Miracle-dz/UniFAR-FTUs huggingface dataset:
Compensating the cell-induced light scattering effect in light-based bioprinting using deep learning

Digital light processing (DLP)-based three-dimensional (3D) printing technology has the advantages of speed and precision comparing with other 3D printing technologies like extrusion-based 3D printing. Therefore, it is a promising biomaterial fabrication technique for tissue engineering and regenerative medicine. When printing cell-laden biomaterials, one challenge of DLP-based bioprinting is the light scattering effect of the cells in the bioink, and therefore induce unpredictable effects on the photopolymerization process. In consequence, the DLP-based bioprinting requires extra trial-and-error efforts for parameters optimization for each specific printable structure to compensate the scattering effects induced by cells, which is often difficult and time-consuming for a machine operator. Such trial-and-error style optimization for each different structure is also very wasteful for those expensive biomaterials and cell lines. Here, we use machine learning to learn from a few trial sample printings and automatically provide printer the optimal parameters to compensate the cell-induced scattering effects. We employ a deep learning method with a learning-based data augmentation which only requires a small amount of training data. After learning from the data, the algorithm can automatically generate the printer parameters to compensate the scattering effects. Our method shows strong improvement in the intra-layer printing resolution for bioprinting, which can be further extended to solve the light scattering problems in multilayer 3D bioprinting processes.
Analysis of the Competitive Intelligence Activities of Small and Medium‐Sized Enterprises from the Industrial Sector

The aim of this research is to analyze competitive intelligence (CI) activities in small and medium‐sized enterprises (SMEs) from the industrial sector in Spain. Specifically, an attempt is made to identify why these companies carry out CI activities, the types of activity they carry out, and the influence that a company's features and the environment in which it operates have on developing CI activities. An ad hoc questionnaire was put together comprising 124 items distributed among a sample of 425 SMEs from the industrial sector. The results show that a company's features and environment have a significant influence on the CI activities developed by them.
CAD tools for managing signal integrity and congestion simultaneously

An efficient computer-aided approach is presented that manages delay, signal integrity and routing congestion simultaneously in Printed Circuit Boards and Multichip Modules. The approach is based on use of the Signal Integrity Advisor in conjunction with a global router. The tools have been developed as part of a complete design optimization tool-set spanning partitioning, placement, routing and re-routing. It is also shown how the Signal Integrity Advisor can be used to produce wiring rules for a conventional router.
Novel CMOS Schmitt trigger with controllable hysteresis

A novel CMOS Schmitt trigger with controllable hysteresis based on the standard CMOS circuit with three transistor pairs is proposed. With the addition of only one transistor pair a Schmitt trigger with two selectable hysteresis characteristics can be achieved. Simulation results are compared with theory and a possible application is presented.
Efficacy and safety of probiotics in the induction and maintenance of inflammatory bowel disease remission: a systematic review and meta-analysis.

BACKGROUND Probiotics have been widely used in the treatment of inflammatory bowel disease (IBD) due to their special conditioning effects on the intestinal flora, but their efficacy in inducing and maintaining remission is still controversial. In the present study, we analyzed randomized controlled trials (RCTs) on the treatment of probiotics in IBD to systematically evaluate the efficacy of probiotics on the induction and maintenance of remission of IBD. METHODS PubMed, Cochrane Central Register of Controlled Trials, Embase, Web of Science, Chinese Journal Full-text Database, Chinese Biomedical Literature Database, Wanfang, and Weipu databases were searched for RCTs on the treatment of probiotics in IBD induction and/or maintenance of remission. Two researchers independently extracted literature data and cross-checked the extracted data. The Cochrane bias risk assessment tool and the Jadad score were used to evaluate the quality of the literature. RevMan 5.20 software was used for the meta-analysis. RESULTS A total of ten RCTs were included, which included 777 patients with ulcerative colitis (UC) and Crohn's disease (CD). Meta-analysis showed that there was no significant difference between the clinical recurrence rate of probiotics in the CD remission phase and the control group [relative risk (RR): 0.80, 95% confidence interval (CI): 0.61-1.06, P=0.12]. The clinical recurrence rate of UC in remission phase, the efficacy of probiotics compared with control group were not significantly different (RR: 1.07, 95% CI: 0.80-1.42, P=0.65). The induction remission rate of UC during the active phase, the efficacy of probiotics is better than that of the control group (RR: 1.47, 95% CI: 1.09-1.98, P=0.01). DISCUSSION In the present study, a systematic analysis of the efficacy of probiotics in CD and UC found that probiotics can induce remission during the active period of UC, but have no obvious therapeutic advantage in maintaining CD and UC remission.
Impact of End User Computing on the Individual: An Integrated Model

