A document by Diya Mahesh. Click on the document to view its contents.

This paper presents a novel approach to decoding the Indus script, which was used by the Indus Valley Civilization (IVC) from approximately 3300 to 1900 BCE. The main focus of this research is the structural analysis of the signs within the Indus script. The central objective of the paper is to determine whether the Indus script can be classified as an alphabet, and it aims to provide compelling evidence regarding the number of primary signs. This includes establishing the actual count of Indus signs through the decomposition of compound signs, identifying diacritics and analyzing their consistent usage, as well as exploring the underlying concepts and implications associated with sign extraction. To comprehensively examine the Indus script, the paper analyzes over 400 signs, encompassing the entire script rather than a select subset of signs or texts. The visual decomposition of the signs employs a simple grid methodology. By summarizing the logical findings, the paper successfully identifies the primary signs and develops an understanding of their phonetic representation within the alphabet. The study recognizes the diverse writing styles used to combine the basic signs, The writing style of the Indus script incorporates variations in formation, composition, and combination, resulting in a significant number of signs. The research findings indicate that the Indus Script primarily consists of only 40 core signs.

Two-component systems (TCSs) are vital signal transduction pathways ubiquitous among bacteria, facilitating their responses to diverse environmental stimuli. In Bacillus subtilis, the DesK histidine kinase thermosensor, together with the response regulator DesR, constitute a TCS dedicated to membrane lipid homeostasis maintenance. This TCS orchestrates the transcriptional regulation of the des gene, encoding the sole desaturase in these bacteria, Δ5-Des. Additionally, B. subtilis possesses a paralog TCS, YvfT/YvfU, with unknown target gene(s). In this work we show that YvfT/YvfU controls the expression of the yvfRS operon that codes for an ABC transporter. Interestingly, we found that this regulation also involves the action of DesK/DesR. Notably, opposite to des, yvfRS transcription is induced at 37°C and not at 25°C. Our in vivo and in vitro experiments demonstrate that both YvfU and DesR directly bind to the operon promoter region, with DesR exerting its control over yvfRS expression in its unphosphorylated state. Our study uncovers an intriguing case of cross-regulation where two homologous TCSs interact closely to finely tune gene expression in response to environmental cues. These findings shed light on the complexity of bacterial signal transduction systems and their critical role in bacterial adaptability.

Point source CO2 capture (PSCC) is a key technology to decarbonize various industries and direct air capture (DAC) is a potential technology to remove CO2 from the air. The chemical adsorption process using solid amine sorbents can be used for both PSCC and DAC. Solid amine sorbents have potential advantages as compared to the liquid amine sorbents. Solid amines can perform cyclic adsorption-desorption at a much lower energy than liquid amine such as alkanol amines. Environmental concerns related to monoethanolamine (MEA) can be eliminated by designing and upscaling solid amine sorbents. In the past few years, research groups worldwide have been involved in developing and designing cost-effective solid amine sorbents. However, most of them still need to be demonstrated for industrial applications. One of the potential support materials is silica gel which is commercially available and attractive as a low-cost support material for designing silica-based solid amine sorbents for large-scale CO2 capture applications. Different impregnation methods such as physical adsorption and covalent functionalization of silica surface have been used to attach amines and discussed. In this review, a comprehensive critical analysis of commercially available silica gel-supported solid amines is carried out. Silica gel-based solid amine sorbents are discussed and reviewed for desired factors such as adsorption capacity, adsorption and desorption conditions, and kinetics involved in these processes. Finally, a few recommendations are proposed for further development of low-cost, lower carbon footprint solid amine sorbents for large-scale deployment of CO2 capture technology.

Aiming at understanding the source of the fluids that mineralizing within seismically active fault zones, we study the noble gas isotopes (i.e. helium (He), neon (Ne) and argon (Ar)) in the fluid inclusions (FIs) within the calcite veins sampled along high-angle fault zones of the Contursi hydrothermal basin, southern Italy. The latter basin lies in close vicinity of the MW = 6.9, 1980 Irpinia earthquake and exposes numerous fault scarps dissecting Mesozoic shallow-water carbonates. The isotopic analyses are conducted to identify the origin of the volatiles circulating along the faults at the time of calcite precipitation. Then, outcomes of this discussions are compared with currently outgassing of deep-sourced CO2 coupled to mantle-derived He is in that area, whose output is larger than those from some volcanic areas worldwide. The results indicate that He in FIs is dominated by a crustal radiogenic component (4He), and by an up to 20% of a mantle-derived component (3He), with a highest isotopic signature of 1.38 Ra. This value is consistent with the highest percentage of mantle He associated to CO2 high-flux emission in the investigated area (1.41 Ra). The variability of the He isotopic signature in FIs can result from either pre-or-post trapping processes and seismic activity that modify the pristine He isotopic signature (i.e. derived from the crust and/or mantle) in groundwater along the faults during periods of background seismicity. Such investigations are fundamental to understand fluid migration in fault systems and the role of fluids in processes of earthquake nucleation.

