Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring Parameters for speech quality in cellular networks

—The rapid growth of cellular networks in recent years results into the need of optimization of networks, so that they provide a better service to customer without any interruption. The needs of a Cellular operator include proper delivery of data and voice to the Mobile Stations or user equipments. Speech quality experienced by the end user can be regarded as one of the most significant quality aspects of mobile communication. This paper includes a review of the Key Performance Indicator (KPI) parameters based Speech Quality Index (SQI) in details that are used to enhance the ability of the cellular network to provide techniques to improve Quality of Service. Speech Quality methods can categorized based on measure and performance evaluation which motivate why speech quality measure is important and possible in given radio link status. SQI is technique that allows cellular network to provide measurement of speech quality that has applications from equipment installation to daily network maintenance and benchmarking, it is an important contributing factor to the success of a product and to the success of the communication itself.
Reconstructing the nonadaptive radiation of an ancient lineage of ground-dwelling stick insects (Phasmatodea: Heteropterygidae)

Stick and leaf insects (Phasmatodea) are large terrestrial herbivorous arthro-pods known for masquerading as plant parts such equal rank among Obriminae, the Hoplocloniini trib. nov. and Obrimini sensu nov . Within the latter, we demonstrate that previous tribal assignments do not reflect phylogenetic relationships and that a basal splitting event occurred between the wing-bearing clade Miroceramia + Pterobrimus and the remaining wingless Obrimini. The Philippine genus Tisamenus is paraphyletic with regard to Ilocano hebardi , thus, we transfer the latter species to Tisamenus as Tisamenus hebardi comb. nov. and synonymize Ilocano with Tisamenus . We discuss character transformations in the light of the new phylogenetic results and conclude that the current taxonomic diversity appears to be mainly driven by allopatry and not to be the result of niche differentiation. This radiation is thus best described as a nonadaptive radiation. outgroup (clusters). in iq-tree with the number of randomly drawn quartets set revealing potential incongruences among single genes, repeated the for each separately.
IJBPAS, December, 2013, 2(12): X-X GENOTYPING OF THE GENUS PROTEUS BY 16SRRNA AND RPOB SEQUENCE ANALYSIS

Comparison of the sequences of conserved genes, most commonly those encoding 16SrRNA is used for bacterial genotypic identification, but it has the disadvantages that it is often multiple-copy, has little resolution below the species level. So, in this study we also investigated the usefulness of the single-copy, protein-coding rpoB (RNA polymerase beta-subunit) marker as an alternative tool for bacterial genotypic identification at the species level by amplifying and sequencing. We generated a database of partial 16SrRNA gene for three Proteus species and partial rpoB gene for five Proteus strains and then assessed the inter and intra species divergence between the 16SrRNA and rpoB genes by pairwise comparison. The 16SrRNA gene sequence similarity observed among three Proteus species ranged from 92 to 97 %. Whereas, the rpoB gene sequence similarity among five Proteus strains was ranging from 87-98%. We found that levels of divergence between the rpoB sequences between different strains were markedly higher than those between their 16SrRNA genes. The results obtained in our phylogenetic analysis suggested that the rpoB gene can be used as an alternative molecular marker for genetic relatedness in the genus Prote us and a powerful tool identification, which may be useful for universal bacterial identification.
Implications of Mindsets on Academic Achievement

This study is a literature review to better understand continuing motivation and resiliency issues among students in the U.S. education system, and how educational reforms that continue to focus predominantly on increasing academic rigor in curricula and standardized testing may result in contributing to and further aggravating this problem. In particular, the review looks at the importance of psychological (noncognitive) factors, specifically the mindset and beliefs students hold towards learning and intelligence and ability, as a critical yet missing piece in education reform. The study provides insight into how the mindset a student holds (fixed or growth) has a cascade of significant implications for their approach to learning, overcoming challenges, and overall academic achievement, and how well-crafted mindset interventions have shown to be effective in raising student motivation, resilience and academic performance, especially with at risk, low income, and minority students. To conclude, the study explains some controversies and challenges in this field, and future research implications.
Internet of Things (IoTs) for Disaster Management

: It is critical that rescuers can track the caught victims and perform composed help actions quickly. The ordinary media transmission framework (e.g. a landline or cell system) might be either mostly or totally harmed by a catastrophe occurrence. Internet of Things (IoTs) is an encouraging innovation that can be utilized to take care of a portion of the issues said above. To date, the use of IoT in disaster administration is as yet an unexplored issue. The target of this paper is to concentrate the IoT-based proposition for disaster administration structure.
Dense stereo matching in the pursuit of an ideal similarity measure

