Mitigation Techniques Research Articles

308 Awardee Talk: Prevention and mitigation of pathogens in feed and feed manufacturing systems

Abstract Prior to 2013, pathogen transmission through feed was focused primarily on bacteria and biosecurity was used to prevent adulterant entry into the ingredients and the feed mills. Following the porcine epidemic diarrhea virus (PEDV) outbreak in 2013, research focused on pathogen mitigation and control quickly became a subject of interest. Since PEDV, multiple endemic viruses and foreign animal diseases have been found to be transmissible in feed or feed ingredients. As African swine fever virus (ASFV) spread closer to the United States and endemic pathogens are a continued pressure on production systems, it is imperative that prevention measures are included in the feed supply chain and options for mitigation are fully elucidated for times of need. Previous research has demonstrated that preventative measures such as boot baths, lines of separation, showers, and changing clothes are effective measures when appropriately maintained. However, these protocols can seem costly and burdensome to employees, especially when the risk of disease transmission appears low. Employee training is difficult as disease transmission is difficult to visualize and exhibit the importance of each measure. Glo Germ, a florescent substance, is a cost-effective training tool which can demonstrate the efficacy of prevention protocols and can identify areas where biosecurity measures have not been properly utilized. Preventative measures are the first line of defense for feed manufacturing systems, but understanding and using mitigation techniques in the event of contamination can limit pathogen spread and protect the rest of the feed supply chain. Pelleting, as a method of thermal inactivation process, has recently been demonstrated to lessen the quantity of detectable viral RNA and decrease the risk of infection. The pelleting process, however, is a point-in-time mitigant and does not decrease the risk of product re-contamination as feed continues down the supply chain. The use of chemical mitigants, like formaldehyde, medium-chain fatty acids, and organic acids, can decrease the presence of bacterial and viral pathogens with longer-lasting mitigation properties. These mitigants can either be used in the feed itself, or as an addition to flushing batches which help disperse the chemical mitigants throughout the feed manufacturing equipment, thus reducing the risk of product re-contamination. In the event more drastic measures must be taken to eliminate pathogen presence from feed mills, gaseous fumigation and the use of portable heaters show promise as methods to decontaminate feed manufacturing equipment without the use of water or complete equipment breakdown. Overall, effective training and implementation of preventative measures are needed to provide pathogen-free feed to production systems, but continued research in mitigation and mill decontamination will further protect the feed supply chain in the event of pathogen contamination.

STUDY OF FLOOD VULNERABILITY IN HIMALAYAN REGION: A CASE OF UTTRAKHAND

India's Himalayan area is well known for its magnificent scenery and abundant wildlife. However, because of its complicated geology, delicate ecosystems, and unpredictable climate, it is also extremely vulnerable to catastrophic calamities. The causes, effects, and mitigation techniques of the common natural catastrophes that affect India's Himalayan region—such as earthquakes, landslides, floods, and glacial lake outburst floods (GLOFs)—are briefly summarised in this summary. Because of the collision of the Indian and Eurasian tectonic plates, earthquakes are one of the most dangerous natural disasters in the Himalayan region. Major seismic events, like the one that struck Nepal in 2015, demonstrate how vulnerable the region's heavily inhabited areas are to devastating destruction and high fatality rates. Effective disaster preparedness and resilient infrastructure are crucial for minimizing casualties and damage. Another common risk in the Himalayan region is landslides, which can be brought on by unstable slopes, strong rains, and seismic activity. The region's susceptibility is exacerbated by these occurrences, which represent a major threat to natural ecosystems, transportation networks, and towns, particularly during the monsoon season. In the Himalayan region, floods are a common occurrence that are exacerbated by glacial melt, heavy rainfall, and glacier lake outbursts. Flash floods, like the ones that occurred in Uttarakhand in 2013, highlight the terrible effects on infrastructure, communities, and the environment. Reducing flood risks and increasing resilience requires community-based adaptation strategies, early warning systems, and sustainable land use planning. A unique hazard in the Himalayan region, glacial lake outburst floods (GLOFs) are caused by the rapid melting of glaciers and the creation of unstable glacial lakes. The communities, infrastructure, and ecosystems downstream are seriously threatened by these catastrophes, which calls for careful observation and risk assessment techniques. One of the worst natural catastrophes to have hit the state in recent memory is the flash floods in Uttarakhand. Because to the state's distinctive geography, which is made up of small valleys and steep hills, heavy rainfall events have a greater effect, especially during the monsoon season. 2013's devastating flash floods, brought on by abnormally high rainfall, caused extensive environmental damage, infrastructure ruin, and a great deal of fatalities. The abrupt influx of water, rubble, and silt caused great destruction to isolated communities, tourist attractions, and places of worship, underscoring the precariousness of human habitation in the foothills of the Himalayas. The incident also brought attention to the relationship between unplanned development, environmental deterioration, and the likelihood of disasters, spurring calls for more land use planning, early warning systems, and sustainable development techniques future flash floods in Uttarakhand. In conclusion, the broad range of natural hazards that the Himalayan area of India faces calls for multifaceted methods to disaster risk reduction and management. In this dynamic and vulnerable setting, scientific research, community participation, and sustainable development practices are critical components of effective resilience-building efforts. Keywords: Hilly areas natural disaster, flash flood, Glacial lake outburst, flash flood in Uttarakhand

