Miracle-dz/UniFAR-FTUs huggingface dataset:
Thoracoscopic pleurodesis using talc poudrage versus cytotoxic drug in malignant pleural effusion: narrative review

Malignant pleural effusion (MPE) indicates incurable cancer with a variable prognosis, from 4 to 12 months. Definitive control of effusion with pleurodesis should be undertaken in all patients with an expandable lung who are likely to require frequent drainages and with an expected survival greater than 3 months. Presently, talc is the most commonly used pleurodesis agent. It is inexpensive and readily available worldwide. Its superiority over alternative compounds has been suggested by more than one meta-analysis; thus, it is the agent of choice in the international guidelines. Talc is highly effective, with success rates from 80% to 95%, relative to the dose, number of administrations and patient’s metabolic and nutritional conditions, with acceptable side effects and risks in a patient with a modest life expectancy. Other substances used are tetracyclines (doxycycline, minocycline), bleomycin, nitrogen mustards, quinacrine, Corynebacterium parvum, interferon (IFN), methylprednisolone, doxorubicin, cisplatin, cytarabine, etoposide, fluorouracil, mitomycin C, goldand phosphorus-radioactive isotopes, alcohol, povidone-iodine and silver nitrate. Talc remains the most effective sclerosant available for pleurodesis. There are no comparative studies showing the superiority of other substances to talc. Talc poudrage is highly effective, at least equivalent to talc slurry, with possible increased efficacy in certain disease subgroups. The lack of comparative randomized trials, different eligibility criteria and heterogeneity of the study populations do not help scientists determine the standards concerning the type of substance to be used, indications, and methods.
Experimental and Numerical Study on the Bead-Carry-Out in Two Component Development Process in Electrophotography

Experimental and numerical investigations have been carried out on the bead-carry-out phenomenon of electromagnetic bead chains in two component development process of electrophotography. Electrostatic pull-off characteristics of chains were measured in a magnetic field and then it was clarified how the critical electrostatic pull-off field to break chains and the amount of pulled-off carriers depended on the bead diameter and the magnetic field. Magnetic bonding force and electrostatic pull-off force were estimated numerically to evaluate these experimental results. It was deduced that the bead-carry-out phenomenon could be predicted qualitatively from the comparison of calculated magnetic and electrostatic force.
Eco-friendly and Modern Method of Poultry Waste Recycling

Throughout the world, along with the benefits that poultry farming brings to the economy of each individual country, there is a large-scale problem of such byproduct of its activity as feathers. In addition, 91% of them consist of a very valuable protein source with β-keratin. Keratin itself is very poorly decomposed and further disposed component. It makes up one of the components of feathers, the part of vertebrate skin. There is a growing preference for cost-effective and ecologically friendly poultry waste management ways. And it is the keratinase enzyme, obtained as a result of the bacteria activities, that shows great potential in this area. The selection, identification and improvement of the activities of such species of bacteria which could decompose the chicken feathers is the subject of ongoing research. About 89% provided chicken feathers were disposed (in other words, utilized) by bacteria in 2 days at temperature of 37° C. Full disposal took place after 53 hours. This study provides new results on the activities of microorganisms in the sphere of feather composting, and could also serve as an instruction for improving the work of the poultry industry in the management of keratin waste.
Abkhazia: Recasting ‘Ethnic’ War

Abstract This article seeks to nuance previous conceptions of the 1992 Abkhazian conflict by developing an alternative framework for understanding what is commonly known as ‘ethnic’ war. The resulting ‘non-framework’ conceptualises ethnicity and its mobilisation through a combination of constructivist and instrumentalist readings of ethnicity and nationalism with a radically contingent understanding of events. Creating a novel explanatory vector, this approach questions the nature of generalisable frameworks in themselves, suggesting the case of Tatarstan as a comparative example. To this extent, the model developed here suggests the analytical weakness of ‘ethnic’ war as an overarching category and urges us to treat each case within its own causal matrix.
Design Principles for the Enhanced Transparency Range of Correlated Transparent Conductors

Correlated transparent conductors (TCs) have attracted great attention because they can overcome the limitations of conventional TCs owing to their high visible transmittance and low sheet resistance. However, the most widely studied TC 3d1 SrVO3 exhibits low ultraviolet transmittance, and the recently investigated TC 4d2 SrMoO3 has low infrared transmittance. Here, it is proposed that the wide transparency range of correlated TCs arises from both high correlation strength and high transition energy from the O‐2p to the transition metal d orbitals. Applying this comprehensive design principle to single‐crystalline correlated metals, it is confirmed that correlated 4d1 SrNbO3 exhibits enhanced ultraviolet–visible–infrared transmittance, with low sheet resistance at room temperature, compared to 3d1 SrVO3 and 4d2 SrMoO3. Spectroscopic ellipsometry, X‐ray photoelectron spectroscopy, and density functional theory calculations reveal that the advantageous properties of 4d1 SrNbO3 can be attributed to high p–d transition energy and moderate correlation effect. The design principle can aid the discovery of additional high‐performance TC materials and further development of correlated TCs.
PROTOCOL: The use of information and communications technologies (ICT) for contributing to the prevention of, and response to, sexual and gender‐based violence against women and children in lower‐ and middle‐income countries: an evidence and gap map

