Nadeem Akhtar , Muteb Faraj Alharthi , Sajjad Ahmad Khan , Akbar Ali Khan , Muhammad Amin
{"title":"Bayesian estimation strategy for multi-component geometric life testing model under doubly type-1 censoring scheme","authors":"Nadeem Akhtar , Muteb Faraj Alharthi , Sajjad Ahmad Khan , Akbar Ali Khan , Muhammad Amin","doi":"10.1016/j.kjs.2024.100339","DOIUrl":"10.1016/j.kjs.2024.100339","url":null,"abstract":"<div><div>This study develops a Bayesian approach for estimating the unknown parameters of the 3-component mixture of geometric (3-CMG) model under a doubly type-I censoring scheme <strong>(</strong>DT1CS<strong>)</strong>. The derivations of the Bayes estimators (BEs) and Bayes risks (BRs) are presented under square error loss function (SELF), precautionary loss function (PLF) and DeGroot loss function (DLF) using Beta prior under DT1CS. The strategy is evaluated through extensive simulation and real-life data analysis, showing the strength and efficiency of the newly proposed model. The study recommends that the SELF is the optimal choice for accurately estimating the unknown parameters of the 3-CMG model.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100339"},"PeriodicalIF":1.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zulhadjri , Alfir Rizki , Yulia Eka Putri , Tio Putra Wendari , Nandang Mufti , Henry Setiyanto , Muhammad Safwan Aziz
{"title":"Innovative synthesis and performance enhancement of yttria-stabilized zirconia nanocrystals via hydrothermal method with Uncaria gambir Roxb. leaf extract as a capping agent","authors":"Zulhadjri , Alfir Rizki , Yulia Eka Putri , Tio Putra Wendari , Nandang Mufti , Henry Setiyanto , Muhammad Safwan Aziz","doi":"10.1016/j.kjs.2024.100342","DOIUrl":"10.1016/j.kjs.2024.100342","url":null,"abstract":"<div><div>Yttria-stabilized zirconia (YSZ) is a ceramic material with versatile applications, yet its synthesis and performance improvements remain essential. This study introduces an innovative hydrothermal synthesis method with pH control and <em>Uncaria gambir</em> Roxb. leaf extract as a bio-capping agent for YSZ nanocrystals with the composition Zr<sub>0.92</sub>Y<sub>0.08</sub>O<sub>1.96</sub>. Structural analysis revealed that the capping agent led to a single-phase cubic structure, enhancing YSZ stability and performance. Scanning electron micrographs showed improved particle homogeneity and reduced agglomeration in the presence of the bio-capping agent. Infrared spectroscopy highlighted the vibrational features of YSZ, including O–Y–O and Zr(Y)–O bonds. The bio-capping agent significantly affected YSZ ionic conductivity and activation energy for ionic migration. These findings underscore the potential of utilizing <em>Uncaria gambir</em> Roxb. leaf extract as a bio-capping agent to enhance the structural stability and ionic conductivity of YSZ nanocrystals, with implications for applications in solid oxide fuel cells and other ionic transport systems.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100342"},"PeriodicalIF":1.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tanveer Ahmed , Khaista Rehman , Muhammad Iqbal Hajana , Sajjad Ahmed , Syed Haroon Ali , Qamar Yasin
{"title":"A reappraisal of Mesozoic-Cenozoic sequence stratigraphy in Offshore Indus Basin, Pakistan","authors":"Tanveer Ahmed , Khaista Rehman , Muhammad Iqbal Hajana , Sajjad Ahmed , Syed Haroon Ali , Qamar Yasin","doi":"10.1016/j.kjs.2024.100338","DOIUrl":"10.1016/j.kjs.2024.100338","url":null,"abstract":"<div><div>The Offshore Indus Basin is a passive continental margin and a frontier zone for hydrocarbon exploration based on structural and stratigraphic features observed on seismic data. In this study, the seismic and biostratigraphic framework is established using seismic data, geophysical well logs, along with biostratigraphic information to define the depositional sequences in the study region. A re-examination of the seismic data exhibits normal faults and a total of six seismic sequences ranging from Cretaceous to Quaternary. <em>Nummulites atacicus</em>, <em>Nummulites globulus</em>, <em>Discocyclina</em> sp., <em>Miscellanea miscella</em>, and <em>Ranikothalia</em> sp. are the major identified fauna in the Karachi South A1 well (2030–2724 m). The <em>Miscellanea miscella, Ranikothalia</em>, and <em>Discocyclina</em> sp. ages range from 55 to 56.5, 55–59, and 55–59 Ma respectively. Employing biostratigraphy, <em>Ranikothalia</em>/<em>Miscellanea miscella</em>/<em>Discocyclina</em> biozone (55–59 Ma), a single sequence, a third order cycle of deposition and transgressive and highstand system tracts have been recognized in the Karachi South A1 well. Linking biostratigraphic results to seismic stratigraphy indicates that the strata located in the range of 2030–2724 m is of the Ranikot (Paleocene) Formation and has been previously given Eocene age rather than the Paleocene using vintage seismic data. The environment of deposition of the Ranikot Formation in the Karachi South A1 well is the subtidal environment of the middle-shelf (30–45m depth) setting.