bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemberdayaan Nelayan Pesisir Pantai Kenjeran oleh Dinas Ketahanan Pangan dan Pertanian Kota Surabaya dalam Pengembangan Kawasan Perikanan
Authors: Adhitya Yudha Satria Adhitya Yudha Satria , Sri Wibawani Sri Wibawani
Published: February 2024

This study aims to examine the empowerment of Kenjeran coastal fishermen by the Surabaya City DKPP in developing fishery areas. The background of this writing is that several fishermen empowerment programs carried out by the City Government of Surabaya have not run optimally. This is further exacerbated by conditions of limited accessibility and other social tensions. This study refers to the theory of Mardikanto & Soebianto (2017:111-112) in which there are 9 (nine) indicators of community empowerment, namely 1) improving education, 2) improving accessibility, 3) improving actions, 4) institutional improvement, 5) business improvement, 6) income improvement, 7) environmental improvement, 8) life improvement, and 9) community improvement. This research method uses a qualitative descriptive method. Data obtained through observation, interviews, and documentation. The results of this study indicate that the empowerment that has been carried out by DKPP Kota Surabaya in developing regional fisheries in the empowerment process that has been carried out has been considered quite successful, being able to increase the catch of fishermen so that it is very helpful for fishermen and can improve the welfare of fishermen in general even though in practice there are still deficiencies.
Effect of Happy Work Environment on Innovative Work Behaviours: Analytical Research in the Ministry of Higher Education and Scientific Research
Authors: Hasan Ghafil Jawad Al Issawi  , Ali Hassoon Altaee
Published: February 2024

The current research aims to test the effect of a happy work environment on Innovative work behaviors, as a stratified random sample of (328) employees of the departments of the Ministry of Higher Education and Scientific Research was selected from the study population of (2229). Relying on the questionnaire in collecting data, the questionnaires suitable for statistical analysis were (322) questionnaires, as the happy work environment variable includes five dimensions: (credibility, respect, fairness, pride, true friendship), while the Innovative work behavior variable dealt with four dimensions (ability Providing Innovative solutions to problems, the ability to come up with new ideas and proposals, change, initiative, and the spirit of risk), and the idea of ​​the research revolves around providing a happy work environment that contributes to and supports Innovative work behaviors. The researcher used several statistical methods to analyze the questionnaire results, including a simple linear regression coefficient. Simple and descriptive analysis using the program (SPSS.v23, AMOS.v23), and the hypotheses were proven correct by finding an effect of a happy work environment in its dimensions on Innovative work behavior in its dimensions. A set of results has also been reached, among which are doubts or concerns about the reliability of management information and procedures, as well as some gaps or deficiencies in the control processes and the audit system, it appears that the responsible management is not at a good level in managing work and fulfilling commitments and promises towards its employees, as well as being informed. On issues and tasks related to work, and from this perspective it is due to several reasons, including the managerial skills possessed by managers that are not sufficient or inconsistent with the specialty of the work assigned to them, and that management capabilities are limited and rely on performing their tasks in a normal or average manner without skill or exceptionality.
Distribution of Dwarf Crocodile (Osteolaemus Tetraspis Cope, 1861) Populations on the Outskirts of the Ebo Forest: Implications for Conservation
Authors: Ayamba Agbor James , Thomas Tsiaze Kuete , Ajebe Harrison Nnoko , Juscar Ndjounguep , Venceslas Prossie Manual
Published: February 2024

Purpose: The study was carried out in three riparian areas of the Ebo forest (Iboti, Lognanga and Ndokmem-North zones) to determine the distribution and status of dwarf crocodiles, and environmental factors influencing their distributions.  

Materials and Methods: Survey on the various listed sites were carried out during the months of April, May and June 2023. The Qgis software was used to produce the distribution map of dwarf crocodiles in the periphery of the Ebo forest from the coordinates recorded at 11 water points using a GPS and 37 fishermen/ hunters were interview.

Findings: The species were classified according to their status defined according to the IUCN red list protocol. The study showed that of the 11 water points studied, 6 were home to dwarf crocodiles, representing a proportion of 54.54%. Although we did not observed dwarf crocodiles in the watercourses in the Iboti zone, their presence is more established in the Lognanga zone (60%) than in the Ndokmem-north zone (40%). The average density of dwarf crocodiles in the periphery of the Ebo forest is around 0.50 crocodiles/km of riverbank covered. This implies that the population of dwarf crocodiles is decreasing and there is high need to increase conservation efforts to protect it from disappearing within the Ebo forest area.

Implications to Theory, Practice and Policy: To guarantee the survival and viability of crocodiles in the periphery of the Ebo forest, it is necessary to opt for organic agriculture, monitoring the quality of rivers and water bodies and regular ecological monitoring of crocodiles.
The Long-Run Effect of E-commerce on Economic Growth in Saudi Arabia
Authors: Basalma Ebrahim Omar
Published: February 2024

