bluuebunny/crossref_metadata_2025 huggingface dataset:
Surgical Management of Sertoli Cell Tumour in Dogs: Report of two Cases
Authors: Padaliya Nilesh R. , Vadalia Jignesh V. , Talekar Shivaji H. , Bhatt Raghuvir H. , Bhadaniya Amit. R. , Kalaria Vinay A.
Published: March 2023

Two non-descript male dogs were presented with history of sizable swelling in inguinal region which was gradually increased within a period of three months. Clinical examinations revealed difficulty to walk and presence of fluctuating, painful, hard mass in the scrotum. Under general anaesthesia using ketamine-diazepam induction and isoflurane maintenance, the mass was resected after giving direct incision over it and transfixing the vasculatures followed by routine wound closure. Postoperatively, antibiotic and analgesic drugs were given along with local dressing for five days. Both animals recovered uneventfully without any post-operative complications. Histopathological investigation confirmed presence of sertoli cell tumour in both cases.
Diagnosis and Clinico-Surgical Management of Secondary Laminitis due to Ovarian Tumour in a Kathiawari Mare
Authors: Padaliya Nilesh. R. , Vadalia Jignesh V , Dodia Vaibhav V , Ravel Rupesh J , Fefar Dhaval T , Talekar Shivaji H
Published: March 2023

Granulosa cell tumours (GCTs) are the most common ovarian tumours in equine which involves around 2.5% of all tumours of horses and 85% of reproductive tract tumours (McCue et al. 2006). Tumours may originate from tissue present within the equine ovary. GCTs are most often first detected during either routine reproductive examination for breeding or when behavioral changes caused by the presence of the tumour in ovary requiring further investigation (McKinnon and Barker, 2010). Mares with GCTs remain infertile due to atrophy of the contralateral ovary, which has been variably associated with elevated serum inhibin, testosterone or anti-Mullerian hormone concentrations (Ball et al., 2012). Surgical removal is regarded as the treatment of choice for GCTs (McCue et al., 2006). Surgical removal of the affected ovary almost always results in the resumption of normal heat cycles and the ability to carry a normal pregnancy. Lameness in mare which suffered from GCT was also reported earlier by Meagher et al. (1977). Various scientists reported different technique for removal of affected ovary. Standing laparoscopic ovariectomy is associated with a lower complication rate than other surgical methods like colpotomy (Colbern and Reagan 1987), flank, paramedian or ventral midline celiotomy (Lee and Hendrickson, 2008; Azizi et al., 2014). Most of GCTs are benign and affect the left ovary (McCue et al. 2006; Korany et al., 2020). The present document reports clinical diagnosis and surgical management of secondary laminitis due to ovarian tumour in a Kathiawari mare by left flank ovariectomy of the affected ovary.
Locking Reconstruction Plate for the Management of Diaphyseal Femoral Fracture in a Dog
Authors: V Vijay Kumar , M Shiju Simon , H Pushkin Raj , R Mahesh , S Ayappan
Published: March 2023

Fracture of the long bone is a commonly encountered orthopaedic problem in canine practice (Aithal et al.,1999). Femur fractures are one of the most common orthopaedic affections encountered in dogs comprising 35 %  of hind limb fractures and 24 %of all fractures in dogs (Johnson et al., 1998). Proximal and distal epiphyseal fractures happen in young animals, whereas diaphyseal and metaphyseal fractures are more frequent in older animals(Guiot et al., 2012, Abd El Raouf, 2017). They are difficult to repair due to the fact that such dogs are recumbent and need early rehabilitation to establish speedy recovery. The closeness of the abdominal wall to the proximal femur and surrounding heavy muscles limits the use of coaptation and external skeletal fixation for femoral fractures.
Design and Development of Internet Voting System
Authors: Prof. Renuka Bhorkarkar Vaidya  , Ayush Jaiswal  , Gautam Kumar  , Anil Gaikwad  , Ashwini Borse
Published: March 2023

The explosion in the use of information technology and the widespread use of the Internet makes information and communication technologies to get their inevitable benefits. Some of these benefits are accuracy, speed, cost saving, etc. Election and voting are one of the cases which have recently tended to be performed electronically. Web services, due to their PROS, may have a key role in usage and deployment of e-voting systems. The voting system is the backbone of every democracy and organization. The voting system has experienced many efficient changes in the past few decades. There are various voting techniques used such as Paper Ballot Voting System, E-Voting System also known as Electronic Voting System, Internet Voting System. In this paper, we have put some trends of various voting systems and their scopes. The primary goal of this research is to make the voting system multipurpose and make it work multiplatform on any system.
Expense Management System Using OCR
Authors: Aniket Pawar  , Vaibhav Nikam  , Yogesh Markad  , Chirag Pandkar  , Prof. Shashikant Bong
Published: March 2023

