Waldenström macroglobulinemia (WM) is a rare, indolent lymphoproliferative disorder characterized by the accumulation of abnormal lymphoplasmacytic cells in the bone marrow. These cells produce excessive amounts of monoclonal immunoglobulin M (IgM) protein, leading to symptoms such as fatigue, bleeding problems, and increased susceptibility to infections. In recent years, biclonal gammopathy, defined as the presence of two distinct monoclonal proteins in a patient’s blood or urine, has been increasingly recognized in some WM patients. For instance, Nakazaki et al., (2010) reported cases of WM with coexisting non-IgM gammopathy, specifically IgG.

This study evaluates the impact of community policing strategies on crime control in local communities within Imo State, Nigeria. Specifically, the study focuses on two key objectives. The first, is to ascertain whether the implementation of regular community patrols by vigilante groups and the police, contributed to the prevention of kidnapping, and second, to determine if the strategy of setting up security checkpoints by Ebube Agu has been successful in curbing the movement of illegal arms and reducing communal clashes. The study is anchored on Structural-Functionalism Theory. The study integrates both quantitative and qualitative approaches to provide a comprehensive analysis. Findings of the study reveal that regular community patrols effectively deterred criminal activities such as kidnapping, by fostering collaboration between local communities and law enforcement agencies. The visible presence of patrol teams, combined with local intelligence gathering, created a secure environment that disrupted kidnapping operations. In addition, the establishment of security checkpoints by Ebube Agu proved instrumental in intercepting illegal arms, monitoring suspicious movements, and reducing the frequency of communal clashes. Despite these achievements, challenges such as limited resources, lack of trust in some communities, and occasional conflicts between security operatives and residents hindered the full potential of the strategies. The study concludes by emphasizing the need for sustained efforts, improved funding, and creations of stronger partnerships between all stakeholders, in order to enhance their effectiveness.

Background: Hearing loss is an exceptionally common medical condition, progressing in incidence and severity with age (Cruickshanks, et al., 2023; Isaacson, 2010). The affected population is enormous, including neonates, young people and elderly persons. Hearing loss may be conductive, sensorineural, or mixed (Zahnert, 2011). Audiologic analysis using pure tone audiometer is performed to assess hearing thresholds across the range of frequencies that are important for human communication (Cunningham and Tucci, 2017). The aim of this study is to ascertain the hearing status of Physicians in Rivers State. Methods: This was a prospective study done in the ENT Surgery department of the Rivers State University Teaching Hospital Port Harcourt between August to September, 2024. One hundred and forty four medical doctors (64males and 80 females), were recruited for the study. Otoscopy was done on all the subjects and thereafter pure tone audiometry (PTA) was performed on them. Results: Data were analyzed and the result revealed that 95 persons (66%) had normal PTA findings, 26 (18%) had mild SNHL and 23 (16%) had mild CHL. Conclusion: It was observed from this present study that most of the doctors have normal hearing status. This is important because a doctor with hearing impairment may not be able to adequately hear and understand presenting complaint (s) from patient, may not also be able to use the stethoscope and mercury sphygmomanometer to check the blood pressure of a patient and also listen to abnormal heart and chest sounds. This may adversely affect the management of the patient. Therefore, it is recommended that doctors should do routine hearing assessment.

أصبحت اللغة العربية لغة رسمية في نيجيريا بعد دخول الإسلام وانتشاره فيها، وقيام المماليك الإسلامية الممثلة في مملكة كانم برنو ودولة صكتو، وقد أدى هذا كله إلى تدافع المسلمين نحو اللغة العربية تعلما وتعليما حتى ظهر من بين مسلمي نيجيريا شعراء قرضوا الشعر العربي على منوال ما درج عليه الشعراء العرب في قصائدهم، واستمر الأمر كذلك منذ عهد كانم برنو إلى عصرنا الراهن. ويعد فن الرثاء من الفنون الشعرية التقليدية التي اهتم بها شعراء نيجيريا غاية الاهتمام، لم يزل الشاعر العربي النيجيري يتناول فن الرثاء على نهج الشعر العربي القديم نوعا وأسلوبا ولغة – فيما عدا ما شذّ عن الدين الإسلامي -، ولعل السر في ذلك أن فن الرثاء شامل لمجالات الحياة الدينية، والعلمية، والسياسية، والاجتماعية. ومن الشعراء النيجيريين المعاصرين المشهورين بشعر الرثاء الشاعر أنس عثمان الجيغوي، وهذه العجالة عبارة عن دراسة أدبية تحليلية لقصيدته النونية في رثاء الداعية البارز الشيخ أبي بكر غِرُو أَرْغُنْغُو، بعنوان: (شعر الرثاء النيجيري: نونية الشاعر أنس عثمان الجيغوي أنموذجا)، وتعتمد هذه الدراسة على المنهج التحليلي، وفي المباحث التالية: المقدمة - نبذة تارخية عن حياة الشاعر - عرض القصيدة وذكر مناسبتها - عناصر الرثاء في القصيدة - الصورة التشبيهة في القصيدة - الموسيقى الشعرية في القصيدة - الخاتمة. وتبدوا أهمية هذه الدراسة في أنها دراسة أدبية تحليلية تطبيقية، من شأنها إبراز ما لشعراء نيجيريا المعاصرين من كنوز الشعر العربي التقليدي الفصيح والإشادة بدورهم الرائد في نشر الثقافة العربية لا سيما الإبداع الشعري في قارتنا الإفريقية..

