bluuebunny/crossref_metadata_2025_split huggingface dataset:
APPLICATION OF GEOELECTRICAL METHOD TO STUDY GROUNDWATER POTENTIAL IN ISARA, REMO NORTH MUNICIPAL AREA OF OGUN STATE, NIGERIA.
Authors: Airen O. J. , Babaiwa D. A. 
Published: March 2023

Fifteen (15) Vertical Electrical Sounding (VES) and three (3) Constant Separation Traversing (CST) data were acquired within the study area using Pasi Terrameter (model 16GL). The Schlumberger electrode array was deployed for the VES while Wenner array was used for the 2-D CST. Both qualitative and quantitative approach were used for the VES measurements. The raw data were Curve-matched and inversion of the data using WinResist (1.0) to create a model of perfect fit indicating layer thickness and resistivity values for individual layers while the 2D resistivity data were processed using Res2Dinv software. The 2D resistivity structures revealed the lateral and the vertical variations of the subsurface information having resistivity values ranging from 81.8 to 5250 Ωm. The geoelectric sections revealed five to six geoelectric layers, which correspond to the topsoil, clayey sand, lateritic clayey sand and sand. The topsoil is characterized by resistivity values ranging from 29.8 to 358.5 Ωm and layer thickness of 0.6 to 0.8 m. The clayey sand had resistivity and layer thickness values ranging from 81.4 to 278.0 Ωm and 2.4 to 7.1 m respectively. The lateritic clayey sand had resistivity values ranging from 782.0 to 2414.1 Ωm. and layer thickness of 5.4 to 61.2 m. The sand in the third layer in VES 1 to 7, 9 and 10 has resistivity values ranging from 398.6 to 600.7 Ωm and layer thickness of 2.3 to 25 3 m is characterized as seasonal aquifer. The result of this study has further highlighted the capabilities of the electrical resistivity techniques in groundwater investigation
Design and Development of Multileg Locomotive Robot for Life Threaten Areas
Authors: Memon Noor Fatima 
Published: March 2023

The world of technology is the workbook of crises waiting to be solved, where robotics is the top-most essential technology, which is utilized for surveillance purposes to detect catastrophic events, such as detecting poisonous and explosive gases in mines, monitoring nuclear sites for contaminations and crops to determine the existence of biological threats, and inspecting buildings for gas leaks to protect human lives. The multi-legged robot has numerous capabilities, such as carrying heavy payloads, executing long-duration missions, and interacting with the environment. However, their bizarre mobility to reach everywhere in any complex territory makes them phenomenal. On the contrary, due to variation in its limb structure, the motion has several possibilities, which complicates its overall movement. For this reason, this research presents the precise locomotion of the multileg robot on any terrain. This work initially concentrates on the peculiar gaits planning, and later the kinematics analysis is carried out for the three jointed legs of a Multileg robot’s locomotion on bumpy grounds. Besides, an attempt has also been made to achieve forward kinematic analysis on the design for validation. Moreover, this paper also exhibits the model simulation through the simulation software to examine the theoretical and practical conclusive results. The motion simulation was implemented, and the results are satisfactory.
Design Of Lamella Separator For Enhanced Pollution Removal From NED University Wastewater
Authors: ullah Samee 
Published: March 2023

The wastewater treatment process incorporates various settlers in the treatment train such as primary, secondary, or tertiary. The conventional settlers used are not adequate to remove suspended solids and create hindrances in the operation of further treatment processes. Therefore, to effectively remove suspended solids lamella clarifier was used in combination with the existing primary settler at the NED wastewater treatment plant. The water quality parameters analyzed include TSS (mg/l), BOD5 (mg/l), and COD (mg/l) in phase 1 before lamella clarifier installation and phase 2 after lamella clarifier installation. Satisfactory results for TSS removal were achieved before and after lamella clarifier i.e., 227-277mg/l to 87-163 mg/l. Similarly, BOD 5 was reduced from 49-277mg/l up to 35-163mg/l. Also, the COD was reduced from 229-277mg/l and was reduced up to 156-163mg/l. Therefore, the lamella clarifier installed at the NED wastewater treatment plant seems to be an effective technology to remove suspended solids along with COD and BOD removal. Therefore, the lamella clarifier installed at the NED wastewater treatment plant seems to be an effective technology to remove suspended solids along with the COD and BOD removal.
Energy Aware Drone Enabled Base Stations Deployment in Flying Adhoc Networks
Authors: Majeed Saqib 
Published: March 2023

