Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring the Spatio-Temporal Dynamics of Shale Oil/Gas Development with Landsat Time Series: Case Studies in the USA

Shale oil/gas extraction has expanded rapidly in the last two decades due to the rising energy prices and the advancement of technologies. Its development can have huge impacts on and, at the same time, is also deeply affected by energy markets, especially in an era with high economic uncertainty. Understanding and monitoring shale oil/gas development over large regions are critical for both energy policies and environmental protection. However, there are currently no applicable methods to track the spatio-temporal dynamics of shale oil/gas development. To fill this gap, we propose a new NDVI Trajectroy Matching algorithm to track shale oil/gas development using the annual Landsat NDVI composite time series from 2000 to 2020. The results reveal that our algorithm can accurately extract the location and time of shale oil/gas exploitation in Eagle Ford and Three Forks, with an accuracy of 83.80% and 81.40%, respectively. In the Eagle Ford area, accuracy for all disturbance year detection was greater than 66.67%, with the best in 2011 and 2019 at 90.00%. The lowest accuracy in the Three Forks area was 63.33% in 2002, while the highest accuracy was 93.33% in 2019. In conclusion, the algorithm can effectively track shale oil/gas development with considerable accuracy and simplicity. We believe that the algorithm has enormous potential for other applications, such as built-up regions, forests, farmlands, and water body expansion and contraction involving vegetation damage.
Diluted Seawater and Ammonia-N Tolerance of Two Mangrove Crab Species. New Insights to Understand the Vulnerability of Pristine Islands Ecosystems Organisms

Mangrove ecosystems are the primary receptors of anthropogenic pollution in tropical areas. Assessing the vulnerability of these ecosystems can be expressed, among other indicators, by studying the health of ‘ecosystem engineers’. In this study, mangrove forests facing opposing anthropogenic pressures were studied (i) in the uninhabited island of Europa (Mozambique Channel), considered as a pristine ecosystem, and, (ii) on the island of Mayotte, facing regular domestic wastewater discharges. Using an ecophysiological approach, the effects of diluted seawater (DSW) and increased ammonia-N were studied for two fiddler crab species: Gelasimus tetragonon (GT) on the island of Europa and Paraleptuca chlorophthalmus (PC) on the island of Mayotte. Osmoregulation curves and osmoregulatory capacity were determined along with O2 consumption rates after a 96 h exposure period. Histological analyses were also carried out on two important metabolic organs: the hepatopancreas and the posterior gills. Results indicate that both crab species are good hyper-hypo-osmoregulators but only PC can maintain its osmoregulatory capacity when exposed to ammonia-N. Oxygen consumption is increased in GT after 96 h of exposure to ammonia-N but this does not occur in PC. Finally, a thickening of the gill osmoregulatory epithelium was observed after 96 h in PC when exposed to ammonium but not in GT. Therefore, the two species do not have the same tolerance to DSW and increased ammonia-N. PC shows physiological acclimation capacities in order to better manage nitrogenous enrichments. GT did not show the same physiological plasticity when exposed to ammonia-N and could be more at risk by this kind of stress. These results along with those from other studies regarding the effects of domestic effluents on mangrove crabs are discussed. Therefore, the greater vulnerability of organisms occupying pristine ecosystems could induce major changes in mangrove functioning if crabs, that are engineer species of the ecosystem, are about to reduce their bioturbation activity or, even, disappear from the mangrove forests.
Comparative Analysis of Enzymatic Transglycosylation Using E. coli Nucleoside Phosphorylases: A Synthetic Concept for the Preparation of Purine Modified 2′-Deoxyribonucleosides from Ribonucleosides

