Miracle-dz/UniFAR-FTUs huggingface dataset:
A Framework for Investigating Green Purchase Behavior with a Focus on Individually Perceived and Contextual Factors

The role of individually perceived and contextual factors on green purchase behavior (GPB) with a focus on the dimensions of consumer perceived value has been evaluated in this research. The basis of the model is a stimuli–organism–response (SOR) 1 framework, and the theory of planned behavior and the theory of consumption values have been combined. The research has been conducted on Iranian green consumers with green purchase experiences. It is an empirical study using the questionnaire survey method. Structural equation modelling (SEM) is utilized to measure the research framework. It has been revealed that individually perceived factors have more impact on GPB than contextual factors in this research. On the other hand, contextual factors do not affect the GPB of Iranian consumers. In addition, perceived social value had less effect on GPB than perceived emotional value. Therefore, the present study was likely proposed to fill the gap of previous studies, deprived of categorized factors affecting GPB focusing on internal and external approaches.
A high selectivity tri‐band BPF using π‐type structure loaded with λ/4 open stub and hybrid SIR

In this letter, a novel tri‐band bandpass filter (BPF) with high selectivity is presented. The proposed tri‐band BPF employs a symmetrical π‐type structure loaded with λ/4 open stubs and hybrid stepped impedance resonator (SIR). The hybrid SIR consists of two‐section cascaded SIR and a pair of parallel‐coupled lines. Using λ/4 frequency‐selected open stubs, the complete π‐type structure is restructured into a basic π‐type structure with three microstrip lines. The filtering responses of the second passband are controlled only by the basic π‐type structure. The filtering responses of the first and third passbands are influenced by the complete π‐type structure. By embedding coupled‐lines into the two‐section cascaded SIR, four extra transmission zeros (TZs) are obtained. For validation, a tri‐band BPF with 3‐dB fractional bandwidths of 14.3%, 9.4%, and 6.6%, respectively, operating at 1.77 GHz (GSM), 2.37 GHz (WLAN), and 3.43 GHz (WiMAX) is simulated, fabricated, and measured. The measured insertion losses are less than 1.5 dB and return losses are better than 24.5 dB within three passbands. In total, seven TZs are generated and the maximum roll‐off rate of three passbands is up to 173 dB/GHz. The good agreement between simulations and measurements verifies the proposed design.
Oxidative Stress and AKT-Associated Angiogenesis in a Zebrafish Model and Its Potential Application for Withanolides

Oxidative stress and the AKT serine/threonine kinase (AKT) signaling pathway are essential regulators in cellular migration, metastasis, and angiogenesis. More than 300 withanolides were discovered from the plant family Solanaceae, exhibiting diverse functions. Notably, the relationship between oxidative stress, AKT signaling, and angiogenesis in withanolide treatments lacks comprehensive understanding. Here, we summarize connecting evidence related to oxidative stress, AKT signaling, and angiogenesis in the zebrafish model. A convenient vertebrate model monitored the in vivo effects of developmental and tumor xenograft angiogenesis using zebrafish embryos. The oxidative stress and AKT-signaling-modulating abilities of withanolides were highlighted in cancer treatments, which indicated that further assessments of their angiogenesis-modulating potential are necessary in the future. Moreover, targeting AKT for inhibiting AKT and its AKT signaling shows the potential for anti-migration and anti-angiogenesis purposes for future application to withanolides. This particularly holds for investigating the anti-angiogenetic effects mediated by the oxidative stress and AKT signaling pathways in withanolide-based cancer therapy in the future.
A Crowdsourcing Open Contest to Design a Latino-Specific COVID-19 Campaign: Mixed Methods Analysis

