Miracle-dz/UniFAR-FTUs huggingface dataset:
Phylogeography and genetic diversity of the common snipe Gallinago gallinago Linnaeus, 1758 in the Palearctic according to the data of the mtDNA

There are practically no studies on the genetic diversity and phylogeography of the common snipe. At the same time, there is a lot of research in this field for a number of other species of waders. It is known that comparison of phylogeographic data on the widest possible range of species that have an assumed common evolutionary history due to the influence of similar biogeographic, geological and climatic factors is necessary to establish the factors of similarity or differences in the patterns of formation and dynamics of their ranges, the patterns (regularities) of the formation of the population genetic structure. Thereby the goal of this article is to get data on the phylogeography of the common snipe in the Palearctic. The mtDNA control region is used as a genetic marker. As the result of analyzing data on polymorphism of mtDNA control region of common snipe, we have found out that its population is characteristic of low genetic diversity and genetic homogeneity. Also it has been shown that there are some signs of distinct genetic line of common snipe present at the easternmost part of its range in the Palearctic.
A comparative study on RIPASA and modified Alvarado score in the diagnosis of acute appendicitis in tertiary care hospital

A differential diagnosis must include virtually every acute pain within the abdomen. Ectopic pregnancy is one of the differential diagnosis associated with an urgent intervention. Acute Appendicitis is associated with very high morbidity, mortality. These are increased with diagnostic delay. Abdominal ultrasonography (USG) and computed tomography (CT) are the advanced radiological imaging methods used for making a quick and accurate diagnosis. ABSTRACT
Entrepreneurship and Economic Diversification in Nigeria: The Moderating Influence of Enabling Environment on Global Satellite Mobile Village’s Experience

This study investigated “Entrepreneurship and Economic Diversification in Nigeria: The Moderating influence of Enabling Environment on Global Satellite Mobile Village’s Experience. ” The purpose was to find out the relationship between entrepreneurship and economic diversification with focus on the moderating influence of enabling environment. A cross-sectional survey design and convenience sampling technique were adopted. Pilot survey and confirmatory factor analysis were carried out to validate the research instrument. The reliability test of the instrument yielded a value of 0.67 which more than met Bagozzi and Yi’s benchmark of α ≥ 0.50 and as such, was accepted as adequate and used. Primary data were obtained from 127 copies of questionnaire issued out of which 120 copies representing 94% return rate were retrieved and used in the study. Pearson’s Product Moment Correlation Coefficient was used to analyse the data aided by Statistical Package for Social Sciences (SPSS) version 25.0. The findings showed that there was no significant relationship between entrepreneurship and economic diversification. However, the enabling environment had significant moderating influence on the relationships between entrepreneurship and economic diversification. These findings informed the conclusion that enabling environment moderates the relationship between entrepreneurship and economic diversification. It is recommended that further empirical study be carried out in other segments of the economy with more factors to corroborate or diverge from these outcomes. Moreover, government should create cultural awareness, deploy resources to diversify the economy via entrepreneurship and free itself from the Dutch disease of resource curse theory.
Tri-Band Slot-Loaded Microstrip Antenna for Internet of Things Applications

A new design of a multiband microstrip patch antenna using slots in the patch as well as defected ground structures (DGS) implemented in the ground plane is proposed. Multi resonance response was obtained by etching the DGS shapes in the ground plane of a traditional patch operates at 5.2 GHz, which is the common frequency for the Internet of Things (IoT) applications. The novel outcome of this work is a compact antenna that resonates at three bands, viz. 2.42, 5.22 and 5.92 GHz. Different shapes of slots were used to improve the antenna performance at the different resonances. The antenna uses the inset feeding technique to improve impedance matching. Rogers RO3003 substrate of 3 relative dielectric constant, 0.0013 loss tangent, and 1.5 mm thickness is used to build the antenna. The designed antenna is simulated using HFSS software. The good consistency between simulations and measurements confirms the antenna's ability to improve the benefits for IoT applications at three different frequencies.
The Effect of Demographic Factors on Intentions to Buy Domestic Products: Evidence from Indonesian Consumer

