pattern

A detailed knowledge of the drying properties of blood is important for a more complete understanding of the forensic information that may exist at a crime location. Although the effect of relative humidity on the general properties of blood drying has been evaluated, relatively little information exists regarding the alterations of blood serum distribution that may occur during the drying process. Moreover, the influence of humidity on the ability of dried blood drops to transfer from skin to absorbent material has never been studied. The data in the current report show that blood serum pattern formation is distinctly altered by increased humidity in drying drops of blood. In addition, these data document that high humidity conditions were sufficient to remoisten dried blood drops such that they were able to transfer to the absorbent material, with the original bloodstain pattern maintained.

There is a renewed interest in heart failure treatments. With this, there is an increasing interest in heart failure with preserved ejection fraction. Trans-mitral Doppler is commonly used in the assessment of ‘diastolic’ function. It is fashionable to discuss diastolic dysfunction and diastology with the result that the more important systolic dysfunction has become passé. The current literature equates trans-mitral Doppler patterns to diastolic function when actually it is more relevant in systolic dysfunction. This article is an attempt to correct this flawed perception of trans-mitral Doppler.

Soft-tissue sarcomas are a rare and complex group of malignant tumors. Advanced MRI sequences such as diffusion-weighted imaging (DWI) and perfusion-weighted imaging/dynamic contrast enhancement (PWI/DCE) can provide valuable tumor characterization and treatment response assessment. In the case of archetypical cellular tumors such as Pleomorphic Undifferentiated sarcoma (UPS), Good responders often display right-side displacement of the ADC intensity histogram, resulting in increased ADC-mean and decreased kurtosis and Skewness compared with Baseline and poor responders’ more left-sided curve. The PWI/DCE pattern most often associated with a good response is the presence of a “capsular-like” enhancement and a TIC type 2. Sarcoma hemorrhage patterns on SWI emerge during treatment, including “interstitial,” globular,” “luminal,” and incomplete and complete “peripheral ring-like” tumor wall hemosiderin impregnation. Treatment-induced bleeding is typically associated with low SWI-mean values and a left-sided intensity histogram with positive Skewness.During post-surgical surveillance, DCE MR imaging can reliably distinguish recurrent sarcoma from post-surgical scarring. TICs III, IV, and V raise the suspicion of local tumor recurrence, while TIC type II usually represents benign post-operative change such as granulation tissue. Advanced MRI is an essential tool for assessing sarcomas during and after therapy.

Background: Inflammatory bowel disease (IBD) is characterized by non-specific chronic relapsing inflammation of the gastrointestinal tract and extra-intestinal manifestations. It includes Crohn’s disease (CD) ulcerative colitis (UC) and unclassified colitis.Objective: To assess the clinical presentations and management of inflammatory bowel disease in Sudanese patients.Methodology: Prospective, cross-section hospital-based study was conducted at Soba University Hospital (SUH) and Ibn Sina Hospital, in a period from December 2016 to March 2017. Data was entered and analyzed with SPSS, an interview questionnaire containing demographic, clinical, type of IBD, treatment, and complications.Results: A total of 64 IBD patients were included, 50% were diagnosed with UC, 28.1% with CD and 21.9% unclassified type. The most frequent age in UC patients was 41 – 50 years 34.4%, in CD was 31- 40 years 38.9% and for the unclassified type was 51 – 70 years 57.2%. The female was higher in CD while males were higher in Ulcerative colitis disease, symptoms were diarrhea, rectal bleeding, abdominal pain, rectal pain, tenesmus and fatigue. Study participants received 5 amino salicylic acid, and steroids, especially in the oral formulation. Minimal usage of topical forms, azathioprine, and biological agents. Conclusion: The study concluded UC is more common than CD. This should be taken into account as an important update for internal medicine professionals to adjust their expectations and lines of diagnosis, and management. The emergence of the unclassified type in Sudan requires good communication between the pathologists and the physicians and MDT meetings in every patient with suspicion of IBD.