Formulates and tests an integrated model of the determinants of end user computing (EUC) success. Assesses their effects on job satisfaction and the quality of work life. Tests the model using multiple regression analysis based on a sample of 177 (in the USA! ). Claims a symbiotic relationship between EUC and the worker. Demonstrates that EUC success is influenced by the users′ computer experience, training and organizational level.
An approach for protecting transport infrastructure

Scientific and technological innovations are often sources of new vulnerabilities, hazards and risks impacting equipment, systems, processes, organization, and human behaviours. The issues of safety, security, performance, and their management in a holistic approach are quickly becoming essential for every industrial sector. This article discusses safety and security policy focused on the protection of critical railway infrastructure. The article suggests a global approach for risk appraisal and threat assessment in the railway sector, and highlights some of the technologies for the monitoring and surveillance of rail linear infrastructures.
Personal Health Care Management System Developed under ISO/IEEE 11073 with Bluetooth HDP

The standardization and interoperability become central issues among researchers and the business market in Personal Health Monitoring and U-Health support systems. ISO/IEEE11073 gives a good cost efficient standardization medium for that matter. In this paper, we developed a smart phone based health monitoring system under ISO/IEEE11073 and Bluetooth HDP. Here we report the implementation details of HDP Manager that can be used for personal health monitoring with smart phones based on Bluetooth HDP through HDP agent simulator based on ISO/IEEE 11073 PHD. The gateway in our system is based on HL7 converter. The system is designed for applying to all PHDs based on Bluetooth HDP authorized by CHA (Continua Health Alliance). While there has been a great amount of similar efforts to build a health monitoring system under ISO/IEEE 11073, Android smart phone systems allow only after ICS version announced in 2012 thus this effort is to enhance the interoperability between HDP and smart phones.
Coplanar waveguide‐fed dual‐band antenna for wireless local area network applications

This article presented a dual‐band monopole antenna fed by a coplanar waveguide (CPW) for wireless device applications in the 802.11b/a wireless local area network (WLAN) standards. The antenna consists of a rectangular radiator, two rectangular slots cut on both sides of the radiator, a semiring slot on the radiator, and a CPW feed for easy integration with other components on the printed circuit board. Parametric studies are carried out on the semiring slot and rectangular slots. The rectangular radiator generates two resonant bands at about 2.4 GHz for the 802.11b standard and 5.5 GHz for the upper band of the 802.11a. The semiring slot forms a resonator/bandstop filter to separate the radiator into two parts, hence generating another resonant band at around 5 GHz to cover the lower band of the 802.11a standard. The two rectangular slots improve impedance matching for the 802.11a standard. Simulation and measurement results of the proposed antenna show good agreements. Results show that the proposed dual‐band antenna has good performances in terms of radiation pattern, peak gain, and radiation efficiency. The bandwidth for the 802.11a standard can be easily adjusted using dimensions of the semiring and rectangular slot, giving an easy way for engineers to design antennas for wireless device applications for the WLAN standards. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1391–1396, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26859
AstraZeneca COVID-19 vaccine: A possible risk factor for Stroke, Case Series from Sudan

Cerebrovascular accident (CVA) is one of the commonest neurological deficits. There is a well-known association between COVID-19 and stroke. We present a case series of Sudanese patients who developed CVA after receiving the AstraZeneca COVID-19 vaccine suggesting a relationship between the vaccine and CVA.
A Novel Anti-Drift Visual Object Tracking Algorithm Based on Sparse Response and Adaptive Spatial-Temporal Context-Aware