Abstract This is the protocol for the development of a Campbell Collaboration evidence and gaps map (EGM). The primary objective of this evidence and gap map (EGM) is to answer the following question: (1) What is the evidence connected with the use of information and communications technologies (ICT) for preventing and responding to sexual and gender‐based violence (SGBV) against women and children in lower‐ and middle‐income countries (LMIC)? (a) the EGM will provide a structured and accessible contextual framework for research to stakeholders and policymakers in SGBV and ICT; (b) the EGM will identify gaps in the available ICT and SGBV evidence; (c) the EGM will identify clusters of evidence suitable for systematic review; and (d) the EGM will look for and build connections between related areas of research in ICT and SGBV. As part of identifying the evidence connected with the use of ICT for preventing and responding to SGBV we seek to answer the following questions based upon the available evidence: (a) Does the use of ICT prevent SGBV against women and children in LMIC? (b) How effective is ICT at improving access to quality services for SGBV survivors in LMIC? (c) Does the use of ICT contribute to effectively achieving intermediate outcomes that lead to the prevention of SGBV against women and children, and/or improving access for SGBV survivors to response services in LMIC? (d) What are the enabling factors associated with the implementation of ICT and SGBV interventions?
Psychotropic Medication Prescribing in a Juvenile Justice Facility: Evidence of a Limited Discontinuation Process

ABSTRACT This study examined medical files for former residents of a juvenile residential facility. A review of medical files for 135 adolescents adjudicated for sexual offenses revealed 57 (42.2%) received one or more psychotropic medications during their stay. The most frequently prescribed psychotropic medications for residents were stimulants (53.6%), antidepressants (50.9%), and antipsychotics (19.3%). Some residents simultaneously received two (n = 15; 26.3%), three (n= 6; 10.5%), four (n= 6; 10.53%), five (n = 4; 7.02%), and six (n = 1; 1.75%) psychotropic medications. Nevertheless, 22 (38.6%) of the 57 residents who received psychotropic medication experienced discontinuation of all psychotropic medication prior to discharge. Individuals who received antipsychotic medication were (a) most likely to receive multiple psychotropic medications and (b) least likely to experience discontinuation of any medication. Similarly, residents who entered the facility with psychotropic medication were less likely to experience discontinuation than those who received psychotropic medication after intake.
Dynamic community discovery via common subspace projection

Detecting communities of highly internal and low external interactions in dynamically evolving networks has become increasingly important owing to its wide applications in divers fields. Conventional solutions based on static community detection approaches treat each snapshot of dynamic networks independently, which may fragment communities in time (Aynaud T and Guillaume J L 2010 8th Int. Symp. on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (IEEE) pp 513–9), resulting in the problem of instability. In this work, we develop a novel dynamic community detection algorithm by leveraging the encoding–decoding scheme present in a succinct network representation method to reconstruct each snapshot via a common low-dimensional subspace, which can remove non-significant links and highlight the community structures, resulting in the mitigation of community instability to a large degree. We conduct experiments on simulated data and real social networking data with ground truths (GT) and compare the proposed method with several baselines. Our method is shown to be more stable without missing communities and more effective than the baselines with competitive performance. The distribution of community size in our method is more in line with the real distribution than those of the baselines at the same time.
Effect of postpartum experience and infant temperament on maternal beliefs about infant crying

Infant crying is an important signal for their survival and socio-cognitive development. It is unclear how maternal beliefs about infant crying change with their caregiving experience. Additionally, this study examined a bidirectional relationship between maternal beliefs and infants’ temperament using longitudinal study design. Maternal beliefs about crying and infant temperament of first-time mothers were measured at 1-month intervals over a 4-month period (N = 339 at Wave 1 and N = 164 at Wave 4). We found that parent-oriented beliefs about crying increased with the mother’s experience, and that infants high on surgency predicted changes in maternal beliefs. The current results suggest that the maternal beliefs change with an infant’s development and parenting experience in the early postpartum period.
A Novel Voice Controlled Robotic Vehicle For Smart City Applications

