Miracle-dz/UniFAR-FTUs huggingface dataset:
Wafer Bin Map Recognition With Autoencoder-Based Data Augmentation in Semiconductor Assembly Process

Semiconductor manufacturers use the wafer bin map recognition (WBMR) system to identify failure modes in processing. This study proposes an WBMR system embedded with three modules: data preprocessing, region classification, and systematic pattern recognition. After using a revised Jaccard index to separate random patterns from systematic patterns, we compare three data augmentation techniques, particularly autoencoder-based, to find the best augmented method that addresses any data imbalance problems between the defect classes. We propose an adaptive algorithm to determine the amount of generated data. We describe the two tools, t-distributed stochastic neighbor embedding (t-SNE) and earth mover’s distances (EMD) we use to quantify and visualize the information content of the augmented dataset. Finally, we use an inception architecture of convolutional neural network (CNN) to improve the WBMR system’s recognition accuracy. An empirical study of the semiconductor assembly manufacturer and a public dataset validate that our proposed WBMR system effectively recognizes different types of defective patterns.
The informal mode of management: neo-patriarchy and wasta in a Saudi organisation

ABSTRACT Using the labour process theory as an analytical lens, this research revisits the concept of neo-patriarchy with the aim of exploring what it means for manager-worker relations in male-only workplaces. The empirical findings from the in-depth qualitative case study show that neo-patriarchal societal structure is reinforced at the workplace level as the firm deliberately excludes hiring females, eliminates most formal regulations, and managers rely on informal practices to recruit, reward and control labour. This has resulted in workers solidifying personal relationships ‘wasta’ to reduce effort and receive extra benefits. This article makes two contributions: first, it brings the capitalist logic of profit generation into the analysis of manager-worker relations in neo-patriarchal societies. Second, it contributes to the literature on workplace relations in the Arab Middle East by exploring the material base of excluding female labour (i.e. patriarchy) and the use of informal managerial tactics to subordinate male labour (i.e. neo-patriarchy).
Discovery, Development, Inventions and Patent Review of Fexinidazole: The First All-Oral Therapy for Human African Trypanosomiasis

Human African trypanosomiasis (HAT or ‘sleeping sickness’) is a neglected tropical disease. If untreated, it is always fatal and leads to death. A few treatments are available for HAT, but most of them require a skilled professional, which increases the financial burden on the patient. Recently, fexinidazole (FEX) has been approved by the European Medicine Agency (EMA) and the United States Food and Drug Administration (USFDA) as the first all-oral therapy for the treatment of stage-1 (hemolymphatic) as well as stage-2 (meningoencephalitic) of HAT. Before the FEX approval, there were separate treatments for stage-1 and stage-2 of HAT. This study reviews the discovery, development timeline, inventions, and patent literature of FEX. It was first approved by EMA and USFDA in 2018 and 2021, respectively. FEX was also added to the World Health Organization’s list of essential drugs in 2019. The patent literature search revealed many types of patents/patent applications (compound, salt, process, method of treatment, drug combinations, and compositions) related to FEX, which have been summarized in this article. The authors foresee a great scope to develop more inventions based on FEX (novel salts, polymorphs, drug conjugates, cyclodextrin complex, etc.) for the treatment of many protozoal diseases (Leishmaniasis and Chagas disease), inflammatory diseases, and other microbial infections. New combinations of FEX with other treatments of HAT may also provide fruitful results. This review might be useful to the scientists working on the HAT and other neglected diseases to develop novel inventions and innovations of therapeutic relevance.
Efficacy and Drug Survival after Switching from Etanercept to the Biosimilar SB4: A Real-Life Long-Term Study

