Miracle-dz/UniFAR-FTUs huggingface dataset:
FATE OF IMPORTANT MEDICINAL PLANTS IN THE EASTERN HIMALAYA IN CHANGING CLIMATE SCENARIOS: A CASE OF PANAX PSEUDOGINSENG WALL.

Monitoring the impact of climate change on forest ecosystems, particularly at the species level, can be currently observed in many parts of the world. In this study, Maxent species distribution modelling algorithm was used to predict the suitable habitat for the medicinally important species; Panax pseudoginseng in Sikkim Himalaya. The nineteen bioclimatic variables from Worldclim database were used to predict the current potential distribution. Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 scenarios of IPCC 5 assessment was used for predicting the future distribution of species in 2050 and 2070. The Maxent model performed better than random with an average test AUC (Area under Curve) value 0.927 under the predicted current distribution. The projected distribution in future under the both RCPs scenarios showed upward shift of species (i.e., gain in suitable habitat area) in high elevation area over the years of 2050 and 2070. Areas with suitable climatic conditions predicted to decline by the 2050s and the 2070s under both RCP scenarios. The application of predictive Maxent modelling approach presented here may provide policymakers and conservationists, with a useful tool for prediction of species in future climate with only presence distribution records and therefore, can be an effective approach for species restoration and conservation actions.
UTILIZING PROCESSED RECORDS OF PATIENT´S SPEECH IN DETERMINING THE STAGE OF PARKINSON´S DISEASE

The medical procedures for disease diagnostics are significantly demanding and time-consuming. Data mining methods can accelerate this process and assist doctors in making decisions in complex situations. In case of Parkinson ́s disease (PD), the diagnostics of the initial disease stage is the primary issue since the symptoms are not so unambiguous and easily observable. Therefore, this article is focused on determining the actual stage of PD based on the data recording signals of patient ́s speech using decision trees (C4.5, C5.0 and CART). Methods such as RandomForest, Bagging and Boosting were also employed to improve the existing classification models. Estimation of model accuracy was achieved by using k-fold cross-validation and validation with omission of one record (Leave-one-out). In addition, experiments were also performed to remove collinearity in data by computing the Variance inflation factor (VIF) in order to increase the accuracy of the models.
A Framework for Higher-Order Modal Logic Theorem Proving

Modal logic is a formalism suitable for modelling problems in artificial intelligence, computer science, philosophy and many other disciplines. Its automation in all its flavours can easily be achieved employing the semantic embedding approach and reusing existing reasoning software: This thesis presents a procedure that encodes a problem of higher-order modal logic in higher-order logic which is implemented in the Modal Embedding Tool for the input language TPTP THF which was extended for this purpose. By combining this software with one or more compliant reasoners a competitive system is created that can handle countless more variants of modal logic than any other theorem prover available to date.
Minimizing Frauds on the Indonesian Islamic Banks

This paper examines the issue of fraud and discusses two ways to minimize frauds in Indonesian Islamic banks; they are compliance to sharia principles in muamalah and profit distribution management by Islamic bank managers to fulfill their obligation to their customers. By observing eight Islamic banks from 2013 to 2017, a total of 40 data were collected from the banks’ websites, and they were analyzed using Sobel test. The results show that sharia compliance and profit distribution management are able to minimize frauds, and profit distribution management mediate the influence of sharia compliance on fraud.
The Effects of Voluntary Disclosure, Audit Tenure and Audit or Specialization on Information Asymmetry with Audit Committee as A Moderating Variable in Banking Companies Registered in Indonesia Stock Exchange

This research entitled the effects of voluntary disclosure, audit tenure and auditor specialization on information asymmetry with audit committee as a moderating variable in banking companies registered in Indonesia Stock Exchange. The aim of this study was to obtain the empirical evidence about the effects of voluntary disclosure, audittenure and auditor specialization on information asymmetry with audit committee as a moderating variable. The data collection applied a census method conducted in banking companies registered in Indonesia Stock Exchange (ISE) in 2010-2016. The sample was 28 banking companies. This study useda panel data due to the combination of time series data with cross section. The results showed that voluntary disclosure and audit tenure had a negative effect on information asymmetry, whereas auditor specialization had a positive effect on information asymmetry and audit committee was able to moderate the effect between voluntary disclosure and auditor specialization on information asymmetry by strengthening its influence while the audit committee was moderated by weakening its influence.
Understanding the effects of climate warming on streamflow and active groundwater storage in an alpine catchment: the upper Lhasa River

