Miracle-dz/UniFAR-FTUs huggingface dataset:
3D printed multi-frequency vibrational energy harvester

Zero energy devices, mainly used in IoT, need a stable power source that will power them for a very long period of their operation. Additive manufacturing is one of the few methods of producing strongly adaptive IoT solutions that can meet the requirements if large number of devices connected to the IoT network is needed wit additional adjusting to the changing environmental conditions in which they work. In this paper we present for the first time 3D printed multi-frequency energy harvester that can be designed to work in specific conditions required by the application. The work presents the process of fabrication, characterization and electrical/mechanical measurements with a strong emphasis on test related to the generated power.
ON THE SOCIAL TRAITS OF LUMINOUS BLUE VARIABLES

In a recent paper, Smith & Tombleson state that the luminous blue variables (LBVs) in the Milky Way and the Magellanic Clouds are isolated; they are not spatially associated with young O-type stars. They propose a novel explanation that would overturn the standard view of LBVs. In this paper we test their hypothesis for the LBVs in M31 and M33, as well as the LMC and SMC. We show that in M31 and M33 the LBVs are associated with luminous young stars and supergiants that are appropriate to their luminosities and positions on the H-R diagram. Moreover, in the Smith and Tombleson scenario most of the LBVs should be runaway stars, but the stars’ velocities are consistent with their positions in the respective galaxies. In the Magellanic Clouds, those authors’ sample was a mixed population. We reassess their analysis, removing seven stars that have no clear relation to LBVs. When we separate the more massive classical and the less luminous LBVs, the classical LBVs have a distribution similar to the late O-type stars, while the less luminous LBVs have a distribution like the red supergiants. None of the confirmed LBVs have high velocities or are candidate runaway stars. These results support the accepted description of LBVs as evolved massive stars that have shed a lot of mass and are now close to their Eddington limit.
ITfResch: Customer Neuroscience Data Collection and Analysis IT Strategic Planning for Memorizing COVID-19 Advertisements

The Coronavirus Disease-2019 (COVID-19) outbreak is a global emergency, and this pandemic has been going on for more than a year. It is crucial to provide health information regarding how to prevent COVID-19 to the public to gain the health awareness. Conventional research in consumer behavior and marketing sees the human organism as a "black box" that cannot be assessed directly or physiologically. Consumer neuroscience has the significant benefit for the research to understand the consumer behavior. On the other hand, conducting the research can be similar like Information Technology (IT) project. It can lead to failure if not been conducted properly and do not have a proper guidance. This urgency encourages us to proposed Information Technology for Research (ITfResch) IT strategic planning for data collecting and analyzing of visual COVID-19 advertisements to minimize the risk of research failure. By using bioinformatics-neuroscience devices such as Electroencephalogram (EEG) and Functional Magnetic Resonance Imaging (fMRI) can help to understand the reaction of human brain while see the advertisement – which COVID-19 advertisement grabs the attention of people and gets them to memorize it.
Personality and Habit Formation: Is There a Link?

We aim to develop a virtual coaching (VC) system which facilitates cancer patients with the formation of positive health habits. The VC should adjust content and delivery of recommendations based on user’s preferences. We conducted a survey that elicited potential VC users’ perceptions about the appropriate context for notiﬁcation, aspects driving their motivation, and their ability to perform a selected activity in diﬀerent circumstances. We analyze 173 survey responses, identify diﬀerent types of users and suggest how to adjust application content and notiﬁcation timing to increase their susceptibility to non-medication health interventions.
Interoperability in health care

With the advancement of technology, all patient information has been being computerized in order to facilitating the work of healthcare professionals and to improve de quality of healthcare delivery. However, there are many heterogeneous information systems that need to communicate so as to share information and to make it available when and where it is needed. To respond to this requirement it was created the Agency for Integration, Dissemination and Archiving of medical information (AIDA), a multi-agent and service based platform that ensures interoperability among healthcare information systems. In order to improve the performance of the platform, beyond the SWOT analysis performed, it was created a system to prevent failures that may occur in the platform database and also in machines where the agents are executed. It was possible conclude that in the Centro Hospitalar do Porto, the critical workload of AIDA is the period between 10:00 and 12:00.
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances

