Miracle-dz/UniFAR-FTUs huggingface dataset:
Individual prostate cancer screening: Practice survey with general practitioner of Lubumbashi, Democratic Republic of Congo

Objective: To analyze the practices of general practitioners (GPs) in terms of recommendations on individual screening for prostate cancer (PCa). Methods: An anonymous cross-sectional survey using a pre-established questionnaire was conducted among 193 GPs in the city of Lubumbashi from May 1st to July 31st, 2020. The questionnaire included three parts: identity criteria of GPs, screening practice and the opinion of GPs on the recommendations. Results: The participation rate was 79%. Eighty-two-point nine percent of respondents said they offered screening for PCa; 42.5% of them said they offered this screening to all men within a certain age limit, ranging between 50 to 75 years in 38.8% of the cases. Only 12.5% of GPs provided complete prior information to their patients. Thirty-six-point three percent of GPs reported combining digital rectal examination with total PSA testing, but in the presence of an abnormality, 60.6% reported that they referred their patients directly to the urologist without ordering other additional investigations (first or second line). Finally, 32.7% of GPs found that the recommendations disseminated were appropriate for their practice. Conclusion: Individual screening for PCa is widely proposed; but there are differences between the practices reported by GPs and official recommendations of learned societies. Our study highlights the need to popularize the recommendations of learned societies to GPs.
Influence of methane gas on growth of multi-walled carbon nanotubes by Arc discharge process

The influence of methane (CH4) gas as feedstock and ambient pressures on growth of multi-walled carbon nanotube (MWCNT) and carbon nano structures is studied by arc discharge process. The discharge is produced between graphite rods at different 100, 300 and 500 torr ambient pressures. Plasma kinematics such as density and temperature is determined by optical emission spectroscopy to investigate the contribution of ambient environment and pressure towards the growth of MWCNT and nano structures. The samples of synthesized MWCNT are analyzed transmission electron microscope, scanning electron microscope, Raman spectroscope and X-ray diffraction analysis. An increase in the growth of the carbon nanotubes with increase in the ambient pressure of the CH4 gas is observed. The CH4 molecules serve as feed stock and enhance the growth of carbon nanotubes. An increase in the growth of other carbon nanostructures such as graphene are also observed with increase in pressure.
Floor Identification in Large-Scale Environments With Wi-Fi Autonomous Block Models

Traditional Wi-Fi-based floor identification methods mainly have been tested in small experimental scenarios, and generally, their accuracies drop significantly when applied in real large and multistorey environments. The main challenge emerges when the complexity of Wi-Fi signals on the same floor exceeds the complexity between the floors along the vertical direction, leading to a reduced floor distinguishability. A second challenge regards the complexity of Wi-Fi features in environments with atrium, hollow areas, mezzanines, intermediate floors, and crowded signal channels. In this article, we propose an adaptive Wi-Fi-based floor identification algorithm to achieve accurate floor identification also in these environments. Our algorithm, based on the Wi-Fi received signal strength indicator and spatial similarity, first identifies autonomous blocks parcelling the whole environment. Then, local floor identification is performed through the proposed Wi-Fi models to fully harness the Wi-Fi features. Finally, floors are estimated through the joint optimization of the autonomous blocks and the local floor models. We have conducted extensive experiments in three real large and multistorey buildings greater than 140 000 m$^2$ using 19 different devices. Finally, we show a comparison between our proposal and other state-of-the-art algorithms. Experimental results confirm that our proposal performs better than other methods, and it exhibits an average accuracy of 97.24%.
The Development of Multiple Intelligence-Oriented Thematic Multimedia in Elementary Schools

