Introduction: Diabetes is a common condition among pregnant women, and a high glycated haemoglobin (HbA1c) level can indicate poor outcomes for both the mother and the fetus. This report presents a case of an unknown diabetic primigravida with a significantly elevated HbA1c level, which resulted in severe complications during pregnancy and adverse fetal outcomes. Case Study: A 37-year-old primigravida was referred to the emergency obstetrics and gynaecology clinic, where she reported a notable decrease in fetal movements and feelings of lethargy. Laboratory tests revealed a significantly elevated blood sugar level. After assessing fetal well-being, the decision was made to terminate the pregnancy at 33 weeks and 2 days due to severe fetal distress. Immediate treatment was initiated to control the high blood sugar levels. The outcome was the delivery of a preterm boy who presented with multiple biochemical imbalances and required admission to the neonatal intensive care unit (NICU). Conclusion: Improving hyperglycemia and glycated haemoglobin levels to lower than the upper normal limits during both the preconception and post-conception phases can significantly reduce morbidity and mortality for mothers and their fetuses.

Eighty-five rock samples corresponding to the Palaeozoic formations were taken from two wells in

the NC 200 Block of the Murzuq Basin. The study aimed to find out geochemical characteristics of

parameters and specific Gas Chromatography-Mass Spectrometry (GC-MS) biomarkers were 

applied to determine the potential hydrocarbon generation. Per se, Rocks are good sources and 

hold fair content of organic matter, crossing in the range of good accumulation, in which the very 

good source rocks have an organic carbon richness (TOC) reached of 3.7 wt%. The studied rocks 

are ranged from immature to late mature organic matter (OM) with total organic carbon richness 

(TOC) range between 0.4 – 3.7 wt%. Rock-Eval parameters S1, S2, S3, Tmax, S2/S3, OI, PI and HI 

of the source rock samples have values ranged from 0.02 – 0.3, 0.22 – 6, 0.36 – 4, 423 – 443, 24= 

350, 0 – 0.27 and 42 – 384 respectively. The range of hydrogen index (HI) related to oxygen index 

(OI) displays that all kerogen types from Type II to Type III are exist and increase with depth. The 

Tmax parameter is wide-ranging among studied formations, indicating different levels of organic 

matter maturity, from immature oil window and to late mature for the Devonian-Carboniferous and 

Silurian source rocks, associated with more depth. Molecular composition analysis of n-alkanes and 

other biomarkers supported the findings of Rock-Eval pyrolysis data, revealing varied hydrocarbon 

signatures across the formations. The Carbon isotope analysis (δ13C) suggested multiple sources 

contributing to the generated oil, including Type I to Type III kerogens. Silurian Bir Tlacsin/Tanezzuft Formations, the Devonian Awaynat Wanin/BDS II Formations, and

Large outbreaks of skin lesions in cattle have been observed recently throughout the governorate. The LSDV was

shown to be the causative factor. The local strain of LSDV was sequenced and deposited into GenBank, where it

was assigned the accession number MK552139 and designated as LSDV/Egy-BSU/2018. The discovered strain

resources were connected and to other LSDVs, however the phylogenetic tree clustered viruses of sheep pox, goat

pox, and LSD viruses independently.

ABSTRACT: Study area situated in the center of the Hameimat trough which is located in the southeast of the Sirte basin. The Hameimat trough contains two of the largest oil fields in Libya, Gialo and Abu-Attifel fields. The Upper Cretaceous Rachmat, Tagrifet, and Sirte Formations are considered as the main source rock in Sirte Basin.Organic geochemical study of the Upper Cretaceous Rachmat, Tagrifet and Sirte Formations show these Formations have total organic carbon content values of 0.53% to 3.35% fair to excellent as source rock. The Kerogen types are type II and III mixed continental and marine organic matter. The thermal maturity of these formations indicates a mature stage in oil window.Oil saturation index (OSI: S1*100/TOC) shows that Sirte and Rachamt formations have low oil saturation, while the Tagrifet formation has good potential, where OSI exceeds 140 mg HC/g TOC in the most samples of the formation. The Tagrifet formation considers a good unconventional reservoir for shale oil, where the Sirte and Rachmat formations consider possible for shale oil with high risk.

