bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengabdian Pertanian Penanaman Cabai Guna Meningkatkan Ketahanan Pangan di Desa Rantau Panjang Kiri
Authors: Alnifa Zahra  , Despita Putri  , Eka Nuraini Mulya  , Fauzan Haq Harahap  , Muhammad Farih Azzaki  , Nailam Aliah Mujahatul Ummah  , Riski Afnanda  , Sela Gustia Rani  , Stella Andriani Rizka  , Viskar Nugraha
Published: September 2024

This community service program was conducted in Rantau Panjang Kiri Village, Riau, with the goal of enhancing food security through chili cultivation as the main commodity. The village faces significant challenges in food security due to heavy reliance on rice as the staple crop, making it vulnerable to climate change and market price fluctuations. To address these issues, training and mentoring were provided to farmers to develop their skills in sustainable chili cultivation. The program involved a series of phases including socialization, practical training, and evaluation. Socialization aimed to provide a basic understanding of the importance of crop diversification, while hands-on training focused on chili cultivation techniques, ranging from seed selection and land preparation to pest and disease control. Evaluation was conducted to measure the improvement in participants' knowledge and skills, as well as the impact of the program on chili production in the village. The results of the program showed a significant increase in farmers' understanding and skills regarding chili cultivation, as well as an increase in harvest yields, which helped strengthen the village's food security. Additionally, the program successfully raised farmers' awareness of the importance of optimal land use and reduced dependency on rice. Thus, this community service program not only supports local food security but also improves farmers' economic welfare through agricultural commodity diversification.
Investigation of response of upland rice (Oryza sativa L.) to blended NPSZnB fertilizer in Fogera and Libo Kemkem Districts of Amhara Region, Ethiopia
Authors: Demsew Bekele  , Abebe Getu  , Wubayehu G/medhin
Published: September 2024

A field experiment was conducted for three years to determine economic optimum rate of NPSZnB blended + urea fertilizers for upland rice production in Fogera and Libokemkem districts of Amhara Region. Blended NPSZnB fertilizer rates of 100, 150, 200 and 250 kg ha-1 were factorially combined with 100, 150, 200 and 250 kg urea ha-1. Zero fertilizer as control treatment and recommended NP fertilizer as a reference treatment were included in the study. The treatments were laid in a randomized complete block design with three replications. The results indicated that the highest grain yields of 4 and 6 t ha-1 at Libokemikem and Fogera districts, respectively were obtained from 250 kg NPSZnB + 200 kg urea ha-1. The highest biomass yields at both districts were obtained from 250 kg NPSZnB + 250 kg urea ha-1. The partial budget analysis of the pooled data indicate that, at Libokemikem district, the maximum net economic return (NER) of Ethiopian Birr (Birr) 37,474.80 with marginal rate return of (MRR) 2617.5% was obtained from 250 kg NPSZnB + 200 kg urea ha-1. At Fogera district the maximum NER of Birr 62,548.60 with MRR 1214.6% was obtained from 100 kg NPSZnB + 250 kg urea ha-1. However, it is not possible to draw conclusions that the significant yield increment recorded was due to the contribution of S, B and Zn blends in the NPSB blended fertilizer. Because, there were confounding effects of N and P nutrients in the NPSZnB blended fertilizer. As it is revealed in the results, the significant yield response recorded, however, was due to the increasing levels of N. Therefore, we recommend further investigation of* the response of NERICA-4 (upland rice) to each nutrient (P, S, Zn and B) through nutrient omission studies.
Balancing plant safety and efficiency through innovative engineering practices in oil and gas operations
Authors: Akpe Tombari Akpe  , Shuaibu Isa Nuan  , Bolarinwa Solanke  , Henry Oziegbe Iriogbe
Published: September 2024

In the oil and gas industry, balancing plant safety with operational efficiency is a critical challenge that requires innovative engineering practices. This paper explores how advanced engineering techniques can enhance both safety and efficiency in oil and gas operations. By integrating cutting-edge technologies and methodologies, companies can achieve a harmonious balance between protecting personnel, equipment, and the environment, while also optimizing productivity and resource utilization. Key innovative engineering practices discussed include the implementation of real-time monitoring systems and predictive analytics to enhance safety and operational efficiency. Real-time monitoring, powered by Internet of Things (IoT) sensors, allows for continuous tracking of plant conditions, detecting anomalies before they escalate into significant issues. Predictive analytics, utilizing machine learning algorithms, further aids in forecasting potential failures and scheduling maintenance proactively, thereby minimizing downtime and operational disruptions. The paper also examines the role of risk-based approaches and safety management systems in improving plant safety. Techniques such as quantitative risk assessment (QRA) and safety integrity level (SIL) analysis are pivotal in identifying potential hazards and designing mitigation strategies. These practices ensure that safety measures are proportionate to the actual risk, avoiding over-engineering while addressing critical safety concerns. Moreover, the integration of automation and digital twin technology is discussed as a means to enhance both safety and efficiency. Automation reduces human error and improves precision in operations, while digital twins provide a virtual replica of physical assets, enabling simulation and optimization of plant operations in a risk-free environment. Case studies illustrate successful implementations of these practices, highlighting their impact on reducing incidents and improving operational performance. The paper concludes by emphasizing the need for ongoing innovation and collaboration between engineers, safety experts, and operational managers to continuously advance safety standards and operational efficiency in oil and gas operations.
Contractual challenges in renewable energy projects: The role of ADR in managing risks and disputes
Authors: Adetoyese Latilo  , Hendrickx Oreoluwa Imosemi  , Queenette Anuoluwapo Imosemi
Published: September 2024