Background Latino communities are among the most heavily impacted populations by the COVID-19 pandemic in the United States due to intersectional barriers to care. Crowdsourcing open contests can be an effective means of community engagement but have not been well studied in Latino populations nor in addressing the COVID-19 pandemic. Objective The aims of this study are to (1) implement and evaluate a crowdsourcing open contest to solicit a name for a COVID-19 social marketing campaign for Latino populations in Maryland and (2) conduct a thematic analysis of submitted entries to guide campaign messaging. Methods To assess the level of community engagement in this crowdsourcing open contest, we used descriptive statistics to analyze data on entries, votes, and demographic characteristics of participants. The submitted text was analyzed through inductive thematic analysis. Results We received 74 entries within a 2-week period. The top 10 entries were chosen by community judges and the winner was decided by popular vote. We received 383 votes within 1 week. The most common themes were collective efficacy, self-efficacy, and perceived benefits of COVID-19 testing. We used these themes to directly inform our social marketing intervention and found that advertisements based on these themes became the highest performing. Conclusions Crowdsourcing open contests are an effective means of community engagement and an agile tool for guiding interventions to address COVID-19, including in populations impacted by health care disparities, such as Latino communities. The thematic analysis of contest entries can be a valuable strategy to inform the development of social marketing campaign materials.
Dynamic Memory Event-Triggered Adaptive Control for a Class of Strict-Feedback Nonlinear Systems

This brief presents a dynamic memory event-triggered mechanism based adaptive control strategy for a class of strict-feedback nonlinear systems. Firstly, the dynamic memory event-triggered mechanism (DMETM) is established, rigorous proof demonstrates that the triggering intervals of the proposed DMETM are larger than that of the memoryless dynamic event-triggered mechanism. Furthermore, the adaptive control strategy is designed via the dynamic surface control, by which the “explosion of complexity” in the backstepping design process is avoided. Additionally, the proposed DMETM based adaptive dynamic surface controller can guarantee the closed loop system to be semi-globally uniformly ultimately bounded (SGUUB). Finally, the simulation results illustrate the validity of the proposed control strategy.
Prevalence of Psychological Stress among Undergraduate Medical Students in PCMC Pune: 
A Cross Sectional Study

Stress being the specific response of the body to any internal and external stimuli is unavoidable and can affect one’s life to different extent depending upon the type and extent of stress. In undergraduate level of medical profession there are various factors which can affect mental as well as physical health of the student such as sudden change in environment, academic overload, extracurricular performance, peer pressure, parent pressure etc. By identifying its symptoms, hopefully these conditions among medical students can be identified at an early stage to prevent psychological morbidity among medical students and young doctors. There is a need for the counseling services to be made available to the students in the medical college to control this morbidity hence the need of the study. 200 medical students were identified and assessed for stress using Perceived Stress Scale in which score equal or more than 28 is considered as positive for psychological stress. Results showed differences in stress level from first year to final year ranging from 0.5 % to 58% when classified into no stress to mild, moderate, sever category. In conclusion the prevalence of psychological stress among medical students was high (49.5%) in this study. Most females having higher level than males. Students of second year were having the highest incidence of stress Key words: Stress, Psychological stress, Undergraduate Medical students, Perceived stress scale.
Diversity and Functional Evolution of Terpene Synthases in Rosaceae

Terpenes are organic compounds and play important roles in plant development and stress response. Terpene synthases (TPSs) are the key enzymes for the biosynthesis of terpenes. For Rosaceae species, terpene composition represents a critical quality attribute, but limited information is available regarding the evolution and expansion occurring in the terpene synthases gene family. Here, we selected eight Rosaceae species with sequenced and annotated genomes for the identification of TPSs, including three Prunoideae, three Maloideae, and two Rosoideae species. Our data showed that the TPS gene family in the Rosaceae species displayed a diversity of family numbers and functions among different subfamilies. Lineage and species-specific expansion of the TPSs accompanied by frequent domain loss was widely observed within different TPS clades, which might have contributed to speciation or environmental adaptation in Rosaceae. In contrast to Maloideae and Rosoideae species, Prunoideae species owned less TPSs, with the evolution of Prunoideae species, TPSs were expanded in modern peach. Both tandem and segmental duplication significantly contributed to TPSs expansion. Ka/Ks calculations revealed that TPSs genes mainly evolved under purifying selection except for several pairs, where the divergent time indicated TPS-e clade was diverged relatively anciently. Gene function classification of TPSs further demonstrated the function diversity among clades and species. Moreover, based on already published RNA-Seq data from NCBI, the expression of most TPSs in Malus domestica, Prunus persica, and Fragaria vesca displayed tissue specificity and distinct expression patterns either in tissues or expression abundance between species and TPS clades. Certain putative TPS-like proteins lacking both domains were detected to be highly expressed, indicating the underlying functional or regulatory potentials. The result provided insight into the TPS family evolution and genetic information that would help to improve Rosaceae species quality.
Implementation of an Innovative ConvertingTopology for AC Drives

