Digital Commons Network^™

Seasonal Changes In Forage Quality Of C3 Grasses On Sagebrush Grassland, H F. Mayland, G E. Shewmaker

IGC Proceedings (1977-2023)

Annual and perennial grasses growing in the semiarid, west-central North American continent mature by early to midsummer. Forage mineral concentrations in these C-3 grasses decrease curvilinearly as the season advances from day of year (DOY) 75 to 300. Total digestible dry matter (TDDM) and digestible cell wall (DCW) decrease linearly with DOY while neutral detergent fiber (NDF) increases curvilinearly. By midsummer; energy, N, P, and Zn usually become deficient for ruminant nutrition.

Nitrogen Fertilizer Effects Upon Silage Composition And Quality Of Lolium Multiflorum, L., E M. Viviani Rossi, L M. Gutierrez, E Moreno, A Mazzanti

IGC Proceedings (1977-2023)

The objective of this study was to determine the ensiling properties of ryegrass (Lolium multiflorum L) fertilized with different doses of nitrogen. A pure ryegrass pasture was sown in March 1994 and six N doses (0, 50, 100, 150, 200 and 250 kg N.ha-1) were applied in August 1994. The lots were harvested 60 days after fertilization. The harvested material was chopped and stored for about 60 days in 5 l Polyvinyl chloride (PVC) laboratory silos, and replicated 3 times. Values of DM, IVDMD, TN, NDF, WSC, pH, NH3-N and Sol-N were determined. A completely randomized design was applied, …

Protein Degradability Effect And Supplementation Level On Pasture Utilization, A.V M. Franco, P De Andrade, G L. Franco

IGC Proceedings (1977-2023)

The objective was to determine the effect of protein degradability and supplement level on forage degradation. Steers fistulated were utilizated in brachiaria (Brachiaria brizantha) pasture. A randomized block design was used with a control treatment and supplements according to a factorial scheme combining low, medium and high protein degradability with supplementation levels: low, medium and high analysed as principal treatments and incubation time as splitplot by SAS. Nylon bags were incubated at 4; 8; 12; 24; 48; 72; 96 and 120 hours to determine DM, CP and NDF degradation. There was no effect (P>0.05) of protein degradability …

Breeding To Improve Yield And Quality In Napiergrass, Y K. Cheng, C S. Chen

IGC Proceedings (1977-2023)

The breeding program has been conducted to improve the production and quality of napiergrass by crossing with related species or intraspecies. CV. TLG2 with high yields and water soluble carbohydrates have been selected and released. It produced 20% more forage yields and water soluble carbohydrates than cultivar, CV. A146 and persisted well at least for five years. Good silage was obtained when the CV. TLG2 was harvested at the right time. Milking ability is improved by use of silage and/or green chopping whole year round.

Use Of Nir To Estimate Nitrogen Degradability Of Forage, R Agneeseens, P Dardenne, Ph Lecomte

IGC Proceedings (1977-2023)

Near infra red spectrometry (NIRS) is commonly used to characterise animal feeds at the level of their intrinsic composition (dry matter, protein, fat, fiber) as well of their digestibility (Dardenne et al.,1991). The use of new systems in the evaluation of the protein value has induced the necessity to determine parameters such as the theoretical ruminal degradability of nitrogen (DT).

The definition of this criterion necessitates the implementation of the nylon bag technique which is time consuming and costly and is reserved to reference laboratories. An alternative to this technique, based on an enzymatic hydrolysis of the proteinic content, has …

Energetic Feed Value Of Grassland Products In Ruminants, A Chudy

IGC Proceedings (1977-2023)

A method for calculating the energetic feed value, based on the digestible nutrients and on the relations of the utilisation of the energy of the nutrients (carbohydrates = 100) for ATP syntheses is described. This relative scale is a nominal feed value (NFV). It characterises the ATP potential of the feedstuffs and is therefore equivalent to the efficiency of utilisation of the feed energy in the catabolic metabolism (non-thermal maintenance, muscular work (movement)) and energy costs for syntheses as well as the productive performance as energy retention in animal products. Therefore this scale secures a precise precognition of the animal …

