Miracle-dz/UniFAR-FTUs huggingface dataset:
FrAnTK: a Frequency-based Analysis ToolKit for efficient exploration of allele sharing patterns in present-day and ancient genomic datasets

Abstract Present-day and ancient population genomic studies from different study organisms have rapidly become accessible to diverse research groups worldwide. Unfortunately, as datasets and analyses become more complex, researchers with less computational experience often miss their chance to analyze their own data. We introduce FrAnTK, a user-friendly toolkit for computation and visualization of allele frequency-based statistics in ancient and present-day genome variation datasets. We provide fast, memory-efficient tools that allow the user to go from sequencing data to complex exploratory analyses and visual representations with minimal data manipulation. Its simple usage and low computational requirements make FrAnTK ideal for users that are less familiar with computer programming carrying out large-scale population studies.
Assessment of Lumbar Extensor Muscles in the Context of Trunk Function, a Pilot Study in Healthy Individuals

A comprehensive assessment of trunk function, including the lumbar extensor muscles, appears to be important in various conditions affecting axial musculature. This pilot cross-sectional observational study aimed to define a battery of tests that comprehensively assess trunk muscle function (strength and muscular endurance). Sixty subjects without low back pain (LBP) underwent measurement of isometric lower back extensor strength using a hand-held dynamometer (HHD) in three positions; measurement of respiratory muscle strength; and Biering-Sørensen, prone-plank, and side-bridge tests. The repeatability, short-term and long-term reliability using the HHD device in different postural positions was confirmed. The greatest isometric lower back extensor strength was generated in the sitting position by male subjects. Time of effort in the Biering-Sørensen test was longer in women and older subgroups than in men and younger individuals, although this was not the case for the other two muscular endurance tests. This pilot monitoring of trunk muscle strength and endurance in healthy volunteers may lead to a better understanding of trunk muscle function. Based on this methodological background, the authors aim to use the defined battery of tests in their further studies in a group of patients with LBP and certain neuromuscular diseases to verify its usefulness in clinical practice.
Hyper Spectral Image Characteristics of Aronia Melanocarpa Leaves under Saline Alkali Stress

Objective: To obtain the characteristics analysis results of aronia melanocarpa leaves under saline alkali stress state and improve yield and quality of aronia melanocarpa. Methods: Using hyper spectral imaging system to obtain hyper spectral images of aronia melanocarpa leaves under saline alkali stress. The clear hyper spectral image is obtained by the conversion of reflectance, spectral envelope removal, and spectral denoising, and final hyper spectral image is obtained by the normalization of a clearer hyper spectral image. Results: Spectral information of aronia melanocarpa leaves under slight saline alkali stress: in the visible band, leaf reflectance is lower than leaf nutrient rich stress condition; in the near infrared band, the nutrient rich leaves was significantly higher than that of stress leaves. Spectral information of leaves under moderate saline alkali stress: spectral reflectance of different lesion spots for a same leaf in 550-680nm band is: severe > moderate > slight > normal, in the near infrared band is on the contrary; spectral reflectance for different lesion grades in 550-680 nm, severe lesion leaves have highest reflectance, and normal leaves have the lowest reflectance. Under severe saline alkali stress, the leaf spectral information is: there is no significant difference in leaf spectral reflectance between the attachment aphid and the damaged leaf, but the difference is obvious for normal leaves in the band of 450-500 nm, 560-680 nm and 750-900 nm. Comparative results analysis for the three of saline alkali stress degree is: the near infrared band of 560-680 nm and the visible band of 780-900 nm is the sensitive band for the diagnosis of three kinds of stress; slight saline alkali stress has the most significant differences at 550 nm, and 780-900 nm; severe saline alkali stress has at 680 nm and 780-900 nm. Conclusion: The proposed method can analyze hyper spectral image characteristics of aronia melanocarpa leaves under different saline alkali stress the condition of is a kind of plant leaves, which is an efficient method for the analysis of characteristics of plant leaves under saline alkali stress.
A Survey on Event Mining A Survey on Event Mining for ICT Network for ICT Network Infrastructure Management Infrastructure Management