Provenance and intervention-based techniques have been used to explain surprisingly high or low outcomes of aggregation queries. However, such techniques may miss interesting explanations emerging from data that is not in the provenance. For instance, an unusually low number of publications of a prolific researcher in a certain venue and year can be explained by an increased number of publications in another venue in the same year. We present a novel approach for explaining outliers in aggregation queries through counter- balancing. That is, explanations are outliers in the opposite direction of the outlier of interest. Outliers are defined w.r. t. patterns that hold over the data in aggregate. We present efficient methods for mining such aggregate regression pat- terns (ARPs), discuss how to use ARPs to generate and rank explanations, and experimentally demonstrate the efficiency and effectiveness of our approach.
Recording Clinical Video Improves Quality of Care and Patient Outcomes

www.orpheus-medical.com Improving Patient Outcomes in Surgery Quality control of medical devices and drug treatment is strictly organized and supervised. Efficacy and safety need to be demonstrated in large randomized trials. Content and quality of marketed devices and drugs are controlled by industry and government. This quality control is necessary to obtain reliable and predictable results and to detect rare adverse events [1]. Nevertheless, quality control of individual surgical treatments is almost nonexistent and, therefore, rare adverse events cannot be detected by the sheer number of interventions analyzed.
Research Article: Inter-population morphological variability of the round sardinella (Sardinella aurita Valenciennes, 1847) in the Algerian Coast based on body morphometric, meristic and otolith shape

Several studies on the round sardinella, Sardinella aurita (Valenciennes, 1847) have focused on the identification of stock composition and boundaries, using one method of discrimination. In this study, three approaches (body morphometric, meristic character (vertebrae number) and otolith shape) were applied on the population of round sardinella along the Algerian Coast in the Mediterranean Sea in order to obtain useful information for the management of this resource. 627 specimens were collected from nine locations from December 2018 to January 2019. The linear discriminant analysis (LDA) applied on both body morphometric characters and the otolith shape which indicated significant difference between areas with a low rate of classification success (47% for body morphometric analysis and 37.5% for otolith shape analysis), the misclassification percentage for each sampling location was explained by the proximity of the sites. Grouping samples into three regions according the Algerian coastline division reduced the misclassification rate; the overall random assignment of individuals into their original sample obtained by LDA was 70% for the morphometric characters, and 55% for the otolith shape. However, no significant difference was found between areas using the analysis of the number of vertebrae. No significant sexual effects were observed on the body morphometric characters, on the otolith shape and on the number of vertebrae.
RAPD-PCR and phylogenetic analysis of E. coli isolated from human and cattle urinary tract infections

Article history: Received August 10, 2021 Accepted October 29, 2021 Available online December 8, 2021 This study aimed at isolating uropathogenic Escherichia coli from urinary tract infections (UTIs) of human and cattle to examine the molecular diversity and phylogenetic relationship of the isolates. A total of 100 urine samples were collected from UTIs of human and cattle. The isolates identification was done using routine diagnostic methods and confirmed by Vitek2. Antimicrobial susceptibility was tested against 10 antimicrobials. Random amplified polymorphic DNA (RAPD)-polymerase chain reaction (PCR) was applied to identify the genetic diversity among E. coli isolates from human and animal origin by using five different octamer primers. The gelJ software for the phylogenetic analysis created Dendrograms. Out of 50 human urine samples, E. coli was isolated from 12 (24%) samples, and was positive in 5 out of 50 (10%) of cattle urine samples. Concerning the antimicrobial susceptibility test, both human and animal isolates revealed rather approximate results when tested mainly against imipenem, cefotaxime, and ciprofloxacin. These antimicrobial data might indicate presence of a degree of similarity between the human and animal isolates. Using RAPD-PCR, three of the primers produced polymorphic bands; therefore, they were used for further analysis of the results. Either of P1, P3 or P4 primers showed presence of similarity between human and cow isolates. To conclude, RAPD-PCR and gelJ software might be of attractive use to identify and analyze the occurrence of genetic relationships, as this could assist in controlling the routes and sources of infection transmission between human and animal in order to prevent zoonotic infections.
The role of indigenous and external knowledge in development interventions with disabled people in Burkina Faso : the implications of engaging with lived experiences

This paper explores the significance of engaging with the lived experiences of disabled people in countries like Burkina Faso in order to implement long-lasting and beneficial development. It looks at the way disability was conceived of in pre-colonial times and how knowledge imported from the colonisers conflicted with, and continues to influence today, indigenous knowledge in Burkina Faso. Although Burkina Faso obtained its independence from European colonisers over fifty years ago, disability as a terrain for intervention continues to be colonised by international non-governmental organisations (INGOs) that frame their approaches in western models, which are not necessarily applicable in countries like Burkina Faso. In a context where the predominant view of disability is that of disabled people being an economic burden, many disabled people in Burkina Faso feel the need to prove themselves as economically independent; and yet development agencies often do not engage with disabled people’s voices when designing and implementing development programmes. This paper argues that there is a need to engage with disabled people’s lived experiences and knowledges through processes such as participatory video which create spaces where marginalised people’s voices can be heard and listened to by the development agencies that influence disabled people’s lives.
PROGRESSIVELY ATTENTIVE GANS

