Miracle-dz/UniFAR-FTUs huggingface dataset:
Acupoint catgut embedding regulates GABA-Glutamate of menopausal panic disorder patients: protocol for a vivo study

Background: Around 10% of general population suffer from panic attack (PD), and menopausal women are high-risk group of PD. PD severely effects patients’ living quality and social function because of its sudden onset and strong sense of impending death. The aim of this study is to investigate the pathogenesis, physio-pathology characters and seek for valid therapeutic measures. Methods: A parallel designed, exploratory randomized controlled trial with 7:3 allocation to intervention group (contains Group Implantation and Group Medication) versus control group. The included women of Group Implantation will receive a biweekly acupoint catgut embedding treatment during 12 consecutive weeks in the following predefined acupuncture points: BL23, SP6, RN4, BL18, ST36 and BL20. All acupuncturists are medical doctors educated in acupuncture. The included women of Group Medication will take 0.4mg Alprazolam tablet orally, 1 tablet a time, 3 times a day. There is a study period of 3 months and a follow-up period of 1 month for each group. The primary outcomes are measured by the following therapeutic indexes: frequency of panic attack during observation period (3 months) and during follow-up period (1 month), Panic Disorder Severity Score (PDSS), Panic Associated Symptoms Score (PASS) and HAMA Score. The secondary outcomes are measured by the following therapeutic indexes: SLC-90 Score, Chinese Menopause Rating Scale Score. And there are several Biomarker Indexes: fMRI and 1H-MRS scans taken pretherapy and post-treatment, free amino acid and E2 of peripheral blood tested pretherapy and post-treatment. Moreover, there are also safety indexes: blood routine test, urine routine test, stool routine test, liver function (ALT), kidney function (serum creatinine) and electrocardiogram. Discussion: In this study, we are meant to reveal neural activity and amino acid metabolism of PD patients, and the internal relationship with clinic curative effect by using fMRI and 1H-MRS. The results of this study may provide a novel treatment regimen for PD patients. Trial registration: Chinese Clinical Trial Registry, ChiCTR-INR-16009724, registered in November 2016. Keywords: Acupoint catgut embedding, GABA-Glutamate, Menopausal, Panic disorder, Protocol
The Impact of Toxic Leadership on Job Attitudes A Study on Teaching Hospitals in Egypt

The objective of the research is to identify the impact of Toxic Leadership (TL) on Job Attitudes (JA) in terms of job satisfaction (JS) and Organizational Commitment (OC) at Teaching Hospitals in Egypt. The research community consists of all employees at Teaching Hospitals in Egypt. Due to time and cost constraints, the researcher relied on the sampling method to collect data for the study. The appropriate statistical methods were used to analyze the data and test the hypotheses. The research has reached a number of results, the most important of which are: (1) TL decreases JS, employee performance, lack of motivation, and absence to work (2) TL increases intention to leave and health problems, (3) there is a negative relationship between TL and JS, (4) TL have impacts in both individual and organizational levels as well, (5) TL decreases OC, (6) TL increases stress and burn out, (7) TL has a significant and positive relationship between intention to leave while negative with OC. In other words, TL is negatively related with motivation and commitment of employees while it is positively correlated with high turnover and intention to leave behaviors of employees. The research concluded that: (1) TL have an impact on JA in terms of JS and OC, (2) the first hypothesis of the paper looked for the significance of relationship between TL and JS. The research showed that there is a significant relationship between TL and JS, (3) the second hypothesis looked for finding whether TL has significant capacity to influence on OC. The research showed that there is significance of relationship between TL and OC, and (4) there are five dimensions of toxic leader behavior which are self-promotion, abusive supervision, unpredictability, narcissism, and authoritarianism. These dimensions have a negative impact on JS and OC.
Real Time event occurrence system with particular opinion using Mapreduce Framework for Excavating Twitter Data

—As per some recent studies, public opinions expressed in social media may be correlated with various social issues. To find out what actually can be discovered in social media data, we need data mining. But traditional data mining has many limitations as size of datasets. So, new data mining approaches that can handle massive amount of data have recently been referred to as big data algorithms. This project proposes a data algorithm to handling Twitter data mining. Computationally, the speed of execution can be shown to increase significantly despite increases in data set size. However gap for communication is filled by the technology through ‘social networking’ sites. This project proposed a new system that delivers large database of Social Networking Site (SNS) called ‘Twitter’. Here processing the tweet involves extraction of metadata of tweet, geocoding the physical address in a tweet, analyzing the sentiment of content in the tweet text and extracting the significant and key phrases from a text. After all the Information Extracted and NER (Named Entity Recognition) text analysis from tweet, are stored into a MongoDB database, as it is more scalable and more flexible among others of NoSQL databases. Here Object Oriented programming and Design patterns are used in implementation of this system, with proper testing and validation are performed at three levels, both normal and performance test results are evaluated to achieve a sophisticated system. Real time data analysis is key feature which we have implemented along with Machine learning approaches like Naïve Bayes theorem.
Pattern Evaluation of AES using Monte Carlo Test