Renewable energy projects are increasingly pivotal in the global transition to sustainable energy systems. However, these projects face unique contractual challenges that can lead to disputes and risks, impacting project timelines and costs. This paper explores the critical role of Alternative Dispute Resolution (ADR) mechanisms in managing and mitigating these challenges. The study highlights common contractual issues encountered in renewable energy projects, including ambiguities in contract terms, scope changes, and performance obligations. It examines how ADR methods, such as mediation, arbitration, and adjudication, offer effective solutions for resolving disputes and minimizing disruptions. By analyzing case studies and industry practices, the paper demonstrates the efficacy of ADR in addressing specific issues such as delays, cost overruns, and compliance failures. The findings underscore the importance of incorporating ADR clauses into contract frameworks to enhance dispute resolution processes and risk management strategies. The paper concludes with recommendations for integrating ADR into contractual agreements and emphasizes the need for stakeholders to proactively address potential disputes to ensure project success.
On-farm multi-location testing of synthetic dual-purpose chicken breed (DZ-white) at Lowland area of Kaffa Zone of Ethiopia
Authors: Dekamo Fiseha  , Muluken Zeleke
Published: September 2024

A study evaluated synthetic dual purpose DZ-white’s adaptability and production performance in lowland agro-ecology. A total of 900 day-old chicks were distributed to fifteen (15) participant farmers (sixty chicks per farmer). Vaccines for Newcastle and Gumboro were administered as per veterinarian recommendations. Initially, chicks were supplemented with commercial feed and gradually shifted to locally available feed resources. Data on body weight, age at first egg, egg production, egg weight and farmers’ perception were recorded. On average, the adult male and female chicken body weight recorded at 20 weeks of age were 331.2 grams and 273.3 grams per chicken, respectively. Moreover, in the present study, the adult male and female chicken body weight recorded at 20 weeks of age were 1541.3 grams and 476.9 grams per chicken, respectively. The result also showed that an average egg weight at initial laying stage 5%, 50% and peak production stage were 44.09 grams, 48.33 grams and 55.45 grams, respectively. In the current study, chickens produced 296 eggs annually. Based on the adaptability, production performance and social acceptance, participant farmers preferred synthetic dual purpose DZ- white chicken breed to commonly used local and exotic breeds. As a result of their moderate growth and production performance, scavenging ability and social acceptance, demonstration and scaling up of the breed in the rural smallholder production system are highly recommended.
Effects of period and type of storage on germination test of Acacia polycantha seeds in South Kordofan State, Sudan
Authors: Yahia Ibrahim M Abutaba  , Mehad Elbelil Adam  , Hassan E. Adam
Published: September 2024

The study aimed to investigate the effect of storage type and period of Acacia polycantha (Kakamout) on seeds germination and to attain an appropriate method of seed storage. The experiment was conducted at the Regional Tree Seed Centre-Elobied during the year 2016, and the seeds were collected from Kadugli site. Some tests were applied (purity, number of seeds/kg, moisture content, germination, viability) on seeds before and after their storage in three stores under different status (normal, cold and deep) and in four periods of time (3, 6, 9 and 12 months) for each sample. Experiment design by Randomized Complete Block Design (RCBD) with three replicates in storages by repeating three samples. The experiment used the Randomized Complete Block Design (RCBD) with three replicates in storages by repeating three samples. The data was analyzed by SAS software using ANOVA table, while LSD test used for means separation. The results showed a significant differences )α = 0.05 (in the normal store and high significant difference (p< 0.0001) in the deep store. Also, seeds revealed a decrease in the moisture content of the deep store by 4%, and a decrease in the number of seeds by11747 seeds for the cold store in the fourth period resulting in the weight gain of the seeds and the decrease in the number of seeds/kg. The study recommends the storage of Acacia polycantha seeds in deep, cool and normal storage at any period of the year.
Climate smart agriculture in sub-Saharan Africa: Role of arbuscular mycorrhiza fungi
Authors: Adebisi Esther ENOCHOGHENE
Published: September 2024

Climate change affects many areas of human lives, including agriculture. Interestingly, agriculture contributes to climate change, necessitating climate smart approaches to ensure a win-win situation; wherein agricultural production is sustainable and meets current and future needs. Climate smart agriculture is a collection of agricultural practices that increase productivity, adaptation, and mitigation of climate change contribution to agriculture. While many global regions depend on agriculture directly and indirectly, the sub-Saharan Africa region is directly dependent on agriculture. Existing “climate smart” activities in this region must be better defined and strengthened to achieve its objectives – increasing agricultural productivity, adapting agricultural systems, and mitigating emissions from agricultural activities. Among these climate smart activities are the significance of soil microorganisms, particularly arbuscular mycorrhizal fungi in sustainable agricultural systems, where they provide limited plant nutrients, control pests and diseases, aid drought adaptation, improve soil structure, reduce nutrient loss during leaching, leading to sustainable soil management.
GC-MS profiling and phytochemical quantification in methanolic extract of Bidens tripartita
Authors: Eboh Abraham Sisein  , Azibanasamesa DC Owaba  , Robert Owabhel Faith
Published: September 2024

