Miracle-dz/UniFAR-FTUs huggingface dataset:
The calculation of the femoral condyle cartilage volume and surface area in patients with osteoarthritis

178 Erciyes Med J 2020; 42(2): 178–84 • DOI: 10.14744/etd.2020. 75768 ORIGINAL ARTICLE – OPEN ACCESS This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Demet Ünalmış , Niyazi Acer , Seher Yılmaz , Adem Tokpınar , Serap Doğan , Hüseyin Demir The Calculation of the Femoral Condyle Cartilage Volume and Surface Area in Patients with Osteoarthritis Objective: Osteoarthritis is non-inflammatory, degenerative, and chronic disease observed, especially as progressive in loadbearing joints. There are several studies that measure the volume and surface area of the knee joint cartilage in osteoarthritis patients. However, different methods were used in these studies. Materials and Methods: Our study population consisted of 25 patients with osteoarthritis of the knee. Twenty-five healthy individuals were included in this study as a control group. In our study, planimetry and quadratic ruler method, which are among stereological methods, were used over magnetic resonance imaging (MRI) to measure the femoral condyle cartilage volume and surface area. Results: The average cartilage volume measurement 6.54 cm in the female patient group and 13.51 cm in the female control group. In this measurement, 7.49 cm in male patients was measured in the control group 15.71 cm. In the statistical comparison between the groups, it was determined that the values in the patient group decreased significantly compared with the control group (p<0.001). Conclusion: When compared with the literature, it is concluded that our method may be used as a valid method because the survey results are close to each other and the average values.
Mendeteksi Cyberhate pada Twitter Menggunakan Text Classification dan Crowdsourced Labeling

During the 2019 presidential election campaign in Indonesia, a lot of support was made by the community with various forms of support, such as poster distribution or even content on social media. For example, in social media such as Twitter, there were many support tags during the presidential election, such as #2019gantipresiden, #2019tetapjokowi, and other hashtags related to the Indonesian presidential election. However, many hate speeches are contained in tweets with the related hashtag. Hate speech on the internet (cyberhate) could cause disputes between support groups of the two presidential candidates which cause conflicts such as riots and other actions that harm the country. This study uses the SVM algorithm to detect cyberhate that produces the best accuracy of 97%. Also, this study applies crowdsourced labeling in dataset labeling which results in 98% valid data.
Donor-and site-specific N-glycosylation analysis of human Fc γ Receptor IIIA from primary natural killer cell

Asparagine (N) linked glycosylation is one of the most prevalent protein modifications; nearly all cell surface and secreted proteins are N-glycosylated. The N-glycan structure present on a protein depends on cell’s expression levels of glycan remodeling enzymes, interaction of the N-glycan with glycan or polypeptide residues and substrate availability. These factors contribute to a vast diversity of N-glycan structures that can be present on a protein expressed by a specific cell and renders N-glycan characterization difficult. Identification of N-glycans on endogenous immunological cell surface receptors pose an additional challenge. Availability of surface receptors is relatively limited. Nonetheless, they represent an important class of proteins which regulate vital immune functions. FcγRIIIA (CD16a) is one such receptor expressed by human natural killer cell (NK cell) and monocyte. Engagement with its ligand, immunoglobulin G (IgG), triggers target cell death and cytokine release. This potential of CD16a signaling has been used to develop monoclonal antibody therapies, wherein a higher CD16a-IgG affinity correlates with better efficacy. CD16a has five N-glycosylation sites and in-vitro binding studies have shown that glycans at N45 and N162 are important for high affinity CD16a-IgG1 interactions. In this study we determined the site-specific N-glycosylation profile of CD16a isolated from NK cells and monocytes isolated from individual donors. An immunoprecipitation strategy was developed to maximize protein yields. Moreover, liquid chromatography coupled mass spectrometry methods were optimized to identify the CD16a glycoforms. Tetraantennary complex type N-glycans with LacNAc repeats were identified at N38 and N74, while biantennary complex type N-glycans at N162 and N169. N45 had higher abundance of relatively under-processed glycoforms. We also identified donor-dependent variability at N162 and N45,
Error-Correcting and Verifiable Parallel Inference in Graphical Models

