Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectrophotometric determination of lisinopril in pharmaceuticals using ninhydrin- a modified approach

An accurate and precise spectrophotometric method is presented for the determination of lisinopril based on the formation of a yellow colour product with ninhydrin in the presence of bicarbonate with an absorption maximum at 420 nm. The reaction proceeds quantitatively at 97±1℃ in 10 min. The calibration curve is linear over the range of 5.0-50. 0μg/mL and is described by the regression equation A=(-)0.0175+0.0079 C with a regression coefficient (r) of 0.9979(n=6). The calculated molar absorptivity and Sandell sensitivity values are 2.02×10^3 L/mol/cm and 0. 219μg/cm^2, respectively. The limits of detection (LOD) and quantification (LOQ) calculated as per ICH guidelines are 0.68 and 2. 07μg/mL, respectively. The within-day accuracy expressed as relative error was better than 2.5% with precision (RSD) ranging from 1.02 to 1.93%. The between-day accuracy ranged from 1.5-3.0% with a precision less than 4%. The method was successfully applied to the analysis of three brands of tablets containing lisinopril. The results obtained were in agreement with those obtained by the BP method. Accuracy was also checked by placebo blank and synthetic mixture analyses besides a recovery study via standard addition procedure. The method was also used to check the stability of lisinopril in solution.
Effect Of Aqueous Extracts of Chamomile and Arabic Gum On Indomethacin- Induced Toxicity In Rats

Arabic gum has been used as anti-inflammatory agent and chamomile has anti-inflammatory and antioxidant properties.This study investigated the efficacy of aqueous extracts of chamomile and Arabic gum on the toxic side effects of indomethacin in male albino rats. Thirty male albino rats (185±10 g) were divided into six groups, one of them was kept as a (-ve) control group (5 rats), while the other groups 25 rats were treated orally with indomethacin (25mg / kg b.Wt.) once daily for twenty-one (21) days. One group was kept as (+ve) control group, while others were given aqueous extracts of chamomile for 2 groups and Arabic gum for the other 2 groups(500 and 1000 mg/kg) orally daily. Feed intake (FI), body weight gain % (BWG %) and feed efficiency ratio (FER) were carried out. Serum glutamic oxaloacetic transaminase(GOT) and serum glutamic pyruvic transaminase (GPT) were evaluated. Serum creatinine and urea were analyzed. Red blood cell and white blood cells count were measured. Hemoglobin concentration was estimated. Also, histopathological changes for liver were examined.The obtained results concluded that using the tested drinks improved previous mentioned parameters. The best results were obtained on using the high doses of aqueous extracts. According to the results, the author recommended the trial on human beings.
A Method of Describing a Self-occlusive Motion - A Reverse Motion History Image

: This paper proposes a new method of describing a self-occlusive human motion, particularly in the depth direction, which has been considered little in the motion/action recognition studies to date in spite of its importance in our daily life. A Motion History Image (MHI) is a well-known method of describing a motion by a single gray value image, but it suffers from a self-occlusion problem in which present motion overwrites past motion. To solve this difficulty, a Reverse description MHI (RMHI) is proposed in the paper. RMHI and the original MHI are both employed for motion representation in the proposed method; the former for approach motion, whereas the latter for leave motion. In the experiment on motion recognition, motions are described by RMHI or MHI according to motion direction, transformed then to Hu moment vectors, and finally recognized employing the k-nearest neighbor. Experimental results show effectiveness of the RMHI description.
Agrobacterium-mediated transient assay of the 2 gus gene expression in sugar beet