— Security is the important concern in the area of data communication. Through encryption security has been provided in data communication. Several encryption techniques are available for security where AES (Advance Encryption Standard) is one of the strongest symmetric cipher techniques which is not easy for any attacker to make attack on this technique. To verify that this technique is the strongest one by finding out no similarity in cipher text after encryption process over different type of plaintext likes character, integer, character and integer, special character etc. The AES (Advance Encryption Standard) has been embedded with CBC (Cipher Block Chaining) block cipher mode of operation, which is used to cover virtually all possible applications of encryption then the evaluation has been done through Monte Carlo Test. With the help of this test we accumulate a set of different plaintext and their corresponding cipher text with their key value. We have analysed that the cryptanalysis is not possible on AES (Advance Encryption Standard), it’s not possible for attacker to find out the skeleton of the plaintext through the pattern of cipher text. The final analysis gives some better result which verifies that AES is strongest symmetric cipher.
[Re] Variational Sparse Coding

The paper1 proposes an improvement over the Variational Auto-Encoder (VAE) architecture2,3 by explicitly modelling sparsity in the latent space with a Spike and Slab prior distribution and drawing ideas from sparse coding theory. The main motivation behind their work lies in the ability to infer truly sparse representations from generally intractable non-linear probabilistic models, simultaneously addressing the problem of lack of interpretability of latent features. Moreover, the proposed model improves the classification accuracy using the low-dimensional representations obtained, and significantly adds robustness while varying the dimensionality of latent space.
Controlling the ambipolarity and improvement of RF performance using Gaussian Drain Doped TFET

ABSTRACT Ambipolar conduction in tunnel field-effect transistors (TFETs) has been occurred as an inherent issue due to drain-channel tunneling. It makes TFET less efficient and restricts its application in complementary digital circuits. Therefore, this manuscript reports the application of Gaussian doping profile on nanometer regime silicon channel TFETs to completely eliminate the ambipolarity. For this, Gaussian doping is used in the drain region of conventional gate-drain overlap TFET to control the tunneling of electrons from the valence band of channel to the conduction band of drain. As a result, barrier width at the drain/channel junction increases significantly leading to the suppression of an ambipolar current even when higher doping concentration (1 10 cm ) is considered in the drain region. However, significant improvement in terms of RF figure-of-merits such as cut-off frequency (f ), gain bandwidth product (GBW), and gate-to-drain capacitance (C ) is achieved with Gaussian doped gate on drain overlap TFET as compared to its counterpart TFET.
The use of IT tools and social media in customer relationship management

: The purpose of the article is to identify and characterize IT instruments and tools used in customer relationship management (CRM) and to present the results of empirical research. In particular, the article presents the essence and elements of the customer relationship management system (CRM), determines its importance in the functioning of the company and shaping business relations with stakeholders. Especially, a lot of space is devoted to a discussion on information technology in the development of CRM. A selection of more important IT tools supporting CRM are characterized, such as the database management subsystem, Internet services, social media (social CRM), cloud computing, ERP/MRP III applications and Big Data, highlighting their advantages and disadvantages and applications. The empirical section of the work contains a description, including the significance and benefits of use, of e-learning in the development of the CRM system and the conditions for
Plasticity of adenylyl cyclase–related signaling sequelae following long-term morphine treatment

