Successful Studies Research Articles

Elevating hourly PM2.5 forecasting in Istanbul, Türkiye: Leveraging ERA5 reanalysis and genetic algorithms in a comparative machine learning model analysis

Rapid urbanization and industrialization have intensified air pollution, posing severe health risks and necessitating accurate PM2.5 predictions for effective urban air quality management. This study distinguishes itself by utilizing high-resolution ERA5 reanalysis data for a grid-based spatial analysis of Istanbul, Türkiye, a densely populated city with diverse pollutant sources. It assesses the predictive accuracy of advanced machine learning (ML) models—Multiple Linear Regression (MLR), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting (LGB), Random Forest (RF), and Nonlinear Autoregressive with Exogenous Inputs (NARX). Notably, it introduces genetic algorithm optimization for the NARX model to enhance its performance. The models were trained on hourly PM2.5 concentrations from twenty monitoring stations across 2020–2021. Istanbul was divided into seven regions based on ERA5 grid distributions to examine PM2.5 spatial variability. Seventeen input variables from ERA5, including meteorological, land cover, and vegetation parameters, were analyzed using the Neighborhood Component Analysis (NCA) method to identify the most predictive variables. Comparative analysis showed that while all models provided valuable insights (RF > LGB > XGB > MLR), the NARX model outperformed them, particularly with the complex dataset used. The NARX model achieved a high R-value (0.89), low RMSE (5.24 μg/m³), and low MAE (2.94 μg/m³). It performed best in autumn and winter, with the highest accuracy in Region-1 (R-value 0.94) and the lowest in Region-5 (R-value 0.75). This study's success in a complex urban setting with limited monitoring underscores the robustness of the NARX model and the methodology's potential for global application in similar urban contexts. By addressing temporal and spatial variability in air quality predictions, this research sets a new benchmark and highlights the importance of advanced data analysis techniques for developing targeted pollution control strategies and public health policies.

Implementation of the SN04 Roko metal sensor on a 5.56 mm caliber portable magazine feeder

Roko SN04 Metal Sensor technology and equipment are evolving and growing more advanced with time. One type of equipment that needs to consider both the user's safety and the equipment's development and safety is technological equipment used in the military. The soldiers can shoot and do so with skill. As a result, soldiers must be able to move swiftly against the enemy and vigilant when utilizing combat equipment to ensure that it is used correctly and for its intended purpose. Nevertheless, there are still several fighting tools in the military that require a lot of physical labor, making them exceedingly inefficient for the user. One such tool is the portable magazine for 5.56-millimeter ammunition. This study employed the 4D methodology, which stands for Define, Design, Develop, and Disseminate. Development research is a part of this methodology. A device for loading magazines has been created to make it easier for soldiers to move in situations where loading bullets by hand is still risky and impractical. The Roko SN04 sensor is used in the construction of this tool. One sensor that can be used as a metal detector is the Roko SN04. This magazine refill gadget uses a DC motor as a mechanic and an Arduino as a control to randomly arrange ammunition. This study's success rate was 96.67%

Analyzing the Successful Reasons on Perfect Film and Television

Due to economic growth, the cultural industry's rapid expansion, and advancements in science and technology, Perfect Word, a game company, utilized financial leverage to establish Perfect Film and Television and enter the film and television industry. This move resulted in significant profits because their film and television productions gained immense popularity among viewers. The goal of this study was to investigate the factors that contributed to Perfect World's achievements in the film and television industries. This paper examines Perfect Film and Television's precise measures, using it as a case study, and evaluates its financial statistics and the accolades it has received. The primary factor contributing to its success lies in the company's foundation of producing top-notch content, consistently broadening its distribution platforms, and venturing into international markets. To achieve further growth, Perfect Film and Television can strategically establish a comprehensive industrial chain, leverage digital technologies to broaden distribution channels, and establish a distinct traditional cultural brand. The factors that contributed to this study's success can serve as a blueprint for the expansion of other film and television enterprises.

Can an isolated middle-series item make a "Dent" in the bow-shaped serial-position curve of comparative judgments?

Studies have shown that local (e.g., midseries) items' specific properties, including being isolated from rest of the items, can generate a local distinctiveness effect, enhancing the memory performance for the local items in serial recall or absolute judgments. However, this has not been the case in relative (comparative) judgments. For the first time, the present study found a local distinctiveness effect in comparative judgments by using an opposite-gender name for the midseries item in an otherwise uniformly one-gender name serial list. The reasons for the previous studies' failure to produce this effect in comparative judgments and the present study's success in obtaining it were discussed. The implication of the finding for the item/order information opponent-process theories was also suggested.

