Miracle-dz/UniFAR-FTUs huggingface dataset:
Accuracy and dosimetric parameters comparison of 3D-printed non-coplanar template-assisted computed tomography-guided iodine-125 seed ablative brachytherapy in pelvic lateral recurrence of gynecological carcinomas

Purpose To investigate the accuracy of needle distribution and dosimetric parameter differences of 3D-printing non-coplanar template (3D-PNCT)-assisted computed tomography (CT)-guided iodine-125 seed ablative brachytherapy (125I-SAB) in gynecological cancer patients with non-central pelvic recurrence between pre-operative plan and post-operative plan. Material and methods Thirty-eight patients with forty-one non-central pelvic recurrent gynecological carcinomas after radiotherapy were enrolled in this study. All patients received 3D-PNCT-assisted CT-guided 125I-SAB from January 2016 to January 2019. The position, angle, and depth of seed needles were measured in both pre-operative plan and intra-operative real-time plan in brachytherapy treatment planning system (B-TPS). Dosimetric parameters of D90, D100, V100, V150, and V200 as well as quality parameters of conformal index (CI), external index (EI), and homogeneity index (HI) were compared between pre-operative plan and post-operative plan. Peri-operation complications and radiation-related toxicity were assessed. Results Median follow-up time was 12 months (range, 5-34 months). Prescribed dose was 100-170 Gy (median, 120 Gy). Radioactivity of 125I seed was 0.4-0.7 mCi (median, 0.55 mCi). Mean depth deviation for 499 needles was 0.8 ±1.0 cm. Mean angular deviation was 2.2 ±2.1 degrees. Mean tip distance deviation of needles was 0.4 ±0.3 cm. There were significant differences between pre-operative and post-operative plans in CI (p = 0.001) and EI (p = 0.005). No significant differences were shown in D90, D100, V100, V150, V200, and HI between pre-operative and post-operative plans. Only few patients suffered from ≤ grade 2 toxicities. Conclusions 3D-PNCT-assisted CT-guided 125I-SAB is safe and feasible for non-central pelvic recurrence of gynecological cancer. All complications are tolerable and mild.
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System

In this study, we introduce a multi-unmanned aerial vehicle (multi-UAV) enabled mobile edge computing (MEC) system, with UAVs as the computing server for the task offloading of ground users. The energy consumption for ground users is minimized by jointly optimizing the UAV task scheduling, bit allocation, and UAV trajectory in a unified framework. To accomplish such goal, we propose a two-layer optimization strategy, where the upper layer optimizes the UAV task scheduling based on a dynamic programming-based bidding optimization method, while the lower one solves the bit allocation and UAV trajectory. In particular, the lower layer is decoupled into several subproblems to reduce the computational complexity, which can be easily solved using an alternating direction method of multipliers. However, the UAV trajectories optimized by solving the decoupled subproblems may lead to path conflicts. As such, we further propose a re-optimization strategy to eliminate such conflicts. Experimental results demonstrate that the proposed strategy achieves a favorable performance than those of greedy and random strategies in terms of total user energy consumption, the trajectory conflicts can be eliminated effectively, and the UAV trajectory can satisfy the safety constraints.
Imbalance-Tolerant Bit-Line Sense Amplifier for Dummy-Less Open Bit-Line Scheme in DRAM

In a conventional open bit-line scheme of DRAM, the edge subarrays (MATs) located at both ends of the cell array block contain alternated real and dummy bit-lines, unavoidably leading to an additional area overhead. To reduce the area overhead, one edge MAT can be eliminated by converting the dummy bit-lines of the other edge MAT into real bit-lines. This strategy causes the conventional bit-line sense amplifiers (BLSAs) in the MATs located at both ends of the cell array block to have a much smaller complementary bit-line capacitance than a true bit-line capacitance. Thus, the sensing operation of a conventional BLSA with this unbalanced bit-line capacitance experiences various problems: sensing voltage decrease, data flipping, and asymmetric equalization. To solve these problems, we propose a novel sensing circuit that can operate effectively even under unbalanced bit-line capacitance, thus suggesting the possibility of an open bit-line scheme without dummy bit-lines. Our proposed dummy-less open bit-line scheme can save approximately 4% of the array height. Compared with the conventional unbalanced BLSA, the proposed BLSA increases the sensing voltage by more than 100%, reduces the voltage peaks by 30% during the data transfer, and reduces equalization time by 1.2 ns in HSPICE Monte Carlo simulation.
Decomposition-Based Soil Moisture Estimation Using UAVSAR Fully Polarimetric Images