The developmental study conducted aims to develop learning multimedia on the empowerment of multiple intelligences in elementary schools. The aim is achieved by gradually developing learning multimedia by implementing a product development model. The development of the learning multimedia is implementing Luther development model that consists of creating concept, designing, collecting materials, creating product, testing, and distributing. After all stages are done, evaluation is conducted. The type of evaluation conducted is formative evaluation which aims to determine the things that need to be improved or revised to produce more systematic, effective and efficient multimedia. The formative evaluation on the multimedia adopts the formative evaluation stages according to Dick, Carey and Carey (2005) which covers three stages, namely individual trial, small group trial, and field trial. The trials are proceeded by expert validation or review. It is done by two experts; one in media and one in learning design. The trials involve 3 students for the individual trial, and 12 students for the small group trial. During the product development, the data on multimedia validity are collected using questionnaire. As the product of the development, a multimedia has been developed following Luther‘s model. According to the experts, the learning design and media aspects get very good category. Both aspects also get very good category in the individual and small group trials.
Use of information technology for mapping of DTPA-extractable micronutrients in soils of Amritsar District, Punjab

Mapping of DTPA-extractable micro nutrients were carried out by randomly collecting georeferenced surface (0–0.15 m) soil samples representing different soils (as per soil map prepared on 1:50,000 scale) from 645 sites in Amritsar district (Northwest Punjab, India) using Global Positioning System (GPS) at flag leaf stage of wheat (Triticum aestivum L). The plant (flag leaves) samples were also collected simultaneously from every 4th plant sampling site. These soil and plant samples were-analyzed for micro nutrients (Fe, Mn, Zn and Cu). The DTPA-Zn in soils varied from 0.18 to 3.91 mg kg−1, DTPA-Cu from 0.16 to 3.96 mg kg−1, DTPA-Fe from 1.83 to 30.6 mg kg−1 and DTPA-Mn from 0.96 to 12.9 mg kg−1. The contents of Zn in plants varied from 7.50 to 35.5 mg kg−1, Cu from 3.50 to 11.5 mg kg−1, Fe from 78.3 to 553.7 mg kg−1 and Mn from 15.2 to 52.8 mg kg−1. None of the samples were found to be deficient in Fe. The relationship between micronutrient contents in soil and plant was significant. There is a need to refine the critical level of deficiency for DTPA Fe with reference to growing environment, certain soil characteristics and pre-defined plant parts of specific crops. Soil micronutrient maps prepared in Arc Info GIS clearly delineated the specific locales where micronutrient problem constrained crop production. Multimicronutrient map suggested that deficiency of individual element is more prevalent as compared to that of two, three or four micronutrients. DTPA extractable micronutrients showed positive correlation with organic carbon and clay. The positive influence of organic carbon on micronutrient availability was maximum for DTPA-Cu. Comparison of DTPA extractable micronutrients for the year 1976 and 2003 indicated the deficiency of micronutrients increased over the years. These results indicated that Zn is likely to constraint crop production, followed by Mn in the soils of Amritsar district.
Association study of MTHFR-c677t with male infertility and reporting new potential SNPS/ sequence variants as a sourse of population genetic markers

It is estimated that about 15% of couples concern with the inability to conceive after 1 year of unprotected intercourse. Genetic and environmental factors play important roles in male infertility. MTHFR (Methylene Tetrahydro Folate Reductase) is encoded by a gene which maps to human chromosome 1p36.22. The c.677C>T mutation causes an amino - acid change of Alanine to Valine (Ala222Val) in exon 4 which is related to oligospermia and azoospermia. Our purpose was to investigate the association of rs1801133 in MTHFR gene with azoospermia and also genetic diversity of some Iranian folks. Peripheral blood samples of 100 men suffered from azoospermia and 55 controls collected from Infertility Clinic of Jihad-university of Qom. DNA was extracted by salting-out method and SNP-Genotyping was performed by PCR-RFLP technique and sequencing. Furthermore, statistical and population genetics analysis were done. The rs1801133 showed no significant relation with azoospermia according to statistical analysis. Furthermore, population genetics analysis showed that there is no genetic differentiation between Turk and Fars ethnics and case and control individuals. MTHFR studied SNP has no significant relation with azoospermia infertility, although further studies on more samples are demanded.
The influence of the family environment and parental education level through parental attachment to children's cognitive development

