Identification Of Patterns Research Articles

Optical Coherence Tomography in Inherited Macular Dystrophies: A Review.

Macular dystrophies (MDs) constitute a collection of hereditary retina disorders leading to notable visual impairment, primarily due to progressive macular atrophy. These conditions are distinguished by bilateral and relatively symmetrical abnormalities in the macula that significantly impair central visual function. Recent strides in fundus imaging, especially optical coherence tomography (OCT), have enhanced our comprehension and diagnostic capabilities for MD. OCT enables the identification of neurosensory retinal disorganization patterns and the extent of damage to retinal pigment epithelium (RPE) and photoreceptor cells in the dystrophies before visible macular pathology appears on fundus examinations. It not only helps us in diagnostic retinal and choroidal pathologies but also guides us in monitoring the progression of, staging of, and response to treatment. In this review, we summarize the key findings on OCT in some of the most common MD.

Exploration of Community Empowerment in a Village as the Entrance to a Lake in East Java

The objective of this study is to investigate community empowerment initiatives aimed at providing support to communities located near a Lake in East Java, with a particular focus on Sidomukti village, which serves as the gateway to the Sarangan Lake (TNK). A case study strategy was employed to gather thorough data, utilising data-gathering approaches such as interviews, observation, and documentation. The employed methodology for data analysis is descriptive qualitative. Data analysis involves the systematic arrangement of data, its categorization into distinct units, its integration, the identification of patterns, the selection of significant elements for further investigation, and the formulation of conclusions. The findings of the study revealed that many empowerment initiatives were implemented in KNP-supporting villages, with a particular focus on villages. Notably, the Mandiri Tourism initiative within the National Community Empowerment Programme (PNPM) garnered a favourable reception from the local community. In addition to this, other local community empowerment programmes have emerged from both local and village government endeavours, as well as from the Sidomukti village community itself. One such initiative involves the establishment of tourism awareness clubs. The Sarangan Lake Tourism Association has led to the establishment of various entities in the accommodation industry, transportation services, restaurants, cafes, and art galleries. Additionally, the village-owned enterprise (BUMDES) STW of Village has empowered the local community in the fields of agriculture and agro-tourism. Furthermore, BUMDES has established strong connections with the wider society. BUMDES is comprised of nine hamlets. The organisation comprises three distinct business divisions, including the Coming Business Unit, the Tourism Unit, and the Savings and Loans Unit.

PM<sub>2.5</sub> air pollution trends and patterns in Kandy, Sri Lanka

Air pollution is the leading environmental hazard that has devastating health effects on human health. Identification of trends and patterns of air pollution is crucial in a specific geographic area to inform and implement effective control and mitigation measurements. Standard air pollution monitoring networks are costly for most low-and middle-income countries. The aim of this study was to investigate the variations in the mean concentrations of air pollutants that occur at various times of the day, days of the week, months of the year, and seasons during the period of January 2019 to December 2019 in Kandy, Sri Lanka using low-cost sensors. A regression analysis with dummy variables was used to model the relationship between the concentrations of air pollutants and categorical independent variables, the time of day and day of the week. Considering temporal variations, the study found that pollution is highest in the early morning and evening, and lowest in the afternoon. The worst days for the air quality were Wednesdays and Thursdays, while Sundays had the lowest PM2.5 pollution. The analysis of air quality variations by month showed that December had the lowest air pollution of the examined months. The variation in PM2.5 was greatly influenced by wind speed, wind direction, and rainfall patterns. The study emphasized the importance of long-term consistently management and monitoring of air pollution levels.

Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHD.