Context: With the rapid development of the Fourth Industrial Revolution, legal violations in cyberspace are increasing, posing threats to information security and social order. Students majoring in National Defense and Security Education (NDSE) at Ho Chi Minh City University of Education (HCMUE) are required not only to have a clear understanding of cyber laws to protect themselves but also to possess sufficient knowledge to educate and raise awareness within the broader community. Findings: By employing practical survey methods, interviews, and observation, this study analyzes and evaluates the current awareness levels of NDSE students at HCMUE regarding cyber law violations. The survey results show that although students are aware of the illegality of such behaviors, they still engage in them due to gaps in their understanding of legal regulations and consequences. Discussion: Based on the findings, the study proposes several measures to enhance students' awareness of common cyber law violations, including promoting legal education on cyber violations; strengthening monitoring and enforcement of cyber regulations within the university; intensifying media coverage of cyber violations through social platforms; and fostering critical thinking and responsible information verification skills. Enhancing awareness not only encourages students to comply with the law but also contributes to building a safe and healthy online environment in line with national security demands in the digital era.

Earthquakes are among the hidden forces that threaten human life and the future of civilization. Earthquakes can result in landslides, ground shaking, fires, fissures, structural damage to buildings, tsunamis and damage to highways and bridges. The extent of destruction and suffering caused by an earthquake depends on: duration, magnitude, and intensity. And with the technological progress and studies in space sciences, the Earth did not receive the attention of studies and researches, especially that related to pre-earthquakes prediction. This paper presents a brief study of some modern methods for pre-earthquakes prediction through study of physical changes in the Earth's atmosphere, especially in the ionosphere.

Smart Maintenance and Reliability Engineering (SMRE) in manufacturing leverages advanced technologies such as Industrial Internet of Things (IIoT), Artificial Intelligence (AI), and Machine Learning (ML) to enhance asset performance, reduce downtime, and optimize maintenance strategies. By integrating predictive maintenance, condition monitoring, and real-time data analytics, SMRE improves operational efficiency and extends equipment lifespan. This paper explores the role of digital twins, cloud computing, and cyber-physical systems in revolutionizing maintenance practices. The study also discusses challenges, implementation strategies, and future trends in smart maintenance for sustainable and resilient manufacturing systems.

The research examines the application of Artificial Intelligence (AI) in waste management systems, using Bee'ah AI City Vision in Sharjah, UAE, as a case study. Research checks the application of advanced AI models, including long short-term memory (LSTM) network and transformer-based models, in adaptation to waste collection efficiency and sustainable urban rule. Conclusions display a 30% lower environmental footprint due to a 25% decrease in operating costs, waste volume prediction, and LSTM network in passage optimization. The transformer model also enabled a 20% increase in public satisfaction by increasing the accountability of services through emotion analysis. Research reflects AI's ability to increase operational efficiency, environmental stability, and governance in the public sector, as well as the main challenges, including AI decision-making data secrecy, algorithm bias, and transparency.

The reshoring of American industries has become a strategic priority to enhance domestic manufacturing resilience, reduce supply chain dependencies, and drive economic growth. Advanced lean manufacturing principles, coupled with automation, present a transformative approach to achieving cost-effective and sustainable production. This research explores the integration of smart automation, robotics, and digital lean methodologies to improve efficiency, reduce waste, and optimize operations in reshoring initiatives. By leveraging Industry 4.0 technologies such as cyber-physical systems, artificial intelligence, and real-time data analytics, manufacturers can achieve higher productivity while maintaining flexibility and quality. The study aims to identify the key enablers, challenges, and impact of advanced lean automation on reshoring efforts. Additionally, it investigates how digital lean tools and automated systems contribute to competitiveness, workforce development, and supply chain resilience in the U.S. manufacturing sector.

