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Background: Preterm Birth (PTB) is the largest direct cause of neonatal mortality and the second leading cause of under-five mortality following pneumonia. Although there are studies conducted before, the magnitude of PTB remains a major issue in most developing countries including Yemen. Therefore, this study aims to assess the prevalence and associated factors of premature birth among newborns delivered in Jiblah University Hospital in Ibb governorate, Yemen.Objectives: No studies have previously been conducted about preterm labour in Jiblah University Hospital in Ibb governorate, Yemen.Methods: This retrospective observational study was conducted in the Department of Obstetrics & Gynecology, Jiblah University Hospital in Ibb Governorate, from 1 December 2023 to 29 February 2024.Results: A total of 1350 pregnancies, 252 (18.67%) were preterm deliveries and 1089 (80.66%) were full-term deliveries at Jiblah University Hospital, Ibb. Our study shows the distribution of participants based on socio-demographic factors. The data that out of the total 252 female participants, with ages mean ± std = 27.43 ± 6.34 roughly 18.67% experienced preterm deliveries. Our study demonstrates that several factors are significantly linked to preterm birth, including the number of siblings, blood pressure, gravida, and abortion number, where the Chi-square p - value was < 0.05. On the other hand, the results from the logistic regression analysis indicated the predictive potential of certain socio-demographic factors in relation to preterm birth. Conclusion: In this study, the number of siblings, blood pressure, gravida, and abortion number are the risk factors for premature delivery. Recognizing the most common risk factors for PTB will help to increase awareness about high-risk pregnancy, improve the preventive measures of preterm risk factors, and modify preterm care protocol in nurseries. 

Aim: This prospective study reports the acceptance testing of the Symbia Intevo Bold SPECT/CT scanner (Siemens Healthineers), recently installed at SQCCCRC, University Medical City, Muscat, Oman, before its clinical implementation.Materials and methods: The acceptance tests were performed using a Low Energy High Resolution (LEHR) collimator and Technetium-99m (Tc-99m) as the radioactive source, following the manufacturer’s protocols. The tests included physical inspection, peaking and tuning, intrinsic and extrinsic uniformity calibration, intrinsic energy resolution, and planar spatial resolution without scatter. Key performance parameters such as full-width at half-maximum (FWHM), system sensitivity, and count rate performance were evaluated.Results: All critical acceptance tests, including intrinsic energy resolution, energy calibration (symmetric curve), and extrinsic uniformity with the LEHR collimator, were completed and met the required specifications. System sensitivity and count rate performance were within the expected ranges, confirming the system’s readiness for clinical use.Conclusion: The Symbia Intevo Bold SPECT/CT system passed all performance tests successfully. The acceptance testing validated the system’s optimal performance following international standards, ensuring its suitability for clinical operations.

Background: Biotechnology is a multidisciplinary field based on the expertise of molecular biology, chemistry, biochemistry, chemical and biological engineering, and digital computing. Biotechnology plays an important role in modern forensic science, driving advances in analytical tools and techniques.This review study provides a brief overview of applications, highlighting advances in forensic biotechnology and key technologies involved in the domains of genomics and DNA analysis, microbial forensics, forensic medicine, and forensic serology. The integration of forensic expertise with technology has increased the accuracy, sensitivity, and efficiency of forensic casework.Conclusions: This interdisciplinary field extends beyond its usual association with biology to also include chemistry, fingerprint analysis, and toxicology, among others. Continued progress and innovation in this advanced field will further enhance investigative capabilities and facilitate the pursuit of justice.

The global menace of cancer requires supplementary treatments beyond standard medical approaches for effective medical intervention. The Ketogenic Diet (KD) composed of high fats combined with moderate proteins and low carbohydrates has become popular as a metabolic therapy for cancer. The anti-cancer mechanism of KD works through metabolic stress induction in cancer cells, reduced insulin and IGF-1 signaling pathways, improved mitochondrial function, inflammation, and immune regulation. Standard cancer treatments receive enhanced outcomes through KD synergistic action which simultaneously decreases treatment-related side effects. To achieve optimized treatment outcomes in cancer, ketogenic diet practitioners need to use personalized nutritional planning in combination with metabolic tracking and exogenous ketone supplements. It is essential to find solutions for diet adherence issues and nutrient deficiencies because they determine KD’s effectiveness as a cancer treatment. The fight against cancer needs sustained and multipronged clinical research and validation to establish the proper implementation of this method.