5 6 7 . 8 ABSTRACT 9 10 Modification of transformation systems with a set of markers is of priority in breeding programs to confirm whether the transgene has been successfully transmitted to the host cells. Transient expression is a fast and simple way to analyze promoter expression. This method is not affected by the position of the transgene in the target genome, because this can affect the transgene expression. In the present study, the gus reporter gene with the CaMV 35S promoter and nptII selectable gene were used for optimization of transformation event in sugar beet. The results demonstrated the activity of β-glucuronidase in the Agrobacterium cells showing suppressed expression of the prokaryotic reporter gene. The function of the pCAMBIA2301 vector was assessed through inoculation of beet shoot apex with Agrobacterium. The results demonstrated that cells adjacent to the main vein of leave in plantlets reared from tissue cultured apical meristems that were suitable for transformation and regeneration. The highest shoot regeneration was achieved for tissue-cultured leaf explants grown in the presence of BA, IBA and TDZ media. In this study, an improved protocol for regeneration and genetic engineering of a sugar beet genotype was described using the tested vector. Analysis of GUS Histochemical and PCR of T0 generation demonstrated that the tested vector enables the expression of the gus reporter gene in the transgenic plants that was an evidence of transient expression.
Piégeage et refroidissement laser du strontium : étude de l'effet des interférences en diffusion multiple

Dans cette these, nous presentons la realisation d'un piege magneto-optique de strontium charge a partir d'un jet atomique ralenti par laser. Pour cela, nous avons developpe un laser bleu a 461 nm de puissance 200 mW obtenu en doublant la frequence d'un laser infrarouge a semi-conducteur. Notre piege magneto-optique nous a permis de pieger 10^7 atomes a une temperature de 8 mK. Nous avons utilise ce gaz d'atomes froids de strontium pour etudier l'effet des interferences en diffusion multiple. Plus particulierement, nous avons mesure le cone de retrodiffusion coherente en utilisant de la lumiere resonnante avec la transition J=0 - J=1 du strontium. Le facteur d'amplification proche de 2 obtenu dans le canal h // h montre que contrairement au rubidium, l'effet des interferences en diffusion multiple qui jouent un role crucial dans la localisation forte n'est pas reduit sur strontium. En vu de realiser un piege magneto-optique sur la transition etroite du strontium, nous avons developpe un laser a 689 nm asservi en frequence sur une cavite ultrastable. Nous avons mesure une largeur spectrale inferieure a 1 kHz qui est suffisante pour l'experience. Enfin, nous presentons une etude theorique du refroidissement Doppler sur une transition etroite.
Development and investigation of common wheat lines of winter cultivar Bezostaya 1 with combinations of dominant alleles of VRN-1 loci

VRNgenes, determining wheat sensitivity to vernalization, are the main genetic system that defnes the duration of the entire growing period and the durations of the main organogenesis phases. To date, several alleles have been described forVRN-1loci, and allele­specifc primers have been developed that allow rapid identifcation of allelic spectra in common wheat varieties and lines. The unequal inﬂuence of diﬀerent alleles ofVRN-1loci on the duration of the growing period has also been shown; however, there is little information on the eﬀect of the combination of diﬀerent alleles on heading time. In developing genotypes having diﬀerent alleles of dominantVRNgenes on the base of the same genetic background, it is necessary to study the genetic eﬀects ofVRNgenes on the duration of the growing season and the individual developmental phases, as well as on productivity. Most varieties presently grown in Russia carry the dominant alleles of twoVRN-1genes:Vrn-A1aandVrn-B1aorVrn-B1c; thus, the task was to create lines combining the dominant alleles ofVrn-A1awithVrn-B1aandVrn-B1cagainst the genetic background of the winter variety Bezostaya 1 (Bez1Vrn-A1a/Vrn-B1aand Bez1Vrn-A1a/Vrn-B1c). Homozygous plants were isolated in the F2 generation by using known allele­specifc primers for theVrn-A1andVrn-B1loci. The durations of the tillering–frst node period, which is the key stage determining growing duration, and the period from shoots to heading were signifcantly reduced in lines with a combination of two dominant alleles ofVRN-1loci compared to isogenic lines of Bezostaya 1 with the dominant allelesVrn-B1aandVrn-B1c. The duration of these developmental phases also decreased in the obtained lines as compared to the isogenic line containing the dominantVrn-A1aallele, but the diﬀerences were not signifcant. No substantial diﬀerences were found in the duration of other growing phases in lines with two dominant alleles of theVRN-1loci as compared to isogenic lines of Bezostaya 1.
Development, characterization and evaluation of herbal ointment containing momordica charantia, pongamia glabra and piper nigrum