The seasonal Predictability Barrier (PRB) and Persistence Barrier (PEB) in the El Niño-Southern Oscillation (ENSO) phenomenon are of recent interest, yet the distinction between the PRB in observations and PEB in ensemble forecast models remains unexplored. Using observational and North American Multimodel Ensemble data since the 1980s, we examined the seasonal PRB and PEB, focusing on intensity, timing, decadal variations, and spatial patterns. Although the intensity of the ENSO spring PRB in dynamic models is notably lower than the spring PEB intensity, the temporal variations, spatial patterns and barrier timing of the PRB and PEB are similar. The chaotic nature of ENSO systems exhibits comparable decadal variations and spatial patterns to the seasonal PEB and PRB, suggesting potential control by chaotic behavior for both seasonal PRB and PEB. Hence, the seasonal PEB of ENSO can still provide useful benchmarks for the predictability study of ENSO in dynamic models.

Note: Carbon nanotubes have many uses in nanoscience and nanoelectronics. Carbon is one of the amazing elements of nature that can be found in nature in four different forms: graphite, diamond, nanotubes and buckyballs. All these four forms are solid and in their structure, carbon atoms are completely and regularly placed next to each other.Carbon is one of the most important elements in nature, and its many uses in human life confirm this point well. For example,  steel - which is one of the main engineering alloys - is obtained from the dissolution of about two percent of carbon in iron; Different types of steel can be obtained by changing the carbon percentage  by only a few hundred percent. "Organic chemistry" is also a science that examines compounds containing "carbon" and  "hydrogen" and polymer engineering is based only on the carbon element. Carbon is found in four different forms in nature,  all of these four forms are solid, and in their structure, carbon atoms are placed next to each other in a completely regular manner.These structures  are:01. Graphite02. Diamond03. (bucky wings) like C6004. NanotubesGraphite is one of the most important carbon structures in nature, and it is formed by placing six carbon atoms next to each other. These  carbon atoms are combined with each other in such a way that they create a regular hexagon and from their sum, a sheet is obtained which is considered as  a (graphite layer).

Note: In nanoelectronics, surface plasmon intensification is the coordinated and cumulative oscillations of metal electrons that are excited by radiation.In electronic science, the topic of nano revolves around (nano memories, nano chips and fast nano chips and nano electronic components) with less weight and more efficiency.  Nanotechnology, knowledge, engineering and technology on a nano scale, or in other words, studying the application of very small objects and their use in all fields of science such as chemistry, biology, electronics; Material science and engineering. The history of nanotechnology describes the development of concepts and experimental work done in the field of nanotechnology. Although nanotechnology is one of the recent advances in scientific research, the development of its fundamental concepts has taken place over a long period of time. The condition of oscillation is that the frequency of the photons of the radiated beam becomes the same as the natural frequency of the surface electrons (which is to overcome the central nuclear force). The resonance of surface plasmons in structures with nanometer dimensions is called Localized Surface Plasmon Resonance. Localized surface plasmons are non-emissive excitation of conduction band electrons of metal nanostructures to which an electromagnetic field is coupled. Plasmonic waves are generated by using the scattering problem from a conductive nanoparticle whose dimensions are below the wavelength of the electromagnetic field of the excitation beam. These nanostructures consist of metal and dielectric, whose dimensions are below the excitation wavelength (the wavelength of the radiation that causes the excitation of plasmonic waves). Plasmonic is based on the process of interaction between electromagnetic waves and conduction electrons in metals with nano dimensions.  Analytically, the reason is the rapid drop in the energy of electrons passing through metals, and it was concluded that this energy is spent on the cumulative movement and oscillation of the free electrons of the metal and called it plasmon.