Abstract. Climate warming is changing streamflow regimes and groundwater storage in cold alpine regions. In this study, the Yangbajain headwater catchment in the Lhasa River basin is adopted as the study area to assess streamflow changes and active groundwater storage in response to climate warming. The results show that both annual streamflow and the mean air temperature increase significantly at respective rates of about 12.30 mm per decade and 0.28 ∘C per decade from 1979 to 2013 in the study area. The results of gray relational analysis indicate that the air temperature acts as a primary factor for the increased streamflow. Due to climate warming, the total glacier volume has retreated by over 25 % during the past 50 years, and the areal extent of permafrost has degraded by 15.3 % over the last 20 years. Parallel comparisons with other subbasins in the Lhasa River basin indirectly reveal that the increased streamflow at the Yangbajain Station is mainly fed by the accelerated glacier retreat. Using baseflow recession analysis, we also find that the estimated groundwater storage that is comparable with the GRACE data increases significantly at rates of about 19.32 mm per decade during the abovementioned period. That is to say, as permafrost thaws, more spaces have been made available to accommodate the increasing meltwater. Finally, a large water imbalance (of more than 5.79×107 m3 a−1) between the melt-derived runoff and the actual increase in runoff as well as the groundwater storage is also observed. The results from this study suggest that the impacts of glacial retreat and permafrost degradation show compound behaviors on the storage–discharge mechanism due to climate warming, and that this fundamentally affects the water supply and the mechanisms of streamflow generation and change.
Validating LES for Jet Aeroacoustics

Engineers charged with making jet aircraft quieter have long dreamed of being able to see exactly how turbulent eddies produce sound and this dream is now coming true with the advent of large eddy simulation (LES). Two obvious challenges remain: validating the LES codes at the resolution required to see the fluid-acoustic coupling, and the interpretation of the massive datasets that are produced. This paper addresses the former, the use of advanced experimental techniques such as particle image velocimetry (PIV) and Raman and Rayleigh scattering, to validate the computer codes and procedures used to create LES solutions. This paper argues that the issue of accuracy of the experimental measurements be addressed by cross-facility and cross-disciplinary examination of modern datasets along with increased reporting of internal quality checks in PIV analysis. Further, it argues that the appropriate validation metrics for aeroacoustic applications are increasingly complicated statistics that have been shown in aeroacoustic theory to be critical to flow-generated sound, such as two-point space-time velocity correlations. A brief review of data sources available is presented along with examples illustrating cross-facility and internal quality checks required of the data before it should be accepted for validation of LES.
CPAA_A_206615 77..92