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that significantly affects children and adults worldwide, characterized by persistent inattention, hyperactivity, and impulsivity. Current research in this field faces challenges, particularly in accurate diagnosis and effective treatment strategies. The analysis of motor information, enriched by artificial intelligence methodologies, plays a vital role in deepening our understanding and improving the management of ADHD. The integration of AI techniques, such as machine learning and data analysis, into the study of ADHD-related motor behaviors, allows for a more nuanced understanding of the disorder. This approach facilitates the identification of patterns and anomalies in motor activity that are often characteristic of ADHD, thereby contributing to more precise diagnostics and tailored treatment strategies. Our approach focuses on utilizing AI techniques to deeply analyze patients' motor information and cognitive processes, aiming to improve ADHD diagnosis and treatment strategies. On the ADHD dataset, the model significantly improved accuracy to 98.21% and recall to 93.86%, especially excelling in EEG data processing with accuracy and recall rates of 96.62 and 95.21%, respectively, demonstrating precise capturing of ADHD characteristic behaviors and physiological responses. These results not only reveal the great potential of our model in improving ADHD diagnostic accuracy and developing personalized treatment plans, but also open up new research perspectives for understanding the complex neurological logic of ADHD. In addition, our study not only suggests innovative perspectives and approaches for ADHD treatment, but also provides a solid foundation for future research exploring similar complex neurological disorders, providing valuable data and insights. This is scientifically important for improving treatment outcomes and patients' quality of life, and points the way for future-oriented medical research and clinical practice.

Identification and Analysis of Enamel Rod End Patterns in Primary Anterior Teeth Using Automated Biometrics: An In Vitro Study.

Recording enamel rod end patterns can be considered an alternative to fingerprints, which are susceptible to decomposition or mutilation. The available literature revealed that limited research has been performed on the recording of enamel rod end patterns, and none has been performed on primary teeth. Hence, this in vitro observational study was performed with the aim of identifying and analyzing the different patterns of enamel rod endings of primary anterior teeth. The objectives of this study were to record the different patterns of enamel rod endings obtained from the enamel surface of primary maxillary and mandibular anterior teeth through biometric analysis. The enamel rod end patterns of 30 noncarious primary anterior teeth with intact crown structures were recorded using the acetate peel technique. The photomicrographs of the imprints were then subjected to biometric conversion using Verifinger Standard Software Development Kit® (SDK®) version 6.5 software. The enamel surface of primary anterior teeth, the following enamel rod end patterns were detected and recorded-wavy branched (WB), linear branched (LB), linear unbranched (LUB), Whorl (W), loop (L), and stem-like (SL) patterns. WB was the only pattern that predominated all of the samples. Only WB and LB emerged as a single subpattern. The patterns LUB, L, W, and SL were never observed alone; rather, they were combined with two, three, or four other subpatterns, primarily WB and LB. In this study, six enamel rod end patterns were identified and recorded on the enamel surface of primary anterior teeth. Suvarnan SK, Baghkomeh PN, Farzan JM. Identification and Analysis of Enamel Rod End Patterns in Primary Anterior Teeth Using Automated Biometrics: An In Vitro Study. Int J Clin Pediatr Dent 2024;17(2):149-152.

Perceptions and Controversies on Cholera in the Traditional Chinese Medicine Field in the Late Qing Dynasty

Abstract At the beginning of the initial cholera outbreak in China, Wang Qingren (王清任), after years of clinical trials, became an early representative who discovered the infectious characteristics and observed the course of cholera in the field of traditional Chinesse medicine (TCM). Kou Langao (寇兰皋) and Xu Zimo (徐子默), both medical practitioners, constructed a diagnosis and treatment system for cholera with cold patterns under the theory of typhoid. They represented “School of Cholera with Cold Patterns” (SCCP). In the 1860s, with the influence of Wang Shixiong’s (王士雄) studies on the nature of cholera under the theory of epidemic febrile disease, the “School of Cholera with Heated Patterns” (SCHP) prevailed thereafter. The two schools complemented each other in theories and contributed to the integrity of TCM in cholera diagnosis and treatment. By reviewing previous literature, books, clinical cases, and historical materials in medical field, this article aims 1) to summarise the influence of TCM on the cognitive development towards cholera in the late Qing dynasty; 2) to explore the origin of the controversy between SCCP and SCHP from historical evidence; 3) to summarize the historical lessons from the debate over cholera in TCM based on the principle of treatment based on pattern identification, and offer suggestions for the current prevention and treatment of new diseases using TCM.