Ransomware has rapidly evolved into one of the most significant threats to organizational cybersecurity, with its ability to disrupt operations and cause extensive financial and data losses. In response to this escalating challenge, the application of reinforcement learning in Blue Team operations introduces a novel approach to cybersecurity, characterized by adaptive, dynamic defense mechanisms that continuously learn and evolve alongside the threat landscape. The research presented in this article explores the development and evaluation of a reinforcement learning agent designed to enhance the detection, response, and mitigation of ransomware attacks within a simulated network environment. Comprehensive simulations demonstrated the agent's superior performance in comparison to traditional security measures, with significant improvements in detection time, response accuracy, and network resilience. The findings highlight the potential of reinforcement learning to transform Blue Team strategies, enabling a proactive defense posture that anticipates and neutralizes threats more effectively. Furthermore, the agent's adaptability across various network configurations and its robustness in handling multiple ransomware variants demonstrate its versatility and utility as a key component in modern cybersecurity frameworks.

Simulating present-day solid Earth deformation and volatile cycling requires integrating diverse geophysical datasets and advanced numerical techniques to model complex multiphysics processes at high resolutions. Subduction zone modeling is particularly challenging due to the large geographic extent, localized deformation zones, and the strong feedbacks between reactive fluid transport and solid deformation. Here, we develop new workflows for simulating 3-dimensional thermal-mechanical subduction and patterns of volatile dehydration at convergent margins, adaptable to include reactive fluid transport. We apply these workflows to the Hikurangi margin, where recent geophysical investigations have offered unprecedented insight into the structure and processes coupling fluid transport and solid deformation across broad spatiotemporal scales. Geophysical data sets constraining the downgoing and overriding plate structure are collated with the Geodynamic World Builder, which provides the initial conditions for forward simulations using the open-source geodynamic modeling software ASPECT. We systematically examine how plate interface rheology and hydration of the downgoing plate and upper mantle influence Pacific–Australian convergence and seismic anisotropy. Models prescribing a dry rheology and a plate boundary viscosity of 5e20 Pa s best reproduce observed plate velocities. Conversely, models considering hydrated olivine fabrics best reproduce observations of seismic anisotropy. Predicted patterns of slab dehydration and mantle melting correlate well with observations of seismic attenuation and arc volcanism. These results suggest that hydration-related rheological heterogeneity and related fluid weakening may strongly influence slab dynamics. Future investigations integrating coupled fluid transport and global mantle flow will provide insight into the feedbacks between subduction dynamics, fluid pathways, and arc volcanism.

With increased urbanisation, fires in the wildland urban interface (WUI) have become a severe problem worldwide. The unique features of WUI may influence fire-atmosphere interactions. This study utilises the parallelized large eddy simulation model (PALM) system for fire-atmosphere simulations of Bottle Lake Forest, Christchurch, New Zealand. Over 3000 residential buildings are situated around the 7 km2 forest, with many homes only 50 m away from the forest edge. We conducted high-fidelity fire-atmosphere simulations with the finest grid spacing of 4 m. In comparison to WUI simulations, flat terrain simulations were carried out as a reference for idealised scenarios. Fire-weather conditions for the 2022/2023 New Zealand fire season were selected based on the Fire Weather Index (FWI). Data from previous fire field campaigns were obtained to represent the fire heat forcing. Our results show that the WUI simulation coincides with fire heat transport going further downwind than its flat terrain counterpart. Kelvin-Helmholtz waves were present in both the WUI and flat terrain simulations, generating downdrafts from higher levels to the surface. However, downwind heat transport coincides with a pulsing behavior only in the WUI. In addition to these characteristics, analysis of the ambient atmosphere shows that the WUI plays the main role in modifying fire-atmosphere interactions. This study is the first to simulate fire-atmosphere interactions in WUI with such a high fidelity. Our results provide insights into the impact of WUI on fire-atmosphere dynamics. More work is needed to further understand how each component of WUI can alter fire-atmosphere interactions.

