Miracle-dz/UniFAR-FTUs huggingface dataset:
Transformative value positioning for service brands: key principles and challenges

PurposeThe aim of this paper is to integrate insights from service, branding and communication research to present key principles of a successful transformative value positioning for service brands.Design/methodology/approachThis paper uses a conceptual approach that is rooted in the service, branding and communication literature.FindingsThe contribution of this paper is threefold. First, this paper explains why positioning a service brand is different from positioning a product brand and why this is especially challenging in case of transformative value. Second, an organizing framework is used to theorize that a successful transformative value positioning is based on the organizational DNA; is consistently implemented in actions, communications, employee behavior, and servicescapes; and inspires customer engagement. Based on this framework, this paper formulates key principles of a successful transformative value positioning for service brands. Third, this paper provides a research agenda to guide and stimulate future research.Practical implicationsThe key principles provide guidelines for managers striving for a transformative value positioning. Not adhering to these guidelines could have severe implications for service brands in terms of washing perceptions ultimately deteriorating the brand image.Originality/valueThis paper combines insights from service, branding and communication research to provide a comprehensive and balanced perspective on a successful transformative value positioning for service brands.
REVISED STRATIGRAPHIC RELATIONSHIPS WITHIN THE LOWER FORT UNION FORMATION (TULLOCK MEMBER, GARFIELD COUNTY, MONTANA, U.S.A.) PROVIDE A NEW FRAMEWORK FOR EXAMINING POST K–PG MAMMALIAN RECOVERY DYNAMICS

Abstract: The Hell Creek region of northeastern Montana is an excellent study system to explore the rise to dominance of mammalian faunas after the Cretaceous–Paleogene (K–Pg) mass extinction. The Tullock Member of the Fort Union Formation exposed in that region was deposited during the first 1.2 Ma after the Chicxulub bolide impact. Some aspects of post-K–Pg mammalian succession remain obscure, however, due to a lack of finer stratigraphic resolution between vertebrate fossil localities. Here, we present a new stratigraphic model for the lower and middle Tullock and identify a stratigraphic succession of five mammal-bearing sedimentary units that span the first ∼ 900 ka of the Paleocene. Most notably, we find that middle Tullock fossil localities, which were previously thought to be deposited by a single, large fluvial channel complex, are derived from two temporally and lithologically distinct sedimentary units: the Biscuit Springs unit (BS) and the Garbani channel (GC). The top of the GC is stratigraphically above the top of the BS, but in some places cuts through the entirety of the BS, a relationship that previously complicated interpretations of their relative age. This cross-cutting relationship reveals that the BS is older than the GC. Thus, the BS local fauna represents a potential intermediate between the older local faunas from the post-K–Pg ‘disaster’ interval and the younger, more taxonomically/ecologically diverse GC local fauna. This new stratigraphic framework sets the stage for future studies focused on the pattern and timing of biotic recovery in the aftermath of the K–Pg mass extinction.
An Analysis of the Innovation Mechanism to Leisure Agriculture Experience from the Perspective of Artificial Intelligence

With the continuous development of human society and the improvement of national economy, remarkable achievements have been made in scientific and technological, R & D and innovation, especially in the research of artificial intelligence (AI) technology. It has been applied not only in all walks of life in China, but also in agricultural production and leisure agriculture. Under the background of Promoting Rural Revitalization by informatization, it is an inevitable direction to realize smart countryside and promote the development of leisure agriculture. Using artificial intelligence technology to realize the comprehensive and visual operation of leisure agriculture experience is a very good choice. This paper analyzes the leisure agriculture experience from the perspective of artificial intelligence technology. Results find that such incomplete infrastructure and less experience products, serious homogenization and lack of innovation in products, lack of professional talents and weak service awareness were met. Further, those items of improve the infrastructure, increase the innovative products of farmhouse, strengthen the training of farmhouse management personnel were suggested to managers.
ANGGARAN BERBASIS KINERJA, SUMBER DAYA MANUSIA, DAN KUALITAS ANGGARAN SKPD (Suatu Pengujian Struktural)

T he aims of this study are to examine and analyze the effect of implementation of performance based budgeting, and quality of human resources to regional work unit’s (SKPD) budget qualities. Goal setting theory and agency theory are used to explain the phenomenon of budget qualities . The number of respondents in this study were 94 respondents that selected using purposive sampling method, the criteria that SKPD which has been tested for compliance by the Ombudsman in 2015 related to quality of service . This research uses analytical techniques Partial Least Square (smartPLS) 3.0. T he results of quantitative analysis in this study showed that implementation of performance based budgeting, and quality of human resources had influence on SKPD’s budget qualities. The implications of this study can be useful for SKPDs on local governments to implement the principles of good governance and performance-based budgeting in the budget process to be able to provide better services to the public . Keywords: Budgeting, Budget Qualities, Performance Based Budgeting, Quality of Human Resources.
The Helicopter Transports of Patients Critically ill with COVID-19