A comparative analysis of the transglycosylation conditions catalyzed by E. coli nucleoside phosphorylases, leading to the formation of 2′-deoxynucleosides, was performed. We demonstrated that maximal yields of 2′-deoxynucleosides, especially modified, can be achieved under small excess of glycosyl-donor (7-methyl-2′-deoxyguanosine, thymidine) and a 4-fold lack of phosphate. A phosphate concentration less than equimolar one allows using only a slight excess of the carbohydrate residue donor nucleoside to increase the reaction’s output. A three-step methodology was elaborated for the preparative synthesis of purine-modified 2′-deoxyribonucleosides, starting from the corresponding ribonucleosides.
Possibilities of Applying Non-invasive Multichannel Electrical Stimulation Technology for Treatment Neuropsychiatric Disorders Associated with Post COVID-19 Condition

The possibilities of using multichannel neuroelectrostimulation of nerve formations in the neck for the treatment of neuropsychiatric disorders arising from the Post Covid-19 condition are considered. Three clinical cases of the use of such technology, implemented in the device "SYMPATHOCOR-01", are presented. All patients were previously diagnosed with coronavirus infection of varying severity. The patients' condition was assessed clinically and based on psychometric scales: depression - HDRS and BDI-II, anxiety - SPRAS, asthenia - MYI-20. The duration of the disease was 4-6 months. The course of treatment was three weeks. All patients showed marked positive clinical dynamics. The proposed methods of hardware treatment of Post COVID-19 condition can be implemented in telemedicine projects for the provision of services in real time, which minimizes the contact between doctor and patient, and undoubtedly may be in demand in the future post-pandemic society.
Ultrasound-guided Continuous Thoracic Paravertebral Block Improves Patients Quality of Recovery After Open Hepatectomy: A Randomized, Double-blind, Placebo-controlled Trial.

Background Ultrasound-guided continuous thoracic paravertebral block can provide pain-relieving and opioid-sparing effects in patients receiving open hepatectomy. We hypothesize that these effects may improve the quality of recovery (QoR) after open hepatectomy. Methods Seventy-six patients undergoing open hepatectomy were randomized to receive a continuous thoracic paravertebral block with ropivacaine (CTPVB group) or normal saline (control group). All patients received patient-controlled intravenous analgesia with morphine postoperatively for 48 hours. The primary outcome was the global Chinese 15-item Quality of Recovery score on postoperative day 7, which was statistically analyzed using Student's t-test. Results Thirty-six patients in the CTPVB group and 37 in the control group completed the study. Compared to the control group, the CTPVB group had significantly increased global Chinese 15-item Quality of Recovery scores (133.14±12.97 vs. 122.62±14.89,P=0.002) on postoperative day 7. Postoperative pain scores and cumulative morphine consumption were significantly lower for up to 8 and 48 hours (P<0.05;P=0.002), respectively, in the CTPVB group. Conclusion Perioperative CTPVB markably promotes patient's QoR after open hepatectomy with a profound analgesic effect in the early postoperative period.
The life and times of university teachers in the era of digitalization: A tragedy

ABSTRACT Although digitalization has become an everyday phenomenon in higher education (HE), there is still limited understanding on how HE teachers experience the digitalized work environment. In this article we utilize narrative research methodology to share HE teachers’ voices, addressing the following questions: What is the lived experience of being a teacher in digitalizing higher education? How has digitalization shaped the work environment in higher education? What meaning do HE teachers make of digitalization? The research participants are six university teachers with significant work experience. The findings are reported in the form of a classic tragedy narrative, which reveals that the rise of managerialism and neoliberalization in HE has changed teachers’ work and the role of digital tools play in it, and teachers are experiencing an increasing sense of alienation. In conclusion, we elaborate these experiences theoretically and paint a picture of today’s digitalized work environment in HE.
Understanding the Experiences of Living With an Artificial Eye in Children With Retinoblastoma—Perspectives of Children and Their Parents