Land use legacies affect early tropical forest succession in Mexico

AbstractQuestionsAgricultural expansion is one of the dominant drivers of forest and biodiversity loss, and shifting cultivation is the most widely used form of agriculture in many tropical forest regions. Where forests have been cleared, they have the potential to recover once the land is abandoned. However, legacies of land use are often overlooked in successional studies, and a deeper understanding of this legacy effect is needed to define efficient restoration practices using natural or assisted regeneration. Here, we analysed how land‐use history affects soil properties and early succession on abandoned agricultural fields in two contrasting Mexican socio‐ecological systems.LocationMexico, Oaxaca and Chiapas.MethodsWe sampled soil and monitored vegetation for 2 years after agricultural abandonment, and interviewed landowners about their land‐use practices.ResultsLand‐use practices were clearly influenced by landowners’ social context (residence time, rural or urban origin), and topography and soil type also constrained or facilitated land‐use practices. Soil characteristics were strongly affected by three land‐use practices: mechanical tillage decreased soil N and K; frequent herbicide and pesticide use increased N and K; and for pasture systems, stocking density increased soil bulk density and decreased pH and N. High‐intensity land management practices, specifically use of machinery, had the highest impact on early forest succession. When machinery was not used, the frequency of land‐use practices, particularly weeding frequency, is the main factor influencing tree cover and sapling diversity.ConclusionsTo facilitate post‐agricultural forest recovery, we recommend restoration efforts using natural regeneration in areas with low previous land‐use intensity and frequency.

A comprehensive framework for vegetation succession

AbstractSuccession is defined as a directional change in species populations, the community, and the ecosystem at a site following a disturbance. Succession is a fundamental concept in ecology as it links different disciplines. An improved understanding of succession is urgently needed in the Anthropocene to predict the widespread effects of global change on succession and ecosystem recovery, but a comprehensive successional framework (CSF) is lacking. A CSF is needed to synthesize results, draw generalizations, advance successional theory, and make improved decisions for ecosystem restoration. We first show that succession is an integral part of socio‐ecological system dynamics and that it is driven by social and ecological factors operating at different spatial scales, ranging from the patch to the globe. We then present a CSF at the local scale (patch and landscape) at which succession takes place and explain the underlying successional processes and mechanisms operating at that scale. The CSF reflects the increasingly broader perspective on succession and includes recent theoretical advances by not only focusing on species replacement but also on ecosystem development, considering succession as part of a socio‐ecological system, and taking the effect of past and current land use, the landscape context, biotic interactions, and feedback loops into account. We discuss how the CSF can be used to integrate and synthesize successional studies, and its implications for ecosystem restoration.

Response surface methodology optimization of the effect of pH, contact time, and microbial concentration on chemical oxygen removal potential of vegetable oil industrial effluents.

The vegetable oil refinery industry generates highly polluted effluents during oil production, necessitating proper treatment before discharge to prevent environmental hazards. Treating such wastewater has become a major environmental concern in developing countries. Chemical oxygen demand (COD) is a key parameter in assessing the wastewater's organic pollutant load. High COD levels can lead to reduced dissolved oxygen in water bodies, negatively affecting aquatic life. Various technologies have been employed to treat oily wastewater, but microbial degradation has gained attention due to its potential to remove organic pollutants efficiently. This study aims to optimize the biodegradation treatment process for vegetable oil industrial effluent using response surface methodology (RSM). The wastewater's physicochemical properties were characterized to achieve this, and COD removal was analyzed. Furthermore, RSM was used to investigate the combined effects of pH, contact duration, and microbial concentration on COD removal efficiency. The result showed that the microbial strain used recorded a maximum COD removal of 92%. Furthermore, a quadratic model was developed to predict COD removal based on the experimental variables. From the analysis of variance (ANOVA) analysis, the model was found to be significant at p < 0.0004 and accurately predicted COD removal rates within the experimental region, with an R2 value of 90.99% and adjusted R2 value of 82.89%. Contour plots and statistical analysis revealed the importance of contact duration and microbial concentration on COD removal. PRACTITIONER POINTS: Response surface methodology (RSM) optimization achieved a significant chemical oxygen demand (COD) removal efficiency of 92% in vegetable oil industrial effluents. The study's success in optimizing COD removal using RSM highlights the potential for efficient and environmentally friendly wastewater treatment. Practitioners can benefit from the identified factors (pH, contact time, and microbial concentration) to enhance the operation of treatment systems. The developed predictive model offers a practical tool for plant operators and engineers to tailor wastewater treatment processes. This research underscores the importance of sustainable practices in wastewater treatment, emphasizing the role of microbial degradation in addressing organic pollutant loads.

