Miracle-dz/UniFAR-FTUs huggingface dataset:
RVEX: Right Ventricular External Device for Biomimetic Support and Monitoring of the Right Heart

Right ventricular (RV) failure remains a significant burden for patients with advanced heart failure, especially after major cardiac surgeries such as implantation of left ventricular assist devices. Device solutions that can assist the complex biological function of heart muscle without the disadvantages of bulky designs and infection‐prone drivelines remain an area of pressing clinical need, especially for the right ventricle. In addition, devices that incur contact between blood and artificial surfaces mandate long‐term use of blood‐thinning medications, carrying increased risks for the patients. This work describes the design of a biomimetic, elastic sleeve to support RV‐specific motion via tuned regional mechanical properties. The RV external device (RVEX) in computational models as well as benchtop models and ex vivo (i.e., explanted heart) setups are evaluated to characterize the device and predict functional benefit. Additionally, long‐term implantation potential is demonstrated in mice. Finally, the ability to sensorize the RVEX device to yield resistive self‐sensing capabilities to continuously monitor ventricular deformation, as demonstrated in benchtop experiments and in live animal surgeries, is proposed.
Multi-objective Offloading Decision Based on Combination Weighting Method for Multi-access Edge Computing

: Generally, in the edge computing scenario, edge devices can offload tasks to the edge servers to reduce device energy consumption and task execution delay. It is necessary to find an offloading strategy which can balance and minimize the task execution delay and device energy consumption. This is usually classified as a multi-objective problem. It is a common method to get the Pareto optimal solution set by using multi-objective optimization algorithm. However, there is a problem about how to find out the eclectic optimal solution that can embody the user's subjective consciousness and meet the objective information of Pareto optimal solution set. This paper solved this problem by combining subjective and objective combination weighting method. First, the subjective weight matrix which reflects the user's subjective consciousness is obtained by analytic hierarchy process. Then, the objective weight matrix which can embody the objective information of the index is obtained through the entropy method. Finally, the combination weight matrix is obtained by subjective and objective weighting method. After comprehensively evaluating the Pareto optimal solution set, the solution with the minimum comprehensive evaluation value is regarded as the Pareto compromise optimal solution. In this paper, the combination weighting method is applied to multi-access edge computing scenario and verify its feasibility in this scenario.
Economics of Marine Protected Areas: Assessing the Literature for Marine Protected Area Network Expansions

Marine protected areas (MPAs) provide both conservation and economic benefits. Recent international conservation actors have called for a dramatic increase in the area of MPAs from almost 8% to 30% of marine area by 2030 in a policy called 30X30. Both the economics and conservation science literatures consider MPA decisions and MPA impact, although the economics literature focuses on fishery economic outcomes. This review uses an optimization framework for MPA decisions as a lens through which to evaluate the economics literature on MPAs in the context of the 30X30 expansion decisions. We argue for more economic analysis of MPA policy questions, including those around siting, design, restrictions, and management choices; impact evaluation; responses of people; low-income country settings and incomplete enforcement; spatial settings without metapopulations; and conservation rather than harvest objectives. Expected final online publication date for the Annual Review of Resource Economics, Volume 14 is October 2022. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks

Since the advent of radio communications, radio spectrum has been increasingly getting crowded with different kinds of applications. Different radio communications systems have been developed for various purposes and multiple actors became interested in using these systems at the same time and space. Such situation inevitably led to the point when practically entire usable radio spectrum became occupied by different actors. To alleviate this problem, Dynamic Spectrum (Re)Allocation (DSA) has been proposed, which is a branch of frequency spectrum management that aims to improve spectrum usage efficiency and end-user experience by introducing more flexibility to spectrum usage. This thesis aims to provide additional insight into DSA applicability and effectiveness in a typical realistic cellular network, in intra-operator scenario, taking into account 2G and 4G radio technologies, with the aim of improving 4G performance without adverse impact to 2G. We use realistic dynamic system level simulations to assess DSA performance in the selected cellular network areas that can be classified as urban, suburban and rural. Our simulation results show that DSA is capable of improving 4G throughput without adverse impact to 2G performance in all simulated areas. Among the simulated areas, urban area benefits from DSA most, as significant throughput gains for 4G are achieved without adverse impact to 2G performance, while simulations show that spectrum refarming is clearly not an option for this type of area. However, throughput gains for 4G in urban area are limited during the busy-hours. Suburban and rural areas indicate benefits from DSA too, however the difference between DSA and spectrum refarming in these areas is diminishing. Hence, with reasonable half-rate timeslot tolerance for 2G voice calls, spectrum refarming could be an option in the simulated suburban and rural areas.
Physiologic Insulin Resensitization as a Treatment Modality for Insulin Resistance Pathophysiology