Classification of Chip-Level Defect Types in Wafer Bin Maps Using Only Wafer-Level Labels

Abstract Defective chips in wafer bin maps (WBMs) form different spatial patterns depending on the root causes of process failures. Therefore, the identification of defect patterns in WBMs can help practitioners identify the root causes. Previous studies have focused on wafer-level classification even though chip-level classification can provide additional information regarding defect locations and defect sizes. Chip-level classification is more challenging than wafer-level classification because existing chip-level classification methods require chip-level labels, which are laborious to collect. We propose a method for chip-level defect classification using only wafer-level labels based on weakly supervised semantic segmentation. We first train a classification network using wafer-level labels and extract class activation maps (CAMs), which are visualizations of the discriminative regions. We then generate chip-level pseudo-labels using the extracted CAMs and use these labels to train a segmentation network, which predicts chip-level defect types. Experimental results verify the effectiveness of the proposed method.

Effects of microtopography on patterns and dynamics of groundwater–surface water interactions

Groundwater–surface water interaction is greatly affected by surface topography and agricultural activities in managed agricultural regions. Such an interaction increases the complexity of hierarchical groundwater flow systems. However, the combined effects of microtopography and agricultural activities on groundwater flow patterns remain unclear. In this study, an integrated groundwater–surface water model was used to quantify the impact of microtopographic variations on groundwater flow patterns in an agricultural region in northwest China. Numerical experiments were conducted under different scenarios representing various degrees of microtopography. The results indicated that microtopography plays a pivotal role in the transfer of signals from spatiotemporally varying surface processes to the groundwater flow. Without consideration of the microtopography, the stationary fractional Gaussian noise–type infiltration processes in the vadose zone–saturated zone interface may be incorrectly simulated as non-stationary fractional Brownian motion. Furthermore, fractal analysis reveals that the scaling exponents of the pressure head are highly sensitive within the vadose zone and local flow subsystems. Microtopography plays an important role in shaping the groundwater response time (GRT) pattern, which results in a smaller average GRT but a larger core range. Contrarily, neglecting microtopography may lead to overestimation of the water table ratio (WTR), resulting in erroneous identification of groundwater patterns as topography-controlled types. This study highlights the importance of microtopography in the formation and evolution of nested groundwater flow systems and provides guidance for groundwater–surface water interaction simulations in managed regions.

Signal2signal: Pushing the Spatiotemporal Resolution to the Limit by Single Chemical Hyperspectral Imaging.

There is growing interest in developing a high-performance self-supervised denoising algorithm for real-time chemical hyperspectral imaging. With a good understanding of the working function of the zero-shot Noise2Noise-based denoising algorithm, we developed a self-supervised Signal2Signal (S2S) algorithm for real-time denoising with a single chemical hyperspectral image. Owing to the accurate distinction and capture of the weak signal from the random fluctuating noise, S2S displays excellent denoising performance, even for the hyperspectral image with a spectral signal-to-noise ratio (SNR) as low as 1.12. Under this condition, both the image clarity and the spatial resolution could be significantly improved and present an almost identical pattern with a spectral SNR of 7.87. The feasibility of real-time denoising during imaging was well demonstrated, and S2S was applied to monitor the photoinduced exfoliation of transition metal dichalcogenide, which is hard to accomplish by confocal Raman spectroscopy. In general, the real-time denoising capability of S2S offers an easy way toward in situ/in vivo/operando research with much improved spatial and temporal resolution. S2S is open-source at https://github.com/3331822w/Signal2signal and will be accessible online at https://ramancloud.xmu.edu.cn/tutorial.