We present a novel framework for parallel exact inference in graphical models. Our framework supports error-correction during inference and enables fast verification that the result of inference is correct, with probabilistic soundness. The computational complexity of inference essentially matches the cost of w-cutset conditioning, a known generalization of Pearl's classical loop-cutset conditioning for inference. Verifying the result for correctness can be done with as little as essentially the square root of the cost of inference. Our main technical contribution amounts to designing a low-degree polynomial extension of the cutset approach, and then reducing to a univariate polynomial employing techniques recently developed for noninteractive probabilistic proof systems.
A dual‐band dual‐mode microstrip Yagi antenna with quasi‐end‐fire radiation

A dual‐band dual‐mode microstrip Yagi antenna with quasi‐end‐fire radiation patterns is proposed in this paper. It consists of five radiating patches driven by a single slot‐loaded patch placed in the middle. Meanwhile, two slot‐loaded parasitic patches are symmetrically located on two sides of the driven patch, respectively. In the lower band, the five patches involved resonate at TM01 mode. While in the upper band, all the patches resonate at TM02 mode. In order to ensure quasi‐end‐fire radiations in the both bands, four slots are symmetrically etched around the strongest surface currents of each patch resonating at TM02 mode. As a result, the resonant frequency of TM02 mode is decreased dramatically, while the resonant frequency of TM01 mode almost remains unchanged. With these arrangements, the separations between any two of the adjacent patches at their centers satisfy the requirements in design of the microstrip Yagi antenna in both bands, so as to realize the dual‐band dual‐mode microstrip Yagi antenna on a single‐layer substrate. Finally, an antenna prototype is fabricated and tested. The measured results reveal that the dual operating bands of 2.76~2.88 and 4.88~5.03 GHz for |S11| < −10 dB are satisfactorily achieved. Most importantly, the proposed antenna can indeed realize the quasi‐end‐fire radiation patterns in dual operating bands.
A Digital Intervention for Adolescent Depression (MoodHwb): Mixed Methods Feasibility Evaluation

Background Treatment and prevention guidelines highlight the key role of health information and evidence-based psychosocial interventions for adolescent depression. Digital health technologies and psychoeducational interventions have been recommended to help engage young people and to provide accurate health information, enhance self-management skills, and promote social support. However, few digital psychoeducational interventions for adolescent depression have been robustly developed and evaluated in line with research guidance. Objective We aimed to evaluate the feasibility, acceptability, and potential impact of a theory-informed, co-designed digital intervention program, MoodHwb. Methods We used a mixed methods (quantitative and qualitative) approach to evaluate the program and the assessment process. Adolescents with or at elevated risk of depression and their parents and carers were recruited from mental health services, school counselors and nurses, and participants from a previous study. They completed a range of questionnaires before and after the program (related to the feasibility and acceptability of the program and evaluation process, and changes in mood, knowledge, attitudes, and behavior), and their Web usage was monitored. A subsample was also interviewed. A focus group was conducted with professionals from health, education, social, and youth services and charities. Interview and focus group transcripts were analyzed using thematic analysis with NVivo 10 (QSR International Pty Ltd). Results A total of 44 young people and 31 parents or carers were recruited, of which 36 (82%) young people and 21 (68%) parents or carers completed follow-up questionnaires. In all, 19 young people and 12 parents or carers were interviewed. Overall, 13 professionals from a range of disciplines participated in the focus group. The key themes from the interviews and groups related to the design features, sections and content, and integration and context of the program in the young person’s life. Overall, the participants found the intervention engaging, clear, user-friendly, and comprehensive, and stated that it could be integrated into existing services. Young people found the “Self help” section and “Mood monitor” particularly helpful. The findings provided initial support for the intervention program theory, for example, depression literacy improved after using the intervention (difference in mean literacy score: 1.7, 95% CI 0.8 to 2.6; P<.001 for young people; 1.3, 95% CI 0.4 to 2.2; P=.006 for parents and carers). Conclusions Findings from this early stage evaluation suggest that MoodHwb and the assessment process were feasible and acceptable, and that the intervention has the potential to be helpful for young people, families and carers as an early intervention program in health, education, social, and youth services and charities. A randomized controlled trial is needed to further evaluate the digital program.
Sleep and Educational Environment: How do Children in Public/Private School, and Homeschool Settings Differ in Sleep, Subjective Well-Being, and Emotional Intelligence?