Adaptations to chronic morphine resulting in tolerance are protective by counteracting the consequences of sustained opioid receptor activation. Consequently, the manifestation of specific adenylyl cyclase (AC)-related neurochemical sequelae of chronic morphine should depend on the consequences of acute mu-opioid receptor (MOR) activation. We tested this by comparing complementary chemical sequelae of chronic morphine among cells in which acute MOR activation inhibited vs. stimulated AC activity. Acute activation of MOR in Chinese Hamster Ovary (CHO) cells stably transfected with MOR (MOR-CHO) inhibits AC activity. Chronic morphine treatment of these cells increased AC and G β phosphorylation, membrane protein kinase C γ  (PKC γ ) translocation and MOR G s association. All converge, shifting the consequences of acute MOR activation from G α i  /G α o inhibitory to AC stimulatory signaling. In contrast, overexpression of the G βγ -stimulated AC isoform AC2 (which converted MOR-coupled inhibition to stimulation of AC) eliminated or reversed these adaptations to chronic morphine; it negated the increase in G β phosphorylation and PKC γ translocation while reversing the increase in AC phosphorylation and MOR G s association. These adaptations greatly attenuated MOR-coupled stimulation of AC activity. Altered overexpression of AC protein per se was not a confounding factor since MOR-CHO overexpressing AC1, which is inhibited by acute MOR activation, manifested adaptations to chronic morphine qualitatively identical to those of MOR-CHO. These results reveal that adaptations elicited by chronic morphine depend on the effects of acute MOR activation. This dynamic and pliable nature of tolerance mechanisms could represent a new paradigm for pharmacotherapeutics. (10 nM). #, p < 0.001 for the effect of sufentanil (10 nM) on AC activity in the presence vs. absence of QEHA in membranes of AC2-MOR-CHO (n = 6). MOR activation inhibits AC activity in MOR-CHO yet enhances AC activity in AC2-MOR-CHO, which is attenuated following chronic morphine. Abolishment of the MOR-coupled increment in AC activity by QEHA indicates its mediation by G βγ . Loss of sufentanil inhibition of
Suicidality in Bangladeshi Young Adults During the COVID-19 Pandemic: The Role of Behavioral Factors, COVID-19 Risk and Fear, and Mental Health Problems

Background: It is said that psychological stressors have risen during the COVID-19 pandemic, which may contribute to suicidality. A few studies were conducted investigating suicidality amid the first wave of the pandemic in Bangladesh, but none of these studies explored the predictive role of the suicidality-related factors (eg, behavior and health-related variables, COVID-19 risk, fear of COVID-19). Thus, this study aimed to investigate the prevalence of suicidality and the predictive models explaining suicidality variance among Bangladeshi young adults during the second wave of the pandemic. Methods: An online-based cross-sectional survey was conducted during the second wave of the pandemic (between 1 and 13 April 2021; a year after the pandemic's inception in the country). The survey questionnaire collected information on socio-demographics, behavior and health-related variables, COVID-19 risk, fear of COVID-19, depression, anxiety, and suicidality. A total of 756 data were analyzed (male 59%; mean age 22.24 ±4.39 years), and hierarchical regression was performed considering suicidality as the dependent variable. A p -value <0.05 was set to be statistically significant with a 95% of confidence interval. Results: About 8.2% reported having at least suicidal thoughts within the pandemic inception to survey time (one-year suicidal ideation). More specifically, 7.40% had only suicidal ideation, whereas 0.10% planned for suicide, 0.70% attempted suicide. None of the sociodemographic variables was significantly associated with suicidality. Taking drugs, performing less physical activity, poor self-reporting health condition, being comorbid, being at higher COVID-19 risk, having fear of COVID-19 infection, and suffering from depression and anxiety were significantly associated with a higher risk of suicidality. However, the final model including all of the studied variables explained a 17.1% (F=8.245, p <0.001) variance in terms of suicidality. Conclusion: Although this study reported a lower severity of suicidality than prior Bangladeshi studies conducted during the first wave of the pandemic, a portion of people are still at risk of suicide and they should be given attention.
Predictive Learning An-alytics

Description: The goal of this project was to create a set of analytics for the interactive presentations tool of FbF that teachers can use to get a better insight in the participation of students and how well they are performing in class. These analytics already exist for other tools that FbF provides, but only very basic information is shown about the interactive presentations so far. Two types of analytics are created for interactive presentations, standard analytics and predictive analytics. Standard analytics give an insight in how students are doing in lectures so far. Predictive analytics use the information on how students are doing so far to make a prediction on how they will be doing in the future. Both analytics can help the teacher get a better understanding on the quality of their course and the effectiveness of lectures that are given.
Noise Analysis of DBSCAN Algorithm for High Dimensional Datasets in WEKA

— Data mining is process of extracting or mining useful knowledge form large amount of data. Clustering is an important technique which has seen an explosive growth in machine learning algorithms. Clustering is an important technique which has seen an explosive growth in the machine learning algorithms. DBSCAN algorithm is one of the most primary methods for cluster analysis in data mining. DBSCAN has ability to detect the clusters of different shape and size as well as it will also detect the outliers. The two important global parameters Epsilon (Eps) and Minimum point (MinPts) are required to be inputted manually on conducted datasets. On the basis of parameters the comparison is made with existing work with respect to number of clusters, un-clustered instances, incorrectly clustered instances, noise analysis and computational time. Experimental evaluation on the basis of different datasets in ARFF format with help of WEKA tool which shows that quality of clusters of our proposed algorithm is efficient in clustering result and more accurate. The main objective is to illustrate the strength and weakness of the classical technique presented but as we will see the results are completely depends on the dataset that are analyzed.
Stereoscopic Remote Vision System