Background: Retinoblastoma is a rare form of pediatric eye cancer for which enucleation is a common treatment modality. There is an increasing focus upon the impact of enucleation on children and families. This study aimed to explore the experiences of children and their families following enucleation to consider the barriers that may be encountered when adjusting to living with an artificial eye and identifying the support services and strategies used to address these barriers. Methods: Using a descriptive qualitative approach, interviews were conducted with 12 parents and seven children and thematic analysis was used to identify four themes representing the perspective of parents and children. Results: Parent themes identified were (a) entry into the world of retinoblastoma; (b) the importance of specialist support; (c) a family learning to cope; and (d) navigating school. The perspectives of children were (a) the importance of preparation and play; (b) positive reinforcement and hospital support; (c) support and openness at home; and (d) the importance of good school planning. Two overarching themes related to parent and child adaptation were also identified. Discussion: The study findings reveal that the process of adapting to living with an artificial eye extended to influencing decisions around parenting, learning to advocate for their child, and supporting children through school and peer relationships. For children, the importance of ongoing support and information was vital to enhance understanding, adaptation, and development of independence. Overall, the study suggests that children and families undergoing enucleation need continuing, individualized, and specialist support.
Design and Development of the MESSENGER Propulsion System

A Mercury orbiter mission has been out of reach for over 20 years due to the thermal, Delta V, and resulting spacecraft mass constraints. MESSENGER’s ceramic cloth sunshade solves the thermal issue, its newly developed mission trajectory reduces the Delta V requirements, and the subject of this paper, MESSENGER’s integral propulsion system/composite structure, yields a missionenabling reduction in spacecraft mass. Propulsion system mass was further reduced via the development and qualification of a new propellant tank resulting in a tank dry/wet mass ratio of just 0.03. The use of a refillable, auxiliary tank for propellant settling and small Delta V maneuvers enabled the main tanks to be devoid of positive expulsion devices. The large (2300 m/sec) mission Delta V requirements of this interplanetary mission dictated the use of a regulated dual-mode propulsion system. A unique sequencing of individual tank outlet latch valves maintains the spacecraft X and Y center of mass well within the requirements of the mission during expulsion of the nearly 600 kg propellant load. The use of flightproven components, a sequential proto-flight test philosophy, and a small Integrated Product Team approach have resulted in the recent successful development, manufacture, test, and integration of the propulsion system into the spacecraft.
Navigations for Hospitality Human Resource Management Research: Observing the Keywords, Factors, Topics under the COVID-19 Pandemic

The hospitality industry is one of the most affected by the pandemic, and because of its human close interaction and labor-intensive characteristics, it has left Human Resource Management (HRM) puzzles with organizations’ stabilization and recovery. This study aimed to summarize current research on hospitality HRM research outcomes and trends during the COVID-19 pandemic. Utilizing the PRISMA technique and NVivo software, 102 research articles were extracted and analyzed to highlight to overall achievement and movement of hospitality HRM research under the shadow of the COVID-19 crisis. Considering the main purpose of this study, which was to show the status and prospects, the findings indicated 309 free nodes and 26 secondary nodes based on grounded theory. 7 key themes clustered from the analysis and include “environmental factors”, “industrial factors”, “HRM practice”, “organization”, “employee”, “external outcomes”, and “methodology”. The results demonstrated the COVID-19 pandemic driven HRM transformation. In addition, it sheds light on how research responds to the shifting navigation of HRM within the hospitality context under the COVID-19 conditions.
Automatic metadata information extraction from scientific literature using deep neural networks

We present a novel computer vision-based deep learning approach for metadata extraction as both a central component of and an ancillary aid to structured information extraction from scientiﬁc literature which has various formats. The number of scientiﬁc publications is growing rapidly, but existing methods cannot combine the techniques of layout extraction and text recognition eﬃciently because of the various formats used by scientiﬁc literature publishers. In this paper, we introduce an end-to-end trainable neural network for segmenting and labeling the main regions of scientiﬁc documents, while simultaneously recognizing text from the detected regions. The proposed framework combines object detection techniques based on Recurrent Convolutional Neural Network (RCNN) for scientiﬁc document layout detection with Convolutional Recurrent Neural Network (CRNN) for text recognition. We also contribute a novel data set of main region annotations for scientiﬁc literature metadata information extraction to complement the limited availability of high-quality data set. The ﬁnal outputs of the network are the text content (payload) and the corresponding labels of the major regions. Our results show that our model outperforms state-of-the-ﬁeld baselines.
Data Mining for the Security of Cyber Physical Systems Using Deep-Learning Methods

