International Innovations Journal of Applied Science
International Innovations Journal of Applied Science (IIJAS) An international refereed journal issued by the Scientific Events Gate- Malaysia, semi-annually under the supervision of a group of scientists, researchers and specialists from all over the world.
Growth and Yield improvement in strawberry through foliar application of Boron and Zinc
The present investigation entitled “Growth, Yield and Quality Improvement in Strawberry through Foliar Application of Boron and Zinc” was conducted during the rabi season of 2024–25 at the Experimental Polyhouse, College of Agriculture, Central Agricultural University, Imphal. The study aimed to evaluate the individual and combined effects of foliar-applied boron (B) and zinc (Zn) on the growth, yield, quality parameters, and economics of strawberry (Fragaria × ananassa Duch., cv. Chandler). The experiment was laid out in a Factorial Randomized Block Design (FRBD) with three replications, comprising three levels of boron (0%, 0.01%, 0.02%) and three levels of zinc (0%, 0.02%, 0.04%), forming nine treatment combinations. Results revealed that the foliar application of 0.02% boron and 0.04% zinc (T9) significantly enhanced plant growth attributes, including maximum plant spread (E–W: 29.07 cm; N–S: 29.91 cm), earliest 50% flowering (60.13 days), and highest number of flowers per plant (24.73). This treatment also recorded the highest fruit set percentage (80.55%), number of runners per plant (17.90), and yield attributes such as fruit length (3.62 cm), fruit diameter (3.28 cm), fruit weight (14.63 g), and yield per hectare (109.86 q/ha). Economic analysis indicated that T6 achieved the highest net return (₹1287393.267/ha) and benefit–cost ratio (1.492). The improvement in growth and productivity may be attributed to boron’s role in cell wall formation, pollen tube growth, and sugar transport, and zinc’s role in auxin synthesis, enzyme activation, and chlorophyll formation. The findings demonstrate that combined foliar application of boron (0.02%) and zinc (0.04%) is a highly effective strategy for enhancing strawberry growth, yield, quality, and profitability under the humid subtropical conditions of North-East India. This integrated micronutrient management approach has potential for wider adoption to maximize returns from commercial strawberry cultivation.
Boron Foliar spray Growth Quality Strawberry Yield Zinc
Copyright (c) 2026 International Innovations Journal of Applied Science https://creativecommons.org/licenses/by/4.0
Performance Evaluation of Sustainable Concrete Incorporating Supplementary Cementitious Materials: A Review-Based Study
This study presents a comprehensive review of sustainable concrete that incorporates supplementary cementitious materials (SCMs). It evaluates the impact of SCMs on the durability and compressive strength of concrete, while also considering the environmental implications of their use. The findings highlight the potential benefits of utilizing SCMs in concrete production, emphasizing their role in enhancing performance and reducing the carbon footprint of construction materials.
Evaluation of the Effects of the Al-Jazeera Poultry Station’s Routine Use of Tetracycline and Robenidine on the Bursa of Fabricius and Duodenum in Broiler Chickens in Libya
The widespread use of antimicrobial agents in poultry production raises concerns regarding their effects on intestinal integrity and immune function. Tetracycline is a commonly used broad-spectrum antibiotic, while robenidine is a widely applied anticoccidial in broiler management. Understanding their combined impact on key immunological and digestive organs is essential for flock health and productivity. This study evaluated the effects of the routine management protocol at Al-Jazeera Poultry Station in Libya, which involves tetracycline in drinking water and robenidine in feed, on the bursa of Fabricius and the duodenum in Ross broiler chickens. A total of 180 birds were assigned to three groups: Group 1 received water free of tetracycline and feed without anticoccidials; Group 2 received water free of tetracycline and feed containing robenidine (0.005 g/kg); Group 3 received water containing tetracycline (500 mg/0.5 kg body weight) and feed with robenidine according to the station’s standard program. Birds were sampled at 35, 41, and 48 days for macroscopic and histological assessment. Histological analysis revealed variations in tissue morphology across groups, reflecting the effects of the station’s existing management practices. These results provide insights into the impact of routine antimicrobial and anticoccidial use on critical immunological and digestive organs in broilers.
Broiler chickens; Tetracycline; Robenidine; Histology; Poultry management.