2 Acknowledgments . 3 List of Tables . 7 List of Figures . 8 Chapter I: Introduction . 9 Rationale . 13 Significance to Counseling Psychology . 15 Definitions and Operational Definitions . 16 Research Questions . 18 Hypotheses . 19 Null Hypothesis . 19 Research Hypotheses . 20 Replication Hypotheses from the Literature (Meltzer et al., 2016) . 20 Chapter II: Review of the Literature . 23 Homeschooling . 23 Sleep and Positive Outcomes . 25 Sleep and School Start Time . 27 Sleep and Emotional Intelligence . 28 Emotional Intelligence in Educational Settings . 29 Emotional Intelligence and Academic Achievement . 31 Subjective Well-Being and Children . 32 Emotional Intelligence and Subjective Well-Being . 33
The effect of stabilization exercises on lumbar lordosis in patients with low back pain

Background and Purpose: There is a hypothesis that restoring the lumbar lordosis will increase a patient's voluntary muscular strength and decrease back pain symptoms. This study aimed to evaluate the effects of stabilization exercises on lumbar lordosis and functional improvement. Methods: Thirty-two patients with chronic low back pain (LBP) were recruited through simple nonprobability sampling for this double-blind, randomized clinical trial, performed at the Razmejo-Moghadam Physiotherapy Clinic, Zahedan University of Medical Sciences. Participants were randomly assigned to either stabilization exercise group (n = 16) or control group (n = 16). Before and after intervention, we assessed pain (ordinal) through the McGill Pain Questionnaire, disability (ordinal) with the Oswestry Disability Index (ODI), and lumbar curve (degree) with flexible ruler. Twelve sessions daily exercise program was performed for both groups. t-tests were used for data analysis (P < 0.05). Results: Amount of lumbar curve was significantly changed after training in both groups (P < 0.05). Pain score and The ODI also showed significant change after intervention in both groups (P < 0.05). There was no significant differences between both groups in lumbar curve variable (P > 0.05). However, pain score and Oswestry score showed significant differences between two groups after intervention (P < 0.05). Conclusion: The results showed that both lumbar stabilization and routine physiotherapy cause decreasing in pain, disability, and change lumbar lordosis in patients with chronic LBP. Therefore, lumbar curve evaluation and therapeutic exercise for restoration lumbar curve were recommended.
Begutachtung von Hörschäden

Zusammenfassung Die Beurteilung von Hörschäden ist eine häufige Fragestellung in HNO-Gutachten, hierzu zählt die Bewertung von Hörschäden als Unfallfolge, z. B. durch eine Kopfverletzung oder ein akut aufgetretenes Schalltrauma. Schwerhörigkeit als Folge einer beruflich bedingten chronischen Lärmeinwirkung gehört zu den am häufigsten bewerteten Berufskrankheiten überhaupt. Dieser Beitrag beleuchtet die Schadensbewertung und entsprechende Rechtsgrundlagen.
Single cell tri-channel-processing reveals structural variation landscapes and complex rearrangement processes

