Miracle-dz/UniFAR-FTUs huggingface dataset:
A Double-Edge Sword? Mass Media and Nonviolent Dissent in Autocracies

It is often assumed that nondemocratic regimes will control mass media and suppress independent information, but in many autocracies the media are partially free and imperfectly controlled. We argue that partial media freedom can increase the prospects for mass nonviolent dissent. We develop a theory emphasizing how even less than perfectly free media outlets can increase the ability of individuals to coordinate and mobilize, and provide an informational endowment that can help non-state actors overcome collective mobilization barriers. We further argue that this informational endowment amplifies the effect of other influences spurring mass protests in autocracies, in particular protest contagion and elections. We find empirical support for our argument in an analysis of all autocracies between 1955 and 2013. A case study of the Georgian Rose revolution provides further support for the postulated mechanisms.
Design Hands-on Lab Exercises for Cyber-physical Systems Security Education

The integration of cyber-physical systems (CPS) has been extremely advantageous to society, it merges the attention of cybersecurity for vehicles as a timely concern as a matter of public and individual. The failure of any vehicle system could have a serious impact on vehicle control and cause undesired consequences. With the growing demand for security in CPS, there are few hands-on labs/modules available for training current students, future engineers, or IT professionals to understand cybersecurity in CPS. This study describes the execution of a free security testbed to replicate a vehicle’s network system and the implementation of this testbed via hands-on lab designed to introduce concepts of vehicle control systems. The hands-on lab simulates insider threat scenarios where students had to use can-utils toolkits and SavvyCAN to send, modify, and capture the network packet and exploit the system vulnerability threats such as replay attacks and fuzzing attacks on the vehicle system. We conducted a case study with 21 university-level students, and all students completed the hands-on lab, pretest, posttest, and a satisfaction survey as part of a non-graded class assignment. The experimental results show that most students were not familiar with cyber-physical systems and vehicle control systems and never had the chance to do any hands-on lab in this field before. Furthermore, students reported that the hands-on lab helped them learn about CAN-bus and rated high scores for enjoyment. We discussed the design of an affordable tool to teach about vehicle control systems and proposed directions for future work.
Progress on Deep Learning in Bioinformatics

With the development of next generation sequencing, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. The application of deep learning in bioinformatics has gained more attention in both academia and industry field. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. The compared research method was used to describe the application of deep learning in bioinformatics from many academic papers. In this paper, three types of deep learning algorithms (deep neural networks, convolutional neural networks, recurrent neural networks) have been introduced in bioinformatics, especially in the domain of omics. The review of this paper can provide valuable insight for researchers to utilize deep learning models in the future of bioinformatics studies.
Book Review: How the Tea Party Captured the GOP: Insurgent Factions in American Politics

challenged the very idea of ‘Old Labour’. This is encapsulated in Massey’s title and organising concept: ‘the modernisation of the Labour Party’. Massey does nuance this by defining ‘modernisation’ as ‘an accumulation of different organisational initiatives from different authors, across the party’s period in opposition’ (p. 17, also p. 223). Yet, it is dubious to stitch together several distinct and contingent phenomena, from John Golding’s selection ‘fixing’ to New Labour’s use of Cranfield management courses, and dub the resultant tapestry as a single process of ‘modernisation’. This distinctly resembles the framing of partisans, like Blair, who cast themselves as ‘modernising’ an anachronistic ‘Old Labour’. In fairness, ‘modernisation’ has (in this reviewer’s eyes, wrongly) become a synonym for ‘the rise of New Labour’ in much of the literature. Yet, at least other accounts have conceded that this convention parrots rather than carefully scrutinises the political assumptions of historical actors (i.e. that their opponents were somehow ‘backwards’ or ‘outdated’). Massey does not include a similar disclaimer. By accepting without pause the framework of ‘modernisation’, Massey also passes over crucial constitutional reforms which had little to do with Sawyer, Kinnock and Blair. In her own account of Labour’s transformation, Meg Russell rightly highlighted the internal campaigns for feminist positive discrimination. Their successes culminated in Labour’s All Women Shortlist (1993), which in 1997 facilitated the largest single increase in female MPs in British history. Yet, in Massey’s account, this deeply significant (and deeply controversial) turning point is barely mentioned. Despite these issues, Massey’s account makes a valuable contribution. His book scrutinises several key moments in Labour’s organisational history, convincingly demonstrates Sawyer’s importance and meticulously reconstructs the pivotal ‘realignment of the left’. Students and scholars will find it a helpful and stimulating resource.
Comparative study of efficacy of standard kshar sutra and udumber ksheer sutra in the management of Naadi Vrana (pilonidal sinus)

