Miracle-dz/UniFAR-FTUs huggingface dataset:
Who's Next: Rising Star Prediction via Diffusion of User Interest in Social Networks

Finding items with potential to increase sales is of great importance in online market. In this paper, we propose to study this novel and practical problem: rising star prediction. We call these potential items Rising Star, which implies their ability to rise from low-turnover items to best-sellers in the future. Rising stars can be used to help with unfair recommendation in e-commerce platform, balance supply and demand to benefit the retailers and allocate marketing resources rationally. Although the study of rising star can bring great benefits, it also poses challenges to us. The sales trend of rising star fluctuates sharply in the short-term and exhibits more contingency caused by some external events (e.g., COVID-19 caused increasing purchase of the face mask) than other items, which cannot be solved by existing sales prediction methods. To address above challenges, in this paper, we observe that the presence of rising stars is closely correlated with the early diffusion of user interest in social networks, which is validated in the case of Taocode (an intermediary that diffuses user interest in Taobao). Thus, we propose a novel framework, RiseNet, to incorporate the user interest diffusion process with the item dynamic features to effectively predict rising stars. Specifically, we adopt a coupled mechanism to capture the dynamic interplay between items and user interest, and a special designed GNN based framework to quantify user interest. Our experimental results on large-scale real-world datasets provided by Taobao demonstrate the effectiveness of our proposed framework.
Formation sur la naloxone en clinique de médecine familiale, une mesure
 prometteuse

Various interventions exist to reduce opioid-related mortality, including Take Home Naloxone Programs. However, the overwhelming majority of these interventions are community programs targeting non-medical drug users. Only a few interventions target patients in primary care clinics taking prescription opioids for chronic pain or opioid agonist therapy (OAT) for opioid use disorder. The aim of this quasi-experimental time-series design study was to generate preliminary data on the effectiveness of an overdose prevention and naloxone training program in a primary care clinic setting. Study participants were opioid users (chronic pain or OAT) followed at Charles-LeMoyne family medicine group, who had no previous training on naloxone. The intervention was a standardized 1-hour group training session about overdose risk and management. A 14-question form used to evaluate naloxone training programs, the Opioid Overdose Knowledge Scale (OOKS), was used to assess the participant’s understanding and information retention. Means for OOKS scores were 24.8/44 at T0, 39.1/44 at T1 and 35.0/44 at T2, suggesting an increased and sustained knowledge regarding overdose management and naloxone use in both groups, following the training session. Most participants reported an increased confidence in their ability to use naloxone appropriately three months after the intervention. In the North American opioid crisis context, training at-risk patients in primary care clinics is promising and would allow reaching more opioid users to prevent opioid-related adverse events.
Practitioner's Section Standardized cost estimation for new technologies (SCENT) - methodology and tool

This paper presents the development of a methodology and tool (called SCENT) to prepare preliminary economic estimates of the total production costs related to manufacturing in the process industries. The methodology uses the factorial approach ‐ cost objects are estimated using factors and percentages on the basis of the purchased equipment cost. The chosen approachisbasedonanextensiveliteraturesurveyonmethodologiesandsuitable data. The approach has the advantage that it can be based on a limited amount of data(listofequipmentrequiredforthetechnology). Thereforeitisespeciallysuitable forneworemergingtechnologies.Thetheoreticalaccuracyofthepreparedestimates is within ±30%.
Introduction: The Role of SMEs in the Global Economy

Lester Lloyd-Reason and Leigh Sear bring together leading researchers and thinkers in this critical guide to the ongoing, worldwide research shaping the role played by SMEs within today’s global economy. The expert contributors contend that the past twenty years have seen an explosion in research into international SMEs, resulting in a considerable body of academic literature and thinking. This research, they argue, may merely serve to increase our lack of understanding in this area, and often results in myths and misconceptions upon which SME policies and support programmes have been developed and introduced.
LE SARCOME DU STROMA ENDOMETRIAL : A PROPOS DUN CAS ET REVUE DE LA LITTERATURE