Managing large⁃scale complex network infrastructures is chal⁃ lenging due to the huge number of heterogeneous network el⁃ ements. The goal of this survey is to provide an overview of event mining techniques applied in the network management domain. Event mining includes a series of techniques for au⁃ tomatically and effectively discovering valuable knowledge from historical event/log data. We present three research challenges (i.e., event generation, root cause analysis, and failure prediction) for event mining in network management and introduce the corresponding solutions. Event generation (i.e., converting messages in log files into structured events) is the first step in many event mining applications. Automat⁃ ic root cause analysis can locate the faulty elements/compo⁃ nents without the help of experienced domain experts. Fail⁃ ure prediction in proactive fault management improves net⁃ work reliability. The representative studies to address the three aforementioned challenges are reviewed and their main ideas are summarized in the survey. In addition, our survey shows that using event mining techniques can improve the network management efficiency and reduce the management cost. event mining; failure prediction; log analysis; network infra⁃ structure management; root cause analysis
Design with regard to explosions

When designing a construction to be able to withstand the high pressure caused by a shock wave simplifications can be used in order to facilitate the calculations. By literature studies simplified methods used to analyse beams subjected to dynamic loads are compiled and in some cases also compared with FE-analysis in order to verify the results. The method of transforming and reducing deformable structures into single degree of freedom system, giving calculations easy to handle, is discussed in this report. When a beam is simplified into a single degree of freedom system the beam is assumed to have a specific shape of deformation and therefore tabled beam equations can be used in order to estimate the capacity of the beam. The beam equations can be used when the load is either infinity short (impulse load) or infinity long (pressure load). In order to utilize these equations also for arbitrary load durations so called damage curves are used. The behaviour of the structure subjected to dynamic loads can also be analysed by using an equivalent static load, where the impulse load is substituted with a static load that will give deflections corresponding to the ones achieved with the impulse load. The simplified methods discussed above are valid for beams in general but since shelters often are made of reinforced concrete, which have a complex behaviour, these beams and their response to both static and dynamic loads will be studied more in detail. A short and brief review of the minimum requirements when designing shelters due to the Swedish shelter regulation will be done.
DISHONESTY IS CONTAGIOUS: INVESTIGATING THE DOMINO EFFECT OF DYSFUNCTIONAL CUSTOMER BEHAVIORS

ABSTRACT The interaction between dysfunctional customers and other customers can cause the domino effect (i.e., the dissemination of a dysfunctional client’s behavior to other nearby clients). However, it is not understood if this effect will manifest under certain levels of damage to the company. This study thus aims to verify if the amount of damage from the dysfunctional behavior can affect the probability of the domino effect. Through five experimental studies, we prove that the amount of damage influences the likelihood of dysfunctional behavior replication. Moreover, we found that this effect is explained by the acceptability of the dysfunctional behavior. We also identify that a consumer’s ethics level, perception of risk in replicating the behavior, and social distance acts as boundary conditions of the amount of damage effect on the probability of replicating the dysfunctional behavior.
The WRF Developmental Testbed Center: A Status Report

The WRF Developmental Testbed Center (DTC) is a facility where the Numerical Weather Prediction (NWP) research and operational communities interact to accelerate testing and evaluation of new models and techniques for research applications and operational implementation. A key objective of the DTC is to offer the research community an environment that is functionally similar to that used in operations to test and evaluate the WRF modeling system, without interfering with actual day-to-day operations at the operational centers. Since its inception in 2003, the DTC has evolved into a distributed facility with two nodes in Boulder, Colorado: one at the National Center for Atmospheric Research (NCAR) and the second at the Forecast Systems Laboratory (FSL). A third node is planned in Monterey, California at the Naval Research Laboratory (NRL). Staff from the various nodes work closely with each other, as well as with the research and operational communities. This paper provides a summary of the current end-to-end forecast system available at the DTC, recent testing activities, as well as a preview of plans for the coming year.
An Analysis of Differential Privacy Research in Location and Trajectory Data