Normative Approach to Evaluating Accessibility Residents’ and Tourists’ Trip Comfortability Perspective in Karbala City, Iraq
One of the most significant aspects of urban transportation planning is accessibility. A variety of studies have been conducted on calculating accessibility using motorized modes in metropolitan areas. In this paper, the accessibility of four different modes of transport was assessed in Karbala City Centre (KCC). Religious-Cultural Cities that have experienced an increase in problematic urban areas with economic, social, and environmental issues are impacting their livability which require critical research to guide policy planning and development. Religious-cultural tourism is a strong motivator to preserve cultural heritage in tourist destinations. It helps to preserve heritage as an invaluable tourist attraction. In recent years, a city's rapid growth has resulted in an increase in tourists, people, and cars, along with a limited expansion of the roads. This has resulted in frequent traffic complications and excessive congestion, which negatively affects the environment, economy, travel time, and safety that is causing inconveniences to its citizens and visitors. This paper studied and analyzed the performance using Minitab Statistical Software of the transport network structure inside the KCC using a Likert Scale Survey and measured the level of comfortability during people's (residents and tourists) journey to KCC. This work found that 61% of participants responded concerning the integration of various types of public transport inaccessible and 57% the integration of private and public modes of transport is not available. As a result, the use of the knowledge and understanding of accessibility measures to better plan and organize the structure of roads.
city center, historic religious city, Road Street network (RSN), Likert scale survey, accessibility indicators
Transportation Urban Planning Engineering
Improving the Quality of Health Data in Electronic Medical Records and its Impact on Clinical Performance Indicators - An Empirical Study in a Specialized Hospital in Saudi Arabia
This study aims to explore the impact of implementing the Value-Based Healthcare (VBHC) model on the adoption and development of health technologies in private healthcare facilities in the Kingdom of Saudi Arabia. The study employed a descriptive-analytical approach, with data collected through an online questionnaire distributed to a sample of private healthcare professionals. The results showed a statistically significant positive impact of implementing the VBHC model on the adoption of health technologies. The study also revealed that, despite a high level of awareness of the model, the level of institutional readiness (including administrative support, organizational culture, and resources) had the strongest influence on technology adoption. The study recommended bridging the gap between theoretical awareness and practical readiness by providing the necessary administrative support and resources, developing clear incentive models, and promoting a culture of cooperation and transparency to stimulate the shift towards more sustainable and effective patient-centered healthcare
Quality of health data Electronic Health Records Performance Indicators
The Impact of Value-Based Healthcare (VBHC) on the Adoption and Development of Health Technologies in Private Healthcare Facilities
Value-Based Healthcare (VBHC) Health Technologies Private Healthcare Facilities Institutional Readiness
Isolation of Bacteria from River Water and Drinking Water: A Comparative Study in Nasiriyah City
This study aimed to isolate and identify bacteria present in river water and drinking water sources in Nasiriyah city, Dhi Qar province. A total of 100 water samples were collected from four different sources (25 samples each): the Euphrates River (representing natural river water), tap water, bottled water, and reverse osmosis (RO) water (representing different drinking water sources). Laboratory examinations were conducted using traditional bacterial culture techniques and biochemical tests. Results showed the presence of various bacterial species in all studied water sources. The Euphrates River recorded the highest bacterial contamination level with an average of 800–5,200 CFU/ml, and RO water showed the lowest contamination level with <30 CFU/ml. Several pathogenic bacterial species were isolated, including Escherichia coli, Staphylococcus spp., and Pseudomonas aeruginosa. Statistical analysis revealed significant differences (p < 0.05) between bacterial counts in different water sources. The findings indicate the importance of regular water quality monitoring and the implementation of strict water safety standards, particularly for the Euphrates River and tap water. The study recommends improving water treatment systems and developing microbiological monitoring programs for water in the region.
Bacterial isolation River water Drinking water Nasiriyah RO water
Distribution of ABO Blood Groups and Resus Factor (RH) among population in the Tobruk city/ LIBYA. (East of Libya).
In genetics and clinical research, ABO blood types and the Rhesus (Rh) factor play significant roles in human biology. It has been reported that different populations around the world have different distributions of ABO and Rhesus factor (Rh). This investigation aims to ascertain the distribution of ABO and Rhesus blood groups among the population of Tobruk, Libya. The study population comprised 854 subjects, aged 17 and 80 years, who were donors and presented at the Blood Bank in Tobruk City, Libya. The sample consisted of 427 males and 427 females. The investigation was conducted from August 2023 to March 2024.The results showed that the percentage of blood groups O, A, B and AB among the studiedpopulation was 35.8, 33.2%, 23.2% and 7.8% respectively. Only 11.3%of them were found to be rhesus negative.