There are a lot of researchers working towards enhancing the connection between humans and robot. In this article, we have developed a robotic vehicle which can be controlled by voice commands. The control system of the robot movement will respond to the voice of the commanding person. A Texas board, MSP432P401R is connected to TI-RSL (Texas Instruments-Robotic System Learning) kit and used together with Wi-Fi module, CC3100 booster pack interfaced to an android application IFTTT (If This Then That) and Blynk to transmit the voice commands. The proposed system is designed based on microcontroller (MSP432P401R) which is connected to smart android phone through Wi-Fi module for receiving voice commands. The voice commands are converted to text by an android app and sends necessary data to the controller for robot movement. The voice commands are processed in real-time, using an online cloud server called Blynk. After receiving each command from the controller, the TI-RSL kit responds and moves in the desired direction. Moreover, we have also used camera module to watch the live streaming and direct the robotic vehicle without facing any obstacle. The camera is interfaced with Raspberry Pi for live streaming. The purpose of our article is to use this robotic vehicle in high toxic areas, where human cannot reach but human voice can.
What Controls E-Participation? Government Presence on the Internet and Government Ineffectiveness

This research contributes to the literature on e-participation by proposing a number of e-participation determinant variables. To do this, we assemble cross-section data using an accurate secondary data source and analyze it using the multiple regression equation models. Government asset management in this case is approached by government online presence in various fields of government. We tested this on 129 countries samples. The e-participation indicator is taken from the Global Innovation Index. After the analysis, it is found that the government online presence has a positive effect on e-participation and the government effectiveness has a negative effect on e-participation. Meanwhile, public infrastructure and ecological sustainability and voice positively relate to e-participation. Education the use of ICT, and Islam have no significant effect on e-participation.
Application of remotely sensed sea surface temperature for assessment of recurrent coral bleaching (2014–2019) impact on a marginal coral ecosystem

Abstract The 2014–2016 El Niño Southern Oscillation (ENSO) caused a prolonged marine heatwave that led to widespread coral bleaching and mortality across the Indo-pacific coral reefs. Prediction of coral bleaching and assessment of bleaching impact on corals is vital for reef ecosystem functioning, services and management. Wherein, advanced satellite remote sensing approach to determine and quantify the thermal stress on corals can assist as an alternative and convenient tool for reef monitoring programs. The present study examines the impact of consecutive coral bleaching episodes on shallow-water marginalized patch reef ecosystems on the Eastern Arabian Sea. Advanced Very High-Resolution Radiometer (AVHRR) satellite data from the NOAA Coral Reef Watch’s (NOAA-CRW) platform, known as CoralTemp, were used to analyze the thermal stress on the coral reefs. Coral bleaching indices like Bleaching Threshold (BT), Positive Anomaly (PA), and Degree Heating Weeks (DHW) were calculated. Ground-truthing revealed that detected thermal stress from satellite-derived Sea Surface Temperature (SST) data over this region well corroborate with the mass coral bleaching events, and found reliable for detecting coral bleaching episodes in the marginalized turbid coral habitats. This study signifies the potential benefit of incorporating remote sensed SST data in coral bleaching monitoring program, which may guide to undertake targeted coral surveys and aid in decision-making and conservation of the vulnerable coral reef ecosystems.
Fostering the use of online learning resources: results of using a mobile collaboration tool based on gamification in a blended course

ABSTRACT Over the past years, higher education institutions have been exploring different mechanisms to adapt their learning and teaching practices to increase students’ engagement. One of the proposals has been to reuse Massive Online Open Courses (MOOCs) as Small Online Private Courses (SPOCs), or as complementary resources in traditional courses through blended learning practices, such as flipped classroom. However, the integration of online courses as a complement to face-to-face courses poses some challenges. First, students are not used to such blended learning approaches and it is generally difficult for teachers to motivate them to access online resources for the preparation of face-to-face sessions. Second, students are not used to the dynamics of blended learning scenarios, which are less teacher-centered and require their active participation. We propose the use of the mobile application MyMOOCSpace (MMS) to meet these challenges and increase students’ motivation and use of learning resources in blended learning courses that use SPOCs as a complement. MMS is a mobile learning application based on gamification mechanisms to promote collaboration and motivation of students in the use of digital resources as a complement to blended learning courses. In this paper, we present the results of a quasi-experiment in a blended course with 294 students that uses a SPOC as a complement, with the aim to assess the effect of MMS on students’ motivation and learning resources consumption. In particular, the behavior of two groups of students with the main digital resources of the SPOC (videos and formative assessments) was analyzed: one using the MMS (GTest group), and the other not using MMS (GTrad group). The results suggest that the use of MMS had a positive correlation with the videos consumption, besides increasing student’ interaction with assessment exercises in the SPOC.
Correlation and prediction of residual oil saturation for gas injection EOR processes