We present an intelligent expense tracker to efficiently manage the monthly expenses. Our system will help everyone who are planning to know their expenses and save from it. The user will be given the facility to set a monthly limit and if the user crosses that limit our app will notify the user about the same. The user can give receipts as an input, using our Androidapp. will sort it into different categories. Here user can also define their own categories like food, clothing, rent and bills and the user can also set limits for a particular category. User will be provided with visual statistics of expenses by transaction date or by category. This project is not indentedfor a particular user or age group but anyone and everyone who wants to track their expense can use this app. So, the general idea of this Project is to help people view and study their overall expenditure pattern by developing a mobile application to analyse all the purchases made by the user by simply scanning the receipts.
Smart Surveillance System for Illegal Garbage Dumping
Authors: Mr. S. Y. Inamdar  , Priti More  , Mayuri Chavan  , Aishwarya Pawar  , Snehal Patil  , Uday Raje
Published: March 2023

Effective garbage management is a key challenge faced by urban areas across the world Garbage dumping in unauthorized places is a common problem in most cities, and it poses a serious threat to public health and the environment. To address this issue, we propose a real-world surveillance platform that detects and reports instances of garbage dumping in unauthorized areas using vision-based action recognition techniques. Our approach involves training a deep neural network on a dataset of garbage dumping actions to recognize and classify instances of this behaviour in real-time video footage. The system operates in three stages detection, tracking, and classification. In the detection phase, we use object detection techniques to locate potential dumping events in video frames. In the tracking phase, we track the detected object across subsequent frames to obtain a trajectory that helps in understanding the context of the action. In the classification phase, we classify the action as garbage dumping or non-dumping using a convolutional neural network. Our system achieves an accuracy of 96.2% on a test dataset, demonstrating its effectiveness in detecting garbage dumping events in real-world surveillance scenarios. The proposed system can be integrated into existing surveillance infrastructure to improve the efficiency of garbage management systems and enhance public health and environmental protection.
Study of erosion processes on agricultural lands of the Prokhladnensky municipal district of the Kabardino-Balkarian Republic
Authors:   Kabardino-Balkarian SAU, Eziev Murat , Shekikhacheva Lyudmila
Published: March 2023

Approaches to the study of erosion processes on agricultural lands are presented, taking into account regional characteristics. The proposed approaches were developed on the basis of the results of many years of research conducted on specific objects with certain natural and anthropogenic conditions. In addition, these approaches have been implemented on certain territorial objects of the Kabardino-Balkarian Republic with a detailed study of natural and anthropogenic conditions. The identified trends provide an opportunity to assess the sustainability of land use and the efficiency of agricultural land use. Keywords: SOIL, LAND USE, INTENSIFICATION, POTENTIAL, EVALUATION, EROSION, PROTECTION, SUSTAINABILITY, EFFICIENCY
Implementasi Algoritma Convolutional Neural Network Untuk Identifikasi Jenis Kelamin Dan Ras
Authors: Putra Notasonda Soni , Hutabarat Benedika Ferdian , Khaira Ulfa
Published: March 2023

Citra pada wajah manusia memiliki banyak informasi yang bisa didapatkan, diantaranya yaitu informasi mengenai jenis kelamin, usia, ras, dan juga ekspresi. Untuk mendapatkan informasi tersebut maka diperlukan proses identifikasi citra pada wajah manusia dengan menggunakan teknologi deep learning. Salah satu algoritma yang terdapat dalam teknologi deep learning adalah algoritma Convolutional Neural Network. Pada penelitian ini dataset yang digunakan terdiri dari UTKFace dataset, CelebA dataset, Racial Faces in-the-Wild (RFW) dataset, Fairface dataset, dan Chicago Face (CFD) dataset. Pengujian dilakukan dengan jumlah data citra pada data jenis kelamin sebanyak 36.000 citra dan 27.000 citra untuk data ras dengan menggunakan dua skenario, yaitu dengan menggunakan batch_size sebesar 15 dan 30, serta dengan menggunakan jumlah epoch sebanyak 10 dan 50. Dari hasil pengujian didapatkan nilai akurasi rata-rata tertinggi untuk ras berada di batch 30 dan epoch 50 dengan nilai akurasi rata-rata sebesar 82% dan berdasarkan hasil pengujian dengan data jenis kelamin didapatkan nilai akurasi tertinggi berada di batch 15 dengan epoch 50 sebesar 94%.
Wave Interference dan Perbandingan QOS Pada WLAN Hotel Menggunakan Metode Action Research
Authors: Subektiningsih Subektiningsih , Candra Dimas Rizky Eka , Ferdiansyah Pramudhita
Published: March 2023

