be used in the aerospace industry and under extreme working conditions.
Microstructural and thermomechanical simulation of the additive manufacturing process in 316L austenitic stainless steel

Additive manufacturing of an AISI 316L austenitic stainless steel was studied via an integrated thermomechanical and microstructural modelling approach. A finite element technique was employed to evaluate the temperature evolution due to successive material deposition. Heat transfer simulations provided the temperature field history, required to determine the microstructural evolution. Thermodynamic and kinetic simulations were employed to calculate temporal and spatial distribution of phases and alloying elements upon solidification and subsequent thermal cycling. The ensuing microstructural properties could be provided as an input for a mechanical finite element analysis to calculate, based on local mechanical properties, the residual stresses and distortions.
Detection of Subclinical Corneal Ectasia after Laser in Situ Keratomileusis: Corvis ST

Described herein are the cases of 2 patients who underwent bilateral femtosecond-assisted laser in situ keratomileusis (FS LASIK) surgery and subsequently developed unilateral postLASIK ectasia. The fellow eye of both patients was topographically normal, their visual acuity was 20/20, and the patients had no visual symptoms. However, a biomechanical assessment using the Corvis ST tonometer (Oculus Optikgerate GmbH; Wetzlar, Germany) revealed remarkable weakness not only in the ectatic eyes, but also in the fellow eye. Arrangements were made to perform corneal crosslinking for the eyes with manifest ectasia and close follow-up of the fellow eyes.
Assessment of Integral Thermo-Hydraulic Models for Pipeline Transportation of Dense-Phase and Supercritical CO2

The accurate design and economic evaluation of a high-pressure CO2 pipeline transportation network employed as part of any Carbon Capture and Sequestration (CCS) chain requires the availability of reliable thermo-hydraulic models for predicting the pressure drop and temperature and ultimately the fluid phase in a pipeline. In this study, the performance of a number of integral thermo-hydraulic models is examined on the basis of the comparison of their predictions against those obtained using a validated, more rigorous but computationally demanding numerical one-dimensional steady-state flow model. The study is performed for typical 0.4–1.2 m internal diameter pipelines transporting CO2 over distances of up to 100 km at supercritical pressures ranging from 90 to 170 bar and temperatures from 20 to 60 °C. Buried, insulated, and noninsulated above-ground horizontal pipelines are considered in the analysis. The study concludes that, of the integral models examined, (1) the model based on the nonisothermal com.
Pemodelan Faktor-Faktor yang Memengaruhi Ketahanan Pangan di Indonesia Menurut Kabupaten dan Kota Menggunakan Regresi Probit Ordinal

Ketahanan pangan merupakan salah satu topik kompleks yang selalu dibahas di Indonesia dari waktu ke waktu. Berdasarkan UU No.18 tahun 2012 disebutkan bahwa ketahanan pangan ialah kondisi terpenuhinya pangan bagi negara sampai dengan perseorangan, yang tercermin dari tersedianya pangan yang cukup guna keberlangsungan hidup manusia yang sehat, aktif dan produktif. Pada Peta Ketahanan dan Kerentanan Pangan (Food Security and Vulnerability Atlas - FSVA) Indonesia tahun 2018, diketahui bahwa 83% Kabupaten/Kota di Indonesia merupakan daerah tahan pangan, yaitu daerah yang berada pada prioritas 4, 5 dan 6. Pada penelitian ini dilakukan pemodelan menggunakan metode regresi probit ordinal untuk menjelaskan hubungan antara variabel respon berupa variabel kategorik berskala ordinal dengan variabel prediktor kontinu. Pemodelan prioritas ketahanan pangan pada wilayah tingkat kabupaten dan tingkat kota dilakukan secara terpisah karena karakteristik dari keduanya berbeda. Berdasarkan hasil pemodelan prioritas ketahanan pangan pada kabupaten di Indonesia, variabel prediktor yang berpengaruh signifikan terhadap variabel respon berupa prioritas ketahanan pangan adalah angka harapan hidup (X1), persentase penduduk miskin (X2), persentase rumah tangga tanpa akses air bersih (X3), persentase rumah tangga tanpa akses listrik (X4), rata-rata lama sekolah perempuan di atas 15 tahun (X5), persentase balita pendek/stunting (X6) dan rasio konsumsi normatif terhadap ketersediaan bersih serelia (X7) dengan ketepatan klasifikasi sebesar 88,94%. Sedangkan model terbaik untuk pemodelan prioritas ketahanan pangan pada kota di Indonesia, variabel prediktor yang berpengaruh signifikan ialah X1, X2, X3, X5 dan X6 dengan ketepatan klasifikasi sebesar 88,78%.
Penjara Pudu: Demolished Prison of Dark Recollections