Objective: The objective of present study was the development, characterization and evaluation of poly-herbal ointment formulation of pongamia glabra, piper nigrum and momordica charantia extract. Plant derived substances and herbal medicines have recently attracted the great interest towards their versatile application. Medicinal plants are the richest source of bioactive compounds used in traditional and modern medicine. The ointment formulation of plant extract has a sound approach to develop a poly-herbal ointment. The poly-herbal ointment formulation was evaluated for its physicochemical parameters like color, odor, pH, spreadability, extrudability, consistency, diffusibility, solubility, washability and stability. Materials and methods: Extract of all three plants has been separated by the soxhlet extraction. Poly-herbal ointment has been prepared by mixing the extract of momordica charantia, pongamia glabra and piper nigrum with wool fat, Cetostearyl alcohol and paraffin. Results and conclusion: Physicochemical evaluation shows that the poly-herbal ointment fulfilled the criteria as herbal formulation and irritancy test also performed indicate the effectiveness and efficacy of prepared ointment formulations. The poly-herbal ointment formulations were also evaluated for its stability at various temperature conditions which shows no change in the irritancy, spreadability and diffusion study. Thus it could become a medium to use the medicinal properties of extracts effectively and easily as a simple dosage form. Keywords: Momordica charantia, pongamia glabra, piper nigrum, ointment, Cetostearyl alcohol.
High–resolution maser studies of galactic nuclei

Water vapour masers are proving to be remarkably useful probes of the neutral accretion discs surrounding black holes at radii of a few tenths of a parsec. This paper describes the observational results on NGC 4258, including measurements of the magnetic field (less than 300 mG), the accelerations of the high–velocity features (−0.8 to 0.4 km s−1yr−1), and the distance (7.2±0.5 Mpc). The status of measurements of other masers with resolved structure is also described.
A Review on Computer Vision-Based Techniques for Autism Symptoms Detection and Recognition

Autism is a mental disorder appearing in children as a delay in their social and communicational skills. ASD causes are still mysterious but scientists believe that they are caused by genetic defects. Diagnosing autism has been an exhaustive process that attracts several researchers’ attentions. In this work, an overall description of autism its classes, signs and diagnosing protocols are covered. As computational technologies helped in assisting almost every field it added advantages in detecting and recognizing autism In this work, deep investigation of computer vision-based protocols in cooperation with machine learning technologies are discussed to propose autism diagnosing solution.
Influence of Free Secondary Education Policy on Educational Wastage Rate in Kericho County, Kenya

In pursuance of provision of Education for All, Free Secondary Education (FSE) policy was adopted in 2008 to enhance access, improve quality, equity, relevance and Gender Parity in the provision of Secondary School Education in Kenya. The first cycle of students who benefitted from FSE policy graduated in 2011. The national mean Gender Parity Index (GPI) for 2004 to 2007 was 0.88 while in Kericho County it was 0.69 lower than national. The form to form transition fluctuated as between 9,103 and 9,333 in Kericho County. The influence of FSE policy on Educational wastage rate in was not known. Therefore, the purpose of this study was to establish influence of FSE Policy on wastage in Kericho County. Objectives of the study were to; determine the influence of FSE policy on wastage rate in Kericho County. The study was based on the concept of investment choices and consequently a conceptual framework was formulated. The independent variable was FSE policy and dependent variable was educational wastage rates. Descriptive, ex-post factos and correlational research designs were adopted. The study population was 4,457 Principals, Sub County Quality Assurance and Standard Officers, Directors of Studies and form IV students of 2011. The sample size was 485. Snowball and saturated sampling techniques were used to select respondents. Questionnaire, interview schedules, Focus Group Discussion, interview guide and document analysis guide were used to collect data. Reliability coefficient of the principals’ questionnaire was 0.80 at set p-value of 0.05. Quantitative data was analyzed using Cohort Analysis, descriptive and inferential statistics. Qualitative data was transcribed and analyzed in emergent themes and sub themes. The study established that there was a weak negative relationship between FSE policy and educational wastage rate with a coefficient of -0.22 at a p-value of 0.05, meaning it accounted for 5% of the variation. The study concluded that FSE policy reduced wastage rates. The study recommended that FSE fund should be reviewed upward to reduce educational wastage rates. The findings of this study are significant to stakeholders in education as it informs them on the need to review the policy with a view to improving secondary school education so as to achieve the objectives of FSE policy. Keywords: Influence; FSE policy; Educational wastage rate in Kericho County
Comparison of gender roles in male and female in patients with borderline personality disorder (BPD) with control group and it’s correlation with severity of clinical symptoms