In renewable energy applications, the multiple-input bidirectional dc-dc converter can be used to combine different types of energy sources. Generally, the power generation with renewable energy sources is a discontinuous process and in most of the cases it depends on the environment. Feeding in the produced energy into a distribution system influences the overall energy flow. Therefore, it is a challenge to control and keep the energy stabilised. To improve the energy quality, most of the renewable energy systems include an energy storage element charged by the bidirectional DC-DC converter. The paper proposes the bidirectional DC-DC converter which employs the two bridge configuration resonant class-E converters on the both sides of the isolating transformer. The development and testing of a bidirectional fly-back dc–dc converter for hybrid electric vehicle is described in this paper. Simple hysteresis voltage control is used for dc-link voltage regulation. The simulation results are presented, and modeling the circuit by using MATLAB/SIMULINK Platform.
Tourismus 2020: Globale Herausforderungen auf lokaler Ebene – Implikationen für die Wettbewerbsfähigkeit touristischer Destinationen

Zusammenfassung Das globale Tourismussystem wird von dynamischen Rahmenbedingungen determiniert und steht großen Herausforderungen gegenüber. Eine explorative Delphi-Befragung identifiziert die wichtigsten Herausforderungen bis zum Jahre 2020, liefert Einblicke in deren Natur und erzeugt Bewusstsein für Ursachen und mögliche Auswirkungen. Fünf Meta-Ebenen verdeutlichen die komplexen Zusammenhänge und Abhängigkeiten, die das globale Tourismus-System voraussichtlich prägen werden. Die Meta-Herausforderungen eignen sich zwar als strategische Orientierungspunkte für Destinationsmanager, jedoch müssen Lösungen situationsspezifisch entwickelt werden. Es wird deutlich, dass globalen Herausforderungen insbesondere auf Destinationsebene begegnet werden muss, um die Wettbewerbsposition zu stärken. Abstract Global tourism is a complex system within a dynamic framework that is exposed to rapid and challenging developments. An exploratory Delphi survey aimed to identify the most prominent challenges for global tourism through 2020. The results provide insights into the nature of these challenges and raise awareness of their causes and potential effects. The five proposed meta-challenges demonstrate the complexity of the interrelations and interdependencies affecting the future of the global tourism system. The meta-challenges can also be regarded as constituting a strategic road map for destination managers, but solutions must be developed situational and specifically. It appears that global challenges must be addressed in particular on the destination level in order to strengthen its competitive position.
Modular devices for sensor-based assessment and rehabilitation of stroke-impaired upper limb

Cerebrovascular disease (stroke) is one of the leading causes of adult disability in developed nations, typically resulting in impairment in one of the upper extremities. There is a clinical need for both sensitive, repeatable motor assessment techniques and increased access to intensive physical therapy in the face of resource limitations. The Human Robotics Group has developed a System for Independent Task-oriented Assessment and Rehabilitation (SITAR) for upper limb rehabilitation which integrates low-cost instrumented objects that mimic the motions and manipulations used in everyday tasks. Analysis of force, trajectory, and acceleration data has resulted in new metrics that may correlate with, and ultimately enhance, standard clinical ordinal scales of assessment. This thesis presents preliminary validation and testing of instrumented key and box objects for fine manipulation tasks. The data from these experiments were used to develop metrics that can be investigated in future clinical trials with the SITAR. An instrumented stylus was developed to enhance SITAR’s training functionality. The stylus can measure grip force, writing force, and kinematic information. The stylus is comparable to a typical marker with diameter of approximately 4 cm and is comfortable to hold. A simple exoskeleton mechanism to aid in hand opening is presented. The device is located on the dorsal side of the hand, causes minimal obstruction, and act on the proximal and medial phalanges to achieve partial hand opening and reduce complexity. The mechanism was manufactured for a single phalange for initial testing. Forthcoming assessment studies within a consortium of clinical partners will determine the feasibility of the SITAR system and identify key metrics for assessment. The devices and assessment metrics presented in this thesis will serve as building blocks for future SITAR assessment and rehabilitation studies.
IMPACTO DE LA FORMACION Y ASISTENCIA CROSS-CULTURAL CON RELACION A FRACASOS EXTERNOS Impact of the training and cross-cultural assistance in relation to external failures

