Miracle-dz/UniFAR-FTUs huggingface dataset:
PERSISTENT COLIFORM CONTAMINATION IN LECHUGUILLA CAVE POOLS

Lechuguilla Cave, located 5.6 km WNW of Carlsbad Cavern in Carlsbad Caverns National Park, Eddy County, NM, contains numerous pools with unique microbial communities that have been subjected to impact by human visitors (Mallory et al. 1995, Northup et al. 1997). The discovery in 1986 of Lechuguilla’s extensive passages beyond the entrance area provided scientists a spectacular cave in which to study speleogenesis, unusual speleothems, and geomicrobiological interactions (Boston et al. 2001, Provencio & Polyak 2001, Cunningham et al. 1995, Dawson 1996, Hill 2000, Northup et al. 2000, Palmer & Palmer 2000, Polyak & Provencio 2000, Turin & Plummer 2000). As the deepest cave in the continental United States, with a total surveyed length of 170 km and a depth of 475 m (Turin & Plummer 2000), Lechuguilla also showed potential as an analogous environment for extraterrestrial life (Boston 2000). Lechuguilla’s pristine nature and numerous possibilities for science and discovery have encouraged various conservation measures including the establishment of camps, designated trails, urine dumps, and drinking sources, and limiting of organic carbon enrichment (Northup et al. 1992). Despite preservation efforts, human contact with the ground waters has led to unintentional contamination of Lechuguilla’s sources of drinking-water, posing an unusual importance due to the limited access (Boston 1999, Northup et al. 1997, Northup et al. 2000; Fig.1). COLIFORM PRESENCE AND PERSISTENCE
New Constructions of Traceable Range Proofs: Towards Multiple Regulation and Joint Regulation

—Traceable range proof (TRP) plays a major role in the construction of regulatable privacy-preserving blockchains, as it empowers regulators with traceability of the hidden amount in each transaction. In this paper, we give new constructions of TRPs with improved efﬁciency and more regulatory functions. In particular, we introduce sTBoRP: a simpliﬁed traceable Borromean range proof directly from Borromean ring signature without additional validity proofs for tracing keys, sTBoRP can be applied for multiple regulation between different regulators, and can be further modiﬁed to be secure against malicious regulators. Moreover, we introduce jTBuRP: a modiﬁed traceable Bulletproofs range proof to support joint regulation against collusion attack of malicious regulators, by improving the generation algorithm of tracing keys. We also give the security proofs for both schemes and give the comparisons of efﬁciency and security.
Antidepressant-induced reduction in betel-quid use in patients with depression

Abstract Betel-quid is commonly used around the world and is listed as a Group I carcinogen. Prior research has suggested a possible association between antidepressants and betel-quid use. We aimed to clarify the effects of antidepressant therapy in betel-quid chewers in the population of patients with depression. We enrolled 204 patients with depressive disorders, collected their demographic information, and administered the Substance Use Severity Rating Scale for alcohol, cigarettes, and betel-quid and the Hamilton Depression Rating Scale. We compared betel-quid and non-betel-quid chewers and examined the effects of antidepressant therapy on betel-quid abstinence after previous exposure to betel-quid. Patients with depression were reported a higher prevalence of 26% betel-quid chewing habits and patients who chewed betel-quid showed more severe depressive symptoms. After antidepressant therapy, the addictiveness of betel-quid was significantly reduced by 4 times. This was a pioneering study showing that antidepressants could be a candidate for betel-quid cessation therapy. Future clinical trials are needed to verify their efficacy in reducing consumption for betel-quid addiction treatment.
Interindividual Heterogeneity of SGLT2 Expression and Function in Human Pancreatic Islets

Studies implicating sodium–glucose cotransporter 2 (SGLT2) inhibitors in glucagon secretion by pancreatic α-cells reported controversial results. We hypothesized that interindividual heterogeneity in SGLT2 expression and regulation may affect glucagon secretion by human α-cells in response to SGLT2 inhibitors. An unbiased RNA-sequencing analysis of 207 donors revealed an unprecedented level of heterogeneity of SLC5A2 expression. To determine heterogeneity of SGLT2 expression at the protein level, the anti-SGLT2 antibody was first rigorously evaluated for specificity, followed by Western blot and immunofluorescence analysis on islets from 10 and 12 donors, respectively. The results revealed a high interdonor variability of SGLT2 protein expression. Quantitative analysis of 665 human islets showed a significant SGLT2 protein colocalization with glucagon but not with insulin or somatostatin. Moreover, glucagon secretion by islets from 31 donors at low glucose (1 mmol/L) was also heterogeneous and correlated with dapagliflozin-induced glucagon secretion at 6 mmol/L glucose. Intriguingly, islets from three donors did not secrete glucagon in response to either 1 mmol/L glucose or dapagliflozin, indicating a functional impairment of the islets of these donors to glucose sensing and SGLT2 inhibition. Collectively, these data suggest that heterogeneous expression of SGLT2 protein and variability in glucagon secretory responses contribute to interindividual differences in response to SGLT2 inhibitors.
The Perceived Impact of International Educational Experiences in the United States on Saudi Respiratory Therapists

