Miracle-dz/UniFAR-FTUs huggingface dataset:
Bariatric Surgery

# Springer Nature Singapore Pte Ltd. 2017 T. Wade (ed.), Encyclopedia of Feeding and Eating Disorder DOI 10.1007/978-981-287-104-6 and motivated patients with a BMI>40 kg/m or for individuals with a BMI of 35–40 kg/m and significant obesity-related comorbidities like type 2 diabetes mellitus, obstructive sleep apnea, or hypertension. Patient selection involves a multidisciplinary screening process including medical, nutritional, and psychological evaluations. Many patients are also required to document completion of a physician-supervised diet and lifestyle modification program. Bariatric surgery includes a range of different procedures. All procedures restrict gastric capacity to reduce food intake (e.g., gastric sleeve, adjustable gastric banding). Some procedures also alter the digestive tract to cause malabsorption (e.g., Rouxen-Y gastric bypass). In the general adult population, outcomes vary across patients and procedures. Patients who undergo bariatric surgery with an experienced surgeon in a high-volume hospital have lower mortality and fewer complications. Most individuals experience maximum weight loss within the first year post-surgery. In the longer term, many regain some of the weight that they initially lost. Post-surgery weight and maintenance are best when accompanied by healthy lifestyle changes and lifelong follow-up.
Package ‘dipm’

May 18, 2022 Title Depth Importance in Precision Medicine (DIPM) Method Version 1.7 Date 2022-5-18 Maintainer Cai Li <cli9@ncsu.edu> Description An implementation of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group. Depends R (>= 3.0.0) Imports stats, utils, survival, partykit (>= 1.2-6), ggplot2, grid NeedsCompilation yes License GPL (>= 2) Encoding UTF-8 LazyLoad yes Repository CRAN RoxygenNote 7.1. 1 Author Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut] Date/Publication 2022-05-18 21:10:02 UTC
Inertial and Damping Characteristics of DC Distributed Power Systems Based on Frequency Droop Control

With high penetration of renewable energy, DC distributed power systems (DDPSs) need to improve the inertia response and damping capacity of the power grid. The effects of main circuit parameters and control factors on the inertia, damping and synchronization of the DDPS were studied in this paper. Firstly, the dynamic model of DDPSs based on frequency droop control is established in the DC voltage control (DVC) timescale. Then, a static synchronous generator (SSG) model is used to analyze the parameters that affect the inertial level, damping effect and synchronization capability of the DDPS. The analysis results show that an optimal design of the frequency droop coefficient and proportional integral (PI) parameters of the DC bus voltage control loop can equivalently change the characteristics of inertia and damping when the frequency droop control strategy is applied to the DC/DC converter and the DC bus voltage control strategy is used in the grid-tied inverter. Simulation results verify the correctness of the conclusions. This paper helps to design an effective control strategy for DDPSs to enhance the inertial level and damping effect of the power grid and to improve the stable operation capability of renewable energy systems.
or Memory Development In Vivo T Cell Clonal Expansion But Not for Effector Sustained Response Initiation Is Required for

The factors determining whether an immune response is productive are poorly understood. To understand the circumstances affecting the early stage of the immune response which determine whether memory is generated, the CD8 T cell response was mapped in detail following immunization with live or heat-killed bacteria. Our results demonstrate that even in response to a weak immunogen, functional memory cell development is linked to effector cell induction in lymphoid and nonlymphoid tissues. The main defect in the response to killed microorganisms is inefﬁcient induction of clonal expansion. This failure is due to a contracted, but costimulation-dependent activation phase in the lymphoid tissues, resulting in rapid but abortive growth. Conversely, the response to live bacteria is characterized by protracted early T cell sequestration in lymphoid tissues. Thus, memory development requires effector induction, while optimal clonal expansion is regulated by the duration of response initiation. The Journal of Immunology, 2003, 171: 2832–2839.
COMPACT QMSIW BASED ANTENNAS FOR WLAN/WBAN APPLICATIONS

In this paper, two compact planar substrate integrated waveguide (SIW) cavity-backed antennas are proposed for wireless local area network (WLAN) at 5.5 GHz and wireless body area network (WBAN) at 5.8 GHz. The miniaturization is achieved with the concept of quarter-modetopology, and the size of the cavity is reduced up to one-fourth of the circular SIW cavity. A L-shaped slot is etched on the top plane for miniaturization, and antenna-1 is realized which resonates at 5.5 GHz. A metal strip has been added in the middle section of the slot, and antenna-2 is realized, which resonates at 5.8 GHz. Both proposed antennas are tested in free space, while the performance of antenna-2 is investigated for on-body condition. In free space, the measured impedance bandwidths of the antenna are 160 MHz and 210 MHz at 5.5 GHz and 5.8 GHz, respectively. The radiation efficiency of the antenna is 89.4% in free space and 57% on phantom at 5.8 GHz. Both measured and simulated results are observed, and they are in a good agreement.
Influence of growing up in the city or near an airport on the physiological stress experienced by free-living nestlings of a songbird