The importance of family support, parental education, and parental attachment are expected to contribute to the development of children's cognitive aspects. The research objective is to determine the effect of family environment and parental education level through parental attachment to children's cognitive development. This research uses quantitative with the explanatory method, namely cause, and effect. This research population is 415, with a sample of 204 people selected by the proportional sampling technique. The research used a questionnaire to collect the data. Data analysis used regression analysis and path analysis. The results show an effect of the family environment on children's cognitive development of 0.248. The level of education of parents is 4,587. Parent attachment is 0.333. There is an effect of the family environment on the attachment of people of 0.459. The level of parental education on parental attachment is 7,682. There is an indirect effect of the family environment through the parental attachment of 0.031. There is an indirect effect of parental education level through parental attachment to the cognitive development of 0.641. It is suggested that parents understand well how to educate their children so that they can provide independence to children and understand themselves in the future.
RESPONSE OF SALT-STRESSED VICIA FAVA PLANT TO APPLICATION OF ASCORBIC ACID ON THE GROWTH AND SOME METABOLITES

The present work aimed at investigating changes in growth and some metabolic activities in NaClstressed bean plants, and assessing the role of ascorbic acid to alleviate these changes. The field experiment was carried out to study the response of presoaked fava bean seeds (Vicia fava cv. Misr 2) in freshly prepared ascorbic acid (50 ppm ≈ 0.3 mM; as recommended dose as described by El-Tayeb, 1995) or distilled water (control) for 4 hrs at natural environmental conditions, to salinity stress during different growth periods. At vegetative stage, the fresh and dry weights were decreased with salt treatment. The shoot length was hardly, if at all, affected by salinity stress either in the plants treated with ascorbic acid or not. The pigment biosynthesis was substantially affected by salt treatment. Addition of ascorbic acid to stressed plants reduced the inhibitory effect of NaCl on pigment content. Salinity enhanced the accumulation of reducing sugars in both root and shoot of Vicia fava, particularly at the high level of NaCl during the vegetative stage of growth. Whereas, the salt stress caused a decrease in the sugars content of both plant organs during the flowering and fruiting stages. NaCl treatment caused a reduction in sucrose content of Vicia fava root at the high level of NaCl during vegetative stage. In addition, the polysaccharide content of roots and shoots gradually increased with the progress of age, except at fruiting stage. These findings suggest that ascorbic acid achieved better results during growth stages.
POSTOPERATIVE ANALGESIA IN KIDNEY TRANSPLANT LAPAROTOMY: QUADRATUS LUMBORUM BLOCK AS AN ALTERNATIVE

Objective: Effective postoperative pain management promotes better recovery. Continuous epidural (CE) is the standard postoperative analgesia for kidney transplantation; however, patients still report pain and unfavorable side effects. This present study compares the effectiveness of quadratus lumborum block (QLB) versus CE for managing pain and reducing morphine requirements following kidney transplantation. Methods: This randomized-controlled study compared 37 kidney transplant patients: a QLB group (N=19) who received 20 ml 0.375% ropivacaine injection bilaterally and a CE group (N=18) who received 0.2% ropivacaine epidurally by infusion at 6 ml/h. Participants were assessed at 2, 6, 12, and 24h postoperatively for morphine requirements and with a visual analogue scale (VAS) for pain while resting and moving. Results: The VAS scores when resting and moving were similar for both QLB and CE at all-time points (p>0.05 for both treatments). Postoperative morphine requirements also did not differ (p>0.05) between the two groups at any time point. Both groups had similar first-time morphine requirements (802.63 min for QLB vs 871.39 min for CE, p=0.814). Both groups achieved 100% blockade at the level of T10–L1 and had comparable Bromage and Ramsay scores. Conclusion: QLB appears to be a viable alternative approach to CE for pain management after kidney transplantation.
Zinc and Boron Application Improves Yield, Yield Components and Gross Returns of Mungbean (Vigna radiata L.)