Prevalence of type 2 diabetes increased from 2.5% of the US population in 1990 to 10.5% in 2018. This creates a major public health problem, due to increases in long-term complications of diabetes, including neuropathy, retinopathy, nephropathy, skin ulcers, amputations, and atherosclerotic cardiovascular disease. In this review, we evaluated the scientific basis that supports the use of physiologic insulin resensitization. Insulin resistance is the primary cause of type 2 diabetes. Insulin resistance leads to increasing insulin secretion, leading to beta-cell exhaustion or burnout. This triggers a cascade leading to islet cell destruction and the long-term complications of type 2 diabetes. Concurrent with insulin resistance, the regular bursts of insulin from the pancreas become irregular. This has been treated by the precise administration of insulin more physiologically. There is consistent evidence that this treatment modality can reverse the diabetes-associated complications of neuropathy, diabetic ulcers, nephropathy, and retinopathy, and that it lowers HbA1c. In conclusion, physiologic insulin resensitization has a persuasive scientific basis, significant treatment potential, and likely cost benefits.
Alone together: the social life of benches

Alone Together, the Social Life of Benches illuminates the thoughts and memories of frequent users of two public spaces in London: General Gordon Square, Woolwich and St Helier Open Space, Sutton. Revolving around the micro-space of the humble bench, the experiential capacity of film is used to highlight themes such as the feeling of being in a space, the rhythm and flow of visitors to a place, and the importance of design for everyday street furniture. The film acts like a stranger who joins you on a bench to ‘watch the world go by’, and to break the ice by starting a conversation with their fellow bench user. Part of collaborative research The Bench Project that explores how individuals and groups use public space. Director/Producer: Esther Johnson Year: 2015 Duration: 00:18:00 Country of Production: UK Production Format: 2K Picture: Colour Sound: Stereo Supported by the Arts & Humanities Research Council Connected Communities programme
Tumor-derived exosomes: immune properties and clinical application in lung cancer

Lung cancer is the leading cause of cancer-related death worldwide. Despite advances in diagnosis and treatment of lung cancer, the overall survival remains poor. Evidence indicates that lung cancer development is a complex and dynamic process that involves interactions between tumor cells and their microenvironments, including immune cells. Exosomes are small extracellular vesicles secreted by most cell types; they contain functional molecules that allow intercellular communication. Tumor-derived exosomes (TEXs) carry both immunosuppressive and immunostimulatory mediators and may be involved in various immunomodulatory effects. TEXs, which partially mimic profiles of the parent cells, are a potential source of cancer biomarkers for prognosis, diagnosis, and prediction of response to therapy. In addition, TEXs may interfere with immunotherapies, but they also could be used as adjuvants and antigenic components in vaccines against lung cancer. In the context of lung cancer, identifying TEXs and understanding their contribution to tumorigenesis and the response to immunotherapies represents a challenging research area.
2022 Tonga Volcanic Eruption Induced Global Propagation of Ionospheric Disturbances via Lamb Waves

The Tonga volcano eruption at 04:14:45 UT on 2022-01-15 released enormous amounts of energy into the atmosphere, triggering very significant geophysical variations not only in the immediate proximity of the epicenter but also globally across the whole atmosphere. This study provides a global picture of ionospheric disturbances over an extended period for at least 4 days. We find traveling ionospheric disturbances (TIDs) radially outbound and inbound along entire Great-Circle loci at primary speeds of ∼300–350 m/s (depending on the propagation direction) and 500–1,000 km horizontal wavelength for front shocks, going around the globe for three times, passing six times over the continental US in 100 h since the eruption. TIDs following the shock fronts developed for ∼8 h with 10–30 min predominant periods in near- and far- fields. TID global propagation is consistent with the effect of Lamb waves which travel at the speed of sound. Although these oscillations are often confined to the troposphere, Lamb wave energy is known to leak into the thermosphere through channels such as atmospheric resonance at acoustic and gravity wave frequencies, carrying substantial wave amplitudes at high altitudes. Prevailing Lamb waves have been reported in the literature as atmospheric responses to the gigantic Krakatoa eruption in 1883 and other geohazards. This study provides substantial first evidence of their long-duration imprints up in the global ionosphere. This study was enabled by ionospheric measurements from 5,000+ world-wide Global Navigation Satellite System (GNSS) ground receivers, demonstrating the broad implication of the ionosphere measurement as a sensitive detector for atmospheric waves and geophysical disturbances.
Liquid Chromatography Mass Spectrometer (Lc/Ms) profile revealed flavonoids and terpenoids with antioxidant potential in aqueous fraction of Combretum micranthum leaf extract

