Miracle-dz/UniFAR-FTUs huggingface dataset:
Editorial: Biologging Special Feature 1

to identify of in African savanna elephants Loxodonta a function The study shows the activity home range of vary with male reproductive status to estimate fitness metrics from movement itself. The authors further discuss the implications for the conservation of elephants, as well as the opportunities of long-term biologging of individuals for linking movement to life-history trade-offs. They combine stable isotope analysis investigate diet, GPS locations, immersion data, and expectation-maximisation binary clustering to identify foraging activities in the tracking data. Results reveal a high degree of inter- and intraspecific overlap in foraging distributions in both incubation and chick-rearing stages, with partial niche overlap, and low individual specialisation of foraging location or habitat. The study provides novel evidence that generalist foraging strategies
Feeling of the Coast Associated with Emotions a Study Based on Qualitative Approach

Various models of emotions and Emotional Intelligence were initially reviewed by the researcher to have a strong understanding of how emotions are connected with various components of the life of a normal human being. However, emotional components are very rarely discussed with regard to coastal connection and the connectivity of the mind with components of coastal land it was a tough task from the researcher’s side to use qualitative methods to collect data and understand the response of the target respondents who were interviewed and observed based on researchers convenience. One of the marketing strategies used in the entertainment and recreation industry is to provide a peaceful stay at a coastal area for mind relaxation, which is an intern, again connected with emotions. Taking into consideration the most famous coastal area in down south of Tamil Nadu, India, Mahabalipuram, and Pondicherry is the study area. Emotions are common for every individual and it cannot be restricted within a specified domain, thus those tourists demographic profile has been analysed in-depth to know to which domain they belong to and how emotions are seen from various viewpoints. The outcome of the research paper has given rise to core emotional components associated with coastal feeling. This mechanism clearly states the needs and expectations of various individuals to self-think why a coastal location is a better choice to soothe emotions for a better life. The impact and importance of emotions are felt and realized at the coastal area in a better way as it is always a heaven on earth. Though many research papers concentrating on tourism, Emotional Intelligence, and other variables, this research paper is a new try and new exploration to feel and experience the coastal feelings in life from the respondent’s viewpoint. Thus, it’s a purely qualitative approach based study for a good social science research.
Model Predictive Control for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles

ABSTRACT This study presents an integrated multi-objective controller for electric vehicles ( EVs) to achieve four main control objectives concurrently, i.e. slip control in traction and braking, lateral stability control, handling improvement, and rollover prevention. The model-based integrated controller provides a centralised structure to improve the overall stability of the vehicle. The proposed controller considers the interactions of different stability objectives and delivers an optimal solution by including all objectives, simultaneously. The main stability issues in vehicle dynamics including slip control in traction and braking, lateral stability, handling improvement, and rollover prevention are integrated and incorporated in this controller. The stability objectives are realised through proper distribution of torques on four independent wheels of EVs. The unified integrated controller is developed using the Model Predictive Control (MPC) approach. Barrier functions are employed to confine the state variables for slip control, lateral stability, and rollover prevention within the handling limits and safe regions of manoeuverability. Simulation results show that the proposed integrated controller can be effectively used for control of different stability and safety issues of EVs in different situations.
Systemic of a brain-penetrant TrkB antagonist reduces behavioral measures

3 Cocaine exposure alters Brain-Derived Neurotrophic Factor (BDNF) expression in the brain. 4 BDNF signaling through TrkB receptors differentially modulates cocaine self-administration 5 depending on the brain regions involved. In the present study, we determined how brain-wide inhibition of TrkB signaling affects cocaine intake, the motivation for the drug, and reinstatement of 7 drug taking after extinction. To overcome the inability of TrkB ligands to cross the blood-brain 8 barrier, the TrkB antagonist cyclotraxin-B was fused to the non-toxic transduction domain of the tat 9 protein from human immunodeficiency virus type 1 (tat-cyclotraxin-B). Intravenous injection of tat- 10 cyclotraxin-B dose-dependently reduced cocaine intake in rats that had short and extended access to 11 self-administration. In addition, it decreased cocaine intake under a progressive ratio schedule of 12 reinforcement as well as reinstatement of cocaine taking. In contrast, the treatment did not affect 13 operant responding for a glucose/saccharin solution, demonstrating that the effects of tat- 14 cyclotraxin-B are specific for cocaine reward. Cocaine self-administration increased TrkB signaling 15 and activated the downstream Akt pathway in the nucleus accumbens, and had opposite effects in 16 the prefrontal cortex. Pretreatment with tat-cyclotraxin-B normalized protein levels in these two 17 dopamine-innervated brain regions. Cocaine self-administration also increased TrkB signaling in 18 the ventral tegmental area, where the dopaminergic projections originate, but pretreatment with tat- 19 cyclotraxin-B did not alter this effect. Altogether, our data show that systemic administration of a 20 brain-penetrant TrkB antagonist leads to brain region-specific effects and may be a potential 21 pharmacological strategy for the treatment of cocaine addiction.
R ESEARCH Role of helicity of α -helical antimicrobial peptides to improve speci ﬁ city