Correlation filter (CF) based trackers have gained significant attention in the field of visual single-object tracking, owing to their favorable performance and high efficiency; however, existing trackers still suffer from model drift caused by boundary effects and filter degradation. In visual tracking, long-term occlusion and large appearance variations easily cause model degradation. To remedy these drawbacks, we propose a sparse adaptive spatial-temporal context-aware method that effectively avoids model drift. Specifically, a global context is explicitly incorporated into the correlation filter to mitigate boundary effects. Subsequently, an adaptive temporal regularization constraint is adopted in the filter training stage to avoid model degradation. Meanwhile, a sparse response constraint is introduced to reduce the risk of further model drift. Furthermore, we apply the alternating direction multiplier method (ADMM) to derive a closed-solution of the object function with a low computational cost. In addition, an updating scheme based on the APEC-pool and Peak-pool is proposed to reveal the tracking condition and ensure updates of the target’s appearance model with high-confidence. The Kalam filter is adopted to track the target when the appearance model is persistently unreliable and abnormality occurs. Finally, extensive experimental results on OTB-2013, OTB-2015 and VOT2018 datasets show that our proposed tracker performs favorably against several state-of-the-art trackers.
Three-Dimensional Motion Analysis and Inverse Dynamic Modelling of the Human Golf Swing

The ideal of the golf sport industry is the unique matching of golf player and golf club, thereby providing an optimized golf club design based on the player's skill and ability. A review of available literature showed a clear lack of an accurate tool to analyze a player's golf swing. This paper presents a methodology to analyze human golf swing kinematics and to derive biomechanical loading in the human arm, as well as loads in the golf club, from 3D motion tracking measurements of the player's golf swing. Three-dimensional motion tracking data of a player's golf swing have been analyzed and transformed into rotation data of the joints of the human arm. The calculated rotations of the arm joints have been prescribed to a numerical human golf swing model. The accuracy of the golf swing model was verified by comparison with the experimental golf club shaft bending strains along the golf club shaft.
Local attitudes towards natural resources management in rural Ghana

Purpose – Local support is fundamental in natural resources management (NRM). However, recent studies indicate that NRM in protected areas in developing countries is often faced with local resistance due to its impacts on livelihoods. The purpose of this paper is to examine local attitudes – positive and negative responses – towards NRM in protected areas and implications of NRM benefits on local support for conservation of protected areas. Design/methodology/approach – A quantitative research method was used for this study. Structured questionnaire survey was administered to 310 respondents across four case study communities – Abrafo, Mesomagor, Adadientem and Nuamakrom – around the Kakum Conservation Area (KCA), Ghana. χ2 test and logistic regression were used to analyse the data with the aid of Statistical Package for Social Sciences (SPSS) software. Findings – Findings showed positive attitudes towards NRM in protected areas (85.9 per cent) and high support for conservation of KCA (86.5 per cent). Res.
Exploring Sustainability Reports in The Indonesian Palm Oil Industry

The purpose of this study is to assess the quality and maturity of sustainability reports of palm oil companies listed on the Indonesia Stock Exchange (IDX). The findings indicate that there are few differences in the maturity levels of palm oil companies in implementing sustainability reporting based on GRI standards and the maturity sustainability reporting at a moderate level of relevant information. The majority of disclosure of sustainability reports is general disclosures and less present in economic and environmental disclosures. Companies need to improve the quality of their sustainability reporting and strengthen the validity of the measurement. Sustainability reports have the potential to improve the sustainability agenda by allowing management and shareholders to make more informed decisions about sustainability initiatives.
PREDICCIÓN DE LA TEMPERATURA DE LA CONTENCIÓN PRIMARIA DE UNA CENTRAL NUCLEAR MEDIANTE REDES NEURONALES.