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100338"},"PeriodicalIF":1.2,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comprehensive review of spatial distribution modeling of plant species in mountainous environments: Implications for biodiversity conservation and climate change assessment","authors":"Sadaf Safdar , Isma Younes , Adeel Ahmad , Srikumar Sastry","doi":"10.1016/j.kjs.2024.100337","DOIUrl":"10.1016/j.kjs.2024.100337","url":null,"abstract":"<div><div>Species Distribution Modelling (SDM) techniques, developed in the 1980s, have gained significant attention in recent years. These techniques are increasingly recognized as powerful tools to support forest management strategies in the context of climate change. This study presents a comprehensive literature review of SDM techniques in mountainous environments, utilizing remote sensing techniques and data. Forty-one published papers were reviewed, covering 25 years (1997–2022). The review explores various SDM techniques, the use of remotely sensed data, accuracy assessments, environmental variables, and the limitations and challenges of species distribution modeling in mountainous environments across different spatial scales. The study revealed that the most widely used SDM techniques were Maximum Entropy (MaxEnt), Random Forest (RF), and Generalized Linear Models (GLMs), with recent studies emphasizing machine learning. We describe different modeling algorithms, including presence-only and presence/absence modeling algorithms, machine-learning algorithms, distance-based algorithms, and regression-based algorithms. This study presents the first global literature review of SDM techniques in mountainous environments, emphasizing the necessity of considering the uncertainties associated with climate change scenarios. This study also argues the strengths and limitations of SDM techniques in mountainous environments. Despite limitations of SDM techqniues, the study found an increasing trend in their application in mountainous environments. Finally, this review aims to provide a valuable resource for forest managers, researchers, practitioners, and policymakers employed in forest conservation in mountainous environments around the globe.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100337"},"PeriodicalIF":1.2,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tabassum Naz Sindhu , Anum Shafiq , Showkat Ahmad Lone , Tahani A. Abushal
{"title":"The entropy-transformed Gompertz distribution: Distributional insights and cross-disciplinary utilizations","authors":"Tabassum Naz Sindhu , Anum Shafiq , Showkat Ahmad Lone , Tahani A. Abushal","doi":"10.1016/j.kjs.2024.100335","DOIUrl":"10.1016/j.kjs.2024.100335","url":null,"abstract":"<div><div>A novel two-parameter continuous model titled the entropy-transformed Gompertz (ETGPZ) distribution has been developed via the entropy transform. A new framework has been investigated and found to meet the criteria of the probability function. By significantly improving the functional shape and having the ability to model the most likely form of the hazard rate function, this new modification has increased the adaptability of the typical distribution. Some of its core characteristics, such as its statistical and computational features, are clearly presented. A thorough simulation analysis has been done to examine the final behavior of maximum likelihood estimators while estimating model parameters. We assess the performance and practical applicability of the ETGPZ distribution using eight real datasets from engineering and biomedical fields. The results demonstrate that the ETGPZ outperforms the baseline Gompertz (GPZ) distribution, highlighting its superiority and broader potential for various applications.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100335"},"PeriodicalIF":1.