Structural variation (SV), where rearrangements delete, duplicate, invert or translocate DNA segments, is a major source of somatic cell variation. It can arise in rapid bursts, mediate genetic heterogenity, and dysregulate cancer-related pathways. The challenge to systematically discover SVs in single cells remains unsolved, with copy-neutral and complex variants typically escaping detection. We developed single cell tri-channel-processing (scTRIP), a computational framework that jointly integrates read depth, template strand and haplotype phase to comprehensively discover SVs in single cells. We surveyed SV landscapes of 565 single cell genomes, including transformed epithelial cells and patient-derived leukemic samples, and discovered abundant SV classes including inversions, translocations and large-scale genomic rearrangements mediating oncogenic dysregulation. We dissected the ‘molecular karyotype’ of the leukemic samples and examined their clonal structure. Different from prior methods, scTRIP also enabled direct detection and discrimination of SV mutational processes in individual cells, including breakage-fusion-bridge cycles. scTRIP will facilitate studies of clonal evolution, genetic mosaicism and somatic SV formation, and could improve disease classification for precision medicine.
Assessment of Thyroid Function Parameters among Sudanese Pregnant Women in Different Trimesters

Background: The thyroid gland plays an important role in pregnancy outcome as well as in fetal development. The changes caused by pregnancy in the mother establish a new homeostatic equilibrium. Thyroid disorders are common during pregnancy, and adequate treatment is essential to prevent adverse maternal and fetal outcomes. Objectives: To assess FT3, FT4 and TSH levels in pregnant Sudanese women, and to correlate their levels with the gestation age. Materials and Methods: This analytical cross-section study was performed at Teanbool hospital obstetrics gynaecology department in state- Sudan, during the period from January to October 2017. 150 samples were collected from pregnant women (50 in first, 50 in second and 50 in third trimester) as a study group. In addition to other 50 non-pregnant healthy women and Research respectively), whereas TSH is insignificantly correlated with gestation age in the test group (r= 0.14, p = 0.34). Conclusion: The study revealed a significant decrease in both FT3 and FT4 levels in the pregnant women, with significant negative correlation with gestation age.
Social and technical chains-of-effects in business-to-business (B2B) service relationships

This paper aims to combine the social–technical systems and social exchange theories with the resource-based view of the firm, to investigate how business-to-business (B2B) service firms manage their social and technical resources to manage customer relationships. ,An online survey-based study with 321 managers working in Australian small and medium (SME) firms is used to test hypotheses about the sequential and substitutional impact of four social and technical resources (service quality, satisfaction, trust and commitment) on customer loyalty, using both offline and online platforms. ,The findings show that both social and technical chains of effects are viable channels for B2B service firms to build customer loyalty; however, mixing of both social and technical resources results in the weakening of both these chains. ,The results based on B2B service relationships between Australian SME firms and their banks may not be generalizable to other contexts. ,This research would help managers in B2B service firms understand the pitfalls of combining their social and technical resources because it may hamper their ability to build customer loyalty. Hence, they need to learn how to synergize their marketing resources across both offline and online platforms to achieve optimal results. ,This research introduces social and technical chains of effects as a novel way to examine the ability of B2B service firms to optimize their social and technical resources in a synergistic manner to build and nurture stronger customer relationships.
Aikido: Structuring data point identifiers of technical building equipment by machine learning

Building automation and control systems (BACS) generate large amounts of data. Manual interpretation of the data, e.g. for identifying energy efficiency measures, is in many cases either too costly or too complex. In order to reduce the manual effort of building data analysis, it is necessary that the labeling of data points is human- and machine-readable. As there is currently no widely accepted standard for labeling, these labeling texts differ greatly. We developed an algorithm based on Natural Language Processing (NLP) that automates the translation of BACS metadata. In previous works, we developed a schema based on 40 other schemas for the designation of data points (BUDO Schema) that we use for the translation. The user labels data points suggested by our algorithm Aikido and checks the prediction in a browser-based GUI (key interface). In our case study, we use a dataset that comprises five different projects, each using its own schema for structuring the metadata of data points in BACS. After ten training labels, our algorithm achieved an accuracy of 0.87 across all data sets. This increased to 0.95 with 50 training labels. We show that the chosen approach is able to normalize the metadata of different schemas to transfer to a previously defined schema. Thus, the manual effort is decreased significantly.
Knowing the differences in the class effect of pharmacologic agents will improve our individualized medical prescription