ABO Blood group Rhesus (Rh) Tobruk Libya
Copyright (c) 2025 International Innovations Journal of Applied Science https://creativecommons.org/licenses/by/4.0
The Rate and Variety Of Birth Defects In Newborns At Babylon Teaching Hospital For Maternity And Children For The Period (2022-2023)
Birth defects refer to structural changes that appear at birth and can affect any part or parts of the body, such as the heart, brain, or feet and represent an important health issue globally , impacting several millions newborns each year. Of these, 3.3 million die when they reaching the five age, while 3.2 million experience somatic or mind disabilities. Understanding the various causes of these anomalies is crucial to enable effective healthcare management and intervention. The objective was to assess the frequency and variety of birth defects in newborns in Hilla City from 2022 to 2023.A descriptive design to examine and describe the variables and their interrelationships related to birth defects in newborns in Hilla City from 2022 to 2023.. In 2022 and 2023 years , a total of 5,034 newborns were delivered among them, 60 were detected with birth defects, resulting in a rate of 1.19%. The predominant malformations involved in 2022 were Multiple Congenital malformations (56.52%) and Down's syndrome (13.04%) while in 2023 the predominant malformation involved Multiple Congenital malformations (59.46%) followed by Congenital heart disease (18.92%). An association was found between maternal age and birth defects, with a p-value of <0.05. Additionally, newborn gender was also related to the occurrence of birth defects, with a p-value of <0.05.The research suggests that advancing maternal age is linked to an elevated risk of congenital abnormalities. Consistent prenatal care and diagnostic testing are advised to support prevention, early detection, and, when needed, planned termination.
Birth defects Anomalies Malformations Frequency Congenital
Design of a sustainable biofilter to remove pollutants from well water using chitosan, date pits, zeolite and orange peels
This study aims to evaluate the efficiency of a low-cost bio-based water filter composed of natural materials (chitosan, zeolite, date seed powder, and orange peel powder) in improving the quality of groundwater from wells in the Nineveh Plain to meet the national drinking water standards. Physical and chemical analyses were conducted before and after filtration, including pH, electrical conductivity (EC), turbidity, major ions, heavy metals, and chemical oxygen demand (COD).The results showed a significant reduction in contaminant levels after treatment, with removal efficiencies ranging from 35% to 83% depending on the parameter. The highest removals were observed for heavy metals such as copper (83%), zinc (81%), and iron (83%), along with a COD reduction of up to 82%. Total dissolved solids and turbidity were also notably decreased, and most final values complied with the permissible limits.These findings demonstrate that the proposed bio-based water filter is an effective, sustainable, and affordable solution for areas with limited resources and high-water contamination levels. It is recommended to implement this design in rural communities and to further develop it by adding disinfection layers or optimizing contact time to enhance performance
Bio-water filter, Groundwater treatment , Al-Hamdaniya wells, Physicochemical properties , Sustainable water purification
Bitcoin's impact on oil and gas prices: Historical analysis and outlook to 2026
Public spending is one of the most important pillars for achieving growth, so the research looked to analyze the impact of future technological development on oil prices because of its pivotal role in politics and economics at the international level through the speed of transactions, reducing some costs, and enhancing security and transparency in digital monetary transactions. Oil prices represent the most important axis for competing international interests in the political, military and economic fields, expanding trade and facilitating access to global markets. In light of the current global challenges, strategic decision-makers must shed light on the impact of digital technological monetary development on the implementation of oil policies, and put forward possible solutions to enhance this development, to employ digital cash as an effective tool in enhancing its international influence in oil wealth and to ensure the success of its application in the future. We defined what digital currencies are and their use as a form of future currencies and what are the challenges we face using the term “digital currency”. The hypothesis was that as a result of market fluctuations and regulatory forms, it has become commonplace as a basis for technology to use the decentralized record of global payments, websites, and data security and safety. As a result, financial centers around the world are turning to virtual digital currency. And linking oil and gas buying and selling transactions to Bitcoins and abandoning paper transactions and the dollar. The price of a barrel becomes contingent on the price of Bitcoin.
Oil and gas prices Evolution and Impact Bitcoin
Classification Users' Sentiments About The Threads Application Using Machine And Deep Learning
Sentiment analysis is a crucial tool in our data-driven world. It is considered Sentiment analysis is an important topic in the field of natural language processing(NLP). With the increasing volume of text data flowing through social media platforms and review sites. Through it, users' opinions and feelings about a specific product or topic can be understood and these comments can be analyzed into negative, good, and neutral. Our study aims to classify the opinions and feelings of twitter users about one of Meta's applications, which is the (Thread) application, using machine learning algorithms and deep learning networks. The dataset was obtained from the largest data collection is from the (Kaggle) website, as this data set contains reviews of application users. Using recurrent neural networks that have shown good results compared to machine learning algorithms. Satisfactory results were obtained according to the evaluation metrics used is (Confusion matrix,F1-score ,Accuracy, Precision and Recall). This study contributes to the field of natural language processing by providing insights into users' experiences with the Thread app. These findings enable app developers to understand user perceptions and improve their experience. Using sentiment analysis enables companies to understand what customers are saying about their products and services, helping them accurately identify strengths and weaknesses.
