Miracle-dz/UniFAR-FTUs huggingface dataset:
A MILLIMETER WAVE ELLIPTICAL SLOT CIRCULAR PATCH MIMO ANTENNA FOR FUTURE 5G MOBILE COMMUNICATION NETWORKS

|This paper proposes a 4-port MIMO (Multiple-Input Multiple-Output) antenna operating at 28 GHz in the millimeter wave band for future 5G communications. The (cid:12)rst design in this work is a single-element circular shaped microstrip patch antenna with an elliptical slot and a defected ground structure which is intended for 28 GHz band. This antenna is compact with a size of 6 mm (cid:2) 7 mm. A complete analysis of single patch element antenna is presented with the eﬀect of slot and defected ground structure in Section 2. In Section 3, the second design, which is symmetric two-element MIMO slotted circular patch antennas, is analyzed with the dimension L (cid:2) W as 7 mm (cid:2) 6 mm. In Section 4, the (cid:12)nal fabricated design is presented, which is a 4-port MIMO antenna operating at the resonance frequency of 28 GHz along with the improved isolation between the elements due to appropriate spacing. The proposed 4 port MIMO antenna is designed on a Rogers Duroid 5880 substrate having a relative dielectric permittivity of 2.2 and thickness of 0.8 mm. The overall dimension of this designed MIMO antenna is 20 (cid:2) 20 (cid:2) 0 : 8 mm 3 . Simulated results for the S -parameters and radiation pattern are presented for all purposed designs using CST software. Measured results are also presented for the return loss using Rhode & Schwarz ZVA 40 vector network analyzer. Simulated and measured results show a good agreement. The simulation results demonstrate that the return loss at individual port is less than (cid:0) 10 dB in the frequency range of 26.867{28.975 GHz, and it provides a bandwidth of 2.1 GHz. The antenna has a high gain of 9.24 dB with unidirectional radiation pattern, and each element has a mutual coupling less than (cid:0) 20 dB.
The governance of plastic in India: towards a just transition for recycling in the unorganised sector

ABSTRACT In the case of plastic waste regulations, existing policy frameworks ignore that recycling in developing countries is largely undertaken within the unorganised sector. To add to this policies such as Single Use Plastic (SUP) bans disproportionately penalise unorganised sector recycling units and workers employed within them. This paper seeks to identify the global framework of waste minimisation and the lacunae in its implementation in the case of plastic waste in India. This will be based on analysis of national level regulations on plastic waste, court cases in the High Courts of India, and results of a primary field survey of unorganised sector plastic recycling units in Mumbai. By doing so, this paper seeks to explain the importance of recycling as a productive activity, and the need to incorporate concerns of workers and small-scale enterprise owners from the unorganised sector, in order to achieve a just transition to sustainable plastic waste management.
Micro-computed tomography for assessing the internal and external voids of bulk-fill composite restorations: A technical report

Purpose This technical report aims to describe and detail the use of micro-computed tomography for a reliable evaluation of the bulk-fill composite/tooth interface. Materials and Methods Bulk-fill composite restorations in tooth cavities were scanned using micro-computed tomography to obtain qualitatively and quantitatively valuable information. Two-dimensional information was processed using specific algorithms, and ultimately a 3-dimensional (3D) specimen reconstruction was generated. The 3D rendering allowed the visualization of voids inside bulk-fill composite materials and provided quantitative measurements. The 3D analysis software VG Studio MAX was used to perform image analysis and assess gap formation within the tooth-restoration interface. In particular, to evaluate internal adaptation, the Defect Analysis add-on module of VG Studio Max was used. Results The data, obtained with the processing software, highlighted the presence and the shape of gaps in different colours, representing the volume of porosity within a chromatic scale in which each colour quantitatively represents a well-defined volume. Conclusion Micro-computed tomography makes it possible to obtain several quantitative parameters, providing fundamental information on defect shape and complexity. However, this technique has the limit of not discriminating materials without radiopacity and with low or no filler content, such as dental adhesives, and hence, they are difficult to visualise through software reconstruction.
Transcriptome and Proteome Analyses Reveal Stage-Specific DNA Damage Response in Embryos of Sturgeon (Acipenser ruthenus)