BACKGROUND: Rapid changes in healthcare and science have enhanced the need for international educational experiences (IEE). Despite the importance of IEE in healthcare, there is a lack of literature in this area of research specifically relating to respiratory therapy. Therefore, it is important to assess the perceived impact of IEE in the United States on RT students in order to evaluate the need for developing international educational opportunities in the field of respiratory therapy. PURPOSE: The aim of this study was to assess Saudi RT international students’ perception of the impact of IEE on their lives experiences. METHODS: Data were collected through a descriptive survey using a modified version of the international education survey (IES). The survey was emailed to all RT members of the Saudi Society for Respiratory Care (SSRC). Four main dimensions were assessed: Professional RT role, global understanding, personal development, and intellectual development. Excluded from the study were non-Saudi RTs and RTs with no IEE from the United States. RESULTS: Nineteen responses met the exclusion criteria of the study and were excluded. The total adjusted number of participants was sixty-two (n=62) out of (N=534) emailed surveys. The study response rate was 15.17%. Just over half of participants hold a graduate degree in RT while 48.4% hold an undergraduate degree in RT. Female participants accounted for 12.9% of all participants while male participants accounted for 87.1%. The study revealed that “professional RT role” was the most impacted area of IEE for RT undergraduate students (M 5.48, ± 1.4). The study showed that “global understanding” was the most impacted area of IEE for graduate RT students (M 5.4, SD of ± 0.84). The study findings showed that there is a moderately significant positive correlation between the duration of IEEs and the impact of RT professional role (r=0.426; p=0.001). Moreover, the study findings indicated that IEEs had a higher but insignificant influence on former international RT students’ perceptions of impact than current students. Conclusion: IEE had a large overall impact on participant’s lives experiences. The study findings support the value of promoting IEEs in the United States for RT students due to its perceived positive impact on internationalization of healthcare. Further studies with higher number of participants, different cultural backgrounds, and different IEE destinations is recommended.
The Effects of Minimum Wage Policy on the Long‐Term Care Sector in England

Through the combined increase in the National Minimum Wage rate in October 2015 and the introduction of the National Living Wage in April 2016, workers aged 25 and over paid at minimum wage, had an over 10 percent pay raise. The long-term care (LTC) sector in England is a labour intensive, low pay sector, and as such, can be substantially affected by changes in minimum wage legislation. We assess the effects of this exogenous wage increase on independent LTC providers by looking at effects on wages, employment, employment conditions, productivity, and staff stability. Using data from the National Minimum Data Set for Social Care (NMDS-SC) and applying a ’beforeafter’ analysis, we find that the substantial increase in minimum wage had a strong and positive effect on wages in the LTC sector, with quite substantial compression of the wage distribution at the lower end. Although, as in many other studies, the employment effect is elusive, we find that this might be at least partially explained by a negative effect on employment conditions. Everything else equal, minimum wage policy had a positive effect on employment on zero-hours contracts, meaning that it contributed significantly to slowing down the downward trend in employment on zero-hours contracts in the sector.
Evaluation of Point Pair Feature Matching for Object Recognition and Pose Estimation in 3D Scenes

Object recognition and pose estimation is a key technology for contemporary and future industrial robotic applications. We implemented a point pair feature matching method and assess its suitability with respect to relevant criteria of such robotic tasks. We evaluate the algorithm on three different types of datasets to investigate the effects of object and scene properties on the recognition performance. Our implementation yields competitive results, yet we identify several drawbacks. We find that objects which are likely to be found in industrial environments, with rotational symmetries and rather primitive surface geometries, are harder to recognize than objects with more complex geometries. Also, the computational effort increases drastically when looking for small objects in large scenes. Without further modifications, the algorithm merely suggests an arbitrary number of poses for the object in question, without determining how many objects are actually present in the scene.
Making Animal Model of the Blood Stasis Syndrome and Its Probloms

Two methods were mainly employed in making animal models of the blood stasis syndrome:one according to the cause and pathologic mechanism of the blood stasis syndrome,such as blood stasis due to diseases caused by exogenous evil,blood stasis due to intense evil heat,stagnation of vital energy and blood stasis,blood stasis due to blood out of channel system,stagnation of vital energy and blood stasis,blood stasis caused by cold-evil,blood stasis caused by yang deficiency,blood stasis due to blood deficiency (spleen-asthenia),blood stasis caused by natural debility,another one according to the unnormal pathological physiological foundation in the studying of the blood stasis syndrome.
Analysis of communicated severe acute respiratory syndrome in staff of a general hospital

