Reformation of Slums

The world keeps getting better in every aspect including housing and infrastructure and the growing technology keeps improving affordable housing, but the chances of completely eradicating slums will remain slim because there will always be people unable to afford better housing than slums have to offer. Aside from the fact that a slum is known as being the residential environment with the poorest living conditions, it is also known for various negative activities and a relatively high crime rate. The notion that an environment greatly influences an individual holds out the necessity to create better living conditions that will in time nurture and improve the individual. To this end, the reformation of slums should be a priority. In as much as these slums cannot be eradicated completely, physical upgrading of slums with improved street networks, better building materials, better air quality, easy access to basic municipal services, improves natural ventilation, natural lighting and better drainages will prove to make positive changes economically, socially and reduce crime rates in many cities. It will also improve the physical general wellbeing of communities. In conclusion, a community, no matter how small has the ability to influence the general well-being of an entire nation. Paying a little more attention to the physical reformation of slums will positively affect the world at large in the long run

The use of measurement frameworks to explore the qualities of test items

Psychometricians and researchers have grown increasingly concern about students’ performance. It is noteworthy from observation in the selected university of education in Nigeria that many of these students do not attend lectures for general courses particularly EDU 222 (tests and measurement) due to overcrowded lecture halls, the classroom climate factor, and other latent factors, such as exam conditions, test anxiety among others. Consequently therefore, students’ performance in EDU 222 does not significantly correlate with these challenges. The characteristics of the item parameter of the Tests and Measurement achievement test at the selected University of Education in Ogun State, Nigeria, were therefore examined in this study using measurement theories. The study employed an ex-post facto research of non-experimental design. Purposive sampling was used to select 6,203 second-year undergraduates offering EDU 222 for the 2018/2019 academic year. To analysis students’ responses to 30 multiple-choice questions on tests and measurement, factor analysis, item calibration, an independent sample t-test with a significance threshold of 0.05 were utilized with empirical reliability of 0.64. The results showed the test items satisfied the three-parameter logistics model and uni-dimensionality assumption. The findings also showed that the item response theory (IRT) eliminated 7 items due to guessing, while the classical test theory (CTT) eliminated 13 items. The test is prone to guessing, thus, helps pupils do better on the exam. To establish parameter estimates during test development, higher education institutions (HEIs) should employ the use of IRT

Post-authorship attribution using regularized deep neural network

Post-authorship attribution is a scientific process of using stylometric features to identify the genuine writer of an online text snippet such as an email, blog, forum post, or chat log. It has useful applications in manifold domains, for instance, in a verification process to proactively detect misogynistic, misandrist, xenophobic, and abusive posts on the internet or social networks. The process assumes that texts can be characterized by sequences of words that agglutinate the functional and content lyrics of a writer. However, defining an appropriate characterization of text to capture the unique writing style of an author is a complex endeavor in the discipline of computational linguistics. Moreover, posts are typically short texts with obfuscating vocabularies that might impact the accuracy of authorship attribution. The vocabularies include idioms, onomatopoeias, homophones, phonemes, synonyms, acronyms, anaphora, and polysemy. The method of the regularized deep neural network (RDNN) is introduced in this paper to circumvent the intrinsic challenges of post-authorship attribution. It is based on a convolutional neural network, bidirectional long short-term memory encoder, and distributed highway network. The neural network was used to extract lexical stylometric features that are fed into the bidirectional encoder to extract a syntactic feature-vector representation. The feature vector was then supplied as input to the distributed high networks for regularization to minimize the network-generalization error. The regularized feature vector was ultimately passed to the bidirectional decoder to learn the writing style of an author. The feature-classification layer consists of a fully connected network and a SoftMax function to make the prediction. The RDNN method was tested against thirteen state-of-the-art methods using four benchmark experimental datasets to validate its performance. Experimental results have demonstrated the effectiveness of the method when compared to the existing state-of-the-art methods on three datasets while producing comparable results on one dataset.The Department of Science and Technology (DST) and the Council for Scientific and Industrial Research (CSIR).https://www.mdpi.com/journal/applsciam2023Computer Scienc

Effects of Increasing Chitosan Nanofibre Volume Fraction on the Mechanical Property of Hydroxyapatite

This work attempted to synthesize chitosan (CH) nanofibre from crab shell and hydroxyapatite, HA, from limestone with the objective of studying the effects of increasing volume fraction of chitosan nanofibre on the mechanical properties of HA. Mechanical characterization of different fraction composite was carried out to study the effects of increasing volume fraction of chitosan nano fibre on the mechanical properties of HA. In addition, surface characterization of the composite was carried out using Fourier Transform Infrared Spectrometry, FT-IR. Results obtained indicated that the optimum mechanical properties were obtained at a volume fractions of 30: 70, CH: HA respectively; average compressive strength of 10.12 MPa; average tensile strength of 173.9 MPa; average hardness value of 420.80 HV; average fracture toughness of 14.72 MPa.m1/2; average elastic modulus of 0.1583 GPa and average bending strength of 157.96 MPa were obtained for this optimum volume fractions. Increasing volume fractions of chitosan nanofibre was therefore found to result in decrease in compressive strength, hardness and elastic modulus of HA while its tensile strength, bending strength and fracture toughness increased. The FTIR revealed that possible interaction between the NH2 group and the primary and secondary –OH group of CH with Ca2+ (metal coordination interaction) of HA might be responsible for the higher mechanical property of HA. In conclusion, it was found that increasing chitosan volume fraction in chitosan/HA composite results in increasing strength of hydroxyapatite, consequently enhancing its load bearing ability

Occupation-Related Stress among University Faculty Staff in Kwara State, Nigeria: Outcomes on Goal Achievement