Location and trajectory data are routinely collected to generate valuable knowledge about users' pattern behavior. However, releasing location data may jeopardize the privacy of the involved individuals. Differential privacy is a powerful technique that prevents an adversary from inferring the presence or absence of an individual in the original data solely based on the observed data. The first challenge in applying differential privacy in location is that a it usually involves a single user. This shifts the adversary's target to the user's locations instead of presence or absence in the original data. The second challenge is that the inherent correlation between location data, due to people's movement regularity and predictability, gives the adversary an advantage in inferring information about individuals. In this paper, we review the differentially private approaches to tackle these challenges. Our goal is to help newcomers to the field to better understand the state-of-the art by providing a research map that highlights the different challenges in designing differentially private frameworks that tackle the characteristics of location data. We find that in protecting an individual's location privacy, the attention of differential privacy mechanisms shifts to preventing the adversary from inferring the original location based on the observed one. Moreover, we find that the privacy-preserving mechanisms make use of the predictability and regularity of users' movements to design and protect the users' privacy in trajectory data. Finally, we explore how well the presented frameworks succeed in protecting users' locations and trajectories against well-known privacy attacks.
The use of honey tokens in database security

Information security is a growing concern for organizations. Data and Information stored in companies’ databases are often considered as one of their most valuable assets; and as a result, ensuring their security is of significant importance. Changes to the IT landscape including remote access for employees, virtualisation, cloud provisioning, mobile devices and the growing interest in Bring Your Own Device (BYOD) are bringing new challenges. Despite huge investments in database security the global statistics for data security indicate that breaches have been on the increase. Also of concern is the fact that when these leaks occur, it can take system administrators weeks and in many cases months before they are aware that a security breach has happened. In this time the damage inflicted by its perpetrators may have reached sizable proportions. Mechanisms such as authentication, privilege management, views, firewalls, intrusion detection tools auditing and logging have become standard database security tools. However, as Maheswari, Sankaranarayanan, (2007) state as the methods of attack increase in number and sophistication, interest in more aggressive forms of defence to supplement existing methods needs to be developed. This paper discusses the use of Honeytokens in database security specifically in addressing the insider threat. A Honeytoken is a digital or information system resource whose value lies in the unauthorized use of that resource. The key to a Honeytoken is that it is enticing, something a hacker views as valuable. It is then integrated into the system and no one should interact with it. Any interaction with a Honeytoken most likely represents unauthorized or malicious activity.
POTENTIAL USES OF THE PEEL AND SEED OF PASSIFLORA EDULIS SIMS F. EDULIS (GULUPA) FROM ITS CHEMICAL CHARACTERIZATION, ANTIOXIDANT, AND ANTIHYPERTENSIVE FUNCTIONALITIES