Hotel T, Bali menggunakan WLAN dengan tujuh access point untuk memenuhi kebutuhan operasional. Ketersediaan bandwidth yang tinggi diperlukan untuk memenuhi akses oleh staff hotel maupun customer. Berdasarkan hasil diagnosis kecepatan rata-rata unduh 2.27 Mbps, kecepatan rata-rata unggah 1.87 Mbps dengan hasil pengukuran quality of service parameter jitter dan packet loss berada pada kategori buruk dan sedang, namun terdapat satu access point yang kondisi jitter dalam kategori bagus. Karena perbedaan yang signifikan ini dilakukan pengecekan interferensi dalam jaringan. Hasilnya, channel pada access point overlapping sehingga menimbulkan wave interference. Tahap action planning dan action taking dilakukan untuk meminimalisir interferensi pada WLAN Hotel T. Perbaikan channel dilakukan dengan mengubah frekuensi pada setiap access point. Hal tersebut menjadikan setiap access point mempunyai pengaturan frekuensi yang berbeda-beda. Kecepatan akses unduh, unggah dan pengecekan status host melalui ping mengalami perubahan signifikan, yaitu menjadi lebih baik. Hasil evaluasi menyatakan bahwa interferensi dapat mempengaruhi nilai jitter. Hal ini ditunjukkan dengan meningkatnya rata-rata kualitas layanan pada jitter dari kategori Buruk menjadi Bagus. Peningkatan yang signifikan terjadi pada packet loss yang berada pada kategori Sangat bagus, artinya kegagalan paket saat pengiriman sangat kecil, antara 0 hingga 1,3%. Dalam hal ini terjadinya wave interference dapat mempengaruhi quality of service dalam jaringan.
Analisis Data Mining Sistem Inventory Menggunakan Algoritma Apriori
Authors: Fitriah  , Imam Riadi  , Herman
Published: March 2023

Dalam manajemen rantai persedian barang (supply chain management) diperlukan kebijakan persediaan barang yang maksimal agar ketersedian barang tetap tersedia dan tidak terlambat dalam restock barang. Hal ini dibutuhkan manajemen persedian barang untuk menentukan cara yang tepat dan mempermudah dalam pengendalian persedian barang tersebut. Salah satu cara yang dilakukan adalah dengan menerapkan teknik yang terdapat pada cabang ilmu Data Mining yaitu teknik aturan asosiasi (Association Rule). Tujuan penelitian ini adalah menganalisis informasi transaksi penjualan barang untuk menghasilkan association rules dari pola kombinasi itemsets yang sesuai agar membantu pemilik dalam melakukan peletakan dan persedian barang. Langkah terpenting aturan asosiasi adalah mengetahui seberapa sering kombinasi item yang disebut frequent pattern, muncul dalam database. Objek penelitian ini adalah data transaksi penjualan barang pakaian. Berdasarkan hasil pengujian menggunakan Ms. Excel dan RapidMiner diperoleh hasil dari association rules dengan minimum support 0,2% dan confidence sesuai dengan kriteria pengujian yang telah ditentukan bahwa hasil yang memenuhi nilai support minimum dan confidence 0,8% ditemukan 7 aturan asosiasi. Dari pengurutan nilai support tertinggi yaitu STX dan LK dengan nilai support 10% dengan nilai confidence 88% dan nilai Association rules Final 8,8%. Hal ini menunjukkan bahwa produk STX dan LK merupakan produk yang paling sering dibeli secara bersamaan.
Animasi 3D Alur Proses Pembuatan Sabun Transparan Dari Minyak Kelapa Sawit Menggunakan Metode Multimedia Development Life Cycle
Authors: Nofiar Andri , Nasari Fina , Pribadi Antoni
Published: March 2023

Animasi merupakan gambar yang bergerak dan memiliki cerita dalam bentuk 2D atau 3D. Animasi 2D menghasilkan video 2 Dimensi, sedangkan animasi 3D mampu menghasilkan vedio dari gambar 3D, sehingga sangat cocok digunakan sebagai media promosi kepada masyarakat dalam penyebaran informasi. Saat ini banyak bermunculan industri rumah tangga yang membuat sabun secara mandiri. Oleh karena itu pembuatan sabun menjadi salah satu matakuliah pada program studi Teknik Pengolahan Kelapa Sawit(TPS).  Pemanfaatan animasi dalam simulasi pembuatan sabun, menjadi salah satu solusi media informasi dan pembelajaran bagi masyarakat khususnya mahasiswa TPS dalam pemanfaatan minyak kelapa sawit untuk pembuatan sabun. Metode Multimedia Development Life Cycle (MDLC) yang terdiri dari concept, design, material collecting, assembly, testing, distribution biasanya digunakan dalam pembuatan Animasi. Pembuatan animasi menggunakan perangkat lunak Blender versi 2.80 dan Adobe Premiere CC 2017. Tujuan penelitian ini adalah menghasilkan animasi 3D pembuatan Sabun. Hasil penelitian berupa Animasi 3D proses pembuatan sabun yang telah dipublis melalui media penyebaran informasi youtube. Hasil respon pengguna 92.40% menyatakan animasi mudah dimengerti, 93.20% menyatakan penggunaan bahasa mudah difahami, 87.14% menyatakan kualitas animasi sangat interaktif, berdasarkan respon pengguna hasil animasi sangat membantu  dalam pembuatan sabun secara mandiri.
Perbandingan Metode Klasifikasi SOM Dan LVQ Pada Data Bunga Iris Dengan Parameter Dimodifikasi
Authors: Arifin Oki , Rofianto Dani
Published: March 2023