Assessment of global supply chain risk and mitigation strategies

This studies paper presents a comprehensive examination of global supply chain risk management, critical for navigating cutting-edge interconnected enterprise panorama. It explores diverse participants to deliver chain vulnerabilities, together with natural disasters, political instability, and economic fluctuations, highlighting the necessity for proactive chance mitigation techniques. Leveraging insights from scholarly literature and case research, the research underscores the importance of thorough understanding and evaluation of worldwide deliver chain dangers. It advocates for the adoption of progressive methodologies such as fuzzy common sense and Bayesian Belief Networks to beautify threat evaluation practices and prioritize mitigation efforts successfully. Moreover, the paper emphasizes the pivotal role of top management aid, strategic collaboration, and technological advancements in mitigating supply chain disruptions. Through the synthesis of various perspectives and strategies, the research advocates for a holistic technique to mitigate worldwide deliver chain dangers, making sure organizational resilience and sustainability. It underscores the necessity for continuous tracking, edition, and investment in chance management frameworks to navigate uncertainties and keep a competitive gain in an ever-evolving commercial enterprise surroundings. By offering practical insights and actionable tips, this paper equips groups with the expertise and gear essential to support their supply chains against disruptions, thereby improving operational performance and fostering long-time period achievement within the worldwide market. Keywords Supply chain risk management, Global supply chain,Risk mitigation strategies,Disruptions,Resilience

Analyzing Network Time Protocol (NTP) Based Amplification DDoS Attack and its Mitigation Techniques

Network Time Protocol amplification attack is a form of distributed denial-of-service (DDoS) attack in which an attacker exploits or sends a request to a vulnerable NTP server by using their IP address to flood a targeted network or server with an overwhelming volume of User Datagram Protocol (UDP) traffic. In the past, the techniques that involved reflecting traffic off NTP servers to the victim, with the attacker hiding their identity by spoofing the source IP address were carried out using mainly Domain Name Server (DNS) servers but the use of vulnerable NTP servers as reflectors in DDoS attacks has gain lot of popularity since 2014, and this is as a result of the realization of high amplification scale that NTP servers can provide. This type of reflector attack maximized the use of the amplification factor of NTP servers to magnify the attack bandwidth, making it particularly disruptive and difficult to mitigate. Since NTP amplification is not a popularly known attack and there has not been much thorough research on it, this paper explores a holistic overview of NTP amplification attacks, how NTP is used for DDoS attacks, and the overall method that can be used to mitigate such attacks. Keywords: Distributed Denial-of-Service (DDoS) attack, DNS servers, NTP servers