Assessment Of Postural Stability Of 14-Year-Old Girls Training Volleyball, Robert Walaszek, Wiesław Chwała, Katarzyna Burdacka, Marcin Burdacki, Paweł Kurowski

Baltic Journal of Health and Physical Activity

Introduction: Measurements of postural stability are carried out for the prevention of injuries and for rehabilitation of athletes who have sustained traumatic injuries. The aim of the study was to assess postural stability measured in static and dynamic conditions in 14-year-old girls, of whom some were training volleyball, and some were not. Materials and Methods: The study involved a group of 30 girls aged 14, attending volleyball classes. This group was compared with the control group (n = 30) of girls of the same age who regularly participated only in regular physical education (PE) classes. The tests were conducted twice. …

Quality Improvement In Healthcare: A Practical Guide For Providers (Part 4), Jeremy Ellis

Transformative Medicine

No abstract provided.

Direct Oral Anticoagulants: A Review For Health Care Providers, Mary Hoang, Maley Zents, Christina Swiger, Emily Wagner

Transformative Medicine

Direct oral anticoagulants (DOACs) are a novel class of anticoagulants. They include rivaroxaban, apixaban, edoxaban, and dabigatran. Benefits of DOACs over many older anticoagulants include oral administration, quicker onset of action, less monitoring requirements, and fewer drug interactions. Since the DOACs were first introduced, their use has increased tremendously. This article aims to help providers become more familiar with DOACs and the specific factors that may impact prescribing practices. Several drugs used for the reversal of DOACs will also be discussed. Lastly, the article will describe certain situations in which warfarin is preferred over DOACs.

Understanding And Managing Right Bundle Branch Block, Muhammad Mohsin Zafar, Muhammad Asad Hanif, Tayyab Ali Waheed, Aniruddha Singh

Transformative Medicine

No abstract provided.

Small Intestinal Bacterial Overgrowth, Sandesh R. Parajuli, Anish C. Paudel, Anthony Donato

Transformative Medicine

No abstract provided.

Examining The Mental Health Impact: Investigating The Association Between Suicide And Long Covid Syndrome, Nicole Ann E. Villa, Gina Maria P. Fiore, Eduardo Espiridion

Transformative Medicine

Since its emergence in late 2019, Covid-19 has had many devastating economic, social, mental, and physical health consequences and caused millions of deaths worldwide over the course of the pandemic. While most cases are mild and symptoms resolve within a couple of weeks, some Covid patients' symptoms can last for multiple weeks, months, or even years after contracting the virus, and these long-lasting symptoms have been identified as Long-Covid. Psychiatric symptoms have been associated with Long-Covid in addition to physical symptoms, and impaired cognitive functioning, sleep abnormalities, depression, anxiety, PTSD, and psychosis have been observed in Long-Covid patients. Given the …

Mortality And Comorbidities Associated With Covid-19 Infection In Psychiatric Patients From A State Hospital, Nicole Ann E. Villa, Matthew Driben, Regina Reed, Maria Yee, Eduardo Espiridion

Transformative Medicine

Introduction: Coronavirus (COVID-19) infection has spread globally and resulted in more than one million deaths in the US as of July 2023, where it has been more severe in psychiatric wards. State hospitals are a particularly transmissible location for COVID-19, and the medications that psychiatric patients typically utilize may contribute to the incidence of comorbidities including obesity, hypertension, and diabetes. Studies have found that patients with preexisting mental health disorders and comorbidities tend to have worse COVID-19 outcomes. Thus, we examine the mortality and comorbidity rate of patients, and discuss how psychiatric medications may contribute to the risk of …

Pictorial Key-Pad, Colin Hilton

Defensive Publications Series

Despite advances in biometric access to smartphones and tablets, passcodes are set to remain in use due to their simplicity and accessibility. Means of inputting passcodes using numerical keypads has proven to be vulnerable, however, to fraudulent access. The methods here leverage the increased size and resolution of screens to implement a more secure way to encode both personal identification numbers and passcodes.

