Miracle-dz/UniFAR-FTUs huggingface dataset:
The Application of Low Impact Development Facility Chain on Storm Rainfall Control: A Case Study in Shenzhen, China

In recent decades, low impact development (LID) has become an increasingly important concern as a state-of-the-art stormwater management mode to treat urban flood, preferable to conventional urban drainage systems. However, the effects of the combined use of different LID facilities on urban flooding have not been fully investigated under different rainfall characteristics. In this study, a residential, neighborhood-scale catchment in Shenzhen City, southern China was selected as a case study, where the effects of four LID techniques (bio-retention, bio-swale, rain garden and pervious pavement) with different connection patterns (cascaded, semi-cascaded and paralleled) on runoff reduction efficiency were analyzed by the storm water management model (SWMM), promoted by the U.S. EPA. Three kinds of designed storm events with different return periods, durations and time-to-peak ratios were forced to simulate the flood for holistic assessment of the LID connection patterns. The effects were measured by the runoff coefficient of the whole storm–runoff process and the peak runoff volume. The results obtained indicate that the cascaded connect LID chain can more effectively reduce the runoff than that in the paralleled connect LID chain under different storms. The performances of the LID chains in modeling flood process in SWMM indicate that the runoff coefficient and the peak runoff volume increase with the increase in the rain return periods and the decrease in rain duration. Additionally, the move backward of the peak rain intensity to the end of the storm event slightly affects the peak runoff volume obviously while gives slight influence on the total runoff volume. This study provides an insight into the performance of LID chain designs under different rainfall characteristics, which is essential for effective urban flood management.
A New Approach to Design Policies for the Adoption of Alternative Fuel-Technology Powertrains

Planning the transition period for the adoption of alternative fuel-technology powertrains is a challenging task that requires sophisticated analysis tools. In this study, a system dynamic approach was applied to analyze the bi-directional interaction between the development of the refueling station network and vehicle sales. Besides, the developed model was used to estimate the transition cost to reach a predefined target (share of alternative fuel vehicles) in different scenarios. Several scenarios have been analyzed to investigate the effectiveness and cost of incentives on the initial price of vehicles, and on the evolution of fuel and refueling stations. Obtained results show that a combined set of incentives will be more effective than just a single specific type of incentives. Keywords—adoption of Alternative Fuel Vehicles,System Dynamic Analysis, Plug-in Hybrid Vehicles
Clinical Approach to Neuroendocrine Neoplasm Associated With Ovarian Teratoma

Background Neuroendocrine neoplasms are a heterogeneous group of cancers that develop from enterochromaffin cells of the diffuse endocrine system, with an increase in incidents over the last years. Ovarian neuroendocrine tumors (NET) are rare neoplasms, comprising 0.1% of all ovarian neoplasms and less than 5% of all neuroendocrine tumors. They may arise alone (as monodermal, specialized teratoma – ovarian carcinoid) or as a part of other ovarian lesion: cystic mature or immature teratomas. Due to the rarity and limited amount of such cases reported in the literature, there is no consensus on diagnostic and therapeutic procedures in this group of patients. Materials and Methods The group of 10 patients at the age of 19 to 77 years (mean 42.8 ± 17.9), diagnosed with unilateral NET within ovarian teratoma were analyzed. The histopathological type of tumor, progression free survival after surgical treatment and presence of hormonally active syndrome were assessed. Results 70% (n=7) of patients was diagnosed with mature cystic teratomas containing NET component and 30% (n=3) with monodermal teratoma (strumal carcinoid). All cases of monodermal teratomas were found in women at premenopausal age. Determined Ki67 ranged from 2% to 9%. Ninety percent of lesions (n=9) stained positive for synaptophysin and chromogranin, while markers: CK20, CK7, TTF-1 and CDX2 were negative in all cases, which ruled out their metastatic nature. None of the patients presented with carcinoid syndrome. All followed-up patients remain progression-free, which confirms surgical intervention being a crucial and sufficient method of treatment. Conclusions The prognosis and clinical behavior of NETs associated with ovarian teratomas are good with long progression-free survival.
Station-keeping of the Autonomous Airship Using Adaptive Pursuit Guidance Law