This study aims to examine the long-term impact of e-commerce on economic growth in Saudi Arabia using the Cointegration model. The study employs a theoretical and empirical approach by reviewing previous studies to identify some key variables which are the merchandise trade ratio, the number of mobile phone subscriptions, the percentage of internet users and mobile phone subscribers in the population, and the ratio of communication and computer service imports, using time series data from 1992 to 2022 collected from Saudi Central Bank and the World Bank's, and employing Cointegration model for analysis. Results of the study indicate a positive and statistically significant impact of the merchandise trade ratio and the number of mobile phone subscriptions on GDP in the long run. However, the study finds that a high statistical correlation between GDP and the percentage of internet users and mobile phone subscribers in the population does not positively impact economic growth. Additionally, the study found that the ratio of communication and computer service imports no longer affects GDP and economic growth in the long run. These findings first suggest that e-commerce can help diversify the national economy and increase economic growth rates. Second, highlight the need for technology and its use to be directed toward productive purposes. The government and regulators are encouraged to increase investment in e-commerce and facilitate the growth procedures for e-commerce companies.
A Comparative Study of the Art Forms and Masks of Nuo Opera (Costume) in Various Villages of Wu An City
Authors: Yan Xiaoyu , Aris Asliza Bt , Mo Lan
Published: February 2024

With the change in history and culture, Wuan Nuo opera has the problems of low cognition and small scope of cultural dissemination. This paper cuts from the area of Wuan Nuo opera costumes. First, it analyzes the similarities and differences between the main rural Nuo opera costumes and masks in Wuan City, then sums up the cultural elements of the Wuan Nuo opera costumes and shows, and finally discusses the Wuan Nuo opera costumes and masks cultural aspects of the application of the modern clothing design, aimed at promoting the dissemination of the culture of Nuo opera in Wuan, and to provide a reference for the contemporary design of clothing.
Contribution of COMESA in the Fight Against Poverty in Zambia Through Trade Facilitation
Authors: Selisho Joseph , Momba Professor Jotham. C.
Published: February 2024

Background: This study was undertaken due to high levels of poverty in the Common Market for Eastern and Southern Africa (COMESA) Member States. The study endeavored to explore the Contribution of COMESA in the fight against poverty in Zambia through trade facilitation. The study employed qualitative approach with an exploratory research design and critical case sampling to choose 13 key respondents to explore the contribution of COMESA in the fight against poverty in Zambia through trade facilitation. Primary data was analysed from 13 key respondents selected purposively using an interview guide to support secondary data. Data was analysed using thematic and content analysis. According to the World Bank (2017), trade facilitation contains provisions for expediting the movement, release, clearance of goods, goods in-transit, simplification, standardisation and harmonisation of procedures and associated information flows required to move goods from the seller to the buyer for payment. Zambia implemented COMESA’s simplified trade regime (COMESA-STR) for small cross- border traders. The Simplified Trade Regime (STR) basically aimed to formalise informal cross-border trade (ICBT) by putting in place instruments and mechanisms tailored to the trading requirements of small-scale traders that were decentralised to border areas where informal trade was rampant with the view to facilitate ease of access by small traders. The Simplified Trade Regime (STR) made possible for the small-scale cross-border traders to benefit from the COMESA’s preferential trading arrangement with the reduction of tariffs on selected goods. The concept One Stop Border Posts (OSBPs) was also implemented in Zambia and other related trade facilitation measures to support businesses.
Access to Covid-19 Information and Awareness for People with Visual Impairment in Zimbabwe: The Missing Link: The Case of Harare Central Business District (CBD).
Authors: Munemo Dr Emmanuel
Published: February 2024

The thrust of this study was to determine whether information on Covid 19 was being effectively disserminated to people with visual impairment in ways that made it accessible. Covid 19 has destroyed many lives in the country and indeed other countries. While people with sight have access to information through ordinary print, Television, radio,pictures audios, vedios, pamphlets and other such means,the same may not be said of people with visual impairment. People with visual impairment access information through enlarged print, Braille, radio and other forms. It was therefore imperative to determine whether people with visual impairment really benefitted from the current formats of information dissermination on the ground. The study used the qualitative paradigm in gathering data. The population comprised of fifty people with visual impairment. The sample included thirty females and twenty males. The study found out that people with visual impairment were not effectively accessing information on Covid 19 like sighted people were doing. They were being short changed in a number of ways. The formats being used were not effectively reaching out to people with visual impairment. It was mainly ordinary print that was used and yet many of the people with visual impairment required the use of Braille, enlarged print and others. It was also established that while some of the people may have benefitted from listening to audios and some vedios, the way this information was packaged left a lot to be desired. In most cases people with visual impairment had to seek assistance from other people in order to clearly understand the essence of some of the messages meant to benefit them. Some of the information was conveyed in the form of diagrams, and yet not all people with visual impairment can read diagrams and interpret them correctly. Even those with low vision experienced challenges in understanding diagrams. The study recommended that there was urgent need to present information on Covid 19 in accesible formats that were user friendly to all. Policies also needed to be put in place to help in ensuring that this group of people was not shortchanged in this respect. There was also need for the involvement of people with visual impairment in decision making on information dissemination on Covid 19.
Foreign Words in the Language of Medieval Apocryphal Prayers
Authors:   INSTITUTE FOR BULGARIAN LANGUAGE, BULGARIAN ACADEMY OF SCIENCES, Micheva-Peycheva Kalina
Published: February 2024