A promising correlation has been developed that can be used to predict miscible or near-miscible residual oil saturation, S orm , for a wide range of injected gases, crude oils, temperature, and pressure conditions. The correlation is based on representation of the chemical and physical properties of the crude oil and the injected gas through Hildebrand solubility parameters. This approach has the advantage that characteristics of both the injected gas and crude oil are included in the correlation, in contrast to correlations based solely on properties of the injected gas. The correlation was developed using available experimental data for tertiary recovery of eight crude oils in carbonate and sandstone cores with common EOR gases (CO 2 , N 2 , CH 4 , CH 4 + liquefied petroleum gas). Results for 45 coreflood tests at reservoir conditions collapsed along a band when S orm was plotted as a function of the difference in solubility parameter between the injected gas and the crude oil. Results for a pure oil, decane, with CO 2 lay along the same band. The success of this correlation scheme may be due to the basic characterization of the fluids and to a relationship between solubility parameters and interfacial tension. Use of the correlation requires knowledge of only injected gas composition, injected gas density, oil average molecular weight, and temperature. This empirical correlation should have utility in screening studies or in process simulation as a simple means to forecast residual oil saturations as measured in coreflood tests. The correlation can be used to predict roughly the effects of changes in pressure, temperature, or injected gas composition on residual oil saturation. A new method to predict minimum miscibility pressure based on the solubility parameter concept is also described.
Modelling of a soft multi-chambered climbing robot and experiments

Soft robots have wide potential applications prospects in unstructured environments owing to their being able to imitate forms of motion of creatures in climbing and creeping through small spaces. By utilising the high flexibility of soft materials, a pneumatic soft climbing robot was designed. At first, a model for soft climbing robots with a stiffness gradient was designed according to the drive mode of pneumatic networks in soft robots. Afterwards, the visco-mechanical properties of robots at the contact surface were analysed and also the deformation characteristics of cavities were discussed by using the method of minimum potential energy. Subsequently, through simulation and use of the finite element method, the optimal number of cavities in an actuator required by a climbing robot was calculated and also the climbing behaviours of the robot were analysed. Finally, by employing 3D printing and layer-by-layer casting, a prototype soft climbing robot was prepared to perform climbing experiments. The research is expected to provide a new method for monitoring complex unstructured environments.
Is a Friend in Need a Friend Indeed? How Relationship Borrowers Fare during the COVID-19 Crisis

We analyze loan contract terms, investigating whether relationship borrowers fare better or worse than others in times of need, using the COVID-19 crisis as a quasi-natural experiment. COVID-19 is superior to prior crises for such analysis because its public health and government restrictions shocks directly harm borrowers, rather than banks. Our dataset includes Y-14Q, covering syndicated and non-syndicated loans and small and large firms, unlike some other datasets. We find the dark side of relationships dominates across four relationship measures, fourteen COVID-19 shocks, and PPP participation. There are limited pockets of bright-side findings associated with smaller firms and smaller banks.
Integrated Internet of Things (IoT) technology device on smart home system with human posture recognition using kNN method

IoT device technology is currently developing rapidly, for example in smart home systems that have several features including lighting, surveillance security, temperature control, water sensors, and smart electricity. IoT device consists of smart electricity integrated with human action recognition using sensor vision are developed in this work. In smart electricity system, we build some relays controlled by smartphone applications and web-based platforms. We can control the relays and monitor the voltage, current, and power used from electricity appliances that are connected to our IoT device. In human action recognition, we use a single RGB camera to capture some human poses into spatiotemporal sequences to get data for training. There are six poses for testing scenario, these poses will be clustered using kNN (k-Nearest Neighbor) method. Each human action that is recognized will be connected to an IoT device for controlling the switching mode on the relays in smart electricity system. The result in this experiment shows that the system successfully reads every single posture with quite good accuracy performance using confusion matrix.
A Handwritten Chinese Character Recognition based on Convolutional Neural Network and Median Filtering

With the rapid growth of researches toward computer vision and pattern recognition, methods that based on convolutional neural network (CNN) have shown unique advantages on handwritten characters recognition, also provided impressive results. This paper proposes a model based on CNN to deal with matters of handwritten Chinese character recognition. Different with conventional recognition system, in this model, input images are preprocessed by median filtering to smooth and reduce noise. For testing the stability and performance of the model, two testes are managed respectively. In integral test, experimental results show that the accuracy rate of recognition approach to 90.91% after 5000 times training, mean square error is decreased to 0.0079 at last. Meanwhile, this system also has a good performance at real-time test.
Face verification algorithm based on Angular Margin triplet

In recent years, the face recognition algorithm based on CNN mainly focuses on the improvement of loss function. This paper improves the softmax loss function from two aspects: one is to normalize the weight and features of the loss function, the other is to introduce in class cosine similarity judgment on the basis of the original loss function. These improvements eventually make the distribution of features within the class closer and the distance between classes as far as possible. The recognition accuracy and generalization ability of the network are enhanced.