Miracle-dz/UniFAR-FTUs huggingface dataset:
Study On DPPH* Free Radical - Scavenging Activity Of Antioxidant Compounds In Plants Composing BIN-5 Biological Active Preparation

Recently, there has been common trend among people to refuse from food and medications produced via synthetic method, but try to consume natural products as much as possible instead. In this regard, wild berries and medicinal plants are considered to be highly essential for human health as these kinds of plants serve as rich sources of biological active substances-phenol compounds. As a result of conducting research on source and spread of herbs which are commonly used as anti-diabetic medication, we have developed a technological method to extract preparations from medicinal herbs such as Peony (Paeonia lactiflora Pall), Dandelion (Taraxacum officinalis Wigg.), Huckleberry (Vaccinium myrtillus L), Blueberry (Vaccinium uliginosum L), Cranberry (Vaccinium vitisidaea L), and Stinging nettles (Urtica dioica), accordingly studied chemical composition and antioxidant activity, and conducted pharmacological study. With the use of Folin Denis & Folin Ciocalteu reagent method,it was determined that the content of polyphenol compounds was 4.14-5.17% and 27.5 – 101.5mg/ml. The study was also aimed to investigate DPPH * free radical-scavenging activity in connection with term, temperature and concentration to identify the most rational technological procedure. As a result of study, it was identified that free radical-scavenging activity of herbs selected for the study was generally estimated at 564.25-1750.00 mcg/ml, whereas antioxidant activity of solvents with 2-10 mg/ml concentration was 417.20-1750.00 mcg /ml, respectively. This shows that such activity is dependent on concentration. However, in temperature of 30 – 100 0 С degrees, their activity has slowly been decreased by 1750 mcg/ml – 476.7mcg/ml depending on temperature. Regarding the stinging nettles, the activity was grown directly dependent from temperature. DPHH* free radical-scavenging activity was gradually increased in 1-10 minutes, but was relatively stable and active in 11-16 minutes.
Organizational Antecedents To Bootlegging And Consequences For The Newness Of The Innovation Portfolio

Literature on strategy, innovation, and portfolio management has recently shown increased interest in the concept of planned emergence. This builds on an understanding that organizations' innovation is triggered both by deliberate top-down management approaches as well as emergent bottom-up processes. However, little is known on how to effectively plan emergence. In this context, bootlegging has been mentioned as a potential approach, describing instances in which employees choose to innovate without the knowledge and permission of top managers. Whereas past research has focused on the individual employee, we shift the perspective to the overall tendency of bootlegging in organizations. We investigate which organizational conditions facilitate the propensity of bootlegging becoming a widespread practice in an organization, and how this tendency is associated with the organization's innovativeness. Drawing on the theory of creative deviance, we argue that organizations deploying management practices fostering emergent and induced innovation initiatives increase structural strain and thereby bootlegging tendency in such organizations. As more innovation initiatives are elaborated outside the formal process, the number and diversity of ideas outside the strategic scope should increase. Higher bootlegging tendency is thereby proposed to be associated with higher portfolio innovativeness. Empirical evidence from the study of 930 respondents in 124 firms supports the notion that management practices supporting emergent innovation initiatives increase bootlegging tendency, which in turn increases newness of the organization's innovation portfolio.
REVIEW AND ANALYSIS OF FUSION MODEL FOR THE CLASSIFICATION OF LUNG CANCER DISEASE USING GENETIC ALGORITHM

Automatic categeorization of lung diseases in computed tomography (CT) images is an important diagnostic tool for computer-aided system of diagnosis . In this study, we define a new image based feature extraction technique for classification of lung CT images. A novel hybrid based method was obtained by combining the Gabor filter and Walsh Hadamard transform features using median absolute deviation (MAD) technique. Thus, it includes the advantages of combined models. The proposed system comprises of 3 stages. In the initial stage, the images are given as inputs and features are obtained by applying by novel fusion based feature wrenched method, followed by second stage, in which obtained features are selected by applying genetic algorithm which selects the top ranked features. In the final stage, categeorisers namely decision tree, memory based classification (KNN), Multi layer perceptron Neural Networks (MLP-NN) are employed to perform classification of the lung diseases. A total of 500 datasets for the diseases influenza, tuberculosis, pleural effusion and normal lung were used for training and testing. The classification precision of above 90% is accomplished by multilayer perceptron neural network classifier. The system has been trial outed with a number of real Computed Tomography lung images and has achieved satisfactory results in classifying the lung diseases.
Lumbosacral Transitional Vertebra Contributed to Lumbar Spine Degeneration: An MR Study of Clinical Patients