The Transgenerational Transmission Of Physical Attractiveness Perceptions: Role Of Parents' Physical Activity And Nutrition Habits In Modelling Body-Focused Health Attitudes And Body Shape Perception In Five-Year-Old Offspring, Agata Kamionka, Mariusz Lipowski, Sebastian Lizińczyk, Urszula Sajewicz-Radtke, Bartosz Radtke, Ariadna Łada-Maśko, Dariusz Olszewski-Strzyżowski, Małgorzata Lipowska

Baltic Journal of Health and Physical Activity

Introduction: Observing parents’ body-focused behaviours during middle childhood is one of the initial ways in which children model their perceptions of pro-health attitudes and their connection to physical attractiveness. This study aimed to investigate the relationship between parents' health behaviours, their appearance, and the perceptions of adult body types (skinny, medium, obese) by their five-year-old children. Moreover, the role of gender in the above relationship for both children and parents was also examined. Materials and methods: This study participants were 680 families with five-year-old children (330 girls). Participation was limited to the moth-er-father-child triad. The Beauty and Health Scale, Healthy …

Unraveling The Versatility And Impact Of Multi-Objective Optimization: Algorithms, Applications, And Trends For Solving Complex Real-World Problems, Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid, A. Salih

Journal of Soft Computing and Computer Applications

Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent years due to their potential for solving real-world problems in various fields, such as logistics, finance, environmental management, and engineering. These techniques offer comprehensive solutions that traditional single-objective approaches fail to provide. Due to the many innovative algorithms, it has been challenging for researchers to choose the optimal algorithms for solving their problems. This paper examines recently developed MOO-based algorithms. MOO is introduced along with Pareto optimality and trade-off analysis. In real-world case studies, MOO algorithms address complicated decision-making challenges. This paper examines algorithmic methods, applications, trends, and issues in …

Optimization Of Resources Allocation Using Evolutionary Deep Learning, Sanaa Ali Jabber, Soukaena H. Hashem, Shatha H. Jafer

Journal of Soft Computing and Computer Applications

The Bidirectional Long Short-Term Memory (Bi-LSTM) network structure enables data analysis, enhances decision-making processes, and optimizes resource allocation in cloud computing systems. However, achieving peak network performance relies heavily on choosing the hyperparameters for configuring the network. Enhancing resource allocation improves the Service Level Agreement (SLA) by ensuring efficient utilization and allocation of computational resources based on dynamic workload demands. This paper proposes an approach that integrates a Multi-Objective Evolutionary Algorithm (MOEA) with deep learning techniques to address this challenge. This approach combines the optimization capabilities of MOEA with the learning predictive models to establish a framework for resource allocation …

Face Mask Detection Based On Deep Learning: A Review, Shahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas. A. Abdullatif

Journal of Soft Computing and Computer Applications

The coronavirus disease 2019 outbreak caused widespread disruption. The World Health Organization has recommended wearing face masks, along with other public health measures, such as social distancing, following medical guidelines, and thermal scanning, to reduce transmission, reduce the burden on healthcare systems, and protect population groups. However, wearing a mask, which acts as a barrier or shield to reduce transmission of infection from infected individuals, hides most facial features, such as the nose, mouth, and chin, on which face detection systems depend, which leads to the weakness of these systems. This paper aims to provide essential insights for researchers and …

Strangeness Detection From Crowded Video Scenes By Hand-Crafted And Deep Learning Features, Ali A. Hussan, Shaimaa H. Shaker, Akbas Ezaldeen Ali

Journal of Soft Computing and Computer Applications

Video anomaly detection is one of the trickiest issues in intelligent video surveillance because of the complexity of real data and the hazy definition of anomalies. Since abnormal occurrences typically seem different from normal events and move differently. The global optical flow was determined with the maximum accuracy and speed using the Farneback approach for calculating the magnitudes. Two approaches have been used in this study to detect strangeness in the video. These approaches are Deep Learning (DL) and manuality. The first method uses the activity map's development of entropy to detect the oddity in the video using a particular …