Objective: Assess the performance of a crude ethanolic extract, a dichloromethane fraction and a hydroalcoholic residue, which are the basis for chemically and biologically characterizing the husk and seed of Passiflora edulis f. edulis, collected in the region and Colombia with a view to determining potential uses. Methods: Agroindustrial residues of gulupa (peel and seed) were analyzed through a bromatological study; subsequently, they were macerated with ethanol (96%). The crude ethanolic extract was partitioned with dichloromethane, leaving a hydroalcoholic residue. The content of total phenols, the composition of phytophenols (high-performance liquid chromatography-mass spectrometry), the total antioxidant capacity using 3-ethyl benzothiazoline-6-sulfonic acid (ABTS●+) and 2,2-diphenyl-1-pyridyl hydrazyl (DPPH●), the oxygen radical absorbance capacity (ORAC), and the ferric reduction power (FRAP) were determined to the extract, the fraction, and the residue. The evaluation of the inhibitory activity of the angiotensin-converting enzyme inhibitor (ACEI) and the cell viability assay with diphenyl bromide 3- (4,5-dimethylthiazole-2-) il) -2,5-tetrazolium on human leukocytes complemented the characterization. Results: Agroindustrial waste of P. edulis f. edulis, peel and seed, contains as main constituents: Protein (8.49 and 7.29%), fiber (34.2 and 55.7%), phosphorus (1.67 and 3.09), and boron (53.3 and 58.4 mg/kg), respectively. The seed showed 25.5% oil. The crude seed extract exhibited a higher phenolic content (15.34 gEAG/100 g). Likewise, it presented the highest antiradical capacity against ABTS●+ and DPPH● (706.17 and 82.81 trolox equivalent antioxidant capacity [TEAC], respectively) and antioxidant in ORAC and FRAP (142.79 TEAC and 103.63 equivalent ascorbic acid EAA, respectively). The ACEI activity (50% inhibitory concentration 17.62 mg/L) of the crude seed extract was higher than the other samples. No toxicity was found in the samples evaluated at concentrations higher than those of the biological activities manifested. Conclusion: The agroindustrial residues of P. edulis f. edulis (peel and seed) are rich in nutrients, which propose them for use in food matrices. The ethanolic extract from seed showed the highest antioxidant, antiradical, and inhibitory biological activity of the ACEI so that it could be proposed the gulupa seed as a promising phytotherapeutic product associated with its phenolic content, especially its flavonoids. The results obtained allow an added value to the fruit, reducing the chances that its waste contributes to environmental pollution.
Stress analysis of thick walled cylinder

It is proposed to conduct stress analysis of thick walled cylinder and composite tubes(Shrink fits) subjected to internal and external pressure. Many problems of practical importance are concerned with solids of revolution which are deformed symmetrically with respect to the axis of revolution . The examples of such solids are :circular cylinders subjected to uniform external and internal pressure. The stress analysis of thick walled cylinders with variable internal and external pressure is predicted from lame’s formulae. Different case in lame’s formula are thick walled cylinder having both (a) External and Internal pressure (b) Only Internal Pressure (c)Only External Pressure. In case of Composite tubes (Shrink Fit) the contact pressure between the two cylinders is determined then stress analysis is done by applying external and internal pressure in tube by lame’s formulae. Theoretical formulae based results are obtained from MATLAB programs. The results are represented in form of graphs.
Conditions for successful changes in health care organizations: an interview study with physicians, registered nurses and assistant nurses

Background: Health care organizations are constantly changing as a result of technological advancements, ageing populations, changing disease patterns, new discoveries for the treatment of diseases and political reforms and policy initiatives. Changes can be challenging because they contradict humans’ basic need for a stable environment. The present study poses the question: what characterizes successful organizational changes in health care? The aim was to investigate the characteristics of changes of relevance for the work of health care professionals that they deemed successful. Methods: The study was based on semi-structured interviews with 30 health care professionals: 11 physicians, 12 registered nurses and seven assistant nurses employed in the Swedish health care system. An inductive approach was applied using questions based on the existing literature on organizational change and change responses. The questions concerned the interviewees’ experiences and perceptions of any changes that they considered to have affected their work, regardless of whether these changes were “objectively” large or small changes. The interviewees’ responses were analysed using directed content analysis. Results: The analysis yielded three categories concerning conditions for successful changes: having the opportunity to influence the change; being prepared for the change; valuing the change. The interviewees emphasized the importance of having the opportunity to influence the organizational changes that are implemented. Changes that were initiated by the professionals themselves were considered the easiest and were rarely resisted. Changes that were clearly communicated to allow for preparation increased the chances for success. The interviewees did not support organizational changes that were perceived to be implemented unexpectedly and/or without prior communication. They conveyed that it was important for them to understand the need for and benefits of organizational changes. They particularly valued and perceived as successful organizational changes with a patient focus, with clear benefits to patients.Conclusions: Organizational changes in health care are more likely to succeed when health care professionals have the opportunity to influence the change, feel prepared for the change and recognize the value of the change, including perceiving the benefit of the change for patients. Keywords: Organizational change, Implementation, Influence, Preparedness, Patient benefit
Detection of Breast Cancer by Thermal Based Sensors using Multilayered Neural Network Classifier