Epizootological and aetiopathogenetic aspects of mycobacterioses

Animal mycobacterioses, unlike those in humans, are not in the focus of veterinary science and practice for various reasons. This fact, as well as some others, including the growing incidence of human mycobacteriosis caused by non-tuberculous mycobacteria involved in the sensitisation of productive animals, is an objective, albeit indirect, indication of the existing problem of mycobacteriosis in veterinary medicine. This study employed the comparative geographical and epizootological methods of analysis. The findings obtained from the publications of scientists from around the world helped to summarise and objectively assess the severity of the epizootic situation regarding mycobacteriosis in animals in the world and in Ukraine, to identify a range of features of the infectious and epizootic processes, and to establish the dominant aetiopathogenetic criteria for this infection in animal populations. Animal mycobacteriosis is the subject of detailed scientific research in most countries of the world, as this disease is widespread among productive and unproductive (domestic and wild) animals, as well as the fish fauna of sea and river waters. It was found that the most common causative agents of mycobacteriosis are nontuberculous mycobacteria such as Mycobacterium avium complex, M. abscessus complex, M. kansasii, and M. fortuitum, and some others. In Ukraine, animal mycobacteriosis is not given due attention, even though parallergic reactions to tuberculin in cattle lead to complications in the diagnosis of tuberculosis infection. They cause considerable losses in dairy farming due to the culling and slaughter of highly productive cows. Identification of aetiopathogenetic patterns of paraallergic reactions to tuberculin in productive animals is a key to effective control and management of the epizootic process of animal mycobacteriosis and reduction of biohazards of human infection with non-tuberculous mycobacteria through food of animal origin

Identifying Correlated Functional Brain Network Patterns Associated with Touch Discrimination in Survivors of Stroke Using Automated Machine Learning

Stroke recovery is multifaceted and complex. Machine learning approaches have potential to identify patterns of brain activity associated with clinical outcomes, providing new insights into recovery. We aim to use machine learning to characterise the contribution of and potential interaction between resting state functional connectivity networks in predicting touch discrimination outcomes in a well-phenotyped, but small, stroke cohort. We interrogated and compared a suite of automated machine learning approaches to identify patterns of brain activity associated with clinical outcomes. Using feature reduction, the identification of combined ‘golden features’, and five-fold cross-validation, two golden features patterns emerged. These golden features identified patterns of resting state connectivity involving interactive relationships: 1. The difference between right insula and right superior temporal lobe correlation and left cerebellum and vermis correlation; 2. The ratio between right inferior temporal lobe and left cerebellum correlation and left frontal inferior operculum and left supplementary motor area correlation. Our findings demonstrate evidence of the potential for automated machine learning to provide new insights into brain network patterns and their interactions associated with the prediction of quantitative touch discrimination outcomes, through the automated identification of robust associations and golden feature brain patterns, even in a small cohort of stroke survivors.

Detecting Metastatic Patterns of Oligometastatic Breast Cancer: A Comparative Analysis of 18F-FDG PET/CT and Conventional CT Imaging.

Metastasis-directed therapy has the potential to improve progression-free and overall survival in oligometastatic disease (OMD). For breast cancer, however, randomized trials have failed so far to confirm this finding. Because the concept of metastasis-directed therapy in OMD is highly dependent on the accuracy of the imaging modality, we aimed to assess the impact of 18F-FDG PET/CT on the definition of OMD in breast cancer patients. Methods: Eighty patients with a total of 150 18F-FDG PET/CT images (between October 2006 and January 2022) were enrolled in this retrospective study at the Technical University of Munich. The inclusion criteria were OMD, defined as 1-5 distant metastases, at the time of 18F-FDG PET/CT. For the current study, we systemically compared the metastatic pattern on 18F-FDG PET/CT with conventional CT. Results: At the time of 18F-FDG PET/CT, 21.3% of patients (n = 32) had a first-time diagnosis of metastatic disease, 40.7% (n = 61) had a previous history of OMD, and 38% (n = 57) had a previous history of polymetastatic disease. In 45.3% of cases, the imaging modality (18F-FDG PET/CT vs. conventional CT) had an impact on the assessment of whether OMD was present. An identical metastatic pattern was observed in only 32% of cases.18F-FDG PET/CT detected additional metastases in 33.3% of cases, mostly in the nonregional lymph node system. Conclusion: The use of 18F-FDG PET/CT had a substantial impact on the definition of OMD and detection of metastatic pattern in breast cancer. Our results emphasize the importance of establishing a standardized definition for imaging modalities in future trials and clinical practices related to metastasis-directed therapy in breast cancer patients.