Penjara Pudu is one of the oldest buildings in Malaysia. If still standing, Pudu Prison or also known as Pudu Jail would have been 130 years old as of this year (2021). The historic building last held incarcerated individuals in 2007, was demolished in 2012 and was never declared a national heritage site. The purpose of the 3D Modelling is to let society know how Penjara Pudu looked like during its abandoned years after 2012 by using a video walkthrough covering the exterior only. In this study, the texture for the remodel used a displacement map to get more in depth of the textures used. Next, for the lighting, the sky dometesting proved to be the most suitable light to be used in this project. For the rendering process, offline rendering was used to produce the realism of the images in the highest standard. The remaining structure of Penjara Pudu has been captured throughout the site visit which was carried out on the 11 of March 2020. The design and analysis for this 3D mock-up prototype of the whole exterior structure was recreated using polygons and Maya software. By the end of this project, society can now see how Penjara Pudu looked like during its abandoned stage and simultaneously increase their acknowledgement to support our heritage, no matter how dark the recollections.
Inertia enhanced visual SLAM method for postion and pose recognition

This paper focuses on the inertia enhanced visual SLAM (Simultaneous Localization and Mapping) method which fuses the data of IMU (Inertial Measurement Unit) inertial positioning system and the stereoscopic vision ORB-SLAM2 positioning system to solve limitations of application scenarios and accuracy. After fusing IMU data, the visual-inertial SLAM amends the ORB-SLAM2 pose data processing algorithm which can effectively improve the positioning accuracy in the face of some complex scenes, showing that the algorithm has excellent development space.
Bayesian inference of Lévy walks via hidden Markov models

The Lévy walk (LW) is a non-Brownian random walk model that has been found to describe anomalous dynamic phenomena in diverse fields ranging from biology over quantum physics to ecology. Recurrently occurring problems are to examine whether observed data are successfully quantified by a model classified as LWs or not and extract the best model parameters in accordance with the data. Motivated by such needs, we propose a hidden Markov model for LWs and computationally realize and test the corresponding Bayesian inference method. We introduce a Markovian decomposition scheme to approximate a renewal process governed by a power-law waiting time distribution. Using this, we construct the likelihood function of LWs based on a hidden Markov model and the forward algorithm. With the LW trajectories simulated at various conditions, we perform the Bayesian inference for parameter estimation and model classification. We show that the power-law exponent of the flight-time distribution can be successfully extracted even at the condition that the mean-squared displacement does not display the expected scaling exponent due to the noise or insufficient trajectory length. It is also demonstrated that the Bayesian method performs remarkably inferring the LW trajectories from given unclassified trajectory data set if the noise level is moderate.
Laser-driven rapid functionalization of carbon surfaces and its application to the fabrication of fluorinated adsorbers

The use of laser sources can expand the range of applications of photochemical surface functionalization strategies, increasing reaction rate and sample throughput. However, high irradiances can result in thermal effects and/or changes in the mechanism of photoinduced reactions. In this work we report on the use of a pulsed UV laser source for the modification of carbon surfaces using fluorinated terminal alkenes. A perfluorinated alkene, 1H,1H,2H-perfluoro-dec-1-ene (PFD), was used to modify amorphous carbon surfaces using a pulsed excimer laser (248 nm). The rate and yield of photoinduced PFD chemisorption was measured using Infrared Reflectance Absorption Spectroscopy (IRRAS) and compared to that obtained using a continuous lamp source. Quartz Crystal Microbalance (QCM) measurements were also used to obtain quantitative estimates of surface coverage and quantum yields. We found that, under the experimental conditions investigated, PFD chemisorption rates at bare carbon are proportional to the rate of incident photons. Simulations indicated that thermal effects of laser irradiation are expected to be minor, thus supporting the conclusion that the pulsed source can be used to accelerate the reaction rate without leading to changes in reaction mechanism. However, we observed that the limiting chemisorption yield was ∼30% higher for the laser source. We propose that this difference is due to photochemical formation of multilayers, a reaction that is slower than chemisorption at bare carbon, but that becomes evident when very high total fluence is applied via pulsed sources. Finally, we investigated the influence of reaction conditions on the ability of fluorinated carbon surfaces obtained via laser- and lamp-driven reactions to adsorb and capture fluorinated ligands via non-covalent fluorous–fluorous interactions.
Highly Stable Mn4+-Activated Red-Emitting Fluoride Phosphors and Enhanced moisture stability for White LEDs