Background: The term Naadi Vrana is meaning sinus. Its classification and management including various local and systemic measures are the main objectives of the classical text. Sinus is a granulation tissue-lined blind channel that extends from an epithelial surface into the surrounding tissues. Sinus means “Hollow” or “A bay”(Latin). There are 8 types of Naadi Vrana like Vaatik naadi, Paitik naadi, Kaphaj naai, Vaat-Pitaj naadi, Pit-Kaphaj naadi, Vaat-Kaphaj naadi, Sannipatik naadi and Aagantuja naadi. The prevalence of pilonidal illness is estimated to be around 26 per 100,000 people. The incidence rate of pilonidal disease is approximately 0.7%. Objective: To study the efficacy of Standard Kshar Sutra & Udumber ksheer sutra in the management of Naadi Vrana (Pilonidal Sinus). Material & Method: The present study is designed as a Randomized clinical trial in which 36 patients will be enrolled. Sutra will be applied in Naadi Vrana (Pilonidal Sinus). Assessment will be done 0th, 7th day, 14thday, 21st day and 28th day. Result:- The changes are expected to be observed in subjective parameters with objective parameters in the Healing of Naadi Vrana (Pilonidal Sinus).
Target detection of hyperspectral imagery

For target detection of hyperspectral imagery, this paper proposes a K - L transformation method based on spectral characteristics is introduced to extract the significant profile target. The significant characteristics represents the significant information, spatial distribution of the significant region and correlation information in the image. Profile features can reflect the correlation information of the background and target in the significant region from a whole. Target detection can be realized by classifying these regions. Since the method above could not accurately obtain targets like human visual ability and detect several regions in one target, a kind of an algorithm based on difference will be put forward in this paper. Firstly, the background for comparison must be selected according to the original image. Then, the object-of-interest could be obtained by comparing the difference between the image and the background template. Furthermore, multiple targets in the same region can be marked respectively by the difference method.
Water attenuation coefficient estimation with pulsed laser range-gated imaging system

Pulsed laser range-gated imaging system can reduce the influence of backscattered light in water. However, when searching for targets in unknown water, it is necessary to obtain the attenuation coefficient at the laser wavelength in the water. Usually, the attenuation coefficient of the water needs to be obtained by special instruments. In this paper, a numerical analysis method is proposed to extract the attenuation coefficient of water from the images collected by the range-gated imaging system. First, radiative transfer theory is used to model the imaging process of the pulsed laser range-gated imaging system. Then, the attenuation coefficient of the water is solved by numerical analysis method. At the same time, an experimental system is built to verify the method. The results under different water conditions show that, method in this paper is feasible and effective.
Remote sensing radiance image simulation of the non-Lambertian land surface