Evaluation of the effectiveness of chitosan and Threonine in protecting tomato plants from root and stem rot disease caused by the fungus Fusarium solani
The aim of the study was to protect tomato plants from root and stem rot disease caused by the fungus Fusarium solani under test using regular chitosan and threonine (Thr) at concentrations of 0.5, 1.0, 1.5, and 2.0 g L-1 for each. This was done by measuring the intensity of certain growth parameters and peroxidase activity. Compared with the control treatment, the results showed that all plant treatments, including chitosan and threonine, protected tomato plants by inducing systemic resistance to root and stem rot disease. The plant defense mechanisms were activated as evidenced by increased peroxidase activity, which typically results in growth parameters such as increased length and weight of both fresh and dry vegetable groups with statistically significant differences compared to the pathogenic fungus treatment.
Root and stem rot disease, Fusarium solani, Chitosan, Threonine.
Association between Postural Disorders and Temporomandibular Dysfunction among Dental Students: A Cross-Sectional Study
Temporomandibular dysfunction includes conditions that impact the jaw joint and surrounding muscles. Their facial expressions show different kinds of pain, trouble moving their jaw, making noises at joints, or having headaches. Several elements could contribute to their display, such as posture discrepancies. This research aimed to determine how common temporomandibular joint disorders were among dental students during their clinical training at our faculty, and to examine if there is a connection between these conditions and specific posture issues. A cross-sectional descriptive study was conducted by administering a self-completed electronic questionnaire that included both a physical examination of the mouth and posture analysis. The findings show that there is often an issue with TMJ in this group of students, and some connections exist between posture problems like shoulder unbalance and joint discomfort. Data show that managing TMD requires considering posture alongside other disciplines. This approach ensures accurate diagnosis and ongoing care
Temporomandibular Dysfunction Postural disorders Dental Students Dentistry Problems Pain
Artificial Intelligence Applications in Modern Electrical and Communication Systems: Enhancing Efficiency, Reliability, and Automation
In recent years, Artificial Intelligence (AI) has emerged as a transformative force across various engineering disciplines, particularly in electrical and communication systems. This research explores the integration of AI technologies—such as machine learning, deep learning, and neural networks—into modern electrical and telecommunication infrastructures to enhance performance, reliability, and automation. The study begins by outlining the theoretical foundations of AI and its synergy with engineering systems. It then investigates practical applications such as smart grid optimization, predictive maintenance in electrical equipment, signal processing enhancement, and automated network management in wireless communication. Moreover, the research addresses how AI contributes to real-time fault detection, resource allocation, and energy consumption forecasting, all of which are crucial for efficient system operation. The importance of this research lies in its interdisciplinary nature, as it bridges the gap between advanced computational methods and real-world engineering problems. The study identifies key challenges in AI implementation, including data quality, computational requirements, and algorithm transparency. The findings suggest that the strategic adoption of AI technologies can significantly improve system efficiency, reduce operational costs, and enable autonomous decision-making, making it an essential component of future engineering systems in both the electrical and communication domains.
Artificial Intelligence, Electrical Engineering, Communication Systems, Predictive Maintenance, Ethical AI
Measuring the concentration of radon in the soil of some schools in Misan Governorate, southern Iraq, using the nuclear trace detector CR-39
The nuclear trace detector (CR-39) was used to study the environmental pollution resulting from nuclear radiation in the soil of sites representing schools in Missan Governorate. Samples were taken for (12) samples from the regions, which are (the new neighborhood of teachers, Al-Kahla, Awasha, Qalaat Saleh, the old Hussein neighborhood, the old teachers’ neighborhood, Dur Al-Naft, Al-Majidiyah, Maghribeh, Al-Musharrah, Al-Uzair, Al-Qadisiyah). The gas concentration rate was determined The results obtained showed that the highest concentration rate of radon gas was in the Maghrabi region (4.0792 Bq.m-3), followed by the Majdiyah region, where the concentration rate was (2.5859 Bq.m-3). Then the area (Dour Al-Naft, Al-Mushrah, Al-Uzair) where the concentration rate was (2.3269 Bq.m-3) and then the area (New Al-Moallem District, Al-Moallem Al-Old District, Al-Hussein Al-Qadim District, Qalaat Saleh) where the average concentration was (1.6359). Bq.m-3) and then (Al-Kahla, Al-Qadisiyah, Awasha) where the average concentration was (0.6312 Bq.m-3). It is clear that the radon gas pollution in the Maghreb region is more than the rest of the regions.
