Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping public support for climate solutions in France

Although successful sustainability transitions depend on public support, we still know little about citizens’ opinions on climate solutions. Existing research often focuses on the problem perception of climate change rather than analyzing attitudes toward specific climate solutions. Studies also largely use closed questions to assess public opinion, posing a problem of ecological validity. Here, we address these gaps by leveraging data from a large-scale public consultation process, the “Grand Débat National”, launched by the French government in response to the Yellow Vest movement in 2019. Combining structural topic modelling, dictionary-based text analysis and qualitative coding, we map the salience and directionality of public opinion on climate solutions. We find that consultation participants perceive climate change as the most salient environmental problem. Transforming the transport and energy sectors is the most supported solution for addressing climate change. For these two sectors, substitution-based climate solutions - as opposed to sufficiency- or efficiency-based measures - are most salient. For instance, participants stress the need to expand public transport infrastructure and switch to renewable energy technologies for power generation. Our findings demonstrate a strong public consensus on most substitution-based climate solutions, except for the role of cars and nuclear energy. While most participants do not link climate solutions to specific policy instruments, we find preferences for authority-based instruments in the context of phasing out polluting technologies, and treasury-based instruments for supporting innovation and phasing in low carbon technologies.
Implementing E-governance in bangladesh using cloud computing technology

The evolution of cloud computing technology has brought a significant impact in our life. Having different constrains such as high volume query processing request, managing a central data center, data security, uncertainty of electric power, lack of domain knowledge expertise, we personally believe eGovernance implementation with the cloud computing technology can resolve the constrains as par discussed. Our thesis will present a novel cloud computing model for implementing eGovernance system in Bangladesh and also the implementations of eGovernance applications in a cloud platform such as Google apps engine. This platform is based on distributed system, it has non-relational database such as BigTable. It can scale up to zeta bytes records and query and it has the power of fault tolerance and high availability, which are the basic requirement for the implementations of Cloud based eGovernance system.
Efficacité des Aires Communautaires de Conservation de la Biodiversité (ACCB) à protéger les espèces ligneuses menacées dans la réserve de biosphère du Mono (Bénin)

La création des réserves de biosphère constitue une des stratégies adoptées pour assurer la conservation de la biodiversité. Malgré cette disposition, l'efficacité des réserves de biosphère pour garantir la conservation de la biodiversité demeure encore un sujet de discussion scientifique. Cette étude visait à analyser l'efficacité de la réserve de biosphère du Mono au Bénin dans la conservation des espèces ligneuses menacées. Une modélisation de l'entropie maximale (MaxEnt) a été réalisée pour identifier les habitats favorables de ces espèces ligneuses menacées. Les habitats favorables aux différentes espèces ligneuses menacées ont ensuite été superposés aux ACCB existantes pour déterminer la proportion des habitats favorables retrouvée dans ces ACCB. Les résultats ont révélé des lacunes en matière de conservation dans la réserve de biosphère du Mono, car plus de 86% des habitats favorables aux espèces ligneuses menacées se trouvaient hors de l’aire centrale et de la zone tampon de la réserve où étaient concentrés les efforts de conservation. Sur la base de ces résultats, il est nécessaire de générer de nouvelles aires centrales à partir des habitats appropriés des espèces ligneuses menacées pour réduire les lacunes de conservation dans la réserve de biosphère du Mono. English title: Effectiveness of Community Areas for Biodiversity Conservation (ACCB) in protecting threatened woody plant species in the Mono biosphere reserve (Benin) The creation of biosphere reserves is one of the strategies adopted to ensure the conservation of biodiversity. However, the effectiveness of biosphere reserves in ensuring the conservation of biodiversity still remains a subject of scientific debate. This study aimed to analyse the effectiveness of the Mono biosphere reserve (Benin) in the conservation of threatened woody species. Maximum entropy modelling (MaxEnt) was performed to identify suitable habitats for these threatened woody species. The suitable habitats for the various threatened woody species were then superimposed on the existing ACCB to determine the proportion of suitable habitats found in these ACCB. The results revealed conservation gaps in the Mono biosphere reserve, as more than 86% of suitable habitats for threatened woody species were found outside the core area and buffer zone of the reserve where conservation efforts were concentrated. Based on these results, it is necessary to generate new core areas from suitable habitats of threatened woody species to reduce the conservation gaps in the Mono biosphere reserve.
Observer-based self-organizing adaptive fuzzy neural network control for non-linear, non-affine systems with unknown sign of control gain and dead zone: A case study of pneumatic actuators