The aim of stereo matching is to find a corresponding point for each pixel in a reference image of a stereo image pair in the other image. Corresponding points are projections onto the stereo images of the same scene point. Finding corresponding points is an essential problem in dense stereo matching. The relative displacement between the corresponding points in rectified stereo images is termed disparity. Stereo matching is ambiguous because of photometric issues, surface structure and geometric ambiguities. Finding corresponding points within uniformly colored regions or surfaces with repeating texture or structure is a huge problem. Some points do not have corresponding points due to occlusion or due to the limited field of view. We defined a probabilistic framework for stereo matching using a one-dimensional hidden Markov model. We showed that the particle filter and the particle filter followed by smoothing can be used in disparity estimation. We introduced and qualitatively compared five probabilistic algorithms for disparity estimation: the forward algorithm, the forward/backward algorithm, the Viterbi algorithm, the particle filter and the particle filter in combination with smoothing. We derived a new likelihood function for correspondence that is optimal in a probabilistic sense. We deviated from the squared window based likelihood in order to include only relevant pixels in the likelihood function. We introduced local stereo matching using sparse windows. This approach gave us a significant improvement compared to matching based on the complete windows. Further led by the idea that a different nature of texture requires a different approach to likelihood estimation, we redefined several of the most common assumptions and established a relationship between the texture and the fronto-parallel assumption and introduced local adaptive segmentation based on the local intensity variation. We redefined the Lambertian assumption for offset compensation and introduced novel preprocessing and postprocessing steps for accurate disparity map estimation. We demonstrated the performance of our algorithm on benchmark images from the Middlebury database and on own examples, and showed that the disparity maps of scenes of different natures are successfully estimated.
Improving of pelB-Secreted MPT64 protein released by Escherichia coli BL21 (DE3) using Triton X-100 and Tween-80

pelB has been known as a successful signal peptide to translocate the protein target extracellularly in the Escherichia coli system. However, in our previous study, the yield of MPT64 protein extracellular recovery was still low and plenty of this protein was remain trapped in cytoplasm and periplasm. Recently, nonionic surfactants were efficiently reported to secrete recombinant protein extracellularly. Nonetheless, it must be clarified whether the surfactant supplementation can improve the yield of MPT64 extracellular protein significantly without giving impact on the structure of isolated MPT64 protein and can minimized the cell lysis effect. MPT64 protein secretion was carried out by comparing the effects of surfactants Tween 80 and Triton × 100 at various concentrations. Triton × 100 was able to increase the extracellular MPT64 protein gain up to 3 times higher than Tween 80 and it was in line with the greater level ratio of cell leakage of Triton × 100 compared to that of Tween 80. Similarly, the viable cell of the cultures decreased dramatically. However, both surfactants did not interfere the structure of MPT64 protein. In conclusion, Triton × 100 can be chosen as the supporting surfactant to assist the act of peptide signal in improving the resulting of MPT64 extracellular protein.
A need to maximize updates on detecting keratoconus

I am honored to serve as the Associate Editor‐in‐Chief of the Saudi journal of ophthalmology, and it is my privilege to welcome you to the inaugural edition of the “Keratoconus Special Issue. ” I am grateful to the Executive Board of the Saudi Ophthalmological Society (SOS) and the Editor‐in‐Chief of this flourishing ophthalmic journal, for entrusting and allowing me to lead the first issue of 2022. A special issue provides an excellent opportunity to review a particular theme, adopt new technologies for imaging the human eye, propose and develop new approaches, exchange perspectives, and encourage new lines of research that align with Saudi 2030 vision to push the wheel of health‐care education and ensure the continued development of health‐care services.
The Play of Meaning and the Meaning of Play in Jazz

Trumpeter Don Cherry was fond of saying that ‘there is nothing more serious than fun’. And philosopher Hans Georg Gadamer (1993, p.102) seems to echo his words when he writes: ‘Seriousness is not merely something that calls us away from play; rather, seriousness in playing is necessary to make the play wholly play’. Individuals, communities and cultures the world over delight in the play of musical sound and debate its play of meanings. For specialists, musical discussion often hinges on cryptic symbols and impenetrable codes, but for everyone, understanding music relies on basic cognitive and social processes. By musicking together — to borrow Christopher Smalls’ (1998) evocative phrase for taking part in any way in musical activity — we bond with one another and create shared meanings. We also define or express ourselves within and against a musical community and a historical and cultural tradition. The world of jazz as a tradition provides a rich context for investigating the relationship between formal musical syntax, social interactive processes and cognitive and cultural understandings. In this essay I explore original jazz performances by John Coltrane (A Love Supreme) and Sonny Rollins (Freedom Suite) and recent reinterpretations by other artists for insight into the cognitive and social processes through which musical meanings are negotiated and renegotiated. My analysis draws on work in cognitive science with categorization and conceptual mapping and on the notion of signifyin(g) first proposed by Henry Louis Gates (1988) for African American cultural studies.
Energy Management Controller of a Resilient Micro-Grid for Critical Buildings