Remote sensing image realistic simulation enables a thorough preparation of earth imaging instruments and data processing algorithms before the launch. Therefore, the development of the end-to-end simulation tool is essential for the future earth observation missions. The natural land surface is mostly heterogeneous and non-Lambertian simultaneously, of which the remote sensing image cannot be reproduced very well by the existing tools. In this paper, a physical based method is proposed for remote sensing radiance image simulation of heterogeneous, non-Lambertian land surface in the solar-reflective spectral range, which generates the input signal at sensor. The successive orders of radiation interactions model is established to account for the radiative transfer processes between atmosphere and surface, so that atmospheric radiation can be decoupled with the complex surface in the more precise way. An algebraic algorithm is adopted to calculate the separated atmospheric radiation parameters. The surface parameters devoting to directional reflection are generated by surface bidirectional reflectance distribution function (BRDF) map of imaging region. In this paper, BRDF/Albedo data retrieved from Moderate Resolution Imaging Spectroradiometer (MODIS) measurements is employed to simulate the several cases by the proposed method. The results demonstrate the influence of non-Lambertian surface directional reflection on remote sensing radiance image. The difference of simulation between Lambertian and non-Lambertian surface is analyzed, which shows the necessity of this method.
The Relationship of Maximal Leg Power and Swing Velocity in Collegiate Athletes

by Ryan M. Miller The purpose of this study was to evaluate the relationship between maximal leg power and swing velocity of each subject completed one assessment to determine anthropometric measures, vertical jump, and swing velocity. Subject (n=34) mean (±SD) age, height, and weight were 20.35years (±1.34), 176.84cm (±9.77), and 77.66kg (±13.92), respectively. Mean measures for baseball (n=17) and softball (n=17) were 20.65years (±1.22), 184.81cm (±4.07), 88.28kg (±9.83) and 20.06years (±1.43), 168.87cm (±6.74), 67.03kg (±7.96), respectively. Vertical jump means for total population, baseball, and softball were 41.50cm (±10.36), 49.89cm ± (6.05), and 33.11cm (±5.92), respectively. Swing velocity means were 33.98m/s (±4.93), 38.65m/s (±1.39), and 29.56m/s (±2.08), respectively. Pearson’s Correlation revealed a high (r=0.823), moderate (r=0.520), and non(r=0.036) linear relationships for sample, baseball, and softball players when measuring the relationship of vertical jump and swing velocity. Coefficient of determination was also calculated for each group and were R 2 =0.677, 0.270, and 0.001, respectively. Statistical evaluation revealed a strong relationship between vertical jump and swing velocity in collegiate athletes. THE RELATIONSHIP OF MAXIMAL LEG POWER AND SWING VELOCITY IN COLLEGIATE ATHLETES
LPM-GAN: lumbar paraspinal muscle segmentation using a generative adversarial network

After posterior lumbar surgeries (PLS), the change of the cross-sectional area(CSA) and fatty infiltration (FI) of paraspinal muscle can deeply affect the muscle activity pattern and spinal stability. The objective of this work is to perform automated paraspinal muscle (multifidus and erector spine) segmentation in magnetic resonance imaging (MRI) image. However, no work has achieved the semantic segmentation of multifidus (MF) and erector spinae (ES) due to three unusual challenges: (1) the distribution of paraspinal muscle overlaps with the distribution of other anatomical structures; (2) the fascia between MF and ES is unclear; (3) the intra- and inter-patient shape is variable. In this paper, we proposed a generative adversarial network called LPM-GAN which contains a generator and a discriminator to resolve above challenges. The generator solves the high variability and variety of paraspinal muscle through extracting high-level semantics of images and preserving the paraspinal muscle anatomy. And then, the discriminator is trained to optimize the predicted mask to make it closer to ground truth. Finally, we obtain the CSA and FI of paraspinal muscle by utilizing Otsu. Extensive experiments on MRIs of 69 patients have demonstrated that LPM-GAN achieves high Recall of 0.931 and 0.904, and Dice coefficient of 0.920 and 0.903, which reveals the method is effective.
A 3-10GHz Ultra-Wideband Pulser

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Creating a Culture to Avoid Knowledge Hiding Within an Organization: The Role of Management Support