Free trade agreement between Indonesia and other countries created a threat for domestic entrepreneurs. Domestic products must face more intense competition in their own domestic markets because the Indonesian market is filled with imported products. This research aims to understand the effect of Indonesian consumer demographics on intentions to buy domestic products. This research decrypted the intentions of Indonesian to purchase domestic products based on demographic factors. The research method was a survey using a questionnaire. Samples were taken using judgment-sampling. There were 204 respondents involved in this research. This research found that Indonesian consumers' gender and income influenced their intentions to buy domestic products. In contrast, age and education did not affect their intentions to buy domestic products.
INTERRELATIONSHIPS OF PERSONAL VALUES: A MODERATED MEDIATION ANALYSIS BASED ON GENDER AND AGE

The present study describes ten personal values expressed by men and women from two countries, and it explores the relationships between two opposing values, Achievement and Benevolence, specifying Stimulation as a mediator between them. It is further explored whether such a mediation model could be further qualified by age and Gender as moderators. The 40-item Portraits Values Questionnaire (PVQ), measuring ten basic values, was administered to 1,000 young adults from two countries. Hierarchical regression methods were applied to examine mediation and moderation mechanisms.Minor gender and country differences emerged for some of the ten basic values. An indirect relationship among the three selected values was identified. Stimulation was found to operate as a mediator between achievement and benevolence. A conditional process model was established with Gender moderating the Achievement – Stimulation path (men had a steeper slope than women), whereas age moderated the Stimulation – Benevolence path (younger individuals had a steeper slope than older ones). Gender also moderated the Achievement – Benevolence path (men had a steeper slope than women). For men, the association between achievement and stimulation was stronger than for women. For the younger persons, the association between stimulation and benevolence was stronger than for older ones. For women, the level of benevolence was independent of their achievement level. The present analyses shed new light on indirect and differential associations among personal values, adding a novel perspective to research on cognitive mechanisms involved in the ten basic values’ becoming.
Perbandingan Performa Pre-Trained Classifier dLib dan HAAR Cascade (OpenCV) Untuk Mendeteksi Wajah

— Face detection is a part of Computer Vision and subsection of the detection of objects. Computer Vision is defined as the branch of science that studies how the computer can recognize an object. Face detection is not yet implemented on the learning environment. Currently, the attendace process is still using paper and cheating can occur. In this final project will compare the two pre-trained classifier applied to the learning environment by using datasets IBAtS. Two pre-trained classifier to compare performance is haar cascade and dlib. To find the best classifier then two classifier evaluation is done in order to better compareable. From the results of the evaluations already carried out have been inferred that haar cascade is a good classifier for applied learning environment.
Evaluation of Maize (Zea mays L.) Hybrids for Economic Heterosis under Different Soil Moisture Regimes at North Eastern Plain Zone of India

The present experiment was conducted to understand the effect of soil moisture status on the economic or standard heterosis in fifty maize hybrids for grain yield and flowering traits. The trials were planted at Agricultural Research Farm, Banaras Hindu University, Varanasi in alpha-lattice design with two replications. The analysis of variance revealed the significant differences for grain yield and flowering related traits such as days to 50% anthesis, days to 50% silking and anthesis-silking interval under all the moisture conditions including optimal, managed drought and managed waterlogging conditions. Significant amount of heterosis was observed over the selected check P3502 for all the traits under study; however, the magnitude and direction varied with traits and with soil moisture level. For days to 50% anthesis, hybrids ZH17192, VH112926, VH123021, ZH114250, ZH16929 and ZH16930 were showed significant negative heterosis under all the moisture conditions that explained earliness under both moisture-stress and normal conditions. Among the tested hybrids, VH123021 and ZH16929 were recorded significant negative standard heterosis for flowering traits; and significant positive heterosis for grain yield under all the three moisture conditions. Six hybrids under drought, seven hybrids under optimal and two hybrids under waterlogged condition showed positive standard heterosis for grain yield. Further evaluation of these hybrids at multi-locations and multi-year is advisable to confirm the promising findings observed in our study. This study could be valuable for development of climate-resilient maize hybrids.
The Effect of Tin on PECVD-Deposited Germanium Sulfide Thin Films for Resistive RAM Devices