DNA damage during early life stages may have a negative effect on embryo development, inducing mortality and malformations that have long-lasting effects during adult life. Therefore, in the current study, we analyzed the effect of DNA damage induced by genotoxicants (camptothecin (CPT) and olaparib) at different stages of embryo development. The survival, DNA fragmentation, transcriptome, and proteome of the endangered sturgeon Acipenser ruthenus were analyzed. Sturgeons are non-model fish species that can provide new insights into the DNA damage response and embryo development. The transcriptomic and proteomic patterns changed significantly after exposure to genotoxicants in a stage-dependent manner. The results of this study indicate a correlation between phenotype formation and changes in transcriptomic and proteomic profiles. CPT and olaparib downregulated oxidative phosphorylation and metabolic pathways, and upregulated pathways involved in nucleotide excision repair, base excision repair, and homologous recombination. We observed the upregulated expression of zona pellucida sperm-binding proteins in all treatment groups, as well as the upregulation of several glycolytic enzymes. The analysis of gene expression revealed several markers of DNA damage response and adaptive stress response, which could be applied in toxicological studies on fish embryos. This study is the first complex analysis of the DNA damage response in endangered sturgeons.
The use of augmented reality for patient and significant other stroke education: a feasibility study

Abstract Background: Stroke education is a key factor in minimising secondary stroke risk, yet worldwide stroke education rates are low. Technology has the potential to increase stroke education accessibility. One technology that could be beneficial is augmented reality (AR). We developed and trialled a stroke education lesson using an AR application with stroke patients and significant others. Methods: A feasibility study design was used. Following development of the AR stroke education lesson, 19 people with stroke and three significant others trialled the lesson then completed a customised mixed method questionnaire. The lesson involved narrated audio while participants interacted with a model brain via a tablet. Information about participant recruitment and retention, usage, and perceptions were collected. Results: Fifty-eight percent (n = 22) of eligible individuals consented to participate. Once recruited, 100% of participants (n = 22) were retained. Ninety percent of participants used the lesson once. Most participants used the application independently (81.82%, n = 18), had positive views about the lesson (over 80% across items including enjoyment, usefulness and perception of the application as a good learning tool) and reported improved confidence in stroke knowledge (72.73%, n = 16). Confidence in stroke knowledge post-lesson was associated with comfort using the application (p = 0.046, Fisher’s exact test) and perception of the application as a good learning tool (p = 0.009, Fisher’s exact test). Conclusions: Technology-enhanced instruction in the form of AR is feasible for educating patients and significant others about stroke. Further research following refinement of the lesson is required.
The Effect of Healing Perception on the Visitors’ Place Attachment and Their Loyalty toward a Metropolitan Park—Under the Aspect of Environmental Design

Healing perception is considered to increase visitors’ place attachment and loyalty. This research employed structural equation modeling (SEM) to examine the structural relationship between healing perception, place attachment, environmental design, and visitors’ loyalty to a place. The study investigated a metropolitan park in Gaoxiong, Taiwan, and collected 431 valid questionnaires on the site. The results showed that the environmental design affected the human perception of healing and place attachment, which substantially affected the visitors’ loyalty toward the place. The healing perception powerfully impacted loyalty (0.76), which contained an indirect effect through place attachment and enhanced the direct impact of healing perception. Moreover, the environmental design had a capable direct effect (0.62) on visitors’ loyalty through two full mediation paths: healing perception and place attachment. The study sheds light on designing a healing park that could enhance visitors’ place attachment and strongly affect their loyalty to the park.
A new clinical algorithm embedded in a contextual behavior change intervention for higher education student drug use

Illicit drug use among higher education populations is a recognized public health issue. Existing interventions only partially manage to reduce the harm drugs can cause in this population. Reasons for this include the absence of personalized behavior change components focusing on students’ needs for harmreduction practices. To address this issue, we built a clinical algorithm that rapidly assesses the needs of students and offers them immediate support through the provision of tailored harm reduction practices. This algorithm was informed by relevant behavior change theories and outputs from Information System (IS) research. In this paper, firstly, we discuss how we developed the clinical algorithm, leveraging personalized data analytics which are used in a decision rule manner. Secondly, we demonstrate how the algorithm is implemented within the intervention, namely MyUSE, through the use of examples. The artifact is currently in its final development phase and evaluation of its usability, feasibility, and effectiveness will follow.
Reduction of boundary effect during structural damage identification using wavelet transform

: The wavelet transform seems to be effective tool for signal processing of modal data in the problems of structural damage detection and identification. However, the application of wavelet transform is connected with the occurrence of boundary effect, which may cause wrong conclusion about damage localization. In the following paper the problem of boundary effect was discussed and the methods of its reduction were presented. A comparative study of different approaches of the boundary effect reduction was performed and its results were analyzed.
Kinetic Study and Thermal Decomposition Mechanisms of Superthermite–Based Nitrocellulose Nanocomposite

