Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of Al-doped ZnO nanorods grown by chemical bath deposition method

Introduction: In recent years a metal oxide semiconductors have been paid attention due to their excellent chemical and physical properties.ZnO (Zinc oxide) is considered as one of the most attractive semiconductor materials for implementation in photo-detectors, gas sensors, photonic crystals, light emitting diodes, photodiodes, and solar cells, due to its novel electrical and optoelectronic properties. There are different uses of metal oxide semiconductors such us, UV photodetectors which are useful in space research’s, missile warning systems, high flame detectors, air quality spotting, gas sensors, and precisely calculated radiation for the treatment of UV-irradiated skin. ZnO is a metal oxide semiconductors and it is used as a transparent conducting oxide thin film because it has the best higher thermal stability, best resistance against the damage of hydrogen plasma processing and relatively cheaper if one compares it with ITO. Materials and Methods: On glass substrates, Al-doped ZnO (AZO) nanorods have been grown by a low -cost chemical bath deposition (CBD) method at low temperature. The seed layer of ZnO was coated on glass substrates. The effect of the Al-doping on the aligned, surface morphology, density, distribution, orientation and structure of ZnO nanorods are investigated. The Al-doping ratios are 0%, 0.2%, 0.8% and 2%. The Aluminum Nitrate Nonahydrate (Al (NO3)3.9H2O) was added to the growth solution, which is used as a source of the aluminum dopant element. The morphology and structure of the Al-doped ZnO nanorods are characterized by field emission scanning electron microscopy (FESEM) and high-resolution X-ray diffractometer (XRD). using the radio RF (Radio frequency) magnetron technique. Results and Discussion: The results show that the Al-doping have remarkable effects on the topography parameters such as diameter, distribution, alignment, density and nanostructure shape of the ZnO nanorods. These topography parameters have proportionally effective with increases of the Al-doping ratio. Also, X-ray diffraction results show that the Al-doping ratio has a good playing role on the nanostructure orientation of the ZnO nanorods. Conclusions: The Aluminum Nitride Nanohydrate considered as a good Aluminu source for doping ZnONR. It is clear from FESEM results that the Al-doping of ZnONR has a remarkable effect on the surface topography of nanorods for all aluminum doping ratios. From XRD patterns, it concludes that as the Al-doping ratio increases, the reorientation of the nanostructure of ZnO increases towards [100] direction. The results obtained also have shown that the average diameter of a nanorod is increased with increasing the ratio of Al-doping.
Dexmedetomidine's Pain Relief Safety and Effectiveness in Brachial Plexus Block in Supraclavicular Area: A Prospective Study

Background: The objective of this research was to see how Dexmedetomidine affected the onset and duration of brachial plexus block and postoperative analgesia in individuals having upper limb procedures. Methods: This quasi-experimental study was conducted in the Department of Anaesthesia, Rajshahi Medical College Hospital, and Tertiary Hospital in Rajshahi, Bangladesh. From June 2018 to December 2020. There were two groups of (n=60) adult patients randomly assigned to upper-limb and hand procedures each. When it came to the control group, they were given the same amount of Dexmedetomidine (dexmed) as the dexmedetomidine (dexmed) group. Still, they were also given the same amount of 0.75% bupivacaine and 2% lidocaine (with adrenaline) as the dexmedetomidine (dexmed) 1 μg/kg. Ultrasound-guided supraclavicular brachial plexus block administered a total of 0.5 mL/kg in both groups. In addition to hemodynamic stability, patients were monitored for postoperative pain, analgesia duration, and side effects. Results: The dexmed group had a faster onset of motor blockade and a longer duration of sensory and motor blockade (P < 0.0001). For the dexmed group, the postoperative analgesic period was also prolonged compared to that of controls 12 [10.5–13.5] hours and 17 [10.5–19.5] hours in the control and dexmed group, respectively [95% confidence interval, −5 {−5, −4}, P < 0.0001]). Within the first 24 hours following surgery, the dexmed group used rescue analgesics less frequently. (P < 0.0001). Except for 8 and 10 hours after surgery, postoperative pain scores were equivalent between groups when pain levels were lower in the dexmed group. More sedated individuals in the dexmedetomidine group remained sedated for 2 hours longer. (P < 0.0001). We did not have any occurrences of bradycardia, hypotension, respiratory depression, or disorientation. Conclusions: According to our findings, adding Dexmedetomidine to Bupivacaine-lidocaine increased the duration of the supraclavicular brachial plexus block and reduced postoperative analgesia in patients with upper limb surgery. Keyword: Supraclavicular Block, Dexmedetomidine, Brachial Plexus Block, Rajshahi Medical College. Copyright © 2021 The Author(s): This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY-NC 4.0) which permits unrestricted use, distribution, and reproduction in any medium for non-commercial use provided the original author and source are credited.
Evaluating Effect of Social Support Programs Based on the Roy's Adaptation Model on Patients with Breast Cancer: A Systematic Review