We evaluated the 3-year drug survival and efficacy of the biosimilar SB4/Benepali in rheumatoid arthritis (RA), psoriatic arthritis (PsA) and ankylosing spondylitis (AS) patients, previously treated with etanercept (ETA). Drug survival rate was calculated using the Kaplan–Meier method and Cox proportional hazard models were developed to examine predictors of SB4 discontinuation. 236 patients (120 RA, 80 PsA and 36 AS), aged 60.7 ± 13.8 years and with an ETA duration of 4.1 ± 3.4 years were included. The 3-year retention rate for SB4 was 94.4%, 88% and 86% in AS, RA and PsA patients, respectively, with no difference between groups. Patients without comorbid disease had higher retention rates vs. patients with comorbid disease (90% vs. 60%, p < 0.0001). Disease activity, as measured by DAS28, DAPSA and BASDAI remained stable over the 3 years. Comorbid disease (hazard ratio; HR: 4.06, p < 0.0001) and HAQ at baseline (HR: 2.42, p = 0.0024) significantly increased the risk of SB4 discontinuation, while previous ETA duration was negatively associated with SB4 discontinuation (HR: 0.97, p = 0.0064). Forty-one (17.4%) patients left the study due to the interruption of the SB4 treatment, 31 (75.6%) discontinued due to inefficacy and 10 (24.4%) due to adverse events. This real-life study confirms the similar efficacy profile of ETA with long-term retention and a good safety profile in inflammatory arthritis patients.
Particulate matter levels and comfort conditions in the trains and platforms of the Athens underground metro

A study of indoor environmental quality inside the old (naturally ventilated) and new (air-conditioned) train cabins and platforms of four main stations of the Athens subway system (Attiko Metro), took place in different two-day measurements from June to August 2012. Portable instrumentation provided continuous measurements of particulate matter (PM 10 , PM 2.5 and PM 1 ), carbon dioxide (CO 2 ) along with temperature (T) and absolute humidity (AH). PM concentrations were significantly higher on the underground platforms of the network from 3 to 10 times, as compared to outdoor measurements. In particular, mean PM 1 , PM 2.5 and PM 10 concentrations at the deeper and most crowded station of Syntagma reached 18.7, 88.1 and 320.8 μg m −3 respectively. On the contrary, the ground level, open station of the Airport, showed values comparable to the outdoor (2, 6.4 and 34.4 μg m −3 , respectively). All PM fractions were lower than the platforms inside the old and new train cabins while the air conditioned trains experienced lower particulate pollution levels. More specifically, mean PM 1 , PM 2.5 and PM 10 concentrations were 5.5, 16.8 and 58.3 μg m −3 , respectively in new cabins while in the old they reached 10.3, 47.5 and 238.8 μg m −3 . The PM 2.5 /PM 10 and PM 1 /PM 2.5 ratios did not exceed 0.33 on both platforms and trains verifying the dominance of crustal coarse particles originating from the train and ground materials. As expected CO 2 levels were higher inside the trains as compared to the platforms and in some cases surpassed the 1000 ppm limit during the hottest days of the experimental campaign. Temperature and humidity remained relatively stable on the platforms, whereas measurements inside the cabins fluctuated, depending on the type of train and track locations. Correlations between measured PM along the routes to and from the Airport indicated covariance of concentrations along train cabins of the same direction.
European Hophornbeam Biomass for Energy Application: Influence of Different Production Processes and Heating Devices on Environmental Sustainability

Environmental sustainability has recently shifted towards biodiversity protection via governmental and intergovernmental initiatives (e.g., the UN Millennium Ecosystem Assessment, MA). The life cycle assessment, the widespread method for assessing environmental sustainability, was not created to evaluate impacts on biodiversity. However, several authors recognize its ability to estimate biodiversity loss drivers (impact indices on land use change and ecosystem). The study aims to apply LCA to the forest sector, precisely to the wood–energy chain of Hophornbeam, to cover suggestions of the MA for the biodiversity impact assessment. Six different scenarios for stove (3) and fireplace (3) wood production were analyzed, evaluating two baselines and four alternative scenarios, including sensitivity analyses related to transport distances for the raw materials. The functional unit is 1 MJ of energy. The fireplace combustion scenarios are relatively more sustainable than the stove ones are (2.95–3.21% less). The global warming potential (around 3 g CO2 eq/MJ) is consistent with current European directives on the sustainability of biofuels and scientific literature. The scenarios showed similarities regarding the impact of the categories related to MA drivers. Although biodiversity is protected by limiting forest management, some authors argue that for some species (e.g., Hophornbeam), a rational tree felling could produce biofuels, increasing biodiversity.
Disturbance Tracking Control Theory with Application to Horizontal Axis Wind Turbines