Urbanization constitutes one of the major transformations of natural habitats, creating new areas characterized by multiple potential wildlife stressors. Birds that live in highly anthropized zones are confronted with physiological and behavioural challenges caused by these stressors. Here, we investigated if several health parameters differed between three subpopulations of tree sparrow nestlings subjected to different levels of anthropogenic pollution, and particularly noise pollution: a quiet rural area, a noisy rural area adjacent to an airport and a heavily urbanized area. We compared body condition, oxidative stress markers and baseline corticosterone levels, expecting urban nestlings to be in overall worse condition as compared to rural (rural and rural airport) birds. In addition, we expected nestlings exposed to aircraft noise to show intermediate stress levels. We found that rural-airport nestlings had the highest levels of antioxidant capacity of plasma and did not differ from rural counterparts in the rest of the parameters. By contrast, urban nestlings were in slightly worse body condition and had lower antioxidant capacity than rural and rural-airport individuals. Our results suggest that aircraft noise does not constitute a significant stressor for nestlings. In contrast, urban conditions constitute a more challenging situation, negatively impacting different physiological systems. Although nestlings seem able to buffer these challenges in the short-term, further research should explore the long-term potential consequences of early exposure to these conditions.
Process of forming tourists’ pro-social tourism behavior intentions that affect willingness to pay for safety tourism during the COVID-19 pandemic: a comparative analysis of South Korea and China

ABSTRACT During the COVID-19 pandemic, South Korea implemented relatively flexible quarantine measures such as recommending social distancing. In contrast, China strictly controlled the pandemic, enforcing a ban on going out. This study examined the process of forming people’s pro-social tourism behavioral intention in both countries considering the differing disciplinary techniques in response to COVID-19. We employed a framework combining the Norm Activation Model and the Theory of Planned Behavior. This study contributes to creating a safe tourism environment, proposals for revitalizing tourism activities, and measures to ensure that tourism services are in line with public health.
Design of RGB LED colour-mixing optical system based on double-layer random microlens array

The high quality mixed white light is widely used in some fields of illumination of machine vision and optical projection. Optical design can improve white light production using RGB LEDs mixture method. In this paper, a kind of optical design method based on double-layer random microlens array is proposed for better white lighting. The design effect is verified by some comparisons with the double-layer non-random microlens array system. Experimental results show that the normalized standard deviation of white point shift is decreased from 0.05 to 0.01, the average colour difference is decreased from 44 to 2.5, and the illumination uniformity is increased from 0.66 to 0.82. The proposed design method can eliminate the incomplete overlap of rays and colour shadow effectively, and the proposed optical system design method can solve the problems of white point shift, colour difference, uniformity in mixed white light illumination.
Fuel Economy and EMS for a Series Hybrid Vehicle Based on Supercapacitor Storage

The large-scale spread of hybrid electric vehicles (HEVs) in the automotive industry is dominated today by continuous variable transmission parallel powertrain as far as medium size car are concerned. As a matter of fact, the tendency in this sector is to design parallel architectures in that they have provided until now a higher overall powertrain efficiency. However, technological improvements in many electric components and their increased efficiency can reshape this vision and give new outlines on HEV structure design. This paper aims to show the potentials of the series architecture, thanks to the latest electrical improvements especially in storage systems and power electronics. In particular, simulation models and fuel consumption data over different road missions are presented for the series architecture proposed in this study. In addition, a comparison between these results and data available in the scientific literature for state-of-the-art HEVs is reported.
Study of Microclimate and Sapling Citrus Plant Transpiration in Tunnel Greenhouse Under Mediterranean Conditions