Thanatognomonic substantiation of the forensic veterinary diagnosis in the death of dogs and cats due to haemodynamic disorders and hypoxaemia

At present, there are no legally consolidated, regulated procedures for conducting forensic veterinary examination of animal cadavers in Ukraine, which makes it difficult for law enforcement agencies to objectively qualify forms of administrative and criminal offences within the framework of pre-trial investigations. Therefore, scientifically sound research results in the field of animal treatment are of particular relevance. The purpose of this study was to substantiate the cause-and-effect relationships in the genesis of violent death of animals caused by mechanical injuries, thermal trauma, and mechanical asphyxiation with the identification of thanatognomonic patterns according to a two-level system of evidence. Methods of comprehensive forensic veterinary examination of animal cadavers were employed, followed by logical and epistemological processing of the results. It was argued that the main links of thanatogenesis in the case of death of animals from these species are irreversible haemodynamic disorders and acute hypoxemia. Based on this approach, an estimate of the area of pathological damage to internal organs incompatible with life is proposed, followed by an “expert hypothesis” regarding the determining cause of the animal’s death. The morphological positions of the forensic veterinary diagnosis in the form of thanatognomonic positions inherent in a certain subspecies of violent animal death were distinguished by two levels of evidence and their criterion informativeness was proved. Patterns of rapid death of animals of the first level of evidence common to the fatal consequences of mechanical and thermal trauma and mechanical asphyxiation were established: “asphyxiated heart”, congestive venous hyperaemia of internal organs, Tardieu’s spots, alveolar emphysema of the lungs. Patterns of the second level of evidence were selectively randomised and their species specificity was presented. The circumstances under which animals suffer fatal mechanical and thermal injuries and asphyxiation were detailed, and the mechanisms of death were substantiated. The study focused on the specific features of argumentation in concluding the necessary direct causal link between the genesis of violent death and the cause of death. The findings obtained following the standard of evidentiality “study of the object of forensic veterinary examination at different morphological levels” are recommended for implementation in the practice of forensic veterinary examination of animal cadavers

Epidemiology of Paediatric Fractures at Koshi Hospital, A Tertiary Center in Eastern Nepal

Introduction: Paediatric trauma is a leading cause of disability, hospitalization and may lead to mortality in pediatric population. Incidence and nature of fracture varies according to region, culture, seasonal variations and age. Children are more prone to have injury at play grounds, due to fall from height and also due to road traffic accident due to unmanaged traffic and lack of road safety measures. Identification of specific high-risk injury patterns may lead to improved care and outcome. This study aims to find out the epidemiological profile of paediatric injuries presenting to a tertiary care hospital in eastern Nepal. Objective: To study the common fractures and their management in the paediatric age group at Koshi hospital. Methodology: This was a hospital based retrospective cross-sectional study done among 424 paediatric patients at Koshi hospital from January 2021 to December 2021.Ethical clearance was taken from Nepal health research council . Data collection was done from the outpatient (OPD), emergency and the operation room records and was compiled in Microsoft excel 2007. Results: A total of 424 paediatric fractures were taken into study over the duration of one year. Out of which 288 were male (67.92%) and 136(32.08%) were female. Playground injuries were the most common cause of paediatric fractures (49.76%) followed by fall from height (27.35%) and road traffic accident (12.26%). Distal radius and ulna fracture was found to be most common (30.89%). Conclusion: Distal radius and ulna is the commonly fractured bone followed by supracondylar fractures of the humerus. Most of the paediatric fractures can be managed conservatively. Supervised play in the grounds, at home and at schools are important because paediatric injuries most of the times can be prevented to decrease the morbidity and mortality in the paediatric population. Proper knowledge and awareness of the traffic rules and zebra crossings should be implemented with local community participation and cooperation.

Tigroid Enhancement: A Characteristic Enhancement Pattern of the Cerebellar Hemisphere on MRI With Intracranial Dural Arteriovenous Fistulas.