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of groundwater quality of Al-Shagaya area (Kuwait) for irrigation and industrial purposes using water quality index and GIS techniques","authors":"Fawzia Al-Ruwaih, Redha Mohammad, Shafiullah Mohideen","doi":"10.1016/j.kjs.2024.100334","DOIUrl":"10.1016/j.kjs.2024.100334","url":null,"abstract":"<div><div>Groundwater samples and pumping test data were analyzed from three selected fields (Fields B, C, and D) of the Dammam limestone aquifer (Al-Shagaya, Kuwait) to investigate their aquifer hydrogeological properties and reveal the main geochemical processes. The suitability for irrigation and industrial use was assessed by using water quality index (WQI) and determining the agricultural quality. The pumping tests revealed a confined to semi-confined aquifer, with transmissivity ranging between 4000 and 1.5x10<sup>6</sup> Igpd/ft, and a storage coefficient of 2 to 4x10<sup>−4</sup>. The aquifer salinity ranged from 2403 to 5672 mg/l with Na<sub>2</sub>SO<sub>4</sub> and CaSO<sub>4</sub> as the main chemical types. The values of WQI indicated that 18% of groundwater samples were of very good quality while 82% of the samples were of acceptable quality. This study has found that the groundwater of this area can be used for industrial and irrigation purposes.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100334"},"PeriodicalIF":1.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danish Wasim , Muhammad Suhail , Sajjad Ahmad Khan , Maha Shabbir , Fuad A. Awwad , Emad A.A. Ismail , Hijaz Ahmad , Amjad Ali
{"title":"Quantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data","authors":"Danish Wasim , Muhammad Suhail , Sajjad Ahmad Khan , Maha Shabbir , Fuad A. Awwad , Emad A.A. Ismail , Hijaz Ahmad , Amjad Ali","doi":"10.1016/j.kjs.2024.100336","DOIUrl":"10.1016/j.kjs.2024.100336","url":null,"abstract":"<div><div>The performance of ordinary least squares (OLS) and ridge regression (RR) are influenced when outliers are present in y-direction with multicollinearity among independent variables. The robust RR with ridge parameters provides a biased estimator that has a smaller variance than conventional OLS and RR estimators. The optimal value of the ridge parameter has a vital role in bias-variance tradeoff. This study proposes quantile-based estimation of ridge parameter in robust RR to deal with the joint issue of y-direction outliers and multicollinearity. The effectiveness of the proposed estimators is evaluated using intensive Monte Carlo simulation and two real data sets in terms of mean square error (MSE) and predictions sum of squared error (PSSE) criterion. Simulation findings reveal that the newly developed estimators of ridge parameter in robust RR have better performance than OLS, RR, and existing robust RR estimators when errors are normally and non-normally distributed. The results from two numerical examples of T20 Cricket sports and anthropometric data show that the new estimator with quantile probability 0.50 and 0.99 respectively has winning performance among all competing and proposed estimators.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100336"},"PeriodicalIF":1.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A framework for automatically generating composite keywords for geo-tagged street images","authors":"Abdullah Alfarrarjeh , Seon Ho Kim , Jungwon Yoon","doi":"10.1016/j.kjs.2024.100333","DOIUrl":"10.1016/j.kjs.2024.100333","url":null,"abstract":"<div><div>Due to the ubiquity of sensor-equipped cameras such as smartphones, images are associated with spatial metadata, including camera’s geographical location and viewing orientation, which can be used for automatically generating better semantic keywords about geo-tagged urban street images in addition to visual keywords extracted from image analysis. This study introduces a novel framework for auto-tagging images that integrates both spatial and visual properties to generate comprehensive and accurate tags. The framework operates through four phases: extraction, abstraction, composition, and assessment. Our research highlights the benefits of combining visual and spatial analyses, demonstrated through a case study using geo-tagged urban street images from Orlando, Pittsburgh, and Manhattan. Experimental results show that the proposed framework significantly enhances the accuracy of keyword-based searches compared to conventional methods. In particular, based on our experiments, image search using the tags generated by our proposed framework, referred to as descriptive tags, achieved an average precision improvement factor of 0.9 compared to conventional tags. Additionally, our proposed ranking algorithm, which extends the term frequency-inverse document frequency (TF-IDF) algorithm, resulted in improvement factors of 0.86 for mean average precision (MAP) and 0.57 for mean reciprocal rank (MRR). Moreover, our framework’s flexibility and robustness make it suitable for diverse applications, from smart cities to online shopping. The paper also includes a detailed evaluation and user study, confirming the precision and reliability of the generated tags.