JA Gilreath L Tchertanov MW Deininger 1Department of Pharmacotherapy, College of Pharmacy and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; 2Centre de Mathématiques et de Leurs Applications (CMLA-CNRS), ENS Paris-Saclay, Cachan 94235, France; 3Division of Hematology and Hematologic Malignancies and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA Abstract: Mastocytosis is a myeloproliferative neoplasm characterized by expansion of abnormal mast cells (MCs) in various tissues, including skin, bone marrow, gastrointestinal tract, liver, spleen, or lymph nodes. Subtypes include indolent systemic mastocytosis, smoldering systemic mastocytosis and advanced systemic mastocytosis (AdvSM), a term collectively used for the three most aggressive forms of the disease: aggressive systemic mastocytosis, mast cell leukemia, and systemic mastocytosis with an associated clonal hematological non-mast cell disease (SM-AHNMD). MC activation and proliferation is physiologically controlled in part through stem cell factor (SCF) binding to its cognate receptor, KIT. Gain-of-function KIT mutations that lead to ligand-independent kinase activation are found in most SM subtypes, and the overwhelming majority of AdvSM patients harbor the KIT mutation. Several approved tyrosine kinase inhibitors (TKIs), such as imatinib and nilotinib, have activity against wild-type KIT but lack activity against KIT. Midostaurin, a broad spectrum TKI with activity against KIT, has a 60% clinical response rate, and is currently the only drug specifically approved for AdvSM. While this agent improves the prognosis of AdvSM patients and provides proof of principle for targeting KIT as a driver mutation, most responses are partial and/or not sustained, indicating that more potent and/or specific inhibitors are required. Avapritinib, a KIT and PDGFRα inhibitor, was specifically designed to inhibit KIT. Early results from a Phase 1 trial suggest that avapritinib has potent antineoplastic activity in AdvSM, extending to patients who failed midostaurin. Patients exhibited a rapid reduction in both symptoms as well as reductions of bone marrow MCs, serum tryptase, and KIT mutant allele burden. Adverse effects include expected toxicities such as myelosuppression and periorbital edema, but also cognitive impairment in some patients. Although considerable excitement about avapritinib exists, more data are needed to assess long-term responses and adverse effects of this novel TKI.
Solid-State Synthesis and Thermoelectric Properties of Tetrahedrites Cu12Sb4-yBiyS13

Tetrahedrite has low lattice thermal conductivity because of the lone-pair electrons of Sb, which cause the Cu atoms to vibrate at a low frequency and high amplitude. The synthesis of tetrahedrite compounds by conventional melting methods requires a long-time reaction and annealing. However, a homogeneous and solid-state synthesis can be conducted in a short time using mechanical alloying (MA) because the volatilization of the constituent elements is inhibited and a subsequent heat treatment is not necessary. In this study, Bi-doped tetrahedrites Cu12Sb4-yBiyS13 (y = 0-0.4) were prepared by MA and hot pressing. X-ray diffraction analyses revealed that all specimens consisted of single-phase tetrahedrite. However, with increasing Bi content, skinnerite Cu3SbS3 was detected. The electrical conductivity increased and the Seebeck coefficient deceased with increasing Bi content as result of the substitution of Bi at Sb sites. In addition, the thermal conductivity increased as the Bi content increased because of the increase in electronic thermal conductivity. A high dimensionless figure of merit of 0.88 was obtained at 723 K for Cu12Sb3.9Bi0. 1S13.
Increased carotid stiffness detected by ultrafast ultrasound imaging is associated with the Gensini score.

AIM To test the ability of carotid stiffness evaluated by using ultrafast ultrasound imaging to indicate coronary atherosclerosis and its association with the severity of coronary artery disease (CAD). MATERIAL AND METHODS This cross-sectional study included 131 patients with CAD and 60 normal controls. Carotid intima-media thickness (cIMT) was measured by two-dimensional ultrasound. Carotid stiffness was determined by ultrafast ultrasound imaging, with which the carotid pulse wave velocity at the beginning (PWVBS) and end (PWVES) of systole were calculated. Gensini scores based on coronary angiography were used to estimate the severity of CAD. RESULTS Compared with normal controls, the CAD patients had higher carotid diameters, cIMT, PWVBS and PWVES (p < 0.05). In the CAD group, Gensini scores correlated significantly with cIMT, PWVBS and PWVES (r = 0.279, p = 0.001; r = 0.661, p < 0.001; r = 0.620, p < 0.001; respectively). The multivariate analysis further indicated that PWVBS, PWVES and body mass index were independently associated with the Gensini score (β = 0.466, p < 0.001; β = 0.308, p < 0.001; and β = 0.209, p = 0.001; respectively). In addition, the sensitivity and specificity were 54% and 83%, respectively, for PWVBS (cutoff value, 6.9 m/s; area under the receiver operating characteristic curve, 0.70) and 64% and 83%, respectively, for PWVES (cutoff value, 8.0 m/s; area under the curve, 0.73). CONCLUSIONS Increased carotid PWVBS and PWVES detected by ultrafast ultrasound imaging as indices of carotid stiffness might serve as promising indicators for CAD and its severity.
Modeling of Starting Transition Processes of Asynchronous Motors with Reduced Voltage of the Supply Network