This study aims to investigate a characteristic cerebellar hemisphere enhancement pattern on magnetic resonance imaging (MRI) that could aid in early and specific diagnosis of intracranial dural arteriovenous fistulas (DAVFs). Pretreatment MR images of 57 patients with intracranial DAVFs between January 1, 2017, and February 28, 2023, were retrospectively analyzed. A total of 128 patients with confirmed alternative cerebellar lesions during the same period were included as a control group. All patients underwent enhanced MRI with a 3.0T scanner. The presence or absence of parallel enhanced linear striations on the surface of the cerebellar lesions was documented. Statistically significant differences were determined by the Fisher exact test. Cerebellar lesions were identified in 4 intracranial DAVF patients (7.0%). All 4 patients were male, with an average age of 64 years (range: 58-76 years). The pretreatment MR images of all 4 DAVF patients with cerebellar lesions demonstrated the characteristic tigroid enhancement pattern. Tortuous flow voids were present in the MR images of 3 of the 4 patients. Tigroid enhancement pattern was not observed in the remaining 53 intracranial DAVF patients and all control patients. The differences in the incidence of the pattern were significant (p=0.01). A characteristic tigroid enhancement pattern of the cerebellar hemisphere on MRI may aid in the early and specific diagnosis of intracranial DAVFs, allowing timely treatment and improving outcomes. The identification of a characteristic tigroid enhancement pattern on MRI for cerebellar hemisphere lesions holds significant promise for clinical practice. This pattern serves as a distinctive marker aiding in the early and specific diagnosis of intracranial dural arteriovenous fistulas (DAVFs). Clinicians can now utilize this innovative finding to expedite diagnostic workflows, enabling timely intervention and management strategies. The incorporation of this novel imaging feature enhances diagnostic accuracy, potentially reducing misdiagnosis rates and preventing delays in treatment initiation. Ultimately, this advancement may lead to improved patient outcomes and quality of care in neurosurgical and neuroradiological practice.

Preparing Pharmacists for the Digital Age: How Pharmacy Courses are Adapting to Challenges and Opportunities

ObjectiveAs the digitalization of health accelerates, the fusion of pharmacy and informatics becomes crucial. Pharmacy education must adapt to equip professionals for this evolving landscape. This study aims to compare pharmacy curricula in Brazil and the United States of America, focusing on health informatics, to uncover challenges and opportunities in training pharmacists for the digital era. MethodsA cross-sectional, descriptive analysis was conducted on pharmacy curricula from leading Brazilian and American universities in early 2024. Two independent researchers collected data, concentrating on health informatics–related courses. Curriculum analysis used the n-gram technique for linguistic pattern identification in course descriptions. ResultsThe analysis included curricula from 147 Brazilian and 140 American institutions. American programs had more health informatics courses, with greater integration into pharmacy and higher workloads. Brazilian courses were fewer, less specialized, and less integrated with pharmacy practice. Bi-gram analysis showed that the United States emphasized pharmaceutical practice and technologies, while Brazil focused more broadly on public health. Challenges include Brazil’s slower integration of health informatics, impacting competitiveness. The study highlights opportunities to enhance curricula in both countries, emphasizing the importance of health informatics courses. ConclusionUS pharmacy programs are further developed by providing specialized, high-quality digital health education with extensive coursework, reflecting a curriculum aligned with digital advancements. This stands in stark contrast to Brazilian programs, which show a need for comprehensive curriculum revision to effectively prepare pharmacists for the digital age. This study underscores the urgency for global pharmacy education reform and its alignment with the rapid evolution of digital health.

Geochemical Analyses to Make the Invisible More Concrete: Cycles of Building Use and Roof Hatches at the Early Neolithic Site of Aşıklı Höyük

ABSTRACT This study focuses on understanding the use of space at Aşıklı Höyük in central Turkey through the geochemical analyses of five overlying floors of a quadrangular mudbrick building dating to the Pre-Pottery Neolithic Period. The research allows us to follow the process on a micro-scale, from the design and construction of the structure to its abandonment. We aim to perceive the role of plastered floors to gain insights into the producers and users of the building and those who kept it alive and maintained it. We will treat floors as one of the main actors of these spaces and zero in on entangled relationships by addressing a range of other aspects in the building. The analyses enable the identification of use patterns. Based on our results, we attempt to provide suggestions about the location of the roof hatches and hence the main access of the inhabitants to the external world.