Polarimetric decomposition extracts scattering features that are indicative of the physical characteristics of the target. In this study, three polarimetric decomposition methods were tested for soil moisture estimation over agricultural fields using machine learning algorithms. Features extracted from model-based Freeman–Durden, Eigenvalue and Eigenvector based H/A/α, and Van Zyl decompositions were used as inputs in random forest and neural network regression algorithms. These algorithms were applied to retrieve soil moisture over soybean, wheat, and corn fields. A time series of polarimetric Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) data acquired during the Soil Moisture Active Passive Experiment 2012 (SMAPVEX12) field campaign was used for the training and validation of the algorithms. Three feature selection methods were tested to determine the best input features for the machine learning algorithms. The most accurate soil moisture estimates were derived from the random forest regression algorithm for soybeans, with a correlation of determination (R2) of 0.86, root mean square error (RMSE) of 0.041 m3 m−3 and mean absolute error (MAE) of 0.030 m3 m−3. Feature selection also impacted results. Some features like anisotropy, Horizontal transmit and Horizontal receive (HH), and surface roughness parameters (correlation length and RMS-H) had a direct effect on all algorithm performance enhancement as these parameters have a direct impact on the backscattered signal.
Determinants of Waterpipe Smoking Among Women: A Systematic Review

Background: The present study aimed to assess the determinants of waterpipe smoking among women based on a systematic review regarding the increasing prevalence of waterpipe smoking in women and the tendency of them to this type of tobacco. Methods: The present study was a systematic review. The search strategies were based on using a combination of MeSH and free-text terms. Searches were performed inIranian databasesand PubMed, ScienceDirect, Web of Science, EMBASE, Scopus and Medline. Databases inclusion criteria included articles and gray literature in English or Persian, published between January 2000 and December 2018. The keywords were related to women and waterpipe and related terms. The quality of the articles was assessed using the EPHPP tool. Results: In the initial search, out of 1027 articles, 15 articles were studied. Inclusion criteria in this study were the target population of women and girl and descriptive and qualitative studies on waterpipe use among women. The mean prevalence of waterpipe smoking in quantitative studies was 13.980/0. Studies have shown that waterpipe smoking in women is influenced by several individual (awareness, favorable attitudes, and positive prototype), interpersonal (role of family and friends), and socio-political factors. Conclusions: Due to the influence of various determinants on women's inclination to waterpipe smoking, there is a necessity to act and impose interventions such as lessening women's favorable attitude toward waterpipe, increasing women's awareness, encouraging negative prototype about waterpipe smoking, and restricting access to tobacco products that can be useful. Interpersonal factors such as the role of family and friends are one of the major determinants in waterpipe smoking. It seems that developing the skill of saying “no” to the pressure of friends can help prevent waterpipe use. Furthermore, educating the family about the risks of waterpipe use is an effective strategy in this respect.
Evaluating the surface hairiness of woven fabric belts with a yarn hairiness tester

Abstract Fabric surface hairiness has a decisive effect on the fabric processing performance and the resultant garment quality. In practice, current testing of fabric hairiness still cannot be conducted like the routine testing of yarn hairiness. With the aim of conducting fabric hairiness testing routinely, a novel method of testing woven fabric belt hairiness was proposed in this study, using a yarn hairiness meter. For practical experiments, a woven fabric sample was firstly slit and then the slit sections were connected as a continuous belt. A belt support and some belt guides were applied to guarantee the continuous feeding of the belt into a yarn hairiness detector zone, where the belt surfaces were vertical to the laser emissioner and the hairiness detector surfaces. Consequently, hairiness of both surfaces of the belt was projected and fully mapped on the detector surface. Experimental results showed that the fabric belt hairiness was successfully tested in terms of the hairiness length, number and distributions; fabric belts with different hairiness levels before and after hair-cutting could be effectively identified. In particular, the representative true hairiness of the woven fabric belt could be calculated by subtracting the tested hairiness value of 3 mm wide belt to that of 2 mm wide belt. Comparative analysis indicated that our method was more suitable for routine testing of woven fabric hairiness than other current methods.
Selective Degradation of Mitochondria by Mitophagy in Pathogenic Fungi