The purpose of this study is to establish connections between the impact of cross-cultural training and assistance in relation to foreign failures. Thus, a review of different theoretical and empirical research on the above topics and the results obtained in 19 of 44 cases where there was cross-cultural training and assistance allowed to express a body of considerations that approach to the theory of agency reaffirmed the importance of the respective practice to reduce external failures in the expatriate staff, while warns its effectiveness according to various constraints binding with the matter.
Osmotic Cloud-Edge Intelligence for IoT-Based Cyber-Physical Systems

Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Things devices. Edge Intelligence is increasingly adopted to execute inference on data at the border of local networks, exploiting models trained in the Cloud. However, the training tasks on Edge nodes are not supported yet with flexible dynamic migration between Edge and Cloud. This paper proposes a Cloud-Edge AI microservice architecture, based on Osmotic Computing principles. Notable features include: (i) containerized architecture enabling training and inference on the Edge, Cloud, or both, exploiting computational resources opportunistically to reach the best prediction accuracy; and (ii) microservice encapsulation of each architectural module, allowing a direct mapping with Commercial-Off-The-Shelf (COTS) components. Grounding on the proposed architecture: (i) a prototype has been realized with commodity hardware leveraging open-source software technologies; and (ii) it has been then used in a small-scale intelligent manufacturing case study, carrying out experiments. The obtained results validate the feasibility and key benefits of the approach.
POISON UNDERFOOT Hazardous Chemicals in PVC Flooring and Hazardous Chemicals in Carpets

This study investigated the composition of PVC flooring with respect to certain chemical additives, namely phthalate plasticisers and organotins. The study included analysis of five PVC flooring samples that were available for retail in the UK. Samples were found to contain high levels of several organotin compounds, in particular DBT (37.7 to 569 ppm) and TBT (128 to 17,940 ppb). Two phthalates were also detected at high concentrations. Diisononyl phthalate (DINP) was found in all samples at levels ranging from 4.7 to 15.8% by weight and butyl benzyl phthalate (BBP) was present in three samples at levels from 1.6 to 5.0%. These finding are of concern in relation to the presence of hazardous substances in consumer products, their potential release to the environment and, in turn, their potential impacts on the environment and human health. Phthalates and organotins are hazardous chemicals. Organotins cause toxicity to the immune system in laboratory animals whilst phthalates exhibit a wide range of toxicity’s. The use of PVC flooring and other household furnishings has generated concern recently after it was hypothesised that the release to air and particulates of the phthalate plasticiser di(2-ethylhexyl) phthalate (DEHP), present in PVC interior surfaces, may increase the risk of childhood asthma. Another study linked exposure to PVC floors in the home with increases in bronchial obstruction in children, possibly caused by plasticisers. In respect of the known and suspected toxicity’s of phthalates and organotins and their possible impacts on human health, the results of this study are of great concern.
Design, Synthesis and 5-HT1A Binding Affinity of N-(3-(4-(2-Methoxyphenyl)piperazin-1-yl)propyl)tricyclo[3.3.1.13,7]decan-1-amine and N-(3-(4-(2-Methoxyphenyl)piperazin-1-yl)propyl)-3,5-dimethyl-tricylo[3.3.1.13,7]decan-1-amine