Abstract In Mediterranean basin, citrus culture is expanding rapidly with a growing demand for high-quality saplings. Protected cultivation with fine microclimate conditions control is the best process of citrus saplings growing with the required quality. In this context, the developed microclimate of a tunnel citrus saplings greenhouse and its effects on plant activity parameters, such as leaf temperature and transpiration, were investigated. The findings show that the temperatures of air and plant leaves inside the greenhouse are highly variable between 6 °C and 33 °C and from 8 °C to 30 °C, respectively. Results also show that greenhouse air humidity is very high – more than 80%. The analysis of plant transpiration based on greenhouse microclimate conditions and leaf temperature reveals that (i) plant transpiration varies throughout the day (between 1.9 and 65.7 mg m−2·s−1); (ii) leaf temperature simulation can be used as an indirect indicator of plant water stress; and (iii) the simulated temperature difference between the leaves and the internal air of the greenhouse can be used to define the minimum threshold air temperature for proper plant development under the greenhouse conditions.
Classification, Denoising, and Deinterleaving of Pulse Streams With Recurrent Neural Networks

Pulse streams of many emitters have flexible features and complicated patterns. They can hardly be identified or further processed from a statistical perspective. In this paper, we introduce recurrent neural networks (RNNs) to mine and exploit long-term temporal patterns in streams and solve problems of sequential pattern classification, denoising, and deinterleaving of pulse streams. RNNs mine temporal patterns from previously collected streams of certain classes via supervised learning. The learned patterns are stored in the trained RNNs, which can then be used to recognize patterns-of-interest in testing streams and categorize them to different classes, and also predict features of upcoming pulses based on features of preceding ones. As predicted features contain sufficient information for distinguishing between pulses-of-interest and noises or interfering pulses, they are then used to solve problems of denoising and deinterleaving of noise-contaminated and aliasing streams. Detailed introductions of the methods, together with explanative simulation results, are presented to describe the procedures and behaviors of the RNNs in solving the aimed problems. Statistical results are provided to show satisfying performances of the proposed methods.
Nr4a1 regulates inhibitory circuit structure and function in the mouse brain

Central neurons express unique repertoires of secreted and transmembrane proteins that define their synaptic connectivity. However, how these molecular programs are regulated remains poorly understood. Our study shows that, in inhibitory GABAergic interneurons in the mouse forebrain, transcription of synaptic organizer molecules is controlled by Nr4a1, a nuclear receptor whose expression is transiently induced by sensory experience and required for normal learning. Nr4a1 exserts opposite effects on local axonal wiring of Parvalbumin- and Somatostatin-positive interneurons that innervate different subcellular domains of their postsynaptic partners. Loss of Nr4a1 activity in these interneurons leads to cell-type-specific transcriptional switches in multiple gene families, including those involved in surface adhesion and repulsion. Our findings reveal a mechanism by which inducible transcription factors dynamically alter the combinatorial synaptic organizing codes for structural plasticity.
Structure and dynamics in the Coma cluster.

We examine the structure and dynamics of the galaxies in the Coma cluster using a catalog of 552 redshifts including 243 new measurements. The velocity distribution is shown to be non-Gaussian due to structure associated with the group of galaxies around NGC4839, 40 arcmin SW of the cluster core. We apply a mixture-modelling algorithm to the galaxy sample and obtain a robust partition into two subclusters which we use to examine the system's dynamics. We find that the late-type galaxies are freely-falling into a largely virialised cluster core dominated by early types. We obtain a virial mass for the main cluster in close agreement with the estimates derived from recent X-ray data. The mass of the NGC4839 group is about 5-10% the mass of the main cluster. Assuming the main cluster and the NGC4839 group follow a linear two-body orbit, the favored solution has the two clusters lying at 74 degrees to the line of sight at a true separation of 0.8 Mpc and moving together at 1700 km/s. The cluster core shows evidence of an ongoing merger between two subclusters centered in projection on the dominant galaxies NGC4874 and NGC4889 but offset in velocity by 300 km/s and 1100 km/s respectively. Combining these results with X-ray and radio observations, and an interpretation of the presence or lack of an extended halo around the dominant galaxies, we develop a merger history for the Coma cluster.
BCTT_A_365295 153..161

Background: There is wide global variance in survival from breast cancer, both in developed and developing country. However, the effect of estrogen receptor status has not been widely evaluated in Ethiopia where the incidence of breast cancer is rapidly increasing. Hence, the current study aimed to determine the effect of estrogen receptor status on the overall survival of breast cancer patients who were treated at Black Lion Specialized Hospital, Ethiopia. Methods: In this institution-based retrospective cohort study a total of 368 study participants were included with a one-to-one ratio of estrogen receptor negative to estrogen receptor positive. The main outcome of interest for this study was death due to breast cancer. The authors compared the women with estrogen receptor-positive and estrogen receptor-negative breast cancer for overall survival rate using log rank test. The incidence density rate of mortality was calculated for each exposed and non-exposed variable. The effect of estrogen receptor status on breast cancer mortality was estimated using the Cox proportional hazards model. Results: The incidence density rate of mortality among breast cancer patients for estrogen receptor positive were found to be 5.48 (95% CI=3.94–7.64) per 1,000 person years observation; while for estrogen negative receptor status the mortality rate was found to be 10.47 (95% CI=8.19–13.37) per 1,000 person years observation. In the Cox regression analysis after ful adjustments for confounder variables, the mortality event risk was 32% higher among estrogen receptor negative (HR=1.32; 95% CI=1.08–2.91) as compared to estrogen receptor positive breast cancer patients. Conclusion: We have found that the incidence density rate of mortality among breast cancer patients was significantly higher in the estrogen receptor negative groups. Therefore, clinicians should give careful attention to the impact of estrogen receptor negative status on the overall outcome of clients.
Research on the Effects of Youth Personalities on Impulse Purchasing Intention