Bidens tripartita (Asteraceae) is a weed like plant commonly known as Burmarigold. It is found in water logged and wet regions. The leaves of Bidens tripartita were harvested, dried and grounded. The powdered leaves were extracted with methanol, the extract was processed into a paste and stored in the refrigerator. Standard quantitative spectrophotometric methods were applied to quantify total phenol, flavonoid and alkaloid. Gas chromatography mass spectrometry (GC-MS) evaluation of methanolic leaf extract of Bidens tripartita was according to standard procedures. The phytochemical results showed total phenol 83.35±1.17 mgGAE/g, total flavonoid 10.12±0.05 mgQE/g, total alkaloid 4.5±0.73 %. The GC-MS also reveals many Medicinal compounds like Caryophyllene, Spathulenol, N-butyl-benzenesulfonamide, Methyl palmitoleate, 9,12-octadecadienoic acid methyl ester, Phytol, Gamma tocopherol, Vitamin E, Campesterol, Stigmasterol. Conclusively Bidenstripartita contains a lot of Medicinal phytochemicals that can be harnessed through extensive extraction for the development of a drug.
Bacteriological analysis of OKPA (Bambara nut Moi Moi) sold in NKWO market of Okija town near Legacy University Okija.
Authors: Malachy Ikeokwu Osuji  , Merit Chinemerm Odili  , Mary Onyinye Okafor  , Chiedozie Vitus Udeogu  , Valentine Nnachetam Unegbu
Published: September 2024

This research was conducted to ascertain the bacterial content of Okpa(Bambara nut moi moi) sold in Nkwo market in Okija town. This market is strategic as it is a popular market serving Legacy and Madonna Universities and the entire Okija town. Five samples were collected and analyzed using spread plate technique after tenfold serial dilution. Nutrient agar was used to enumerate total colony count while MacCokey agar was used for coliform count. After incubation for 24 hours at 37 ℃, 1.2 x105, 2.1 x 104, 4.5 x 104 and 2.0 x 104 cfu/g were observed for nutrient agar. For the coliform count, 1.1 x 102, 2.1 x 10, 1.2 x 10 and 1.0 102 cf/g were observed on MacConkey agar. The results showed that, though the Okpa were contaminated, the coliform count was not at the level of causing disease. Also, the research revealed that the sources of the pathogenic bacteria are through unhygienic actions of the people that prepares the food and those that hawk them. The research also recommended that adequate sanitary practices and procedures should be adopted during Okpa preparation.
Simulation of obstacle avoidance robots
Authors: Mukhtar Ibrahim Bello  , Muhammad Ahmad Baballe
Published: September 2024

The first function of the system is to detect the presence of obstacles. When the user activates the system using the power ON/OFF switch, the Arduino microcontroller will read the data. When the ultrasonic sensor detects the presence of an obstacle in the process of moving forward, the robot will move backward. If the robot does not sense any obstacle, that is, if the distance between an obstacle and it is wide, it will then move forward again until it senses an obstacle before it stops. C programming is used for Arduino board applications to develop the program for the whole system's operation. There are three light-emitting diodes; the first one shows the amount of charge in the batteries, while the remaining two show that if the robot is moving forward, one of the two LEDs will be on, and if it is moving backward, one of the LEDs will also be on. There is also a power source unit that is used to charge the batteries used in the system.
The status of cattle brucellosis in Ethiopia: A review
Authors: Zinabu Nigus Belay  , Teweldemedhn Mekonnen
Published: September 2024

Brucellosis is an infectious bacterial disease caused by member of the genus Brucella. Bovine Brucellosis is an important disease of cattle, which has zoonotic importance with substantial economic losses. Risk factors that can predispose to brucellosis include Animal factors, Pathogen factors, environmental factors, managemental factors and occupational risk factors. Hence, knowledge of brucellosis occurrence in traditional livestock husbandry practice has considerable importance in reducing the economic and public health impacts of the disease. The possible sources of infections include all infected tissues, aborted fetus, vaginal discharges, cultures and potentially contaminated materials. The pathogenesis of the diseases lies on the presence of the bacteria, in the cells and employing various methods to survive in the phagocytic cells. The disease can be transmitted from infected host to susceptible animals in direct and indirect contacts. However, the most common mode of transmission is sexual contact. Various methods are employed for the diagnosis of brucellosis including microscopic examination, culture methods, serological and molecular biology. In Ethiopia, Brucella sero prevalence with in extensive cattle rearing system is lower than that of intensive systems. The most rational approach for control of B. abortus infection is by vaccinating young female animals. To deal with diseases like brucellosis, the public in general and high-risk groups in particular should be made aware of the zoonotic and economic importance of brucellosis through veterinary extension education.
A study to assess factors associated with urinary catheterization malpractice among nurses in three tertiary Hospitals of the Amhara region: A cross-sectional study
Authors: Yideg Abinew Kebede  , Bekele Tesfaye  , Hiwot Nahusenay Goshu  , Benalfew Lake  , Tirngo Kebed Simegn  , Melese Abiye Munie
Published: September 2024