Cyber Physical Systems (CPSs) have become widely popular in recent years, and their applicability have been growing exponentially. A CPS is an advanced system that incorporates a computation unit along with a hardware unit, allowing for computing processes to interact with the physical world. However, this increased usage has also led to the security concerns in them, as they allow potential attack vendors to exploit the possibilities of committing misconduct for their own benefit. It is of paramount importance that these systems have comprehensive security mechanisms to mitigate these security threats. A typical attack vector for a CPS is malicious data supplied by compromised sensors that are part of the CPSs. To combat this attack vector, many systems are secured through fault tolerance, including methods such as checkpointing to recover the system. Looking at the diverse nature of attacks and their ever growing complexities, traditional security approaches may not counter them efficiently, which creates a vacuum to be filled with sophisticated state-of-the-art techniques. In this paper, Deep Learning methods such as autoencoders, and Support Vector Machines are proposed to secure CPSs against these attacks. The networks in these applied methods are trained with a normal data profile devoid of any malicious data. Data collected from the system’s sensors at specified intervals is used to form a data series and input to the neural networks. The networks compare and analyze new data to the normal profile to detect anomalies, if there is any. In the presence of anomalous data, the networks generate corrective action(s) for these sensors and the physical states they are recording. Through detection of anomalies, effective security of CPSs may be improved in addition to providing protection for the sensors. Moreover, the proposed method of securing CPSs opens up the possibility of further research by showcasing the applicability of neural networks in securing CPSs.
Towards a diachronic analysis of Romance morphology through Google n-grams

S The article discusses the first outcomes of the analysis of the newest version of Italian and French Google n-grams (GN, 2020), within a project aiming at building a set of electronic dictionaries of word forms available in open-access that would facilitate the use of GNs for diachronic research in lexical morphology on the basis of raw data. The analysis of tens of millions of n-grams reveals that Italian and French GNs contain 2.7 and 3.7 million of unique word forms, respectively, with information on their frequency in books with the corresponding year of publication over a period of about 500 years. The article also outlines the procedure of extraction of data regarding complex words written separately. L’article présente les premiers résultats de l’analyse de la plus récente version des n-grammes de Google italiens et français (GN, 2020), dans le cadre d’un projet qui vise à construire, à partir des données brutes, un ensemble de dictionnaires électroniques disponibles en libre accès qui faciliteraient l’utilisation des GN pour la recherche diachronique en morphologie lexicale. L’analyse de dizaines de millions de n-grammes révèle que les GN italiens et français contiennent respectivement 2,7 et 3,7 millions de formes de mots uniques avec l’information sur leur fréquence dans les livres publiés, en fonction de l’année de publication du livre correspondant sur une période d’environ 500 ans. L’article décrit également la procédure d’extraction des données concernant les mots complexes dont les composants sont écrits séparément. INDEX Mots-clés: Google n-grams, morphologie lexicale, diachronie
Radiotherapy Combined With Concurrent Nedaplatin-Based Chemotherapy for Stage II–III Esophageal Squamous Cell Carcinoma