Le sarcome du stroma endometrial (SSE) de bas grade est une entite histologique rare.Le SSE represente 0,2 % de toutes les tumeurs malignes de luterus, et environ 7 a 25% des sarcomes uterins. Il comprend le SSE de bas grade et le SSE indifferencie (anciennement de haut grade). En raison de labsence de signes pathognomoniques cliniques et radiologiques le diagnostic des SSE est porte retrospectivement apres analyse de la piece operatoire. Le traitement optimal de cette pathologie nest toujours pas clair.Lhysterectomie sans conservation annexielle est le traitement classique. Il nexiste pas de consensus concernant le traitement adjuvant. Nous rapportons le cas dune patiente diagnostiquee dun sarcome du stroma endometrial de bas grade au sein du service de gynecologie au CHU IBN ROCHD de CASABLANCA. A travers ce cas rare et a la lumiere dune revue de la litterature, nous decrivons les caracteristiques epidemiologiques, diagnostiques, therapeutiques et pronostiques de cette tumeur.
Inequalities of Suicide Mortality across Urban and Rural Areas: A Literature Review

Suicide mortality is a major contributor to premature death, with geographic variation in suicide rates. Why suicide rates differ across urban and rural areas has not yet been fully established. We conducted a literature review describing the urban–rural disparities in suicide mortality. Articles were searched in five databases (EMBASE, PubMed, PsychINFO, Scopus, and Web of Science) from inception till 26 May 2021. Eligible studies were narratively analyzed in terms of the urban–rural disparities in suicides, different suicide methods, and suicide trends over time. In total, 24 articles were included in our review. Most studies were ecological and cross-sectional evidence tentatively suggests higher suicide rates in rural than in urban areas. Men were more at risk by rurality than women, but suicide is in general more prevalent among men. No obvious urban–rural pattern emerged regarding suicide means or urban–rural changes over time. Potential suicidogenic explanations include social isolation, easier access to lethal means, stigmatization toward people with mental health problems, and reduced supply of mental health services. For research progress, we urge, first, individual-level cohort and case-control studies in different sociocultural settings. Second, both rurality and urbanicity are multifaceted concepts that are inadequately captured by oversimplified typologies and require detailed assessments of the sociophysical residential environment.
Preshaping Command Inputs to Reduce System Vibration

A method is presented for generating shaped command inputs which significantly reduce or eliminate endpoint vibration. Desired system inputs are altered so that the system completes the requested move without residual vibration. A short move time penalty is incurred (on the order of one period of the first mode of vibration). The preshaping technique is robust under system parameter uncertainty and may be applied to both open and closed loop systems. The Draper Laboratory''s Space Shuttle Remote Manipulator System simulator (DRS) is used to evaluate the method. Results show a factor of 25 reduction in endpoint residual vibration for typical moves of the DRS.
Commentary: Renewed interest in off-axis retinoscopy and peripheral refraction for it’s role in control of myopia progression

We all know that vision is a combination of optical input and neural processing. Traditionally, retinoscopy has remained the benchmark for the assessment of refractive errors for the optical input that is perceived by the eye and then processed by the brain. Conventionally, it has always been known that “on the visual axis” (on‐axis) retinoscopy gives a more accurate estimate of refractive error compared to retinoscopy that is done off the visual axis (off‐axis).
Sustainable Automobile Transport

Transport, and in particular road transport, represents a significant global threat to long-term sustainable development, and is one of the fastest-growing consumers of final energy and sources of greenhouse gas emissions. In this book, long-term energy–economy–environment scenarios are used to identify the key technological developments required to address the challenges passenger car transport poses to climate change mitigation and energy security. It also considers possible targets for policy support and examines some of the elements that contribute to the significant levels of uncertainty – particularly social and political conditions. The book then builds on this long-term scenario analysis with a broad review of recent empirical examples of relevant policy implementation to identify near-term options for the passenger transportation sector which may promote a shift towards a more sustainable transport system over the longer term.
Transport of complex and active fluids in porous media