Knowledge hiding is known to have negative consequences on organizational performance. The existing literature mainly focuses on the identification of antecedents and consequences of knowledge hiding. The studies pertaining to the top management role in creating a culture that stops concealing knowledge within an organization are limited. To fill that gap, the paper empirically address the knowledge sharing culture and to explore the management support to avoid knowledge hiding culture in an organization. This study based on an empirical study carried out in a United Kingdom-based laboratory within a high-tech global corporation, in which the atmosphere appeared conducive to knowledge sharing, and knowledge transfer appeared voluntary and spontaneous. The paper seeks to address why members of the case organization is reluctant about knowledge hiding among themselves. The study reveals that the management role is important in creating a culture that help discourage employees to withhold knowledge. The paper identifies the actions that top management takes to stop concealing knowledge within an organization. This study has provided several contributions. The findings of the study may be useful to managers and practitioners. For managers, this paper presents some important organizational factors that can be nurtured to avoid a knowledge-hiding culture in the organization. They can also take the management actions of the case organization as lessons to create a culture that encourage their employees to avoid knowledge hiding behavior.
A Wilf–Zeilberger–Based Solution to the Basel Problem With Applications

Wilf [Accelerated series for universal constants, by the WZ method, Discrete Math. Theor. Comput. Sci. 3 (1999) 189–192] applied Zeilberger’s algorithm to obtain an accelerated version of the famous series (cid:80) ∞ k =1 1 /k 2 = π 2 / 6 . However, if we write the Basel series (cid:80) ∞ k =1 1 /k 2 as a 3 F 2 (1) -series, it is not obvious as to how to determine a Wilf–Zeilberger (WZ) pair or a WZ proof certiﬁcate that may be used to formulate a proof for evaluating this 3 F 2 (1) -expression. In this article, using the WZ method, we prove a remarkable identity for a 3 F 2 (1) -series with three free parameters that Maple 2020 is not able to evaluate directly, and we apply our WZ proof of this identity to obtain a new proof of the famous formula ζ (2) = π 2 / 6 . By applying partial derivative operators to our WZ-derived 3 F 2 (1) -identity, we obtain an identity involving binomial-harmonic sums that were recently considered by Wang and Chu [Series with harmonic-like numbers and squared binomial coeﬃcients, Rocky Mountain J. Math. , In press], and we succeed in solving some open problems given by Wang and Chu on series involving harmonic-type numbers and squared binomial coeﬃcients. Classiﬁcation: 11Y60, 33F10.
Lessons Learned From the COVID-19 Pandemic as Experienced by Older Adults Treated for COVID-19

Background In order to provide the best care, the perspective of older COVID-19 patients must be involved in the development of treatment protocols. This study describes the experiences of older adults affected by COVID-19 who recovered in the hospital or at home. Methods Qualitative semi-structured interviews were conducted with 23 older adults affected by COVID-19. A content-based thematic analysis was conducted. Results Nine categories were identified as recurring topics, which were grouped into three major themes. The first theme describes experiences in the first phase of the disease when older adults fell ill. The second theme includes experiences during the illness, ranging from illness severity to participation in decision-making, communication barriers and isolation effects. The final theme covers the recovery course, residual symptoms and social aspects. Conclusion Older adults treated for COVID-19 experienced a feeling of being in a fast-paced whirlwind and lost total control over the situation. Extra attention should be paid to shared decision making, coordinated information provision and the instalment of a primary contract to the patient. The uncertainty of their situation, isolation measures and fears could result in psychological consequences and hinder rehabilitation in older adults.
Technology management practices and innovation: Empirical evidence from medium- and large-scale manufacturing firms in Ethiopia

In order to investigate empirically the effects of technology management on firm innovation, this paper considers the antecedents and multidimensional views of technology management mechanisms on innovation performance in medium- and large-scale manufacturing firms in a developing country, namely Ethiopia. Using simple random sampling, a total of 200 firms were chosen for this study to obtain responses from respondents. Four hypotheses were proposed for testing. Structural equation modelling and cross-sectional design were used to analyze the data using the LISREL 8.80 SIMPLIS program software tool. This study finds technology transfer and technology acquisition have significant positive effects on process innovation, product innovation, and method innovation. Technology process has a significant positive effect on process and method innovation. Technology absorption has a significant positive effect on product innovation. The major implication of this study is that technology management, coupled with appropriate technology management policies and strategies, is an appropriate resource to be used in the organization to enhance firm performance, particularly innovation and creativity. The paper contributes to the literature in that, unlike previous studies that are based on one aspect of technology management practices, this study examined the effects of each different type of technology management dimension on firms’ innovation. Thus, this study helps to gain further insights into the effects of technology management practices on firm innovation.
Identification of Key Drug Targets and Molecular Mechanisms of Curcumae Rhizoma Acting on HBV-Related HCC: Weighted Correlation Network and Network Pharmacological Analyses