Background: Malpractice in catheterization increases the risk of developing urinary catheter complications such as catheter-associated urinary tract infection, a leading cause of infection. Objective: To assess urinary catheterization malpractice, and its associated factors among nurses at the three tertiary Hospitals in the Amhara region, Northwest Ethiopia, 2021. Design: A facility-based cross-sectional study design was conducted. Method: Sample size was proportionally allocated. Then data were collected using a simple random sampling technique. Bivariate and multivariable logistic regression analyses were conducted. A P-value-value, with 95% CI with the correspondence AOR was used to declare significant variables in Bivariate and multivariable logistic regression. Results: Four hundred twenty-four participants were included. 47.1% of Nurses had poor catheterization practice. Educational qualification (AOR = 3.163, 95% CI 1.389 – 7.204), Low knowledge level (AOR = 3.808, 95% CI 1.940–7.474), and inadequate Urinary catheter material (AOR = 1.866, 95% CI 1.219 – 2.859) were associated with catheterization malpractice. Conclusion: In this study, nearly half (47.1%) of nurses had poor urinary catheterization practice. Educational level, availability of catheterization materials, working in hospital, and knowledge of respondents were significant variables in this study.
Commonly reported congenital anomalies in four regions of Ethiopia
Authors: Efrem Teferi  , Ismael Ali  , Binyam Desta  , Hailemariam Segni  , Zergu Tafesse
Published: September 2024

Introduction: Congenital anomalies are structural, behavioral, and metabolic disorders that occur during intrauterine life, and can be identified prenatally, or later in infancy. The prevalence varies between studies as 3- 11 % of live births, 20-30% of stillbirths, and 7% of neonatal mortality. Many congenital anomalies are due to multifactorial inheritance, a combination of genes and environment. Methodology: Cross sectional study was conducted October to December 2019 in health facilities supported by Transform: Primary Health Care project, five intervention regions (Amhara, Oromia, SNNP with Sidama and Tigray). Districts and health centers (HC) were randomly selected, with all hospitals included, minimum sample size was determined using standard approach. Results: A total of 541 health facilities (110 primary hospitals, and 441selected HCs) were included in the study, 314 identified different congenital anomalies, 89 (28%) detected neural tube defect, 60 (19%) orofacial cleft, 40 limb defect (13%), 27 down syndrome (9%), 10 heart defect (3%) and 88 unclassifiedanomalies (28%). Discussion: The highest proportion of congenital anomalies is CNS/ neural tube defects, followed by orofacial and limb/musculoskeletal anomalies. This indicates the need to improve folic acid supplementation during preconception and pregnancy period. Orofacial cleft, and musculoskeletal/limb anomalies, need timely corrective surgery.
Enhancement of biogas production by addition of bovine blood and magnesium sulphate (hard water) to the substrate
Authors: Osuji MI  , Ogbulie JN  , Nweke CO  , Nwanyanwu CE
Published: September 2024

This research was done ascertain how to enhance biogas production by introducing Bovine blood (as source of nutrient) and MgSO4 (for water hardness) into a slurry of mixture of cow and poultry dungs in a bio digester. Local digesters were fabricated. Mixture of piggery and poultry dungs were used as feedstock or substrate. The retention time of 21 days was allowed. At the end of the retention time, it was observed that; bovine blood which started with 19.9 g increased to 231 g. The set up with MgSO4 which started with 24.3 g increased to 136.3 g. the last one which serve control for comparison started with 4.2 g ended up with 80 g. it was noticed that there was initial speed and increase in the set with magnesium sulphate. This is attributed to positive nature of enzymatic activities of Magnesium Sulphate. But that of bovine blood surpassed it. This research is recommending that in the production of biogas, the following should be used. First is mixture of substrate which is called co-digestion. It enhances production. Other ones include addition of bovine blood and measured amount of Magnesium sulphate. Also, the research revealed that the more bovine blood added, the more gas production enhanced.
Establishment of efficient protocol for proliferation and clonal production of banana through micro propagation
Authors: Amar Meghwar  , Shahla Karim Baloch  , Muharam Ali  , Allah Jurio Khaskheli  , Muhammad Rafique Rind  , Sadaruddin Chachar
Published: September 2024