Complex and active fluids find broad applications in flows through porous materials. Nontrivial rheology can couple to porous microstructure leading to surprising flow patterns and associated transport properties in geophysical, biological, and industrial systems. Viscoelastic instabilities are highly sensitive to pore geometry and can give rise to chaotic velocity fluctuations. A number of recent studies have begun to untangle how the pore-scale geometry influences the sample-scale flow topology and the resulting dispersive transport properties of these complex systems. Beyond classical rheological properties, active colloids and swimming cells exhibit a range of unique properties, including reduced effective viscosity, collective motion, and random walks, that present novel challenges to understanding their mechanics and transport in porous media flows. This review article aims to provide a brief overview of essential, fundamental concepts followed by an in-depth summary of recent developments in this rapidly evolving field. The chosen topics are motivated by applications, and new opportunities for discovery are highlighted.
Auction based cost‐efficient resource allocation by utilizing blockchain in fog computing

In the IoT‐cloud environment, the growing amount of spawn data may limit performance in terms of communication latency, network traffic, processing power, and energy usage. The introduction of fog computing extends the cloud services nearer to the edge of the network. Since these lightweight fog servers are not able to fulfill the demand of every user node and process each offloaded task due to the limited computation resources. Accordingly, an efficient resource management scheme is required to proficiently handle fog resources. The profit‐driven nature of both the fog service providers and user nodes increases the possibility of malicious activity while resource trading for their advantages or to privilege a bunch of devices. In this article, we designed a trusted and fair incentive mechanism that encourages buyers and sellers to trade by leveraging the benefits of blockchain and smart contracts. Especially, a combinatorial double auction employed market model is proposed which satisfies different economical properties such as individual rationality, budget balance, and truthfulness. Blockchain‐driven decentralized fog environments prevent the tampering of trade‐related information by the malicious nodes. Simulation results indicate that the proposed combinatorial double auction significantly improves the network utilization by improved winner determination and pricing model.
Sol-gel Synthesis and Characterization of MgCO3 – Al2O3 Composite Solid Electrolytes

Composite solid electrolytes in the system (1-x)MgCO3 – xAl2O3 with x = 0.1 - 0.9 were synthesized by a sol-gel method and analyzed by X-ray diffraction, differential scanning calorimetry, thermogravimetric analysis, scanning electron microscopy, energy dispersive X-ray, Fourier transform infrared spectroscopy and alternating current impedance spectroscopy for the determination of the phases and crystallinity, thermal stability, surface morphology, elemental composition, chemical bonding and conductivity, respectively. The composites show that, the crystallinity of the composites decreases as the amount of Al2O3 increase which could lead to higher conductivity. The thermal decomposition studies also indicate that the melting and/or decomposition of the composites occur at lower temperature than the pure MgCO3 which normally take place at 350 oC. The composite with the ratio of x = 0.9 give the highest conductivity value in order of 10-4 S.cm-1 as compared to other ratio due to effective transfer of charge carriers in addition to the formation of MgO-Mg2+ species at the interface.
Passive height stability and trajectory repeatability of a quadrotor maneuvering in ground effect with regulated voltage bus

Passively stable aerodynamic systems are able to regulate their flight without need for additional sensing or actuation. Passive rotorsurface interaction provides a mechanism for repelling a rotorcraft away from the ground and surrounding objects. However, the vertical dynamics of a helicopter are very sensitive to battery voltage, which makes developing these systems more challenging. There is a need to maintain a constant motor bus voltage so that the response of the system is consistent. We employ a step-down buck regulator to maintain a constant voltage for the entire drive system of a miniature quadrotor. This allows us to better study the power efficiency of a quadrotor in ground effect, demonstrate robust passive height stability and determine the influence of voltage variability on trajectory repeatability.
A High-Efficiency Fast-Transient LDO With Low-Impedance Transient-Current Enhanced Buffer