Combretum micranthum (CM) is commonly used for its ethno-medicinal potentials without much or no scientific basis. Thus, the aim of this research is to evaluate aqueous fraction of C. micranthum leaf extract for possible antioxidant compounds using liquid chromatography mass spectrometer technique. In vitro antioxidant was carried out using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and Ferric Reducing Power (FRAP) assay methods and the results indicated the free radical scavenging activity of 80.351±0.732 and 0.800± 0.00 at 2.50mg/m1 concentrations which is significantly different when compared to reference standard of 84.718±0.605 and 0.426±0.000 (ascorbic acid) respectively, with concentration or dose-dependent. LC-MS profile revealed the presence of medicinally important compounds like Myricetin (Flavone), Epioxylubimin (Sesquiterpenoids), Furocoumaric acid (Phenolic glycoside) among others. The findings of this study revealed that C. micranthum is rich in potential metabolites and was reflected as its antioxidant potential and could be used for drug and other oxidative stress related management.
Modelling and Simulation of the 150° Conduction Mode Quasi Space Vector PWM Inverter Fed Permanent Magnet Brushless DC Motor

This paper presents an alternative space vector pwm scheme of 150o conduction mode for the three phase voltage source inverter (3PVSI) with the switching periods, of six switches, determined by the Quasi Space Vector (QSV) relevant to the rotor of the three phase Permanent Magnet Brushless DC(3PPMBLDC) Motor. Performance can be delineated through the dynamic model of 3PPMBLDC motor with the simulations of torque and speed characteristics when applied by 3PVSI with this modulation scheme.
Risk-Based Ship Collision-Avoidance Maneuvers Accounting for Optimal Bunker Consumption

This paper optimizes ship collision-avoidance maneuvers accounting for both accident risk and fuel use. The model determines the optimal timing of turning, the turning angle, the timing of the ease rudder, and the angle of the rudder for course reorientation, while still minimizing fuel use. First, critical factors of ship collision avoidance are identified. Then, an optimization model is developed to minimize fuel consumption while assuring ship operational safety. To address complex ship navigation procedures, an enumeration algorithm is used to determine when to take actions to avoid a collision, how to change course, and what rudder angles are needed. A quantitative navigation simulation is developed to illustrate the model application. The methodology can be further developed to guide practical ship collision-avoidance maneuver decision making. In the era of intelligent navigation, this research can contribute to the development of computer-aided collision-avoidance operations to improve the safety and energy efficiency of maritime transportation.
Comparative Evaluation of Salivary Interleukin-18 in Periodontitis Patients with or without Diabetes Mellitus

Aim: The study was conducted to compare the salivary concentrations of interleukin-18 in periodontitis patients with or without diabetes mellitus Materials and Methods: The sample size in the study was 30 and categorized into 3 groups, in each group 10 individuals were included in the respective category. The three groups are as follows: Group a- patients with clinically healthy gingiva, Group b- patients with periodontitis and diabetes mellitus, Group c- patients with periodontitis only. Results: Salivary Interleukin-18 levels were found to be significantly higher (p<0.013) in periodontitis with diabetes mellitus (110±7.0 ng/L) when compared with periodontitis only (70.06±3.5 ng/L) and also when compared with healthy controls (66±5.6 ng/L). Conclusion: From the study, diabetic patients with periodontitis have increased IL-18 levels than non-diabetic counterparts. Thus salivary IL-18 is an effective non-invasive biomarker associating periodontitis and diabetes mellitus.
American regional science school contribution to South Korean regional development management system

The authors of this article, using the approach of transdisciplinary regionology, consider how the formation of regional studies in the Republic of Korea took place. According to the authors, this process was significantly influenced by the United States, a country that is the ancestor of regional science. The article lists several factors that influenced the fact that the regional studies in Korea began to be carried out exactly according to the American model. There are examples of original American concepts that are actively used by Korean scientists at present. In addition, the authors attempt to highlight the distinctive features of the South Korean approach to regional studies.
The Effects of Dynamic Complexity on Drivers’ Secondary Task Scanning Behavior under a Car-Following Scenario

The user interface of vehicle interaction systems has become increasingly complex in recent years, which makes these devices important factors that contribute to accidents. Therefore, it is necessary to study the impact of dynamic complexity on the carrying capacity of secondary tasks under different traffic scenarios. First, we selected vehicle speed and vehicle spacing as influencing factors in carrying out secondary tasks. Then, the average single scanning time, total scanning time, and scanning times were selected as evaluation criteria, based on the theories of cognitive psychology. Lastly, we used a driving simulator to conduct an experiment under a car-following scenario and collect data on scanning behavior by an eye tracker, to evaluate the performance of the secondary task. The results show that the relationship between the total scanning time, scanning times, and the vehicle speed can be expressed by an exponential model, the relationship between the above two indicators and the vehicle spacing can be expressed by a logarithmic model, and the relationship with the total number of icons can be expressed by a linear model. Combined with the above relationships and the evaluation criteria for driving secondary tasks, the maximum number of icons at different vehicle speeds and vehicle spacings can be calculated to reduce the likelihood of accidents caused by attention overload.
Measuring Principals' Effectiveness: Results from New Jersey's Principal Evaluation Pilot. REL 2015-089.