Analyzing Network Time Protocol (NTP) Based Amplification DDoS Attack and its Mitigation Techniques

Network Time Protocol amplification attack is a form of distributed denial-of-service (DDoS) attack in which an attacker exploits or sends a request to a vulnerable NTP server by using their IP address to flood a targeted network or server with an overwhelming volume of User Datagram Protocol (UDP) traffic. In the past, the techniques that involved reflecting traffic off NTP servers to the victim, with the attacker hiding their identity by spoofing the source IP address were carried out using mainly Domain Name Server (DNS) servers but the use of vulnerable NTP servers as reflectors in DDoS attacks has gain lot of popularity since 2014, and this is as a result of the realization of high amplification scale that NTP servers can provide. This type of reflector attack maximized the use of the amplification factor of NTP servers to magnify the attack bandwidth, making it particularly disruptive and difficult to mitigate. Since NTP amplification is not a popularly known attack and there has not been much thorough research on it, this paper explores a holistic overview of NTP amplification attacks, how NTP is used for DDoS attacks, and the overall method that can be used to mitigate such attacks. Keywords: Distributed Denial-of-Service (DDoS) attack, DNS servers, NTP servers

NBTI Effect Survey for Low Power Systems in Ultra-Nanoregime

Background: Electronic device scaling with the advancement of technology nodes maintains the performance of the logic circuits with area benefit. Metal oxide semiconductor (MOS) devices are the fundamental blocks for building logic circuits. Area minimization with higher efficiency of the circuits motivates the researchers of very large-scale integration (VLSI) design. Moreover, the reliability of digital circuits is one of the biggest challenges in VLSI technology. A major issue in reliability is negative bias temperature instability (NBTI) degradation. NBTI affects the efficiency and reliability of electronic devices Methods: This paper presents a review of NBTI physical-based mechanisms. NBTI's impact on VLSI circuits and techniques has been studied to mitigate and compensate for the effect of NBTI. Results: This review paper presents an idea to relate the NBTI and leakage mitigation techniques. This study gives an overview of the efficiency, complexity, and overhead of NBTI mitigation techniques and methodologies. Conclusion: This survey provides a brief idea about NBTI degradation by using reliability simulation. Moreover, the extensive aging effect is discussed in the paper.

Management of eutrophication using combined the “flock & sink” mitigation technique and submerged plants restoration: a mesocosm study

Abstract Currently, the issue of eutrophication and cyanobacterial blooms persists in water bodies worldwide, prompting the exploration of various treatment methods. This study conducted a comparative analysis of eutrophic water bodies using ferric chloride-modified zeolite (FMZ) and calcium hydroxide-modified zeolite (CMZ) combined with Elodeanuttallii (E. nuttallii) for removal and purification effects. The results revealed that the addition of E. nuttallii had a sustained inhibitory effect on phosphorus release, maintaining stability with lower Turbidity(Tur) and stabilized pH within the range of 8.5-9. FMZ demonstrated rapid reduction in dissolved phosphorus concentration, achieving a removal rate of 96% within 3 days. The combined plant group of CMZ and FMZ exhibited synergistic effects with E. nuttallii, achieving an impressive total phosphorus (TP) removal rate of 80.13% and a total nitrogen (TN) removal rate of 48.77%. Additionally, chlorophyll a (Chl a) concentration decreased from 100.74 ± 24.72 μg/L to 49.96 ± 2.08 μg/L. The phytoplankton community composition indicated that diatoms thrived in low temperatures and high NH4 conditions. Under the same low Total Nitrogen to Total Phosphorus (TN:TP) ratio, high TP concentrations were associated with cyanobacteria dominance, while green algae dominated in other scenarios. This comprehensive approach demonstrates the potential efficacy of CMZ and FMZ combined with E. nuttallii in addressing eutrophic water bodies and mitigating cyanobacterial blooms.