Received: June 03, 2017; Accepted: July 10, 2017; Published: July 14, 2017 For more than 3 decades ago there has been an increasing interest and utilization of the phrase “class effect” given to a group of drug agents that somehow share similar pharmacologic and therapeutic effects sharing some pharmacodynamics characteristics. There has been a tendency to express this “class effect” with anti-arrhythmic agents, angiotensin converter enzyme (ACE) inhibitors, beta-blocker agents, anti-dyslipidemic drugs, and the list goes on. Although, there is no accepted definition of the term “class effect” in the literature, it is widely used [1,2]. This tendency to call “class effect” happens with practically every group of drug agents when most of the times the only similarity they share is to be in the same class group.
Estudo e Testes Conceituais de um Sistema Automatizado para Emenda de Correias Transportadoras

: Belt conveyors play a key role in the bulk materials transportation, oﬀering advantages such as low operating cost and safety application in a wide range of applications, including mining processes. Due to the extensive use, the belts require routine maintenance activities, which can be time consuming and present operational risks. Therefore, this paper proposes the study of a robotized solution to increase the automation degree of the steel cord conveyor belt splicing process. Concept tests are performed to validate some stages of the proposed solution, employing an ABB IRB120 manipulator arm with instrumentation and marking tools to model the belt and make reference indications. The belt dimensions are obtained through optical triangulation, using a green linear laser and a webcam coupled to the robot. The steel cables positionf inside the belt are determined using an inductive sensor. The entire system was implemented using the Robot Operating System (ROS), and the arm command using tools from ROS Industrial, MoveIt! , and the Descartes Path Planning library.
Application of Aegilops tauschii–Triticum aestivum recombinant inbred lines for grain protein content quantitative trait loci detection and wheat improvement

Abstract: Grain protein content (GPC) is an important nutritional quality trait of wheat. Aegilops tauschii Coss. is a progenitor of common wheat and has been shown to have high GPC. The objective of this study was to identify quantitative trait loci (QTL) for GPC using A. tauschii–Triticum aestivum L. recombinant lines. An advanced BC2F6 population (112 lines) containing A. tauschii segments was developed using synthetic octaploid wheat (hexaploid wheat Zhoumai 18 × A. tauschii T093), which displayed significant phenotype variances. Two quality traits, GPC and wet gluten, and four yield-related traits, thousand kernel weight, spikelet number per plant, grain number per spike, and grain weight per spike, were evaluated. The results show that the mean GPCs of these lines were significantly higher than those of Zhoumai 18. Correlation and mapping analyses indicated that quality traits were weakly negatively correlated with yield traits. Furthermore, 16 A. tauschii-derived QTL for GPC were detected in the recombinant inbred lines, and four stable QTL that have no significant negative effects on yield and are located within the same marker interval were detected in both environments. Additionally, high-protein, high-yield lines 150228 and 150368 with stable QTL were obtained, and both can be directly utilised for fine mapping of the GPC genes and molecular marker–assisted selection to achieve synergistic improvement of wheat yield and protein content.
Development and Path Planning of a Low Cost Hexapod Mobile Robot

: Computer Science and Robotics are becoming strong and consistent methods in teaching Science, Technology, Engineering, Arts and Mathematics (STEAM) in schools all over the world. In this sense, robots have been developed for schools and teaching, in several ways of conﬁgurations. There are many ways of locomotion for mobile robots, mainly based in wheels and mechanical legs. Unfortunately, there are few legged robots available in the market, and to the best of our knowledge there isn’t a commercial model made in Brazil, which makes it more expensive to import. This paper proposes the development of a low cost fully functional hexapod, for educational purposes, describing its hardware and software, and also, showing control tests. The developed hexapod was conceived with 3D-printed legs and low-cost servomotors, that can be easily acquired and assembled. A transparent and eﬀective API to control its movements, LEDs and other functionalities was developed to provide a quick learning curve for the user. The Hexapod’s Kinematics chain and its motion strategy are discussed in depth, with a pseudo-Inverse Jacobian method to execute the legs Inverse Kinematic, allied with quintic polynomial function servo planner, successfully leading to a smooth movement to each hexapod’s leg. The goal is to produce a low-cost, 3D printable robot for school education.