Background: Many women become hopeless and are unable to adapt to disease after diagnosis of breast cancer. Social support plays a major role in adaption of patients to cancer. The present systematic review aimed to determine effects of social support programs based on the Roy's adaptation model on patients with breast cancer. Methods: In the present systematic review, articles published in English that have been indexed in PubMed, Scopus and Web of Science databases until the end of September 2019 were included. Searches were made using the following keywords: "Social Support", "Roy Model", "Breast Cancer" and their synonyms. The publications were selected through screening, selection, quality evaluation and data extraction. Interventional and qualitative studies were included in the study, which used the Roy’s adaptation model for social support in women with breast cancer or used the model for evaluation the consequences of implementing support programs. Overall, 98 articles published were reviewed. After exclusion of unrelated articles, five articles were included in the analysis. Results: Of five high-quality articles, three were qualitative and two were interventional. The findings indicated that the implementation of support programs based on the Roy's adaptation model had beneficial effects on patients' adaptive responses, attitudes towards breast cancer, spiritual health, mood and loneliness. Conclusion: Implementing support programs can positively affect the adaptation of patients with breast cancer. Therefore, social support based on the Roy's adaptation model can be utilized as a non-invasive, non-pharmacological, cost-effective and comprehensive nursing intervention to provide support for patients with breast cancer.
Computational Division of Labor with Human and AI Workers

Computational division of labor addresses the design and analysis of algorithms for division of labor problems and will be one of the key issues in Future of Work. The problems deal with interactions among multiple worker and task classes in task decomposition, worker recruitment and education, and task assignments to AI and humans, for efﬁciently completing given tasks. We survey some of the related literature and discuss challenges and open problems
Development and validation of an interpretable 3 day intensive care unit readmission prediction model using explainable boosting machines

Background Intensive care unit (ICU) readmissions are associated with mortality and poor outcomes. To improve discharge decisions, machine learning (ML) could help to identify patients at risk of ICU readmission. However, as many models are black boxes, dangerous properties may remain unnoticed. Widely used post hoc explanation methods also have inherent limitations. Few studies are evaluating inherently interpretable ML models for health care and involve clinicians in inspecting the trained model. Methods An inherently interpretable model for the prediction of 3 day ICU readmission was developed. We used explainable boosting machines that learn modular risk functions and which have already been shown to be suitable for the health care domain. We created a retrospective cohort of 15,589 ICU stays and 169 variables collected between 2006 and 2019 from the University Hospital Münster. A team of physicians inspected the model, checked the plausibility of each risk function, and removed problematic ones. We collected qualitative feedback during this process and analyzed the reasons for removing risk functions. The performance of the final explainable boosting machine was compared with a validated clinical score and three commonly used ML models. External validation was performed on the widely used Medical Information Mart for Intensive Care version IV database. Results The developed explainable boosting machine used 67 features and showed an area under the precision-recall curve of 0.119 ± 0.020 and an area under the receiver operating characteristic curve of 0.680 ± 0.025. It performed on par with state-of-the-art gradient boosting machines (0.123 ± 0.016, 0.665 ± 0.036) and outperformed the Simplified Acute Physiology Score II (0.084 ± 0.025, 0.607 ± 0.019), logistic regression (0.092 ± 0.026, 0.587 ± 0.016), and recurrent neural networks (0.095 ± 0.008, 0.594 ± 0.027). External validation confirmed that explainable boosting machines (0.221 ± 0.023, 0.760 ± 0.010) performed similarly to gradient boosting machines (0.232 ± 0.029, 0.772 ± 0.018). Evaluation of the model inspection showed that explainable boosting machines can be useful to detect and remove problematic risk functions. Conclusions We developed an inherently interpretable ML model for 3 day ICU readmission prediction that reached the state-of-the-art performance of black box models. Our results suggest that for low- to medium-dimensional datasets that are common in health care, it is feasible to develop ML models that allow a high level of human control without sacrificing performance.
MULTIPHASE ENERGETIC E XPERIMENT S Application of Multiple Object Tracking