Objective:To investigate the causes and approach and high risk people of communicated severe acute respiratory syndrome(SARS)that provide proofs of protective and control it in staff of a general hospital.Methods:Standardized questionnaire was used on individual cases . Data on the epidemiological characteristics as time ,place, sex and occupational of SARS were analyzed with software SSPS11 0.Results:The attack rate of SARS in a general hospital was 6 1%. The infection rate of doctors and nurses and keep clean workers in ward were higher than that of other staff The sex attack rate of SARS was not marked difference in staff of hospital.Conclusion:The hospital aggregation of patients comprised in outbreak epidemiological in a general hospital . The doctors and nurses and keep clean workers in ward were one of high risk people and exited the same risk factors among them.
Development of a method and software system for dialogue in real time

In this paper, we propose a method for recognizing the audio stream in real time by cleaning the input signals from noise, as well as speech recognition using various third-party services. At the same time, the results of testing and analysis of the quality of speech recognition by these systems are presented. Based on the obtained test results, improvements and modifications to the recognition system are proposed.
PTU-024 Reliability of Rockall Score Calculation and its Impact on Gastroscopy in Patients with Acute upper Gastrointestinal Bleed (Augib)

Introduction Documentation of Rockall score (RS) in patients with AUGIB should be accurate to prioritise patients for gastroscopy. We noticed that Rockall scores were being incorrectly calculated on electronic gastroscopy request forms and decided to analyse this further. We correlated RS with findings on gastroscopy Methods Information was retrospectively collected on 100 patients who presented with AUGIB over a 2 month period between September and November 2012. Demographics, time to gastroscopy, Rockall score (RS) documented by requesting doctor, RS calculated by going through patient records (including A & E, paramedic entries) were recorded. We analysed patients whose RS was either under scored or over scored by the requesting doctor (as compared to the actual score as calculated by us) and correlated this with the electronic endoscopic records Results 100 patients were included in the study with 60 males (60%) and 40 females (40%), age ranging from 17 to 92, (mean 65.2, median 69.5). Presenting symptoms were melaena in 57% of patients, haematemesis in 27%, coffee grounds vomiting in 12% and combined melaena and haematemesis in 4%. RS was calculated in 52% by Foundation Year 1 trainees (FY1), in 10% by FY2s, in 26% by Senior House officers (SHO), in 6% by Locum SHOs, in 5% by Registrars and in 1% by a consultant. 46 out of 100 Rockall scores were incorrectly scored. 28 patients (60.9%) were over scored, while 18(39.1%) were underscored FY1s were responsible for incorrect scores in 27(58.7%) of patients, FY2 for 2 (4.3%), SHOs for 12(26%), locum SHOs for 3(6.5%) and registrars for 2(4.3%). Mean time from electronic booking to endoscopy was days in patients Mean time to Gastroscopy was day in of under scored patients day in of over scored patients. Of the 18 patients whose RS was under scored, 6 (33.3%) required endoscopic intervention with heater probe and Adrenalin injection. Of the 28 patients whose RS was over scored, only 3(10.7%) needed endoscopic intervention, while 5 of the 54 (9.2%) of the correctly scored patients needed endoscopic therapy. Conclusion It is important to calculate the RS correctly at the time of first presentation rather than at the time when the admitting doctor sees the patient. Observations from A&E and ambulance records should be scrutinised to document the accurate RS thus helping endoscopy units to correctly prioritise patients for gastroscopy. Incorrect calculation of RS can have adverse impact on patient outcomes – under scored patients may be delayed while over scored patients may use up vital endoscopy slots. Disclosure of Interest None Declared
THE ARCHIVES OF TRANSPORT

The presented paper refers to economical aspects of inland waterway transport means operation. Specifications of profit and cost areas were a basis of an economic estimation of the transport means operation. Within this framework a decision should be taken concerning the methods and scope of an economical analysis of transport means. The profit optimisation algorithm of inland waterway transport means operation was elaborated considering a division of the waterway into sectors (representing different characteristics specified by different, and temporary changing, navigation parameters). The main engine speed was established as a decision variable.
Evidence-based medicine and the evaluation of the quality of interventions in prevention and health promotion Part II: A criteria catalogue and a new instrument to display results