Analysis of Multipath Changes in the Polish Permanent GNSS Stations Network

This study examines the influence of multipath errors on Global Navigation Satellite System (GNSS) measurements collected at ASG-EUPOS reference stations between 2010 and 2021. Multipath occurs when GNSS signals reflect off surrounding objects before reaching the receiver antenna, leading to positioning errors. In the case of reference stations, all available mitigation techniques were used to minimize the impact of multipath. However, it is still detectable and affects the measurement results. For carrier phase differential positioning, it increases the ambiguous search space, which results in a decrease in determining rover—reference station vector accuracy. The study employs two linear combinations (Code-Minus-Carrier and Multipath Pseudorange Observable) to quantify the multipath effect on both pseudorange and carrier phase measurements. Based on the research, it was found that the multipath values changed depending on the change of the receiver and the terrain around the reference stations. The study observed a gradual decrease in multipath errors from 2010 to 2021, likely due to technological advancements in receiver design. No significant increase in multipath errors was observed due to environmental changes around the stations, suggesting a minimal influence from new reflecting objects nearby. Based on the analyses conducted, it is also recommended to perform periodic tests to detect incorrect receiver configuration or operation.

The danger of the spread of Ralstonia solanacearum on potato crops worldwide and potential mitigation options

Abstract Potato is a major crop that is consumed by over one billion people worldwide. However, production is hampered by diseases such as viral infections, late blight, and bacterial wilt. Bacterial wilt disease caused by Ralstonia solanacearum is the second most prevalent disease after blight, and its effects are exacerbated by both global trade and climate change. The extent of the disease devastation varies by country, with more serious consequences evident in major potato-producing countries. The Ralstonia species complex (RSSC) is a group of pathogenic strains that spread through the use of infected seed potato, soils, water run-offs, plant debris, or contaminated farm equipment and propagation material. The elements that contribute to the rapid spread of bacterial wilt disease in potato are discussed in this review article, and a disease-control strategy is proposed. Understanding how R. solanacearum spreads through international trade is critical for developing effective mitigation and management techniques to control and limit the spread of this damaging phytopathogen.

Simulation of range code tracking loop for multipath mitigation in NavIC receiver

Abstract The Operational Navigation with Indian Constellation (NavIC) comprises seven satellites in the orbit, including three in geostationary orbit (GEO) and four in geosynchronous orbit (GSO). NavIC provides both Standard Positioning Service and Restricted Service, using L5 (1176.45 MHz) and S1 (2492.028 MHz) frequencies, with coverage extending 1500 km around the mainland of India. In an urban canyon, multipath interference severely reduces the precision and reliability of NavIC positioning. Many current multipath mitigation techniques often exhibit high computational requirements or reliance on external assistance. In this paper, a ranging code tracking loop is proposed that can sustain either a late or early branch in contrast to the Narrow-Spacing (NS) correlation technique for mitigating multipath for NavIC receiver. The design of proposed code tracking loop is based on steepest descent algorithm. The findings demonstrate that, in terms of calculation time and code multipath mitigation, the suggested technique performs better than both Multipath Estimated Delay Locked Loop (MEDL) and NS correlation. The proposed method produces less than 0.016 chips for the tracking error Standard Deviation (STD). In addition, the recommended method takes 24 % less computation time.

Digital quantum simulation of gravitational optomechanics with IBM quantum computers

We showcase the digital quantum simulation of the action of a Hamiltonian that governs the interaction between a quantum mechanical oscillator and an optical field, generating quantum entanglement between them via gravitational effects. This is achieved by making use of a boson-qubit mapping protocol and a digital gate decomposition that allow us to run the simulations in the quantum computers available in the IBM Quantum platform. We present the obtained results for the fidelity of the experiment in two different quantum computers, after applying error mitigation and post-selection techniques. The achieved results correspond to fidelities over 90%, which indicates that we were able to perform a faithful digital quantum simulation of the interaction and therefore of the generation of quantum entanglement by gravitational means in optomechanical systems.