The article analyses foreign words found in apocryphal prayers from the 15th to the 17th century, with particular attention to two groups of loanwords: names of snakes and names of objects. The loanwords, calques and untranslated transliterated lexemes of Greek origin used in the prayers against snakes are associated with the magical power of words in the Bulgarian tradition. In other prayers, names of utilitarian means to help the suffering are found. The words under consideration have been preserved in the Bulgarian language, demonstrating its connections with Greek and Western European languages during the Middle Ages.
Reporting of Hyperprolactinaemia Post-polyethylene Glycol (PEG) Precipitation at Hospital Tengku Ampuan Rahimah Klang, Malaysia
Authors: ZAHARUDIN Mohd Radzli , SAMSUDIN Intan Nureslyna , ABDUL HAMID Hanisah , C. THAMBIAH Subashini
Published: February 2024

Introduction: Macroprolactinaemia is defined as hyperprolactinaemia due to excess macroprolactin in the presence of normal monomeric prolactin. Failure to identify macroprolactinaemia may result in patients being subjected to unnecessary investigations and inappropriate treatment for hyperprolactinaemia. In our centre,
screening for macroprolactinaemia is currently performed at the request of the treating physician. The study thus aimed to determine the frequency of macroprolactinaemia in samples with serum prolactin ≥700 mIU/L in Hospital Tengku Ampuan Rahimah (HTAR) and to determine the presence of true hyperprolactinaemia in these cases. Methods: A cross-sectional study among hyperprolactinaemic subjects in HTAR, using serum specimens received by the laboratory for measurement of prolactin between October 2018 and September 2019. Samples with prolactin ≥700 mIU/L were screened for macroprolactinaemia using the polyethylene glycol (PEG) precipitation technique. Macroprolactinaemia was present when the percentage recovery of prolactin post-PEG
was <40%. Assay-specific post-PEG monomeric prolactin levels were also reported, with levels above the upper limit of reference intervals indicated the presence of true hyperprolactinaemia. Results: A total of 101 samples
were subjected to PEG precipitation. Macroprolactinaemia was found in four (4%) samples, whilst eight (7.9%) were categorised as indeterminate (percentage recovery of 40-60%). The remaining 89 (88.1%) samples had a percentage recovery >60%, hence considered negative for macroprolactinaemia. All four samples with macroprolactinaemia also had raised monomeric prolactin levels indicating the co-existence of macroprolactinaemia in subjects with true hyperprolactinaemia. Similarly, in the indeterminate group, all eight had raised monomeric prolactin levels. Conclusion: In one-year period in HTAR, macroprolactinaemia was detected in 4% of subjects with prolactin ≥700 mIU/L, all of whom also had raised monomeric prolactin
levels. The common occurrence of both macroprolactinaemia and true hyperprolactinaemia warrants the reporting of both percentage recovery and monomeric prolactin levels post-PEG.
Case Series of Congenital Heart Block: Mothers With anti-Ro Autoantibodies and the Risks to Their Offspring
Authors: Mohamad Kamal Rayuwani , Damayanti Rinni , Ibrahim Rosni , Mahayidin Hasni
Published: February 2024

Introduction: Cardiac manifestation of congenital heart block (CHB) in neonates following maternal anti-Ro and anti-La autoantibodies is a serious complication of neonatal lupus with a prevalence of 1: 22000 live birth and is associated with high morbidity and mortality. Disturbance of calcium homeostasis which leads to electrical conduction abnormality and eventually fibrosis of the heart tissue is the well-known pathogenesis of CHB. Most of the babies with CHB ended up with third-degree heart block and need a pacemaker as it is an irreversible injury. Case series: Here, we reported four case series of neonatal lupus with cardiac manifestation in mothers with positive anti-Ro or anti-La which have been detected during pregnancy within 24 to 32 weeks of gestation. All four cases of newborns ended up with third-degree heart block which required a permanent pacemaker by the latest age of two months old. Conclusion: A better understanding of the aetiology of the development of CHB and identifying the risk factors in mothers is crucial for the outcomes of CHB newborns.
Early diagnosis through early screening, enhanced diagnostic tools for CHB, and timely treatment of the mother may aid clinicians in better management and improve the survival rate of infants with CHB.
Prostate Cancer Detection Using Deep Learning and Traditional Techniques
Authors: Matte Shreyash , Mengal Sairaj , Jadhav Tanmay , Jadhav Prafull , Khawale Poorab , Khachane Atharva , Takale Dattatray G.
Published: February 2024

Worldwide, men are affected by prostate cancer, which is a condition that is both common and has the potential to be fatal. Detection that is both timely and accurate is of the utmost importance for successfully treating patients and improving their outcomes. The technique of machine learning, which is a subfield of artificial intelligence, has recently emerged as a game-changing instrument for the identification of prostate cancer. The purpose of this work is to provide a complete overview and analysis of the use of machine learning methods in the detection, diagnosis, and prognosis of prostate cancer. The study that is being suggested makes use of a wide variety of datasets, which include genetic information, clinical records, and medical photographs. To guarantee the quality of the data, preprocessing techniques are used, and feature extraction techniques are utilized to assist the extraction of relevant information for the construction of models. There are several different machine learning algorithms that are being investigated to see whether they are effective in the identification of prostate cancer. These techniques include support vector machines (SVMs), convolutional neural networks (CNNs), and deep learning architectures. Several performance indicators, including accuracy, precision, recall, F1-score, and ROC-AUC, are taken into consideration throughout the training, validation, and assessment phases of our approach processes. In addition, the research covers ethical aspects, such as data protection, fairness, and the interpretability of models, which are essential for the use of machine learning solutions in healthcare settings. These findings provide evidence that machine learning has the potential to improve prostate cancer detection, which would allow for earlier diagnosis and more individualized therapy courses of treatment. In addition, the capacity to comprehend the predictions of the model and the openness of the model facilitate the ability of healthcare professionals to make educated judgements. This study contributes to the ever-changing environment of prostate cancer diagnosis by providing insights into the incorporation of machine learning into clinical practice. This, in turn, eventually leads to improvements in patient care and outcomes. To further advancing prostate cancer diagnosis and therapy, future approaches include the continuous development of models, the implementation of larger-scale clinical trials, and the utilization of developing technology respectively.
A Novel Combination of Genetic Algorithm, Particle Swarm Optimization, and Teaching-Learning-Based Optimization for Distribution Network Reconfiguration in Case of Faults
Authors: Tung Linh Nguyen
Published: February 2024