Methods: In this case-control study, 17 males and 25 females with borderline personality disorder, and 22 males and 18 females in control group were examined. To evaluate the sex roles, the Bem sex role inventory (BSRI) and the gender masculine (GF) and gender feminine (GF) roles derived from the Minnesota Multi-Stage Personality Inventory (MMPI-2) were used. The borderline personality disorder and its severity were diagnosed using a semistructured clinical interview based on DSM-IV for personality disorders (SCID-II). Pearson correlation coefficient and variance analysis were used to analyze the findings.
Impact of Personality traits on Workplace Deviance — A Pakistani Perspective

This research-based study investigated empirically the impact of agreeableness personality traits to workplace deviant behavior in employees working in different organizations. We collected data through cross-sectional method from 290 employees who can read and understand English. Previous studies conducted related to these constructs confirmed that questionnaires in English language are appropriate for data collection. Correlation and regression analysis were used to analyze the data because it fulfills the purpose related to this research. The study found that agreeable personality trait is negatively related to workplace deviance or employees with agreeableness personality trait remain focused on their job in organization. Or employees who are low in agreeableness trait are likely to exhibit deviant work behavior at work-setting. The study suggested that organizations should consider personality traits while hiring new employees. This practice will reduce workplace deviant behavior in the work setting of organizations.
Evaluation of diets based on Brachiaria grass with different levels of byproducts from the biodiesel industry using in vitro gas production degradability

This study was performed to evaluate the production of gas and volatile fatty acids in diets containing byproducts from the national biodiesel industry (castor bean, canola, forage turnip, and black sunflower) in four levels (0, 30, 50 and 70%), through the use of a semi-automated in vitro technique. The inoculum for in vitro incubation was obtained from three fistulated Holstein cows. This was a 4 x 4 factorial completely randomized experimental design consisting of four levels of four byproducts. The byproduct of forage turnip was the ingredient of greatest potential for producing acetate, propionate, and butyrate. The increased production of carbon dioxide and methane in relation to the degraded dry matter was obtained using the byproduct of canola (P<0.05). The byproduct of castor bean resulted in the lowest potential for producing acetate, propionate, and butyrate; and among the evaluated byproducts it can be considered the one with the least impact to the environment without damage to ruminal fermentation.
Modèle LSTM encodeur-prédicteur pour la prévision court-terme de l'affluence dans les transports collectifs

Les possibilites offertes en termes de collecte et de stockage de donnees permettent de renouveler les approches de modelisation dans le domaine du transport. L'exploitation croisee de differentes sources de donnees a pour vocation la creation de services a forte valeur ajoutee pour l'usager. Les travaux detaillees dans cet article portent sur le developpement de modeles de prevision a base de methodes d'apprentissage notamment profond, pour la prevision court-terme de la charge (nombre de passagers) des trains. Cette prevision de l'affluence dans les trains peut servir a enrichir l'information voyageur a destination des usagers des transports collectifs qui peuvent ainsi mieux planifier leur deplacement. Elle peut egalement servir aux operateurs de transport pour une regulation "a la demande" de l'offre de transport. La principale difficulte dans la prevision est liee a la variabilite intrinseque des series temporelles des charges a predire, induite par l'influence de plusieurs parametres dont ceux lies a l'exploitation (horaire, retard, type de mission.) et au contexte (information calendaire, grand evenement, meteo,.). Nous proposons un modele LSTM encodeur-predicteur pour resoudre cette tâche de prevision. Plusieurs experimentations sont menees sur des donnees reelles du reseau Transilien de la SNCF sur une duree d'un an et demi. Les resultats de prevision sont detaillees en vue de comparer les performances d'un tel modele a plusieurs horizons temporels avec celles d'autres modeles plus classiques utilisees en prevision.
Machine Learning Model - based Prediction of Flight Delay