A major barrier to the use of antimicrobial peptides as antibiotics is the toxicity or ability to lyse eukaryotic cells. In this study, a 26-residue amphipathic α -helical antimicrobial peptide A12L/A20L (Ac-KWKSFLKTFKSLK KTVLHTLLKAISS-amide) was used as the framework to design a series of D- and L-diastereomeric peptides and study the relationships of helicity and biological activities of α -helical antimicrobial peptides. Peptide helicity was measured by circular dichroism spectroscopy and demonstrated to correlate with the hydrophobicity of peptides and the numbers of D-amino acid substitutions. Therapeutic index was used to evaluate the selectivity of peptides against prokaryotic cells. By introducing D-amino acids to replace the original L-amino acids on the non-polar face or the polar face of the helix, the hemolytic activity of peptide analogs have been signi ﬁ cantly reduced. Compared to the parent peptide, the therapeutic indices were improved of 44-fold and 22-fold against Gram-negative and Gram-positive bacteria, respectively. In addition, D- and L-diastereomeric peptides exhibited lower interaction with zwitterionic eukaryotic membrane and showed the signi ﬁ cant membrane damaging effect to bacterial cells. Helicity was proved to play a crucial role on peptide speci ﬁ city and biological activities. By simply replacing the hydrophobic or the hydrophilic amino acid residues on the non-polar or the polar face of these amphipathic derivatives of the parent peptide with D-amino acids, we demonstrated that this method could have excellent potential for the rational design of antimicrobial peptides with enhanced speci ﬁ city.
CO-CREATING SERVICE EXPERIENCE WITH STAKEHOLDERS: THE CASE OF TAIWAN’S CULTURAL CREATIVE INDUSTRY

Recently, co-creation has become an important issue in service design. However, there is very limited research on exploring how a firm can efficiently and effectively co-create with different types of stakeholders to deliver a holistic service experience. To date, the cultural creative industry has been steadily popular around the world. Therefore, this study aimed to explore the ways in which a firm, Lin’s Ceramics Studio (LCS), co-creates with different stakeholders to offer Chinese tea culture experiences in Taiwan’s culture industry. In doing so, this study adopted an ethnographic approach to obtain deeper insights into how LCS can design and deliver service experiences, and to build a detailed description of the service design project. In this study, the researchers stayed in the field over seven months to collect data by participating observations and interviews with different stakeholders. The findings of the study highlight the need for research to investigate many of the above issues, and in particular, methods for improving co-creation with stakeholders for the cultural creative industry.
Cascade Architecture for Self Destructing Data System Using Vanishing Data Object

: There are an increasing number of services offering ‘cloud storage’ where you can upload documents, photos, videos and other files to a website to share with others or to act as a backup copy. These files can then be accessed from any location or any type of device (laptop, mobile phone, tablet etc. This paper seeks to advance the state of the art in practical self-destructing data systems that secure sensitive data from disclosure in our highly mobile, social-networked, cloud-computing world. Our work facilitates the automatic, timed, and simultaneous destruction of all copies of a self-destructing data object (such as a message or file) without any explicit action by the user and without relying on any single trusted third party. We make three contributions to the study of self-destructing data. First, we present Cascade, an extensible framework for integrating multiple key-storage mechanisms into a single self-destructing data system. Cascade enhances resistance to attack by combining the security advantages of a diverse set of key-storage approaches. Second, we introduce Tide, a new key-storage system for self-destructing data that leverages the ubiquity and easy deployment of Apache Web servers throughout the Internet. Third, based on our earlier work on Vanish and in light of recent attacks against the Vuze DHT, we demonstrate how to significantly harden Vuze and other DHTs against Sybil data-harvesting attacks, making DHTs applicable as key-storage systems under Cascade.
Minireview Linking selenium biogeochemistry to the sulfur-dependent biological detoxiﬁcation of arsenic