Background: Nursing theories are organized bodies of knowledge providing a way to define nursing as a unique discipline that is separate from other disciplines. As a profession, nursing is committed to recognizing its own unparalleled body of knowledge vital to nursing practice and science. Nursing is a science based on the theory of what nursing is, what nurses do, and why.Aim: This paper aims to elucidate the practical application of Hildegard Peplau's and Rosemarie Parse's nursing theories, individually and in synthesis, in modern nursing practice. Key points: These include a) Hildegard Peplau's Theory of Interpersonal Relations emphasizes the nurse-patient relationship, therapeutic communication, and the continuous search for improvement in patients, even those facing mental health challenges. b) Rosemarie Parse's Theory of Human Becoming underscores the uniqueness of each patient's lived experiences, the significance of "meaning" in health experiences, "rhythmicity" in patterns, and the potential for "transcendence" and growth. c) Integrating Peplau's and Parse's theories promotes holistic patient-centered care, compassionate and empathetic nursing, enhanced communication skills, patient autonomy, cultural competence, continuity of care, and a deep respect for human dignity. d) By embracing both theories, nurses can provide comprehensive, compassionate, and patient-centered care that respects each patient's individuality and capacity for growth.Conclusion: The synthesis of Hildegard Peplau's and Rosemarie Parse's nursing theories offers nurses a comprehensive framework for modern nursing practice. It guides nurses in providing high-quality, patient-centered care that preserves human dignity and recognizes the uniqueness of each patient. Drawing from multiple theoretical perspectives enhances nursing practice and ensures the well-being of patients in today's evolving healthcare landscape.

Patients with heart failure may live longer if they receive chronic treatment with beta-adrenergic blocking medications. Unresolved are the mechanisms underlying the beneficial effects and if they may be applied to ischemic heart failure. Rats (n = 28) underwent echocardiographic-Doppler exams one and six weeks following a simulated operation or myocardial infarction (MI). After the first echocardiography, rats were randomized to either no therapy or 500 mg/l of propranolol in their drinking water. The noninfected left ventricular (LV) papillary muscles were used to record isometric contractions and intracellular Ca transients simultaneously.Untreated MI rats had a restrictive LV diastolic filling pattern, decreased systolic function (13% ± 2%), and significant LV dilatation (10.6 ± 0.4 mm vs. 8.9 ± 0.3 mm, MI vs. control). The LV chamber diameters of the propranolol-treated MI rats were 10.6 ± 0.5 mm, and systolic performance (13% ± 2%). Higher LV end-diastolic pressures (27 ± 2 mmHg vs. 20 ± 3 mmHg) and a more constrained LV diastolic filling pattern (increased ratio of early to late filling velocities and faster E wave deceleration rate) were seen in the propranolol-treated animals. Papillary muscle contractility in untreated MI rats was lower (1.6 ± 0.3 g mm²). Furthermore, the inotropic response to isoproterenol was attenuated, and Ca transients were extended. During isoproterenol stimulation, beta-adrenergic blocking administration had no effect on force development (1.6 ± 0.3 g mm²) or the length of Ca transients.Rats with postinfarction heart failure receiving chronic propranolol treatment did not have improvements in systolic function or LV remodeling. Propranolol exacerbated LV diastolic pressures and filling patterns. Additionally, there was no discernible improvement in intracellular contractility following treatment, Calcium control, or beta-adrenergic sensitivity in the myocardium that is not infarcted).

This study delves into the forensic examination of textile fibers for identification through the application of the X-ray diffraction (XRD) technique. With the textile industry producing an array of materials, both natural and man-made fibers, the need to distinguish between them for forensic purposes becomes paramount. The primary objective of this research is to identify unique characteristics in fiber samples, differentiating between branded and non-branded company textiles. The focus is placed on fresh, unused cloth fibers obtained directly from shops. The study encompasses two broad categories of fibers: natural (such as cotton, silk, and wool) and man-made (including nylon, rayon, and polyester). Samples from both branded and non-branded textiles undergo analysis using XRD, a sophisticated method capable of revealing the crystallographic structure of materials. Results obtained from the XRD analysis unveil intensity peaks at various levels and degrees, providing distinctive patterns for individualization. Even within the same fiber category, such as polyester and cotton, discernible differences in intensity peaks facilitate the identification process. This research contributes to the advancement of forensic techniques by offering a reliable means of identifying textile fibers. The utilization of XRD not only allows for the differentiation between natural and man-made fibers but also enables discrimination among textiles produced by different companies. The implications of this study extend to forensic investigations, where the ability to precisely identify fibers can provide valuable evidence in criminal cases involving textiles.