The long-endurance station-keeping capability makes the autonomous airship a desirable platform to provide communication and surveillance services. An adaptive pursuit guidance law is proposed to realize the station-keeping of the airship under the influence of the unknown wind. The wind speed is estimated by an adaptive mechanism which is incorporated with the pursuit guidance law to guarantee the convergence to the mission site and realize station-keeping flight with the airspeed equal to the wind speed. The information required by the guidance law is easy to obtain. The results of the simulation show the effectiveness of the adaptive pursuit guidance law.
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology

Recording neuronal activity with penetrating extracellular multi-channel electrode arrays, more commonly known as neural probes, is one of the most widespread approaches to probe neuronal activity. Despite a plethora of available extracellular probe designs, the time-consuming process of mapping of electrode channel order and relative geometries, as required by spike-sorting software is invariably left to the end-user. Consequently, this manual process is prone to mis-mapping mistakes, which in turn lead to undesirable spike-sorting errors and inefficiencies. Here, we introduce ProbeInterface, an open-source project that aims to unify neural probe metadata descriptions by removing the manual step of probe mapping prior to spike-sorting for the analysis of extracellular neural recordings. ProbeInterface is first of all a Python API, which enables users to create and visualize probes and probe groups at any required complexity level. Second, ProbeInterface facilitates the generation of comprehensive wiring description in a reproducible fashion for any specific data-acquisition setup, which usually involves the use of a recording probe, a headstage, adapters, and an acquisition system. Third, we collaborate with probe manufacturers to compile an open library of available probes, which can be downloaded at run time using our Python API. Finally, with ProbeInterface we define a file format for probe handling which includes all necessary information for a FAIR probe description and is compatible with and complementary to other open standards in neuroscience.
Impacts of Visualizations on Decoy Effects

The decoy effect is a well-known, intriguing decision-making bias that is often exploited by marketing practitioners to steer consumers towards a desired purchase outcome. It demonstrates that an inclusion of an alternative in the choice set can alter one’s preference among the other choices. Although this decoy effect has been universally observed in the real world and also studied by many economists and psychologists, little is known about how to mitigate the decoy effect and help consumers make informed decisions. In this study, we conducted two experiments: a quantitative experiment with crowdsourcing and a qualitative interview study—first, the crowdsourcing experiment to see if visual interfaces can help alleviate this cognitive bias. Four types of visualizations, one-sided bar chart, two-sided bar charts, scatterplots, and parallel-coordinate plots, were evaluated with four different types of scenarios. The results demonstrated that the two types of bar charts were effective in decreasing the decoy effect. Second, we conducted a semi-structured interview to gain a deeper understanding of the decision-making strategies while making a choice. We believe that the results have an implication on showing how visualizations can have an impact on the decision-making process in our everyday life.
Influence of bending strains on radio frequency characteristics of flexible microwave switches using single-crystal silicon nanomembranes on plastic substrate

This letter presents radio frequency (RF) characterization of flexible microwave switches using single-crystal silicon nanomembranes (SiNMs) on plastic substrate under various uniaxial mechanical tensile bending strains. The flexible switches shows significant/negligible performance enhancement on strains under on/off states from dc to 10 GHz. Furthermore, an RF/microwave strain equivalent circuit model is developed and reveals the most influential factors, and un-proportional device parameters change with bending strains. The study demonstrates that flexible microwave single-crystal SiNM switches, as a simple circuit example towards the goal of flexible monolithic microwave integrated circuits, can be properly operated and modeled under mechanical bending conditions.
Temporal Information Extraction for Afforestation in the Middle Section of the Yarlung Zangbo River Using Time-Series Landsat Images Based on Google Earth Engine