Face completion is a challenging task with the difficulty level increasing significantly with respect to high resolution, the complexity of “holes" and the controllable attributes of filled-in fragments. Our system addresses the challenges by learning a fully end-to-end framework that trains generative adversarial networks (GANs) progressively from low resolution to high resolution with conditional vectors encoding controllable attributes. We design a novel coarse-to-fine attentive module network architecture. Our model is encouraged to attend on finer details while the network is growing to a higher resolution, thus being capable of showing progressive attention to different frequency components in a coarse-to-fine way. We term the module Frequency-oriented Attentive Module (FAM). Our system can complete faces with large structural and appearance variations using a single feed-forward pass of computation with mean inference time of 0.54 seconds for images at 1024× 1024 resolution. A pilot human study shows our approach outperforms state-of-the-art face completion methods. The code will be released upon publication.
The counting process and summation of a random number of random variables

The behavior of the tail of the sum of a random number of random variables F (x) = P{ ∑ν i=1 ξi > x} is considered as x → ∞. Estimates of the convergence of F (x) to the limit function are constructed in terms of renewal theory. The estimates are based on the variance Var ν(t) of the counting process ν(t) = min { n : ∑n i=1 ξi > t } . A survey of bounds for Var ν(t) is given for different sequences {ξi}, in particular, for the case where the terms of the sequence {ξi} are not identically distributed.
Perceptions of Occupational Cancer Risk and Prevention Among Dominican Republic Firefighters

Dominican Republic firefighters are willing to adopt cancer prevention practices, however: 1) availability of personal protective equipment; 2) toxic exposure during fire suppression; 3) work-related stress; 4) lack of workplace health promotion activities; 5) Dominican culture impacting medical checkups; and 6) expensive medical copays limiting healthcare access hamper cancer prevention. Objectives: Characterize occupational cancer risk perceptions and attitudes toward cancer prevention practices among firefighters in the Dominican Republic. Methods: Focus group discussions and key informant interviews were conducted in June 2019 among firefighters from three fire departments. Themes were inductively created using a qualitative descriptive approach. Results: Thirty-seven firefighters were interviewed with a group mean age of 36.2 ± 10.3 years, of which 97.3% were male, and 37.1% worked at least 10 years. Six themes emerged: 1) availability of personal protective equipment (PPE); 2) toxic exposure during fire suppression; 3) work-related stress; 4) lack of workplace health promotion activities; 5) Dominican culture impacts medical checkups; and 6) expensive medical copays limits healthcare access. Conclusion: Dominican firefighters are willing to adopt cancer prevention practices, however organizational barriers (ie, PPE availability, cultural barriers, and health promotion practices) limit engagement.
The Design and Implementation of a Low-Power Gating Scan Element in 32/28 nm CMOS Technology

Excessive power consumption during test application time has severely negative effects on chip reliability since it has an inevitable role in hot spots that appear, degradation of performance, circuit premature destruction, and functional failures. In scan-based designs, rippling transitions caused by test patterns shifting along the scan chain not only elevate power consumption in the scan chain but also introduce spurious switching activities in the combinational logic. In this work, a new low power gating scan cell for scan based designs has been proposed in order to reduce power consumption in the scan chain as well as the combinational part during shifting. We have modified the conventional scan cell and augmented it with state preserving and gating logic that enables an average power reduction in combinational logic during shift mode. The new scan cell mitigates the number of transitions during shift and capture cycles. Thus, it reduces the average power consumption inside the scan cell and as a result the scan chain during scan shifting with a low impact on peak power during the capture cycle. Furthermore, due to introducing a new shorter shift path, improvements are observed in terms of propagation delay and power consumption in the scan chain during shifting. This leads to higher feasible shift frequency whereby the shift frequency is limited by the maximum power budget and hence results in reducing the test application time. The post-layout spice simulation results show a 7.21% reduction in total power consumption, an average 12.25% reduction of shift power consumption, and a 50.7% improvement in the clock (CLK)-to-shift propagation delay over the conventional scan cell in Synopsys 32/28 nm standard CMOS technology.
OPTIMAL DESIGN OF TUNNEL SUPPORT LINING USING MCBO ALGORITHM

In this paper, a systematic approach is presented for optimal design of tunnel support lining using two-dimensional finite element analysis models of soil-structure interaction developed in ABAQUS software and the Modified Colliding Bodies Optimization (MCBO) algorithm implemented in MATLAB environment. This approach is then employed to study the influence of variable geometrical and geo-mechanical parameters on the optimal design of a class of practical access tunnels.
Fruit-Based Non-Dairy Beverage: A New Approach for Probiotics