This study examined occupational-related stress among university faculty staff and its implications on goal attainment of universities in Kwara State, Nigeria.  The research design was a descriptive research of a cross-sectional survey. Multi-stage sampling technique was used for the selection of 458 faculty staff. Data were collected with the use of 57-item questionnaire. Data collected were analyzed with relevant statistics like percentage, mean, standard deviation, t-test statistics and analysis of variance (ANOVA). Findings revealed that the level of stress among faculty staff was high (3.25), while stress level differs based on gender (p<.05), age (p<.01), marital status (p<.01), work experience (p<.05) and ownership of workplace (p<.05). The prominent risk associated with occupational-related stress were the organizational-related (cluster mean 3.26) and role-related (CM 3.26) factors. Finding further indicated that the social support (CM 3.00) and individual-focused (CM 2.91) coping strategies were moderately adopted for managing occupational-related stress among university faculty, while the organizational support coping strategy was utilized to a low extent (CM 2.47). The findings implicate the attainment of university goals because of the negative effect high-stress level will have on the physiological and behavioural state of faculty staff adding to destructive work and health anomalies

Synthesis and Characterization of Cowry and Crab Shells Based Chitosan for Drug Delivery

This work aims to synthesize chitosan from locally available cowry and crab shells for Pharmaceutical application in drug delivery. Chitosan was synthesized from both shells using standard deacetylation technique. The synthesized chitosan, piroxicam and lactose were employed in preparing the drug loaded tablets by direct compression technique and subjected to characterization with the aid of Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Spectroscopy (SEM) and optical microscopy. Finally, the drug release rate was investigated with in vitro drug dissolution test. The results of FTIR spectra confirmed that the biopolymer extract was chitosan and it also shows that there was no interaction between chitosan and the piroxicam. The morphological properties of the samples were found to be suitable for drug delivery. The applied load and composition of tablets influenced the drug release rate

Investigation of Physicochemical and Mechanical Property of UTAN Granites for Building Applications

The granite formation for production of dimension stone blocks at Utan was investigated in three different locations A, B and C in a view to examine the physical properties of Utan granite using saturation and Buoyancy technique; evaluate some of its mechanical properties; determine its rate of emission of radioactive elements with Geiger Muller Counter; examine its polish-ability; and carry out chemical analysis of the granite samples with the aid of energy dispersive x-ray florescence (ED-XRF). The average porosity obtained is 0.53, 1.08; and 0.86 while the respective average density of 2.58, 2.62 and 2.60 g/cm3 were obtained for A, B and C. The compressive strength of 207.5, 204.6 and 203.4 MPa; and tensile strength of 13.86, 13.68 and 13.60 MPa were obtained for A, B and C respectively. Rockwell hardness values obtained are 89.0, 89.9 and 86.6 while the morh’s hardness values are 6.90, 6.96 and 7.03 respectively for sample A; B and C. The impact values obtained are 0.089, 0.092 and 0.094 for A, B and C respectively. The radioactive rates of samples A, B and C are 6.42, 8.86 and 8.16 Mrem respectively. Sample B is observed to be more radioactive. Both samples are polish able. Conclusively, the three tested granite rocks have suitable physical and mechanical properties that meant the requirement for building purposes; from the polish-ability test, it shows that the three (3) granite outcrops are suitable for the production of granite tiles; countertops; slabs. The chemical analysis revealed that the granite is dominated by quartz (SiO2) which contributes greatly to the hardness of the rock. Also from the radioactive test, the granite samples proved conclusively that the rate of radiation found occasionally in a slab of granite is not harmful to humans when exposed to it. Hence, granite the formation of Utan will be a good building stone material

Comparative Study of Local Mining Methods and Assay of Cassiterite with other Alluvial Mineral Deposits in Kuru-Jantar, Plateau State, Nigeria

This research attempt to investigate and compare the local mining methods of cassiterite in Kuru-Jantar with the view to determine the mean recovery per day using statistical approach, separating the valuable minerals through the gravity and magnetic techniques, determine the grade of cassiterite (tin oxide) with the aid of volumetric and energy dispersive x-ray florescence (XRF) analyses; and determine the percentage composition of metals in cassiterite as well as its associate ores with the aid of (XRF). Sub-surface (lotto) and surface (Hand paddock) mining methods were carried out and the respective recovery from each of the method was subjected to processing, sampling and assaying to determine the quantity, quality (grade) and expected smelter-yield. The mean recoveries per day are 14.48 and 11.28 kg/day for lotto and paddock mining methods respectively. The burretting differential obtained for the lotto and paddock methods are 18.80 – 19.80 and 18.80 – 19.30 respectively while their respective percentage tin metal burretted are 90.40 – 97.83 and 92.51 – 97.80 %. The recoveries from the magnetic and gravity separations are 10.91 kg and 9.06 kg for lotto and paddock methods respectively. The XRF analysis gave 68.69 and 66.462 % Sn respectively for the lotto and paddock while the assaying of other associate minerals are 40.4 % Nb; 26.5 % Fe; 22.3 % Ti; 2.5 % Ta; 2.3 % Sn; and 5.1 % W for the paddock and 37.6 % Nb; 24.8 % Fe; 21.5 % Ti; 2.3% Ta; 5.8 % Sn; and 4.9 % W for lotto. It can be observed that the lotto mining method has the highest recovery per day and hence, gives better recovery than paddock mining method. Lotto mining was found to yield higher grade tin-ore concentrate than the hand paddock mining method in both volumetric and XRF analyses but hand paddock gives higher quantity and more associate minerals. It was also found out that the lotto method is more risky and life threatening than paddock mining while the paddock mining practices render more danger to environment than the lotto mining