Soil Radon gas Nuclear Impact Detector Impact intensity Soil Samples
Enhancing The Controller Of Western Mountain Power Plant Effectiveness By Managing The System Step Response To Abrupt Load Fluctuations
This paper presents one of the most accurate, stable, and fast-response modern control models, which is considered one of the special cases of closed-loop control systems known as the (PID controller) system, which is a proportional-integral-differential control system, through which different forms of control modes were presented and compared. The response of the sub-patterns of the plant governor was shown and how to benefit from these results in the precise control of the frequency of the generated power to achieve system stability as quickly as possible, in addition to programming it to be a controller of the type of programmable logical controllers (PLCs) with one of the control programs for monitoring and data acquisition for the speed and load controller inside the gas turbine station (GT). The main role of the programmable controller program (PLC) was simulated using the (PID controller) in the MATLAB program to calibrate the controller as a type of controller in Supervisory Control and Data Acquisition (SCADA). The results were shown in the form of logical graphic curves representing the speed response to the sudden change in the load added to the network according to the total power generated where the accuracy of PID in the response results makes this application an integrated system that can be formed as a basic structure for many practical applications.
Closed-loop control system, Generated power frequency, System stability.
هندسة تحكم و تحويل و نقل القدرة و الاتصالات
The contribution of mathematical reasoning to the teaching-learning of recurrent algorithms and recursion
This article is interested in the teaching and learning of the notions recurrent algorithm and recursion in the 4thyear secondary school class, computer science section. Our main aim is to identify the difficulties and obstacles encountered by students when introducing these concepts in computer science classes. This work has enabled us to obtain several results, the most important of which relate to the complexity of these concepts, the fundamental link between algorithms and mathematical problem solving never being clearly explained in the new Computer Science curricula and the wide variety of formulations and limited understanding of the treatment of recurrent algorithms.
mathematical reasoning, mathematical induction, recurrent algorithm, algorithmical approach, recursion.
تعليمية الرياضيات، مجال التخصص؛ المنطق والتفكير الرياضي.
Detection Of Escherichia coli In Water Using Capacitance Biosensor
Pathogenic bacteria that are the main causative agent for biological contamination of water have always posed one of the most serious threats to public health, and continue to be specifically dangerous with the rise in antibiotic resistance. The incidence of these infectious agents needs rapid, point-of-care and real-time sensors for their detection and monitoring. Therefore, continuous real-time monitoring provides better microbiological control of the water and helps prevent contaminated water from reaching the households. In this research we have developed a method to detect E.coli (Escherichia coli) bacteria in water depending upon a large scale capacitance biosensor in the presence and absence of E.coli cells. First we show that the sensor is able to detect E. coli (Gram-negative) bacteria in water samples. Next, we demonstrate the sensor’s ability to measure the bacteria concentration suspended in water sample by comparing the results to those obtained by the traditional measurement using spectrophotometer. The results determine a correlation between the capacitance measurement and the real bacterial concentration which indicate an inversely relationship between the bacterial concentration and the capacitance measurement. Our investigations show that the capacitance biosensor has the potential to be extremely effective at detecting sudden bacterial contaminations found in drinking water in real-time and it is promising for the low-cost monitoring of bacterial growth and the detection of specific E.coli concentration due to the consistency and ease-of-use of capacitance measurements.