Bartholinitis, or Bartholin's gland abscess, is a relatively common gynecological condition among women of reproductive age. Its annual incidence is estimated at approximately 0.5 per 1,000 women, which corresponds to a lifetime cumulative risk of about 2%. The condition primarily affects patients between 20 and 50 years old, with a peak frequency observed between 35 and 50 years.After menopause, due to the natural involution of the gland, Bartholin's cysts and abscesses become less frequent, although they can still occur. Moreover, in women over 50, the appearance of a new mass in the gland region should prompt caution, as it may, in rare cases, indicate a carcinoma of the Bartholin's gland or an adjacent vulvar cancer. Therefore, for patients over 40 presenting with a newly emerged cyst or abscess, clinical guidelines recommend performing a biopsy or excision to rule out malignancy. We present the case of a 50-year-old woman with no significant medical history, who was urgently referred to the gynecological emergency department due to confusion, unexplained fever of 40 °C, and resistant leucorrhoea following a week of corticosteroid antibiotic therapy. Clinical examination revealed a large, tender right vulvar mass, indicative of an acute Bartholin's abscess. The patient exhibited signs of septic shock and was admitted to the ICU. Following a diagnosis of sepsis, broad-spectrum antibiotic therapy was initiated, alongside fluid resuscitation and norepinephrine support. Surgical drainage of the abscess confirmed the presence of E. coli. The patient's condition improved rapidly, and she was discharged on postoperative day 8 with no complications. This case underscores that while Bartholin's abscess is typically benign, severe complications, including septic shock, can occur—especially in patients over 50. The appearance of a new Bartholin's region mass in older women should prompt consideration of malignancy, necessitating biopsy or excision. Recent studies compare various therapeutic approaches including simple incision and drainage, Word catheter placement, marsupialization, silver nitrate application, and complete gland excision. Each method has its advantages and drawbacks, with marsupialization offering lower recurrence rates and higher patient satisfaction in many instances. 

Background: Studies explored the therapeutic role of agents inhibiting RAS in epilepsy. Fewer studies addressed the electrophysiological changes associated with angiotensin converting enzyme inhibitors (ACEIs) in terms of sustained seizures (status epilepticus). Sodium valproate (SVPA), a broad-spectrum anticonvulsant, has been associated with adverse cardiac events upon long-term use, in contrast to the beneficial role of ACEIs in cardiovascular disorders.  This work explored the potential effects of ramipril, an ACEI, compared to SVPA, on the behavior, and electrophysiology of the brain and heart in a rat model of status epilepticus. The dose dependent pattern of the presumed ramipril activities was investigated. Methods: Adult male rats were assigned into seven groups, controls, IP pyridostigmine (36 mg/kg)-induced status epilepticus (PISE), oral SVPA (5 mg/kg), and three groups receiving oral ramipril at respective doses of 5 (R5), 10 (R10), and 20 mg/kg (R20). Rat behavior was assessed using Racine’s motor convulsion scoring for 10 minutes.  Blood pressure was recorded, and electroencephalography (EEG) and electrocardiography (ECG) were performed on the sedated rats 24 hours after recovery. Results: Despite the partial behavioral improvement of motor convulsions with R5 and R10 exhibited epileptogenic activity, as indicated by the increased relative power of fast and slow gamma waves and total EEG power. R10 triggered arrhythmia and cardiac ischemia as indicated by absence of P wave, along with ST elevation and tall T wave, slowed heart rate and prolonged QRS, QTc, and RR intervals. Conclusion: PISE was resistant to sodium valproate and ramipril. Ramipril at low and moderate doses induced epileptogenic activity and, especially at moderate dose, precipitated cardiac ischemia and arrhythmia. SummaryThe debatable role of ramipril in epilepsy was studied in a rat model of pyridostigmine-induced status epilepticus, compared to sodium valproate. Increasing ramipril doses did not resolve status epilepticus in rats. Instead, low and moderate doses exhibited epileptogenic activity, opposite to high dose ramipril and sodium valproate. Blood pressure was dose-dependently reduced with ramipril. Electrocardiography showed evidence of cardiac arrythmia and ischemia, especially with the moderate ramipril dose. The behavioral and EEG indices correlated with systolic blood pressure and ECG changes.