A new control problem, which arises in active control of variable speed horizontal axis wind turbines for electric power generation, is discussed. Feedback control of a linear plant, which is persistently disturbed, must cause the plant output to track a linear function of the disturbance. Theory, which will guarantee stable disturbance tracking, is developed using the method of aggregation. These results are related to the better known Disturbance Accommodating Control Theory and applied to create a tip speed ratio tracking controller for a horizontal axis wind turbine generator.
CONTRIBUIÇÃO DA CERTIFICAÇÃO ORGÂNICA PARA UM NOVO MODELO DE GOVERNANÇA NO COMPLEXO AGROINDUSTRIAL CITRÍCOLA BRASILEIRO Organic Certification's Contribution to a New Governance Model in the Brazilian Citrus Complex

This paper compares governance structures in the Brazilian citrus production that appeared with the process of international certification of organic products. Both governance structures, between organic orange production and the processing plant, are analyzed through a study case methodology. These two governance structures are different from the traditional dominant structures that were consolidated with the industrial oligopoly of frozen and concentrated orange juice production along the last thirty years in Brazil. The analyzed cases (onward integration and onward partial-integration) can be used as a reference for possible penetrations of alternative organizational forms in citrus production in an agro-industrial complex predominantly directed at commodity exportation (frozen concentrated orange juice) that has been excluding thousands of citrus producers since 1990. The theoretical basis of this work is the new institutional economy (NIE), known as transaction cost approach. The results of the case studies show that organic certification of orange production and processing leads to more integrated governance structures in citrus production, as it increases agricultural products’ assets specificity and moral hazard risks in commercialization.
Characterization of the Atlantic Water and Levantine Intermediate Water in the Mediterranean Sea using 20 years of Argo data

Abstract. Atlantic Water (AW) and Levantine Intermediate Water (LIW) are important water masses that play a crucial role in the internal variability of the Mediterranean thermohaline circulation. To be more specific, their variability and interaction, along with other water masses that characterize the Mediterranean basin, such as the Western Mediterranean Deep Water (WMDW), contribute to modify the Mediterranean Outflow through the Strait of Gibraltar, and hence they may influence the stability of the global thermohaline circulation. This work aims to characterize AW and LIW in the Mediterranean Sea, taking advantage of the large observational dataset (freely available on https://argo.ucsd.edu, https://www.ocean-ops.org, last access: 17 January 2022; Wong et al., 2020) provided by Argo floats from 2001 to 2019. AW and LIW were identified using different diagnostic methods, highlighting the inter-basin variability and the strong zonal gradient that both denote the two water masses in this marginal sea. Their temporal variability was also investigated over the last 2 decades, providing a more robust view of AW and LIW characteristics, which have only been investigated using very short periods in previous studies due to a lack of data. A clear salinification and warming trend characterize AW and LIW over the last 2 decades (∼ 0.007 ± 0.140 and 0.006 ± 0.038 yr−1; 0.026 ± 0.715 and 0.022 ± 0.232 ∘C yr−1, respectively). The salinity and temperature trends found at sub-basin scale are in good agreement with previous results. The strongest trends are found in the Adriatic basin in the properties of both AW and LIW.
Functional and structural deficiencies of Gemin5 variants associated with neurological disease

Dysfunction of RNA-binding proteins are often linked to a wide range of human disease in general, and particularly with neurological conditions. Gemin5 is a member of the survival of motor neuron (SMN) complex, a ribosome-binding protein and a translation reprogramming factor. Recently, pathogenic mutations in Gemin5 protein have been reported but the functional consequences of these variants remain elusive. Here we report functional and structural deficiencies associated with compound heterozygosity variants within the Gemin5 gene found in patients with neurodevelopmental disorders. These clinical variants are located in key domains of Gemin5, the tetratricopeptide repeat (TPR)-like dimerization module and the non-canonical RNA-binding site 1 (RBS1). We show that the TPR-like variants disrupt protein dimerization while the RBS1 variant confers protein instability. All mutants are defective in the interaction with protein networks involved in translation and RNA-driven pathways. Importantly, the TPR-like variants fail to associate with native ribosomes, abolishing the cap-dependent and selective translation control of Gemin5, and establishing a functional difference with the wild type protein. Our study provides a molecular basis of disease associated with malfunction of Gemin5 protein.
Prevalence of Borrelia burgdorferi in Ixodidae Tick around Asia: A Systematic Review and Meta-Analysis