Reconfiguring distribution networks involves modifying their topological structure by managing switch states. This process is crucial in smart grids, as it can isolate faults, minimize power loss, and enhance system stability. However, in existing research, the reconfiguration task is often treated as a problem of either single- or multi-objective optimization and frequently overlooks the issue's multimodality. As a result, the solutions derived may be inadequate or unfeasible when facing environmental changes. In this study, the objective function of minimizing power loss considers the case of faults in the distribution grid. Coordinating the initial population division of the Genetic Algorithm (GA) with the Particle Swarm Optimization (PSO) and the Teaching and Learning-Based Optimization (TLBO) algorithms accelerates the process of finding the optimal solution, resulting in faster and more reliable results. The proposed method was tested on the IEEE-33 bus test system and was compared with other methods, demonstrating reliable results and superior efficiency.
Breast Cancer Classification from Histopathological Images using Future Search Optimization Algorithm and Deep Learning
Authors: Gurumoorthy Ramalingam , Kamarasan Mari
Published: February 2024

In medical imaging, precise recognition of Breast Cancer (BC) is a challenge due to the complications of breast tissues. Histopathological detection is still considered the standard in BC detection. Still, the dramatic increase in workload and the complexity of histopathological image (HPI) make this task labor-intensive and dependent on the pathologist, making the advance of automated and precise HPI analysis techniques needed. Due to the automated feature extraction capability, Deep Learning (DL) methods have been effectively used in different sectors, particularly in the medical imaging sector. This study develops the future search algorithm with a DL-based breast cancer detection and classification (FSADL-BCDC) method. The FSADL-BCDC technique examines HPIs to detect and classify BC. To achieve this, the FSADL-BCDC technique implements Wiener Filtering (WF)-based preprocessing to eliminate the noise in the images. Additionally, the FSADL-BCDC uses the ResNeXt method for feature extraction with a Future Search Algorithm (FSA)-based tuning procedure. For BCDC, the FSADL-BCDC technique employs a Hybrid Convolutional Neural Network along with the Long Short-Term Memory (HCNN-LSTM) approach. Finally, the Sunflower Optimization (SFO) approach adjusts the hyperparameter values of the HCNN-LSTM. The outcomes of the FSADL-BCDC are inspected on a standard medical image dataset. Extensive relational studies highlighted the improved performance of the FSADL-BCDC approach in comparison with known methods by exhibiting an output of 96.94% and 98.69% under diverse datasets.
The Effect of Seismic Load on TBM Structures for Metro Line 3 in Hanoi, Vietnam
Authors: Nguyen Chau Lan , Bui Tien Thanh , Nguyen Ngoc Long
Published: February 2024

Metro line 3 in Hanoi is being constructed using tunnels, which may affect nearby constructions. In addition, Hanoi’s earthquakes also pose risks to this Tunnel Boring Machine (TBM) line. This paper studies the impact of TBM construction on the surrounding houses along the line, as well as the impact of earthquakes on this line. A 3D numerical model was developed to simulate the static and dynamic behavior of TBM at station 9 in Metro Line 3. The results show that the maximum settlement at the ground surface under seismic load is significantly reduced from 4.6 mm to 0.1 mm when using the jet grouting method.
Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)
Authors: Prommachan Wirunpuch , Surin Prayoon , Srinoi Pramot , Pipathattakul Manop
Published: February 2024

A primary industry objective is to ensure that machinery remains operational through effective management. Predictive maintenance plays a significant role in monitoring the working condition of machinery. The goal of this study is to establish the criteria for evaluating predictive maintenance techniques for rotating machines utilizing the Analytic Hierarchy Process (AHP). To achieve this target, survey data were collected from questionnaires and interviews with 20 experts, which had at least 20 years of professional experience. The Analytic Hierarchy Process (AHP) was utilized for criteria selection. The findings disclosed that predictive maintenance factors for rotating machines were ranked as follows: vibration analysis (45.5%), acoustic analysis (22.7%), oil analysis (22.4%), infrared thermography (5.8%), and wear particle analysis (3.6%). The Consistency Ratio (CR) was determined to be less than 10%, indicating a high level of consensus among the experts. Given the elevated importance attributed to vibration analysis, it can be concluded that the latter is the primary criterion for selecting predictive maintenance techniques for rotating machines.
Effect of Nano Vitamin E and Selenium Supplementation on Serum Biochemical Profile in Japanese Quails
Authors: BABU S ABHILASH , SIVAKUMAR A V N
Published: February 2024