Deutsch Einleitung: Auch für Prävention und Gesundheitsförderung gilt das Gesetz der endlichen finanziellen Ressourcen. Daher müssen Interventionen priorisiert werden. Um ein Instrument zur Bewertung von Interventionen zu entwickeln, das eine Priorisierung erlaubt, haben die Autoren drei in der Bewertung von Prävention und Gesundheitsförderung angewandte, aber bisher als sich epistemologisch gegenseitig widersprechend geltende Ansätze unter Bewahrung ihrer jeweiligen Stärken zusammen geführt: 1) Best practice, 2) Qualitätssicherung, und 3) evidenzbasierte Evaluation. Theoretische Basis und Methode: Das daraufhin in einem internen Delphiverfahren auf der Basis von bestehenden international angewendeten Instrumenten, z. B. PREFFI, entwickelte
Design and Fabrication of Hybrid Electric Bike

A ’gasoline-electric hybrid vehicle’ or ’hybrid electric vehicle’ is a vehicle which relies not only on batteries but also on an internal combustion engine which drives the wheels. It has great advantages over the previously used gasoline engine that drives the power from gasoline only. It also is a major source of air pollution. The objective is to design and fabricate a two wheeler hybrid electric vehicle powered by both battery and gasoline. The combination of both the power makes the vehicle dynamic in nature. It provides its owner with advantages in fuel economy and environmental impact over conventional automobiles. Hybrid electric vehicles combine an electric wheel hub motor, battery and control system with an internal combustion engine to achieve better fuel economy and reduce toxic emissions. In HEV, the battery alone provides power for low-speed driving conditions where internal combustion engines are least efficient. In accelerating, long highways, or hill climbing the electric motor provides additional power to assist the engine. This allows a smaller, more efficient engine to be used. Thus the vehicle is best suited for the growing urban areas with high traffic.
DESIGNING CAPABILITY MATURITY MODEL FOR AGILE TRANSFORMATION EXCELLENCE

As organisations are challenged with volatility, uncertainty, complexity and ambiguity (VUCA), developing Agile capabilities becomes first priority for most organisations to innovate and disrupt entire markets. A great number of companies, however, face significant challenges to effectively manage organisational change while developing Agile capabilities. In this paper-in-progress the author adopts Design Science approach and develops an artefact - Capability Maturity Model (CMM), which promises to solve abovementioned challenges. Although maturity models (MMs) are an established instrument to devise development paths, currently available Maturity Models often focus on the control of certain capabilities (doing things right) rather than on developing the necessary capabilities in a sequence appropriate for a given type of organization (doing the right things) (Winter, R., Aier, S., 2019). Therefore, the proposed artefact will focus on devising capability development sequences that correspond to organisational learning, rather than control levels. In particular, such management tool will help organisations (1) to assess the current maturity of their Corporate Agility capabilities, (2) to create a basis for defining their target state, (3) to enable fact-based communication with a large group of stakeholders concerning organisation’s agility transformation, and (4) to derive concrete measures (roadmap) for directed improvement of the capabilities.
Assessing CoDa regression for modelling daily multivariate air pollutants evolution

The application of the theory of compositional data in multivariate spatio- temporal statistical models is still scarce, even though the results obtained are robust. Actually, this kind of models are attractive to pollution model developers, due to, its versatility in the spatio-temporal variables; but nobody has tried to use it with compositional data yet. The main differences between a conventional model and two CoDa models (with two sequential binary partition, SBP) were analyzed. The first SBP was proposed by pollutants relationship interpretation, and the second one was imposed as standard SBP (R studio). Initially the conventional temporal model is used to predicting pollution levels to fill missing data or predicting pollution levels on future days. The application of compositional data theory in conventional temporal air quality models allowed to obtain acceptable quality models, whose results were adjusted to the observed values. Nash-Sutcliffe Efficiency Index (NSE) and root- mean-square error (RMSE), were used to evaluating the model quality and fitted values respectively.
Audio Features & Neural Network

: The main idea is to talk about the common features used while analyzing audio files. The features discussed are mel frequency cepstral coefficient, zero crossing rate, spectral roll off, spectral centroid and chroma features. Along with the audio features mentioned before, we have also explained about activation function and convolutional neural networks.
Syntheses of Biradicals for Surface Studies by DNP ssNMR

Dynamic nuclear polarization (DNP) is a method that can be used to increase signal intensities in nuclear magnetic resonance (NMR) spectroscopy. This is usually attained by doping the sample of interest with a paramagnetic polarizing agent, such as a stable organic radical. The high electron polarization of the radical is then transferred to the nuclei of the sample by irradiating electron-nuclear transitions, resulting in increased NMR signal intensities. In this work, two different types of biradical nitroxide spin labels for solid-state DNP NMR experiments are introduced. A novel sulfhydryl-specific spin label for proteins was developed, synthesized and covalently attached to proteins. Four biradicals for immobilization on surfaces of materials have also been prepared. These radicals have different functional groups and the various methods used for coupling them to different surfaces are described. Finally, radicals that might be useful for studying surfaces of nanoparticles are reported. Evaluation of the DNP properties of all radicals is in progress.