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

Purpose: The purpose of this study was to investigate whether a different indocyanine green lymphography formula can reduce the severe pain encountered during this investigation.Methods: Indocyanine green ICG lymphography frequently induces severe and intolerable pain in patients. It is very important to develop a relatively painless lymphography method. This helps reduce patients’ apprehension during examination. Our center conducted randomized control groups of 60 patients with limb lymphedema. Cases were divided into experimental and control groups. Patients in the experimental group were injected with indocyanine green solution containing 5% glucose, while patients in the control group were injected with indocyanine green solution with sterile water.VAS scores were recorded pre-injection, during, and at 10, 20, and 30 minutes post-injection. We recorded possible side effects, e.g. skin redness, itching, subcutaneous bleeding, bruising, severe allergic reactions, and other complications within 24 and 48 hours after imaging, and analyzed the pain score data. Results: The average pain score of the experimental group was 0-3 points, while the control group was 6-8 points. Disease staging was accurately assessed based on imaging results . No other serious complications occurred.Conclusion: Pain can be significantly reduced by the new modality. This method does not affect lymphography results and imaging quality, and there are no obvious serious complications.

Citrus sinensis is a rich source of bioactive compounds  and has attracted attention due to its medicinal benefits. Historically regarded as agricultural waste, orange peel is rich in flavonoids, polyphenols, tannins, and essential oils with antibacterial, anti-inflammatory, and antioxidant qualities. The phytochemicals in Citrus sinensis peel were used as natural reducing and stabilizing agents in the green synthesis method used in this work to create silver nanoparticles (AgNPs). This method is an environmentally friendly alternative to conventional nanoparticle production, eliminating the need for hazardous chemicals. Based on the study’s results, green-synthesized silver nanoparticles derived from Citrus sinensis peel extract offer a sustainable and biocompatible substitute for biomedical applications. The pharmaceutical and healthcare industries may find therapeutic uses for them due to their exceptional antibacterial, antioxidant, and anticancer properties.

The concurrent emergence of dengue fever and the COVID-19 pandemic posed significant challenges to India’s healthcare system, particularly in Western Rajasthan, a region characterized by its arid climate and unique socio-demographic conditions. This study aimed to investigate the clinical and molecular characteristics of dengue during the COVID-19 pandemic, focusing on trends, diagnostic challenges, and serotype distribution. Conducted at Dr. S.N. Medical College, Jodhpur, in 2021, the study included 550 dengue-positive patients confirmed via rapid diagnostic tests and further analyzed using Dengue NS1 antigen and IgM antibody ELISA. Molecular characterization was performed using RT-PCR for serotyping.The results revealed a male predominance (72.36%) and a higher incidence in the 21–30-year age group (39.09%). Urban areas accounted for 67.73% of cases, with significant NS1 and IgM positivity (p = 0.042 and p = 0.004, respectively). Most cases (86.91%) were managed outpatient, though IgM positivity was significantly higher among hospitalized patients (19.19%, p < 0.001), indicating severe or prolonged infections. Platelet counts were above 100,000/mm³ in 86.91% of cases, with only 0.37% showing critically low counts (< 20,000/mm³). Seasonal analysis showed a peak in October (n = 325), correlating with post-monsoon vector breeding. Serotyping identified DENV2 as the dominant strain (97.42%), associated with severe dengue manifestations, including Dengue Haemorrhagic Fever (DHF).The study highlights the dual burden of dengue and COVID-19, emphasizing the need for enhanced vector control, improved diagnostic strategies and public health interventions during overlapping outbreaks. The predominance of DENV2 underscores the importance of serotype-specific surveillance and preparedness to mitigate future dengue epidemics in the region.