Resistive RAM is a promising, relatively new type of memory with fast switching characteristics. Metal chalcogenide films have been used as the amorphous semiconductor layer in these types of devices. The amount of crystallinity present in the films may be important for both reliable operation and increased longevity of the devices. Germanium sulfide films can be used for these devices, and a possible way to tune the crystalline content of the films is by substituting Sn for some of the Ge atoms in the film. Thin films of GexSnySz containing varying amounts of tin were deposited in a plasma enhanced chemical vapor deposition reactor. Films with 2%, 8%, 15%, 26%, and 34% atomic percentage Sn were deposited to determine crystallinity and structural information with XRD and Raman spectroscopy. Based on these depositions it was determined that at about 8% Sn content and below, the films were largely amorphous, and at about 26% Sn and above, they appeared to be largely crystalline. At 15% Sn composition, which is between 8% and 26%, the film is more a mixture of the two phases. Based on this information, current-voltage (IV) curves of simple memory switching devices were constructed at 5% Sn (in the amorphous region), at 25% Sn (in the crystalline region), and at 15% (in the mixed region). Based on the IV curves from these devices, the 15% composition gave the best overall switching behavior suggesting that a certain degree of order in the semiconductor layer is important for RRAM devices.
Cardiovascular Risk in Patients who go to the Medical Office of a Private Health Center in North Lima

A R T I C L E I N F O A B S T R A C T Article history: Received: 03 August, 2020 Accepted: 12 January, 2021 Online: 30 January, 2021 Cardiovascular diseases are the group of conditions produced in the heart or blood vessels. This is one of the main causes of death in Peru and the world, produced mostly by noncommunicable diseases and harmful habits, which makes it an extremely predictable disease. These factors include body mass index, smoking, diabetes, age, blood pressure, total cholesterol, and high-density lipoproteins. Therefore, this study aims to identify patients who go to the medical office of a private health center in North Lima who do not have a prior history of a cardiovascular accident, using the cardiovascular risk calculator provided by the Organization World Health. The present research work had a quantitative, nonexperimental, descriptive, and cross-sectional approach, in a population of 99 adult and elderly patients. Regarding the results, it was found that 46.5% presented a low cardiovascular risk, 37.4% a moderate risk, 11.1% a high risk and 5.1% an extremely high risk. The information found contrasts with the number of deaths caused by this disease and may be an indicator of greater prevention by populations with higher economic income. Finally, it is concluded that diabetes, smoking and the age group are predisposing factors to an increased cardiovascular risk.
Using redundant ancilla encoding and flags for very low overhead fault-tolerant magic state preparation

The overhead cost of performing universal fault-tolerant quantum computation for large scale quantum algorithms is very high. Despite several attempts at alternative schemes, magic state distillation remains one of the most efficient schemes for simulating non-Clifford gates in a fault-tolerant way. However, since magic state distillation circuits are not fault-tolerant, all Clifford operations must be encoded in a large distance code in order to have comparable failure rates with the magic states being distilled. In this work, we introduce a new concept which we call redundant ancilla encoding. The latter combined with flag qubits allows for circuits to both measure stabilizer generators of some code, while also being able to measure global operators to fault-tolerantly prepare magic states, all using nearest neighbor interactions. In particular, we apply such schemes to a planar architecture of the triangular color code family. In addition to our scheme being suitable for experimental implementations, we show that for physical error rates near 10−4 and under a full circuit level noise model, our scheme can produce magic states using an order of magnitude fewer qubits compared to the most competitive magic state distillation schemes. Further, we can take advantage of the fault-tolerance of our circuits to produce magic states with very low logical failure rates using encoded Clifford gates with noise rates comparable to the magic states being injected. Consequently, we believe our scheme to be suitable for implementing fault-tolerant universal quantum computation with hardware currently under development.
Towards a Comprehensive Understanding of Bipolar Disorder: In Vivo MRS Investigation of the Phosphatidylinositol Cycle