Based on previously highlighted structural features, the development of highly selective 5-HT1A receptor inhibitors is closely linked to the incorporation of a 4-alkyl-1-arylpiperazine scaffold on them. In this paper, we present the synthesis of two new compounds bearing the 2-MeO-Ph-piperazine moiety linked via a three carbon atom linker to the amine group of 1-adamantanamine and memantine, respectively. Both were tested for their binding affinity against 5-HT1A receptor. N-(3-(4-(2-methoxyphenyl)piperazin-1-yl)propyl)tricyclo[3.3. 1.13,7]decan-1-amine fumarate (8) and N-(3-(4-(2-methoxyphenyl)piperazin-1-yl)propyl)-3,5-dimethyl-tricylo[3.3. 1.13,7]decan-1-amine fumarate (10) proved to be highly selective ligands towards 5-HT1A receptor with a binding constant of 1.2 nM and 21.3 nM, respectively, while 5-carboxamidotriptamine (5-CT) (2) was used as an internal standard for this assay with a measured Ki = 0.5 nM.
Impact of Charging PHEV at Different Penetration Levels on Power System Network

Plug-in Hybrid-Electric Vehicle (PHEV) offers numerous advantages compared to the conventional internal-combustion engine (ICE) vehicle and has gained immense popularity in recent years. This paper proposed a technique that comprehensively presents the impact of charging PHEV on power system networks considering huge numbers of PHEV samples with its travelling data pattern. Vehicles Charging Load Profile (VCLP) is developed and implemented in IEEE 30-bus test system that represents a portion of American Electric Power System (Midwestern US). Normalization technique is used to correspond to real time loads at all buses. Results from the study indicated that charging PHEV using opportunity charging will have significant impacts on power system networks, especially when bigger battery capacity (kWh) is used as well as for higher penetration level.
Recognizing postures in vietnamese sign language with MEMS accelerometers

In this paper, we discuss the application of microelectron ic mechanical system (MEMS) accelerometers for recognizing postures in Vietnamese Sign Language (VSL). We develop a similar device to the Accele Glove (6) for the recognition of VSL. In addition to the five sensors as in the Accele Glove, we placed one more sensor on the back of the hand to improve the recognition process. In addition, we use a completely different method for the classification process leading to very promising results. This paper concentrates on signing with postures, in which the user spells each word with finger signs corresponding to the letters of the alphabet. Therefore, we focus on the recognition of postures that represent the 23 Vietnamese-based letters together with two postures for "space" and "punctuation. " The data obtained from the sensing device is transformed to relative angles between fingers and the palm. Each character is recognized by a fuzzy rule-based classification system, which allows the concept of vagueness in recognition. In addition, a set of Vietnamese spelling rules has been applied to improve the classification results. The recognition rate is high even when the postures are not performed perfectly, e.g., the finger is not bended completely or the palm is not straight. © 2007 IEEE. Author Keywords: Human computer interaction; Microelectronic mechanical system (MEMS) sensors; Sign language recognition; Vietnamese sign language (VSL) Index Keywords: Classification (of information); Fuzzy rules; Gesture recognition; Human computer interaction; MEMS; Accele Glove; Sign language recognition; Vietnamese sign language (VSL); Accelerometers
Structural relationship between food quality, usefulness, ease of use, convenience, brand trust and willingness to pay: the case of Starbucks

PurposeThis study aims to explore the structural relationship among food quality, usefulness, ease of use, convenience, brand trust and willingness to pay. The technology acceptance model was used as the theoretical foundation of this work.Design/methodology/approachAmazon Mechanical Turk was used to recruit survey participants, and 436 valid observations were ultimately used for the analysis. In the data analysis, the structural relationships between variables were explored through structural equation modeling.FindingsThe results of hypothesis testing show that ease of use positively affects the usefulness of the Starbucks mobile application. Usefulness also exerts positive impacts on both brand trust and convenience. Moreover, brand trust is positively associated with food quality. Finally, willingness to pay is positively influenced by both convenience and brand trust.Originality/valueThis study contributes to the literature by not only validating the technology acceptance model using the Starbucks mobile application but also proposing food quality-related attributes in the domain of the café business.