We aimed to comprehensively characterize degenerative findings associated with various types of lumbosacral transitional vertebra (LSTV) on magnetic resonance images. Three hundred and fifty patients with LSTV (52.3 ± 10.9 years), including 182 Castellvi type I, 107 type II, 43 type III, and 18 type IV, and 179 controls without LSTV (50.6 ± 13.1 years), were studied. Discs, endplates, and posterior vertebral structures were assessed and compared to those of controls for the most caudal three discs on MRIs. There were no differences in degenerative findings between patients with type I LSTV and controls. For types III and IV, the transitional discs had smaller sizes, lower Pfirrmann scores, and lower rates of disc bulging (2.3% and 5.6% vs. 39.1%), osteophytes (2.3% vs. 15.1%), disc herniation (2.3% and 5.6% vs. 31.8%), and Modic changes (2.3% and 5.6% vs. 16.8%) than controls. However, the cranial discs had more severe Pfirrmann scores, disc narrowing and spinal canal narrowing, and greater rates of disc herniation (41.9% and 50.0% vs. 25.7%), endplate defects (27.9% and 33.3% vs. 14.4%) and spondylolisthesis (18.6% vs. 7.3%) than controls. Type II LSTV was associated with degenerative findings in the cranial segments but to a lesser degree, as compared with type III/IV LSTV. Thus, Castellvi type III/IV LSTV predisposed the adjacent spinal components to degeneration and protected the transitional discs. Type II LSTV had significant effects in promoting transitional and adjacent disc degeneration. Type I LSTV was not related to spinal degeneration.
Cerebral Hypoperfusion Intensity Ratio Is Linked to Progressive Early Edema Formation

The hypoperfusion intensity ratio (HIR) is associated with collateral status and reflects the impaired microperfusion of brain tissue in patients with acute ischemic stroke and large vessel occlusion (AIS-LVO). As a deterioration in cerebral blood flow is associated with brain edema, we aimed to investigate whether HIR is correlated with the early edema progression rate (EPR) determined by the ischemic net water uptake (NWU) in a multicenter retrospective analysis of AIS-LVO patients anticipated for thrombectomy treatment. HIR was automatically calculated as the ratio of time-to-maximum (TMax) > 10 s/(TMax) > 6 s. HIRs < 0.4 were regarded as favorable (HIR+) and ≥0.4 as unfavorable (HIR−). Quantitative ischemic lesion NWU was delineated on baseline NCCT images and EPR was calculated as the ratio of NWU/time from symptom onset to imaging. Multivariable regression analysis was used to assess the association of HIR with EPR. This study included 731 patients. HIR+ patients exhibited a reduced median NWU upon admission CT (4% (IQR: 2.1–7.6) versus 8.2% (6–10.4); p < 0.001) and less median EPR (0.016%/h (IQR: 0.007–0.04) versus 0.044%/h (IQR: 0.021–0.089; p < 0.001) compared to HIR− patients. Multivariable regression showed that HIR+ (β: 0.53, SE: 0.02; p = 0.003) and presentation of the National Institutes of Health Stroke Scale (β: 0.2, SE: 0.0006; p = 0.001) were independently associated with EPR. In conclusion, favorable HIR was associated with lower early edema progression and decreased ischemic edema formation on baseline NCCT.
Prognostic Factors for Visual Outcomes in Closed Idiopathic Macular Holes after Vitrectomy: Outcomes at 4 Years in a Monocentric Study