Introduction: In Sudan, Grewia tenax fruits, are known commonly as Goddaim. The fruit’s pericarp is used traditionally for a long time as a juice or a porridge to treat iron deficiency anemia (IDA). Traditional Goddaim users have a very strong belief in its effectiveness. However, the pattern of hemoglobin improvement follows an initial fast increase followed by a decline upon continuing its use. Some previous studies have attributed its effect to high iron content, while the iron quantity was too small. This work attempts to find an explanation for its mechanism of action by screening the fruit extract and its respective fractions for secondary metabolites, minerals, vitamins, and fibre. Methods: Entailed three methodologies: Chemical analysis to identify quantified minerals, ascorbic acid and non-digestible fibers, Phytochemical Analysis to separate and identify secondary metabolites using high-performance liquid chromatography coupled to tandem mass spectrometry (HPLC-MS-MS technique), and estimation of radical scavenging activities of crude fruit extract and its respective chloroform and ethyl acetate fractions by inhibition of the 2,2-diphenylpicrylhydrazyl (DPPH).Results: Ascorbic acid and indigestible fibres were revealed in the aqueous extract. Secondary metabolites were flavonoids (e.g., quercetin, kaempferol), organic acids (e.g., ferulic acid, chlorogenic acid), β-carboline alkaloids (e.g., 3-hydroxy-tetrahydroharman) identified in the chloroform, and ethyl acetate fractions. The in vitro antioxidant activity of G. tenax fruit extract was confirmed spectrophotometrically. Conclusion: It can be concluded that the initial enhancement of iron absorption through ascorbic acid and fibres, followed by iron uptake inhibition, could be explained by iron chelation by the chelators in the fruits. This paradoxical effect may qualify G. tenax fruits as a safety gauge for improving haemoglobin levels without compromising iron excess once iron stores are filled by keeping the oxidative stress in check. This may present G. tenax fruits as a good and safe remedy that optimizes the treatment of IDA.

The superposition of non-linear waves in space refers to the phenomenon where two or more waves overlap and combine to form a new wave pattern. Non-linear waves are characterized by their ability to interact with each other, leading to complex behaviors that are not observed in linear wave systems. Understanding the stability and behavior of the superposition of non-linear waves in space is crucial in various fields such as physics, engineering, and oceanography.When non-linear waves superpose, their interactions can lead to a range of behaviors, including wave breaking, formation of solitons (localized wave packets), and the generation of harmonics. The stability of the superposition is determined by the balance between the non-linear effects and dispersive effects, which can either stabilize or destabilize the wave pattern. In addition, the behavior of non-linear waves in space is influenced by external factors such as boundaries, dissipation, and external forcing.In this paper, we study the behavior and characteristics of waves when they interact with each other. Superposition refers to the phenomenon where multiple waves combine to form a resultant wave. In the case of linear waves, this superposition occurs according to the principles of linear superposition, which states that the displacement or amplitude at any point is the algebraic sum of the displacements or amplitudes of the individual waves.Understanding the superposition of linear waves in space has various applications in fields such as physics, engineering, acoustics, optics, and signal processing. By studying how waves interact and combine, researchers can gain insights into wave propagation, interference patterns, wave reflections, diffraction, and other phenomena that occur when waves meet.