A Comprehensive Analysis Of Deep Learning And Swarm Intelligence Techniques To Enhance Vehicular Ad-Hoc Network Performance, Hussein K. Abdul Atheem, Israa T. Ali, Faiz A. Al Alawy

Journal of Soft Computing and Computer Applications

The primary elements of Intelligent Transportation Systems (ITSs) have become Vehicular Ad-hoc NETworks (VANETs), allowing communication between the infrastructure environment and vehicles. The large amount of data gathered by connected vehicles has simplified how Deep Learning (DL) techniques are applied in VANETs. DL is a subfield of artificial intelligence that provides improved learning algorithms able to analyzing and process complex and heterogeneous data. This study explains the power of DL in VANETs, considering applications like decision-making, vehicle localization, anomaly detection, traffic prediction and intelligent routing, various types of DL, including Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs) are …

A Novel Approach To Generate Dynamic S-Box For Lightweight Cryptography Based On The 3d Hindmarsh Rose Model, Ala'a Talib Khudhair, Abeer Tariq Maolood, Ekhlas Khalaf Gbashi

Journal of Soft Computing and Computer Applications

In lightweight cryptography, the absence of an S-Box in some algorithms like speck, Tiny Encryption Algorithm, or the presence of a fixed S-Box in others like Advanced Encryption Standard can make them more vulnerable to attacks. This study introduces an innovative method for creating a dynamic 6-bit S-Box (8×8) in octal format. The generating process of S-Box passes through two phases. The first is the number initialization phase. This phase involves generating sequence numbers 1, sequence numbers 2, and sequence numbers 3 depending on X_i, Y_i, and Z_i values generated using the 3D Hindmarsh …

The Robust Digital Video Watermarking Methods: A Comparative Study, Ebtehal Talib, Abeer Salim Jamil, Nidaa Flaih Hassan, Muhammad Ehsan Rana

Journal of Soft Computing and Computer Applications

Digital data such as images, audio, and video have become widely available since the invention of the Internet. Due to the ease of access to this multimedia, challenges such as content authentication, security, copyright protection, and ownership determination arose. In this paper, an explanation of watermark techniques, embedding, and extraction methods are provided. It further discusses the utilization of artificial intelligence methods and conversion of host media from the spatial domain to the frequency domain; these methods aim to improve the quality of watermarks. This paper also included a classification of the basic characteristics of the digital watermark and the …

Foxann: A Method For Boosting Neural Network Performance, Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid, S. Vimal

Journal of Soft Computing and Computer Applications

Artificial neural networks play a crucial role in machine learning and there is a need to improve their performance. This paper presents FOXANN, a novel classification model that combines the recently developed Fox optimizer with ANN to solve ML problems. Fox optimizer replaces the backpropagation algorithm in ANN; optimizes synaptic weights; and achieves high classification accuracy with a minimum loss, improved model generalization, and interpretability. The performance of FOXANN is evaluated on three standard datasets: Iris Flower, Breast Cancer Wisconsin, and Wine. The results presented in this paper are derived from 100 epochs using 10-fold cross-validation, ensuring that all dataset …

Surveying Machine Learning In Cyberattack Datasets: A Comprehensive Analysis, Azhar F. Al-Zubidi, Alaa Kadhim Farhan, El-Sayed M. El-Kenawy

Journal of Soft Computing and Computer Applications

Cyberattacks have become one of the most significant security threats that have emerged in the last couple of years. It is imperative to comprehend such attacks; thus, analyzing various kinds of cyberattack datasets assists in constructing the precise intrusion detection models. This paper tries to analyze many of the available cyberattack datasets and compare them with many of the fields that are used to detect and predict cyberattack, like the Internet of Things (IoT) traffic-based, network traffic-based, cyber-physical system, and web traffic-based. In the present paper, an overview of each of them is provided, as well as the course of …