RESUMEN En las centrales nucleares, la temperatura de la atmosfera de Contencion Primaria es un parametro operativo relevante, para el cual las Especificaciones Tecnicas de Funcionamiento de cada instalacion fijan un valor limite en operacion normal. Dicho limite es una condicion inicial en los analisis de seguridad aplicables. En el caso de la Central Nuclear de Santa Maria de Garona el limite para la temperatura media de la atmosfera de Contencion Primaria en operacion normal es de 58oC. El sistema de refrigeracion instalado para extraer el calor que se produce en el interior de la Contencion consta principalmente de grupos frigorificos (3), bombas (2), y climatizadores o equipos HVH (5). La bomba en servicio impulsa el fluido refrigerante (agua desmineralizada) previamente refrigerado por los grupos frigorificos en servicio (2), que circula por las baterias de los 5 climatizadores refrigerando la atmosfera de la Contencion, la cual esta inertizada con nitrogeno. De esta manera, el fluido refrigerante calentado retorna a los grupos frigorificos completando asi el circuito. En caso de indisponibilidad de los climatizadores en servicio, se produciria un ligero aumento en la temperatura media de la Contencion.En este articulo se muestra el uso de redes neuronales para predecir la evolucion de la temperatura de la atmosfera de Contencion ante la variacion de las distintas variables que influyen en la misma, como son la temperatura del agua de servicios (foco frio de los grupos frigorificos), los tarados de temperatura de los compresores de los grupos frigorificos, el caudal del nucleo y el numero de climatizadores en servicio. Las redes neuronales utilizadas incorporan todo el conocimiento historico almacenado de los distintos modos de funcionamiento del sistema de refrigeracion de la atmosfera de la Contencion y muestran una elevada exactitud en la prediccion de la temperatura de la Contencion Primaria, configurandose asi como una herramienta operativa muy util para la toma de decisiones sobre el punto de funcionamiento del sistema.
A neural mechanism for detecting object motion during self-motion

Detecting objects that move in a scene is a fundamental computation performed by the visual system. This computation is greatly complicated by observer motion, which causes most objects to move across the retinal image. How the visual system detects scene-relative object motion during self-motion is poorly understood. Human behavioral studies suggest that the visual system may identify local conflicts between motion parallax and binocular disparity cues to depth, and may use these signals to detect moving objects. We describe a novel mechanism for performing this computation based on neurons in macaque area MT with incongruent depth tuning for binocular disparity and motion parallax cues. Neurons with incongruent tuning respond selectively to scene-relative object motion and their responses are predictive of perceptual decisions when animals are trained to detect a moving object during self-motion. This finding establishes a novel functional role for neurons with incongruent tuning for multiple depth cues.
Protein Misfolding and Aggregation: The Relatedness between Parkinson’s Disease and Hepatic Endoplasmic Reticulum Storage Disorders

Dysfunction of cellular homeostasis can lead to misfolding of proteins thus acquiring conformations prone to polymerization into pathological aggregates. This process is associated with several disorders, including neurodegenerative diseases, such as Parkinson’s disease (PD), and endoplasmic reticulum storage disorders (ERSDs), like alpha-1-antitrypsin deficiency (AATD) and hereditary hypofibrinogenemia with hepatic storage (HHHS). Given the shared pathophysiological mechanisms involved in such conditions, it is necessary to deepen our understanding of the basic principles of misfolding and aggregation akin to these diseases which, although heterogeneous in symptomatology, present similarities that could lead to potential mutual treatments. Here, we review: (i) the pathological bases leading to misfolding and aggregation of proteins involved in PD, AATD, and HHHS: alpha-synuclein, alpha-1-antitrypsin, and fibrinogen, respectively, (ii) the evidence linking each protein aggregation to the stress mechanisms occurring in the endoplasmic reticulum (ER) of each pathology, (iii) a comparison of the mechanisms related to dysfunction of proteostasis and regulation of homeostasis between the diseases (such as the unfolded protein response and/or autophagy), (iv) and clinical perspectives regarding possible common treatments focused on improving the defensive responses to protein aggregation for diseases as different as PD, and ERSDs.
Steep Wave Loads From Irregular Waves on an Offshore Wind Turbine Foundation: Computation and Experiment