The demand for Wireless Networks has increased rapidly for downloading and uploading all types of data, which is due to the inefficiency and high cost of infrastructure based cellular Networks. Unmanned Aerial Vehicle (UAVs) is the reliable solution for improving efficiency, latency redundancy, business, and troubleshooting problems on a high scale. Although, the deployment of UAVs to meet user demand in any environment or region is quite thought-provoking. This deployment not merely provides the only the coverage area, but also provides the capacity balancing and accommodation of extremely populated areas. In this research, the suggested solutions show significant achievements in terms of energy proficiency related to the fixed and dynamic drone base station system. We propose FSO (free space optical) communication system and evaluate three feasible algorithms for separate dynamic repositioning of drone base stations in terms of communicational energy. In MATLAB, the simulation result shows 20 percent of communicational energy consumption improvement can be obtained deprived of adversely affecting any other factor of the drone.
MiniPI: Minimizing Power Imbalance among Stakeholders for Quality
Software Product
Authors: Khan Saad Mujahid 
Published: March 2023

The role of requirements elicitation is crucial in the software requirement engineering process as the requirement engineer has to extract the accurate requirements from different stakeholders. However, the problem emerges when the requirement team could not prioritize the extracted requirements because the requirement’s nature may vary as different categories of stakeholders have their own perspectives. This ultimately produces a power imbalance among stakeholders. Therefore, minimizing the power imbalance of software requirements among different categories of stakeholders is fundamentally important for a quality software product. Although many contributions have been made to this subject in the past, there is still a research gap available for minimizing the power imbalance among stakeholders. In this paper, we present a novel approach for minimizing the effects of power imbalance by age-sampling among different categories of stakeholders into three groups and then by age-mapping the requirements. After gathering questionnaires from stakeholders, the concerned parties determine the attributes of the Kano model through the filled Kano’s questionnaires and afterward, the satisfaction index is calculated by taking the values of the relevant age group into account, which eventually minimizes the power imbalance among stakeholders. In order
to verify our methodology, we have performed quantitative analysis by calculating index values and applied verified Kano’s satisfaction formula to calculate the overall satisfaction index which improves the quality level of a software product.
Analysing the Impact of Autonomous Maintenance on the Packaging Line of a Pharmaceutical Industry
Authors: Memon Abdul Moiz 
Published: March 2023

To meet the market’s challenges, industries are today confronted with a difficult situation, particularly maintaining product quality at competitive costs. Such a condition necessitates an increase in productivity with decreased ex-penses. Autonomous Maintenance (AM) facilitates this for industries. This project intends to integrate Autonomous Maintenance (AM) in a pharmaceutical manufacturing line, with a focus on the needs of a developing-country business. The focus of the research has been on operator training as the primary component of autonomous maintenance. It tries to instill a sense of responsibility for machine maintenance among machine workers. This allows the maintenance staff to focus on other essential responsibilities. The analysis of recurring losses and their resolution established the basis for the implementation of AM. The required for Scheduled Maintenance was lowered by 2.61 hours per week. Since the deployment of AM, the OEE has been on the rise and is approaching the world-class level of 80%. AM has cut unscheduled downtime by more than 100 percent and prevented additional changeover delays. As a result of a 6% improvement in total uptime, typical shift times have been lowered, bringing significant benefits to both the firm and its personnel. The report proposes that stakeholders continuously seek chances for development and expand the scope of additive manufacturing by incorporating activities known to affect the production efficiency of manufacturing lines.
Assessing Impact on Operational Performance with Green Information System and Mediation of Green Innovation
Authors: Haider Yaseen 
Published: March 2023