This article proposes a new low-impedance transient-current enhanced (LTE) buffer, which is applied for low-dropout regulator (LDO) with large off-chip capacitor. The LTE buffer is based on current-shunt feedback technique and two ac coupling networks, which can achieve an extremely low output impedance and high charging/discharging current of the gate of power transistor at load transient response, while maintaining low-quiescent current consumption under the full-load range. In addition to containing the LTE buffer, the proposed LTE-LDO employs recycling-folded-cascode amplifier as the error amplifier, which has the advantage of high loop gain, loop bandwidth, and current efficiency. Meanwhile, simple Miller compensation with a nulling resistor is employed for frequency compensation and a complete small-signal analysis under different load current conditions is given in this article. This design has been implemented in semiconductor manufacturing international corporation 0.18 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m complementary metal–oxide–semiconductor process and the experimental results show that the quiescent current consumption is about 48 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>A, and the maximum current efficiency of the LTE-LDO is 99.976<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula>. The measured transient response shows that under the condition of 1 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>F load capacitance, when the load current changes to 200 mA/100 ns, the output voltage change is 76 mV.
La participación ciudadana en fiestas populares del Caribe colombiano: análisis cuantitativo del Carnaval de Barranquilla y las Fiestas de Independencia de Cartagena

Este artículo analiza la participación ciudadana en actividades culturales, en particular en las fiestas de origen popular de mayor ascendiente en el Caribe colombiano, el Carnaval de Barranquilla y las Fiestas de Independencia de Cartagena, cuyas conexiones históricas y evolución han sido determinantes en la construcción de la memoria festiva regional. Se aplica el enfoque y el método de la economía de la cultura para identificar y comparar los factores asociados a la participación de la población durante la última década, y se utilizan las encuestas de los programas Cómo Vamos de ambas ciudades para evaluar empíricamente el papel de un conjunto de variables tradicionales y del contexto local en la decisión de participar en estas celebraciones. Los resultados muestran amplias brechas intere intra ciudades, que se asocian al capital cultural, el sexo y el tiempo de ocio, y a otras consideradas estructurales, como el estatus socioeconómico, la pobreza y el lugar de residencia. Estas inequidades son sustancialmente mayores en Cartagena, donde se hace necesario ampliar el acceso a los sectores más rezagados. Los resultados dan luces al diseño de políticas culturales locales más inclusiva y sostenible que dinamice el patrimonio cultural inmaterial de ambas ciudades.
GRAVITY COMPENSATION IMPROVEMENT FOR A CABLE-ACTUATED ELBOW REHABILITATION ROBOT USING SLIDING MODE CONTROL

Original Research Paper Received 03 July 2015 Accepted 01 September 2015 Available Online 14 October 2015 Performance increasing of robot-aided training in stroke elbow rehabilitation is the goal of this paper. Therapist holds on the arm of patient and guides the center of mass along desired trajectory. In robotic rehabilitation, when the arm of patient is rotated within the desired boundaries, (s)he should ideally not feel the robot. The robot needs to actively compensate for the weight of the exoskeleton and reflected mass of the motors. nonlinear torsion spring can be used and also counter-torque as function of arm angle is applied by the motor. Applying the springs affords more convenience, it allows smaller motors to be used, the size of required brakes can be reduced and inherent safety is introduced in rehabilitation robots. Furthermore, the robust controller design can be used to compensate the modeling errors and gravitational force. novel elbow rehabilitation robot is designed based on the cable actuation. The strategy is not just antigravitational forces because there should be joint-stiffness control. The uncertainty in the patients arm dynamic is effectively approximated. The motion of closed-loop control system in the presence of parametric uncertainties is investigated. The sliding mode controller with proportional-derivative controller is compared through computer simulation and improvement is observed.
Rapid Removal of Acid Red 88 by Zeolite/Chitosan Hydrogel in Aqueous Solution