Received: 17 September 2019 Accepted: 15 December 2019 Asynchronous machines are widely used in various industrial machines and devices. These engines are reliable and easy to use. In developed countries AC electric drives with asynchronous machines consume approximately 60% of the total electricity generated. Therefore, research in this direction is considered an urgent and highly demanded task. The article considers the main advantages and disadvantages of asynchronous machines, analyzes the starting negative factors of asynchronous machines, conducts computer simulation of the starting regimes of asynchronous machine with redused voltage network, clearly shown the simulation results of the main parameters of asynchronous machines as speed, current and electromagnetic torque. Also the result of simulation shown mechanical characteristics of the asynchronous machine at redused voltage supply network. The main research methods in this scientific work were carried out by means of mathematical and computer modeling, and more precisely with the help of the MATLAB program. The novelty of the article is a deep analysis of the influence of the mains voltage on the parameters of the asynchronous machine and the determination of the exact critical values of the mains voltage at which the start of the asynchronous machine will be impossible.
Industrial Dye Process Monitoring using Wireless Node Communication

Dyeing is a process in which color is transferred to a finished fabric material to add permanent and long-lasting color. The dye is generally applied in two ways. One is by steaming and other is by soaking in cold water. Typically in steaming process, the steam is passed to provide rapid heating which fixes the dye molecules from the thickener film to the fibre within a reasonable time. The temperature of the steam must be maintained within a range. The proper transfer of dye color can be achieved by maintaining the pH. If pH level tends to exceed the span then an uneven spread of dye is observed on the fabric cloth. Currently monitoring of these parameters in small firms are done through wired networks, which can sometime cause communication failures where even in some cases the problem remain unidentified. By using Wireless Node Communications, the main process parameters are monitored and the unidentified errors in the current method are eliminated in a highly reliable efficient way.
The AOTF-based NO2 camera

The abundance of NO2 in the boundary layer relates to air quality and pollution source monitoring. Observing the spatiotemporal distribution of NO2 above welldelimited (flue gas stacks, volcanoes, ships) or more extended sources (cities) allows for applications such as monitoring emission fluxes or studying the plume dynamic chemistry and its transport. So far, most attempts to map the NO2 field from the ground have been made with visible-light scanning grating spectrometers. Benefiting from a high retrieval accuracy, they only achieve a relatively low spatiotemporal resolution that hampers the detection of dynamic features. We present a new type of passive remote sensing instrument aiming at the measurement of the 2-D distributions of NO2 slant column densities (SCDs) with a high spatiotemporal resolution. The measurement principle has strong similarities with the popular filter-based SO2 camera as it relies on spectral images taken at wavelengths where the molecule absorption cross section is different. Contrary to the SO2 camera, the spectral selection is performed by an acoustooptical tunable filter (AOTF) capable of resolving the target molecule’s spectral features. The NO2 camera capabilities are demonstrated by imaging the NO2 abundance in the plume of a coal-fired power plant. During this experiment, the 2-D distribution of the NO2 SCD was retrieved with a temporal resolution of 3 min and a spatial sampling of 50 cm (over a 250× 250 m2 area). The detection limit was close to 5× 1016 molecules cm−2, with a maximum detected SCD of 4× 1017 molecules cm−2. Illustrating the added value of the NO2 camera measurements, the data reveal the dynamics of the NO to NO2 conversion in the early plume with an unprecedent resolution: from its release in the air, and for 100 m upwards, the observed NO2 plume concentration increased at a rate of 0.75–1.25 g s−1. In joint campaigns with SO2 cameras, the NO2 camera could also help in removing the bias introduced by the NO2 interference with the SO2 spectrum.
Swapping And Abduction Detection of Infants