The continuous growth of electricity demand and ever-increasing society aware-ness of climate change issues directly affect the development of the electrical power systems. The adaptation of Renewable Energy Systems (RES) offers reduction to the gas emissions produced by the electricity production from fossil-fuel power generation but also causes vulnerability to the power system. Recent technologies can be embraced to enhance the robustness of electricity supply in critical buildings. This paper proposes a method which uses an advanced control scheme for enhancing the operation of the critical building micro-grid during power-cut by utilizing the RES production. The method offers two different power management strategies (depending on the expected power system recovery time) for a resilient hospital micro-grid that includes RES; achieving longest autonomy of the micro-grid in island mode, or maximizing the load served within the micro-grid. The proposed method will be verified by simulation and selected results will be presented. The investigates a smart which measures and regulates the power demand of a critical building (using a hospital as case-study), the power consumed by the the power supplied by the grid and by the battery system, and the power generated by the additional generator and by the RES. micro-grid during power-cut Depending expected power system recovery extended autonomy of the micro-grid in island mode, while second strategy served more electrical loads within the micro-grid. The proposed methods were verified by simulation results and selected results were presented.
Deployment of LSTMs for Real-Time Hand Gesture Interaction of 3D Virtual Music Instruments with a Leap Motion Sensor

The aim of this paper is to explore deep learning architectures for the development of a real-time gesture recognizer for the Leap Motion Sensor that will be able to continuously classify sliding windows into targeted gesture classes related to responsive interactions that are used in controlling the performance with a virtual 3D musical instrument. In terms of responsiveness it is assumed that the gestures can be recognized within a small time interval, while the employed gestures are inspired by interaction with real-world percussive and string instruments. The proposed method uses a Long Short-Term Memory (LSTM) network on top of a feature embedding layer of the raw data sequences as input, to map the input sequence to a vector of ﬁxed dimensionality which is subsequently passed to a dense layer for classiﬁcation among the targeted gesture classes. The performance evaluation of the proposed sys-tem has been carried out on a dataset of hand gestures of 8 classes with 11 participants. We report a recognition rate of 92.62% for a 10-fold cross-validation setup and 85.50% for a cross-participant setup. We also demonstrate that the later recognition rate can be further improved by adapting the trained model with the addition of few user gesture samples in the training set.
Distribution of Unique Sequences in the Human Genome

Programmable sequence-specific endonucleases are powerful tools for genome alteration with high precision. For example, the CRISPR system is an efficient tool for genome engineering in eukaryotic cells by simply specifying a 20-bp targeting sequence within its guide RNA. When studying large genomes, however, the design of target sequences is complicated by the redundancy of sequences. The distribution of unique sequences in the genome is of interest. In this paper, I describe the development of a novel method, UF, for detecting unique 20-bp sequences in entire genomes. UF stands for “Unique Finder”. By using UF, the distribution of unique sequences in the human genome was investigated. It was found that 60% of the human genome is unique on average. However, non-unique regions of human genome are concentrated on centromeres and terminal regions of the chromosomes. The proportions of unique sequences are about 80% in the rest part of the genome. The program for obtaining unique sequences is available at https://sourceforge.jp/projects/
THE ADVANTAGES AND DISADVANTAGES OF STATIN THERAPY FOR DYSLIPIDEMIA

Background: More than three quarters of cases of atherosclerosis are directly caused by abnormalities in lipids profile, which is known as dyslipidemia. Atherosclerosis is considered one of the most causes leading to death around the world. the treatment of dyslipidemia is considered one of the important measures to decrease the risk of cardiovascular events. Effective use of statins leads to improvement in overall mortality and reduce the number of cardiovascular events up to 20%. Methodology: We conducted this review using a comprehensive search of MEDLINE, PubMed, and EMBASE, January 1985, through February 2017. The following search terms were used: statin, hyperlipidemia, advantages of statin therapy, disadvantages of statin therapy, adverse effects of statin therapy, dyslipidemia management Aim: In this review, we aim to study the impact of dyslipidemia, understand statin therapy, and focus on its advantages and disadvantages. Conclusion: Among all proposed therapies, the use of statins has been associated with best outcomes and highest efficacy. Statins have been found by most studies to achieve the best results in reducing the concentrations of LDL cholesterol and hence the risk of developing cardiovascular diseases. Statins have been tested and proven efficient on most subpopulations, with different efficacy related to each type of statins. In addition to their high efficacy, statins have a relatively safe profiles with no significant adverse events. The most common adverse events following the treatment of statins is the development of muscle pain or myopathy, which is most likely self-limited and recovers following the cessation of the disease. Other possible adverse events include diabetes mellitus type 2 and the development of hemorrhagic strokes.
Innovative Food Systems Teaching and Learning: overcoming disciplinary and teaching silos to fix the food system