Selective mitochondrial autophagy or mitophagy is an evolutionarily conserved cellular process that selectively degrades superfluous, damaged, and dysfunctional mitochondria. This process is believed to be a mitochondrial quality control system crucial for intracellular homeostasis. Recently, researchers developed a range of methods to induce mitophagy and a variety of assays to monitor this process. With these new methods, the research on mitophagy has been developed rapidly. In particular, some key receptors and regulatory factors in fungi have been identified, which provides a basis for further understanding of the mechanism of this process. Although it has been studied extensively in the model yeast Saccharomyces cerevisiae, mitophagy in pathogenic fungi remains poorly understood. However recent studies have shown that mitophagy is involved in the regulation of pathogenicity of pathogenic fungi, which greatly increases the importance of mitophagy. Therefore, it is necessary to review the current research on mitophagy in order to provide an accurate understanding of mitophagy and promote mitophagy research in the pathogenic fungi.
Adaptation of Vehicular Ad hoc Network Clustering Protocol for Smart Transportation

: Clustering algorithms optimization can minimize topology maintenance overhead in large scale vehicular Ad hoc networks (VANETs) for smart transportation that results from dynamic topology, limited resources and non-centralized architecture. The performance of a clustering algorithm varies with the underlying mobility model to address the topology maintenance overhead issue in VANETs for smart transportation. To design a robust clustering algorithm, careful attention must be paid to components like mobility models and performance objectives. A clustering algorithm may not perform well with every mobility pattern. Therefore, we propose a supervisory protocol (SP) that observes the mobility pattern of vehicles and identifies the realistic Mobility model through microscopic features. An analytical model can be used to determine an efficient clustering algorithm for a specific mobility model (MM). SP selects the best clustering scheme according to the mobility model and guarantees a consistent performance throughout VANET operations. The simulation has performed in three parts that is the central part simulation for setting up the clustering environment, In the second part the clustering algorithms are tested for efficiency in a constrained atmosphere for some time and the third part represents the proposed scheme. The simulation results show that the proposed scheme outperforms clustering algorithms such as honey bee algorithm-based clustering and memetic clustering in terms of cluster count, re-affiliation rate, control overhead and cluster lifetime.
Photocatalytic Degradation of 4-Chlorophenol Using TiO2 and Pt-TiO2 Nanoparticles Prepared by Sol-Gel Method

Abstract The photocatalytic degradation of 4-Chlorophenol (4-CP) in aqueous solution has been carried out with TiO2 nanoparticles, prepared by sol-gel method. The effects of various factors, such as different calcination temperatures of TiO2, amount of catalysts, and intensity of light sources were attempted for the efficient degradation of 4-CP. Pt doped TiO2 photocatalysts were also prepared by photo-reduction method and applied for 4-CP degradation. Pt-TiO2 catalysts showed higher rate of degradation of 4-CP than the P-25, commercially available TiO2 . Multi-wall carbon nano-tubes (CNTs) were used as solid support for TiO2 catalysts and proved to be useful materials to speed up the settling process within 1 h after the reaction was over. The intermediate products formed during the degradation of 4-CP were identified using LC-MS.
How to build consumer trust towards e-satisfaction in e-commerce sites in the covid-19 pandemic time?