Antibiotic resistance is a growing global crisis, straining healthcare systems and leaving us with limited options to combat drug-resistant bacteria. This retrospective, cross-sectional study examines the prevalence of antibiotic resistance patterns among urinary tract infections (UTIs) in Al-Shifa Hospital’s medical departments in comparison with non-medical departments using data from microbiology laboratory archives over a one-year period. From the examined urine cultures about 25% were obtained from internal medicine departments and double the number was obtained from non-medical departments. The positive rate was around 35% and about two-thirds of the samples were collected from female patients. Among all departments, Enterobacteriaceae spp. were found to be the most frequently isolated uropathogens, accounting for 80% of cases. However, resistance rates varied depending on the specific organism and antibiotic used. For instance, E. coli showed a resistance rate of only 5% against meropenem, while amoxicillin-clavulanic acid exhibited a resistance rate exceeding 95%.Importantly, the study revealed a significant disparity in resistance rates between medical and non-medical departments, specifically concerning third-generation cephalosporins. In internal medicine departments, resistance rates were alarmingly high, with cefotaxime, ceftriaxone, and ceftazidime showing resistance rates of 75%, 75% and 66.5% respectively. In contrast, non-medical departments displayed lower resistance rates, approximately 60%, 60% and 40%, respectively.In summary, this research sheds light on the escalating problem of antibiotic resistance in UTIs and emphasizes the discrepancy in resistance rates between medical and non-medical departments. Urgent efforts are required to address this issue and find effective solutions to prevent the rise of untreatable bacterial infections.

Background: Diabetic peripheral neuropathy is a symmetrical length-dependent sensorimotor polyneuropathy due to chronic hyperglycemia. The World Health Organization (WHO) identified diabetes as a major global health concern. Diabetic neuropathy is characterized by motor dysfunctions (weakness and atrophy) especially at the distal muscles of lower limbs, and impaired dynamic muscular control in type 2 diabetes patients. Symptoms start in a distal-to proximal pattern in the feet, and ankle and proximally in the hip and knee for both flexors and extensors. Proximal muscle weakness affects postural stability. Dorsiflexor weakness causes increased hip, knee flexion and metatarsophalangeal extension in the initial swing whereas weakness in plantar flexors causes a greater amount of hip and knee flexion during the stance phase.Methodology: 34 subjects with Diabetic Peripheral Neuropathy who fulfilled all the inclusion criteria were recruited for the study. Ethical standards have been maintained and informed consent was taken. Subjects were randomly assigned by lottery method into two groups, intervention, and control with 17 in each. Since it is a single blinded study subjects were blinded about the interventions provided. Pre and post-test scores were taken before and after 4 weeks using Surface Electromyography (sEMG), Kinovea Software, Functional Gait Assessment (FGA) and Short Form -36 (SF-36).Results: The pre and post-score values of the kinematics of gait, Functional Gait Assessment, and Short Form - 36 were analyzed using a Paired t-test and Wilcoxon Signed Rank test within the group analysis, Mann- Whitney U test and Independent t-test for between the group analysis. Both groups displayed notable variations, whereas the intervention group exhibited more significant differences (p < 0.05). Thus, it can be inferred that lower extremity training significantly improves gait kinematics and quality of life in diabetic neuropathy.Conclusion: Lower extremity training is effective in improving the kinematics of gait and quality of life in diabetic neuropathy.

Susceptibility-weighted imaging (SWI) is based on a 3D high-spatial-resolution, velocity-corrected gradient-echo MRI sequence that uses magnitude and filtered-phase information to create images. It SWI uses tissue magnetic susceptibility differences to generate signal contrast that may arise from paramagnetic (hemosiderin), diamagnetic (minerals and calcifications) and ferromagnetic (metal) molecules. Distinguishing between calcification and blood products is possible through the filtered phase images, helping to visualize osteoblastic and osteolytic bone metastases or demonstrating calcifications and osteoid production in liposarcoma and osteosarcoma. When acquired in combination with the injection of an exogenous contrast agent, contrast-enhanced SWI (CE-SWI) can simultaneously detect the T2* susceptibility effect, T2 signal difference, contrast-induced T1 shortening, and out-of-phase fat and water chemical shift effect. Bone and soft tissue lesion SWI features have been described, including giant cell tumors in bone and synovial sarcomas in soft tissues. We expand on the appearance of benign soft-tissue lesions such as hemangioma, neurofibroma, pigmented villonodular synovitis, abscess, and hematoma. Most myxoid sarcomas demonstrate absent or just low-grade intra-tumoral hemorrhage at the baseline. CE-SWI shows superior differentiation between mature fibrotic T2* dark components and active enhancing T1 shortening components in desmoid fibromatosis. SWI has gained popularity in oncologic MSK imaging because of its sensitivity for displaying hemorrhage in soft tissue lesions, thereby helping to differentiate benign versus malignant soft tissue tumors. The ability to show the viable, enhancing portions of a soft tissue sarcoma separately from hemorrhagic/necrotic components also suggests its utility as a biomarker of tumor treatment response. It is essential to understand and appreciate the differences between spontaneous hemorrhage patterns in high-grade sarcomas and those occurring in the therapy-induced necrosis process in responding tumors. Ring-like hemosiderin SWI pattern is observed in successfully treated sarcomas. CE-SWI also demonstrates early promising results in separating the T2* blooming of healthy iron-loaded bone marrow from the T1-shortened enhancement in bone marrow that is displaced by the tumor.SWI and CE-SWI in MSK oncology learning objectives: SWI and CE-SWI can be used to identify calcifications on MRI.Certain SWI and CE-SWI patterns can correlate with tumor histologic type.CE-SWI can discriminate mature from immature components of desmoid tumors.CE-SWI patterns can help to assess treatment response in soft tissue sarcomas.Understanding CE-SWI patterns in post-surgical changes can also be useful in discriminating between residual and recurrent tumors with overlapping imaging features.