Among pulses, mungbean is being considered as valuable cash crop in Pakistan but its productivity is under stress due to various agronomic and nutrient related management factors. Current study was planned to assess the interactive effect of soil applied zinc (Zn) and boron (B) under both field and pot managed conditions. Experiment was conducted at the Agronomic Research Area, Department of Agronomy, University of Agriculture, Faisalabad which is located at 31ᵒ North latitude and 73ᵒ East longitude with an altitude of 185 meters above sea level. The experimental treatments were comprised of three Zn (0, 2 and 4 kg Zn ha-1) and three B (0, 2 and 4 kg Zn ha-1) rates which were applied in nine combinations viz., B0Zn0, B0Zn2, B0Zn4, B2Zn0,B2Zn2,B2Zn4, B4Zn0, B4Zn2, B4Zn4. Results revealed that, variations between field and pot trials as treatment B0Zn4 helped to increase plant height (60.66 cm) and pod length (10.17 cm) in field trials while B2Zn4 positively affected plant height (56.8 cm 27 cm), number of pods per plant (38.78 20.66), pod length (9.28 cm 10.18 cm), number of nodules (12.56 9) and seed yield (1402 t ha-1 6.42 g plant-1) in both field and pot trials, respectively. Moreover, B2Zn4 treatment also improved the number of pod bearing branches per plant (9.03) and number of seeds per pod (8.36) in field trial as compared to control and other set of treatments. Yield related attributes were also significant with B2Zn2 treatment under field conditions but negative effects in terms of low yield and its related attributes were witnessed with other set of treatments under both experimental conditions. Based on this data, B2Zn4 isrecommended to farmers facing soil related Zn and B deficiency problems, to get maximum economic returns of mungbean.
The global usage rate of bed nets during the last ten years: a systematic review and  meta-analysis

Background: Malaria is an endemic disease especially in tropical areas transmitted by Anopheles mosquito through their bites. Therefore, bednets are one of the best methods for protection against their bites. However, many regions have limited access to bednets and limited knowledge about their importance. Objectives: Primary objectives were to estimate bednet possession and usage rate for last 10 years. Secondary objectives aimed to calculate the prevalence of specific bednets’ types.Methods: We performed an electronic search on 12 databases, and 106 studies were included obeying the criteria. Results: 106 studies included in our meta-analysis. Study participants were mostly from Africa while a few from Asia and southern America. Overall bednet ownership rate per households among countries was 72.1% (95% CI: 62.9-79.7) while per individuals was 52.5% (95% CI: 37-67.4). In addition, overall bednet usage rate per households among countries was 41.2% (95% CI: 25.1-59.3) same as bednet usage per individuals.Conclusion: Our study suggests that the bednet ownership and usage rate among different countries are less satisfactory, hence not maximizing the potential benefit of the bed net. There is a crucial need to increase awareness towards the bednet usage across endemic areas and implement programs for free distribution of bednets.
Elastic and Predictive Allocation of Computing Tasks in Energy Harvesting IoT Edge Networks

We consider a distributed IoT edge network whose end nodes generate computation jobs that can be processed locally or be offloaded, in full or in part, to other IoT nodes and/or edge servers having the necessary computation and energy resources. That is, jobs can either be partitioned and executed at multiple nodes (including the originating node) or be atomically executed at the designate server. IoT nodes and servers harvest ambient energy and jobs have a completion deadline. For this setup, we are concerned with the temporal allocation of jobs that maximizes the minimum level among all energy buffers in the network while meeting all the deadlines, i.e., that makes the network as much as possible energy neutral. Jobs continuously and asynchronously arrive at the IoT nodes, and computing resources are allocated dynamically at runtime, automatically adapting the processing load across nodes and servers. To achieve this, we present a Model Predictive Control based algorithm, where the job scheduler solves a sequence of low complexity convex problems and exploits future job and energy arrival estimates. The proposed technique is numerically evaluated, showing excellent adaptation capabilities, and performance close to that of an offline optimal scheduler with perfect information of all processes.
Chemical Composition of the Essential Oils of Pimpinella deverroides Boiss (Boiss.) from Iran