Article history: Received: September 20, 2020 Received in revised format: January 15, 2021 Accepted: January 16, 2021 Available online: January 16, 2021 The Covid-19 pandemic has limited freedom of movement. E-commerce sites are growing rapidly and are becoming the main choice today when the virus becomes more prevalent. Trust is the key in creating online shopping satisfaction on e-commerce sites. This research was conducted to determine the effect of E-Service Quality and E-Security on Trust towards E-Satisfaction in the largest e-commerce site in Indonesia called Tokopedia. The research method used is quantitative. The population in this research is Tokopedia customers who are members of the Facebook group with a sample size of 400 people. The results of the study show that there was a relationship between the E-Service Quality and Trust, there was no relationship between the E-Service Quality and E-Satisfaction, there was a relationship between the E-Security variable and Trust, there was a relationship between the E-Security variable and E-Satisfaction. There was also a joint influence of E-Service Quality and E-Security variables on Trust, there was a relationship between the Trust variable and E-Satisfaction. This research is a development from the previous research where there was an effect of E-Service Quality and E-Security on E-Satisfaction. By adding the Trust variable as a moderate variable and E-Satisfaction as the dependent variable, the researchers found that the impact of Trust on E-Satisfaction was greater than the direct effect between E-Service Quality and E-Security on E-Satisfaction. Based on these results, it can be seen that the level of trust can increase E-Satisfaction. © 2021 by the authors; licensee Growing Science, Canada.
The Importance of the Measurement Infrastructure in Economic Recovery from the COVID-19 Pandemic

This paper describes the many, evidenced-based benefits to the economy of a well-developed measurement infrastructure. In particular, it explains how assuring confidence in measurement may be used to accelerate economic recovery from the COVID-19 pandemic including in emerging sectors such as the digital economy. Recommendations are made for providing near term support for national economic recovery whilst also demonstrating the advantages of sustained development of the measurement infrastructure in the medium-term to maximize the potential of future innovative and disruptive technologies. These recommendations, whilst focused on consideration of the UK, should apply globally.
Monodirectional Evolutional Symport Tissue P Systems With Promoters and Cell Division

Monodirectional tissue P systems with promoters are natural inspired parallel computing paradigms, where only symport rules are permitted, and with the restriction of “monodirectionality”, objects for two given regions are transferred in one direction. In this article, a novel kind of P systems, monodirectional evolutional symport tissue P systems with promoters (MESTP P systems) is raised, where objects may be revised during the movement between two regions. The computational theory of MESTP P systems that rules are employed in a flat maximally parallel pattern is investigated. We prove that finite natural number sets are created by MESTP P systems applying one cell, at most 1 promoter and all evolutional symport rules having a maximal length 2 or with arbitrary number of cells, promoters and all evolutional symport rules having a maximal length 2. MESTP P systems are Turing universal when two cells, at most 1 promoter and all evolutional symport rules having a maximal length 2 are employed. In addition, with the help of cell division mechanism, monodirectional evolutional symport tissue P systems with promoters and cell division (MESTPD P systems) are employed to solve NP-complete (the SAT) problem, where system uses at most 1 promoter and all evolutional symport rules having a maximal length 3. These results show that MESTP(D) P systems are still computationally powerful even if monodirectionality control mechanism is imposed, thereby developing membrane algorithms for MESTP(D) P systems is theoretically possible as well as potentially exploitable.
Post-chemluminescence Reaction of Some Nitrogenous Organic Compounds in the N-Chlorosuccinimide-dichlorofluorescein System

The post-chemiluminescence behavior of fifty three kinds of nitrogenous organic compounds was studied in the N-chlorosuccinimide-dichlorofluorescein system. Many substances were found to have the post-chemiluminescence activity in the system. After the analysis for the structure of these nitrogenous organic compounds,it was found that the state of the N atom in the molecules was important to the post-chemiluminescence activity and the post-chemiluminescence intensity of the nitrogenous organic compounds. The possible reaction mechanism of the post-chemiluminescence reaction was proposed based on the studies of the chemiluminescence kinetic characteristics,the chemiluminescence spectra and the fluorescence spectra of some related substances. The application value of these post-chemiluminescence reactions in analytical chemistry was estimated.
Regularization-Based Coflow Scheduling in Optical Circuit Switches