The Impact Of Material Selection On Acoustic Performance In Interior Design: A Scientific Investigation, Ahmed Salah Ahmed Mohamed, Ashraf Hussein Ibrahim, Doaa Abdel Rahman

Journal of Art, Design and Music

This holistic approach to design acknowledges that a space's functionality and comfort are influenced by a multitude of factors beyond its visual appearance. For instance, designers now pay close attention to acoustics to ensure optimal sound quality within a space, creating environments conducive to communication and concentration. They also consider lighting design to enhance mood, productivity, and overall well-being, while ensuring energy efficiency. Additionally, designers address the thermal environment by optimizing insulation, ventilation, and heating/cooling systems to create comfortable indoor climates year-round. By integrating these tangible and intangible elements seamlessly into the design process, designers can create spaces that not …

The Role Of Procedural Justice In Alleviating The Stress Of Role Conflict An Applied Study On The Members Of The Nursing Staff At Tripoli Medical Hospital In Libya, Almokhtar Almajdoubi

Al Jinan الجنان

This study aims to study the fairness of the procedures and the stress of the role of the nursing staff in Tripoli Medical Hospital in Libya, and determine the relative importance of the fairness of the procedures and their relevance to the pressures of the role struggle. In the Tripoli Medical Hospital. The researcher concluded that there is no significant effect between the fairness of the procedures and the role conflict. The results also showed significant differences between the perceptions of the nursing staff for the justice of procedures due to the following demographic variables (gender, age, Level of education, …

واقع الإدمان السلوكي, Rouba Awad

Al Jinan الجنان

This study aimed to focus on the reality of online behavioral addiction among the teenagers at the Technical Industrial Institute seeking to know the extent of their addiction, where the description survey method was used, and the study sample considered of (407). This study was used addiction behavioral scale according to cognitive behavioral “Davis” model for Generalized Problematic Internet Use Scale2 (GPIUS2), where the study found that the five fields are below the average which indicates the disagree of sample’s tendency about online behavioral addiction.

التداعيات النفسية, Wissal Al Halabi, Layal Rifaii

Al Jinan الجنان

The study aimed to explore the positive and negative psychological repercussions of digital assessment on secondary school students according to the gender variable. The study sample consisted of 240 students (150 females and 90 males) distributed over several high schools in Akkar Governorate from the public sector. Two tools were used for this research, the first is a questionnaire to study the level of frustration and stress during the digital assessment process consisting of 19 questions that are answered according to a triple scale (yes, no, sometimes), and the second tool is Sarson’s Exam Anxiety Scale after updating it to …

A Proposed Conception For Developing Skills Of The Twenty-First Century Among Graduate Students Of Mathematics, Ayed Ayed Alroyli, Mansour Samir Elseidy

Al Jinan الجنان

The study aimed to determine the twenty-first-century skills that postgraduate students in the faculties of education should possess, find out the extent to which they practice them, and present a suggested vision for developing their twenty-first-century skills. The research sample consisted of (90) students enrolled in the program from Northern Border University, Umm Al-Qura, and Banha University, where (48) represented the master's program, (42) represented the doctoral program. The research also found that the performance of the research sample group in the doctoral program for skills of the twenty-first century is more than the performance of their peers in the …

The Situation Of Syrian Cities And Some Lebanese Areas In The Eyes Of Ibn Jubeir, Noura Mereb

Al Jinan الجنان

The letter talks about the Andalusian traveler Ibn Jubeir, who visited Syria and Lebanon on his journey to the Pilgrimage of the Holy House of God, where I chose from this trip Syria and Lebanon, and to see the most important Syrian and Lebanese cities he visited. We then show the beautiful images mentioned by Ibn Jubeir in describing each city of cities, nature, air, antiquities and social customs of its people uniquely, entering Manbij, Aleppo, Ma'rat al-Numan, Hama, Homs, Damascus, Tibnin, Banias, Mount Lebanon and Tyre.

Ibn Jubeir was creative in portraying the beauty of Syria, the magic of …