Human exposures to the Gram-negative, halophilic environmental pathogen, Vibrio vulnificus, are on the rise, yet pathogenicity and virulence mechanisms remain poorly understood. There are hundreds of cases of Vibrio vulnificus-related infections yearly, and these infections result in hospitalizations 92% of the time, with a mortality rate of 35%. This infection is severe, with patients typically contracting the bacteria via consumption of contaminated food, or through an open wound while swimming in contaminated water, which can result in necrotizing fasciitis and amputation of infected tissue. Several genes have been implicated in contributing to the pathogenicity of this organism (rtxA1, vvpE, vvhA), but no defined mechanism for pathogenicity has been discovered. Here, we focus on environmentally isolated Vibrio vulnificus strains and use a Zebrafish model (Danio rerio) to address the virulence capabilities of these strains. We found that virulence varied greatly between individual strains, and the commonly used marker gene of disease-causing strains of vcgC, did not accurately predict the more virulent strains. To this point, the least virulent strain from the study, V. vulnificus Sept WR1-BW6, which was positive for vcgC, vvhA, and rtxA1, did not produce severe disease in the fish and was the only strain that did not produce a single mortality throughout the study. Our study shows that virulence between different environmental strains varies greatly, and cannot accurately be predicted based on genotype alone.

Amazonian forests are vulnerable to a wide range of human threats, such as selective logging and forest fires. The capacity of Amazonian forests to recover from human-disturbances depends, among other factors, on the persistence of frugivory interactions leading to essential ecological functions, like seed dispersal. Although important, little is known about frugivory interactions in the Amazonian forests. Most studies focus on a single or a limited set of similar species; neither studies include both arboreal and terrestrial frugivores. Moreover, most studies have not studied the impact of human-disturbances. We investigated the impacts of selective logging and forest fires on frugivory interactions in Amazonian forests. We sampled interactions at the community level, surveying arboreal and terrestrial frugivores across 17 forest transects with variable disturbance histories. We found that undisturbed forests held a significantly higher richness of species and interactions distinct from those of interactions human-disturbed forests. Logged forests burned 17 years previously held substantially lower richness of species and interactions, and the interaction composition was almost entirely dissimilar to those of undisturbed forests. Logged (unburned) and logged forests burned three years previously also differed substantially in their frugivory interaction composition, but overall richness and frugivory interactions richness was similar. However, neither selective logging nor forest fires changed the structural properties of frugivory networks, which are highly modular, moderately specialised and poorly connected and nested. β-diversity of plant and frugivore species as well as their interactions was high among all transects, mainly due to the high spatial turnover. Our study provides the first empirical evidence of the negative effects of fires combined with selective logging on frugivory interactions in tropical forests, highlighting the long time-scales required to evaluate impacts and reestablish ecological processes.

Background: Dysphagia, (dysfunctional prehension, mastication, or deglutition) describes a comorbidity of pathologies of the oral cavity, pharynx, and esophagus that carries potentially serious health consequences for horses. Given the diversity of differential diagnoses that may result in dysphagia, an understanding of the prevalence of dysphagia in hospitalized patients, the distribution of etiologies and relative clinical outcomes could inform diagnosis, treatment, and prognosis. Objectives: We hypothesize that clinical outcomes would vary between dysphagia of different etiological origins, and that neurogenic dysphagia would carry the lowest probability of recovery. Study design: Retrospective cross-sectional study. Methods: Referral hospital cases were screened and included in the analysis for patients > 6 months of age with at least one clinical sign of dysphagia and an etiological diagnosis for these clinical signs. Cases were partitioned into one or more etiological categories of dysphagia (oral, pharyngeal, esophageal, neurogenic) based on recorded diagnosis. Associations between etiologies, predisposing factors, treatments, and outcomes were evaluated by statistical analysis. Results: Inclusion criteria was met for 182 cases. Resolution of clinical signs for oral pharyngeal, and esophageal etiologies of dysphagia was >80%, There were reduced odds of recovery for dysphagia of neurogenic origin (OR 0.24, 95% CI 0.10-0.56, p < 0.001). Patient age at presentation and use of antibiotic and anti-inflammatory therapy was positively associated with patient outcome across all dysphagia etiologies. Aspiration pneumonia was a common sequela of dysphagia across all etiologies; but had no effect dysphagia resolution. Main limitations: The retrospective nature of the study was limited by the reliability and completeness of the historical and clinical information. Observations in this study population (referral hospital cases) may not be representative of all dysphagia cases. Conclusions: Dysphagia is an uncommon comorbidity in hospitalized patients. Prognosis is good for most etiologies, but positive outcomes for dysphagia of neurogenic origin are reduced.