Purpose To identify predictive factors of visual outcomes in the eyes after successful macular hole (MH) surgery. Methods It is a retrospective monocentric study of the eyes that underwent successful vitrectomy for full-thickness MH in an academic, tertiary care center (CHU de Québec–Université Laval, Québec, Canada) between 2014 and 2018. We included a single eye per patient and excluded the eyes with ocular comorbidities. Clinical and anatomical features of patients were collected, including demographics, MH duration, baseline MH size, baseline visual acuity (VA), and final VA. Multiple logistic regressions were performed to determine predictive factors of VA ≥70 ETDRS letters (Snellen equivalent: 20/40) and VA gain ≥15 ETDRS letters at final follow-up. Areas under the receiver operating characteristic curve (AUC) were used to determine the performance of each model and identify the Youden index maximizing performance at a given threshold. Results A total of 460 eyes were included in this study; 274/460 eyes (60%) achieved final VA ≥70 ETDRS letters and 304/460 eyes (66%) had a VA gain ≥15 ETDRS letters at 24 months follow-up. Multiple logistic regression analyses showed that the main predictive factors for final VA ≥70 ETDRS letters (model AUC = 0.716) were baseline VA (OR = 1.064; p < 0.001), MH duration (OR = 0.950; p=0.005), and age (OR = 0.954; p=0.004). Predictors of VA gain ≥15 ETDRS letters at final follow-up (model AUC = 0.615) were baseline VA (OR = 0.878; p < 0.001), MH duration (OR = 0.940; p < 0.001), and MH size (OR = 0.998; p=0.036). Thresholds for the final VA ≥70 ETDRS letters model and the VA gain ≥15 ETDRS letters model were VA ≥55.5 ETDRS letters (Snellen equivalent: 6/30) and MH size of 237 μm, respectively. Conclusion The eyes with shorter MH duration, smaller MH size, and higher preoperative VA achieved better visual outcomes after successful MH surgery.
Evaluating the InfoCanvas Peripheral Awareness System: A Longitudinal, In Situ Study

A longitudinal, in situ study of the InfoCanvas, a prototype peripheral awareness system, was conducted. The InfoCanvas provides awareness of information through “information art,” acting as a kind of electronic painting in which visual elements change appearance to represent changes in the information being monitored. Eight people used the system for a month in their offices. We observed and documented the scenes they designed, how they used the system, and their opinions of the system. Overall, participants felt the system was useful, informative, and fun. With respect to aesthetics, some participants felt that it was appealing but others desired further improvement. Lessons learned from the study may benefit other forms of peripheral displays and ubiquitous computing systems.
PRICE DISPARITIES IN GICs, DOES IT INFLUENCE THE SURFACE CHARACTERIZATION?

Background: Glass ionomer cement (GICs) has become a common restorative material in dental practice. Therefore, there are so many GIC's brands can be found in the market with tremendous price disparities GIC brands can be found in the market with huge price disparity; Price of one brand can be up to tenfold than the others. For the cost-efficiency reason, many clinicians prefer the more economical. Therefore, questions arise from the clinician, does it influence the clinical performance. Method: Six cylindrical specimens (10mm x 2mm) from four GIC brands (Fuji IX, FXUltra, GlassyCem and Sangchi) were made based on the respective factory instructions and stored for 24 hours until the final setting reached. Micro Vickers hardness tester (Shimadzu) and Surface roughness tester were used as surface characterizations measurement. Collected data were analyzed statistically. Results: Kruskal-Wallis and Mann-Whitney analysis showed that Fuji IX and FXUltra significantly (p<0.05) higher surface hardness (68.47 and 63.29 VHN respectively) compared to GlassyCem and Sangchi (38.53 and 36.70 VHN). While for surface roughness measurement, Fuji IX has the highest surface roughness, 7.22 µm (p<0.05). GIC’s clinical performance is affected by composition and powder-liquid ratio. Strontium in Fuji IX could increase surface hardness. The high powder-liquid ratio in Fuji IX and FXUltra improve its clinical performance compared to the other group. Conclusion: The more expensive GIC (Fuji IX and FX ultra) had better surface hardness with a slight difference in surface roughness. Therefore, clinicians should choose GIC based on cost-efficiency without ignoring clinical performance.
Transdisciplinary teams and aging in place design : the interior designer's role