Afforestation is one of the most efficient ways to control land desertification in the middle section of the Yarlung Zangbo River (YZR) valley. However, the lack of a quantitative way to record the planting time of artificial forest (AF) constrains further management for these forests. The long-term archived Landsat images (including the Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI)) provide a good opportunity to capture the temporal change information about AF plantations. Under the condition that there would be an abrupt increasing trend in the normalized difference vegetation index (NDVI) time-series curve after afforestation, and this characteristic can be thought of as the indicator of the AF planting time. To extract the indicator, an algorithm based on the Google Earth Engine (GEE) for detecting this trend change point (TCP) on the maximum NDVI time series within the growing season (May to September) was proposed. In this algorithm, the time-series NDVI was initially smoothed and segmented into two subspaces. Then, a trend change indicator Sdiff was calculated with the difference between the fitting slopes of the subspaces before and after each target point. A self-adaptive method was applied to the NDVI series to find the right year with the maximum TCP, which is recorded as the AF planting time. Based on the proposed method, the AF planting time of the middle section of the YZR valley from 1988 to 2020 was derived. The detected afforestation temporal information was validated by 222 samples collected from the field survey, with a Pearson correlation coefficient of 0.93 and a root mean squared error (RMSE) of 2.95 years. Meanwhile, the area distribution of the AF planted each year has good temporal consistency with the implementation of the eco-reconstruction project. Overall, the study provides a good way to map AF planting times that is not only helpful for sustainable management of AF areas but also provides a basis for further research on the impact of afforestation on desertification control.
A Clinical Study on the Efficacy and Tolerability of a New Topical Gel and Toothpaste in Patients with Xerostomia: A Randomized Controlled Trial

Objective: xerostomia is a very common problem in the general population. The objective of this study was to determine the efficacy of a new gel and toothpaste in patients with xerostomia, analyze the role of salivary cytokines as biomarkers of xerostomia and assess the possible changes in salivary cytokines following treatment. Materials and methods: A randomized, controlled double-blind clinical study was carried out in 73 patients with xerostomia divided into two groups: placebo and active treatment (cymenol; tocopheryl acetate; D-panthenol; Aloe barbadensis; citrate tribasic dihydrate; fluoride) with oral gel and toothpaste three times a day for four consecutive weeks. The Thomson Xerostomia Inventory was applied, with the assessment of oral quality of life (OHIP-14) at baseline and after four weeks of application of the product. Sialometry was also performed in both groups, with analysis of the IL-1b, IL-6, IL-8 and TNFa levels in saliva. Results: In the active treatment group, the xerostomia scores decreased significantly at the end of the study versus baseline, from 33.47 to 27.93 (p < 0.001). No significant decrease was recorded in the placebo group (34.5 to 32.75; p = 0.190). There were no adverse effects in either group. Regarding the saliva samples, the active treatment group showed significant differences in IL-6 concentration versus the control group (18.55 pg/mL (8–38.28) and 5.83 pg/mL (1.19–12.04), respectively; p = 0.002). No significant differences in salivary cytokines were observed in either the treatment group or the control group. Conclusions: The use of a new toothpaste and gel developed for patients with xerostomia proved effective, with greater symptom relief than in the placebo group. Further clinical studies involving longer time periods and larger samples are advisable in order to confirm the benefits of the described treatment.
Recent developments and future challenges of forward osmosis for desalination: a review