In this paper, an observer-based self-organizing adaptive fuzzy neural network (OSOAFNN) control for non-linear, non-affine systems with the unknown sign of control gain and dead zone is presented. First, a reverse dead-zone compensator scheme to cope with the impact of dead-zone phenomenon existing in control input is investigated. Then, an observed-based control approach to address immeasurable states of the system is proposed, utilizing this approach all states of the system are not needed to be available. A self-organizing fuzzy neural network (SOFNN) technique is presented to approximate the non-linear and unknown function of the observer error dynamics. The proposed fuzzy neural network (FNN) model benefits from two main advantages: (1) the number of rules is automatically generated or pruned and (2) the parameters of antecedent and consequent part of SOFNN are updated through the hybrid tuning, simultaneously. Furthermore, the control law contains a Nussbaum function which deals with the unknown sign of control gain. As the system states are immeasurable, the strictly positive real (SPR) Lyapunov function to guarantee the closed-loop system stability, and tracking error convergence to zero is employed, as well as the boundedness of control parameters are assured through a projection law merged with adaptive law. Finally, the controller is practically implemented on a non-linear, non-affine pneumatic system with unknown dead zone which exploits just a sensor for output measuring. Experimental results show that the proposed controller has satisfactory performance in tracking different trajectories, and tracking error for desired signal case I and case II is limited to [−1.5, 1.5] and [−1,1]mm, respectively.
Pomological Traits and Genome Size of Prunus armeniaca L. Considering to Geographical Origin

Apricot (Prunus armeniaca L.) is an important fruit crop and member of the Prunus genus of the Rosaceae family that is planted in many temperate regions worldwide. The quality of fruit is assessed by many pomological parameters which can serve as a decisive factor in apricot breeding, because the introduction of new cultivars is required. These parameters can differ with climate conditions, geographical location or geographic ecological origin. Similarly, another biological characteristic can be measured depending on these terms. The present study was conducted with the aim of estimating pomological traits together with the nuclear DNA content of 35 apricot cultivars with different geographical origins. Only CV values lower than 5% were considered in flow cytometry analysis. All analyzed cultivars were diploid and the genome size value ranged from 0.587 to 0.644 pg/2C, where Turkish apricots reached the highest value (on average 0.628 pg/2C) followed by the European group (on average 0.625 pg/2C). A Spearman-rank correlation was used and the different correlation was found for specific geographical groups of apricot cultivars. The genome size values of apricots and related botanical species P. mume, P. sibirica and P. ansu showed to be very similar values.
Networked: the new social operating system

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Using the urban design process as a catalyst for ongoing collaboration between communities and schools : Northside, Paterson, New Jersey

Inner city neighborhoods and schools are inextricably linked to each other. While this fact seems obvious and irrefutable, cooperation between urban schools and the neighborhoods they are in is often either non-existent or counterproductive. In planning for whole school reform, discussions of how the community could be improved are often ignored or deemed not to take priority. This thesis argues that the use of a communicative urban design process can be a successful community development tool. More specifically, a communicative urban design process can help forge collaborative, cooperative relationships between neighborhoods and schools. Notions of a communicative urban design process are linked with community development to analyze planning of a educational park that will be located between two schools in the Northside neighborhood of Paterson, New Jersey. By involving staff, faculty, parents, and students from the schools and residents from the Northside neighborhood in the design of the educational park, it became possible for the two groups to share their thoughts and concerns with each other. The communicative urban design process provided a space and cause for the wide set of constituents to participate. The process allowed for collaboration which was critical to the broadening of perspectives of the relationship of the school to the community and vice versa. Through participant-observation of the planning and design process, light is shed on the feasibility of using a communicative urban design process as a community development tool. Factors in the design process that enable better collaboration and cooperation between the schools and community are identified, and recommendations are made to address shortcomings in the design process. Thesis Supervisor: Phillip L. Clay, Professor, Urban Studies and Planning; Associate Provost, Massachusetts Institute of Technology Thesis Readers: John De Monchaux, Professor, Department of Urban Studies and Planning Roy Strickland, Professor, Department of Architecture
Long-Term Fluorescence Behavior of CdSe/ZnS Quantum Dots on Various Planar Chromatographic Stationary Phases