Different concentrations of nutrient media were used, amongst them; the explants cultured on MS media supplementing with IAA 2.00 mg l-1 + BAP 2.00 mg l-1 + NAA 1.0 mg l-1 acquired least time (19.55 days) to regenerate. observed at beneath the centralization of MS+ IAA 1.00 mg l-1 + BAP 2.00 mg l-1 and recorded the least days taken at benchmark (26.67 days) underneath the MS+ IAA 2.5 mg, MS+ IAA 1.00 mg l-1 + BAP 2.00 mg l-1 and the least days taken at pattern had been accounted for (26.67 days). Results with diverse obsessions uncovered that the most noteworthy shoot span of bott l-1 (15.90 cm) become archived under concentrate MS+ IAA 2.5 mg l-1 + BAP 3.5 mg l-1 + NAA 2.5 mg l- 1, followed by way of (14.05 cm) under listen MS+ IAA 1.00 mg l-1 + BAP 2.00 mg l-1 whilst bottle1 became accounted for underneath listen MS+ IAA 2.5 mg l-1 + BAP 3.5 mg l-1 + NAA 2.5 mg l-1 decrease shoot period (8.47 cm). Results from one-of-a-kind centers uncovered that extra bottle1 leaves had been received (7.33) beneath the MS+ IAA 2.00 mg l- 1 + BAP2.00 mg l-1 + NAA 1.0 mg l-1 centralization, trailed by (6.89) under the MS+ IAA 1.00 mg l-1 + BAP 2.00 mg l-1 accumulating, while decrease bottle1 leaves were enrolled (3.89) under the MS+ IAA 2.5 mg l-1 + BAP 3.5 mg l-1 + NAA 2.5 mg l-1 obsession. The maximum extreme number of root bottles1 changed into reached (24.11) underneath the characterization of MS1⁄2 + IBA 2.00 mg 1 + IAA 3.00 mg l-1 + sucrose 75 g l-1, went earlier than (21.55) via (21.55) MS1⁄2 + IBA 2.00 mg l-1 + IAA 3.00 mg l-1 + sucrose 70 g l-1 whilst the least number of root bottles1 (14.77) was discovered underneath the obsession of MS1⁄2 + IBA 2.00 mg l-1 + IAA 3.00 mg l-1 + sucrose 70 g l-1.
Perceived Fairness of Performance Appraisal: Does It Shape Bankers’ Attitudes towards their Job and Organization?
Authors:   Jahangirnagar University, Karim Dr. Dewan Niamul
Published: September 2024

Purpose: The study aimed to assess the effect of perceived fairness of performance appraisal (PA) on bankers’ attitudes, namely job satisfaction, job involvement, work engagement, and organizational commitment. Methodology: The research employed a convenience sampling method to gather data from 207 front-line bank officers working in 10 private commercial banks in Bangladesh. For the analysis of the collected data, the study used statistical tools such as ANOVA, Pearson correlation, and regression, using SPSS version 25. Findings: The study found that fair PA has a significant positive impact on all four types of attitudes. From the control variables (i.e., experience, age, gender, education, and marital status), only education level is found to have a significant negative association with job satisfaction and job involvement. Practical Implications: By highlighting the significance of a fair performance appraisal (PA) system, the study provides insights for bank administrations on improving the positive attitudes of their workforce. This, in turn, may boost bankers’ performance and foster success for the banks as a whole. Originality/Value: In a first-of-its-kind endeavor, the study contributes valuable theoretical insights by exploring the influence of fair PA on diverse types of desirable employee attitudes towards jobs, work, and the organization. Moreover, the study explains the findings in the context of social exchange theory as well as equity theory. Research Limitations: A small sample size, convenience sampling, and cross-sectional self-reported data are the main limitations.
CryptoGenSec: A Hybrid Generative AI Algorithm for Dynamic Cryptographic Cyber Defence
Authors: Al-Kateb Ghada Emad , Khaleel Ismael , Aljanabi Mohammad
Published: September 2024

As the world of cybersecurity constantly changes, traditional cryptographic techniques have faced limitations in the context of today's sophisticated and dynamic threats. Existing protections usually adopt static algorithms and key structures, making it difficult for them to resist the categories of modern attacks. This research paper, therefore, presents CryptoGenSec, a brand-new generative AI algorithm based on a hybrid consisting of generative adversarial networks (GANs) on reconnaissance learning (RL), for the purpose of increasing cryptographic cyber defences. CryptoGenSec applies a GAN to simulate various types of attack scenarios in cyberspace to perceive possible vulnerabilities. Then, RL refines the response strategies of our algorithm through recursive learning from the above simulations in real time and realizes the dynamic adaptation and evolution of defense mechanisms. By assessing the results of CryptoGenSec’s performance when traditional security methods are used as baselines, we can use several metrics for evaluation, such as detection accuracy, response time, resilience and evolution ability. According to these findings, the superiority of CryptoGenSec over conventional mechanisms becomes evident. To be more specific, it even shows an overwhelming edge in terms of threat detection, resulting in a 20% increase in speed of response, a 30% decrease in speed of response, and resisting power, making it 25% harder than the other methods. Moreover, it has a greater possibility of eliminating false-positive effects, which usually come from new and even dawned jeopardy: 50%. Moreover, to highlight the making-a-fortune frauds in the zero-day world, a comparison of the cohorts makes CryptoGenSec a 40% upper step. Stopping attackers from taking away all their data is also its plus point, which gains 95% achievement, whereas using mere methods only results in a 70% possibility. An enormous step in cybersecurity was taken with the combination of GANs and RL within the CryptoGenSec algorithm. Instead of being defenceless against all attacks, this approach changes and matches the threat level when necessary. The highly promising results presented here demonstrate its potential as a crucial technology for addressing the growing complexities of cyber challenges. This is a large step toward making defensive mechanisms more efficient and reliable.
Safe Riding using IOT
Authors: Chandrakar Ila , Shyam Gopal K
Published: September 2024