Abstract This article focuses on the recent developments of forward osmosis (FO) for desalination and the challenges it faced. Issues discussed include membrane, configuration, draw solution, integration with post-treatment, and energy and economic evaluation. In spite of the potential advantages of FO, there exist a number of technical barriers that impede FO’s application for water desalination. Further membrane development is needed to give high water flux, low reverse solute flux and material stability over the operating pH range. It is currently not economically viable to use NaCl as the draw solute for municipal scale FO desalination in view of the solute loss through the membrane. Progress in post-treatment is also needed, because FO cannot stand as a single process, but has to be integrated with a post treatment to regenerate draw solution and produce desalinated water that meets the required standards. A FO–RO process is technically feasible, but economically unviable due to energy consideration.
Local Community Participation and Responsible Tourism Practices in Ecotourism Destination: A Case of Lower Kinabatangan, Sabah

Recognizing the importance of local community participation in responsible tourism and its benefits, this case study explores and analyses the local community participation and responsible tourism practices at Lower Kinabatangan, Sabah, a premier ecotourism destination from the stakeholders’ perspectives. It also describes the perception and attitudes towards tourism development including the key issues and challenges faced by the local communities. The case study adopted multiple methods involving focus-group interviews and survey questionnaires with the respective local communities residing in Lower Kinabatangan. Findings reveal that local communities recognized that Lower Kinabatangan has great potential to be developed as a sustainable ecotourism destination and to generate economic benefit. Despite this, there is limited participation of local communities in ecotourism development and responsible tourism practices among the local communities. The socio-economic demographic of the local community shows that only 42.4% of respondents have work related to tourism activities. Lack of capital and knowledge in tourism activities are the key barriers for local participation in ecotourism development. For Lower Kinabatangan to be a sustainable ecotourism destination, the participation and engagement of the local community and the practices of responsible tourism can no longer be ignored.
Deep Convolutional Symmetric Encoder - Decoder Neural Networks to Predict Students' Visual Attention

Prediction of visual attention is a new and challenging subject, and to the best of our knowledge, there are not many pieces of research devoted to the anticipation of students’ cognition when solving tests. The aim of this paper is to propose, implement, and evaluate a machine learning method that is capable of predicting saliency maps of students who participate in a learning task in the form of quizzes based on quiz questionnaire images. Our proposal utilizes several deep encoder–decoder symmetric schemas which are trained on a large set of saliency maps generated with eye tracking technology. Eye tracking data were acquired from students, who solved various tasks in the sciences and natural sciences (computer science, mathematics, physics, and biology). The proposed deep convolutional encoder–decoder network is capable of producing accurate predictions of students’ visual attention when solving quizzes. Our evaluation showed that predictions are moderately positively correlated with actual data with a coefficient of 0.547 ± 0.109. It achieved better results in terms of correlation with real saliency maps than state-of-the-art methods. Visual analyses of the saliency maps obtained also correspond with our experience and expectations in this field. Both source codes and data from our research can be downloaded in order to reproduce our results.
Comparison of Environmental Effects of Steel- and Concrete-Framed Buildings

In order to create an environmentally-conscious building, the environmental impacts of the entire service life must be known. Life-cycle assessment (LCA), which evaluates the impacts from all life-cycle phases, from “cradle to grave,” is the best method to achieve this goal. In this paper, LCA is used to quantify the energy use and the environmental emissions during the construction phase of two typical office buildings, one with a structural steel frame and one with a cast-in-place concrete frame, and then these are put in the perspective of the overall service life of each building. The concrete structural-frame construction has more associated energy use, C O2 , CO, N O2 , particulate matter, S O2 , and hydrocarbon emissions due to more formwork used, larger transportation impacts due to a larger mass of materials, and longer equipment use due to the longer installation process. In contrast, the steel-frame construction has more volatile organic compound (VOC) and heavy metal (Cr, Ni, Mn) emissions due.
Yeast Two-Hybrid Screen Identifies PKA-Riα Interacting Proteins during Mouse Spermiogenesis