Site Diversity Mitigation Technique for Satellite Services for Ku and Ka-band in Tropical Region

The demand for satellite communication has increased which led to spectral congestion. Recently, the satellite services use Ku and Ka-band as additional spectrum for satellite communication services. Ku and Ka-band are categorized as high frequency range which is around 12 to 14 GHz and 20 to 30 GHz respectively. However, the higher frequency will affect the quality of services and lead to signal impairment. This is mainly caused by the atmosphere effect which is oxygen, liquid water, and precipitation. But among the list, rain causes most signal fading due to the scattering and depolarization. The aim of this research is to study the site diversity as mitigation techniques operating at Ku and Ka-band for enhancing the gain of the signal and calculating diversity gain. There are modelling of diversity gain that has been proposed by previous researchers namely Hodge, Panagopolous, ITU-R, X.Yeo and Semire models which were validated in different climate regions respectively. By using all previous modelling of diversity gain, it will also compare with the measured local diversity gain. Suitable modelling that can be used in this tropical region has been proposed by improving the mathematical model that will be suitable in the tropical regions. This is important for encouraging the finding of new theories for the future broadcasting systems to decrease the power loss during the rain fade.

Fade Duration Analysis on a Ka-Band Link Operating in the Tropical Region

Communication systems are rapidly shifting towards higher frequencies due to congestion experienced at lower frequencies and the growing demand for higher data transmission rates within the network. However, it has been observed that as frequency increases, the susceptibility of the system to weather-related factors, particularly adverse weather conditions like rain, becomes more pronounced. This has raised significant concerns regarding the dependability of satellite communication links. This research investigates the dynamic characteristics of signal degradation caused by atmospheric effects, specifically focusing on the impact of rain fade. The study involves an analysis of fading duration using a year's worth of data extracted from Measat-5, operating at a beacon frequency of 20.199 GHz and positioned at an elevation angle of 68.8°. Such data is useful when developing a fade mitigation technique (FMT) that mitigates the disruptive effects caused by heavy rainfall, ultimately leading to an enhancement in both signal quality and overall signal availability.

A STUDY ON LOGISTICS RISK EVALUATION INVOLVED IN PIGMENT INDUSTRY

In the current worldwide economy, logistics are essential to guaranteeing the smooth movement of commodities among different businesses. The pigment business, which is necessary for colouring a wide range of goods, including paints and cosmetics, has particular difficulties with logistical management. The objective of this research is to assess the logistical risks that are common in the pigment business and provide ways to reduce them. A mixed-methods approach is used in the research, integrating quantitative and qualitative analysis. In order to identify important risk variables in pigment logistics, qualitative data is gathered through surveys and interviews with stakeholders, logistics managers, and industry experts. These elements include supplier connections, inventory management, transportation, warehousing, and regulatory compliance. Moreover, quantitative analysis evaluates the frequency and seriousness of hazards revealed by statistical techniques. This entails the creation of a methodology for evaluating logistics risk that is specific to the pigment sector and incorporates variables including regulatory changes, supply chain interruptions, demand volatility, and shipping delays. The report suggests a thorough risk-reduction plan for the logistics of the pigment sector based on its results. This plan includes preventative actions including expanding the variety of transportation routes, implementing sophisticated inventory control systems, creating backup plans, and improving supplier cooperation. This study's consequences go beyond the pigment business; it provides insights that may be applied to other areas of logistics management. Through the investigation of the particular logistical issues encountered by pigment producers, this study enhances the resilience, efficiency, and overall sustainability of the supply chain. Keywords: Supply Chain Management, Risk Mitigation Techniques, Quantitative Analysis, Pigment Industry, Logistics Risk Assessment.