Klasifikasi mempunyai dua tugas utama yaitu membuat model sebagai prototype dan menggunakan model untuk mengklasifikasi atau memprediksi pada objek data lain. Metode klasifikasi yang banyak digunakan diantaranya adalah Self Organizing Maps (SOM) dan Learning Vector Quantization (LVQ). Penelitian ini bertujuan untuk membandingkan performa algoritma SOM dan LVQ dalam klasifikasi data bunga iris. Skema yang digunakan dalam penelitian ini adalah memodifikasi parameter dalam beberapa percobaan. Berdasarkan hasil percobaan yang telah dilakukan, nilai α dan β sangat mempengaruhi hasil klasifikasi. Algoritma SOM memiliki akurasi terbaik ketika α=0.01 dan β=0.01 dengan akurasi 97.77%, sedangkan algoritma LVQ akurasi maksimal diperoleh ketika nilai α=0.1 dan β=0.05 dengan akurasi 88.88%. Selanjutnya dalam penelitian ini diketahui bahwa banyaknya iterasi yang digunakan berpengaruh terhadap hasil klasifikasi pada kedua algoritma. Akan tetapi waktu proses (running time) pada SOM tidak begitu berpengaruh ketika dilakukan perubahan jumlah iterasi. Berbeda dengan LVQ dimana banyaknya iterasi yang digunakan sangat mempengaruhi waktu eksekusi program. Semakin banyak iterasi, semakin lama juga waktu eksekusi program yang dijalankan.
Kombinasi Case-Based Reasoning dan Rule-Based Reasoning Pada Sistem Pakar Deteksi Awal Covid-19
Authors: Maukar  , Sutanty Ety , Astuti Dina Kusuma
Published: March 2023

Deteksi terhadap Covid-19 merupakan tahapan penting dalam mengenali secara dini pasien terduga Covid-19 sehingga dapat dilakukan langkah preventif. Gejala umum yang ditimbulkan penyakit Covid-19 memiliki gejala yang hampir sama dengan beberapa penyakit lainnya. Penelitian ini membentuk Sistem Pakar untuk deteksi awal Covid-19 dengan mengkombinasikan metode Case Based Reasoning dan Rule Based Reasoning dalam bentuk Website. Website Sistem Pakar pada penelitian ini akan menghitung kemungkinan user yang mengalami Covid-19 berdasarkan nilai atau bobot dari gejala yang dipilih user dengan mencari kesamaan dari gejala yang telah dialami pasien Covid-19 sebelumnya. Gejala Covid-19 yang digunakan dalam penelitian ini didapat dari dataset Kemunculan Gejala Covid-19 bersumber dari Kaggle Dataset. Masukan berupa gejala pasien yang telah terjadi sebelumnya digunakan dalam membentuk aturan yang telah diberikan bobot melalui proses wawancara seorang pakar. Penelitian ini menggunakan 14 variabel gejala  dengan metode hybrid case based dimana kesamaan gejala akan dihitung menggunakan cosine similarity. Hasil Penelitian diharapkan dapat membantu masyarakat dalam melakukan diagnosis mandiri dan tim medis untuk melakukan diagnosis awal kepada pasien sebagai langkah awal penanganan Covid-19.
Perencanaan Strategis Penerapan Teknologi Informasi Menggunakan Metode Analisis SWOT Proses Bisnis Unit IT
Authors: Muhamad Fahrul Rozi  , Mailia Putri Utami
Published: March 2023

PT. Menara Cipta Metalindo merupakan perusahaan yang bergerak dibidang Industri Manufaktur. Pada PT. Menara Cipta Metalindo memiliki unit organisasi bagian IT yang bertugas mengembangkan dan memanfaatkan teknologi informasi dan sistem informasi untuk memberikan solusi dalam mendukung proses bisnis dan meningkatkan efisiensi pada perusahaan. Perencaan statgis pada perusahaan memerlukan perencanaan yang matang, agar dapat meningkatkan proses bisnis perusahaan semaksimal mungkin. Pada penelitian ini memiliki tujuan yaitu menganalisa perancangan strategis penerapan teknologi informasi yang sesuai dengan perencanaan strategis perusahaan dengan menggunakan metode SWOT khususnya pada perencanaan unit organisasi TI. Metode yang digunakan yaitu dengan menggunakan metode analis SWOT untuk mengembangkan dan mendukung proses bisnis pada perusaan PT. Menara Cipta Metalindo. Temuan dari penelitian ini yaitu hasil analis SWOT dapat menunjukan matriks SWOT perbedaan pada kuadran I (WO Quadrant), dimana PT. Menara Cipta Metalindo memiliki peluang pasar yang cakupannya luas, sehingga perlu adanya pemanfaatan secara menyeruluh agar peluang tersebut dapat menjadi kelebihan yang dapat dimanfaatkan secara maksimal.
THE DYNAMIC RELATIONSHIP BETWEEN STOCK MARKET DEVELOPMENT AND INCLUSIVE GROWTH IN A RETROSPECTIVELY-TENDED-ECONOMY
Authors: Bernhard O. ISHIORO, Ph.D
Published: March 2023

The purpose and main focus of this paper  is to inquire into the dynamic nature of stock market and inclusive growth series  in a retrospectively-tended-economy like Nigeria. Lags of the previous periods of the indicators were confirmed to be very fundamental building blocks to understanding the current behaviour of the phenomenal growth of  the two indicators  and their metrics. We reviewed the nature and types of lag models and innovatively interpreted them in a spectacular manner that unveiled the uniqueness of the  impacts of such past periods on current behaviour of  both stock market and inclusive growth. Applying the autoregressive distributed lag model for the period 1980 to 2020, our findings show that current performance of the market and inclusive growth are somewhat inter-period growth-persistence-averse, and stock market size is ephemeral and susceptible to shadow and cosmetic largeness. We recommend that Lags should be considered as important and indispensable inputs into the policy and stock market and inclusive growth  modelling processes and procedures in Nigeria.