Abstract Hydro-distilled volatile oil from the aerial parts of Pimpinella deverroides Boiss (Boiss.) was obtained at yield of 1.2% w/w based on dry weight. The oil was analyzed by a combination of GC and GC-MS. 29 components were identified constituting 96.7% of the oil. The major constituents in the oil were iso-geijerene (20.3%), dictamnol (14.5%), pregeijerene (11.3%) and anethole (9.1%).
The Machine Learnings Leading the Cuffless PPG Blood Pressure Sensors Into the Next Stage

Recent works on the machine learnings designed for cuffless blood pressure (BP) estimation based on measured photoplethysmogram (PPG) waveforms are reviewed by this study, with future trends of the related technology developments distilled. This review starts with those based on the conventional pulse wave velocity (PWV) theory, by which few equations are derived to calculate BPs based on measured pulse arrival times (PATs) and/or pulse transit time (PTT). Due to the inadequacy of PATs and PPTs to characterize BP, some works were reported to employ more features in PPG waveforms to achieve better accuracy. In these works, varied machine learnings were adopted, such as support vector machine (SVM), regression tree (RT), adaptive boosting (AdaBoost), and artificial neural network (ANN), etc., resulting in satisfactory accuracies based on a large number of data in the databases of Queensland and/or MIMIC II. Most recently, a few studies reported to utilize the deep learning machines like convolution neural network (CNN), recursive neural network (RNN), and long short-term memory (LSTM), etc., to handle feature extraction and establish models integrally, with the aim to cope with the inadequacy of pre-determined (hand-crafted) features to characterize BP and the difficulty of extracting pre-determined features by a designed algorithm. Therefore, the deep learning opens an opportunity of achieving much better BP accuracy by using a single PPG sensor. Favorable accuracies have been resulted by these few studies in comparison with prior works. Finally, future research efforts needed towards successful commercialization of the cuffless BP sensor are distilled.
The Impact of Us Governmental Policies on the American Muslim Community after 9/11

This paper explores the effects of September 11 United States government policy and anti-terrorism regulation on American Muslim community. This research is important to show that there are many innocent American who were affected by the September 11 government policy and regulation such as the USA Patriot Act (Uniting and Strengthening America by Providing Appropriate Tools Required to Intercept and Obstruct Terrorism Act). The paper is based on a nationwide survey conducted upon Muslim community in US to attempt to explore the experience, attitudes and demographics of American Muslims. Results show that the education level, race, and citizenship have the most significant impact on the Muslim American perceptions of government policies. Nathanson (2013) interviewed 28 individuals. Her findings were that Bosnian face problems in terms of social and economic integration in Saint Louis. In her study, she used a qualitative approach. She narrated stories about the experiences of Bosnians in Saint Louis. She conducted 16 interviews with former Bosnian refugees, asking them about their experiences in terms of finding new houses, employment, access to credit, and social support. Nathanson‟s study focused on one community, the Bosnian Muslims, in Saint Louis. Her study was important for my dissertation because I intended to focus on the Bosnian Muslims, along with the Arab Muslims.
School Culture as a Tool for the Development of Occupational Commitment

: This research has been conducted to determine the relationship between school culture and teachers’ occupational commitment. The research was carried out according to the relational survey model for this purpose. The sample of the study consists of 377 teachers (150 male, 227 female) working in diﬀerent public schools in Istanbul’s Pendik district. The School Culture Scale and Occupational Commitment Scale have been used to collect the study data. The data obtained from the scales were transferred to the program SSPS. Frequency (f), mean (M), standard deviation (SD), kurtosis, and skewness coeﬃcients for the data have been calculated and parametric tests performed. According to the study’s findings, a significant relationship exists between teachers’ occupational commitment and school culture. A positive and moderate relationship has been found for teachers’ professional commitment with task culture, success culture, and support culture; meanwhile, a low and positive relationship exists between teachers’ professional commitment and bureaucratic culture. Task culture is the strongest school culture predicting teachers’ occupational commitment.