Comparative Assessment of the Mountainous River Basin in Kyrgyz-Kazakh Region of Central Asia with River Basins in Australia, Canada and USA

Central Asia is among the most heavily affected regions worldwide by climate change and water shortages. Impacts include changes in precipitation patterns, more frequent temperature extremes and increased aridity causing a negative impact on agricultural production, food availability, and environmental security. To combat this threat, it is important to enhance information literacy among all water users. This can be done through awareness campaigns, blended learning by providing the proper Technical and Vocational Education and Training (TVET) programs and utilizing all available facilities. This will address relevant issues, such as miscommunication, complexities of transboundary water sharing issues, overexploitation of water resources, and poor flood-drought mitigation techniques. Proper and user-friendly lifelong blended learning for scientific information dissemination focusing water issues can provide stronger support to increase awareness among water users and decision policy makers. Worldwide, especially in North America and Australia, information literacy campaigns have proven successful. This strategy can be replicated in the Mountainous Kyrgyz-Kazakh Chu-Talas transboundary river basin. The issues concerning the Mountainous Kyrgyz-Kazakh Chu-Talas transboundary river basin is elaborated and compared with Australian, Canadian, and US river basin management programs. The foresight analysis is presented, as to what would be a rationale to improve water resources more sustainably in Central Asia. Methodologies, programs, technologies, communities-based river basin committees, snow-water collection with agroforestry, and basin-based water market opportunities were analyzed to assess potential applications in Central Asia region.

Chloride-induced stress corrosion cracking in Austenitic steels for SNF storage canisters - Recent understanding and advances in mitigation and repair

Chloride-induced stress corrosion cracking (CISCC) is a critical threat to stainless steel (SS) spent nuclear fuel (SNF) and radioactive materials storage canisters currently in service worldwide. In the past decade, extensive research has been conducted to understand fundamental mechanisms of CISCC, as well as to develop effective repair and mitigation methods to prevent catastrophic failure of the SNF canisters from CISCC. This review article aims to: (1) summarize recent progress from fundamental studies of CISCC in SS, and (2) present state-of-the-art developments in CISCC mitigation and repair techniques that may be especially well-suited for SNF storage applications, including cold spray (CS), friction stir welding (FSW), friction surfacing (FS), laser shock peening (LSP), and ultrasonic nanocrystal surface modification (UNSM). Knowledge gaps in current understanding of CISCC and roadmaps for deployment of the repair techniques are also discussed.

Adaptive TS-ANFIS neuro-fuzzy controller based single phase shunt active power filter to mitigate sensitive power quality issues in IoT devices

The emergence of Internet of Things (IoT) offers numerous functions, such as intelligent sensor integration, remote sensing, and high-speed data transmission, which have found widespread applications in the smart industry and commercial applications. The associative nonlinear effects of a variety of undesirable power quality concerns were resolved by using harmonic mitigation in nonlinear loads and high-performance converters were built on power electronics in conventional systems. Among other performance objectives, total harmonic (THD) distortion analysis and higher order harmonics mitigation is given main concern in smart electronics equipment. This paper proposes an approach to minimize higher-order harmonics due to nonlinear load disturbances in smart IoT devices using the Takagi–Sugeno (TS) Neuro Fuzzy (TS-ANFIS) supervised shunt APF. The proposed work elicits the novel adaptive harmonic mitigation technique in hybrid IoT embedded systems to protect from malfunctioning and to deal with the uncertainty of harmonic signal stimuli in sensitive sensors-based IoT systems. Hysteresis current control is used for the ignition of reference signal under uncertainty of harmonic stimuli. The single phase shunt APF is used to mitigate higher-order harmonics from supply mains, while the implementation of TS-ANFIS supervises the controller action to generate a trigger signal for adequate single phase APF gate excitation. The higher order harmonic current data set is used for error deviation for training neural networks and adaptive control. The estimated adoption of the neuron's empirical weight reduces the total THD to a significant reduction rate of 72.8 % to 0.78 %. The control mechanism is feasible for a range of smart IoT systems to adhere to the standard of 519 (IEEE).