Bike riding is a lot of fun, but it involves a lot of risk. People prefer motorcycles to cars because they are less expensive to operate, easier to park, and more flexible in traffic. More than 37 million people in India ride two-wheelers. Because of their widespread use, two wheelers have a higher accident rate than four-wheelers. Motorcycles are more likely than four-wheelers to be involved in deadly accidents. The consequences are more dangerous when a driver is involved in a high-speed accident while not wearing a helmet. It's extremely dangerous and can result in fatalities. As a result, wearing a helmet can lower the incidence of accidents and potentially save lives. This research aims to prevent accidents and design a helmet detection system. An intelligent/safety helmet is the proposed system. A module affixed to the helmet will sync with the module affixed to the bike and ensure that the biker is wearing a helmet. An additional function of an accident avoidance detecting module will be added on the bike
Implementation of a Floating Wetland as a Degree to Improve the Efficiency Of a Wastewater Treatment Plant by an IoT-based, Open Channel Ultrasonic Flow meter
Authors: . Harshavardhana , Godihal Jagdish. H.
Published: September 2024

Pollution levels vary in a significant portion of the world's water sources. The Floating Treatment Wetland (FTW) is a method utilized for the cleansing and rehabilitation of water sources. It has been extensively researched and implemented in various locations alternative. as an eco-friendly The history and recent developments of the FTW are explored in this article through the examination of diverse literary works published in the last decade. Simultaneously, we are researching the effectiveness of FTW in purifying domestic wastewater and eliminating harmful substances. The write-up presents captivating information about employing loT for controlling the pace of item placement in relation to design, material supply, and production approach. Valuable guidance and suggestions on enhancing the design and effectiveness of contaminant treatment using a loT -based flowmeter will be offered through this information. Additionally, the article provides a fair assessment of the disadvantages associated with employing temporary staff. Effective technological progressions, including aeration, the addition of beneficial substances or bacteria for waste decomposition, and the implementation of combined technologies (hybrid FTWs), were briefly outlined. This paper points to executing a floating wetland as a degree to progress the productivity of wastewater treatment by an IoT-based, open-channel ultrasonic flow meter and a solar cell with an inverter to screen ceaseless flow rate
IoT in Logistics and Transportation
Authors: Kumar Gulshan , Godihal Jagdish H.
Published: September 2024

The integration of the Internet of Things (IoT) in Logistics & Transportation has brought about a paradigm shift in the industry, revolutionizing how goods and people move across the globe. IoT's deployment of interconnected smart devices, sensors, and communication systems has enabled real-time data collection and analysis, enhancing visibility, efficiency, and sustainability. With IoT powered solutions, transportation companies can track assets and shipments in real-time, optimize routes to reduce fuel consumption, and improve fleet management for cost-effective operations. Moreover, IoT facilitates predictive maintenance, enabling early detection of equipment issues and minimizing downtime. The seamless connectivity provided by IoT fosters smoother supply chain management, streamlining inventory control and minimizing delays. Embracing IoT in Logistics & Transportation not only enhances operational efficiency but also improves safety through driver behavior monitoring and risk mitigation. This abstract explores the transformative impact of IoT in the industry, showcasing its potential to optimize logistics operations, promote sustainable practices, and shape a connected and innovative future.
Assessment of the Quality of Recovery Water using for Crop Irrigation-A Case Study
Authors: Raju K Venkatesha , N.M Guruprasad , M.N Sridar Babu , S.B Mukamba , M.B Santhosh
Published: September 2024

The study was carried out to analyse heavy metal content in water soil and vegetables of Narsapura lake catchment in Kolar District, Karnataka receiving water from KC Valley Sewage Treatment Plant. Samples were collected from selected locations in the study site during 2020 dryseason and analyzed for six heavy metals as per the APHA standard methods and level of contamination was recorded. Cu and Zn not detected in any of the three sets of samples. But Ni, Fe, Pb and Cd were exhibited at very high concentrations when compared to prescribed PFA standards. The analytical results of the present study revealed that the vegetables grown using the recycled water in Kolar district is significantly containing heavy metals. The consumers who are using it are at higher risk of acquiring diseases which will definitely diminish human’s health at a rapid rate. Further in treatment advanced technologies to be adopted and should ensure properly the quality of the treated water, which draining into Kolar lakes for recharging ground water and irrigation needs.
Artificial Intelligence for Sustainability: Opportunities and Challenges in Urban Solid Waste Management
Authors: S Jithendra , Godihal Jagdish H , Patil Arpita
Published: September 2024