Validating ΔΔG Selectivity Descriptor for Electrosynthesis of H2O2 from Oxygen Reduction Reaction

AbstractUnderstanding selectivity trends is a crucial hurdle in the developing innovative catalysts for generating hydrogen peroxide through the two‐electron oxygen reduction reaction (2e‐ORR). The identification of selectivity patterns has been made more accessible through the introduction of a newly developed selectivity descriptor derived from thermodynamics, denoted as ΔΔG introduced in Chem Catal. 2023, 3(3), 100568. To validate the suitability of this parameter as a descriptor for 2e‐ORR selectivity, we utilize an extensive library of 155 binary alloys. We validate that ΔΔG reliably depicts the selectivity trends in binary alloys reported for their high activity in the 2e‐ORR. This analysis also enables the identification of nine selective 2e‐ORR catalysts underscoring the efficacy of ΔΔG as 2e‐ORR selectivity descriptor. This work highlights the significance of concurrently considering both selectivity and activity trends. This holistic approach is crucial for obtaining a comprehensive understanding in the identification of high‐performance catalyst materials for optimal efficiency in various applications.

Validating ΔΔG Selectivity Descriptor for Electrosynthesis of H2O2 from Oxygen Reduction Reaction.

Understanding selectivity trends is a crucial hurdle in the developing innovative catalysts for generating hydrogen peroxide through the two-electron oxygen reduction reaction (2e-ORR). The identification of selectivity patterns has been made more accessible through the introduction of a newly developed selectivity descriptor derived from thermodynamics, denoted as ΔΔG introduced in Chem Catal. 2023, 3(3), 100568. To validate the suitability of this parameter as a descriptor for 2e-ORR selectivity, we utilize an extensive library of 155 binary alloys. We validate that ΔΔG reliably depicts the selectivity trends in binary alloys reported for their high activity in the 2e-ORR. This analysis also enables the identification of nine selective 2e-ORR catalysts underscoring the efficacy of ΔΔG as 2e-ORR selectivity descriptor. This work highlights the significance of concurrently considering both selectivity and activity trends. This holistic approach is crucial for obtaining a comprehensive understanding in the identification of high-performance catalyst materials for optimal efficiency in various applications.

TimeTector: A Twin-Branch Approach for Unsupervised Anomaly Detection in Livestock Sensor Noisy Data (TT-TBAD).

Unsupervised anomaly detection in multivariate time series sensor data is a complex task with diverse applications in different domains such as livestock farming and agriculture (LF&A), the Internet of Things (IoT), and human activity recognition (HAR). Advanced machine learning techniques are necessary to detect multi-sensor time series data anomalies. The primary focus of this research is to develop state-of-the-art machine learning methods for detecting anomalies in multi-sensor data. Time series sensors frequently produce multi-sensor data with anomalies, which makes it difficult to establish standard patterns that can capture spatial and temporal correlations. Our innovative approach enables the accurate identification of normal, abnormal, and noisy patterns, thus minimizing the risk of misinterpreting models when dealing with mixed noisy data during training. This can potentially result in the model deriving incorrect conclusions. To address these challenges, we propose a novel approach called "TimeTector-Twin-Branch Shared LSTM Autoencoder" which incorporates several Multi-Head Attention mechanisms. Additionally, our system now incorporates the Twin-Branch method which facilitates the simultaneous execution of multiple tasks, such as data reconstruction and prediction error, allowing for efficient multi-task learning. We also compare our proposed model to several benchmark anomaly detection models using our dataset, and the results show less error (MSE, MAE, and RMSE) in reconstruction and higher accuracy scores (precision, recall, and F1) against the baseline models, demonstrating that our approach outperforms these existing models.