This study investigated the impact of nano vitamin E with Selenium on serum parameters in Japanese  quails. The experiment involved three groups: a control group (C1) fed a basal diet, a T1 group  receiving vitamin E (150mg/kg) and Selenium (0.3mg/kg), and a T2 group receiving nano vitamin E  (15mg/kg) and Selenium (0.03mg/kg). Results revealed significant differences (p<0.05) in serum  analyses among the groups. The T2 group showed the highest total protein and globulin levels, while  the T1 group exhibited the highest total albumin levels. Total cholesterol levels were significantly  lower in the T2 group, with the highest HDL cholesterol. LDL cholesterol levels were lower in the T2  group. SGOT and SGPT levels were significantly lower in the T2 group. These findings suggest the  potential benefits of nano vitamin E with Selenium in modulating serum biochemistry in Japanese  quails.
A Study on the Effect of Housing on Haematological Parameters of Nellore Lambs
Authors: TEJA KASALA VISHNU , SREEDHAR S , CHAKRAVARTHI M  KALYANA
Published: February 2024

A study was carried out to find out the effect of housing on haematological parameters of Nellore  Jodipi lambs. Thirty weaned Nellore ram lambs of 3-4 months age were divided into three groups of  ten each. The lambs in Group-I were housed with morum flooring and asbestos roofing with tree  shade, while Group-II lambs were housed with morum flooring and asbestos roofing without tree  shade and Group-III lambs were housed with elevated slatted flooring and galvalume roofing without  tree shade. Temperature and humidity values were significantly (P<0.05) different among all the  groups. Lower mean maximum temperature (°C) values were observed in group III (35.53±0.28)  when compared to group I (36.22±0.27) and II (37.29±0.25) and the lower average maximum relative  humidity (%) was 69.59±2.92 in group III followed by group II (69.88±2.94) and I (70.65±2.96). The  mean haematological parameters like RBC, WBC, Hb, PCV were significantly (P<0.05) lower in  group III (8.22±1.00×106/μl, 6.99±1.00×103/μl, 10.22±0.08 g/dl, 28.23±1.00 %) when compared to  group I (9.66±1.00×106/μl, 9.01±1.00×103/μl, 10.85±0.08 g/dl, 31.27±1.00 %) and II  (11.96±1.00×106/μl, 11.73±1.00×103/μl, 13.64±1.00 g/dl, 37.27±1.00%), respectively, whereas, other  parameters like MCH, MCV, MCHC are significantly (P<0.05) higher in group III (11.52±1.00 pg,  34.92±1.00 fl, 36.57±1.00 g/dl) when compared to group I (10.23±1.00 pg, 31.85±1.00 fl, 34.02±1.00  g/dl) and II (8.92±1.00 pg, 28.05±1.00 fl, 32.15±1.00 g/dl), respectively. It was concluded that the  housing system of elevated slatted flooring with galvalume roofing proved to be effective in controlling  heat stress and maintaining normal hematological parameters for better growth performance of  Nellore ram lambs..
Urban and Peri-urban Dairy Production System in Semi-arid Region of Uttar Pradesh
Authors: SINGH SHIVANI , SINGH AMIT , NARAYAN SINGH DEEP , RASHMI  , KUMAR SINGH SANJEEV
Published: February 2024

Urban and peri-urban area are dairy intensive area which provides milk and milk products to the  urban areas and thus help to generates regular income to these farmers. With rise in the urbanization  the demands of milk and milk products is rising and farmers should be prepared the accelerating  demands. The production of dairy animal is mostly influenced by feeding, management, health care  and management practices with a clear understanding about scientific knowledge. Therefore, the  efforts are made to assess the knowledge level of farmers and the factors affecting the dairy  production in urban and peri-urban areas. This study was conducted purposively to assessing the  Urban and Peri-urban Dairy production system in semi-arid region of Uttar Pradesh. The information  on Urban and Peri-urban Dairy production system was collected using structured interview schedule  from 120 households rearing cattle and buffalo from urban and peri-urban area. The results showed  that majority of the respondents were having high dairy farming experience and buffalo was the  preferred animal rather than cow. Majority of the farmers timely fed colostrum to newly born calves  (97.50%) but the practice of feeding mineral mixture to animals is still the matter of concern. Majority  of farmers were relying on natural service for breeding their bovines. Majority of farmers cleaned  shed at regular interval to avoid infection and majority of them vaccinate their animals against one or  the other diseases.
Constraints Perceived by Women Dairy Farmers and Veterinarians regarding Dairy Farming in Guntur District of Andhra Pradesh
Authors: KEERTHI V , ANITHA A , RAO K ANANDA , SUDHAKAR
Published: February 2024