To improve the application-level data efficiency, the scheduling of coflows, defined as a collection of parallel flows sharing the same objective, is prevailing in recent data centers. Meanwhile, optical circuit switches (OCS) are gradually applied to provide high data rate with low power consumption. However, so far few research outputs have covered the flow, let alone the coflow, scheduling in the context of OCS. In this work, we investigate coflow scheduling in OCS-based data centers. We first derive a novel operation called <italic>regularization</italic> processed respectively on the flow traffic demands and the flow start times, which can be efficiently implemented and reduce the circuit reconfiguration frequency dramatically. We then propose a 2-approximation algorithm, called <monospace>Reco-Sin</monospace>, for single coflow scheduling to minimize the coflow completion time (CCT). For multiple coflows, we derive <monospace>Reco-Mul</monospace> to minimize the total weighted CCT, which can transform any non-preemptive multi-coflow scheduling in packet switches to a scheduling scheme in OCS. <monospace>Reco-Mul</monospace> can achieve a constant approximation under the assumption that no tiny flows will be transmitted in OCS. To get rid of this assumption, we present another multiple coflow scheduling scheme, named <monospace>Reco-Mul+</monospace>, which has an approximation ratio of <inline-formula> <tex-math notation="LaTeX">$O(K)$ </tex-math></inline-formula>. Here, <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> is the total number of coflows. Extensive simulations based on <monospace>Facebook</monospace> data traces show that our approaches outperform state-of-the-art schemes significantly, i.e., one single coflow can be finished up to <inline-formula> <tex-math notation="LaTeX">$1.97\times $ </tex-math></inline-formula> faster with <monospace>Reco-Sin</monospace>, and multiple coflows can be completed up to more than <inline-formula> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> faster with <monospace>Reco-Mul</monospace> and <monospace>Reco-Mul+</monospace>.
Determinants of Attitudes of Computer Users: an Approach to the Technology Acceptance Model and Social Cognitive Theory

This work desires to observe and analyze (1) the computer anxiety consequence, selfadequacy of technology, perceived playfulness and understood ease of use the approach of using computers; (2) the consequence of computer anxiety, computer self-adequacy, and perceived playfulness, on the attitude of using computers mediated by. This study is a significant research and uses survey methods with data collection techniques using questionnaires and data analyzed using AMOS statistical software. The outcomes demonstrated that (1) computer self-adequacy, perceived playfulness and had a serious influence on the mentality of utilizing computers; (2) computer anxiety doesn’t have a straight influence on the attitude of using a computer; and (3) computer self-efficacy, computer anxiety and perceived playfulness have a serious influence on the potential of using computers across whole variable anticipated usability. This research can give to the development of science and technology with the Technology Acceptance Model and Social Cognitive Theory which theoretically can provide evidence and support for the progress of research in the scope of behavioral accounting, can form a positive attitude of students in the learning process so as to produce outstanding graduates who are able to accept technological developments.
Quantum Learning-Enabled Green Communication for Next-Generation Wireless Systems

Next generation wireless systems have witnessed significant R&D attention from academia and industries to enable wide range of applications for connected environment around us. The technical design of next generation wireless systems in terms of relay and transmit power control is very critical due to the ever-reducing size of these sensor enabled systems. The growing demand of computation capability in these systems for smart decision making further diversified the significance of relay and transmit power control. Towards harnessing the benefits of Quantum Reinforcement Leaning (QRL) in the design of next generation wireless systems, this article presents a framework for joint optimal Relay and transmit Power Selection (QRL-RPS). In QRL-RPS, each sensor node learns using its present and past local state’s knowledge to take optimal decision in relay and transmit power selection. Firstly, RPS problem is modelled as a Markov Decision Process (MDP), and then QRL optimization aspect of the MDP problem is formulated focusing on joint optimization of energy consumption and throughput as network utility. Secondly, a QRL-RPS algorithm is developed based on Grover’s iteration to solve the MDP problem. The comparative performance evaluation attests the benefit of the proposed framework as compared to the state-of-the-art techniques.