Keywords: Stock Market Development; Inclusive Growth; Dynamic Effects; Retrospectively- Tended-Economy.
Pronoun Lists in Profile Bios Display Increased Prevalence, Systematic Co-Presence with Other Keywords and Network Tie Clustering among US Twitter Users 2015-2022
Authors: Tucker Liam , Jones Jason
Published: March 2023

Over the past few years, pronoun lists have become more prevalent in online spaces. Currently, various LGBT+ activists, universities, and corporations encourage people to share their preferred pronouns. Little research exists examining the characteristics of individuals who do publicly share their preferred pronouns. Using Twitter bios from the US between early 2015 and June 30, 2022, we explored users’ expression of preferred pronouns. First, we noted the prevalence of users with pronoun lists within their bio has increased substantially. Second, we observed that certain linguistic tokens systematically co-occurred with pronoun lists. Specifically, tokens associated with left-wing politics, gender or sexual identity, and social media argot co-occurred disproportionately often alongside pronoun lists, while tokens associated with right-wing politics, religion, sports, and finance co-occurred infrequently. Additionally, we discovered clustering among Twitter users with pronouns in their bios. Specifically, we found an above-average proportion of the followers and friends of Twitter users with pronouns in their bio also had pronouns in their bios. Twitter users who did not share their preferred pronouns, on the other hand, were disproportionately unlikely to be connected with Twitter users who did.
The Impact of Innovativeness on Supply Chain Performance: Mediating Role of Supply Chain Integration
Authors: Mukhtar Haider , Fazal Snober
Published: March 2023

The purpose of this research is to test the innovativeness impact on supply chain (SC) performance by using the mediating effect of SC integration, as well as by taking into account the moderating effect of information system capability in the manufacturing sector of small and medium enterprises (SMEs) in South Punjab Pakistan. The research is based on a survey questionnaire. Non-probability convenience sampling was used, and 251 responses were collected from the SMEs' Owners/CEOs/managers. The findings show that innovativeness has a favorable effect on SC integration, which in turn has a positive effect on SC performance. The findings imply a moderating effect on the link between SC integration and performance. The findings imply that organizations should strive for innovation and SC integration since they contribute to SC performance. The distinctiveness of this study derives from its attention to SC performance is used, which is explored through the mediating effect of SC integration, as well as by taking into account the moderating effect of information system capability in the manufacturing sector of SMEs in South Punjab, Pakistan.
The Impact of Top Management Ethical Climate, Ethical Leadership, and Firm Procedural Justice Climate on Organization Citizenship Behavior
Authors: Khan Sidra Moid , Taj Salah ud Din
Published: March 2023

This research aimed to investigate the influence of ethical leadership, ethical climate, and procedural justice on Organizational citizenship behavior (OCB) in the banking sector of Pakistan. And also search the role of OCB in affecting work outcomes. The sample population for the study was drawn from 220 employees working for several banks in Pakistan. The data collection will conduct through a structured survey questionnaire. Participants were exposed to task interdependence management and then rated the importance of OCB in the overall climate of the organization. The finding revealed that ethical leadership, ethical climate, and procedural justice were positively associated with collective OCB in the firm. Few conceptual studies and empirical views examined the relationship between leadership and OCB. This explanatory and quantitative research used convenient sampling techniques to support the hypothesis. The theoretical and managerial implications of the findings are discussed in the paper, together with some suggestions for managing leadership and OCB in the banking sector.
The Role of Soft Skills and Organizational Unfairness between Leadership Style and Employee Performance: A Quantitative Study in Educational Institutes of Pakistan
Authors: Khan Kamran , Gul Mahvia
Published: March 2023

Thoughts, strategies, beliefs, and philosophies are continually evolving and changing. In this era of change and growth, leaders have the greatest impact on the success and long-term viability of all organizations and institutions, as well as the formation and maintenance of organizational culture (Robbins & Judge, 2012). Furthermore, the same holds true for educational institutions. Therefore, this study is interested in identifying the effect of leadership styles on employee performance, focusing on the mediating role of soft skills and the moderating role of organizational unfairness. A quantitative method was adopted, and the data of 184 teachers was collected by a higher educational institute. The study has used a cross-sectional research design by using the convenience sampling technique. SMART PLS version 22 data analysis reveals that transactional and transformational leadership styles have a significant positive relationship with employee performance via the mediating role of soft skills. Further organizational unfairness has negatively moderated the relationship between transactional and transformational leadership styles and employee performance. The present study is useful for building employee performance by employing various soft skills and leadership styles and reducing the environment of organizational unfairness. This research could pave the way to improving employee and management readiness to face the 4.0 education era. Limitations and future recommendations are discussed.
Evaluation of The Determinants of Domestic Bonds in Ghana
Authors: Moro Zahra , Opoku Oscar Agyemang
Published: March 2023