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100333"},"PeriodicalIF":1.2,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating the impact of biochar on methane gas emissions and its effect on enteric fermentation","authors":"Hana'a Burezq, Fatin Khalil","doi":"10.1016/j.kjs.2024.100332","DOIUrl":"10.1016/j.kjs.2024.100332","url":null,"abstract":"<div><div>This study aims to evaluate the impact of biochar on methane gas emissions and to investigate its effect on enteric fermentation. Methane gas emissions from Naeemi ewes’ ruminants were measured, with animals divided into two groups, each containing 14 ewes. The treatment group was fed a combination of biochar and a basal ration, while the control group received the basal ration alone. The results demonstrate that the initial gas emission for both animal groups at day 0 was 1082 ppm, and the inclusion of biochar in the diet significantly (<em>P</em><0.05) reduced CH<sub>4</sub> gas emissions by 65.58 % to 78.39%. Furthermore, feeding Naeemi sheep with biochar and the basal ration led to a significant (<em>P</em><0.05) increase in body weight (63.66 kg) and growth rate (length: 79.3 cm, waist: 81.75 cm, and height: 99.76 cm) compared to the control group. Additionally, it raised the average body condition score (BCS) to 3.56, in contrast to the control group's score of 2.83, primarily due to the positive impact of biochar on fat gain. The study revealed that biochar enhances nutrient utilization, improves feed efficiency, and significantly reduces methane gas emissions in livestock. When incorporated into the sheep's diet, biochar can modify digestive processes and promote better nutrient absorption.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100332"},"PeriodicalIF":1.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of sol-gel synthesized α-aluminium oxide nanoparticles for the enhancement of transformer oil insulation properties","authors":"Venkatesh Yepuri, Palikela Ramachandramurthy","doi":"10.1016/j.kjs.2024.100331","DOIUrl":"10.1016/j.kjs.2024.100331","url":null,"abstract":"<div><div>Transformers require advanced insulating materials that outperform mineral oil in terms of cooling, insulation effectiveness, eco-friendliness, and operational efficiency in extreme operational and weather conditions. As a result, emphasis has shifted to renewable and ecologically friendly materials. This change in emphasis is motivated by worries about the environment, fuel shortages, and the disposal of waste oil. Transformers have historically employed solid insulators like paper and pressboard as well as mineral or synthetic oil. However, the development of ecologically friendly insulating materials has been spurred by new environmental regulations as well as economic benefits. This research investigates the use of sol-gel synthesized aluminium oxide (Al<sub>2</sub>O<sub>3</sub>) nanoparticles to improve the insulation properties of host transformer oil. The synthesized aluminium nanoparticles were characterized with X-ray diffractometer (XRD) and found rhombohedral structure, whose chemical composition was studied by energy dispersive X-ray spectrum (EDAX). Investigation using Fourier transform infrared spectroscopy (FTIR) also revealed the production of AlOOH and hydroxyl vibrational bands at wavenumbers of 690 and 2976 cm<sup>-1</sup>, respectively. Studies using field emission scanning electron microscopy (FESEM) showed that the nanoparticles are spherical in form and have a diameter of around 38 nm. Additionally, the incorporation of α-aluminium oxide nanoparticles into the host oil showed an improvement in the breakdown voltage and suggested a possible use for better transformer oil insulation.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"52 1","pages":"Article 100331"},"PeriodicalIF":1.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}