Raoul-Marie Couture,1 Agnieszka Sekowska,2 Gang Fang3 and Antoine Danchin2,4* Ecohydrology, Department of Earth and Environmental Sciences, University of Waterloo, 200 University Ave W, Waterloo, Canada N2L 3G1. AMAbiotics SAS, Bâtiment G1, 2 rue Gaston Crémieux, 91000 Evry, France. Department of Molecular Biophysics & Biochemistry, Medical School, Yale University New Haven, CT 06520, USA. Department of Biochemistry, Faculty of Medicine, Hong Kong University, 21 Sassoon Road, Pokfulam, Hong Kong.
Modeling and Control of Z-Source Converter for Fuel Cell Systems

—This report presents a detailed circuit analysis and PWM implementation of a fuel cell based Z-source converter using L and C components. The fuel cell system is modeled by an electrical R-C circuit in order to include a slow dynamics of the fuel cells and a voltage-current characteristic of a cell is also considered. A discrete-time state space model of the Z-source converter is given for DSP implementation. A modified space vector pulse width modulation is described in detail. To verify the effectiveness of the analyzed circuit model and modified space vector PWM technique, various simulation results using Matlab/Simulink are presented under a closed-loop control and Matlab/Simulink models are attached in Appendix. Also, all Matlab/Simulink codes are given.
Data Science in Government Agencies: The Challenge of Deployment and Operation

Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
A PROCESS FOR DETECTING FAKE NEWS USING DEEP LEARNING MODELS

- Due to the ever-increasing usage of social media, it is now crucial to combat the dissemination of false information and decrease reliance on information retrieved from such sources. Since users' contacts with fake and unreliable news contribute to its spread on a personal level, social media platforms are continuously under pressure to come up with remedies that are successful. This propagation of false information has a negative impact on how people see a significant activity, thus it must be addressed in a contemporary manner. In order to construct multiple datasets for the true and fake news items, we collected 1356 news instances from different people via Twitter and news sources like PolitiFact for this study.In this study, a number of cutting-edge methods are contrasted, including convolutional neural networks (CNNs), ensemble methods, and attention processes. In LSTM bidirectional+ CNN network had 88.78% accurate with attentive mechanism, while 85% detection rate identify fake news by Ko et el.
W HO ARE THE S HOWROOMERS ? S OCIO D EMOGRAPHIC F ACTORS B EHIND THE S HOWROOMING B EHAVIOR ON M OBILE D EVICES

This quantitative study focuses on socio-demographic variables and their associations with different forms of showrooming behavior. The purpose of this study is to find which consumer groups based on age, gender, and income level are demographically the most probable showroomers, and how mu ch each of these variables explain showrooming. The data used is a structured online survey from 1,028 Finnish omnichannel consumers aged between 18 and 75 years. We compare the means of demographic groups’ shares on different aspects of showrooming, and t hen use partial least squares structural equation modeling with confirmatory factor analysis to see how much each of the variables explain showrooming. The findings show that showrooming behavior is explained most by age, and that the most probable showroo mers are younger consumers, higher income consumers and female consumers.
Network Diagnostics Using Passive Network Monitoring and Packet Analysis

—Finding a problem cause in network infrastructure is a complex task because a fault node may impair seemingly independent components. On the other hand, most communication protocols have built-in error detection mechanisms. In this paper, we propose to build a system that automatically diagnoses network services and applications by inspecting the network communication automatically. We model the diagnostic problem using a fault tree method and generate a set of rules that identify the symptoms and link them with possible causes. The adminis- trators can extend these rules based on their experiences and the network conﬁguration to automatize their routine tasks. We successfully deployed the proof-of-concept tool and found interesting future research topics.
Xpert MTB/RIF for Rapid Diagnosis of Tuberculous Lymphadenitis from Fine-Needle-Aspiration Biopsy Specimens (cid:1)

This study demonstrates the excellent diagnostic accuracy of the Xpert MTB/RIF test in patients with tuberculous lymphadenitis. The test sensitivity and speciﬁcity were 96.7% (95% conﬁdence interval [CI], 86.6 to 100%) and 88.9% (95% CI, 69.6 to 100%), respectively, and it correctly identiﬁed 6/6 (100%) of the cytology smear-negative/culture-positive cases and 1 of 2 (50%) rifampin-resistant cases. Tuberculous lymphadenitis is the most common extrapulmonary manifestation of tuberculosis (TB) (4, 8), and the majority of cases no
Determinants of Economic Growth across States in India