The study sought to examine the determinants domestic bonds in Ghana using secondary data. The researcher used the Government of Ghana bonds issued in 2013 to 2017 and has not matured by 31st December 2019. A sample of 6 Government of Ghana bonds which have been on the secondary market for at least two years with a tenor of at least three years was used by the researcher. Based on the stationary and the existence on cointegration vectors, the study investigated long and short run effects using ARDL (1,0,1,1,1,1) and ARDL (1,2,2,2,2,2) Error Correction Models respectively. The E-Views version 11 was used to conduct the analysis. It was found that GDP had a long run insignificant positive effect on Ghana Government Bond Prices, but a short run significant positive effect on Ghana Government Bond Prices. The second major finding was that Exchange Rate had a significant positive effect on Ghana Government Bond Prices in the long run, but this significant effect was negative in the short run. Thirdly, it was revealed that inflation had a significant negative effect on Ghana Government Bond Prices both in the long and short run. Risk Free Rate of Return had a significant negative effect in the long run but had insignificant effect in the short run. Monetary Policy Rate had significant positive effects in the long and short run. It was concluded that increases in Exchange Rate, Gross Domestic Products and monetary policy led to corresponding increases in the prices of government bonds while increases in Inflation, and Risk Free Rate of Return led to a decrease in the prices of Government bonds. In the short run, an increase in Exchange Rate and Inflation leads to a decrease in bond prices while an increase GDP, Risk Free Rate of Return and Monetary Policy Rate leads to a corresponding increase in bond prices. It is recommended that investors consider inflation, GDP, exchange rate, Risk Free Return and Monetary Policy, among other factors, when making decisions on the position to take in a bond as it determines bond prices. Policymakers should aim at working to achieving low inflation and exchange rate figures as that will increase bond prices and make it more attractive to foreign investors. It is also important that policy makers understand and manage effectively risk free bonds and the monetary policy as they have significant effects on the prices of government bonds.
Impact of Benevolence, Integrity, and Ability on Trust in Supervisor
Authors: Akhlaq Madiha , Kiran Kokab
Published: March 2023

The purpose of this paper is to examine the impact of Benevolence, Integrity, and Ability on trust in supervisors in Karachi, Pakistan. To perform this research, a quantitative study was conducted and a structured questionnaire was designed and distributed among the 300 employees in the manufacturing industry. The findings of this research are to discover the relationship between benevolence, integrity, and the ability to trust a supervisor. This is academic research and is conducted in Karachi, Pakistan. This research is done to find out the trustworthiness attribute that is most important and effective to predict employee trust in the supervisor. Supervisors should have trustworthiness attributes such as benevolence, integrity, and the ability to gain employees’ trust and decrease the anxiety and avoidance of employees at work.
Relationship Between Strategic Orientation, Service Innovation and Its Impact on Market Performance
Authors: Maria  , Shah Syed Moin-ud-Din
Published: March 2023

The purpose of this research is to analyze the relationship between a company's strategic direction and the effectiveness of its service innovation and market presence. Owners and administrators were given a preliminary survey questionnaire to fill out. While correlation looks at the link between factors, regression demonstrates the null hypothesis. Customer focus, competitor focus, cost focus, inter-functional coordination, service innovation, and market success were all examined using various techniques. Our research showed that when looking at combined industries, only the link between client focus and service innovation is supported, while the link between service innovation and market performance is not. There is evidence to support the hypotheses that service innovation boosts market performance in the telecommunications sector, and that a focus on competitors and costs contributes to a more creative environment. While service innovation does support market performance in the food and beverage business, it does not support the relationship between cost orientation and inter-functional coordination. Few empirical investigations have focused on service innovation like this one. More research is needed to determine how a company's strategic direction affects its ability to innovate its products, but the findings of this study are transferable to other service industries.
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
The Effect of Modern Strategy Implementation on Smart Infrastructure on Increasing Employee Performance at University in Indonesia
Authors: Noor Dianti Erika , Khoirunnisa Oktaria Gina , Hidayah Sayyidah Rohmatul
Published: March 2023

The design of strategies to increase the potential benefits of an organization is very important for renewal by implementing modern strategies. Smart infrastructure is a digital system that functions to improve performance, welfare, and increase cost efficiency and resource consumption. Previous research shows a significant increase in smart infrastructure which is influenced by the ability of the community. This study aims to analyze the success of implementing a renewal strategy for Smart Infrastructure for employees at university which we can assess from the performance of the university employees. Primary data was collected through questionnaires with a sample of 40 respondents which was then processed quantitatively by ANOVA test and LSD test using the Statistical Package for the Social Sciences (SPSS). The results showed that the percentage rate accepted was 78%, so that the implementation of a smart infrastructure system could increase employee productivity in university.
Accuracy of Malaysia Public Response to Economic Factors During the Covid-19 Pandemic Using Vader and Random Forest
Authors: Jumanto Jumanto , Muslim Much Aziz , Dasril Yosza , Mustaqim Tanzilal
Published: March 2023