At present, both the neuropathophysiology of bipolar disorder as well as the mechanism(s) through which current mood-stabilizing agents provide symptom relief are unknown. Through the recent utilization of magnetic resonance spectroscopy (MRS), progress has been made; with optimistic interest being focused on the phosphatidylinositol (PI) cycle as a likely neuropathophysiological factor in bipolar disorder. The present manuscript reviews this interesting and promising area, placing emphasis on the magnetic resonance spectroscopy investigations of PI- cycle function in bipolar disorder reported to date. While relatively few well-designed MRS studies have investigated PI-cycle function in bipolar disorder, current evidence does lend support to PI-cycle involvement in bipolar neuropathophysiology as a means through which mood-stabilizing agents act; pointing to PI-cycle dysfunction as an important neuropathophysiological factor in bipolar disorder. However, there still remains a dearth of information about this interesting hypothesis. In addition to lithium, more data is needed regarding the effects on PI-cycle function of the other commonly prescribed mood-stabilizing agents. As well, studies investigating the temporal relationship between medication effect on PI-cycle functioning and symptom improvement are warranted. In tandem with clinical MRS investigation of bipolar disorder, further preclinical study of the neurochemical effects of mood-stabilizing agents is needed. Finally, greater methodological rigor needs to be implemented during the design phase of any future MRS investigation into bipolar disorder, with particular attention aimed at recruiting a large homogenous sample of bipolar patients.
Mixing time and power consumption for a liquid in a vertical cylindrical vessel, shaken in a horizontal circle

Shake mixing has been widely used in cell culture. The mixing performance for shake mixing, however, has not been reported quantitatively. The mixing time, flow pattern and power consumption are measured in a vessel shaken in a horizontal circle. The minimum rotational shaking as circulating frequency N C for complete mixing in a shaking vessel has been observed. This is referred to as the critical circulating frequency for complete mixing. N C was empirically correlated with the Reynolds number (Re=Nd 2 /v) and Froude number (Fr=N 2 D/g), where D and d were the vessel diameter and the circulating diameter, respectively. The observed flow patterns were categorized into two types, i.e., the progressive wave type (N≤N C or N≥N max,p ) and the rotational flow type (N C ≤N≤N max,P ). Complete mixing was not achieved with the progressive wave flow, but it was achieved with the rotational flow in the following region: 0.135Re -0.176 1). The power consumption in a shaking vessel was measured with a wattmeter. Power number N p (=P/ρN 3 D 5 ) was correlated with Re, Fr and d/D, as N P =934Fr 3/2 Re -1/4 (d/D) 3/2 . The mixing time during vessel shaking was slightly longer than with a rotating impeller at the same power consumption per unit volume.
Preparation and characterization of attapulgite microcapsules coated with acrylic polymer

The attapulgite core-shell microcapsule type flame retardant was prepared by in situ polymerization. Attapulgite (ATP) was used as a core material with poly(methyl methacrylate) (PMMA) and poly(methyl methacrylate-co-acrylic acid) [P(MMA-co-AA)] as shell materials. The attapulgite was modified by the silane coupling agent. The effects of different shell materials and modification methods on the structure and properties of attapulgite core-shell microcapsules were studied by scanning electron microscopy, particle size distribution, infrared analysis and thermogravimetric analysis. The results showed that the coating effect was best when the amount of silane coupling agent was 1% of the attapulgite mass. The particle size of the microcapsule prepared with PMMA as shell material was uniform and the coating efficiency was better. After the copolymerization of acrylic acid (AA) in MMA shell materials, the cladding efficiency was improved. At the same time, the thermal decomposition temperature of the microcapsule shell material was greatly reduced, which is beneficial to the performance of attapulgite flame retardant.
The interaction of molecular oxygen on LaO terminated surfaces of La2NiO4