The growing interest of consumers in using foods that improve health has motivated researchers and the food industry to develop new functional products such as foods with probiotics. Probiotic cultures, for example, from lactic acid bacteria and bifidobacteria have been highlighted for their ability to promote balance in the intestinal microbiota as well as other benefits such as anticarcinogenic and antimutagenic effects, reduced plasma cholesterol levels, decreased symptoms of lactose intolerance, and stimulation of the immune response. Traditionally, probiotics are incorporated into dairy products. How-ever, because of the growing number of individuals affected by lactose intolerance and/or vegans, other food matrices have been studied as potential carriers for these microorganisms. Considering all the facts mentioned above, cereals, legumes, fruits, and vegetables could be potential substrates, where probiotic bacteria can be used for the development of non-dairy beverages. This review aimed to highlight the research carried out on 1) probiotic mi-cro-organisms, including the more recent reclassification according to their phylogenetic position, 2) probiotic beverages from non-dairy sources which emerged as an alternative for lactose-intolerant consumers and, 3) the aspects of improving the gut microbiota.
Toosendanin inhibits colorectal cancer cell growth through the Hedgehog pathway by targeting Shh

Colorectal cancer (CRC) is one of the most common gastrointestinal cancers worldwide. This complex and often fatal disease has a high mortality rate. The Hedgehog (Hh) signaling pathway is crucial in CRC. Many studies have indicated that Shh is overexpressed in cancer stem cells (CSCs), and shh overexpression is positively correlated with CRC tumorigenesis. New drugs that kill CRC cells through the Hh pathway are needed. Toosendanin (TSN), a natural triterpenoid saponin extracted from the bark or fruit of Melia toosendan Sieb. et Zucc, can inhibit various tumors. Here, we investigated the effects of TSN in CRC and explored the possible targets and mechanisms. Shh‐Light Ⅱ cells were treated with TSN and tested by dual luciferase reporter assays to determine the relationship with the Hh pathway. Cell Counting Kit‐8 (CCK‐8) assays were used to test the inhibitory effects of TSN on CRC cells. The expression of Hh components after TSN treatment was detected using western blots and quantitative reverse transcription polymerase chain reaction. Cellular thermal shift assays confirmed the targets of TSN. The same effects of TSN on xenograft tumor growth were investigated in vivo. The average weight, volume of the finally resected tumor, and the expression of Shh in the TSN‐treated groups were significantly lower than those of the control group. This result strongly suggested that TSN administration inhibited CRC growth in vivo. Our research preliminarily demonstrated that the target of TSN was Shh and that TSN inhibits CRC cell growth by inhibiting the Hh pathway, identifying a new anticancer molecular mechanism of TSN in CRC.
Analysis Corporate Entrepreneurship in SOEs at Mining Sector with Private Companies as Comparative Study

Competition between state-owned enterprises (SOEs) and private mining companies are getting bigger and stronger, but state-owned holding companies such as MIND ID have decreased performance due to several factors such as business focus and small business scale. This should be supported by the optimization of resources and the transformation of the competence of each employee to encourage the entrepreneurial spirit. This study was conducted to examine the corporate entrepreneurship culture in three state owned mining companies (PT. ABC, PT. DEF, and PT. GHI) and compared with private mining companies (PT. XYZ, PT. OPS, and PT. RTU). This study uses two methods, Entrepreneurial Orientation Survey (EOS) and Entrepreneurial Leadership Questionnaire (ELQ). EOS is used to measure corporate entrepreneurship culture and ELQ to see entrepreneurial characteristics in expected leadership and actual conditions of its implementation. EOS results show that the corporate entrepreneurship culture of mining SOEs has advantages in Cross-Functionality and Support to New Ideas while private mining companies have significantly higher Speed and Focus dimensions than mining SOEs. The ELQ results show that mining SOEs have the type of leadership in entrepreneurship (Miner type) and the leadership type of private mining companies in Explorer has a higher score than mining SOEs. Mining SOEs are advised to increase the dimensions of corporate entrepreneurship, one of which is by providing scholarships for employees taking magister program and creating a competition program that supports future innovation also the companies should provide training on corporate entrepreneurship.
OPTIMIZING THE CONTAINER TRUCK PATHS WITH UNCERTAIN TRAVEL TIME IN CONTAINER PORTS

The yard template problem in container ports determines the assignment of space to store containers for the vessels, which could impact container truck paths. Actually, the travel time of container truck paths is uncertain. This paper considers the uncertainty from two perspectives: (1) the yard congestion in the context of yard truck interruptions, (2) the correlation among adjacent road sections (links). A mixed-integer programming model is proposed to minimize the travel time of container trucks. The reliable shortest path, which takes the correlation among links into account is firstly discussed. To settle the problem, a Shuffled Complex Evolution Approach (SCE-UA) algorithm is designed to work out the assignment of yard template, and the A* algorithm is presented to find the reliable shortest path according to the port operator’s attitude. In our case study, one yard in Dalian (China) container port is chosen to test the applicability of the model. The result shows the proposed model can save 9% of the travel time of container trucks, compared with the model without considering the correlation among adjacent links.