Nanoparticles, particularly quantum dots (QDs), are commonly used for the sensitive detection of various objects. A number of target molecules may be determined using QDs sensing systems. Depending on their chemical nature, physicochemical properties, and spatial arrangement, QDs can selectively interact with given molecules of interest. This can be performed in complex systems, including microorganisms or tissues. Efficient fluorescence enables low exposure of QDs and high sensitivity for detection. One disadvantage of quantum dots fluorophores is fluorescence decay. However, for given applications, this property may be an advantage, e.g., for highly sensitive detection based on correlation images in the time domain. This experimental work deals with the measurement of fluorescence decay of Lumidot TMCdSe/ZnS (530 nm) quantum dots. These nanoparticles were transferred to the surface of various planar chromatographic stationary phases. Fluorescence of formed spots was recorded at room temperature over a long period of time, namely 15.7824 × 105 min (three years). The resulting signal profiles in the time domain were analyzed using classical approach (luminescence model comparison involving different mathematical models). Moreover, fluorescence behavior on different TLC/HPTLC supports was investigated using multivariate statistics (principal component analysis, PCA). Eight planar chromatographic stationary phases were investigated, including cellulose, octadecylsilane, polyamide, silica gel and aluminium oxide in different forms (TLC and HPTLC types). The presented research revealed significantly different and non-linear long-term QDs behavior on these solids. Two different fluorescence signal trajectories were recorded, including typical signal decay after QDs application to the plates and long-term intensity increase. This was particularly visible for given planar chromatographic adsorbents, e.g., cellulose or octadecylsilane. To the author’s knowledge, these findings were not reported before using the stationary chromatographic phases, and enable the design of future experiments toward sensing of low molecular mass chemicals using, e.g., advanced quantification approaches. This may include signal processing computations based on correlation images in the time domain. Additionally, the reported preliminary data indicates that the investigated nanoparticles can be applied as efficient and selective fluorophores. This was demonstrated on micro-TLC plates where separated bioactive organic substances quenching from cyanobacteria extracts were sensitively detected. The described detection protocol can be directly applied for different planar chromatographic systems, including paper-based microfluidic devices, planar electrophoresis and/or miniaturized microfluidic chip devices.
Verification of Faulty Mechanism for Fan-Out Wafer Level Package Using Numerical Analysis

The manufactures of the ultra-thin and smaller semiconductor chip are required over the portable electric devices. The investigation of Fan-out wafer level package (FOWLP) is used widely, among the performance improvement and miniaturization technologies. In this paper, we obtained lots of crack near the passivation (PSV) and redistributed layer (RDL) region of FOWLP during the reliability evaluation of thermal cycling test (TCT). The generated stress and deformational behavior was observed through 2D finite-element analysis. The concentrated stress and deformational behavior are observed around the Solder ball edge and RDL & PSV edges. The crack was observed experimentally as well. The verification of the mechanism for crack generation and the validity of the finite-element analysis were verified by the structural analysis.
Communication and Affective Synchrony between Parents and Their Children with Autism during a Multimodal Communication Parent-Coaching Intervention

Abstract The present study aims to increase diversity in autism research and reduce the barriers to support services for children with ASD through a parent-coaching intervention delivered using telepractice. Specifically, the effects of the intervention on communication and affect for both the parent and child with autism were evaluated longitudinally across 8 time points or sessions. Using a quasi-experimental design, without a control group, findings highlight the parent-child dyadic synchrony and responsiveness in affective and communicative competence in the home via a multimodal parenting intervention. Thus, verbal, and affective communication skills are promising targets for future naturalistic intervention strategies with parents or caretakers. Moreover, findings highlight that access to interventions could be increased to diverse and under-represented populations by leveraging telepractice approaches.
Annealing Time Effect on Intermetallic Compounds of Hot Dip Galvanizing Coating

The use of zinc coatings deposited onto steel is one of the most important commercial processing techniques employed to protect steel components exposed to severe corrosive environments. Our objective is to improve the coated galvanizing steel used as irrigation tube in the agriculture field. After the best mechanical and chemical preparation, the substrates of this steel were galvanized by immersion in a molten zinc bath heated at 450°C during 15 min. the coated steel substrates underwent an annealing treatment in classical furnace heated at 350 °C for various holding times. This research work is to investigate the time effect of annealing treatment on intermetallic compounds of coatings obtained by hot dip galvanizing steel. For this purpose, several characterization means are used to evaluate the change effected by the annealing time on the phases of galvanizing coating. The kinetic growth of each layer relates the thickness to the annealing time by a simple power law. The treatment of annealing at temperature of 350 °C and holding time of 150 min can changed the structural and mechanical properties of coating phases. The gamma and delta layers presented the hard inner layers became relatively soft phases which would not lead to cracking and detachment of the coating.
Practicing Mindfulness through mHealth Applications: Emerging Adults’ Health-Enhancing and Inhibiting Experiences