OF THE THESIS TRANSDISCIPLINARY TEAMS AND AGING IN PLACE DESIGN; THE INTERIOR DESIGNER’S ROLE by Liliana Alicia Custy Florida International University, 2009 Miami, Florida Professor Janine King, Major Professor This study examined factors influencing participatory research team effectiveness in aging in place (AIP) design (Stokols, et al„, 2008). Although research on AIP design characterizes AIP as collaborative process, there are few studies on the factors that affect collaboration in participatory research applied to AIP. This study used a qualitative narrative strategy in a multiple case-study analysis conducted from a transdisciplinary research (TR) perspective. The case-study focused on the factors that enhanced and constrained Open n Prototype Initiative (OPI) team effectiveness. TR is a precise type of teamwork of integrative endeavors, focused on the science and society interface, and aimed at knowledge-based contribution to life-world problems (Wiesmann et al., 2008). This study found that TR team (TRT) effectiveness in OPI was contingent on six factors that constrained and eight others that enhanced collaboration (Stokols, et al., 2008). The conclusions provide a foundation for developing guidelines for designing, managing and evaluating successful TR (Stokols, et al., 2008) in AIP. TABLE OF CONTENTS CHAPTER PAGE
Deep learning-based motion artifact removal in functional near-infrared spectroscopy

Abstract. Significance: Functional near-infrared spectroscopy (fNIRS), a well-established neuroimaging technique, enables monitoring cortical activation while subjects are unconstrained. However, motion artifact is a common type of noise that can hamper the interpretation of fNIRS data. Current methods that have been proposed to mitigate motion artifacts in fNIRS data are still dependent on expert-based knowledge and the post hoc tuning of parameters. Aim: Here, we report a deep learning method that aims at motion artifact removal from fNIRS data while being assumption free. To the best of our knowledge, this is the first investigation to report on the use of a denoising autoencoder (DAE) architecture for motion artifact removal. Approach: To facilitate the training of this deep learning architecture, we (i) designed a specific loss function and (ii) generated data to mimic the properties of recorded fNIRS sequences. Results: The DAE model outperformed conventional methods in lowering residual motion artifacts, decreasing mean squared error, and increasing computational efficiency. Conclusion: Overall, this work demonstrates the potential of deep learning models for accurate and fast motion artifact removal in fNIRS data.
First Trimester Placental Volume and Uterine Artery Doppler in Pregestational Diabetic and Non-Diabetic Pregnant Women

Background: Pregestational diabetes is diabetes diagnosed before pregnancy comprises approximately 13 % of all diabetes in pregnancy, while gestational diabetes i.e. diabetes with onset or first recognition in pregnancy comprises the remaining 87%. This work aimed to evaluate the effect of pregestational diabetes mellitus on placental volume and uterine artery Doppler during the late first trimester of pregnancy compared to non-diabetic pregnant women during the same period of gestation. Methods: This prospective study was conducted on 100 pregnant females from 11 weeks to thirteen 13 weeks gestation. Patients were divided into 2 equal groups: group A included pregnant women with pregestational diabetes mellitus and group B: included non-diabetic pregnant women as a control group. All cases were subjected to clinical examination, laboratory investigations (fasting blood sugar, 2Hrs post-prandial blood sugar, HbA1c and creatinine clearance test) and specific investigations (Mindray DC30 ultrasound and Transabdominal examination). Results: HbA1c was a positive significant correlation with PI, RI, creatinine clearance and fasting blood sugar, there was a positive significant correlation between fasting blood sugar and PI and RI, there was a positive significant correlation between RI and PI (P<0.05). Conclusions: Pre-gestational DM does not induce demonstrable alterations in first trimester placental volume, while it induces demonstrable alterations in the first trimester placental development as regards to uterine artery velocimetry Especially PI and RI are significantly increased.
miRNAs in Lymphocytic Leukaemias—The miRror of Drug Resistance