Using green production methods is the need of the situation and the only solution to the issue of sustainability. With this, the optimization of resources is the major concern contributing to maximum output. In the context of Pakistan’s manufacturing business, this study presents significant literature on green information systems (GIS), green innovation performance (GIP), and operational performance (OP). This study explores the connection between OP and GIS as well as the mediating role of GIP. The partial least square-structural equation modeling (PLS-SEM) method has been opted for in this paper. About 180 usable responses were examined for the study. The structural model reveals about 60% variance in OP and 40% in GIP stating the predictive validity. The findings of the study reveal that GIS has a significant impact on OP and GIP. GIP has a direct influence on OP and a mediating role between GIS and OP highlighting the importance of greening, and its positive effect on OP. proposed for further investigation and the development of prototype design.
To Explore the Effect of Modified Seashell on the Thermo-Mechanical Properties of Polymer Matrix Composite
Authors: Bhutto Ikhlaque Ahmed 
Published: March 2023

This research paper proposes a sustainable and feasible technique to utilize seashell waste. The utilization of seashells offers economic and environmental benefits because of their abundant, renewable, and cheap source of calcium carbonate. The technique will reduce the hazards of seashell waste generated to the environment and landfilling that cause risk to water sources and public health. Moreover, the synthesized bio − CaCO3 will reduce the end-product cost of the polymer. The successful synthesis of bio-calcium carbonate powder (bio − CaCO3) was carried out using a calcinations technique up to 800°C from seashells. The high density polyethylene (HDPE) composite samples were prepared via the industrially preferred melt route by varying the shell powder content by 10% and 20% by weight. The composite was subjected to Thermal Gravimetric Analysis (TGA), Differential Scanning Calorimetric (DSC), and mechanical analysis. TGA confirmed the thermal behavior of synthesized bio − CaCO3. The thermal degradation temperature of bio − CaCO3 and virgin HDPE were distinctly observed at 734 °C and 443 °C, respectively, in composite samples. The thermal stability was increased by more than 37 °C in the composite sample at 20% bio − CaCO3 loadings. The percent crystallinity also increased by 14% for higher bio − CaCO3 loadings when compared to virgin HDPE. DSC analysis showed no significant changes in melting points and was not affected by the addition of bio − CaCO3 and remained at about 134 °C in virgin and composite samples. This observation is attributed to the similar crystal structures in all samples. The HDPE composite sample showed higher tensilestrength, about 25%, than virgin HDPE. In addition, HDPE10 and HDPE20 composite samples showed lowerelongation at break when compared to virgin HDPE in accordance with the literature.
Mathematical Modeling and Simulation of AC-AC Three Phase Matrix Converter with LC Filter driving Static Resistive Load
Authors: Soomro Abdul Hameed 
Published: March 2023

During the last two decades, it has been seen that power conversion from one form to another form of energy was a serious issue in power electronics. After the production of power converters such as rectifiers that convert AC-DC, inverters that convert DC-AC, voltage regulators, choppers, and cycloconverters make possible power conversion. In 1980, Venturini presented the concept of the Matrix Converter in power electronics; it consists of bidirectional IGBT switches and can conduct current and block reverse and forward voltage. Nowadays matrix converter is frequently utilized for power conversion because it can convert AC-AC, AC-DC, DC-DC, and DC- AC directly without an energy storage device which results in less complexity and cost. In matrix converters, high switching frequency harmonics are produced due to the switching of converters and need to be minimized. In this paper, an LC filter is employed to mitigate the problem of harmonics at the output of the three-phase matrix converter. A three-phase matrix converter with an LC filter is presented in this paper and the SVM technique is used for the generation of pulses. Simulation results are carried out through MATLAB software.
Ensemble Machine Learning Approach for Stress Detection in Social Media Texts
Authors: Illahi Maleeha 
Published: March 2023

Stress is an almost basic human instinct, especially in the internet age. People’s health is being endangered by
psychological stress. It is critical to diagnose stress early on to provide proactive therapy. In the age of the Internet, social media has an enormous impact on human thinking. It can cause mental health issues such as stress but can also play an important part in detecting it. Advancements in machine learning and natural language processing have enabled information extraction from a huge amount of raw textual data. In this study machine learning approach is used to detect stress in a social media text. Data used in this study is from Reddit. Classical and Ensemble machine learning approaches were used for stress detection. Classical Techniques include Decision Tree, Logistic Regression, support vector machine, Random Forest, and Na ̈ıve Bayes. Ensemble approaches used are boosting, bagging, and voting. The ensemble approach was able to provide better results than all machine learning baselines on the dataset. Also, it was able to outperform all non-transformed-based neural network architectures discussed in the baseline. The best-performing model in this study is Logistic regression with a 76.6% F1 Score.
Sulfate Resistance and Alkali-Silica Reaction of Recycled Aggregate Concrete
Authors: Dahri Shakeel Ahmed 
Published: March 2023