Background: Betel nut chewing is a deeply ingrained cultural practice in various regions, including rural Bangladesh. Despite its cultural significance, this habit poses significant health risks, particularly concerning oral health. This study aims to assess the impact of betel nut chewing on oral health among individuals in rural Bangladesh. Methods: A descriptive cross-sectional study was conducted at the Jamalpur 250 Bedded General Hospital in Bangladesh from January to July 2023. A total of 150 adult participants were recruited. Data collection involved structured questionnaires covering demographic information, betel nut chewing habits, and self-reported oral health issues, complemented by clinical oral examinations performed by qualified dentists. Results: Out of 150 participants, 100 (66.7%) reported habitual betel nut chewing. Among these chewers, 70% engaged in daily chewing, with 40% having chewed for 5-10 years. Common oral health issues identified among chewers included dental discoloration (60%), periodontal disease (45%), and oral submucous fibrosis (30%). A significant association was observed between the duration of betel nut chewing and the prevalence of oral health conditions; participants chewing for over 10 years exhibited higher rates of oral submucous fibrosis (66.7%) and leukoplakia (33.3%). Conclusion: The study underscores a strong association between betel nut chewing and adverse oral health outcomes in rural Bangladesh. The findings highlight the need for targeted public health interventions to raise awareness about the risks of betel nut consumption and to promote oral health in these communities.

Metal implants are commonly used in orthopedics for treating degenerative conditions and fractures. These materials are generally considered non-toxic. However, rare instances of malignancy linked to certain implants have been documented in the literature. The formation of high-grade sarcoma on orthopedic implants is an exceptionally rare complication. In this report, we present the case of an unclassified high-grade sarcoma in a 51-year-old patient to highlight the rarity of this condition and the challenges associated with its diagnosis.

With the intensification of population aging, the integrated medical and elderly care industry has gradually become the focus of social attention. Baoding City, as an important node in the Beijing-Tianjin-Hebei coordinated development, faces new opportunities and challenges in the development of the medical and elderly care industry. This paper aims to explore how to promote the construction of a resilient medical and elderly care industry system in Baoding City, proposing specific strategies from four aspects: policy support, service system, technological innovation, and talent cultivation. By analyzing the current status of the medical and elderly care industry in Baoding and combining successful domestic and international experiences, this paper constructs a resilient medical and elderly care industry system with regional characteristics, providing a reference for the development of the medical and elderly care industry in Baoding and even nationwide.

An empirical study of enterprise-related crimes in City J, Zhejiang reveals a fluctuating trend—initial increase followed by decline—over the past three years. Root causes include deficiencies in legal compliance awareness, internal governance, and standardized management among private enterprises. Proposed countermeasures emphasize enhancing entrepreneurial guidance, strengthening employee education and management, and standardizing internal control systems to cultivate robust corporate norms and culture.

Using basic research methods including literature synthesis and analysis, interviews, pedagogical testing, and statistical mathematics; this study selected evaluation criteria and developed a scoring table for both general and specialized physical fitness for male athletes of the Vietnamese National Kickboxing Team. The research contributes to improving training efficiency and competitive performance.

Introduction: Cancer is the second leading cause of death globally, and early detection is crucial for improving outcomes. Brain tumors, characterized by abnormal cell growth in the brain, can be either benign or malignant. Although conventional MRI techniques are routinely used for diagnosis, they often lack the sensitivity needed for tumor grading and characterization. This study aims to evaluate the effectiveness of Diffusion-Weighted Imaging (DWI) and the Apparent Diffusion Coefficient (ADC) in providing additional diagnostic information for brain tumors. Methods: A retrospective analysis was conducted involving 100 patients who underwent MRI examinations, including conventional and DWI, at a diagnostic radiology department between January 2022 and December 2024. The study employed a 1.5-T magnetic resonance scanner, with DWI analyzed using calculated ADC values. Data on demographics, MRI characteristics, and MRI findings were collected and analyzed using SPSS Version 27. Results: The mean age of participants was 43.2 years, with a gender distribution of 53% male and 47% female. The analysis showed that most lesions had irregular borders (42%) and heterogeneous characteristics (56%). Statistically significant associations were found between tumor border irregularity, edema type, and ADC values, with significant differences in ADC values correlating with tumor types. DWI indicated that most hyper-intense tumors showed mass restrictions, whereas hypo-intense tumors demonstrated no restrictions. Conclusion: This study highlights the critical role of DWI and ADC in enhancing the diagnostic accuracy of brain tumors. Integrating these advanced imaging techniques into routine MRI practices can significantly improve the differentiation and characterization of brain tumors, aiding in better clinical decision-making