While inter-university and interdisciplinary research projects are very common in Higher Education (HE), inter-university and interdisciplinary teaching programmes are still very rare. This paper reflects on the first year of the Innovative Food Systems Teaching and Learning (IFSTAL) programme. IFSTAL is a three-year project funded by the Higher Education Funding Council for England (HEFCE) with the aim of bringing together postgraduate students from very different programmes to learn about food and farming beyond their own disciplines. IFSTAL creates learning environments and activities that encourage students to think systemically about the transdisciplinary challenges facing the food system. IFSTAL combines both face to face events and an inter-university virtual learning environment (VLE) that was created from scratch for this project. At the end of its first year, a survey was carried out to evaluate the programme and inform the structure for year two (Y2). Survey data revealed students preferred interacting at face to face events over the shared VLE. The programme for Y2 was re-designed to incorporate more flipped classroom features with an andragogy-based approach.
ENDO-RESTORATIVE RELATIONSHIP

: Introduction: The primary goal of endodontic therapy is to prevent and treat apical periodontitis. Proper cleaning and shaping of canals, irrigation, and coronal seal are essential to achieving this goal while restorative dentistry aims to restore teeth to comfort, function and aesthetics. The relationship between restorative dentistry and endodontic has been established although the concepts related to treatment plans is ambivalent. With the advent of advanced dentistry, emphasis should be given on restorability of teeth before endodontic treatment. The aim of work: The review focuses on the decision in treatment planning and endodontic-restorative interface to best restore teeth following endodontic treatment. Methodology: We conducted this review using a comprehensive search of MEDLINE, PubMed, and EMBASE, January 1985, through February 2017. The following search terms were used: Endodontic treatment, Restorative dentistry, Post and Core Conclusion: With the emergence of advanced dentistry such as implants, more emphasis is given on long-term outcome of treatment thus evaluation of restorability of teeth before endodontic treatment is important. The treatment is not well served if tooth fails despite successful endodontic treatment. controversial. Evaluation of restorability endodontic treatment, preservation of radicular and coronal dentin, ferrule effect, selection of appropriate post and a core according to the case and loss of tooth structure, stress distribution, fracture resistance and the possibility of micro-leakage and bacterial invasion are important factors to the best outcome of final restoration post-endodontic treatment.
Biomechanics of the Lower Extremity Dynamic Balance Tests: Kinematics and Electromyography Analysis of the Y-Balance Test and the Star Excursion Balance Test

ii Acknowledgments . iv List of Tables . xi List of Figures . xii Chapter I: Introduction . 1 Purpose . 5 Significance. 5 Research Questions . 5 Hypothesizes . 6 Hypothesis 1. 6 Hypothesis 2. 6 Hypothesis 3. 6 Hypothesis 4. 7 Limitations . 7 Limitation 1 . 7 Limitation 2 . 7 Limitation 3 . 7 Delimitations . 7 Delimitations 1 . 7
A Study of Relationship between Emotional Intelligence and Reasoning Ability among College Students

The aim of the present study is to study the relationship between emotional intelligence and reasoning ability among college students . The study was conducted to a sample of 150 college students (75 boys and 75 girls). Emotional intelligence scale and Reasoning ability test was used to collect data. The data was analysed using t-test. The results of the study revealed that the students possessing high emotional intelligence have better reasoning ability as compared to the students who are having low emotional intelligence. Emotional intelligence played a major role in facilitating reasoning ability of college students.
APL-1, the Alzheimer’s amyloid precursor protein in C. elegans , modulates multiple metabolic pathways throughout development

Mutations in the amyloid precursor protein ( APP ) gene or in genes that process APP are correlated with familial Alzheimer’s disease. The biological function of APP remains unclear. APP is a transmembrane protein that can be sequentially cleaved by different secretases to yield multiple fragments, which can potentially act as signaling molecules. Caenorhabditis elegans encodes one APP-related protein, APL-1, which is essential for viability. Here, we show that APL-1 signaling is dependent on the activity of the FOXO transcription factor DAF-16 and the nuclear hormone receptor DAF-12 and influences metabolic pathways such as developmental progression, body size, and egg-laying rate. Furthermore, apl-1(yn5) mutants, which produce high levels of the extracellular APL-1 fragment, show an incompletely penetrant temperature-sensitive embryonic lethality. In a genetic screen to isolate mutants in which the apl-1(yn5) lethality rate is modified, we identified a suppressor mutation in MOA-1/R155.2, a receptor-protein tyrosine-phosphatase, and an enhancer mutation in MOA-2/B0495.6, a protein involved in receptor-mediated endocytosis. Knockdown of apl-1 in an apl-1(yn5) background caused lethality and molting defects at all larval stages, suggesting that apl-1 is required for each transitional molt. We suggest that signaling of the released APL-1 fragment modulates multiple metabolic states and that APL-1 is required throughout development.