An investigation was conduct to study the constraints perceived by women dairy farmers and  veterinarians on dairy farming in Guntur district of Andhra Pradesh. In technical constraints, majority  (94.70%) of women dairy farmers in Narasaraopeta division perceived lack of preservation facility for  milk as major constraint whereas majority (85.30%) of women dairy farmers in Guntur division  perceived lack of preservation facility for milk as major constraint and majority of women dairy farmers  (76.00%) in Pedaravuru division perceived low milk production by local breeds and lack of knowledge  in identifying diseases of animals as major constraints. In economic constraints, 90.70% of women  dairy farmers in Pedaravuru division perceived high cost of concentrate and other feeds as major  constraint whereas 64.00% in Narasaraopeta division perceived low market price for milk as major  constraint. and 58.70% in Guntur division perceived low market price for milk as major constraint.  Overall majority of farm women (68.44%) in the study area perceived lack of preservation facility for  milk was the major technical constraint. Low market price for milk was the major economic constraint  perceived by farm women (60.90%) in the study area. It was observed that 75.56% of veterinarians  perceived high investment for establishing an entreprise as major constraint in the study area.
Blockchain Enabled Smart Contracts for Digital Assets
Authors: Shreya Kulkarani  , Sahana V  , Prof. Pathanjali
Published: February 2024

The diverse applications and benefits of blockchain technology and smart contracts across various sectors are explored in this overview. Decentralized Finance (DeFi) projects, supply chain management, tokenization of assets, NFT platforms, and identity verification stand out as prominent examples. Smart contracts are lauded for their cost efficiency and security, underpinned by blockchain's cryptographic features that fortify system integrity. Blockchain's global accessibility facilitates cross-border transactions, while decentralized exchanges (DEX) mitigate censorship and counterparty risks, empowering users with asset control. Moreover, blockchain expands investment opportunities through asset tokenization, encompassing diverse classes such as real estate and intellectual property, bolstering security and transparency through immutable ownership records. Oracles play a vital role in integrating real-time data into DeFi ecosystems, informing decision-making by linking off-chain data with blockchain networks.Diverse token standards like ERC-20 and ERC-721 are pivotal, catering to fungible and non-fungible token ecosystems respectively. Lastly, the advantages of proof of stake (PoS) over proof of work (PoW) are highlighted, emphasizing PoS's energy efficiency, transaction throughput, and scalability
Autonomous Quadcopter for Surveillance
Authors: Amith Roy  , Abhishek Rasal  , Viraj Gavhane  , Ravi Javali
Published: February 2024

The use of drone technology is becoming increasingly popular. Finding applications, across various industries. In agriculture drones are employed for tasks such as applying pesticides and fertilizers monitoring crops and creating maps. The construction sector utilizes drones to inspect job sites and track progress. Additionally, the film industry benefits from photography using drones while search and rescue operations rely on them to reach areas. Overall drone technology has the potential to revolutionize industries by offering solutions to previously challenging problems. We propose the development of an AI based autonomous drone system that can be deployed in areas for applications including surveillance and warehouse management. This system incorporates a PI CAM V2 camera mounted on a quadcopter equipped with GPS technology. The drone operates autonomously without the need for a pilot thanks to software, like Robot Operating System (ROS) other cutting-edge technologies
Role of opioid use in gastrointestinal obstruction and perforation: A retrospective review
Authors: Bishnoi Divya , Sharma Priyanka , Rathi Anant Kumar
Published: February 2024

Introduction: Pain is one of the most common complaints that brings a patient to a hospital. For this, usually, the patient might have already consumed various types of pain killer combinations, either prescribed or over-the-counter. In some of these cases, a patient consumes these medicines unmonitored for a long time and then comes with complications, among which gastrointestinal tract obstruction and perforation are the most life threatening.

Materials and methods: Case files from the Department of Surgery were retrieved and studied. Patients were contacted telephonically for details of drug abuse history. These were then further studied in detail.

Results: Forty-eight (68 percent) patients out of a total of 78 had a history of drug abuse. The most commonly abused pain killer was a combination of anti-inflammatory and other salts, which was found in 22 (46 percent) patients, followed by tramadol, NSAIDs, opium, and alcohol (23, 17, 10, and 4 percent, respectively). These groups were comparable in socio-demographic details except in the mean age, occupation, and gender distribution, and the difference was significant (p < 0.01). The most common cause for starting to use any of the above-mentioned pain killer was persistent pain. The most common site of obstruction in drug abusers was the stomach (60 percent), followed by the small intestine (38 percent) and the large intestine (2 percent).

Limitations: (1) This is an observational retrospective record review. (2) Records were studied in hospital settings, so results should be generalized cautiously. (3) Risk of recall bias is present.

Conclusion: Pain killers should always be prescribed with caution and for a short duration. Alternative options for pain relief should be made available, and doctors should be trained. Drug abusers tend to have a gastrointestinal complication at an early age, which means they are prone to further complications and recurrence if the problem is not addressed on time.
Knowledge, Attitude and Practice towards Prevention of Tuberculosis amongst Healthcare Workers in Dr. Lawrence Henshaw’s Memorial Hospital, Calabar, Cross River State
Authors: Umoh Dr Edet Okon , Eyo Akon Okon
Published: February 2024