New Jerseyâ€™s principal evaluation pilot, which took place in 14 diverse school districts in 2012/13, provides information on the extent to which measures to evaluate principals fairly and accurately differentiate principal performance. Principal practice ratings and schoolwide student achievement growth vary across principals and thus have the potential to distinguish effective and ineffective principals. However, schoolwide student achievement growth changed little at schools that changed principals and was lower at schools with more disadvantaged students. Information about the properties of the evaluation measures can inform modifications of the principal evaluation system or revisions to the guidance that the state provides districts.
Radar cross-section measurement in millimetre-wave for passive millimetre-wave identification tags

The passive millimetre-wave identification (MMID) technology was introduced few years ago, exploiting the advantages of the passive ultra-high frequency (UHF) radio frequency identification (RFID). The communication is based on backscattering modulation, related to the radar cross-section (RCS) of the transponder. Thus, the need of accurate RCS measurement in the V-band arises. This work presents two methods to measure the RCS of any antenna in the particular case of MMID from 57 to 66 GHz. The studied methods require some precautions in millimetre-wave compared with measurements done in the UHF band. The two approaches highlight the methodology for accurate RCS measurement while the methods are evaluated through an example. A horn antenna is used as a MMID tag antenna and the RCS of the antenna is studied across three different loads as in UHF RFID: the short circuit, the open circuit and the matched load. The proposed methods provide a good accuracy and are validated by comparing the measurement results to the simulation.
Les tumeurs stromales gastro-intestinales : expérience de vie réelle d’un centre marocain

Introduction: Gastrointestinal stromal tumors (GIST) are rare mesenchymal tumors that have recently undergone much progress both diagnostically and therapeutically. Material and methods: Our experience concerns 23 cases of GIST collected at the Moulay Ismail military hospital in Meknes over a period of 6 years (from January 2011 to December 2016). Results: The average age of our patients was 54.2 years (28 to 73 years) with a higher male predominance (16 men / 7 women). Epigastralgia were the main mode of disclosure of the disease (73.9%). Gastric localization was the most common (69.6%). Digestive endoscopy most often showed a submucosal mass (21.7%). The fusiform cell type was predominant (73.9 %). The tumor was localized in 47.8% of cases, locally advanced in 8.7 % of cases and metastatic in 43.5% of cases. Therapeutic management consisted of complete surgical resection in 65.2% of cases. Medical treatment with imatinib was recommended in 20 cases including 12 cases in adjuvant situation and the others in metastatic situation. With a mean follow-up of 3 years, complete remission was obtained in 52.2% of cases. DOI : 10.4267/2042/67609 A rt ic le or ig in al
Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost

The spread of enterprise credit risk in the supply chain may lead to large‐scale bankruptcy and credit crises, which are related to national economic and social stability and financial system security. Therefore, enterprise credit risk in the supply chain context is not only a concern for banking financial institutions, credit rating agencies and enterprise managers but also the focus of governments. This article develops a DTE‐DSA (decision tree [DT] ensemble model using the differential sampling rate, Synthetic Minority Oversampling Technique [SMOTE] and AdaBoost) prediction framework integrating supply chain information to predict enterprise credit risk. The empirical test shows that using supply chain information can significantly improve the prediction score. The DTE‐DSA model has the best prediction effect in dealing with class imbalance problems. Compared with single classifier models—such as logistic regression, k‐nearest neighbours, support vector machine, DT and DT using the SMOTE—as well as ensemble models—such as extremely randomized trees, random forest, rotation forest, extreme gradient boosting, gradient boosting DT and DT ensemble model using AdaBoost—the DTE‐DSA model not only has the best prediction score but also has a more stable performance. The comprehensive use of supply chain information and the DTE‐DSA model can result in the highest prediction score, with an area under the curve of 0.9016 and a Kolmogorov–Smirnov statistic of 0.7369. Further analysis of the variables of importance enhances the interpretability of the model and obtains relevant management insights.
Impact of online learning during the COVID-19 Pandemic on learning activities

This research describes whether the social presence can be obtained from online learning of distance education setting. Data in this study employed questionnaire adapted from Rovai (2002) which identified 3 aspects of social presence, namely connectedness aspect, learning aspect, and socio-emotional aspect. Data was taken from 70 students who participated in an 8-weeks online learning. The results showed that all aspects have positive attitudes from students’ point of views. The students experienced connectedness aspect, learning aspect, and socio-emotional aspect in online learning regardless the learning situation which was mostly text-based setting.