In this research article laboratory investigations of sulfate resistance and alkali-silica reaction of recycled aggregate concrete are presented. A total of eighteen prisms of 25mm x 25mm x 286mm were prepared using a 1:3 (cement: fine aggregates) mix and 0.4 water to binder ratio. The specimens were prepared in three batches using recycled aggregates, conventional aggregates, and sand. An equal number of samples was used to evaluate sulfate resistance and alkali-silica reaction. The change in length of specimens was measured in a standard way from 1- to 28 days. The results at 14- and 28-days show that the percentile change in length of all specimens is less than the specified limit of concerned standards. The length change recorded at 14 days (in accordance with ASTM C1260 recommendations) of recycled aggregates is 342% (for alkali-silica reaction) and 57% (for sulfate resistance) better than conventional aggregates and sand. Therefore, the performance of recycled aggregates is concluded better compared to conventional aggregates and sand for both alkali-silica reactivity and sulfate resistance.
The Rate Of Malaria Parasites Co –infection Salamoella TyphO And Para- Typhi BO In Khartoum State
Authors: , E .E MOHANAD , , Y. L, Jamal , M.Hassan Nazik , .B,S Abdelsalam 
Published: March 2023

Background: .
Malaria is serious vector –borne tropical diseases that remains one of the primary reasons for death in several countries . Malaria and typhoid co-infection is a major public health problem in many developing countries. Most of the co-infections treated are based on methods of diagnosis plagued with assumptions which possibly exaggerate the situation. Objective: This the aim of this work was to investigate the rate of co-infection with respect to the use of direct Widal test for diagnosing typhoid fever in Khartoum state .
Method: This was based descriptive cross-sectional malaria of Plasmodium falaciprum and Salamoella . A total of 100 blood samples were collected from patients with a clinical of malaria positive and examined for malaria parasites and S. typhi infection.
Results: This study was conducted in Khartoum State between 2020 to 2021 in individual form different age groups form both male and female, out of 100 samples were positive for malaria parasites(Plasmodium falciprum) by blood films (100%) and immunochormatogrphy test 80(80%) , 52(52%) of which were positive for salmonella typhiO and 18(18%) salmonella para- typhi BO by the direct Widal test.
STRATEGI PENGEMBANGAN USAHA INDUSTRI KECIL GANTRA BETTA FISH TULUNGAGUNG DALAM PERSPEKTIF SWOT DAN BMC
Authors: Abdul Hafiz Ihza Mahendra  , Asmawi  
Published: March 2023

Potensi sektor perikanan di Indonesia terbilang sangat besar, apalagi di wilayah Tulungagung yang sudah memiliki produk unggulan ikan hias. Budidaya ikan hias termasuk usaha yang bisa masuk ke semua kalangan masyarakat, karena budidaya ikan hias tidak memerlukan lahan yang luas, dan biaya yang dikeluarkan juga terbilang terjangkau. Salah satunya usaha industri kecil Gantra Betta Fish Tulungagung. Menjamurnya pedagang maupun pembudidaya ikan hias di Tulungagung membuat Gantra Betta Fish Tulungagung harus memiliki strategi untuk mengembangkan usaha. Untuk mengetahui strategi apa yang tepat dilakukan, dalam penelitian ini mengkaji tentang formulasi strategi pengembangan usaha industri kecil melalui SWOT dan BMC. Untuk mengembangkan usaha Gantra Betta Fish Tulungagung perlu memperbaiki strategi usaha dengan tujuan meningkatkan penjualan dan pendapatan. Upaya peningkatan strategi usaha dilakukan dengan menganalisis sembilan elemen kunci Bisnis Model Canvas dan dianalisis mendalam menggunakan analisis SWOT untuk uji kekuatan (Strength), kelemahan (Weakness), ancaman (Threats ) dan kesempatan (Opportunity). Penelitian ini merupakan penelitian kualitatif yang berbentuk studi kasus. Model analisa data menggunakan model analisis spradley dengan tahapan analisis domain, analisis taksonomi, analisis kompensial dan analisis tema.
PENGARUH KEPEMIMPINAN, KOMPENSASI DAN LINGKUNGAN KERJA TERHADAP DISIPLIN KERJA KARYAWAN DI SWALAYAN DEWI SRI MAGETAN
Authors: Sri Hartono  
Published: March 2023

