Member states of the CEMAC Customs union have adopted international trade law from the World Trade Organization (WTO) through international Treaties and Conventions. The international trade law is considered as the Community Law of the Union, and is governed by well-established principles to ensure compliance. However, the implementation of the trade regime by member states is plagued by poor implementation such as the maintenance of tariff and non-tariff barriers, non-respect of the rule of law, distortion in the application of the common external tariff and the lack of an effective sanctioning mechanism to enforce compliance with its international obligations. This work recommends the effective use of the WTO Compliance Mechanisms such as the Trade Policy Review Mechanism (TPRM) and Participation at the WTO Committees to ensure compliance with their international obligations. It examines the challenges associated with implementation, and concludes with robust recommendations intended to salvage the present drawbacks. This work employs a purely doctrinal research methodology.

In today's rapidly evolving technological landscape, artificial intelligence (AI) and machine learning (ML) stand out as pivotal elements. Their integration into the financial domain is particularly noteworthy, revolutionizing the sector through continuous advancements. With each passing day, these technologies introduce more sophisticated techniques to bolster financial intelligence. This necessitates a comprehensive evaluation of their influence on finance, examining both the current enhancements and the future possibilities they present. It’s crucial to assess the transformative power of AI and ML in finance and to anticipate the emerging opportunities they may unveil.

Background: Late pregnancies are a hot topic for both women and health professionals, due to their increasing increase and their prone to more complications, both during pregnancy and for the unborn child. The objective was to assess the rate of obstetric pathologies according to age group, in order to determine whether pregnancies at an advanced age require special monitoring. Material and Methods: this was a retrospective case-control analytical study over a period of eighteen months, taking place from January 1, 2023 to June 30, 2024 in the obstetrics and gynecology department of the Mali Hospital in Bamako. The study population was divided into two groups: cases, represented by patients 35 years of age or older in early pregnancy, and controls, patients under 35 years of age in early pregnancy. The inclusion criteria were all patients followed in antenatal consultations and presenting with a singleton pregnancy at our department during the study period. The criteria for non-inclusion were multiple pregnancies and those resulting from medically assisted reproduction (ART). Data entry and statistical analysis were performed by SPSS software. The Pearson chi-2 test as well as the Fisher exact test with a significance threshold of 5% (p ˂ 0.05) were used for the interpretation of the data. Results: The out-of-school population was the most represented (54%, (n = 281/515) with 43% (n = 223/515) and 11% n = 58/515) respectively among those under 35 years of age and among those 35 years of age or older. Pre-existing conditions such as diabetes and chronic hypertension were significantly associated with age groups with a higher percentage in those aged 35 or over than in those under 30 years of age with respectively (4% versus 3% diabetic) and (5% versus 2% chronic hypertensive). Obstetric complications were most common among women aged 35 years and older. hypertensive disorders of pregnancy (gestational hypertension, preeclampsia) were significantly more frequent in women from the age of 35. The pregnancy hypertension rate was 5.6% to 3.4%) respectively in those aged 35 or over versus under 35 years. As for gestational diabetes, the rate was 10% versus 2% respectively in those over 35 and over versus those under 35. Conclusion: Our study shows that maternal age of thirty-five years or more plays a role in maternal complications.

Security monitoring is a crucial aspect of cybersecurity and a prong of organizational cybersecurity policies. It is achieved primarily using SIEM tools supported by logs ingested from intrusion detection tools and other security solutions. SIEM tools generate alerts of varying severities when detection rules identify anomalies or possible security incidents after analysis of ingested logs. These alerts need to be investigated, but due to the volume of alerts generated and the limited monitoring manhours, it is important to prioritize which security alerts are investigated first. This paper presents a sliding window technique for prioritizing security events by computing a priority value using the severity of previous alerts, alert entities, and criticality ratings. Findings from the experiment show that this approach improves the prioritization of security alerts with severe and medium alerts affecting critical systems prioritized over low, high, and critical alerts affecting non-critical systems. This work can potentially streamline and enhance the efficiency of security monitoring operations.

Sirenomelia, also known as mermaid syndrome, is a rare congenital malformation in which the lower limbs fuse together, giving the appearance of a mermaid's tail. It is frequently combined with severe urogenital and gastrointestinal anomalies. We report the case of a 30-year-old pregnant woman. During this pregnancy, sirenomelia was first diagnosed during a routine 2nd-trimester ultrasound examination, which showed fusion of the lower limbs. Neither she or any member of her family had a history of diabetes. As for other risk factors, she had no history of exposure to teratogenic agents during her pregnancy. Moreover, her marriage was not consanguineous. Sirenomelia is a rare malformative sequence that should be diagnosed as early as possible. Bilateral renal agenesis, confirmed by color Doppler, makes it a lethal condition.

There is no gainsaying that MTN-Mobile Money plays a vital role in the economy of most nations especially the advent of digitalization in the world today. In Cameroon, a plethora of legislations have been enacted and well established institutions at various levels with diverse competences in ensuring compliance with the protection of MTN Mobile Money services. Despite these laws and institutions in place, MTN Mobile Money services have been plaque with numerous challenges which impedes effective implementation. In tandem with this state of affair, the aim of this paper is to explore the challenges faced in enforcing mobile money regulations in Cameroon, examining the key obstacles and their implications for the effective regulation of this sector. Through a content analysis of primary and secondary data, we therefore, uphold that there would be security and certainty in MTN-Mobile Money Services if these challenges are effectively curtailed in Cameroon and the world at large.

The primary objective of this qualitative research study was to examine and describe the experiences of the BCM Committee in navigating and maintaining business operations within an organizational setting affected by COVID-19 restrictions. The study aimed to explore the phenomenon of transitioning to a restricted environment due to the pandemic, characterized by significant turbulence, substantial changes, and cost-saving measures. Rapid and unforeseen shifts occurred in corporate cultures, business functions, and human resource practices. Specifically, the study focused on investigating how BCM Committees effectively responded to these changes while adhering to state policies and measures in MDB during the COVID-19 outbreak. To the best of our knowledge, no prior research has specifically delved into the lived experiences of BCM Committees as they carry out Business Continuity Planning (BCP) within an organizational culture deeply impacted by COVID-19 restrictions. The outcomes of this study are expected to make significant contributions to the field of business continuity, informing future policies and adding to the available literature on the subject. The study aimed to bridge the existing research gap and expand the general knowledge and existing body of literature. The findings of this study confirmed that the response of Business Continuity Management during the pandemic focused on addressing both process-related issues and people-related issues. Furthermore, the study identified the critical areas of productivity, communications, IT-Cyber Security, and Operations as key factors requiring specific measures to ensure business continuity. In summary, this study sought to provide a comprehensive understanding of the experiences of BCM Committees operating within the challenging context of COVID-19 restrictions. By doing so, it aimed to contribute to the advancement of business continuity practices and enhance the available knowledge in this field.