Objective The aim of our study was to describe specialist nurses’ experiences with the helicopter transport of patients critically ill with COVID-19. Method Our study followed a descriptive qualitative design anchored in the naturalistic paradigm and was based on qualitative content analysis. The study followed the consolidated criteria for reporting qualitative research. Results Six semi-structured interviews were conducted with specialist nurses who have cared for patients critically ill with COVID-19 during helicopter transport. The analysis of the interviews resulted in three themes—designing new routines before transport, working under new conditions and post-transport and reflections—with 11 categories. The goal of the intensive care transport of patients with COVID-19 was twofold: to prevent the spread of infection by using personal protective equipment and to prevent the contamination of the helicopter. Conclusion For the nurses, working in personal protective equipment created a feeling of distance from patients that compromised patient–nurse intimacy. Our results suggest that ensuring the sufficiency of equipment required in the event of major accidents and pandemics is critical.
Serial Homology and Segment Identity in the Arthropod Head

Synopsis The anterior-most unit of the crown-group arthropod body plan includes three segments, the pre-gnathal segments, that contain three neuromeres that together comprise the brain. Recent work on the development of this anterior region has shown that its three units exhibit many developmental differences to the more posterior segments, to the extent that they should not be considered serial homologs. Building on this revised understanding of the development of the pre-gnathal segments, we suggest a novel scenario for arthropod head evolution. We posit an expansion of an ancestral single-segmented head at the transition from Radiodonta to Deuteropoda in the arthropod stem group. The expanded head subdivided into three segmental units, each maintaining some of the structures of the ancestral head. This scenario is consistent with what we know of head evolution from the fossil record and helps reconcile some of the debates about early arthropod evolution.
Temporal Bone Squamous Cell Carcinoma: Molecular Markers Involved in Carcinogenesis, Behavior, and Prognosis: A Systematic Review

Temporal bone squamous cell carcinoma (TBSCC) is an uncommon malignancy with a poor prognosis in advanced cases. The dismal outcome of advanced TBSSC cases is largely due to the cancer’s local aggressiveness and the complex anatomy of this region, as well as to persistent pitfalls in diagnosis and treatment. Molecular changes occur in malignancies before any morphological changes become visible, and are responsible for the disease’s clinical behavior. The main purpose of this critical systematic review is to assess the level of knowledge on the molecular markers involved in the biology, behavior, and prognosis of TBSCC. A search (updated to March 2022) was run in PubMed, Scopus, and Web of Science electronic databases without publication date limits for studies investigating molecular markers in cohorts of patients with primary TBSCC. The search terms used were: “temporal bone” OR “external auditory canal” OR “ear”, AND “cancer” OR “carcinoma” OR “malignancy”. We preliminarily decided not to consider series with less than five cases. Twenty-four case series of TBSCC were found in which different analytical techniques had been used to study the role of several biomarkers. In conclusion, only very limited information on the prognostic role of molecular markers in TBSCC are currently available; prospective, multi-institutional, international prognostic studies should be planned to identify the molecular markers involved in the clinical behavior and prognosis of TBSCC. A further, more ambitious goal would be to find targets for therapeutic agents able to improve disease-specific survival in patients with advanced TBSCC.
Estimation of In Situ Heat Capacity and Thermal Diffusivity from Undisturbed Ground Temperature Profile Measured in Ground Heat Exchangers

Undisturbed ground temperature (UGT), thermal conductivity (TC) and heat capacity (HC) are essential parameters to design geothermal heat pumps and underground thermal energy storage systems, particularly borehole heat exchangers (BHE). However, field methods to assess the thermal state and properties of the subsurface are costly and time consuming. Moreover, HC is often not evaluated in situ but arbitrarily selected from literature considering the geological materials intercepted by boreholes. This work proposes an original empirical approach to reproduce a UGT profile and estimate in situ thermal diffusivity (TD) and HC in the scope of conventional thermal response tests (TRTs). Empirical equations were developed to reproduce a UGT profile measured along a BHE. Experimental coefficients are found with a non-linear least square solver optimization and used to calculate the damping depth, TD and HC. The suggested heat tracing method was verified and validated against other field methods demonstrating to be fast and reliable. The novelty of this new empirical approach relies on the use of a single temperature profile providing a simple way to better assess subsurface thermal properties.
A Survey of Technologies Facilitating Home and Community-Based Stroke Rehabilitation