Objective This study was conducted to explore the appropriate radical radiation dose in concurrent chemoradiotherapy (CCRT) for patients with inoperable stage II–III esophageal squamous cell carcinoma (ESCC). Methods This retrospective study included patients with esophageal cancer (EC) from the database of patients treated at the Affiliated Zhangjiagang Hospital of Soochow University (1/2015–12/2019). Overall survival (OS), progression-free survival (PFS), objective remission rate (ORR), first failure pattern, and toxicities were collected. Results 112 patients treated with intensity-modulated radiation therapy (IMRT) combined with concurrent chemotherapy of nedaplatin-based regimens were included. Fifty-eight (51.8%) and 54 (48.2%) patients received 60 (HD) and 50.4 (LD) Gy of radiotherapy, respectively. The HD group showed superior OS and a trend for longer PFS compared with the LD group (median OS: 25.5 vs 17.5 months, P = .021; median PFS: 14.0 vs 10.5 months, P = .076). There were more patients with a complete remission (CR) in the HD group than in the LD group (P=.016). The treatment-related toxicities were generally acceptable, but HD radiotherapy would increase the incidence of grade ≥3 late radiotoxicity (22.4% vs 5.6%, P = .011). Conclusion In nedaplatin-based CCRT for stage II–III ESCC, the radiotherapy dose of 60 Gy achieved a better prognosis. Strengths and limitations of this study A comparative study of 50.4 Gy and 60 Gy was conducted to evaluate whether 50.4 Gy can be used as a radical radiotherapy dose for inoperable stage II–III esophageal squamous cell carcinoma from a real-world perspective. The highly consistent selection criteria in our study make analysis results highly reliable and scientific. The existing research results support that nedaplatin can be used in concurrent chemoradiotherapy for esophageal squamous cell carcinoma, and this study focuses on the discovery of a better nedaplatin-based combination regimen. The findings of this study are limited to a single-center study with a non-large sample size. Inevitably, recall bias may exist in this retrospective study. Surgery was not involved in the follow-up treatment after concurrent chemoradiotherapy, which may worsen the prognosis of some patients.
Low-cost strategy for processing hierarchical surface textures on PET foils with modified wetting behavior and increased outcoupling efficiency for OLEDs

Nature provides many examples of surface structures with multiple functionalities. Some of those, such as light management and self-cleaning, are of interest for increasing the efficiency of optoelectronic devices, such as OLEDs, and for adding new surface functions. However, mimicking and transferring these textures to polymers over large areas often requires complex processes at high costs. Here, we demonstrate a low-cost strategy to fabricate hierarchically textured polyethylene terephthalate (PET) films by plate-to-plate hot embossing. Laser-machined stainless-steel plates with doublescaled hole-like textures were used as master for hot embossing. The larger structure with a period between 30 µm and 70 µm and depths up to 8 µm was produced by direct laser writing (DLW), whereas the smaller structure featuring a period of 3 µm at a depth up to 2 µm was fabricated by direct laser interference patterning (DLIP). The textured surfaces of stainless steel were then molded onto PET films at a pressure of 42 MPa and a temperature of 85°C using a hydraulic press. Topographical characterization was performed by confocal microscopy and scanning electron microscopy. Experiments have shown an increased static water contact angle up to 105°. Furthermore, the hierarchically microtextured foils were studied as out-coupling layers in OLEDs, showing a potential increase in device efficiency of up to 57%. The results thus indicate a good suitability of the developed surfaces for use in highly efficient OLEDs with easy-to-clean properties.
EDFLOW: Event Driven Optical Flow Camera With Keypoint Detection and Adaptive Block Matching

Event cameras such as the Dynamic Vision Sensor (DVS) are useful because of their low latency, sparse output, and high dynamic range. In this paper, we propose a DVS+FPGA camera platform and use it to demonstrate the hardware implementation of event-based corner keypoint detection and adaptive block-matching optical flow. To adapt sample rate dynamically, events are accumulated in event slices using the area event count slice exposure method. The area event count is feedback controlled by the average optical flow matching distance. Corners are detected by streaks of accumulated events on event slice rings of radius 3 and 4 pixels. Corner detection takes about 6 clock cycles (16 MHz event rate at the 100MHz clock frequency) At the corners, flow vectors are computed in 100 clock cycles (1 MHz event rate). The multiscale block match size is $25\times 25$ pixels and the flow vectors span up to 30-pixel match distance. The FPGA processes the sum-of-absolute distance block matching at 123 GOp/s, the equivalent of 1230 Op/clock cycle. EDFLOW is several times more accurate on MVSEC drone and driving optical flow benchmarking sequences than the previous best DVS FPGA optical flow implementation, and achieves similar accuracy to the CNN-based EV-Flownet, although it burns about 100 times less power. The EDFLOW design and benchmarking videos are available at https://sites.google. com/view/edflow21/home.