In the present study, we developed a new adsorbent product with zeolite crosslinked chitosan (ZL–CH hydrogel) to remove acid red 88 (AR88) in an aqueous solution. The effects of several factors, such as the comparison of ZL–CH hydrogel and the absence of chitosan, pH, adsorbent dosage, initial AR88 concentration, contact time, and ion strength, were determined. Obtained results showed that ZL–CH hydrogel improved AR88 removal compared to the absence of chitosan, with an adsorption capacity of 332.48 mg/g in equilibrium time of 1 min, and adding ionic strength had no significant effect. However, with optimal conditions at pH 2.0, dry ZL–CH became hydrogel due to protonation of amino and hydroxyl groups through hydrogen bonds in the AR88 solution. Volume fraction and interaction force decreased with increasing porosity, leading to an increase in adsorption capacity and swelling ratio. Experimental data of the adsorption process showed the Freundlich isotherm model. The equilibrium for adsorption and swelling kinetics studies showed and fitted a pseudo-second-order model. NaOH was successful as a desorbing agent with 93.8%, and it followed the pseudo-second-order kinetics model. The recycling process indicates great potential for AR88 removal.
Twenty-Year Mortality Trends in Patients with Kidney Disease in Poland with the Use of the Years of Life Lost Measure, 2000–2019

Due to the significant socioeconomic burden of kidney diseases, we decided to analyse years of life lost (YLLs) from this cause in Poland between the years 2000 and 2019. The standard expected years of life lost (SEYLL) measure was used to calculate the number of YLLs, the value of which was related to the size of the study population and calculated per 100,000 persons (SEYLLp). A time trend analysis was performed using the Joinpoint regression method. In 2000, the number of YLLs for the entire population was 72,795 (SEYLLp = 190.3 years). After a period of minor changes between 2000 and 2011 (increasing at 0.9% per year), the YLL index rapidly declined between 2011 and 2015 (at −15.4% yearly) and then increased in the last years of the study period (at 12.5% yearly). These changes resulted in a decrease in the number of YLLs to 57,278 in 2019 (SEYLLp = 149.2). The deteriorating health status of Poles after 2015 most likely was caused by the aging of the population, as well as the increasing incidence of risk factors, in particular diabetes and arterial hypertension.
The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal

Cardiac auscultation is a key screening tool used for cardiovascular evaluation. When used properly, it speeds up treatment and thus improving the patient’s life quality. However, the analysis and interpretation of the heart sound signals is subjective and dependent of the physician’s experience and domain knowledge. A computer assistant decision (CAD) system that automatically analyse heart sound signals, can not only support physicians in their clinical decisions but also release human resources to other tasks. In this paper, and to the best of our knowledge, for the first time a SMOTE strategy is used to boost a Convolutional Neural Network performance on the detection of murmur waves. Using the SMOTE strategy, a CNN achieved an overall of
Modulation of Cellular Redox Parameters for Improving Therapeutic Responses in Multiple Myeloma

Raised oxidative stress and abnormal redox status are typical features of multiple myeloma cells, and the identification of the intimate mechanisms that regulate the relationships between neoplastic cells and redox homeostasis may reveal possible new anti-myeloma therapeutic targets to increase the effectiveness of anti-myeloma drugs synergistically or to eradicate drug-resistant clones while reducing toxicity toward normal cells. An alteration of the oxidative state is not only responsible for the onset of multiple myeloma and its progression, but it also appears essential for the therapeutic response and for developing any chemoresistance. Our review aimed to evaluate the literature’s current data on the effects of oxidative stress on the response to drugs generally employed in the therapy of multiple myeloma, such as proteasome inhibitors, immunomodulators, and autologous transplantation. In the second part of the review, we analyzed the possibility of using other substances, often of natural origin, to modulate the oxidative stress to interfere with the progression of myelomatous disease.