Available Wireless Sensor Network and Internet of Things testbed facilities: dataset.

The availability of data is an important aspect of any research as it determines the likelihood of the study's commencement, completion, and success. The Internet of Things and Wireless Sensor Networks technologies have been attracting a huge amount of researchers for more than two decades, without having a consolidated or unified source that identifies and describes available Internet of Things and Wireless Sensor Network testbed facilities. In this paper, a dataset including 41 distinct testbed facilities is described. These testbed facilities are classified according to their key features such as Device Under Test (DUT) type, mobility, access level, facility count, connection/interaction interfaces, and other criteria. The systematic review process resulting in the gathered data set consisted of three filtering phases applied to relevant articles published between the years 2011 and 2021 as obtained from the Web of Science and SCOPUS databases.

MAGNETIC POLE REPULSIVE DAMPER (MPRD): A PROMISING SOLUTION FOR SEISMIC PROTECTION OF STRUCTURES

Owing to its high energy dissipation characteristics, the passive damper is an effective means of mitigating natural hazards for structures. In this study, a novel magnetic pole repulsive damper (MPRD), designed for reducing structural responses during natural hazards such as earthquakes, was developed and its performance was validated. The MPRD is an effective solution for seismic protection that works on the principle of magnetic repulsion and has a higher energy dissipation capacity than conventional dampers. The MPRD was fabricated using mild steel, neodymium magnets, and a set of helical springs. Two scaled reinforced concrete frames were tested using a 50 kN loading actuator. One frame was equipped with the MPRD, while the other served as a conventional frame for comparison. The frame with the MPRD showed reduced displacements. Compared with the conventional frame, that with the MPRD exhibited an increase in load of 40 % and an increase in energy dissipation of 6,44 %. Further, an increase in lateral stiffness, a 19,23 % increase in stiffness degradation, and changes in crack patterns were observed in the frame with MPRD compared to the conventional frame. The study's success in validating the MPRD performance in reducing structural responses in moderate to high seismicity regions makes it a promising solution for building seismic protection.

Subject and Family Perspectives from the Central Thalamic Deep Brain Stimulation Trial for Traumatic Brain Injury: Part II.

This is the second paper in a two-part series describing subject and family perspectives from the CENTURY-S (CENtral Thalamic Deep Brain Stimulation for the Treatment of Traumatic Brain InjURY-Safety) first-in-human invasive neurological device trial to achieve cognitive restoration in moderate to severe traumatic brain injury (msTBI). To participate, subjects were independently assessed to formally establish decision-making capacity to provide voluntary informed consent. Here, we report on post-operative interviews conducted after a successful trial of thalamic stimulation. All five msTBI subjects met a pre-selected primary endpoint of at least a 10% improvement in completion time on Trail-Making-Test Part B, a marker of executive function. We describe narrative responses of subjects and family members, refracted against that success. Interviews following surgery and the stimulation trial revealed the challenge of adaptation to improvements in cognitive function and emotional regulation as well as altered (and restored) relationships and family dynamics. These improvements exposed barriers to social reintegration made relevant by recoveries once thought inconceivable. The study's success sparked concerns about post-trial access to implanted devices, financing of device maintenance, battery replacement, and on-going care. Most subjects and families identified the need for supportive counseling to adapt to the new trajectory of their lives.

Necrophagous insect species succession on decomposed pig carcasses in North Dakota, USA.

Necrophagous insect species are widely used during death investigations primarily for the estimation of the minimum postmortem interval, since these species use decomposing organic matter for feeding, oviposition, and larval development. The development stages and successional colonization patterns provide important information for shorter or longer postmortem time intervals. Diptera species are the predominant taxa recovered from decomposed bodies. The temperature variance/seasonality is the main factor affecting the time presence and activity of these species. Other factors, such as geographical location, antemortem conditions, and cause of death, can influence the presence and succession of necrophagous entomofauna. Consequently, successional studies and information regarding species colonization patterns are needed for each geographical region to be used as reference data during death investigations. This study addressed the need to collect forensic entomological data for the State of North Dakota, within the first necrophagous entomofauna diversity report for the month of July 2022, using pig carcasses as human analogs. During the experimental period, 18 species of Diptera and Coleoptera were identified, with 10 new state records, while Calliphoridae was found to be the predominant family. The resulted data on necrophagous insect species diversity and dynamics from exposed pig carcasses will strengthen the current knowledge on forensic entomology in North Dakota and will serve as reference data to be used during death investigations in the Great Plains region.

