The study investigated the performance of cement and bagasse ash composite as soil stabilizer. The bagasse ash was obtained from Costus bracteatus Rowlee. Lateritic soil samples collected along a newly constructed road in Rivers State, Nigeria were prepared and analyzed for effect of the composite stabilizer on maximum dry density (MDD), optimum moisture content (OMC), consistency limits, California bearing ratio (CBR) and unconfined compressive strength (UCS). The results revealed that swelling potential, volume change MDD, OMC, liquid limit (LL), plastic limit (PL) and plasticity index (PI) of the stabilized lateritic soil decreased with increasing proportion of cement-bagasse ash composite, while CBR (unsoaked and soaked soil samples) and UCS were with increasing proportion of cement-bagasse ash composite. This study established that the optimum proportion of bagasse ash is 8% and that inclusion of an appropriate proportion of bagasse ash in cement in soil stabilization would enhance the properties of soil suitable for road pavement. Therefore, Costus bracteatus Rowlee is recommended to be used in soil stabilization, particularly as composite material.

The features of Python and its modules are compared in this paper against those of other programming languages like R. The article also delves into the characteristics and motivations that have contributed to Python and its modules' meteoric rise in favour among data scientists and app developers. Their value and importance in solving real-world problems and making meaningful advancements in existing applications are also not to be underestimated.

Flash floods are known to be most dangerous flood. In recent decades there is change in the climate and urban development causing increase in the risk of flash flood for human population. Remote sensing and geographical information system playing a very important and feasible role in assessment of the flash flood over a decade. This paper describes the synergetic use of Synthetic-aperture radar (SAR) data to delineate and mapping of the flooded area at its peak. The methodology was tested on the flash flood event that occurs in Jhajjar and Rohtak districts of Haryana in July, 2022. Four Sentinel-1 Synthetic-aperture radar data were acquired and pre-processed, two images are acquired before the occurrence of the event and two SAR images were acquired after the event. For the identification and demarcation of the flooded area, the rule-based classification approach was used. The results of the study suggests the scope of using multi-temporal Sentinel-1 VV polarized C-band SAR data to develop an operational flash-flood area identification and framework.

Equal Channel Angular Pressing (ECAP) is the most promising material processing technique involving severe plastic deformation, and has been extensively employed and analysed. The aim of this work is to examine the influence of ECAP on the behaviour of Lead alloy. The technique was applied to Lead alloy at room temperature using route C, at channel angles of 450, 600, 750, 900 and 1050. The materials were processed up to five ECAP passes. Hardness test, impact test, and microstructural changes of the processed materials were examined. Results show that extrusion force reduces as the strain level increases and that dynamic recrystallization and structural changes reduce the material hardness for all angles of ECAP. All the angles absorbed their least amount of energy at their 5th pass. Analysis of microstructure images also revealed that increasing the strain level leads to break down and dissolution of Antimony rich precipitate.

Vitamin C in different citrus juice samples were investigated; Citrus Limon, Citrus reticulate, Citrus paradise, and Citrus sinensis. Iodine titration was utilized for the determination of vitamin C in the different samples. The highest amount of vitamin C concentration observed in Citrus sinensis was 95 mg / 100 ml whereas Citrus reticulate showed low levels of 82 mg / 100 ml. The same tendency was observed in packed citrus juice, with the effect of cold temperature as though the content of vitamin C was less than in fresh citrus juice. Results revealed that; there is a loss of vitamin C content in all four storage conditions (days), Vitamin C reduces differently in citrus juice samples stored in different conditions. On the Fourth day Table 1. The rate at which vitamin C is lost depends on the temperature and time methods employed. It has been found that the hot environment provides the conditions for fast decay of vitamin C content and the room environment provides the conditions for slow decay of vitamin C content. In present analyzed samples values are different because of the fact that the composition of content vitamin c depends upon environmental factors. Hence it is always suggested to consume fresh juice rather than packed and stored one.

In recent decades, the Internet of Things (IoT) has grown rapidly, attracting the attention of scientists and businesspeople. In extreme conditions, autonomously scattered sensor nodes pose a high risk of failure and intrusion into the IoT, skewing sensor values. Abnormal data, anomalies, or outliers are sensor values that depart from norms. When abnormalities are factored into data analytics, the ultimate judgment is affected. Using data-driven algorithms for IoT outlier detection is a cutting-edge tactic in Machine Learning (ML). However, evaluating the effectiveness of implemented ML techniques for outlier detection in IoT, which have the minimal processing power and power sources to ensure data quality, raises several difficulties that have just recently begun to be addressed in the academic literature. This paper analyses the cutting-edge architecture, type, degree, technique, and detection mode of AI and statistical outlier detection strategies in IoTs. Also, each of the ways to find outliers is talked about in detail, along with ways to make them better.

Black soldier fly larvae feed on different organic materials. The nutritional composition of these larvae depends on the feeding substrate. The objective of this study is to determine the composition of macronutrients and micronutrients of fruits and vegetables used as substrate for the production of larvae. To do this, various fruits and vegetables were obtained from fruit and vegetable retailers of Carena in the commune of Plateau (Abidjan). These are the releases of sweet banana, watermelon, avocado, cucumber, papaya and orange. They were packed in a cooler, closed and transported to the experiment site. Samples of these fruits and vegetables were taken and chemically analyzed. It was determined metabolizable energy, the content of moisture, protein, fat, carbohydrate, cellulose, ash, minerals (potassium, phosphorus, calcium, sodium, and magnesium) and vitamin C. The results showed that sweet banana and watermelon are rich in protein respectively 2.20% ± 0.00 and 1.93% ± 0.00. The sweet banana is also rich in ash (4.80% ± 0.00) and mineral elements such as sodium (17.35 mg ± 3.68) and magnesium (30.8 mg ± 4.40). Avocado is energetic (161 ± 1.02 kcal). It is rich in fat (43.5% ± 0.01), potassium (339 mg ± 22.3) and phosphorus (52 mg ± 3.02). Orange and papaya are rich in vitamin C respectively 70 mg ± 3.00 and 64 mg ± 2.00. Watermelon and cucumber have a high water respectively 93.91% ± 1.00 and 91.4% ± 1.01. The have also a high cellulose content respectively 11.41% ± 0.01 and 11.1% ± 0.01. This study has shown that the fruits and vegetables used are excellent substrates. They are rich in macronutrients and micronutrients useful for the growth of black soldier fly larvae.