Th e process of using computer vision for multiple-objects tracking is incredibly complex. Th us, simulated data was created to mimic the complexities of more realistic data. Th ese test cases would isolate a few of the inaccuracies of real data and allow the researchers to determine what factor of said data is the most detrimental to the object-tracking process. Due to the large quantity of factors at play, Cotter’s method was used to analyze the signifi cance of each factor. Th e number of detections and the number of centroids were the main dependent results that were utilized to analyze the data. Th e overall results show that the most signifi cant detriment of successful object tracking is a lack of data in quantity. Additionally, the results show that if particles move too fast for proper imaging, the resultant data is inaccurate. In the future other methods of particle detection should be explored, as currently Kalman fi ltering is not a viable option for multiphase energetic experiments.
Motion Planning for Nonholonomic Vehicles: An Introduction

The last few years have seen a burst of activity in motion planning for vehicles with rolling constraints such as cars and trucks with trailers. Our understanding of such nonholonomic constraints has increased signiﬁcantly and it is now possible to quickly plan complex parking and trailer-backing manoeuvres for these practically important systems. However the techniques used are highly mathematical and have not been easily accessible to a broad robotics-oriented audience. This paper presents an intuitive, geometrical introduction to the main mathematical deﬁnitions and theorems and summarizes some of the key practical approaches to nonholonomic vehicle planning
MOKYKLOS BENDRUOMENĖ IR KLASĖS KULTŪRA SCHOLL COMMUNITY AND CLASS CULTURE Complexity, Contradiction, and Carnival: Microethnographic Research on Student Disruption in a High School English Language Arts Classroom

When teaching, many educators must respond to unruly and disruptive students. While most scholarship on student disruption focuses on classroom management strategies and tactics, few studies consider the nature of the disruption, its ideological significance and the social consequences that follows. Via ethnographic methods and microethnographic discourse analysis, this paper examines the complexity and contradictions of macroand microstructures as they manifest during a student’s disruption of a classroom discussion of a novel in an 11th and 12th grade English Language Arts class in the United States. Using Bakhtin’s notion of carnival as a theoretical framework, this paper examines the pattern of disruption in the classroom that evoked multiple and contradictory ideologies and both maintained and subverted power structures in the context. Contrary to the belief that classroom disruptions are always challenges to power, they sometimes reinforced power relations on a broader cultural level. This paper urges that research and scholarship embrace complexity and contradiction as inherent in the interactions of people in schools and seeks to rethink how educators view and respond to classroom disruption. It concludes by advocating that embracing complexity and contradiction will better allow teachers and researchers to think through systems of education as a way to effectively and ethically intervene when these structures prove problematic.
Corporate Governance and Financial Management Practices of Small and Medium Enterprises in the Cities Batangas Province