Refractory disease and relapse remain the main causes of cancer therapy failure. Refined risk stratification, treatment regimens and improved early diagnosis and detection of minimal residual disease have increased cure rates in malignancies like childhood acute lymphoblastic leukaemia (ALL) to 90%. Nevertheless, overall survival in the context of drug resistance remains poor. The regulatory role of micro RNAs (miRNAs) in cell differentiation, homeostasis and tumorigenesis has been under extensive investigation in different cancers. There is accumulating data demonstrating the significance of miRNAs for therapy outcomes in lymphoid malignancies and some direct demonstrations of the interplay between these small molecules and drug response. Here, we summarise miRNAs’ impact on chemotherapy resistance in adult and paediatric ALL and chronic lymphocytic leukaemia (CLL). The main focus of this review is on the modulation of particular signaling pathways like PI3K-AKT, transcription factors such as NF-κB, and apoptotic mediators, all of which are bona fide and pivotal elements orchestrating the survival of malignant lymphocytic cells. Finally, we discuss the attractive strategy of using mimics, antimiRs and other molecular approaches pointing at miRNAs as promising therapeutic targets. Such novel strategies to circumvent ALL and CLL resistance networks may potentially improve patients’ responses and survival rates.
PENINGKATAN KETAHANAN PSIKOLOGIS KELUARGA MELALUI PELATIHAN KESADARAN EFIKASI DIRI DALAM PENDAMPINGAN ANAK BELAJAR DARI RUMAH SAAT PANDEMI COVID-19 BAGI ORANGTUA/WALI TK ABA NGANGGRING TURI SLEMAN DI YOGYAKARTA

The article on Community Service Program (PPM) is motivated by psychological problems, related to self-efficacy problems, the lack of skill of parents in assisting children to learn from home.The aim of the Community Service Program (PPM) is to increase the family psychological resilience. The PPM using training method was conducted at TK ABA Nganggring, Turi, Sleman, and can be maximized so that children will feel enjoyment and comfortable at home learning as long as the occurrence of covid-19 pandemic.
Isolation and Identification of Slime Forming Staphylococcus aureus from Raw Cow Milk and their Antibiotic Susceptibility Pattern

Staphylococcus aureus is an emerging pathogen from dairy animals that can form biofilms in the udder of dairy cows affected by mastitis. The use of antibiotics in dairy farms leads to a decrease in bacteria, finally making healthy food. The aim of this study was to determine the occurrence, antibiotic susceptibility, and biofilm forming ability of S. aureus isolated from cow milk. A total of fifteen raw milk samples were collected from Mohammadpur, Narayangonj, Savar, Bosila, Siddheshwari and Norshingdi dairy farms for isolation of S. aureus. All the samples were highly loaded with Staphylococcus and the total staphylococcal count ranged from 105 to 106 cfu ml-1. Biochemical tests (TSI, catalase, oxidase, motility, MR/VP etc.) were performed for the confirmation of the Staphylococcal isolates. The 100% resistance was observed against oxacillin, erythromycin, cotrimoxazole, amoxicillin, cefixime and vancomycin. In contrast to these results, the isolates showed 100% sensitivity to gentamicin and ciprofloxacin. The sensitivity against kanamycin and tetracycline was observed to be variable. The present study reveals the presence of multidrug resistant S. aureus in milk. Therefore, appropriate control measures like proper sanitation of the place where the milking cows live, maintenance of hygiene before and after milking, using proper mechanical methods for milking with strict maintenance of sanitation etc. are needed to be ensured. South Asian J. Agric. , 8(1&2): 13-19
Food processing knowledge among university students

The NOVA classification is not yet widely understood by the entire population and studies evaluating knowledge about the degree of food processing in university students are still scarce. In addition, it is unclear whether there is a difference in knowledge about the degree of food processing between academic areas in universities. Knowing that less knowledge can be a risk factor for risky eating habits, this study aims to assess the knowledge about food processing grade among university students. A cross-sectional study with 977 students. The questionnaire assessed knowledge about the degree of food processing (in natura, minimally processed, processed and ultra-processed). A linear regression analysis was used to demonstrate an association between overall knowledge about the degree of food processing and sociodemographic variables, academic areas and initial knowledge about the Brazilian food guide. The overall knowledge mean about the degree of food processing was 2.57 (1.37). The linear regression showed an association between age (p<0.001), having initial knowledge about the guide (p=0.01), being from the area of “Agrarian Sciences” (p<0.001) and “Biological and Health Sciences” (p<0.001) presenting the highest scores in overall knowledge. There was low overall knowledge about the degree of food processing among university students. Federal actions are needed to address this issue.