As a highly productive narrow-band emission red phosphor, K2SiF6:Mn4+ has towardly application market in pc-WLEDs (Phosphor-converted white light-emitting diodes) and LCD (Liquid crystal display). However, the poor moisture resistance property is recognized impediment for generalizing its wider commercialization. Herein, we adopt a simply green and convenient strategy based on Fe2+, which is committed to decreasing the reaction between luminescence center and water. The K2SiF6:Mn4+ as expected exhibits highly efficient red emission upon excitation.
A self-supervised Deep Learning approach for improving signal coherence in Distributed Acoustic Sensing

<p>Fibre-optic Distributed Acoustic Sensing (DAS) is an emerging technology for vibration measurements with numerous applications in seismic signal analysis as well as in monitoring of urban and marine environments, including microseismicity detection, ambient noise tomography, traffic density monitoring, and maritime vessel tracking. A major advantage of DAS is its ability to turn fibre-optic cables into large and dense seismic arrays. As a cornerstone of seismic array analysis, beamforming relies on the relative arrival times of coherent signals along the optical fibre array to estimate the direction-of-arrival of the signals, and can hence be used to locate earthquakes as well as moving acoustic sources (e.g. maritime vessels). Naturally, this technique can only be applied to signals that are sufficiently coherent in space and time, and so beamforming benefits from signal processing methods that enhance the signal-to-noise ratio of the spatio-temporally coherent signal components. DAS measurements often suffer from waveform incoherence, and processing submarine DAS data is particularly challenging. </p><p>In this work, we adopt a self-supervised deep learning algorithm to extract locally-coherent signal components. Owing to the similarity of coherent signals along a DAS system, one can predict the coherent part of the signal at a given channel based on the signals recorded at other channels, referred to as "J-invariance". Following the recent approach proposed by Batson & Royer (2019), we leverage the J-invariant property of earthquake signals recorded by a submarine fibre-optic cable. A U-net auto-encoder is trained to reconstruct the earthquake waveforms recorded at one channel based on the waveforms recorded at neighbouring channels. Repeating this procedure for every measurement location along the cable yields a J-invariant reconstruction of the dataset that maximises the local coherence of the data. When we apply standard beamforming techniques to the output of the deep learning model, we indeed obtain higher-fidelity estimates of the direction-of-arrival of the seismic waves, and spurious solutions resulting from a lack of waveform coherence and local seismic scattering are suppressed. </p><p>While the present application focuses on earthquake signals, the deep learning method is completely general, self-supervised, and directly applicable to other DAS-recorded signals. This approach facilitates the analysis of signals with low signal-to-noise ratio that are spatio-temporally coherent, and can work in tandem with existing time-series analysis techniques. </p><p>References:<br>Batson J., Royer L. (2019), "Noise2Self: Blind Denoising by Self-Supervision", Proceedings of the 36th International Conference on Machine Learning (ICML), Long Beach, California</p>
Enhancement of Disturbance Rejection Capability in Dual Three-Phase PMSM System by Using Virtual Impedance

Dual three-phase permanent magnet synchronous machine systems usually suffer from small impedance to voltage disturbance such as inverter voltage errors and back EMF harmonics. This article proposes a virtual impedance technique to increase the machine equivalent impedance and, thus, enhance the disturbance rejection capability of the system. This enhancement can contribute to current harmonic suppression in a wide range of frequencies. In addition, the introduction of virtual impedance can also reduce the system sensitivity to parameter variation, which helps to suppress the dynamic current overshoot, pulsating, and cross-coupling effect caused by the parameter mismatch. Simulation and experimental results have verified the effectiveness of the proposed control strategy.