Artificial intelligence (AI) can address some of our time's most urgent social and environmental issues. This article investigates the benefits and constraints of employing artificial intelligence for social good and sustainable development. We examine current literature and case studies to demonstrate the potential uses of AI for social and environmental effects, such as resource allocation optimization, disaster response improvement, and public health system enhancement. We also identify major problems, such as privacy and bias concerns, and emphasize the importance of responsible AI practices and ethical frameworks. Finally, we argue that while AI has immense potential to promote social good and sustainability, its success will be dependent on a careful and ethical approach to its development and implementation. We look at how artificial intelligence is being used in Garbage can be detected and sorted with precision from 72 to 99% using AI. By combining machine learning and physicochemical analysis, Garbage burning, carbon emission estimate, and recreation of energy are all improved. By combining artificial intelligence and chemical analysis, waste pyrolysis, carbon emission estimate, and energy conversion are all improved. And Talk about how AI may improve productivity and lower costs in waste management systems for smart cities
Management and Treatment of Red Eyes in Primary Care
Authors: Bhamra Jamie , Sylvestre-Bouchard Antoine
Published: September 2024

Red eyes are a common complaint in primary care settings, with a plethora of causes and implications. Some etiologies are benign and self-limiting, while others are sight threatening and require urgent referral to an ophthalmologist. Therefore, it is important for primary care physicians to be able to carry out a diligent eye exam, recognize the signs and symptoms of different types of red eye presentations, to initiate appropriate management and treatment and to refer to ophthalmology when needed.
Tree architecture and leaf morphometry of Qualea grandiflora Mart. (Vochysiaceae) in a fragment of dry forest and pasture in the State of Goiás, Brazil
Authors: Guimarães Brenda Oliveira , Morais Isa Lucia de , Oliveira Ana Paula de , Almeida Rafael Felipe de
Published: September 2024

Investigating the functional traits of plant communities is extremely important for conserving habitats and plant species. This study aimed to evaluate the tree architecture and leaf morphometry of Qualea grandiflora (Vochysiaceae) in a fragment of semideciduous dry forest and pasture in the Boa Esperança settlement, municipality of Piracanjuba, State of Goiás, Brazil. Environmental, tree architecture, and foliar morphometry data were collected for seven trees in the semideciduous dry forest and five in the pasture area. We used the Shapiro-Wilk test to assess the normality of the collected data. The student t-test was used to compare the means of the functional traits between the two environments (forest and pasture). The average value of canopy cover was 85% for the semideciduous dry forest and 0% for the pasture. The mean values for leaf length and width were lower in the pasture. There was no significant difference in the petiole length in the two evaluated environments and for none of the functional traits related to the tree architecture. However, individuals of Qualea grandiflora grow better in the seasonal semideciduous dry forest, probably as a response to less stressful environmental conditions for this species. Thus, for sustainable exploitation by the local community, it is recommended that the tree matrices be chosen within the semideciduous dry forest area.
Impact of climate change on grape composition: a review
Authors: Aloy Keila Garcia , Bergmann Amanda Radmann , Costa Vagner Brasil , Malgarim Marcelo Barbosa
Published: September 2024

The objective of this study was to prepare a literature review on the main implications of climate change for the composition of grapes and wine. A literature review was carried out with articles, books, and other scientific materials available in internet databases for indexing terms. A systematic literature review was adopted to prepare this review. Initially, the question for the development of the research was formulated. Soon after the search strategy was defined, the search for manuscripts related to the subject in the databases began. The manuscripts were selected for their relevance and relationship with the key subject of this review. Results inferred that the problems caused by the greenhouse effect, not only globally but also at regional and local levels, are worrying for the agricultural sector. In Brazil, projections for the end of the century indicate an increase of approximately 2°C in temperature, and the vine is a crop highly influenced by the climate, considered a factor of utmost importance for its development, productivity, and quality in the vineyard. Studies have shown that climate change causes changes in temperature, solar radiation, water, and CO2, consequently compromising the composition of sugars, organic acids, phenolic compounds and aromatic compounds, in grapes and wine. It is concluded that the problems caused by climate change in both the composition of grapes and wine are worrying, as they can cause great losses for producers and vineyards. However, more studies and research are needed to propose strategies that can minimize the effects of climate implications.
Character Education in the Digital Era for Elementary School Students
Authors: Suryani Suryani
Published: September 2024

Character building is the process of applying manners and religion to students through knowing and applying these values to themselves, their families, all their friends, their teachers, their environment, and the Almighty God. The social development of elementary school students is progressing. From the beginning, he played alone with his family at home, and then he met other people in his environment. Children this age are familiar with the digital style at home, with friends, at school, and in the community. The digital age has both negative and positive impacts. In this case, parents, teachers, and the community try to guide and observe the children to be good, excel, and set positive goals.
Policy Analysis of Pancasila Student Profiles in Strengthening Students’ Character Education
Authors: Putra I Putu Anggawijaya
Published: September 2024

The policy regarding the Pancasila student profile is a policy to increase positive values in students. This study aims to provide a description of the results of the analysis of the Pancasila student profile policy to strengthen the character or values of students at SMA Negeri 1 Belitang III OKU Timur. The research was conducted with reference to qualitative methods, specifically using a case study approach and literature (books, literature, and scientific journals). The results of the research conducted show that the policy regarding the Pancasila student profile has been proven to be able to strengthen the character (faith and devotion to God Almighty, having noble morals, having a cooperative attitude, being creative, independent, and having critical reasoning) of students, especially at SMA Negeri 1 Belitang III Oku Timur.
Implementation of Educational Supervision in Improving Teacher’s Competency
Authors: Srimawati Nurmawan
Published: September 2024