Keywords: Unconventional reservoirs, Organic geochemistry, Sirte basin, shale oil and gas

Abstract: New footprints of theropod dinosaurs were discovered near Sebha city, southwestern Libya. It is the only known dinosaur record from the Jurassic to Lower Cretaceous period within the Messak Formation. The dinosaur footprints have been examined, counted, measured, photographed, and described to deduce the type of dinosaur, its size, shape, walking style, potential diet, and, if possible, its social interactions with other individuals. A total of 183 clear dinosaur footprints were found and documented, and at least two main sizes of footprints have been defined, characterized, and categorized into two groups: large footprints and small ones. The examined footprints made by an upright dinosaur stood and walked on its two hind feet on a humid layer composed of clay, silt, and fine sand. These footprints suggest they may belong to the theropod group of dinosaurs. The size of these footprints ranges from 20 to 60 cm, and the most common type is characterized by an angle of 50 to 70 degrees between the outermost digits. The foot size suggests that the trace makers' height at the pelvis ranged from 0.8 to 2.4 m, while the overall length of the creature reached 9 m from head to tail. A close examination of the footprints reveals almost equal distances between each footprint, indicating that the animals were moving with coordinated, normal steps and walking in their typical gait. Consequently, they were not in a state of chase or escape from any potential dangers. Based on the current state of knowledge, we believe there are two possible interpretations regarding the preservation of these footprints. Physical and chemical processes, such as consolidation, cementation, and the formation of a crust of iron oxides, played a crucial role in preserving the dinosaur footprints within fragile sediments primarily composed of silt and mudstone beds, which are covered by thin layers of sandstone.

Keywords: Murzuq Basin, Messak Formation, dinosaur footprints.

greetings, I Hope you are doing well. Professor. Salem Aboglila Head of the Department of Environmental Science School of Basic Sciences Libyan Academy for Postgraduate Studies Tripoli – Libya

https://wavejo.com/editiorial-board-mebers

Several methods are used as tools for family planning and to avoid unintended pregnancies. It is important for healthcare providers to consider various factors when discussing contraceptive options with patients. This study explored the most commonly preferred methods pf contraception by Libyan women. Age of the women and number of children as well as women’ education were the most significant factors that influence selection of the contraception method. Results of the current study emphasized the need for more family education programs that provide more details about new methods of contraception as Libyan women seems to use more traditional methods of contraception.

I am writing to let you know that you have got a formal confirmation letter, which is accompanied by this message as a PDF file.

If you need any additional information, feel free to contact me by email anytime.

Sincerely,

Dr. Fathia A. Mosa

Editor in Scientific Journal of the Faculty of Science-Sirte University.

Abstract— Speech recognition is a valuable tool in various industries; however, achieving high accuracy remains a major challenge, despite the rapid growth of the speech recognition market. Arabic in particular lags behind other languages in the field of speech recognition, requiring further attention and development. To address this issue, this research uses deep neural networks to develop an automatic Arabic speech recognition model based on isolated words technology. A hybrid model, which is originally developed by Radfar et al. [1] for English speech recognition, is adopted and adapted to be used for Arabic speech recognition. This model combines the strengths of recurrent neural networks (RNNs), which are critical in speech recognition tasks, with convolutional neural networks (CNNs) to form a hybrid model known as ConvRNN. A specific model for Arabic speech recognition which is referred to as “Arabic_ConvRNN” model has been developed based on “ConvRNN” model. The adopted model is trained using an Arabic speech publicly available dataset of isolated words, along with a custom-generated dataset specially prepared for this research. The performance of the built model has been evaluated using standard metrics, including word error rate (WER), accuracy, precision, recall, and F-measure (also referred to as f1 score). In addition, K-fold cross-validation method has been employed generalizability. to ensure robustness and The results demonstrated that Arabic_ConvRNN model achieved a high accuracy rate of 95.7% on unseen data, with a minimal WER of about 4.3%. These findings highlight the model's effectiveness in accurately recognizing Arabic speech with minimal errors. Comparisons with similar models from previous studies further Arabic_ConvRNN validated model. the superiority Overall, of the Arabic_ConvRNN model shows great promise for applications requiring accurate and efficient Arabic speech recognition. This research contributes to narrowing the gap in Arabic speech recognition technology, offering a robust solution for accurately converting Arabic speech into text.