Economic performance has been widely different across states in India. This paper attempts to examine some possible determinants of growth across 17 major states in India during 2004-05 to 2016-17. While investment data at the state level are not available to examine its influence on growth at the state level, the growth literature over the years has focused on several other variables such as infrastructure, social sector expenditure, urbanisation, and financial inclusion for which state level data are available. We examine these possible determinants in our analysis in this paper using a fixed effect panel regression model. In this context, a well-recognised point is that social sector expenditure by the government has a bidirectional relationship with economic growth in the sense that it influences growth as well as it is influenced by growth. A two stage least square approach using instrument variables has been used to treat the endogeneity problem. Second, an infrastructure index has been constructed at the state level using principal component analysis to combine several infrastructure related variables. The results indicate that infrastructure development, social sector expenditure, and financial inclusion have positive and significant effects on GSDP and per capita GSDP across states and seem to be important drivers of growth across states in India. Urbanisation by itself seems to be having a negative effect on growth, though it has a positive effect on per capita GSDP.
Immunotherapy in soft tissue and bone sarcoma: unraveling the barriers to effectiveness

Sarcomas are uncommon malignancies of mesenchymal origin that can arise throughout the human lifespan, at any part of the body. Surgery remains the optimal treatment modality whilst response to conventional treatments, such as chemotherapy and radiation, is minimal. Immunotherapy has emerged as a novel approach to treat different cancer types but efficacy in soft tissue sarcoma and bone sarcoma is limited to distinct subtypes. Growing evidence shows that cancer-stroma cell interactions and their microenvironment play a key role in the effectiveness of immunotherapy. However, the pathophysiological and immunological properties of the sarcoma tumor microenvironment in relation to immunotherapy advances, has not been broadly reviewed. Here, we provide an up-to-date overview of the different immunotherapy modalities as potential treatments for sarcoma, identify barriers posed by the sarcoma microenvironment to immunotherapy, highlight their relevance for impeding effectiveness, and suggest mechanisms to overcome these barriers.
to Recombinant Immunotoxins in Mice Bortezomib Reduces Pre-Existing Antibodies

Recombinant immunotoxin (RIT) therapy is limited in patients by neutralizing Ab responses. Ninety percent of patients with normal immune systems make neutralizing Abs after one cycle of RIT, preventing repeated dosing. Furthermore, some patients have pre-existing Abs from environmental exposure to Pseudomonas exotoxin, the component of the RIT that elicits the neutralizing Ab response. Bortezomib is an U.S. Food and Drug Administration–approved proteasome inhibitor that selectively targets and kills plasma cells that are necessary for the neutralizing Ab response. We hypothesized that bortezomib may abrogate neutralizing Ab levels, making dosing of RIT possible in mice already immune to RIT. We immunized BALB/c mice with multiple doses of SS1P, a RIT whose Ab portion targets mesothelin. Mice with elevated Ab levels were separated into groups to receive saline, bortezomib, the pentostatin/cyclophosphamide (PC) regimen, or the bortezomib/PC (BPC) combination regimen. Four weeks after ﬁnishing therapy, plasma Ab levels were assayed, and bone marrow was harvested. The bortezomib and PC regimens signiﬁcantly reduced Ab levels, and we observed fewer plasma cells in the bone marrow of bortezomib-treated mice but not in PC-treated mice. The BPC combination regimen almost completely eliminated Abs and further reduced plasma cells in the bone marrow. This regimen is more effective than individual regimens and may reduce Ab levels in patients with pre-existing neutralizing Abs to Pseudomonas exotoxin, allowing RIT treatment. The Journal of Immunology , 2015, 194: 000–000.
University of Birmingham Job Insecurity

Job insecurity has become increasingly evident in European countries in recent years. In Germany, legislation has increased insecurity through erosion of the standard employment relationship. Fixed-term contracts are central to deﬁnitions of insecurity based on b t pre-deﬁned regression weights allowing the estimation of the (latent) intercept and slope parameters. Assuming a linear trend based on 5 time points (2010–2014) with equally spaced intervals, k t includes the values (0, 1, 2, 3, 4). Estimating mean trajectories, a 0 represents the mean life satisfaction of the in 2010, while b 0 represents the mean rate of change from 2010 to 2014. The disturbances f a i and f b i (with means of zero and variances of f a i , f b i as well as their covariance) represent individual deviations from the mean intercept a 0 and mean slope b 0 . The variances of the latent growth parameters hence indicate whether there is inter-individual variation in initial life satisfaction and in the rate of change of life