Capacitance biosensors, Capacitance measuring circuit, E.Coli, Concentration ,Water contamination, Bacteria detection
Isolation and Characterization Of Multidrug Resistant E.coli and S.aureus From Selected Poultry Farms in Palestine
Poultry is one of the world’s fastest-growing sources of meat. As a result, antibiotics are increasingly being used to treat diseased hens and even to prevent infectious bacterial diseases, as well as growth promoters in diets at sub-therapeutic levels. This Inappropriate and indiscriminate usage of antibiotics results in the development of antibiotic-resistant bacteria. As a result, there is a growing public and governmental interest in phasing out inappropriate antibiotic usage in animal husbandry because of growing global worries that resistance bacteria can pass from animals to humans. There are concerns that these resistant bacteria will spread to communities around these enterprises. The presence of antibiotic-resistant bacteria (ARB) and antibiotic-resistant genes (ARGs) in water sources and drinking water can harm poultry and human health, and it is a growing concern in the drinking water sector and a major public issue. Several antibiotic-resistant bacteria were found in poultry like Klebsiella, Shigella, E.coli, Staphylococcus aureus and epidermidis, Morexella, Neisseria, Clostridium, Salmonella, Brucella, Enterobacter, and Bordetella. Some of these bacteria are sourced from water but not others which may arise from other sources like soil, contaminated equipment, air, food, transported with flies, or direct contact with a diseased animal. However, in this study, we focused on MDR E.coli and S. aureus. The best antibiotics recommended for usage against the growth of bacteria were Ceftriaxone٫ Sulfamethoxazole and Ceftazidime because they produce synergism when used together.
MDR bacteria, Poultry, Antibiotics, Antibiotic resistant bacteria, Drinking water, Resistant, Sensitivity.
Applied Biology Program, Department of Applied Chemistry and Biology, College of Applied Science, Palestine Polytechnic University
Evaluation the role of laminin α1 in wound healing of skin mice by using Immunohistochemical assessment.
Wound healing is a process through which the skin and subcutaneous tissue restore itself after it has been injured wound healing can be illustrated in a progression of physical characteristics (phases) that constitute the post-trauma repairing process. Aim: To know and evaluate the role of laminin α1 during the process of wound healing in the skin according to days of wound injuries. Materials & Methods: Thirty-two male mice, about 3-6 months, were divided into four groups according to days of wound injury. Each group has eight mice. Group (A) collects specimens on the first day of injury. Group (B) after one week of injury. Group (C) after two weeks. Group (D) control group collects specimens without injury. Tissue Sections were treated with laminin α1. Used Aperio Scope software to assess immunohistochemical reactivity. For statistical analysis used SPSS program. Results: immunohistochemical study reveals group (A) animals a very low expression laminin α1 at (0.15±0.008pixel/(micron)2) compared with group (B) showing high expression laminin α1 after one week at (0.69±0.02pixel/(micron)2). group (C) show week expression laminin α1 after two weeks (14day) at (0.39±0.02pixel/(micron)2). In group (D) (control group) expression of laminin α1 at (0.36±0.01pixel/(micron)2). Conclusion: the laminin α1 protein has an important role during injury healing, through significantly elevated lamininα1in the first week and beginning to descend at the end of the second week. Can be used this timing as a guideline for injection or topical use of laminin α1 to promote wound healing after injury.
New properties of a subclass for a multivalent meromorphic functions with an operator
We note in this study that we have calculated the Rafid- operator on the multivalent meromorphic functions that belong to the class and which is as in . On the punctured unit desk . Introduced defined a Rafid operator by (Atshan et al., (2011)) and also ( Rosy et al. (2013)) studied the same operator on the univalent meromorphic function. Now in this research we studied this operator on the multivalent meromorphic function and we obtain. if an operator which is as in defined , and after entering the operator on the above functions in , we get a new functions . We also introduce a new subclass for these functions with this operator and obtain the necessary and sufficient condition for functions to belong to this class. We also obtain new results for several properties of these functions in , including closed under arithmetic mean , closed under the combinations of convex linear and functions. These results are related to complex analysis in the theory of geometric functions.