Despite the availability of tuberculosis (TB) infection control guidelines, research evidence suggests that its implementation seems to be inadequate in many settings including healthcare facilities. This is particularly due to inadequate knowledge and inappropriate attitude of healthcare workers towards TB prevention and control. This study was conducted as an attempt to investigate knowledge, attitude and practice towards prevention of TB among healthcare workers in Dr. Lawrence Henshaw’s Memorial Hospital, Calabar, Cross River State. Three (3) research questions were raised and two (2) hypotheses formulated to direct the course of this study. A descriptive cross-sectional survey was used to study a total of 87 healthcare workers selected from the Healthcare Facility using stratified random sampling technique. The instrument for data collection was validated and reliable questionnaire constructed in consonance with the objectives of the study. Data collected were described using frequency counts, simple percentage, mean, and standard deviation, while the study hypotheses were tested using Pearson Product Moment Correlation Coefficient significant at p<0.05. Results of the study revealed that majority of the respondents had adequate knowledge, positive attitude, and fairly good practice towards prevention of TB infection. There is a statistically significant and positive relationship between knowledge of TB, attitude towards prevention of TB; and practice towards prevention of TB among healthcare workers in Dr. Lawrence Henshaw’s Memorial Hospital, Calabar (p<0.05). It was therefore recommended that healthcare workers should be trained and re-trained through prompt participation in seminars, workshops, and conferences on TB infection prevention and control as an avenue to improve their knowledge and promote practice towards prevention and control of TB in the Hospital.
Motives for Consuming Organic Vegetable during Covid-19 Pandemics in Indonesia
Authors: Rukmi Hendang Setyo , Elvindira Merlinda , Sudarawerti Galuh , Arif Fahmi
Published: February 2024

COVID 19 has an immense impact on people’s life. One of the impacts is the increasing concern for a healthier lifestyle, including the consumption of organic vegetables. This study aimed to determine variables that have a positive and significant impact on consumers behaviour in consuming organic vegetables, by utilizing Partial Least Square – Structural Equation Modelling method. Variables that being analysed in this study are organic food knowledge, environmental concern, price consciousness, health consciousness, quality, subjective norms, risk aversion, perceived behaviour control, convenience to purchase, familiarity, food safety concern, emotional value, promotion, moral attitude, and the impact of COVID 19 on attitudes towards organic food, purchase intention of organic food, and organic purchase behaviour. The result shows that factors strongly influenced consumers’ motivation on the consumption of organic vegetables are subjective norm, risk aversion, price consciousness, emotional value, perceived behaviour control, moral attitude, and promotion respectively. Other factors have unsignificant influence on consumers’ behaviour so those factors can be neglected. The result of this study will be beneficial for organizations or businesses in developing strategy to improve customers’ motivation in consuming organic vegetables.
Antimalarial Drug Resistance in Africa: Current Status and Future Prospects
Authors: Usoro Emmanuel U. , Akintola Mistura A. , Buari Mariam O. , Dike Nkechinyere C. , Owulu Alexandra I. , Omokore Olutomiwa A. , Ndu-Nwankwo Jennifer C. , Oyedepo Comfort E. , Isire Emuvoke A. , Bamidele Oluwagbemiga J. , Timothy Nneoma U. , Tantua Ebike-enie K. , Ndubueze Chidinma R. , Nasamu Elizabeth A. , Okezie-Okoye Chidera A. , Atolagbe Boluwatife S. , Ademolake Jesutoni S. , Ogunleye Augustine Ayokunle , Odiase Uyiosa S. , Emordi Chinem , Uzohue Toochukwu O.S. , C Ikechukwu Treasure , Okwor Promise T. , Nosahoro Osagie W. , Ekpakpale David O. , Akindipe John I. , Jimoh Jesugbejami A. , Basuo Ayebabomonyo B.
Published: February 2024

Malaria remains a significant public health concern in Africa, with millions of cases reported annually. However, the effectiveness of antimalarial drugs, a cornerstone of malaria control efforts, is threatened by the emergence and spread of drug-resistant strains of the Plasmodium parasite. This article provides a comprehensive overview of the current status of antimalarial drug resistance in Africa and explores prospects for combatting this critical issue. In recent years, various regions across the continent have witnessed the rise of drug-resistant malaria strains, posing formidable challenges to malaria treatment and control programs. We delve into the underlying genetic and molecular mechanisms driving drug resistance, shedding light on the role of mutations and the evolutionary forces at play. Despite these challenges, ongoing research and global collaborations offer hope for the future. Combination therapies, innovative drug development, and vector control measures are discussed as strategies to mitigate drug resistance. We also explore the potential of genomics and molecular studies in understanding and countering resistance. However, significant barriers persist, including limited funding, resource disparities, and access to healthcare in remote areas. Socioeconomic factors further complicate the landscape of malaria control. In conclusion, this article underscores the urgency of addressing antimalarial drug resistance in Africa as a public health priority. By staying informed about the current status, supporting research initiatives, and promoting effective policies and interventions, we can strive for a future where malaria treatment remains effective and accessible to all, ultimately working toward the goal of malaria eradication on the African continent.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A REVIEW OF ETHICAL DILEMMAS AND PRACTICAL APPLICATIONS
Authors: Evangel Chinyere Anyanwu  , Chiamaka Chinaemelum Okongwu  , Tolulope O Olorunsogo  , Oluwatoyin Ayo-Farai  , Femi Osasona  , Obinna Donald Daraojimba
Published: February 2024