Bo Terp PaulsenDTU Mechanical EngineeringDK-2800 Kgs. LyngbyDenmarkEmail: botp@dtu.dkHenrik BredmoseDTU Wind EnergyDK-2800 Kgs. LyngbyDenmarkEmail: hbre@dtu.dkHarry B. BinghamDTU Mechanical EngineeringDK-2800 Kgs. LyngbyDenmarkEmail: hbb@dtu.dkSigne SchloerDTU Wind EnergyDK-2800 Kgs. LyngbyDenmarkEmail: sigs@dtu.dkABSTRACTTwo-dimensional irregular waves on a sloping bed and theirimpact on a bottom mounted circular cylinder is modeled bythree different numerical methods and the results are validatedagainst laboratory experiments. We here consider the perfor-mance of a linear-, a fully nonlinear potential ﬂow solver and afully nonlinear Navier-Stokes/VOF solver. The validation is car-ried out in terms of both the free surface elevation and the inlineforce. Special attention is paid to the ultimate load in case of asingle wave event and the general ability of the numerical modelsto capture the higher harmonic forcing. The test case is repre-sentative for monopile foundations at intermediate water depths.The potential ﬂow computations are carried out in a two-dimensional vertical plane and the inline force on the cylinderis evaluated by the Morison equation. The Navier-Stokes/VOFcomputations are carried out in three-dimensions and the forceis obtained by spatial pressure integration over the wettet areaof the cylinder. In terms of both the free surface elevation andthe inline force, the linear potential ﬂow model is shown to be oflimited accuracy and large deviations are generally seen whencompared to the experimental measurements. The fully nonlin-ear Navier-Stokes/VOF computations are accurately predictingboth the free surface elevation and the inline force. However, thecomputational cost is high relative to the potential ﬂow solvers.Despite the fact that the nonlinear potential ﬂow model is car-ried out in two-dimensions it is shown to perform just as goodas the three-dimensional Navier-Stokes/VOF solver. This is ob-served for both the free surface elevation and the inline force,where both the ultimate load and the higher harmonic forces areaccurately predicted. This shows that for moderately steep irreg-ular waves a Morison equation combined with a fully nonlineartwo-dimensional potential ﬂow solver can be a good approxima-tion.1 IntroductionFor most offshore engineering cases an accurate determina-tion of hydrodynamic loads is crucial for an economic yet safedesign. Traditionally these loads are estimated from laboratoryexperiments and/or numerical computations. Laboratory experi-ments are often costly and normally restricted to small scale dueto the limited size of the test facilities. In the numerical com-putations one is not restricted by the size of the experimental1 Copyright © 2013 by ASME
Magnitude and determinants of “Social Capital” among women in reproductive age group - A cross-sectional study from rural Wardha, Central India

Context: Social capital reflects the trust, norms, values and social processes that governs interaction among people. Aim: This study was conducted to estimate the magnitude and determinants of social capital among women of reproductive age group in selected village of rural Wardha, Central India. Materials and Methods: It was a community based cross-sectional study where two stage cluster sampling technique was used to select 300 participants from 22 villages. Data were collected using a pre-designed interviewer administered questionnaire by house-to-house survey. Social capital was measured using the core set of Integrated Questionnaire for the Measurement of Social Capital developed by World Bank. Statistical Analysis: Multivariate linear regression was applied to find out determinants of social capital. Results: Most of the participants had poor social capital score (women having lowest and middle tertile scores were 36.0% and 45%, respectively). social capital poorer in younger women, women with lower educational qualification, not involved in gainful occupation, belonging to below poverty line and unmarried compared to their counterparts. Having at least one son was positively associated with higher social capital. In adjusted analysis, age, education, occupation, marital status, and whether the woman has son were revealed as significant determinants of social capital. Conclusion: The study findings reflect the need of improving education and job opportunity among rural women to improve their social capital. Increase of social capital among women having male child reflects the need to percolate the message of gender equity and gender sensitive education.