cAMP-dependent protein kinase (PKA) signaling plays various roles during mammalian spermatogenesis, ranging from the regulation of gene expression to the modulation of sperm motility. However, the molecular mechanisms that govern the multifaceted functions of PKA during spermatogenesis remain largely unclear. We previously found that PKA regulatory subunit I α (RIα) and catalytic subunit α (Cα) co-sediment with polyribosomal fractions of mouse testis lysate on sucrose gradient and the stimulation of PKA activity facilitates protein synthesis in post-meiotic elongating spermatids, indicating that type I PKA is intricately associated with protein translation machinery and regulates protein synthesis during mouse spermiogenesis. Since PKA activity is often regulated by interacting proteins that form complexes with its regulatory subunits, the identification of PKA-RIα interacting proteins in post-meiotic spermatogenic cells will facilitate our understanding of its regulatory roles in protein synthesis and spermiogenesis. In the present study, we applied a yeast two-hybrid screen to identify PKA-Riα-binding proteins using a cDNA library generated from mouse round and elongating spermatids. Numerous proteins were found to potentially interact with PKA-RIα, including proteostasis modulators, metabolic enzymes, cytoskeletal regulators, and mitochondrial proteins, many of which are specifically expressed in testes. Consistently, the examination of MENA (mouse ENA/VASP homolog) in developing mouse testes suggested that post-meiotic spermatogenic cells express a short isoform of MENA that interacts with PKA-RIα in yeast two-hybrid assay. The identification of PKA-RIα interacting proteins provides us solid basis to further explore how PKA signaling regulates protein synthesis and cellular morphogenesis during mouse spermatogenesis.
PERFORMANCE STUDY OF FOUR MIRROR LASER RESONATOR FOR 6 m MINIMUM BEAM SIZE USING GREEN LASER OSCILLATOR

The Accelerator Test Facility (ATF) was constructed at KEK to study low emittance beam physics and to develop the technologies associated with it. In ATF damping ring, electron beam size is measured with laser wire system based on Compton scattering. A new four mirror laser wire system is developed for this purpose. This system has many advantages over two mirror laser wire system. Four mirror resonator reduces the sensitivity towards misalignment as compare to two mirror resonator. Measured Finesse of resonator is more than 4000. Optical cavity has enhancement factor of 1900. Inside ATF damping ring, electron beam has very small size of 10 in vertical direction. To measure electron beam profile, very thin laser beam size is needed. Laser waist size, around 6 in sagittal plane is achieved in between two concave mirrors. Special type of mirror alignment scheme is used to make a compact four mirror optical cavity. Laser resonator is designed to work in vacuum environment with a complex mirror holder design . We report the performance studies of such four mirror resonator using 532 nm CW laser oscillator in this research.
Analysis of significant stratospheric ozone reductions over southern Brazil: A proposal for a diagnostic index for southern South America

During the southern spring, a break of the polar vortex over the Antarctic continent frequently occurs. This results in the advection of ozone‐poor air mass (O3) to mid‐latitudes, characterizing the secondary effect of the Antarctic ozone hole (SEAOH). We present some distinct characteristics the eight greatest reductions of the total O3 column (TOC) over the central region of Rio Grande do Sul (RS, 29.5°S, 54°W), southern Brazil, between August and November from 2012 to 2016 and develop a full scalar diagnostic index of O3 negative anomalies for South America. For developing the index, mean values of the absolute potential vorticity, geopotential height, and wind components were obtained over moving grids with positive and negative O3 anomalies. It was then possible to develop statistical methods to obtain a diagnostic index of the SEAOH (Subantarctic O3 Index), as well as a diagnostic index of incursions of ozone‐poor air masses from the tropics (Subtropical O3 Index). The results show that TOC over the central region of RS, for the most intense O3 reduction episodes, is governed by a wide range of contributions from high and low isentropic levels. Significant interaction of air masses of polar and tropical origin via stratosphere–troposphere exchange was found. Finally, the Subantarctic O3 Index combined with the Subtropical O3 Index showed potential use for prediction centres and was skilful in detecting regions with the most negative O3 anomalies, mainly in the mid‐latitude region, but also in the subtropical region.