Background Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) has poor prognosis and high mortality rate. Curcumae Rhizoma, a classic Chinese medicinal herb, is often used to treat tumors. Methods Active ingredients of Curcumae Rhizoma were extracted from the Traditional Chinese Medicine Database and Analysis Platform (TCMSP) database, and potential targets were predicted by the TCMSP database and Swiss Target Prediction database. The key drug targets were filtered by intersecting predicted targets, DEGs, and genes in important modules from WGCNA. Besides, the key drug targets were used to construct a network of “herb-active ingredient-target-disease” interactions and subjected to enrichment analysis and protein-protein interaction (PPI) analysis. The hub targets based on PPI analysis was evaluated by the KMplotter database. Results Three active ingredients of Curcumae Rhizoma were collected with OB ≥ 30% and DL ≥ 0.18, including hederagenin, wenjine, and bisdemethoxycurcumin. The key drug targets were mainly enriched in cell cycle checkpoint, DNA integrity checkpoint, and peptidyl-serine modification. Besides, Curcumae Rhizoma treatment of HBV-related HCC mainly involved the p53 signaling pathway and arachidonic acid metabolism. Finally, ESR1 and PTGS2 were identified as hub targets from PPI analysis. ESR1 was found to be correlated with survival in liver cancer patients with hepatitis. Conclusion Based on WGCNA and network pharmacological analysis, our results illustrated that Curcumae Rhizoma might work through regulating multitargets and multipathways in HBV-related HCC.
Self-harm and suicidality among LGBTIQ people: a systematic review and meta-analysis

Abstract Research evidence has consistently documented a higher risk of suicidality in the Lesbian, Gay, Bisexual, Transgender, Intersex, and Queer (LGBTIQ) population. This systematic review and meta-analysis aimed to report a detailed description of research data regarding the risk of Attempted Suicide (SA), Suicide Ideation (SI), and Non-Suicidal Self-Injury (NSSI) behaviours for LGBTIQ people and their subgroups. Medline, Scopus, PsycINFO, and EMBASE were searched for studies reporting a comparative estimation of SA, SI, and NSSI rates among LGBTIQ population and the general population (i.e. heterosexual/cisgender), without restrictions on participants’ age and setting for the enrolment. Pooled analyses were based on odds ratios (ORs, with 95% CIs), estimated through inverse variance models with random effects. Fifty studies were selected for the quantitative synthesis and included fifty samples involving 3.735. 601 controls and 87.252 LGBTIQ people. LGBTIQ people reported an increased risk of SA (OR:4.36[95%CI:3.32;5.71]), SI (OR:3.76[95%CI:3.02;4.69]), and NSSI (OR:4.24[95%CI:3.23;5.55]). Among LGBTIQ subgroups, the Bisexual group has shown the highest risk of suicidality (SA, OR:6.71; SI, OR:5.04; NSSI, OR: 5.03), followed by the Lesbian-Gay for attempted suicide (SA, OR:6.03), and the Transgender-Intersex-Queer for suicide ideation and non-suicidal self-injury (SI and NSSI, OR:3.42). The quality of the evidence ranged from low to moderate. Our findings have shown that LGBTIQ people report a higher risk of suicidality compared with their cisgender/heterosexual peers. This evidence may contribute to the public awareness on LGBTQI mental health needs and suggest supportive strategies as well as preventive interventions (e.g. supportive programs, counselling, and destigmatizing efforts) as parts of a tailored health-care planning aimed to reduce psychiatric morbidity and mortality in this at-risk population.