Abstract Stroke is a cardiovascular and cerebrovascular disease that affects the aged population at a high rate. Patients’ functional disabilities can be reduced with effective rehabilitation training. However, due to a lack of hospital resources and a social yearning for family contact, patients frequently discontinue rehabilitation training sessions and return home to their local community. Such a shift emphasizes the value of home and community-based rehabilitation, where patients can perform daily training with remote support from therapists. In this survey, the technologies that assist stroke rehabilitation will be discussed in following aspects: (1) technologies for home-based stroke rehabilitation; (2) technologies for community-based stroke rehabilitation; (3) technologies for therapist’s engagement in remote rehabilitation. A comprehensive overview of technologies that support home and community-based stroke rehabilitation was presented, as well as insights into future research themes.
Influence of some environmental factors on the distribution of zooplankton complexes in Mandra Reservoir, in Southeastern Bulgaria

The aim of the present study was to trace the influence of some environmental factors (w.temperature, wind, transparency, depth) on the distribution of zooplankton communities in the system Reservoir Mandra and the ecotone zones formed at the confluence of rivers Fakiyska, Sredetska, Izvorska and Rusokastrenska. Four samplings were performed at seven sites between February 2020 and January 2021. After determining the species composition and abundance, the results were subjected to structural analysis and Canonical Correspondence Analysis (CCA). A total of 67 taxa were identified, constituting about 48% of the Rotifera group, 27% of Cladocera and 19% of the Copepoda and only 6% from Protozoa. The Shannon-Weaver index for individual species diversity was between 2.37 and 0.62. The positive and negative correlation of zooplankton distribution in CCA shows that the relative abundance of any species depends on specific environmental variables. Analysis showed that temperature and wind had the strongest impact on the distribution of zooplankton.
ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR

In this study we address the challenging problem of automatic detection of transient deformation of the Earth’s crust in time-series of differential satellite radar (InSAR) images. Detection of these events is important for a wide range of natural hazard and solid earth applications and InSAR is an ideal data source for this purpose due to its frequent and global observational coverage. However, the size of this dataset precludes systematic manual analysis and low signal to noise ratio makes this task difficult. We present a novel method to address this problem. This approach requires development of a novel network architecture to take advantage of the unique structure of the InSAR dataset. Our unsupervised deep learning model learns the ‘normal’ unlabeled spatio-temporal patterns of background noise signals in 3D InSAR datasets and learns the relationship between the input difference images and the underlying unknown set of individual 2D fields of noise from which the InSAR images are constructed. The detection head of our pipeline consists of two complementary methods, semivariogram analysis and density-based clustering. To evaluate, we test and compare three increasingly complex network architectures: compact, deep, and Bi-deep. The analysis demonstrates that the Bi-deep architecture is the most accurate and so it is used in the final detection pipeline (ALADDIn). The analysis of experimental results is based on detection of a synthetic deformation test case, achieving a 91.25% overall performance accuracy. Furthermore, we show that ALADDIn can detect a real earthquake of Magnitude 5.7 that occurred in 2019 in south-west Turkey.
Resistance and Application of the Biomass from Fusarium solani in the Removal of Pentachlorophenol in Aqueous Solution

Recently, the removal and degradation capacity of different environmental contaminants such as heavy metals, organic solvents, oils, plastics, pesticides and herbicides, from sites contaminated by low-cost materials has been studied, with promising results. These adsorbents include agricultural and industrial waste, clay minerals, live and dead microorganismos, and others materials. The objective of this investigation was study the tolerance and removal capacity of pentachlorophenol by the environmental polluting fungus Fusarium solani, by UV-visible spectrophotometry method. The fungal strain grew on LMM supplemented with 80 mg/L of PCP about 6% of growth relative to control (118 mg of dry weight without of pesticide) was obtained. The highest adsorption was obtained at pH 5.0, at 28oC after 24 hours of incubation with 1 g of fungal biomass, and 100 rpm. If we increase the PCP concentration, the removal capacity decrease, and if the biomass concentration is increase, the removal is most efficient, and the laccase activity is increase in presence of 10 mg/L of PCP, with a degradation of 63% at 15 days of incubation.
Response of Pituitary Cells and Tissues to Neurokinin B and F in the Nile tilapia

Abstract Neurokinin B (NKB) is a neuropeptide involved in the regulation of reproductive endocrine system of vertebrate animals, including fish. However, the pathway of NKB action in fish has not been clearly elucidated. In order to clarify the effect of NKB and NKF (neurokinin F) on gonadotropic hormone (GTH) gene expression in the pituitary, we studied the changes of LHβ and FSHβ gene expressions by using two different pituitary culture methods (whole pituitary culture or dispersed pituitary cell culture). Pituitaries were removed from mature female and male Nile tilapia. Changes of LHβ and FSHβ gene expressions were measured and compared after the treatment with NKB or NKF peptides at concentrations 0 to 1,000 nM. Expression of GTH genes in the whole pituitary cultures treated with NKB or NKF peptides did not show significant difference except in female at one concentration when treated with NKF. On the contrary, there were significant changes of GTH gene expressions in the dispersed pituitary cell cultures when treated with NKB and NKF peptides. These results suggest that dispersed pituitary cell culture is more relevant than whole pituitary culture in studying the function of pituitary, and that NKB and NKF could act directly on the pituitary to regulate the expression of GTH genes.
Infusing design, engineering, and technology into K-12 teachers’ practice