Safe and effective profile of the VSTENT bioresorbable polymer sirolimus-eluting stent in the treatment of patients with de novo coronary artery lesions: a prospective, cohort, multicenter study.

The drug-eluting stent was a significant stride forward in the development of enhanced therapeutic therapy for coronary intervention, with three generations of increased advancement. VSTENT is a newly developed stent manufactured in Vietnam that aims to provide coronary artery patients with a safe, effective, and cost-efficient option. The purpose of this trial was to determine the efficacy and safety of a new bioresorbable polymer sirolimus-eluting stent called VSTENT. This is a prospective, cohort, multicenter research in 5 centers of Vietnam. A prespecified subgroup received intravascular ultrasound (IVUS) or optical coherence tomography (OCT) imaging. We determined procedure success and complications during index hospitalization. We monitored all participants for a year. Six-month and 12-month rates of major cardiovascular events were reported. All patients had coronary angiography after 6 months to detect late lumen loss (LLL). Prespecified patients also had IVUS or OCT performed. The rate of device success was 100% (95% CI: 98.3-100%; P<0.001). Major cardiovascular events were 4.7% (95% CI: 1.9-9.4%; P<0.001). The LLL over quantitative coronary angiography (QCA) was 0.08±0.19 mm (95% CI: 0.05-0.10; P<0.001) in the in-stent segment and 0.07±0.31 mm (95% CI: 0.03-0.11; P=0.002) in 5 mm within the two ends of the stent segment. The LLL recorded by IVUS and OCT at 6 months was 0.12±0.35 mm (95% CI: 0.01-0.22; P=0.028) and 0.15±0.24 mm (95% CI: 0.02-0.28; P=0.024), respectively. This study's device success rates were perfect. IVUS and OCT findings on LLL were favorable at 6-month follow-up. One-year follow-up showed low in-stent restenosis (ISR) and target lesion revascularization (TLR) rates, reflecting few significant cardiovascular events. VSTENT's safety and efficacy make it a promising percutaneous intervention option in developing nations.

Engaging transgender women in HIV research in South Africa

The Botshelo Ba Trans study was the first HIV bio-behavioral survey conducted with transgender women in South Africa. Engaging research with marginalized communities requires clear points of entry, reference points for understanding the internal culture, and establishing trust and understanding. The community-based participatory research approach guided the development and implementation of this study. We conducted a rapid qualitative and pre-surveillance formative assessment between August 2017 to January 2018 and a bio-behavioral survey between July 2018 and March 2019. At the start, a Steering Committee, comprising primarily of transgender women, was established and subsequently provided substantial input into the mixed methods study conducted in Buffalo City, Cape Town, and Johannesburg. Key to the study's success was building trust and establishing ownership of the survey by transgender women recognized as expert knowledge holders. Thus, a community-based participatory research-informed approach enhanced the validity of the data and ensured that we addressed relevant issues.

Medical Students' Understanding, Attitudes, and Awareness of Antibiotic Resistance

Background: Antibiotics are potent medication that can stop or significantly limit bacterial development. Misuse of antibiotics is a big issue around the world. Antibiotic resistance has become a major worldwide health concern since it is linked to more cases of illness and death, higher healthcare costs, and longer hospital stays. Numerous studies on antibiotic awareness have demonstrated cultural, behavioral, educational, and healthcare system differences in students' perspectives on antibiotics. The purpose of this pilot study was to assess medical students' perspectives, familiarity, and understanding of antibiotics at two Saudi Arabian universities. Aim: Examine medical students' understanding and perspective on the proper use of antibiotics. The purpose of this survey is to assess the level of knowledge regarding antibiotic resistance among medical students and to provide suggestions for reducing this problem. Methods: Students in the College of Medicine at Alfaisal University and Majmaah University were surveyed using a pre-designed, self-administered questionnaire for this study. A panel of specialists in the field has reviewed the questionnaire. The study's success will depend on the opinions of three distinct cohorts of future doctors. Results: The poll revealed a higher level of knowledge at Majmaah University (74.3%), but at Alfaisal University (71.81%) it was lower. Majmaah University had a higher rate of knowledge acquisition, according to the research. In addition, the study revealed that the rate of awareness at Al Faisal University was (86.35%), whereas the rate of awareness at Majmaah University was (87.13%), and the rate of attitude at Alfaisal University was (86.23%). Moreover, we discovered that as students’ progress in their education, so do their levels of knowledge, attitude, and awareness. Conclusion: The foundation of a thriving society is the use of sound scientific methods. Effective education, from this vantage point, plays a crucial role in imparting knowledge, awareness, and attitude that leads to change in behavior and habits, and therefore in the level of outputs that feed the community with a comprehensive health strategy.