This study conducted a sentiment analysis of the impact of the Covid-19 pandemic in the economic sector on people's lives through social media Twitter. The analysis was carried out on 23777 tweet data collected from 13 states in Malaysia from 1 December 2019 to 17 June 2020. The research process went through 3 stages, namely pre-processing, labeling, and modeling. The pre-processing stage is collecting and cleaning data. Labeling in this study uses Vader sentiment polarity detection to provide an assessment of the sentiment of tweet data which is used as training data. The modeling stage means to test the sentiment data using the random forest algorithm plus the extraction count vectorizer and TF-IDF features as well as the N-gram selection feature. The test results show that the polarity of public sentiment in Malaysia is predominantly positive, which is 11,323 positive, 4105 neutral, and 8349 negative based on Vader labeling. The accuracy rate from the random forest modeling results was obtained 93.5 percent with TF-IDF and 1 gram.
Techniques of Applied Machine Learning Being Utilized for the Purpose of Selecting and Placing Human Resources within the Public Sector
Authors: Pampouktsi Panagiota , Avdimiotis Spyridon , Maragoudakis Manolis , Avlonitis Markos , Samantha Nikita , Hoogar Praveen , Ruhago George Mugambage , Rono Wcyliffe
Published: March 2023

In strategic human resource management, one of the most critical issues to focus on is the correct selection and placement of people. Within the confines of this framework, the reason for the study that was conducted was to explore the machine learning approaches that proved to be the most effective in assisting with the recruitment of personnel and the assessment of their positions. To accomplish this goal, a in a series of tests involving workers in the public sector, categorization algorithms were used. The purpose of these tests was to determine which employees would be the ideal fit in which workstations and to determine how workers should be distributed. For supporting the decision support system, an algorithm model was created. Used in the process of recruiting and evaluating potential workers based on the results of the tests that were given. The most important results of this study support the idea that using the People's Evaluation for Recruitment and Promotion Algorithm Model (EERPAM) would make hiring and promoting people in a company fairer.
A Quantitative Study to Understand Diabetes and Behaviour; Hereditary and Beyond
Authors: Arunachalam Rajkumar
Published: March 2023

Diabetes is a group of chronic conditions characterized by high levels of glucose (sugar) in the blood. The hallmark of Diabetes Mellitus, which is mostly brought on by people's daily routines, is considered a chronic disease. Here, habits mostly refer to those that steer a person away from active lifestyle choices and towards a sedentary routine with little to no activities. Modern life is built on the goal to make our lives easy, relaxing, and less tiring hence the concept of sitting down or; ‘couch-potato behaviour’ and doing things at a slow pace triggered the onset of several lifestyle diseases with Type-2 Diabetes being the most common and popular in our Indian societies.
Phytochemical evaluation and nematicide effect of a dry leaves aqueous extract of Eucalyptus globulus against Pratylenchus vulnus infecting apple
Authors: Chihani-Hammas Noura , Hajji-Hedfi Lobna , Larayedh Asma , Regaieg Hajer , Horrigue-Raouani Najet
Published: March 2023

The nematicide effect of an aqueous extract from dried leaves of Eucalyptus globulus was evaluated against the root lesion nematode Pratylenchus vulnus in vitro and in vivo trials. In both experiments, the application of four concentrations of a dried leaf aqueous extract (30 g/100 mL: 100%, 20 g/100 mL :60%, 10 g/100 mL: 30%, 5 g/100 mL: 15%; w/v) significantly reduced the nematode number of females and males in roots of the apple rootstock MM106. In vitro tests showed that the highest mortality was recorded with the undiluted concentration (96%) after 72 h of exposure time. Results of in vivo experiment revealed also that the concentration 100% has significantly increased the reduction rates of the nematode population of females and males (84.43% and 91.40%, respectively) compared to the other concentrations. The chemical treatment with Oxamyl G has significantly reduced the female and male population by 98.30% and 100%, respectively. The chemical analysis of dried leaves of Eucalyptus globulus showed high levels of total phenol and total flavonoid contents and exhibited high antioxidant capacity. The obtained results suggest that aqueous extracts of Eucalyptus globulus leaves have a promising nematicide potential against P. vulnus.
Allelopathic Effect of Barley (Hordeum vulgare) and Rapeseed (Brassica napus) Crops on Early Growth of Acetolactate Synthase (ALS)-Resistant Glebionis Coronaria
Authors: Hada Zeineb , Jenfaoui Houda , Khammassi Messaad , Matmati Ahlem , Souissi Thouraya
Published: March 2023