- This paper explains the development of a prototype to avoid swapping and abduction of infants. Fingerprint and Footprint verification is an important biometric technique for authentication. Thus, hardware used is ATMEGA controller. The project Implementation of feature extraction of finger vein and footprint in ATMEGA controller has been discussed. The Ardunio Mega 2560 is a microcontroller board based on the ATmega2560. It enhances performance, consumes less power, and reduces overall system cost and size. Minutiae extraction for finger vein and PCA features for footprint using MATLAB is employed. To detect abduction zigbee module is used. In case of any emergency buzzer will turn ON and a SMS with GPS location will be sent to the parents as a warning sign as well as to the hospital in charge. This paper also presents a design of a Baby Health Monitoring System. The system architecture consist of sensors for monitoring vital parameters, LCD screen to display infants condition and location and a sound buzzer to alarm in case of any emergency all controlled by a single microcontroller core.
Prevalence and Treatment for Eating Disorders in Young Athletes

Eating disorders can be tricky disorders to detect, discuss, and treat. Often based in insecurity, individuals struggling with these disorders may already be trying to disappear. Wellknown and keenly felt pressures to look a certain way within society combined with expectations to perform at a certain level and to look as an athlete is supposed to look can result in a high-risk situation for many adolescents. With these pressures looming, eating disorders may be justified to reach misguided goals. This is obviously problematic because eating disorders have one of the highest morality rates among mental health issues. Research on the prevalence of young athletes exhibiting disordered eating and the steps for treatment has been reviewed in hopes of building knowledge to use while supporting individuals within the counseling field. The rate of disordered eating, risks, causes of such disorders, and potential treatment options are the main focus. Research on the prevalence of eating disorders among adolescent athletes and possible treatment options are reviewed. Additionally, limitations of the literature are discussed, including the oversaturation of research regarding young females with eating disorders and prevalence over treatment focused literature. EATING DISORDERS IN YOUNG ATHLETES 4
Metabolomic alterations associated with Kallmann syndrome

Background This study was conducted to identify potential seminal plasma metabolic markers associated with disease activity in Kallmann syndrome (KS). Methods We collected medical records and seminal plasma samples from 17 KS patients and 20 age-matched healthy controls (HC) and performed metabolomics analysis using the UPLC-QTOF-MS method. Results Partial least squares discriminant analysis (PLS-DA) showed that the metabolomics profile of KS patients was clearly separated from HC. Statistical analysis of the data indicates that there are differential metabolites between KS patients and HC. The main metabolic pathways focus on linoleic acid (LA) metabolism, Glycerophospholipid metabolism. Conclusions The seminal plasma metabolomics profile of KS patients has changed. Glycerophospholipids and LA are promising biomarkers for KS diagnosis.
PELVIC INFLAMMATORY DISEASE (PID): A CROSS SECTIONAL PROSPECTIVE STUDY AT A TERTIARY CARE CENTRE

Introduction : Pelvic inflammatory disease (PID) is an infection of the upper part of the female reproductive system namely the uterus, fallopian tubes, and ovaries, and inside of the pelvis. Objective: to find out the clinical profile of PID in a tertiary care centre. Methods: This was a cross sectional, descriptive study conducted at the Department of Obstetrics and Gynaecology, during period from January to December2016. Total 200 patients complaining of lower abdominal pain, vaginal discharge & having adnexal as well as cervical motion tenderness on bimanual examination between the age group of 18 -45 years were randomly selected for study. Parameters like age, parity, socio-economic status, age of marriage, sexual behavior, Presenting complaints and use of contraceptive were recorded. Results: Most common age group was 20-24 years (29.5%). Maximum number of cases was seen in parity between 2-5 (58%). PID was commonest amongst illiterate women (36%). Maximum number of cases was seen in women from lower socioeconomic class (74%). Out of 200 cases, 79% patients were married, 14% were remarried. Presenting complaints were pain in abdomen (93.5%), per vaginal discharge (66%), fever (51%). Abdominal tenderness was seen in 95% of cases. Palpable mass was present in 11% of cases. Forniceal & cervical motion tenderness were the commonest Per Vaginal examination findings seen in 89% & 84% cases respectively. Conclusion: Incidence of PID was higher in age group between 20-29 years, multipara, women from lower socioeconomic class & illiterate women. Pain in lower abdomen, per vaginal discharge & fever were the commonest complaints. Most of the patients on examination had forniceal & cervical motion tenderness.