Investigating bio-remediation capabilities of a constructed wetland through spatial successional study of the sediment microbiome

Constructed wetlands (CWs) are engineered environments designed to utilise natural processes to treat urban or industrial wastewater, with the core driver of the bioremediation process provided by the microorganisms present within. This study isolated 32 bacterial strains from sediment across the Sardar Bherry CW to find candidates with remediation properties and to understand how the physiochemical gradient from wastewater input influences the functional properties of the bacteria present. Bacterial isolates recovered closer to the wastewater effluence were more likely to be pathogenic, with increased haemolytic activity, causing high rates of fish mortality. In contrast, isolates recovered further from the wastewater source were observed to be non-pathogenic and have increased inhibitory effect against pathogenic strains. Extracellular proteins extracted from non-pathogenic isolates also appeared to be effective at inhibiting the growth of pathogenic bacteria, including multidrug resistant strains. Non-pathogenic isolates recovered across all sampling sites displayed the ability to reduce high levels of ammonia in solution during laboratory testing. Antibiogram assays of the recovered isolates showed a relatively high rate of multidrug resistant or marginally resistant bacteria across all sampling sites, highlighting a potential limitation within the CW bioremediation process in mitigating antibiotic resistant strains. This isolate based study provided an avenue to understand the influence of spatial succession from wastewater effluence on bacterial characteristics, as well as obtain candidates that can be further investigated for optimisation in bioremediation efforts. The cultured isolates can supplement future environmental sequencing studies by providing wet lab specimens to compare (meta)genomic information discovered within the CW ecosystem.

Available Wireless Sensor Network and Internet of Things testbed facilities: dataset

The availability of data is an important aspect of any research as it determines the likelihood of the study's commencement, completion, and success. The Internet of Things and Wireless Sensor Networks technologies have been attracting a huge amount of researchers for more than two decades, without having a consolidated or unified source, identifying and describing available Internet of Things and Wireless sensor network testbed facilities. In this paper, a dataset including 41 distinct testbed facilities is described. These testbed facilities are classified according to their key features such as Device Under Test (DUT) type, mobility, access level, facility count, connection/interaction interfaces along with other criteria. The systematic review process resulting in the gathered data set consisted of three filtering phases applied to relevant articles published between the years 2011 and 2021 as obtained from the Web of Science and SCOPUS databases.

Fall Decay Deceleration in Northern Latitudes: Merely a Matter of Cold?

The decomposition of cadavers and large vertebrate carcasses is the result of complex processes primarily influenced by ambient temperatures. Thus, low temperatures can alter decomposition by curtailing tissue autolysis and bacterial decomposition, and by limiting insect activity contributing to necromass removal. In this study, we tested whether carcass decomposition rate is modulated not only directly by temperature and insect occurrence, but also indirectly by the mediation of interactions among insects by ambient temperature. To test this, a comparative analysis of the decomposition of domestic pig carcasses in summer and fall was conducted in Atlantic Canada. The results indicated that carcass decomposition standardized to account for seasonal differences was significantly decelerated in the fall as opposed to the summer during the later decomposition stages and was sometimes incomplete. Moreover, the arrival, presence, and departure of insects from carcasses during ecological succession differed between summer and fall. Necrodes surinamensis (Fabricius) (Coleoptera: Silphidae) and Creophilus maxillosus (Linnaeus) (Coleoptera: Staphylinidae) maintained higher abundances late during succession in the fall than in the summer and their abundance was related to a decline in decomposition rates, probably because these species feed on dipteran larvae promoting necromass removal. These results demonstrate the variability in response to environmental parameters of insects of forensic importance and support the idea that slowed decomposition in the fall may be exacerbated by changes in interspecific interactions among insects. Furthermore, these results suggest that successional studies of insects carried out in the summer have little forensic utility for cadavers found in cold weather conditions.