The fusion of Artificial Intelligence (AI) and healthcare heralds a new era of innovation and transformation, yet it is not without its ethical quandaries. This comprehensive review traverses the intricate landscape where AI meets healthcare, delving into the ethical dilemmas that arise alongside practical applications. The ethical considerations span a spectrum, encompassing issues of patient privacy, transparency, accountability, and the inadvertent perpetuation of biases within AI algorithms. Privacy concerns emerge as a central ethical dilemma as healthcare providers leverage AI to process vast amounts of patient data. Striking a delicate balance between harnessing the power of AI for diagnostic and predictive purposes and safeguarding sensitive medical information is a critical challenge. Moreover, the review scrutinizes the ethical implications of AI algorithms and their potential to perpetuate biases, inadvertently exacerbating health disparities. A nuanced examination of bias mitigation strategies becomes imperative to ensure that AI technologies contribute to equitable healthcare outcomes. In tandem with ethical considerations, the review illuminates the practical applications reshaping the healthcare landscape. AI-driven diagnostics, predictive modeling, and personalized treatment plans emerge as transformative tools, enhancing clinical decision-making and patient outcomes. The efficient allocation of resources, streamlined workflows, and the acceleration of drug discovery processes showcase the tangible benefits of AI integration. This review aspires to guide healthcare practitioners, policymakers, and technologists in navigating the ethical crossroads of AI in healthcare. By fostering an awareness of ethical pitfalls and emphasizing responsible AI development, stakeholders can collaboratively shape a future where AI augments healthcare delivery, upholds ethical standards, and ultimately improves the quality of patient care.

Keywords:  AI, Healthcare, Ethics, Review, AI Application.
Tributação como Instrumento de Fomento Econômico no Âmbito Supranacional
Authors: Camargo Ricardo Antonio Lucas
Published: February 2024

A partir da amplamente propagandeada substituição das funções econômicas do Estado pelos naturais movimentos da oferta e da procura como marca do progresso mundial, olhos postos no comércio supranacional, impondo a redução do exercício do poder tributante, toma-se em consideração, dentre tais funções, precisamente a que acarreta menos resistência da parte dos agentes econômicos privados – o fomento –, que notoriamente se opera mediante instrumentos tributários. Para verificar se permanece, ou não, a possibilidade do fomento público à economia, trabalham-se, como temas recorrentes que gravitam em torno da defesa desse “movimento espontâneo do mercado”, a globalização, a concorrência internacional, a presença das holding companies e a atuação das empresas transnacionais.
Prognostic Assumed-PDF (DDF) Approach: Further Generalization and Demonstrations
Authors: Yano Jun-Ichi
Published: February 2024

Abstract. A methodology for directly predicting the time evolution of the assumed parameters for the distribution densities based on the Liouville equation, as proposed earlier, is extended to multi–dimensional cases as well as when the systems are constrained by integrals over a part of the variable range. The extended methodology is tested against a convective energy cycle system as well as the Lorenz’s stranger attractor. As a general tendency, the variance tends to collapse to a vanishing value over a ﬁnite time regardless of the chosen assumed distribution form. This general tendency is likely due to the common cause as collapse of the variance commonly found in ensemble–based data assimilation.
El valor de los Archivos Históricos: más allá de lo histórico. Una visión desde la ciudadanía
Authors: Cagigal Montalbán Ekain
Published: February 2024

Los archivos históricos representan espacios culturales para el enriquecimiento personal de la ciudadanía. En esta línea, el artículo trata de articular y describir las múltiples dimensiones del valor que proporciona el acercamiento de los usuarios a los contenidos de los fondos históricos, discriminando siempre el perfil ciudadano de los perfiles profesionales de corte académico. Así, se proponen, al menos, cuatro atributos que confieren significación al contacto entre el usuario y las colecciones históricas: el valor literario, el valor lúdico, el valor educativo y el valor identitario. La principal novedad que se pretende introducir es la de contribuir a una perspectiva conjunta entre instituciones y ciudadanía, aportada en este caso desde la contraparte de los archivos, esto es, desde la visión del usuario.
STUDY ON BASELINE ASSESSMENT AND GAP ANALYSIS OF PHC CHANDI, BIHAR AS PER NQAS, MOHFW, GOL
Authors: Patil Pravin , Sodani Dr. P.R.
Published: February 2024

Pravin Patil; Dr. P.R. Sodani
STUDY ON INFECTION PREVENTION PRACTICES IN DELIVERY POINTS OF DINDORI DISTRICT OF MADHYA PRADESH
Authors: Dhore Shirish , Sodani Dr. P.R.
Published: February 2024

Shirish Dhore; Dr. P.R. Sodani
TO ASSESS THE KNOWLEDGE, ATTITUDE AND PRACTICES OF BIO-MEDICAL WASTE MANAGEMENT AMONG MEDICAL AND HOUSEKEEPING STAFF
Authors: Thakur Sahil , Sodani Dr. P.R.
Published: February 2024

Sahil Thakur; Dr. P.R. Sodani
AWARENESS & COMPLIANCE OF IP PRACTICES AMONGST HEALTHCARE PROFESSIONALS OF PRIVATE SHCOS IN KOTA
Authors: Gupta Mitasha , Khanna Dr. Anoop Khanna
Published: February 2024

Mitasha Gupta; Dr. Anoop Khanna
STUDY ON “RISK IDENTIFICATION, ASSESSMENT AND DEVELOPMENT OF RISK MANAGEMENT STRATEGIES FOR NON-CLINICAL DEPARTMENTS IN THUMBAY HOSPITAL, AJMAN, UAE
Authors: Agarwal Kirti , Khanna Dr. Anoop
Published: February 2024

Kirti Agarwal; Dr. Anoop Khanna