A graduate course for teachers on Design, Engineering and Technology (DET) was designed to infuse DET concepts and activities into the teachers' own practice. Three teachers who took the course were studied in depth to document the impact of the course in helping them implement DET in their lessons. Data for this study consisted of open-ended pre and post surveys, seven reflection papers, a DET unit plan written by the participants and participant interviews. An emergent-theme qualitative data analysis revealed meaningful patterns of change as the data were organized, categorized, reduced, coordinated and verified. Four key themes were revealed through this process: Reflections on Practice; Changes in Practice; Intentions to Change Practice; Changes in Knowledge. The case studies showed the following changes that occurred in participants' own teaching activities. Alice, an elementary school teacher, changed her practice by using DET concepts through having her children design a desert tortoise habitat. Denise, who taught at a science centre, changed her practice by shifting from crafts-based to design-based activities. Dana, a high school honours chemistry teacher, changed her practice by having her students design and build a lab instrument (calorimeter) and design associated lab activities. The teachers reported that the course's sharing and interactive activities promoted their ability to change. These activities included: reading and discussing research on classroom applications of DET; discussing possible changes in their own practice; sharing successes and failures in developing and trying their own lessons; receiving feedback to refine their lessons over the semester. Overall, the course and its activities were a catalyst in transforming the teachers into a community of learners who supported one another as they infused DET into their practice.
From roadblocks to building blocks: Developing a theory for putting power in its place

This is an electronic version of a book chapter which was originally published as: Alexander, D. (1992). From roadblocks to building blocks: Developing a theory for putting power in its place. In C. Plant & J. Plant (Eds.), "Putting power in its place: Create community Control! " (pp. 38-46). Gabriola Island, B.C.: New Society.
Citizenship participation in local and urban planning in Algeria

Participation is a strong reflection of harmony, solidarity and social cohesion in designing and preparing the policy of cities in light of global competition among countries for the advancement of all sectors of the state in various fields. Urban planning is an effective means of controlling urban regulation, considering that governance is one of the general principles of the city policy in Algeria, under which the foundations and approaches seeking to involve citizens, directly or through associations, in the management of programs and activities related to their living environment, as well as the assessment and evaluation of the implications thereof. This study aims to assess citizens’ participation at the local level and the space given to them during the design and the implementation of urban planning tools in the case study of Land Occupancy Plan (LOP) No. 7 in the city of Hammam Dhalaa. The study is based on the analytical descriptive approach and research techniques, such as site visit, observation, and content analysis, in order to provide the necessary recommendations to address a range of obstacles that narrow the space of citizens’ participation at the local level during the design and the implementation of development projects.
Spatial Features of Urban Expansion in Vietnam Based on Long-Term Nighttime Lights Data

As a developing country, Vietnam has experienced rapid economic development since the 21st century. It is therefore becoming increasingly important to understand its spatial pattern of urban expansion. However, the key challenge in this endeavor lies in the lack of national accounting data for the sub-administrative divisions of Vietnam at the national level, especially longitudinal data over a long time series. The nighttime lights (NTL) data can objectively reflect the scope and intensity of human development and construction in urban built-up areas, which can effectively support the empirical analysis of the urban expansion process in Vietnam. This paper uses the intercalibration model to correct and fit the long time series of DMSP/OLS and VIIRS/NPP NTL data. Based on this, the data for the urban built areas of Vietnam from 2000 to 2018 are further extracted. The results are as follows. (1) The main urban expansion in Vietnam is concentrated in the southern Mekong Delta and the northern Red River Delta, represented by Ho Chi Minh City and Hanoi City, respectively. (2) Vietnam’s urban NTL has significant high–high clustering characteristics in the north-south delta regions. The main urban expansion hotspots were concentrated around Ho Chi Minh City before 2012, the northern region represented by Hanoi City was gradually transformed into a critical area that gathering urban expansion hotspots after 2012. (3) The cities with significant influence and high coupling degree of industrialization and globalization on the urbanization of Vietnam are concentrated in Ho Chi Minh City, Hanoi, and some northern delta provinces, showing that the impact of industrialization and globalization on urbanization in Vietnam is still limited to some regions. In addition, the results show that the size of the population and the level of industrialization are the main drivers of urban expansion in Vietnam, while the level of foreign investment shows little significance. The results are helpful for promoting the application of long time series NTL data in urban expansion and for further analyzing the urban pattern changes in Vietnam and the influencing factors behind them.