Consideration of public health problem issues, one of the most common diseases in public is cancer. Most of the women population is suffering from breast cancer which is the most well known appearance of cancer in metropolitan cities of India and abroad. There many number of imaging modalities to diagnose cancerous cells. Among those, mammography is alone an imaging modality which diagnoses the breast cancer at an early stage. Furthermore, this modality involves X-rays which are more harmful to human health and make the patient inconvenience. Through the mammogram, doctors can analyze, estimate and evaluate the cancer stage so that doctors can give better and correct treatment to the patients. With this mortality and death rates can also be diminished up to some extent. In this paper, the author proposed an intelligent system to identify and find out the severity of breast cancer. By using a thermal based sensor which is of negative Temperature Coefficient (NTC) available with C-MET Thrissur which replaces Mammography. The stage at which the cancer is progressing is classified with the help of Intelligent System Algorithms which works on the temperature data obtained from the thermal device. The data is pre-processed and applied to multilayered backpropogation neural network model. The neural network classifies the preprocessed images into normal, benign and cancer. The output of the network is presented to the doctors through graphs and displays.
Galleries of CAD Generated Imagery

The invention provides a negative type image recording material containing (A) a compound having at least one group represented by general formula (1) below (where Ar1 represents an arylene group, and R1 represents hydrogen or an alkyl group having 1~4 carbon atoms, (B) a polymer capable of reacting with compound (A) in the presence of acid, and (C) a compound that generates acid in response to supply of energetic radiation, an electron beam, or heat. The negative type image recording material has excellent sensitivity and enables direct image recording from digital data supplied by a computer or the like.
OH mid-infrared emission as a diagnostic of H2O UV photodissociation. II. Application to interstellar photodissociation regions

Water photodissociation in the 114 - 144 nm UV range forms excited OH which emits at mid-infrared wavelengths via highly excited rotational lines. These lines have only been detected with Spitzer in several proto-planetary disks and shocks. Previous studies have shown they are a unique diagnostic for water photodissociation. Thanks to its high sensitivity and angular resolution, the James Webb Space Telescope (JWST) could be able to detect them in other environments such as interstellar Photo-Dissociation Regions (PDRs). In order to predict the emerging spectrum of OH, we use the Meudon PDR Code to compute the thermal and chemical structure of PDRs. The influence of thermal pressure ($P_{\rm th}/k$ = $n_{\rm H} T_{\rm K}$) and UV field strength on the integrated intensities, as well as their detectability with the JWST are studied in details. OH mid-IR emission is predicted to originate very close to the H$^0$/H$_2$ transition and is directly proportional to the column density of water photodissociated in that layer. Because neutral gas-phase formation of water requires relatively high temperatures ($T_{\rm K} \gtrsim 300~$K), the resulting OH mid-IR lines are primarily correlated with the temperature at this position, and are therefore brighter in regions with high pressure. This implies that these lines are predicted to be only detectable in strongly irradiated PDRs ($G_0^{\rm incident}$ $>$ 10$^3$) with high thermal pressure ($P_{\rm th}/k$ $\gtrsim$ 5$\times$10$^7$ K cm$^{-3}$). In the latter case, OH mid-IR lines are less dependent on the strength of the incident UV field. The detection in PDRs like the Orion bar, which should be possible, is also investigated. To conclude, OH mid-IR lines observable by JWST are a promising diagnostics for dense and strongly irradiated PDRs.