The value of small and medium enterprises (SMEs) in global economic development is indispensable. Therefore, SMEs must be properly managed thru good governance. The descriptive method of research, as adopted to explore the corporate governance and financial management practices of SMEs in Batangas province. Top and middle management of 104 SMEs participated in the survey using a researcher-made questionnaire. Documentary analysis and interview with accountants, consultants and directors were also conducted to gather information. Multiple regression was used to determine the influence of corporate governance on financial management. Results showed that most of the SMEs are service business, newly operating with few employees, close corporations and has five board of directors majority of which are male. It revealed that SMEs practice corporate governance to a moderate extent while financial management is moderately practiced and that corporate governance practices has significant influence on financial management. Furthermore, some of the issues and challenges in corporate governance are awareness on the need for it, having corporate governance standard applicable to SMEs, and cost of implementing. Finally, the proposed corporate governance mechanism intends to assist SMEs in practicing good governance to enhance their financial management.
Assessment of Frequency of Neuropathic Pain in Knee Osteoarthritis and its Relation to Functional State, Quality of Life and Depression

ABS TRACT Objective: Neuropathic mechanisms are considered to play a role in development of pain in knee osteoarthritis (OA) as well as nocicieptive mechanisms. The present study aimed to determine neuropathic pain in patients with knee OA and investigate its relation to functional state,,quality of life and depression. Material and Methods: The present cross-sectional study enrolled 150 patients with primary knee OA. Demographic data of the patients were recorded. Anteroposterior knee radiographs were assessed using the Kellgren Lawrence staging system. Pain severity was evaluated with Visual Analogue Scale (VAS), the Douleur Neuropathique en 4 Questions (DN4) questionnaire was used to detect the neuropathic pain component, the Lequesne index was used to assess the functional status, the Beck Depression Inventory (BDI) was used to assess depressive symptoms and the Short Form-36 (SF-36) questionnaire was applied to assess the quality of life. Results: Of 150 patients,133 (88.7%) were female and 17 (11.3%) were male patients. The mean age was 61.5±9.7 years. The DN4 scale revealed that 40% of the patients had neuropathic pain. In the group with neuropathic pain, VAS resting, VAS movement and Lequesne scores were significantly higher than those of without neuropathic pain (p=0.004, p=0.005, p=0.0001, respectively). There were no significant differences in SF-36 and BDI scores between the two groups (p>0.05). There was no correlations between DN4, SF-36 and BDI scores; however, these scores showed a significant positive correlation with the Lequesne index (r=0.562, p=0.0001). Conclusion: Chronic pain in patients with OA has degenerative and neuropathic components. As neuropathic pain is a factor that increases pain and disability and disrupts functional status in osteoarthritis, it should be questioned and neuropathic pain treatment should take place as part of the treatment of osteoarthritis.
THE MALARIA PROGRAM IN A DECENTRALIZED GOVERNANCE PERSPECTIVE: EVALUATION OF THE MINISTRY OF HEALTH DECREE NO. 293/MENKES/SK/IV/2009 ON MALARIA ERADICATION IN CENTRAL MALUKU DISTRICT, MALUKU PROVINCE

Malaria is an infectious disease that is still a serious health problem, both in developing and developed countries. Malaria is considered dangerous because it can cause death, especially in high-risk groups, for example in infants, toddlers, and pregnant women. The result of the World Malaria Report reports malaria attacks 106 countries and islands in the world. The Minister of Health of the Republic of Indonesia issued a Decree of the Minister of Health of the Republic of Indonesia Number 293/MENKES/IV/2009 concerning the Elimination of Malaria. The current national malaria control program is implemented with a focus on achieving malaria elimination throughout Indonesia as an effort to create healthy living communities. Therefore, the researcher took a study related to the evaluation of the malaria elimination program in the perspective of decentralized governance to find out how to analyze and find out the results of the evaluation of the malaria elimination program related to the stages of malaria elimination (eradication, preelimination, elimination, and maintenance) based on the Decree of the Minister of Health of the Republic of Indonesia Number 293/ MENKES/IV/2009 In Central Maluku District, Maluku Province in 2018 in the Perspective of Decentralized Governance, the informants in this study used purposive sampling and snowball sampling. This research was conducted in the district of Central Maluku. The data used in this study are primary and secondary data, for primary data collection using the observation method that goes directly and participates in the activities carried out by the subject under study, while for secondary data obtained from books and official publications, especially those related to the Evaluation Study of the Ministry of Health No.293/Menkes/SK/IV/2009) on the Elimination of Malaria in Central Maluku District, Maluku Province.
On the low- and high-velocity impact behaviour of hybrid composite materials at room and extreme temperature