A document by Vadim Sovetov. Click on the document to view its contents.

Extraction of an ectopic supernumerary tooth through nasal cavity with piezosurgery under local anesthesia: a case reportConsent statement: Written informed consent was obtained from the patient to publish this report in accordance with the journal’s patient consent policyAilimaierdan Ainiwaer，Bumairemu Yiminjiang ,Wang Ling**Correspondence: Wang Ling Email: crystalWL272@126.com[Abstract] The ectopic supernumerary teeth (ST) commonly occur in the oral cavity. We are reporting a case of a 23-year-old female patient with one ectopic ST in the anterior region of the maxilla. We extracted the ectopic ST under local tissue anesthesia through the nasal cavity using piezosurgery and minimally invasive extraction tools. During the operation, the adjacent structures remained intact, and the patient experienced mild pain. This case indicates that ectopic ST in the maxilla can be extracted not only through an intraoral approach but also through a nasal approach.[Key words ] Nasal cavity; Ectopic Supernumerary Teeth；Nasal Approach; Piezosurgery；Local anesthesia；Fund program :This research was funded by Youth Research Launch Project of the First Affiliated Hospital of Xinjiang Medical University (Grant No .2022YFY-QKQN-33)

Cancer is a complex genetic disease involving uncontrolled cell growth and proliferation, and necessitates effective targeting of dysregulated cellular pathways underlying cancer progression. Multiple genetic and epigenetic alterations characterize tumor progression and define hallmarks of cancer. It may result in dysregulation of growth factors, regulatory proteins, cell adhesion molecules, and molecules of immune system driven by alterations in the expression profile of tumor suppressor genes and oncogenes that may vary among different cancer types. Importantly, patients with the same cancer type respond differently to available cancer treatments, likely due to tumor-specific DNA, RNA, and proteins, indicating the need for patient-specific treatment options. Precision oncology has evolved as a form of cancer therapy that is focused on genetic and molecular profiling of tumors to identify specific molecular alterations involved in carcinogenesis for tailored individualized cancer treatment. Advances in high-throughput technologies, that include next-generation sequencing, have enabled gene expression profiling, providing detailed molecular characterization of various tumors. Moreover, the application of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell multiomics, constitutes a novel approach for the identification and quantification of a comprehensive set of biological molecules to study how they translate into cellular functions and tissue pathologies. Integration and analysis of various multiomic sequencing data are crucial in this regard, as they can reveal critical molecular changes, such as cancer-driving mutations, post-translational modifications, gene fusions, amplifications, and alterations in signaling networks within tumors. Furthermore, the role of computational techniques such as artificial intelligence and deep learning, in analyzing complex data and identifying patterns of disease development for better outcomes is now well established in precision medicine. Additionally, AI-powered multi-omics and network biology have been harnessed to integrate and analyze biological data through networks, which may prove crucial in solving key problems facing precision oncology. This article aims to briefly explain the foundations and frontiers of precision oncology in the context of cutting-edge developments in tools and techniques associated with it, and try to assess its scope and importance in achieving the intended goals over time. 

INTRODUCTIONDental implant is a highly anticipated therapy with widespread use. He has become embedded within a large number of dental practices around the world and has grown and evolved rapidly, driven by consumer demand for immediate fixed tooth replacements (1).However, various cases of implant complications have been reported, in particular peri-implantitis. It is featured by progressive bone loss that results from the inflammation evoked by the colonization of the peri-implant sulcus by pathogenic bacteria (2). The diagnosisis based on composite criteria, including radiographic and clinical features such as progressive bone loss (plus/minus 0.5 mm), increased probing pocket depth, erythema, and bleeding on gentle probing with or without suppuration (3).Various surgical and nonsurgical modalities have been proposed in order to resolve soft tissue inflammation and to halt progressive bone loss. It was noted that when implants with ≥50% of bone loss, the most reasonable therapy to eradicate the disease is to remove the implant.

In recent years, the deployment of AI-driven conversational systems has grown exponentially, making them integral to various industries where they interact directly with users. However, the increasing sophistication of semantic attacks, which exploit the subtle vulnerabilities within these systems' interpretive mechanisms, poses significant risks to their reliability and security. This article introduces a novel approach to evaluating the susceptibility of ChatGPT-4o to such semantic manipulations through the systematic design and testing of adversarial prompts. By employing a robust methodology that includes both quantitative and qualitative analyses, the research uncovers critical weaknesses in the model's ability to maintain accuracy, coherence, and unbiased responses under adversarial conditions. The findings not only highlight the urgent need for more advanced security measures but also offer valuable insights into how prompt design and model refinement can mitigate these vulnerabilities. The implications of this research are far-reaching, providing a foundation for the development of more resilient AI systems capable of withstanding increasingly complex linguistic threats in real-world applications.