Prior prediction of flight arrival delays is necessary for both travelers and airlines because delays in flights not only trigger huge economic loss but also airlines end up losing their reputation that was built for several years and passengers lose their valuable time. Our paper aims at predicting the arrival delay of a scheduledindividual flight at the destination airport by utilizing available data. The predictive model presented in this work is to foresee airline arrival delays by employing supervised machine learning algorithms. US domestic flight data along with the weather data from July 2019 to December 2019 were acquired and are used while training the predictive model. XGBoost and linear regression algorithms were applied to develop the predictive model that aims at predicting flight delays. The performance of each algorithm was analyzed. Flight data along with the weather data was given to the model. Using this data, binary classification was carried out by the XGBoost trained model to predict whether there would be any arrival delay or not, and then linear regression model predicts the delay time of the flight.
The Statistical Temporal Properties of Vehicular Visible Light Communication Channel

In this paper we study the temporal properties of vehicular visible light communication (VVLC) channel that take the dynamic nature of traffic conditions into consideration. We study two-dimensional temporal channel model considering the time and signal propagation delay. We also investigate the time stationary property and the time dispersion parameters of the channel based on a real-time traffic conditions at different time periods of the day. The results show that at high-density traffic, larger number of multipath components are received with higher amplitude and lower propagation delay than the multipath components received at low-density traffic. The results also show that the VVLC channel is time-variant nonstationary with flat and slow fading, at high-density traffic. However, the VVLC channel can be considered stationary for specific time duration with flat slow fading and the reflectors are uncorrelated at low-density traffic.
Versatile and transparent model to estimate the disturbance potential of overhead transmission lines in the context of HVDC transmission using voltage source converter

Estimating the disturbance potential of an overhead transmission line (OHL) on radio services in the context of HVDC transmission using voltage source converter (VSC) is a crucial part in the process of electromagnetic compatibility compliance evaluation. Although the multilevel VSC technology is regarded as the solution for future direct current (DC) grids, a model to estimate the disturbance potential of such a system is still missing in international standards. This paper presents a versatile and transparent approach to quantify the disturbance potential by describing the relevant parameters as statistical quantities derived from available information on the basis of CISPR 16-4-4. In the end, the presented procedure is applied on an exemplary use case.
Smart Healthy Intelligent Room: Headcount through Air Quality Monitoring

In this work, we propose a low-cost Smart and Healthy Intelligent Room System (SHIRS), able to monitor Indoor Air Quality (IAQ) by enhancing edge-based computation. SHIRS exploits the ability to run Machine Learning (ML) algorithms to infer humans presence (headcount) from environmental data analysis. Experimental results show the validity of the proposed approach, demonstrate the potential of edge-based computing and push towards the adoption of smart integrated Cloud-IoT frameworks for environmental monitoring and control.
D2D-enabled Multicast Optimal Scheduling in mmWave Cellular Networks

MmWave communications have been considered as the key enablers for future mobile cellular networks. The narrow beam communication of the mmWave large-scale antenna system suppresses co-channel interference and has greater potential for parallel communication and spatial multiplexing. Meanwhile, the introduction of multicast via point-to-multipoint communications further improves the spectrum efficiency for mmWave small cells. In order to reduce energy consumption, concurrent transmission and device-to-device (D2D)-enabled multicast has attracted great interests of many researchers, and some heuristic solutions have been provided. In this paper, we propose an optimal D2D-enabled multicast scheduling policy (OSP) aiming to minimize energy consumption in mmWave cellular networks. The optimal scheduling strategy is obtained by formulating the joint optimization of D2D pairing, parallel link selection and time slot allocation into an integer linear program (ILP) problem. Specifically, the concurrent transmissions which globally maximizes the spatial sharing gain while consuming the least energy at each time slot are identified by solving the ILP problem. Extensive simulations results demonstrate that our proposed algorithm reduces energy consumption by more than 18% compared with the baselines in all cases.