A demand raised is how to improve the survivability of aircraft and naval structures concerning low- and high-velocity impacts. Since fundamental failure is due to mainly by fracture, a fundamental understanding of both mechanisms and mechanics of the material is crucial. It is important to understand the deformation and damage mechanisms involved in the impact to improve the design of composite structures. Several approaches have been exploited to improve the impact damage resistance of composite laminates in different conditions. Among these, the development of composite laminates stacking different fibres in the same matrix results very interestingly. This paper deals to investigate on the high and low speed impact performance of hybrid composite configurations made of glass/carbon and basalt fibres. Low-velocity impact at penetration and high speed tests at different impact velocity were carried out at the room and low temperatures to evaluate the goodness of hybridization proposed and the temperature effect on the composite performances. Among the three proposals, a hybrid basalt carbon configuration was identified as the best both at low speeds and at high impact speeds for both temperatures tested.
Clinical Value for Diagnosis and Prognosis of Signal Sequence Receptor 1 (SSR1) and Its Potential Mechanism in Hepatocellular Carcinoma: A Comprehensive Study Based on High-Throughput Data Analysis

Objective Hepatocellular Carcinoma (HCC) has the characteristics of high incidence and poor prognosis. However, the underlying mechanism of HCC has not yet been fully elucidated. This study aims to investigate the potential mechanism and clinical significance of signal sequence receptor (SSR1) in HCC through bioinformatics methods. Methods Four online (GEPIA, TIMER, TCGA, and GEO) databases were used to explore the expression level of SSR1 in HCC. The summary receiver operating characteristic (SROC) analysis and standardized mean difference (SMD) calculation were performed further to detect its diagnostic ability and expression level. The Human Protein Atlas (HPA) database was applied to verify the level of SSR1 protein expression. Chi-square test and Fisher’s exact test were carried out to determine the clinical relevance of SSR1 expression. KM survival analysis, univariate and multivariate COX regression analyses were employed to explore the prognostic impact of SSR1. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene set enrichment analysis (GSEA) were implemented to reveal the underlying mechanism of SSR1. Quantitative Real-Time Polymerase Chain Reaction (QRT-PCR) was used to verify the expression of SSR1 in HCC. Results SSR1 was significantly overexpressed in HCC (SMD=1.25, P=0.03) and had the moderate diagnostic ability (AUC=0.84). SSR1 expression was significantly correlated with T stage, Gender, Pathologic stage (All P<0.05). Patients with high SSR1 expression had shorter overall survival (OS). Univariate and multivariate Cox regression analyses showed that high SSR1 expression was an independent risk factor for poor prognosis. KEGG analysis showed that SSR1-related genes were enriched in the cell cycle, DNA replication, and TGF-beta signaling pathway. GSEA analysis also shows that the high expression of SSR1 is related to the activation of the above three signal pathways. qRT-PCR showed that the SSR1 expression in HCC was significantly higher than the Peri-carcinoma tissue (PHCC) and the corresponding normal liver tissue. Conclusion SSR1 expression was significantly up-regulated, and it had the potential as a biomarker for the diagnosis and prognosis of HCC. It was very likely to participate in the occurrence and development of HCC by regulating the cell cycle. In summary, our study comprehensively analyzed the clinical value of SSR1 and also conducted a preliminary study on its potential mechanism, which will provide inspiration for the in-depth study of SSR1 in HCC.