The global impact of the COVID-19 pandemic on mental health and substance use behaviors has sparked extensive research efforts. The COMET-G international study, organized by the Department of Medicine and the Rectorate of the Aristotle University of Thessaloniki in collaboration with the World Psychiatric Association, delved into these issues. Running from March 2020 to April 2021, the study collected responses from 55,589 individuals across 40 countries. Through a comprehensive questionnaire, participants provided insights into their mental state, attitudes toward the pandemic, and the resultant changes in their personal and daily lives. Findings revealed, among other things, significant patterns of change in substance use, with notable correlations between reduced usage and the severity of lockdown measures among non-binary individuals. Mental health history emerged as a strong predictor of substance use changes, with influences from anxiety disorders, depression, and self-harm. Additionally, family and social dynamics, including economic expectations and household composition, significantly shaped substance use behaviors during lockdowns. Given these findings, the development of comprehensive approaches targeting the adverse effects of the pandemic on individual behaviors and general welfare is crucial.

Artificial Intelligence (AI) combined with Synthetic Biology has the potential to change the way we approach medicine, agriculture, and manufacturing. AI automates tasks, optimizes experimental designs, and predicts biological behaviours, resulting in more efficient design and engineering of biological systems. However, there are challenges such as data limitations, interpretability issues, and ethical considerations like biosafety and biosecurity concerns that need to be addressed. AI can be used to analyze vast amounts of data and identify patterns. This has led to successful applications of AI in high-throughput screening and biomanufacturing, which can drive innovation and address critical challenges. AI-powered closed-loop systems for real-time monitoring and control of biological processes also show promise in providing real-time feedback and optimizing systems on the fly. Despite these advancements, it's important to consider ethical implications to ensure the responsible development and application of AI in synthetic biology. Proper consideration of challenges and ethical considerations can help leverage the power of AI to drive innovation and tackle pressing societal challenges. Overall, the potential of AI in synthetic biology is significant. By addressing challenges and ethical considerations, we can use them effectively to solve pressing problems.

Background: Acute leukemia is the result of clonal transformation and proliferation of a hematopoietic progenitor giving rise to poorly differentiated neoplastic cells. Reactive oxygen species play a role in maintaining the quiescence, self-renewal, and long-term survival of hematopoietic stem cells, but it is unclear how they would affect disease onset and progression. The aim is to evaluate, at the transcriptional and systemic level, the oxidative-inflammatory status in newly diagnosis acute leukemia patients. Methods: Seventy acute leukemia patients [26 acute lymphoblastic leukemia (ALL), 13 Acute Promyelocytic Leukemia (APL), and 31 Acute Myeloid Leukemia (AML)] and forty-one healthy controls were analyzed. Malondialdehyde and catalase activity were evaluated. Gene expression of NRF2, SOD, PRDX2, CAT, IL-6, and TNF-α was analyzed by real-time PCR.Results: Malondialdehyde concentration was similar in all groups studied. Catalase activity was significantly higher in AML and APL patients compared to controls, while ALL showed similar activity to the healthy group. NRF2, CAT, and PRDX2 expression levels were similar between groups, SOD expression was downregulated in all acute leukemia patients. TNF-α expression was lower in AML groups than in healthy individuals, and IL-6 mRNA expression was downregulated in ALL and APL.Conclusion: This is the first report that correlates transcriptional and systemic parameters associated with the oxidative inflammatory status in newly diagnosed acute leukemia. Some of the parameters evaluated could be used as biomarkers in the selection of an effective therapeutic strategy and will open new directions for the follow-up and evolution of this disease.