Mindfulness-based interventions (MBIs) and practices (MBPs) can promote better health outcomes. Although MBIs and MBPs were developed to be delivered in-person, mobile health (mHealth) tools such as apps have made these more accessible. Mindfulness apps (MAs) are popular among emerging adults (EAs) who have the highest ownership of smartphones and who are also at risk for distress. While adverse effects have been observed with MBIs/MBPs, this has not been examined when mindfulness is practiced using apps. We interviewed EAs (n = 22) to capture their motivations for using these apps and identified health-inhibiting and enhancing experiences. Data were thematically analyzed using the constant comparative method. Motivations for app use included accessibility, convenience, and stress/health management. EAs described health-enhancing outcomes (reduced distress, improved physical symptoms, increased focus) and health-inhibiting outcomes (worsened distress, performance uncertainty, dependency development, worsened physical health). They provided suggestions for improving apps (e.g., feedback option). These findings illustrate benefits and risks that EAs may encounter when practicing mindfulness using apps, which can inform the best practices for app design.
Overcoming the pains of recovery: the management of negative recovery capital during addiction recovery pathways

Abstract Recovery is experienced in both positive and negative ways and this paper attempts to integrate the ‘pains of desistance’ approach into a recovery capital framework. Pains experienced as a result of negative recovery capital are often thought to stimulate motivations for positive behavioral change, usually through a ‘rock bottom’ type moment. Whilst recovery capital and barriers to recovery have been explored in the literature, conceptualizing these as push and pull factors, and exploring their dynamic interaction, especially at distinct phases of recovery has not. Toward filling these gaps, we use the life-narratives of 30 people in recovery to explore how the pains of recovery (push factors) alongside different forms of recovery capital (pull factors) impact upon and are managed differentially at distinct phases of the recovery journey. Findings indicate the pains of recovery rarely led to positive changes. Rather, a range of pull factors created and promoted positive changes. However, the life narratives reveal that recovery capital cannot be accrued or sustained without managing (eliminating or reducing) the pains of recovery. Overall, this work highlights the need for policy and practice to help reduce the pains of recovery, especially during early recovery to accelerate transition to more stable phases of recovery. As recovery is neither a linear pathway nor a journey without residual challenges for many people, there is much to be learned about effective ongoing management strategies in preventing a return to problematic use that utilize a push and pull framework.
Flexible and Stretchable Bioelectronics

Medical science technology has improved tremendously over the decades with the invention of robotic surgery, gene editing, immune therapy, etc. However, scientists are now recognizing the significance of ‘biological circuits’ i.e., bodily innate electrical systems for the healthy functioning of the body or for any disease conditions. Therefore, the current trend in the medical field is to understand the role of these biological circuits and exploit their advantages for therapeutic purposes. Bioelectronics, devised with these aims, work by resetting, stimulating, or blocking the electrical pathways. Bioelectronics are also used to monitor the biological cues to assess the homeostasis of the body. In a way, they bridge the gap between drug-based interventions and medical devices. With this in mind, scientists are now working towards developing flexible and stretchable miniaturized bioelectronics that can easily conform to the tissue topology, are non-toxic, elicit no immune reaction, and address the issues that drugs are unable to solve. Since the bioelectronic devices that come in contact with the body or body organs need to establish an unobstructed interface with the respective site, it is crucial that those bioelectronics are not only flexible but also stretchable for constant monitoring of the biological signals. Understanding the challenges of fabricating soft stretchable devices, we review several flexible and stretchable materials used as substrate, stretchable electrical conduits and encapsulation, design modifications for stretchability, fabrication techniques, methods of signal transmission and monitoring, and the power sources for these stretchable bioelectronics. Ultimately, these bioelectronic devices can be used for wide range of applications from skin bioelectronics and biosensing devices, to neural implants for diagnostic or therapeutic purposes.
Experimental Evaluation of Current Distribution in Three-Strand Transposed Parallel Conductors Composed of REBCO Superconducting Tapes

We investigated current distribution in three-strand transposed parallel conductors consisting of REBa2Cu3Oy (REBCO, RE = rare earth) superconducting tapes under applied AC magnetic fields. We recently derived the theoretical expression for the additional AC loss caused by the formation of three-strand transposed parallel conductors and proved its validity through experiments. However, the conditions of each strand and current distribution have not yet been discussed. Accordingly, we measured the current distribution and compared it with the calculated distribution derived using the theoretical expression. From the results, we found that the current branch ratio of the three-strand can also be predicted via the theoretical expression.
Local Object Tracking Using Infrared Array for Bed-exit Behavior Recognition

1Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan 2College of Intelligence, National Taichung University of Science and Technology, Taichung 404, Taiwan 3Fall Prevention Center and Department of Physical Medicine & Rehabilitation, Changhua Christian Hospital, Changhua 500, Taiwan 4Research and Development Dept., Gadgle Creative Tech. Ltd., Changhua 500, Taiwan