Destination Management Organizations’ Roles in Sustainable Tourism in the Face of Climate Change: An Overview of Prince Edward Island

Globally, destination management organizations (DMOs) are becoming increasingly known for their sustainable practices. Despite the importance of destination management organizations’ sustainability initiatives in the face of climate change, minimal research has been undertaken on the topic in Canada. DMOs on PEI can inform tourists better if they know what other adaptive strategies are taken into consideration around Canada. Our work included host-community interviews and perceptions on DMOs’ roles in improving tourism in the face of climate change. The interviews concluded that tourism officials in Prince Edward Island are becoming more conscious of climate change, but more has to be done to slow down the effects of the phenomenon. This paper also identified challenges facing DMOs in the area of sustainable tourism in the context of climate change. One of the recommendations was that DMOs should have access to techniques for mitigation and adaptation in addition to incentives that are sensitive to local situations. They may successfully advocate for climate change in this way and inform visitors if they are staying in risky places because of the consequences of climate change. The information on the standard operating procedures that DMOs use was intended to be useful to travelers, DMOs, and enterprises involved in the tourism industry. Future implications should discover new approaches for sustainability projects and to achieve a better understanding of how to enhance processes within the tourism industry, and more research on DMOs’ sustainability practices in the face of climate change could help improve this field.

Artisanal mining of monazite and cassiterite in the Amazon: Potential risks of rare earth elements for the environment and human health.

Artisanal mining is intensely carried out in developing countries, including Brazil and especially in the Amazon. This method of mineral exploration generally does not employ mitigation techniques for potential damages and can lead to various environmental problems and risks to human health. The objectives of this study were to quantify the concentrations of rare earth elements (REEs) and estimate the environmental and human health risks in cassiterite and monazite artisanal mining areas in the southeastern Amazon, as well as to understand the dynamics of this risk over time after exploitation. A total of 35 samples of wastes classified as overburden and tailings in active areas, as well as in areas deactivated for one and ten years were collected. Samples were also collected in a forest area considered as a reference site. The concentrations of REEs were quantified using alkaline fusion and ICP-MS. The results were used to calculate pollution indices and environmental and human health risks. REEs showed higher concentrations in anthropized areas. Pollution and environmental risk levels were higher in areas deactivated for one year, with considerable contamination factors for Gd and Sm and significant to extreme enrichment factors for Sc. Human health risks were low (< 1) in all studied areas. The results indicate that artisanal mining of cassiterite and monazite has the potential to promote contamination and enrichment by REEs.

Artificial Intelligence and Machine Learning Techniques for Anomaly Detection and Threat Mitigation in Cloud-Connected Medical Devices

The Internet of Medical Things (IoMT) has begun functioning like this: improved patient monitoring and an easily accessible digital data warehouse. Despite that, this methodology of the internet will potentially have a counter balance which risks for patient data might involve hacking, data theft, and unauthorized access that may contain great consequences for patient privacy and safety. This article examines the possibility of utilizing new AI technology, including inter alia deep learning, unsupervised learning, and ensemble learning to further boost anomaly detection and threat management in connected cloud medical systems. Many old rules and approaches based on statistics lose relevancy versus the dynamics and unpredictability of modern cyberattacks. Identification of anomalies in cyber security is nearly unavoidable, and it should be the first and the last reaction for detecting irregularities in behavior that may indicate undesirable acts or attacks. The paper aims at understanding how AI/ML approaches can give more sophisticated and versatile interventions for finding out anomalies in cloud-attached medical machines. Moreover, this research details robust AI/ML methods such as the adversarial machine learning and reinforcement learning for a perfect threat mitigation. These techniques which activates machine learning models to learn from data continuing to adjust to new evolving threats and then to establish intelligent and proactive threat response systems. The data experiment, which focuses on relevant data sets, reveals that it is the AI/ML techniques that possess the upper hand over traditional methods when it comes to identifying anomalies and defending against threats for cloud- connected medical devices. Such finding expresses much significance for the healthcare industry, as it gives room for the inclusion of AI/ML techniques into the security systems of the medical devices, which are all connected to the cloud. Through the employment of these strategies, healthcare units will become better able to detect and halt any form of threat and as a consequence patients’ data will be protected, devices will continue operating effectively, and eventually patients’ safety and healthcare units will benefit and gain trust from patients.