ABSTRACT As ferric oxide is a well-known catalyst, aluminum can act as a high energy dense material. Ferric oxide/aluminum can experience nanothermite reaction with novel synergistic characteristics. On the other hand, nitrocellulose (NC) is the most energetic polymeric matrix. This study reports on the facile development of thermite-based NC nanocomposite. Ferric oxide nanoparticles (NPs) of 5 nm size and aluminum NPs of 80 nm size were dispersed in acetone. Colloidal ferric oxide/aluminum NPs were integrated into NC matrix via anti-solvent technique. Nanothermite particles offered an increase in NC decomposition enthalpy by 38.59% using differential scanning calorimetry (DSC). The apparent activation energy of NC was reduced by 14% and 14.5%, using Friedman and OZAW models, respectively. Activation energy at different conversion extent was evaluated, and decomposition mechanisms have been suggested to be heterogeneous solid phase reaction. The developed NC nanocomposite is considered bespoke material for first-fire ignition systems; where molten solid particle and high decomposition enthalpy are highly appreciated.
From participation roles to socio‐emotional information roles: Insights from the closure of an online community

This study examines what happens when an online community (OC) platform is shut down. In particular, it builds on recent interest from information science on everyday life information seeking, providing insights into the socio‐emotional roles enacted by users following community closure. A qualitative study is undertaken on 12 months of social media comments relating to the closure of an OC platform. We identify and discuss the socio‐emotional information roles that manifest, and present a model of their relationship to different aspects of the closure. We make theoretical connections between the notion of socio‐emotional information roles and both the information behavior and practice literature, as well as research on community and participant roles. Theoretical and practical implications are discussed.
EchoWrite 2.0: A Lightweight Zero-Shot Text-Entry System Based on Acoustics

Limited by size, shape, and other factors, it is rather inconvenient to interact with new smart devices by traditional methods. Acoustic-based methods following a machine learning approach have been put forward to resolve this problem in previous works. But they possess limitations of heavy training overhead, low performance for unseen users, and intensive computation cost. Following our previous work in this area, we further overcome shortcomings of existing work and propose a lightweight and zero-shot text-entry system for unseen users based on acoustic sensing. The key novelty of this work is proposing a new model training strategy including dataset construction and augmentation methods to effectively enhance generalization ability of a simple learning model with as few training data as possible, based on our insight into the problem. We design and implement a real-time Android application system called EchoWrite 2.0 to validate our idea with extensive experiments. Results show that EchoWrite 2.0 can recognize digits, English letters, and words with an accuracy of 85.3%, 73.2%, and 96.9%, respectively, for unseen users without providing any data to the learning model. The comparison with related work in different aspects shows overall superiority of EchoWrite 2.0.
What Went Wrong with the IMMUNI Contact-Tracing App in Italy? A Cross-Sectional Survey on the Attitudes and Experiences among Healthcare University Students

The adoption of digital contact-tracing apps to limit the spread of SARS-CoV-2 has been sup-optimal, but studies that clearly identify factors associated with the app uptake are still limited. In April 2021, we administered a questionnaire to healthcare university students to investigate their attitudes towards and experiences of the IMMUNI app. A multivariable logistic regression model was built to identify app download predictors. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated. We surveyed 247 students. Most respondents (65.6%) had not downloaded IMMUNI, reporting as the main reason the perceived app uselessness (32.7%). In the multivariable analysis, being advised to use the app (aOR: 3.21, 95%CI: 1.80–5.73), greater fear of infecting others (aOR: 1.50, 95%CI: 1.01–2.23), and greater trust in the institutional response to the emergency (aOR: 1.33, 95%CI: 1.00–1.76) were positively associated with the outcome, whereas greater belief in the “lab-leak theory” of COVID-19 was a negative predictor (aOR: 0.75, 95%CI: 0.60–0.93). Major technical issues were reported by app users. Targeted strategies aimed at improving awareness of digital health applications should be devised. Furthermore, institutions should invest in the development of these technologies, to minimize technical issues and make them accessible to the entire population.
Substrate integrated waveguide slot antenna with shorting vias for broadband applications

A substrate integrated waveguide cavity backed by a I shaped slot is presented in this paper. It is a simple profile and low cost antenna designed for broadband applications. The proposed antenna is analyzed with the absence and presence of shorting vias. The cavity without shorting vias exhibits three narrow resonances. By inserting shorting vias at appropriate positions around the slot, the current distribution varies such that bandwidth is extended. Further to reduce the size of the antenna, half mode substrate integrated waveguide is designed. The prototypes of two antennas are fabricated and their S parameters are measured. The via loaded cavity backed substrate integrated waveguide has bandwidth of 21% (10.2 to 12.6 GHz) and a peak gain of 6.05 dB whereas via loaded half mode substrate integrated waveguide has bandwidth of 23% (10 to 12.6 GHz) and a peak gain of 6.25 dB.
Residual State Ownership and Firm Performance: A Case of Vietnam

