Since the Alhamada area is known for its rangelands and most of its inhabitants raise animals, especially sheep and goats, this study was conducted by collecting samples randomly from six herds of sheep distributed randomly from the specific areas of Qurayat and Ghadames This study was aimed to determine the prevalance of Eimeria, which causes coccidian in sheep's and study the effects of many factors such as age, sex, and the breeding system, it is the first study conducted in the Hamada area on this parasite, using microscopic examination, 54 samples of sheep and goat feces were examined, of different ages and of both sexes in the month of May 2022. The result showed that the infection rate was 28% in sheep and 43% in goats. It was noted that there were no significant differences for age in the infection rate, as the highest infection rate was in the age group (>2) years (39%), while the lowest infection rate was in the age group of (1-2) years (7%), it was also shown that there is no significant difference for gender on the infection rate, as the infection rate in males was (22%) and females (48%). The results showed a slight difference in the infection rate between the open and closed breeding systems in the Hamada region, with the closed system averaging 25% compared to 20% in the open system. Clinical signs also appeared on some of the infected animals, including diarrhea, general weakness, and some of them showed plucking of wool/hair.

Dyslexia is a distinct learning disability that is distinguished by difficulties in decoding and reading fluency, spelling as well as other cognitive skills. This research is conducted to assist learning disability by improving the skills required for children with learning disability in reading and spelling using the assistive technology AVA interactive whiteboard. The approach is by strengthening the micro skills required to improve the fundamental skills such as reading, and spelling thus facilitating the learning process. Tactile and visual modalities are the main focus in the use of the interactive whiteboard. This study aims to develop an interactive whiteboard learning prototype for students with dyslexia. A total of six children from 3 demographics (Chinese, Malay, and Indian) participated in the study. Activities improving the four micro skills were introduced in normal whiteboard and the children were exposed to the prototype AVA interactive whiteboard. Responses using Interactive whiteboard were different when compared to their performance with the normal whiteboard. The analyzed results indicated showed improvements in three of the micro skills using IWB

The United States (US) as the second leading economy in global ecological pollution has become a fertile ground for a rigorous analysis of the ecological neutrality using load capacity factor (LCF) and carbon-based consumption (CCO2). This is important for the global drive of achieving environmental sustainability by 2050. The LCF is one of the most comprehensive ecological proxies that incorporate the biocapacity and ecological footprint. In this context, this research examines the effect of natural resources, technological innovation, renewable energy and financial globalization on ecological neutrality in the US for the date spanning from 1990 to 2021. Using the novel augmented auto-regressive distributive lag (AARDL) model, the empirical findings of this study indicate that (i) natural resources, renewable energy, and technological innovation promote ecological neutrality by increasing LCF and decreasing CCO2 emissions; (ii) financial globalization and economic growth mitigate the LCF and increase CCO2 emissions; and (iii) a causal effect is observed among technological innovation, natural resources, renewable energy, CCO2 and LCF. In light of the findings, this study recommends several crucial measures for ecological neutrality targets set out in sustainable development goals (SDGs) 7 and 13, respectively.

The new era of distance education opens up a new problem space for researchers to redefine educational needs. The COVID-19 lockdown with its tremendous consequences has affected the way of thinking and acting and has highlighted the merits of distance education. One of the most important of these problems is the inability of the lecturer technically to manage and present remote lectures, which resulted in the student's dissatisfaction with distance education. In this research, we have studied how to facilitate the work of the lecturer, who suffers from many problems, including the technical issues that need technical competencies in the field of information technology and modern technologies used in distance education, including the simulation system and displaying the system via the Internet, studying how to help the student also, in receiving distance education techniques and dealing with the programs used by the lecturer in skillfully presenting educational curricula. For that, the research focused on studying how to use a team to facilitate this work called the E-Learning Facilitator Team. This team plays a vital role in developing and maintaining an online program that is effective, and smooth, and that will support the realization of the planned learning outcomes. Faculty delivering courses online must be more than transmitters of knowledge; they must become facilitators of learning. Some highly seasoned instructors from the traditional on-ground environment will quickly adapt to the online model, while others may find the transition challenging at first [10].

The division algorithm for multivariate polynomials over fields has been introduced not very long ago, in connection with algorithmic and computational problems in the rings since the work of Buchberger. The well-known fact is a term order must be a well-ordering and the division procedure in the ring of multivariate polynomials over a field terminates even if the division term is not leading term, but is freely chosen. In this paper, we will show the original geometric approach to the classification of all possible orders on the ring of polynomials in two variables is given. The connection between this classification and the well-known classification of Robiano is exposed in details.

The study aimed to present the first record of insect families in Farwa Island. Farwa Island is the largest and most important island in Libya; located in Northern west part of Libya in the Mediterranean, its insect fauna is poorly studied. Short time intensive collection of insect samples was conducted in four areas (mouth of the valley, bay of containers, center of the Island, and Ras-Attalgha) in February, March and April 2021. Different methods were used for insect collection, sorting, preservation and later identification to the lowest taxonomic level and verification. 9 orders, 31 families, 40 genera and 58 insect species were collected in the study; the center of the Island had the highest numerical density and diversity of insect fauna due to its diverse vegetation compared to other areas. Diverse suitable habitats and absent insect control measures provided suitable environmental conditions for insects breeding, feeding and hiding from enemies. This study constitutes the first comprehensive survey of insect fauna on Farwa Island and adds significant value to the ongoing assessment of insect diversity in Libya. A long-term study has to be conducted to investigate detailed information about the abundance and diversity of insects and other arthropods on Farwa Island.

An optimized image watermarking technique based on LU factorization and entropy analysis in combination with lifting wavelet transform and discrete cosine transform is presented in this paper. At first, the original image is decomposed by a 2-level lifting wavelet transform for obtaining the coefficients of a high-frequency subband followed by discrete cosine transform. Afterward, non-overlapping blocks are obtained by dividing the coefficients of discrete cosine transform whereas LU factorization is applied to each nonoverlapping blocks based on pseudo-random sequences. Then, the watermark is embedded into the first row, the first column element of the upper triangular matrix of LU factorization. The normalized cross-correlation (NC), and the peak signal-to-noise ratio (PSNR) are used to evaluate the invisibility and robustness of the presented technique. The experimental results have indicated that the presented technique fulfills all watermarking requirements in terms of invisibility, robustness, security, and capacity. The comparison with the existing scheme has shown that the proposed watermarking technique has a superior performance in terms of invisibility than the existing scheme.