The study aims to determine the effect of leadership, compensation and work environment on employee work discipline in the Dewi Sri Magetan supermarket. This type of research is a survey. Research subjects were 54 self-service employees. This data was collected by questionnaire and analized using multiple linear regression analysis. The result of the study show that : 1) leadership has a positive effect on employee work discipline with value tcount 3,645 > ttable 2,009with a significant 0,001. 2) compensation has a significant positive effect on employee work discipline with a tcount of 3,123 > ttable 2,009 with a significant of 0,003. 3) the work environment has a significant positive effect on employee work discipline with a value of tcaount of 3,547 > ttable 2,009 with a significant of 0,001. 4) Leadership, compensation, and work environment simultaneously effect employee work discipline with a fcount 12,668 > ftabel 2,56 with a significant 0,000. The contribution of leadership, compensation and work environment influence positively to employee work discipline by 48,1%. The regression equation obtained is Y= (-6,394) + 0,591 X1 + 0,431 X2 + 0,314 X3 + e.
PENGARUH UKURAN PERUSAHAAN, LEVERAGE, DAN PROFITABILITAS TERHADAP TAX AVOIDANCE
Authors: Dwi Urip Wardoyo  , Adliana Dwi Ramadhanti  , Dewi Ummu Annisa  
Published: March 2023

Tujuan penelitian ini adalah untuk mengetahui pengaruh ukuran perusahaan, leverage, dan profitabilitas terhadap tax avoidance pada perusahaan sub sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia perioder 2017 – 2020. Variabel X yang digunakan dalam penelitian ini adalah ukuran perusahaan, leverage, dan profitabilitas. Variabel Y yang digunakan adalah tax avoidance. Sampel dalam penelitian ini ditentukan dengan menggunakan teknik purposive sampling sehingga terdapat sebanyak 48 sampel dari perusahaan yang terdaftar di Bursa Efek Indonesia periode 2017 – 2020. Metode penelitian yang digunakan adalah deskriptif. Teknik analisis yang digunakan dalam penelitian ini adalah analisis regresi berganda dengan menggunakan aplikasi SPSS. Hasil penelitian ini menunjukkan bahwa leverage berpengaruh terhadap tax avoidance, sedangkan ukuran perusahaan dan profitabilitas tidak berpengaruh terhadap tax avoidance.
PENGARUH KINERJA KEUANGAN, NILAI PERUSAHAAN, DAN UKURAN PERUSAHAAN TERHADAP KOMPENSASI EKSEKUTIF
Authors: Dwi Urip Wardoyo  , Andini Damayanti  , Syifa Denali Kairinnisa  
Published: March 2023

Tujuan penelitian ini adalah untuk mengetahui pengaruh kinerja keuangan, nilai perusahaan, dan ukuran perusahaan terhadap kompensasi eksekutif pada perusahaan sub sektor perkebunan yang terdaftar di Bursa Efek Indonesia periode 2018 - 2020. Kinerja keuangan diukur menggunakan Return on Equity (ROE). Nilai perusahaan diukur menggunakan Market to Book Value Ratio (MBV). Ukuran perusahaan diukur menggunakan Logaritma Natural (Ln) Total Aset. Kompensasi Eksekutif diukur menggunakan Logaritma Natural (Ln) Kompensasi Eksekutif. Metode penelitian yang digunakan adalah deskriptif dengan menggunakan pendekatan studi kausal dan Analisis data menggunakan analisis regresi berganda menggunakan SPSS versi 25. Teknik sampling yang digunakan yaitu purposive sampling. Sampel penelitian sebanyak 14 perusahaan yang terdaftar di Bursa Efek Indonesia periode 2018 - 2020.