Privatization has played an important role in national economic reform in Vietnam. However, unlike other transitional countries in Central and Eastern Europe, Vietnam has chosen a partial and gradual privatization where the government still holds significant ownership in most privatized firms. Whether partial privatization can enhance privatized firms’ performance or full privatization should have been implemented is a critical question that needs to be answered. This paper utilizes semiparametric regressions to study the relationship between residual state ownership and firm performance. The results indicate an inverted U relationship between state ownership and firm performance. We show that the performance of privatized firms improves with an increase in the level of state ownership until around 40%, after which the effect of state ownership on firm performance tends to decline. This demonstrates that in a transitional context, relinquishing governmental control via privatization can significantly benefit privatized firm performance. However, further reduction of state ownership may decrease the performance of privatized firms. Overall, the study contributes significantly to the growing body of evidence on the nonlinear effects of state ownership. This suggests that in the transitional context of Vietnam, due to weak corporate governance and limited protection of minority shareholders, there could be a temporary optimal position where state and private investors hold balanced ownership to simultaneously supervise operations and promote the performance of privatized firms.
The Different Techniques for Detection of Plant Leaves Diseases

As we know that Plant disease detection is an interesting field. Plants are the way to live. In our daily life we are completely dependent on plants. There by plants should be taken care. In most of the studies it is been shown that quality of agricultural products shall be reduced due to various components. The plant diseases are such as bacteria, viruses and fungi. The disease in plant leaf restricts the growth of the plant and also destroys its yield. Every time there is the need of expert to identify plant diseases but manual identification is expensive and also time consuming. So, automatic methods are necessary for detection of disease. Through this paper, we have presented a survey on the different methods of plant leaf disease detection.
Low-Profile Wideband Solar-Cell-Integrated Circularly Polarized CubeSat Antenna for the Internet of Space Things

This paper proposes a low-profile wideband circularly polarized (CP) antenna using solar cell patches as radiation elements and a sequentially rotated feeding network for CubeSat applications. To realize a wide axial ratio (AR) bandwidth with a compact size, a sequentially rotated feeding network was designed by modifying a quadrature hybrid coupler and a rat-race coupler that has a small change in phase difference even when the frequency changes. A wideband CP patch array antenna was designed by combining a C-shaped slot-coupled solar cell patch in conjunction with a novel feeding network. The overall size of the proposed CP CubeSat antenna is 100 <inline-formula> <tex-math notation="LaTeX">$\times 100\times7.2$ </tex-math></inline-formula> mm<sup>3</sup> (<inline-formula> <tex-math notation="LaTeX">$0.83\,\,\lambda _{\mathrm {o}} \times 0.83\,\,\lambda _{\mathrm {o}} \times 0.06\,\,\lambda _{\mathrm {o}}$ </tex-math></inline-formula> at 2.5 GHz). Solar cells occupy 79% of the antenna area, enabling efficient energy harvesting. The −10 dB impedance bandwidth is 1.98–3.0 GHz, which is a fractional bandwidth of approximately 41.0%. The 3-dB AR and 3-dB gain bandwidths are 1.98–3.0 GHz (41.0%) and 1.82–2.98 GHz (46.6%), respectively. The proposed CP solar patch array antenna demonstrates a constant radiation pattern within the −10 dB impedance bandwidth. The proposed CubeSat antenna is suitable for use in an Internet of Space Things (IoST) autonomous communication system.
Phylogenetic and Functional Structure of Wood Communities among Different Disturbance Regimes in a Temperate Mountain Forest

The mechanisms responsible for biodiversity formation and maintenance are central themes in biodiversity conservation. However, the relationships between community assembly, phylogeny, and functional traits remain poorly understood, especially following disturbance. In this study, we examined forest community assembly mechanisms in different disturbance regimes across spatial scales and including tree life history classes, using phylogenetic and functional trait metrics. Across disturbance regimes, phylogenetic structure tended to be over-dispersed, while functional structure tended to be clustered. The over-dispersion of phylogenetic structure also increased from small to large diameter species. Moreover, the explanation of spatial distance for the turnover of phylogenetic and functional structure was increased, while environmental distance explained less structure as disturbance intensity decreased. Our findings suggest that niche theory largely explains forest community assembly in different disturbance regimes. Furthermore, environmental filtering plays a major role in moderate to high disturbance regimes, while competitive exclusion is more important in undisturbed and slightly disturbed ecosystems.