Objective: Alazami syndrome (AS) is an infrequent genetic disorder inherited in an autosomal recessive pattern, characterized by the presence of multiple congenital abnormalities. This study explores a case of a 4-year-old girl with AS, examining symptoms, genetic factors, and treatment efficacy. Case report: A 4-year-old girl, born to consanguineous Jordanian parents, displayed dysmorphic features including low birth weight, microcephaly, hyperthyroidism, short stature, blue sclera, triangular-shaped face, deep-set eyes, narrow palpebral fissures, and a prominent forehead. Examination revealed height (92 cm) and weight (7.7 kg) below the 5th and 3rd percentiles respectively. Blood tests and renal ultrasound were normal. Whole exome sequencing (WES) identified a homozygous eight-base pair deletion within exon 5 of the LARP7 gene on chromosome 4q25, confirming the diagnosis of AS, an autosomal recessive disorder. This variant induces frameshift mutations leading to premature stop codons, suggesting a probable mechanism of illness via loss of function. Treatment involving growth monitoring and therapy led to significant improvements in height, weight, and communication skills within three months. Conclusion: We describe a rare autosomal recessive AS case due to consanguinity, with a frameshift mutation in the LARP7 gene found via WES. Our AS treatment program effectively alleviates symptoms and enhances developmental progress.

The complex dynamics of constructive resonance are the main topic of this quantum physics study, along with its implications for matter generation, the unification of quantum and classical knowledge, and important technological developments. Space-time is conceptualized in terms of an interwoven fabric in which both linear and non-linear patterns are recorded in an information field. According to this paradigm, basic particle interactions that result in the development of the material universe are referred to as "Constructive Resonance Waves." A five-dimensional cosmos is shaped by the introduction of Cosmic Information (CI), which is essential since it is a basic base vector related to the dimensions of space and time. The Resonance-Induced Information Force Field (RIIFF) and Constructive Resonance are two new theoretical concepts that are introduced in this paper.

Acha (Fonio) Digitaria sp. is a valuable cereal crop widely cultivated in several African countries. The genetic improvement of Acha through induced mutagenesis has gained attention for enhancing desirable traits. Colchicine, a mitotic inhibitor, is commonly used to induce polyploidy, which can lead to alterations in plant characteristics. This study aimed to investigate the effects of colchicine treatment on germination, plant height, and leaf count of two Acha species. Seeds from two Digitaria species, Digitaria exilis, and Digitaria iburua, were subjected to colchicine treatment using different concentrations (0.05, 0.10, 0.15, and 0.20g/dL). The control group was treated with distilled water. Germination rates were assessed by measuring the percentage of seeds that successfully sprouted. Plant height and leaf number were measured at maturity and analyzed using ANOVA on SPSS Version 26. The results indicated that colchicine treatment significantly affected germination, plant height, and leaf number in both Digitaria species. Germination rates varied depending on the concentration, with lower germination observed at higher concentrations (70.70% and 74.3% for 0.20g/dL treatment in both species). In terms of plant height, colchicine-treated Acha plants exhibited significant differences compared to the control group. The majority of treated plants showed increased growth (57.00 cm to 60.70 cm in D. exilis and 114.10 to 122.40 cm in D. iburua) compared to the control. Variability in plant height was observed among the treated plants, suggesting that colchicine-induced polyploidy had varying effects on height across different genotypes. Similarly, the number of leaves was affected by colchicine treatment. Treated plants exhibited an increase in leaf number (56.70 to 60.7 for D exilis and 32.60 to 36.30 for D. iburua), compared to the control group (49.7 and 29.7 respectively). This variability suggests that colchicine-induced polyploidy may have influenced leaf development and growth patterns in Acha. Colchicine treatment had significant effects on germination, plant height, and leaf count in both varieties of Acha. The results suggest that colchicine-induced polyploidy can alter these plant characteristics. These findings provide insights into the potential use of colchicine treatment for inducing desirable traits in Acha through polyploidization, which may have implications for crop improvement and breeding programs. Further research is warranted to explore the underlying mechanisms and assess the impact of these alterations on overall agronomic performance and yield potential.