Background: Although preventable, occupational heat-related illness (HRI) is problematic in the United States. Farmworkers are disproportionately affected by HRI compared to other workers. Uncovering barriers that farmworkers face to the prevention of HRI is crucial to reducing HRI-associated morbidity and mortality. This integrative review aimed to understand U.S. farmworkers’ barriers to preventing HRI. Methods: An integrative review occurred following Whittemore and Knafl guidelines. Literature searches occurred on PubMed, Medline, and Agricola. After applying inclusion and exclusion criteria and removing duplicates, nine articles remained for review. Results: The reviewed articles revealed several themes related to prevention barriers: access, education and training, culture, and compensation. Conclusion/implications: This review indicates the need for more research to understand the barriers farmworkers face to HRI prevention. Providing prevention measures without considering obstacles to their use is ineffective in reducing HRI. Because many farmworkers lack oversight and regulation of prevention measures, focusing on barriers and areas over which farmworkers have more control could have a significant impact.

Phenological mismatch has been highlighted as a reason why climate change is causing declines of migratory populations. The likelihood of declines due to phenological mismatch might depend on what cues trigger migration. Migrants that use environmental cues (e.g. temperature, resource availability) to trigger migration are often considered to be less vulnerable than migrants that use temporal information (e.g. photoperiod). We develop a model to investigate how migration cue type determines the effects of phenological change of habitat quality on fitness. We show that which cue type performs better depends on the strength of seasonality in the habitats used by a migrant. We use our results to identify scenarios that align and contrast with the prediction that migrants using temporal cues are more vulnerable. We also recommend that future empirical and theoretical work on phenological mismatch more clearly distinguish between the accuracy and efficacy of cues. Similarly, we recommend considering both how the benefits available from migrating and the benefits that are captured by migrants are changing with phenological change. This work improves our understanding of the role of cue in determining migratory populations’ trajectories as climate changes.

Nigeria is a mineral-rich country, from crude oil to natural minerals, despite the abundance, effective utilisation is still a challenge. Kaolin (white China clay) is an essential raw material in ceramics, paper, paint, plastic, and welding electrode industries, but this vital raw material despite its abundance in the country, due to the inability to effectively refine it to the standard requirements for industrial purposes, Nigeria spends around 14.35 million USD annually to meet up with the local demand. This study harnesses the effect of magnesia on this raw material as a ceramic for structural applications using the slip-casting method. Kaolin was analyzed using X-ray fluorescence (XRF), X-ray diffraction (XRD), thermogravimetric analysis (TGA), Fourier Transform Infrared Spectroscopy (FTIR), and Scanning electron microscopy (SEM). The XRF analysis revealed that all samples had SiO2 (54.41 wt%), Al2O3 (34.05 wt%), and other trace elements as components. Quartz, microcline, and orthoclase were the main mineral phases identified. Sample 30-200 recorded the highest compressive strength (218.MPa) the highest flexural rigidity was observed on sample 15-200, this indicated that higher magnesia composition reduces the compressive and flexural strength of the ceramics. XRF, XRD, and FTIR spectra confirmed the elemental and chemical compositions of the samples, SEM showed the morphology of the structure of the samples; which showed that when the percentage of magnesia (MgO) was increased from 10 to 60%, the void spaces in the samples increases. TGA analysis explored the relationship between %mass loss and temperature variation of the ceramic samples.

This study delves into MCDM methods for scheduling oncological surgeries, uncovering limited use but significant potential to enhance patient outcomes and healthcare resource efficiency. Employing a SLR, it identifies challenges in resource constraints and ethical patient selection, while highlighting opportunities for customizing prioritization in diverse healthcare settings. Advocating patient-centered methods and interdisciplinary cooperation, the findings emphasize MCDM's promising role in advancing research on surgical scheduling prioritization, aiming for optimal patient care and resource allocation.

A document by Adamu Kilungu. Click on the document to view its contents.