Rare-earth metal oxides with perovskite-type crystal structures are under consideration for use as air electrode materials for intermediate to high temperature electrochemical device applications. The surface chemistry of these materials plays a critical role in determining the kinetics of oxygen reduction and exchange reactions. Among various perovskite-structured oxides, certain members of the Ruddlesden–Popper series, e.g. La2NiO4, have been identified as significantly active for surface oxygen interactions. However, the challenge remains to be the identification of the structure and composition of active surfaces, as well as the influence of these factors on the mechanisms of surface exchange reactions. In this contribution, the changes in the electronic structure and the energetics of oxygen interactions on the surfaces of La2NiO4 are analysed using first principles calculations in the Density Functional Theory (DFT) formalism. As for the surface chemistry, LaO termination rather than NiO2 termination is presumed due to recent experimental evidence of the surfaces of various perovskite structured oxides after heat treatment in oxidizing environments being transition metal free. Our findings substantiate the fact that the LaO-terminated surface can indeed participate in the formation of surface superoxo species. Detailed charge transfer analyses revealed that it is possible for such a surface to be catalytically active owing to the enhanced electronic configurations on the neighbouring La sites to surface species. In addition, positively charged oxygen vacancies, relative to the crystal lattice, can act as active sites and catalyse the O–O bond cleavage.
The impact of regulation governance on financial system efficiency: The importance of consumer behavior

How to cite this paper: von Borowski Dodl, A. (2021). The impact of regulation governance on financial system efficiency: The importance of consumer behavior. Risk Governance and Control: Financial Markets & Institutions, 11(1), 80-93. https://doi.org/10.22495/rgcv11i1p6 Copyright © 2021 The Author This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). https://creativecommons.org/licenses/
REVIEW ON DEEP LEARNING APPROACH FOR BRAIN TUMOR GLIOMA ANALYSIS

Brain tumor diagnosis has evolved as a very critical need in current medical diagnosis. Early diagnosis of tumor detection is an important need for the primitive treatment of brain tumor patient increasing the survival rate of patient. MRI diagnosis of brain tumor for cancer treatment is a large processing due to volumetric content of scan sample. The processing of clinical data is large and consumes a high processing time. Hence, the need of early diagnosis and proper segmentation of brain tumor region is in need. This paper outlines a review on the developments of MRI sample processing for early diagnosis for brain tumor glioma diagnosis using deep learning approach. The advantage of learning capability and finer processing efficiency has gained an advantage in MRI image processing, which enable a better processing efficiency and accuracy in early diagnosis. Deep learning approach has shown a benefit of image coding based on selective features and state of art processing in diagnosis. The evaluation objective of the MRI sample processing has shown a better accuracy than the comparative existing approaches. The recent trends, the advantages and limitation of the existing approach for MRI diagnosis is outlined.
The Effect of Running Exercise on some Novel Atherosclerosis Risk Factors in Middle Aged Men

Background: Fibrinogen, CRP and resistin are three novel cardiovascular risk factors. The aim of this study was to examine the effects of an eight weeks' aerobic exercise program on concentrations of these factors in healthy and overweight middle-aged men.Methods: Thirty inactive middle-aged men whom their BMI was between 25 and 30 were randomly assigned into experimental and control groups (each group 15 participants). Participants of the experimental group accomplished eight weeks (three sessions per week) aerobic exercise with intensity of 50 to 70 percent of their maximum heart rate. Weight, body fat percent, fibrinogen, CRP and resistin level of participants were recorded before and after the trainings. Obtained data were analyzed using independent samples T test.Results: After trainings results showed a significant reduction of weight (P=0/000), BMI (P=0/000), body fat percent (P=0/002), fibrinogen (P=0/000) and CRP (P=0/000) and significant elevation of resistin (P=0/000) in the experimental group (P≤0.05). Conclusion: Overall, eight weeks regular aerobic training decreases atherosclerosis risk through reduction of weight, body fat, fibrinogen and CRP.