Design a program to install Windows programs via wireless networks
Any network may be vulnerable to unauthorized access to Equipment, Data that Network operations are some measures that help maintain network security - Proper training of users to deal with security procedures -Ensuring the security of equipment and the difficulty of accessing it by unauthorized people -Protecting copper wires and hiding them from sight because they may be vulnerable to spying -Encrypting data when needed - Providing users with devices that do not contain floppy or compressed disk drives or even hard disks, and these devices connect to servers using a ROM Boot Chip and when these devices are turned on, the server loads the boot program into the device's RAM to start working. Giving permissions - for users to access data and equipment, each according to the nature of his work, and in this case, data and equipment must be shared to allow others to use it. In the second system, rights are assigned and permissions are given to each user or group of users. This system is considered more secure than the previous system and gives the network administrator greater control over each user. When entering the name and password, this information is passed to the Security Accounts Manager (SAM). If the entry is to a Workstation device, the information is compared with the local security accounts database on the device. If the entry is to a Domain, the information is sent to the SAM server, which compares it with the Domain accounts database. If the username or password is invalid, the user is prevented from entering the system. If they are correct, the security subsystem issues an access card. The system identifies the user for the period of his entry
windows, wireless networks install program servers
Exploring the Transformative Impact of AI Chatbots on Customer Service: Efficiency, Engagement, and Conversions Across Industries
AI chatbots are transforming customer service by enhancing efficiency, personalization, and accessibility across various industries. This study examined the effectiveness of AI chatbot solutions within three sectors: government services, higher education, e-commerce platforms. Notable benefits included faster response times, which increased trust in government services; substantial cost savings of 70% paired with improved multilingual support for educational institutions; and a 40% increase in customer engagement resulting in a 25% rise in conversion rates within the e-commerce sector. The findings of this research underscore the significant role of AI chatbots in enhancing operational efficiency, user satisfaction, and service quality across various industries, ultimately driving higher conversion rates. These advancements highlight the growing necessity for businesses to adopt AI-driven tools to remain competitive and meet evolving user expectations
Artificial Intelligence and Machine Learning
The Efficacy of the Supplementation of Selenium on the Semen Quality and Serum Concentrations of IL-6 and TNF-α in Infertile Men
Normal sperm quality is essential for male fertility, yet approximately 20% of couples experience infertility attributable to male factors, defined as failure to achieve conception after one year of regular unprotected intercourse. Elevated levels of pro-inflammatory cytokines have been closely associated with male infertility, while selenium, owing to its antioxidant properties, may protect cells from oxidative stress and inflammation and improve semen quality. This study aimed to evaluate the effect of selenium supplementation on sperm quality and inflammatory markers, including tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and C-reactive protein (CRP), in infertile men. A follow-up study was conducted at a private urology clinic in Baghdad, Iraq, involving 25 infertile men who received a daily dose of 200 mg of selenium for three months, from January to March 2024. Semen analysis and measurements of TNF-α, IL-6, and CRP were performed before and after treatment. The results demonstrated that infertile men exhibited significantly lower semen parameters and higher inflammatory marker levels compared to the control group prior to treatment. Following selenium supplementation, a significant reduction in TNF-α, IL-6, and CRP levels was observed, accompanied by a marked improvement in semen parameters. These findings indicate that selenium supplementation effectively reduces inflammatory responses and enhances sperm quality, supporting its potential therapeutic role in the management of male infertility.
Selenium, Male Infertility inflammatory Cytokines Semen Analysis
PHYSIOLOGY, IMMUNITY, PATHOPYSIOLOGY, BIOCHEMESTRY
The Role of Digital Atmosphere Design in Shaping Consumer Behaviour in Commercial Spaces
Attractive commercial space design fosters economic and cultural transformation while driving technological innovation. The study analyses innovative methods for digital atmospheres within commercial spaces. A digital atmosphere is vital for engaging customers in the retail experience. Interior designers create and innovate new concepts to develop and transform traditional displays into fluid, advanced, dynamic display techniques. The study uses the analytical descriptive approach to collect facts, theories, and information about the digital atmosphere, technology, and consumer behavior. The study's objective is to identify the digital elements that influence the shaping of designing display spaces. Hence, the significance of the study is to provide a vision of the digital atmosphere and its role in expanding the horizons of customer thinking and behavior and introducing new concepts. Studying digital commercial design concepts gives interior designers the tools to craft unique experiences. Therefore, the study is based on the impact of digital atmosphere design on consumer behavior in commercial spaces through the power of digital design to transform the concepts and trends of unconventional displays. The interior designer shall design creative and attractive environments, creating immersive experiences that inspire consumer engagement and new ideas in retail design. The research concludes a strong correlation between consumer behavior factors and digital atmosphere designs in commercial spaces.
Commercial Spaces Consumer Behavior Digital Atmosphere Interior Design Technology
Adsorption of Fe(III) using Fe3O4@MNPs modified with Silica through a simple and time-saving method: Optimization by RSM
This study aims to develop a simple method for preparing modified magnetic nanoparticles. This is created by preparing Fe3O4 nanoparticles modified with Silica (Fe3O4@MNPs@Silica) using a quick, simple, and easy solid-phase extraction approach for Fe(III) removal from aqueous solutions. This nanocomposite was characterized using FTIR, XRD, and SEM analysis. In this context the optimization of Fe(III) adsorption by silica-coated Fe3O4 nanoparticles was studied. The effects of various parameters such as pH, adsorbent dosage, initial concentration, and time on the adsorption process were investigated. It was found that the adsorption capacity of Fe(III) increased with increasing adsorbent dosage and initial concentration and decreased with increasing pH and time. The experimental adsorption conditions were optimized using Response Surface Methodology (RSM). Fe3O4@MNPs@Silica adsorbent has an adsorption capacity of 3.870 mmol-Fe(III) g–1, at pH = 2.5. This confirms a high affinity of Fe3O4@MNPs@Silica towards Fe(III).