Youth are the main group of social media users, but there is limited literature on the influencing factors of impulse consumption tendency that focus on youth. This research mainly studies the influence of teenagers' personality traits on impulse buying. We attempt to the mediating effect of upward social comparison and the moderating effect of emotion. We design a questionnaire with measures of personality, upward social and emotion in the recent one month. We expect that the positive/negative emotion would moderate the direct influence of personality traits on impulse consumption and the indirect effect of upward social comparison on impulse consumption. The study not only contributes to the youth purchase behaviors but also links the connections among the personalities, emotions, and purchase intention.
THE VOLUNTARINESS OF DISPUTANTS IN CONSTRUCTION MEDIATION

Mediation has been promoted to resolve construction disputes due to much-heralded time and cost advantages. Formal introduction was affected in early 20’s after several successful pro bono mediation pilots. In Hong Kong, immense promotional efforts have been directed to make mediation the mainstream mechanism for alternative dispute resolution. Despite promotional efforts, a disheartening decline in use of mediation was noted after an initial surge. For wider adoption, there has been an ongoing debate on before disputing parties resorting other forms of dispute resolution, whether courts should compel them to attempt mediation. This study examines pillars of successful mediation and seeks to reveal the root causes of Hong Kong's sluggish uptake of construction. Review of literature informed key mediation attributes and manifestations of voluntariness in construction dispute mediation. Scale rating by construction professionals was employed to establish mediation attribute importance ranking as well as representativeness of manifestation of voluntary participation. "The exchange of critical information is effective" and "The disputant considers the mediator trustworthy" were ranked as the two most important mediation attributes, suggesting the importance of having a conducive environment for genuine communication. It is therefore proposed that voluntary participation is a necessary condition to create a collegial atmosphere. “Working cooperatively with the mediator” and “Preparing settlement options before attending the mediation” were the top two ranked manifestations of voluntary participation. Most research on mediation mainly focus on the advantages of mediation. Findings of this study raise the caveat when disputants are asked to attempt mediation that erodes voluntary participation.
Artificial Intelligence: Threat or ‘colleague’? Exploring managers’ perceptions of AI in organisations

COVID-19 has brought organizations to reinvent their businesses due to the greater need: employees and customers safety. This paper explores managers’ perceptions of the adoption of AI in the workplace. It considers how they construct new technology adoption and the potential it has to be integrated into work practices. This research in progress paper contributes to the information systems literature by taking a qualitative approach to better understand managers’ perspectives of AI and the contextual factors that influence their decision to adopt. Semi-structured interviews were used to study managers’ perceptions and experiences through which AI might have been considered supportive or a job threat. Overall, pre-liminary findings showed that managers have dealt with technologies that have helped them to perform their managerial duties. However, most of them have displayed doubts related to trust and interpersonal complexity. Interviews unanimously stated that AI cannot (completely) replace managers, but it is of interest how they also highlighted the uncertainty of AI and its future. Future research will further explore the complexities of AI adoption using Cultural-Historical Activity Theory as a framework to understand the transformation of organisational activities through socio-technological practices.
Service-based manufacturing systems: modelling and control

In service-based manufacturing systems, functionalities are independently developed as services and a central engine orchestrates their integration. As industrial processes tend to be very large, and performance and productivity are expected to be maximised, there is a constant interest in providing (in-advance) quality guarantees for services interactions, which contrasts with the usual non-automated workflow design. This paper provides an alternative to enhance service orchestration capabilities using supervisory control techniques. Initially, each component (atomic and composite activities) belonging to an orchestration language is modelled as a state-machine. Then, activity models are properly combined and composed, reproducing orchestrated workflows. Finally, supervisory control is used to calculate an optimal version of the orchestrator. Practical implications of handling large state-spaces are discussed and examples are provided.