Glebionis coronaria is a serious threat to cereal production in Northern Tunisia. Previous results showed that G. coronaria has developed resistance to acetolactate synthase (ALS)-inhibiting herbicides which limits their use in cereal cropping systems. The use of allelopathic crops has been reported as a potential alternative to herbicides to control resistant weed populations. The aim of this study is to evaluate the effect of five allelopathic crops on the early growth of G. coronaria. In vitro experiments using aqueous extracts of different crops and in pots experiments with increasing rates of barley (Hordeum vulgare) and rapeseed (Brassica napus) residues were performed for this purpose. All tested crops showed allelopathic effects on G. coronaria and were able to reduce its root length at the concentration of 50 g/L. Barley and rapeseed were the most effective crops, with 70% and 60% of root length reduction, respectively. An aqueous extract concentration study with five increasing concentrations of 12.5, 25, 50, 75, and 100 % was performed with these two crops, and root length was significantly reduced with increasing concentration, being up to 80% with the highest aqueous extract concentration of barley. The in vitro results were supported by the in pots experiment: Shortest roots length and highest dry mass reduction were obtained by the highest barley (0.64 g/kg) and rapeseed (8 g/kg) residue concentrations. This study confirmed the allelopathic potential of both barley and rapeseed in reducing the early growth of ALSresistant G. coronaria, suggesting the effectiveness of these crops if integrated with other control measures for the management of resistant population of G. coronaria in cereal fields.
Interpreting Morphology and Yield Response of Okra (Abelmoschus esculentus) to Weed Variables Using Regression Analysis
Authors: Ayodele Olatunde Philip
Published: March 2023

The cohabitation of weeds with crops may not always pose problems. Weeds are plant pests that negatively impact crop yield. However, it is essential to determine when pest status is reached in crops for weed management decisions in crop production. Field experiments were conducted during the rainy seasons of 2017 and 2018 at the research farm of the Institute of Agricultural Research and Training Ibadan (7o38' N 3o 84' E), located in the rainforest-savanna transition agroecology of southwestern Nigeria. The experiments consisted of nine weed management practices and a weedy check arranged in Randomised Complete Block Design with three replications. Weed density and weight, along with okra's morphological attributes such as the number of leaves, leaf area, plant height and stem girth, were recorded 9 weeks after sowing (WAS). At commercial maturity, unlignified okra pods were harvested from 9-12 WAS. Simple linear correlation and regression analysis between weed parameters and okra traits was performed. The result showed a negative relationship between weed growth and okra yield in both trials. The negative impact of weeds on some morphological traits of okra probably led to the reduction in okra yield. However, plant height and number of nodes did not significantly (P < 0.05) influence okra yield. Weeds attained pest status for okra at a weed density of about 14.17 plants/m2 with weed dry and fresh weights of 10.05 g/m2 and 54.86 g/m2 , respectively. Hence, weed management is necessary for okra production to reduce yield loss.
Nicotiana glauca, a Key Plant for Tomato Growth Enhancement and for the Weed Cynodon dactylon Control
Authors: Jmii Ghofrane , Sayari Marwa , Mars Messaoud , Gharsallaoui Samir , Haouala Rabiaa
Published: March 2023

Worldwide, weeds are the costliest category of agricultural pests. They decrease yields and product quality, hence managing them is vital to successful crop cultivation which is the objective of the current study. The present work aims to evaluate the phytotoxicity of the vegetative part and the flowers of Nicotiana glauca on tomato and the weed Cynodon dactylon. Experiments were carried out under field conditions and a number of biochemical and physiological parameters were determined after harvest. The results showed that adding powdered dried flowers to potting soil (in amount of 1%) was the most effective treatment either to inhibit C. dactylon growth or to increase the tomato yield. The stimulations in shoot, root and fresh weight were respectively 35.25%, 328.97%, and 159.04%. It is also remarkable that aqueous extracts of the vegetative part and flowers spray and vegetative part incorporation into soil treatments were effective in stimulating the growth of tomato, but they were less effective in inhibiting the weed growth. In fact, the greatest inhibitions in shoot, rhizomes and fresh weight did not exceed 66.31%, 70.54% and 96.54% after adding powdered dried vegetative part (in amount of 0.6%). The defense strategy developed by lettuce to deal with allelopathic stress could explain the stimulation of tomato growth. Indeed, it increased the production of some metabolites such as polyphenols, flavanols, proanthocyanidins, flavonoids and tannins in addition to proline and carotenoids. An improvement of PAL and TAL activities with a stimulation of the antioxidant activity by increasing DPPH free radicalscavenging activity were also recorded. However, the respiration reduction and the membrane integrity perturbation (demonstrated by an increase in malondialdehyde content and electrolyte leakage) could explain the weed growth inhibition. These findings emphasize that the use of the powdered dried flowers of N. glauca are effective and easily approach to exploit its valuable secondary metabolites either to control C. dactylon or to improve the production of tomato.
Machine Learning Model of Plant Disease Prediction: Cotton Leaf Curl Virus (CLCV) on Cotton Crop
Authors: Nadeem Rana Muhammad
Published: March 2023

The attack of various diseases is one of the major issues in agriculture, and it has a significant impact on the productivity of agriculture. The correlations between the plant disease life cycle and environmental conditions can be successfully used for the prediction and early warnings of the occurrence of diseases. This study proposes a machine-learning approach for the prediction of disease attacks based on environmental conditions. The proposed model is based on the crop field Internet of Things (IoT) based directly sensed temperature, humidity, and rainfall to predict the monthly occurrence of the Cotton Leaf Curl Virus (CLCV) disease on cotton crops. Moreover, the proposed regression model enables the prediction of the CLCV disease attack with a multiple co-efficient of co-relation value of 0.88 and a coefficient of determination (R2) of 0.82 from the prevailing temperature, humidity, and rainfall environmental conditions. The field evaluation reveals that the predicted accuracy of the proposed solution is 85%.
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.