Educational supervision is one effort that can be made to improve teacher competence. High teacher’s competency will have a positive impact on quality of learning. This research aims to analyze the implementation of educational supervision in improving teacher’s competency at SMP Negeri 5 Prabumulih. This research uses a qualitative approach with a case study method. The research subjects were the principal and teachers of SMP Negeri 5 Prabumulih. Data was collected through interviews, observation and documentation. The research results show that: (1) the implementation of academic supervision is carried out by the school principal once every semester, the principal also acts as a coordinator, leader, consultant and evaluator; (2) teacher’s competency is characterized by the application of pedagogical competency indicators, which include student characteristics, subject matter in accordance with the curriculum, theory, teaching modules, learning implementation plans, syllabus, mastery of the learning process with technology, reflection, assessment and evaluation; (3) the implementation results show that the implementation of educational supervision in improving teacher competence has gone well, as evidenced by the results of the recap of educational supervision assessments. It contributes to the school’s principal applies educational supervision comprehensively to get reputable teacher’s competency.
The Effect of Entrepreneurial Dimension on Corporate Reputation Among Corporations in the Municipality of Santo Tomas, Davao Del Norte
Authors: Balgoma Jannah Mikaela V. , Espinosa Brindel D. , Almagro Ronald E.
Published: September 2024

This study focused on the connection between entrepreneurial dimensions and corporate reputation among corporations. Using the Sloven equation, the intended sample size was 148 out of the 240 workers who participated in the research as responders. The method used to choose the respondents was universal sampling. The data obtained using two adjusted questionnaires were analyzed using the mean and Pearson r. The results showed that workers usually exhibit the entrepreneurial dimension in terms of competitive aggression. However, a company’s reputation for emotional appeal is always present. The findings showed that among employees of a firm, there was a substantial correlation between the entrepreneurial component and corporate reputation. The findings proposed that corporations should create programs supporting employees’ bold activities with clear risk evaluations and training. Besides, representatives must remain informed about industry trends, competitor activity, and the company’s objectives. Moreover, employees must build on trust, shared purpose, and respect, which can create more meaningful and sustainable connections among employees. In addition, corporations must emphasize surveys to recognize the value of exceptional personnel, attract them, provide them with benefits, and offer them competitive compensation. Future researchers will explore the impacts of entrepreneurial dimensions (e.g., innovativeness, risk-taking, pro-activeness, and competitive aggressiveness) on corporate reputation among corporations. Understanding which dimensions have the most prominent impact can assist employees in working efficiently.
Principal’s Leadership in Improving Teacher’s Performance in Elementary Schools
Authors: Dellyana Dellyana
Published: September 2024

This study aims at analyzing principal’s leadership in improving teacher’s performance. Leadership is the ability to encourage a group to achieve a specific goal. Leadership has a great influence on the progress of the organization, and the qualities shown by the leaders. Leaders are often considered the most important element that determines the success of an organization. This study uses qualitative descriptive that aims to analyze the circumstances, conditions, or other things, and the results are documented in the research report. The results stated that the principal has a leadership function as an educator, manager, administrator, supervisor, leader, innovator, and motivator (EMASLIM). Based on observations in schools, the problem found by the researcher is that the principal’s efforts to improve teacher’s performance have not been fully resolved. For example, it still looks low in attendance. Teachers face difficulties in preparing learning plans.
Starting blog on github
Authors: Wezenbeek Wilma van
Published: September 2024

I have been thinking about this for some time now. At the moment I am Captain of Transformation at the Dutch programma Npuls, for the topic Digital Educational Resources.
Enhancing user experience and trust in advanced LLM-based conversational agents
Authors: Xu Yuanyuan , Gao Weiting , Wang Yining , Shan Xinyang , Lin Yin-Shan
Published: September 2024

This study explores the enhancement of user experience (UX) and trust in advanced Large Language Model (LLM)-based conversational agents such as ChatGPT. The research involves a controlled experiment comparing participants using an LLM interface with those using a traditional messaging app with a human consultant. The results indicate that LLM-based agents offer higher satisfaction and lower cognitive load, demonstrating the potential for LLMs to revolutionize various applications from customer service to healthcare consultancy and shopping assistance. Despite these positive findings, the study also highlights significant concerns regarding transparency and data security. Participants expressed a need for clearer understanding of how LLMs process information and make decisions. The perceived opacity of these processes can hinder user trust, especially in sensitive applications such as healthcare. Additionally, robust data protection measures are crucial to ensure user privacy and foster trust in these systems. To address these issues, future research and development should focus on enhancing the transparency of LLM operations and strengthening data security protocols. Providing users with clear explanations of how their data is used and how decisions are made can build greater trust. Moreover, specialized applications may require tailored solutions to meet specific user expectations and regulatory requirements. In conclusion, while LLM-based conversational agents have demonstrated substantial advantages in improving user experience, addressing transparency and security concerns is essential for their broader acceptance and effective deployment. By focusing on these areas, developers can create more trustworthy and user-friendly AI systems, paving the way for their integration into diverse fields and everyday use.