Nanocomposite; Silica gel; Adsorption; Fe(III); Response Surface Methodology
WEB-SITE DESIGN (BEHAVIORAL + EDUCATIONAL) TO HELP AUTISUM CHILDRENDISORDER
Autism is a condition in which children have difficulties interacting with others or exhibit differences in how they interact with people. Children with Autism Spectrum Disorder (ASD) may respond well to web-based learning because computers can offer features such as repetition, visual stimuli, and independent interactions that appeal to them. However, there have been limited studies on websites (behavioral and educational), especially outside of institutional settings. The aim of this research is to assess the effectiveness of interactive digital programs used to teach individuals with learning difficulties, tailored to their capabilities and needs. Modern technology has provided interactive and educational opportunities through picture books. This research involves designing an educational website for children with autism, including a program to teach them basic concepts necessary for daily life, such as the Arabic alphabet, to enable them to form complete words and, consequently, complete sentences. Additionally, the program teaches numbers, enabling children to count and perform arithmetic problems such as counting money and telling time. The main interface page displays eight images that change every seven seconds automatically or via navigation links on the right and left sides of the image. A six-page website was designed, covering topics such as what autism is, symptoms, diagnosis, and more. Web technologies were utilized in the website design, with HTML as the primary language. To analyze some aspects of this study's results, the use of the computer screen is intended to capture the autistic child's attention, helping them remain in one place and stay focused on the screen for as long as possible. If a mother or female teacher can keep a child engaged with the screen for 5-10 minutes, it is considered a significant achievement.
Website design, Autism, Nero-linguistic programing, Children with autism.
Copyright (c) 2024 International Innovations Journal of Applied Science https://creativecommons.org/licenses/by/4.0
Study of Some Physical and Chemical Properties of Bottled Zamzam Water
This study aims to measure certain physical and chemical properties of bottled Zamzam water and compare them with national and international standards for drinking water. Samples of bottled Zamzam water were collected from the Makkah Al-Mukarramah region. Laboratory analyses were conducted at the National Water Company laboratories in Al-Jouf, Saudi Arabia. The average results obtained for the physical measurements were as follows: pH (7.930), total dissolved solids (TDS) (864.66 mg/l), total alkalinity (T.Alka) (230.00 mg/l), total hardness (T.H) (300.0 mg/l), electrical conductivity (E.C) (1296.00 µs/cm), and turbidity (Tur) (1.28 NTU). For chemical properties (cations), the average concentrations in mg/L were: magnesium (Mg2+ 120), calcium (Ca2+ 180), manganese (Mn2+ 0.106), and iron (Fe2+ 0.11). For anions in mg/L, the average concentrations were: fluoride (F- 0.94), chloride (Cl- 128), nitrite (NO2- 0.0223), nitrate (NO3- 46.26), and sulfate (SO42- 78.66). The results obtained from this study were compared with Saudi, Jordanian, and World Health Organization standards for drinking water, as well as some published studies. The study showed good agreement with these standards. Based on the results obtained, the study recommends analyzing the remaining chemical properties and studying the biological activity of bottled Zamzam water against bacteria and fungi.
Drinking water, Zamzam water, physical measurements, chemical measurements
AI-Driven Security Paradigms: Elevating Cloud Protection with Machine Learning
In the literature, some studies have explored classifying network traffic using Long Short-Term Memory (LSTM) networks to enhance cloud security. We analyzed a dataset—BCCC—that includes various types of network traffic: Benign, Benign-Email-Receive, Benign-Email-Send, Benign-FTP, Benign-SSH, Benign-Systemic, Benign-Telnet, and Benign-Web_Browsing_HTTP-S. Key features examined include fwd_ack_flag_percentage_in_fwd_packets, fwd_ack_flag_percentage_in_total, min_fwd_header_bytes_delta_len, and handshake_duration. The model performed well in detecting the Benign class, but some classes with fewer samples, such as Benign-FTP and Benign-Email-Receive, require improved precision and recall due to class imbalance. Overall, the model’s performance in classifying network traffic is strong. This research outlines strategies for addressing class imbalance and refining feature engineering. It provides a foundation for further, more detailed investigations into AI approaches for network traffic classification, highlighting the importance of sample balancing to achieve high accuracy.