Faktor-faktor yang Memengaruhi Keberhasilan Studi Penerima Bidikmisi di Universitas Sultan Ageng Tirtayasa

This study aims to analyze the influence of internal factors, external factors, service quality, and financial aid on the success of the study of Bidikmisi scholarship recipients at Sultan Ageng Tirtayasa University. The study used descriptive quantitative method with a retrospective survey approach. The sample of this study was 247 graduates of Bidikmisi recipients at Sultan Ageng Tirtayasa University. The data analysis technique used is Structural Equation Modeling (SEM) with LISREL software and Importance Performance Analysis (IPA). The results showed that internal, external, and service quality factors had a positive and significant relationship to the study's success, but financial aid did not affect the study's success. The indicator variable that best describes the internal factor is the academic self-concept, while for the external factor is the community environment, and for the service quality is responsiveness. Internal factors have the most significant influence on the success of the study of Bidikmisi recipients, while external factors have the least influence. It is advised to UNTIRTA to set their priority to increase the success of the study of Bidikmisi recipients by paying attention to internal factors, service quality, and external factors. Improving internal conditions is done by increasing academic interest and doing orientation at the beginning of the lecture. Improving the quality of service is done by improving the quality of information and the attitude of the manager's empathy, while improving external condition is done by completing studies with peer groups. Keywords: higher education management, SEM, success of study, bidikmisi, IPA

The Impact of Social Media Use of Start-ups on their Entrepreneurial Opportunities in Kerala

Purpose: Understanding the social media platforms that a startup can use to its advantage from the start is the primary necessity for the study. The study's success depends on having a solid understanding of the social media channels via which a starting business might make money right away. This study will help readers understand how social media can help new businesses and business owners who are up for the challenging realities of the corporate world. Thousands of new startups are formed every year with the aim of becoming the next big thing; some of these startups manage to achieve enormous success quickly. The majority of them won't make it a huge success, but a select handful are endowed with amazing ideas and even better leadership. In the success of a product, there is one term that is absolutely crucial: marketing. While some unsuccessful startups are a result of poor vision strategies that were developed early on, others fail as a result of other factors. This study used to analyse the impact of social media use of start-ups on their entrepreneurial opportunities in Kerala. Methodology: The study was conducted in Kerala. A questionnaire was used to collect the main data. The size of the organisation served as a suitable criterion for choosing the various entrepreneurs for this investigation. For this analysis, only startups were taken into account. 61 different samples in all were chosen. The samples were conveniently collected. The questionnaire served as the main method for gathering data. Finding: Social media is playing a bigger and bigger role in the fast-paced corporate world, and startups are not an exception. Social networking platforms open up a lot of chances for people, especially for business owners. In this study, it is found that most of the new entrepreneurs were used new social media to explore new opportunities for business development and the information about unexploited entrepreneurial opportunities through Social media gave a feeling of excitement to most of the entrepreneurs. Originality: The study was conducted in Ernakulam District in Kerala. The business entrepreneurs were considered for the study. The study used to analyse the impact of social media use of start-ups on their entrepreneurial opportunities in Kerala. Paper Type: Applied Research

Acoustic monitoring of carrion fly activity on human remains: a preliminary study

ABSTRACT We present the first study on the use of sound recordings to assess the activity of carrion flies as an alternative to labour intensive physical capture and identification with limited time resolution. Daily recordings were made of the fly activity on human cadavers in a simulated disaster scenario at the Australian Facility for Taphonomic Experimental Research (AFTER). The recordings were manually analysed for flight sounds and compared to the local environmental data. The results showed that the number of flight sounds was significantly affected by the temperature, daylight, and moderate to high rainfall but not by humidity. Reference recordings were also made of Blow flies (Diptera: Calliphoridae), Flesh flies (Diptera: Sarcophagidae), House flies (Diptera: Muscidae) and the Black Soldier flies (Stratiomyidae: Hermetia illucens) in a commercial fly farm and used to build a statistical classification model to test the feasibility of audio recognition for successional studies. Successional arrival and departure patterns were not observed for the recorded flies, although this could be the result of ineffective audio classification algorithm. Further in-depth studies are currently being done on different species and variations within the same species.