Background: Cervical Cancer poses a significant global health challenge, especially in lowresource settings. It is a significant health problem worldwide, with over half a million new cases diagnosed each year, accounting for approximately 6.6% of all gynecological Cancer cases and over 300,000 deaths each year. In Zambia, it is the leading cause of mortality and morbidity among women. The number of cases has increased by approximately 40%. This study explored the lived experiences of Cervical Cancer patients undergoing chemotherapy at the Cancer Diseases Hospital in Lusaka, Zambia, focusing on their subjective experiences. By examining their journeys through chemotherapy, the study aimed to highlight the subtle complexities in which treatment impacts patients’ lives and well-being.  Methods and procedures: Employing a qualitative descriptive phenomenological study design, in-depth interviews were conducted with 10 participants with diverse demographics. The sample size was determined by data saturation and saturation was reached at 10. Ethical protocols were ensured, and Study approval was obtained from UNZABREC and the National Health Research Authority. Thematic analysis was conducted on audio-recorded interviews with cervical cancer patients, ensuring confidentiality and accuracy while discerning significant patterns and themes in their narratives. Results/findings: Emotional experiences ranged from anxiety to gratitude. Psychological challenges encompassed coping mechanisms, stress management, emotional adjustments, and treatment-related fears. Socially, community support, workplace accommodations, and healthcare provider roles were key. Physical experiences revealed side effects managed through coping strategies. Financial challenges significantly impacted individuals and families.  Conclusions and recommendations: The study revealed that cervical cancer patients undergoing chemotherapy face complex challenges spanning emotional, psychological, social, physical, and financial domains, underscoring the imperative for comprehensive patient-centered care. Recommendations suggest focusing on financial aid for cancer patients and tackling treatment expenses and insurance issues. The Cancer Diseases Hospital should establish multidisciplinary teams for holistic care, and enhance patient education efforts. Nurses should adopt strategies integrating cultural competence and patient-centered care to address diverse challenges during chemotherapy. These aim to enhance the well-being and care quality of Cervical Cancer patients.

Microbiome-gut-brain axis represents a complex, bidirectional communication network connecting the gastrointestinal tract and its microbial populations with the central nervous system (CNS). This complex system is important for maintaining physiological homeostasis and has significant implications for mental health. The human gut has trillions of microorganisms, collectively termed gut microbiota, which play important roles in digestion, immune function, and production of various metabolites. Some current research shows that these microorganisms strongly influence the brain function and behaviour of individuals, forming the basis of the microbiome-gut-brain axis. The communication between gut microbiota and the brain occurs via multiple pathways: neural pathway (e.g., vagus nerve), endocrine pathway (e.g., hormone production), immune pathway (e.g., inflammation modulation), and metabolic pathway (e.g., production of short-chain fatty acids). Dysbiosis, or imbalance of gut microbiota, has been linked to mental health disorders such as anxiety, depression, multiple sclerosis, autism spectrum disorders, etc, offering new perspectives on their etiology and potential therapeutic interventions. Artificial Intelligence (AI) has emerged as a powerful tool in interpreting the complexities of the microbiome-gut-brain axis. AI techniques, such as machine learning and deep learning, enable the integration and analysis of large, multifaceted datasets, uncovering patterns and correlations that can be avoided by traditional methods. These techniques enable predictive modeling, biomarker discovery, and understanding of underlying biological mechanisms, enhancing research efficiency and covering ways for personalized therapeutic approaches. The application of AI in microbiome research has provided valuable insights into mental health conditions. AI models have identified specific gut bacteria linked to disease, offered predictive models, and discovered distinct microbiome signatures associated with specific diseases. Integrating AI with microbiome research holds promise for revolutionizing mental health care, offering new diagnostic tools and targeted therapies. Challenges remain, but the potential benefits of AI-driven insights into microbiome-gut-brain interactions are immense and offer hope for innovative treatments and preventative measures to improve mental health outcomes.