Faculty of Electrical Engineering, Mathematics and Computer Science CE-MS-2010-24 This thesis presents a remote vision system designed to be used for telepresence applications. Telepresence is essentially being able to assert one’s presence at a remote location. Being able to see and talk to people in another corner of the world is one method of telepresence we have come to know as video conferencing. As technologies evolve, the sense of ‘presence’ allowed by them also grows. Presentday telepresence systems limit our most prominent sense, sight, to monoscopic video where we only see one view of the remote location. In order to take telepresence to the next level by being able to manipulate remote objects, it is important that our sight be stimulated to perceive depth to the fullest. Therefore, this thesis focuses on creating a stereoscopic remote vision system designed for teleoperation. Delay plays a major part in the ease of teleoperation. While most teleoperation systems focus of alleviating the effects of delay by means of control methodologies and environment modeling, this system attempts to directly minimize delay and other factors of human discomfort. This was done by analyzing the several technologies involved in capture, compression, transport and display of 3D video along with an exploration on the factors of human comfort and performance for teleoperation. The most appropriate technologies were then selected while keeping these factors in mind. The stereoscopic remote vision system was then designed and implemented while keeping a focus to minimize delay. The resulting system was then used as a testbench to further explore the same factors. Stereoscopic Remote Vision System A Delay Minimizing Approach for Telepresence
Revisiting the Turbulent Prandtl Number in an Idealized Atmospheric Surface Layer

Cospectral budgets are used to link the kinetic and potential energy distributions of turbulent eddies, as measured by their spectra, to macroscopic relations between the turbulent Prandtl number (Pr t ) and atmospheric stability measures such as the stability parameter z , the gradient Richardson number R g , or the ﬂux Richardson number R f in the atmospheric surface layer. The dependence of Pr t on z , R g , or R f is shown to be primarily controlled by the ratio of Kolmogorov and Kolmogorov–Obukhov–Corrsin phenomenological constants and a constantassociated withisotropizationof turbulentﬂux production thatcan be independently determined using rapid distortion theory in homogeneous turbulence. Changes in scaling laws of the vertical velocity and air temperature spectra are also shown to affect the Pr t – z (or Pr t – R g or Pr t – R f ) relation. Results suggest that departure of Pr t from unity under neutral conditions is induced by dissimilarity between mo- mentum and heat in terms of Rotta constants, isotropization constants, and constants in the ﬂux transfer terms. A maximum ﬂux Richardson number R fm predicted from the cospectral budgets method ( 5 0.25) is in good agreement with values in the literature, suggesting that R fm may be tied to the collapse of Kolmogorov spectra instead of laminarization of turbulent ﬂows under stable stratiﬁcation. The linkages between mi- croscaleenergydistributionsof turbulenteddies and macroscopic relationsthat areprincipally determinedby dimensional considerations or similarity theories suggest that when these scalewise energy distributions of eddies experience a ‘‘transition’’ to other distributions (e.g., when R f is increased over R fm ), dimensional considerations or similarity theories may fail to predict bulk ﬂow properties.
Inﬂuence of Sweat on Joint and Sensor Reliability of E-Textiles

: This article addresses reliability under the sweat of interconnection techniques for the mounting surface mounted device (SMD) components and fully printed humidity sensors onto conductive stretchable textile ribbons. Samples underwent testing for the effect of ageing by artiﬁcial sweat on their electrical resistance using both alkaline and acidic artiﬁcial sweat. The best results in terms of electrical resistance change were obtained for samples soldered to the conductive ﬁbers interwoven in the ribbon. However, this method can damage the ribbon due to the high temperature during soldering and signiﬁcantly reduce the mechanical properties and ﬂexibility of the ribbon, which can lead to a limited service life of samples. On the other hand, adhesive bonding is a very interesting alternative, where the above-mentioned properties are preserved, but there is a signiﬁcant effect of sweat ageing on electrical resistance. The results of fully printed graphene-based humidity sensors show that, for the intended use of these sensors (i.e., detection of changes in moisture on the human body), usage of the samples is possible, and the samples are sufﬁciently reliable in the case of sweat degradation. In addition, the response of the sensor to humidity is quite high: 98% at a relative humidity of 98%.
ONLINE SOCIAL NETWORKS CONSEQUENCE AND ALTERNATION

— Different communities of computer science researchers have framed the ‘OSN privacy problem’ as one of surveillance, institutional or social privacy. In tackling these problems they have also treated them as if they were independent. We argue that the different privacy problems are entangled and that research on privacy in OSNs would benefit from a more holistic approach. Privacy is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). In this article, we first provide an introduction to the surveillance and social privacy perspectives emphasizing the narratives that inform them, as well as their assumptions, goals and methods. We then juxtapose the differences between these two approaches in order to understand their complementary, and to identify potential integration challenges as well as research questions that so far have been left unanswered.