Lyme disease (LD) is a common arthropod-borne inflammatory disorder prevalent in the northern hemisphere. LD is caused by a spirochete named Borrelia burgdorferi s.l. , which is transmitted to humans by ticks. Climate, environment, and other factors affect land use; recreational-behavior changes affect human contact with infected ticks. Studies in Europe and North America have looked at these aspects, but studies in Asia have not. We searched databases to identify all relevant abstracts published until March 2021. A meta-analysis was undertaken using the standard methods and procedures established by the Cochrane Collaboration. Ninety-one articles were included in our meta-analysis. The literature search identified data from nine countries (China, Japan, Malaysia, Mongolia, Pakistan, Russia Siberia region, South Korea, Thailand and Turkey). Furthermore, 53,003 ticks from six genera (Amblyomma, Dermacentor, Haemaphysalis, Hyalomma, Ixodes and Rhipicephalus) were inspected for infection with B. burgdorferi. The pooled prevalence was 11.1% (95% CI = 8.3–14.2%). Among the nine countries, China had the most studies (56) and Malaysia had the highest infection rate (46.2%). Most infected ticks were from the genera Ixodes and Haemaphysalis. Ticks of the genus Ixodes had the highest infection rate (16.9%). Obvious heterogeneity was noted in our meta-analysis. We analyzed the heterogeneity with regard to countries, genera, time points, and detection methods. This study suggests that Ixodes, Haemaphysalis and Dermacentor may be the most common tike of B. burgdorferi-positive in Asia. The highest proportion of ticks infected by B. burgdorferi were from the genus Ixodes. This meta-analysis is the first attempt to explain the B. burgdorferi infection of hard-body ticks in Asia. The infection rate for each country and infection rate of different tick genera were analyzed: there were large differences between them. The literature is concentrates mainly on East Asia, and data are limited. Our study can provide a reference for a more comprehensive and in-depth investigation of ticks in Asia infected by B. burgdorferi spirochetes.
Beyond the School Walls: Collective Impact in Micropolitan School-Community Partnerships

ABSTRACT Research suggests that the time students spend outside of school, as well as the communities in which they spend it, impact educational outcomes. Inequitable educational outcomes are the result of complex, interdependent problems in the public and private sector, suggesting the need for approaches that bring together schools with other organizations to address problems in the ecological and developmental systems of family, school, out-of-school programs, and communities. Collective impact has gained prominence as a strategy for such cross-sector partnerships. This qualitative study uses a comparative approach to extend knowledge of collective impact into rural and micropolitan communities using civic capacity as a framework. It identifies limitations in mobilization of members and issue framing which suggest a need to reconceptualize collective impact as a political arrangement, rather than an organizational one. The findings suggest the need to engage in community organizing activities to build political capital by confronting social isolation and exclusion among groups, examining power and privilege among community members and developing critical place-based leadership for intergenerational capacity building.
microRNA-21 Regulates Stemness in Pancreatic Ductal Adenocarcinoma Cells

Pancreatic ductal adenocarcinoma (PDAC) is the most common and aggressive type of pancreatic cancer (PCa) with a low survival rate. microRNAs (miRs) are endogenous, non-coding RNAs that moderate numerous biological processes. miRs have been associated with the chemoresistance and metastasis of PDAC and the presence of a subpopulation of highly plastic “stem”-like cells within the tumor, known as cancer stem cells (CSCs). In this study, we investigated the role of miR-21, which is highly expressed in Panc-1 and MiaPaCa-2 PDAC cells in association with CSCs. Following miR-21 knockouts (KO) from both MiaPaCa-2 and Panc-1 cell lines, reversed expressions of epithelial–mesenchymal transition (EMT) and CSCs markers were observed. The expression patterns of key CSC markers, including CD44, CD133, CX-C chemokine receptor type 4 (CXCR4), and aldehyde dehydrogenase-1 (ALDH1), were changed depending on miR-21 status. miR-21 (KO) suppressed cellular invasion of Panc-1 and MiaPaCa-2 cells, as well as the cellular proliferation of MiaPaCa-2 cells. Our data suggest that miR-21 is involved in the stemness of PDAC cells, may play roles in mesenchymal transition, and that miR-21 poses as a novel, functional biomarker for PDAC aggressiveness.
Bit Error Probability of Turbo-coded PPM Systems with and without Perfect Synchronization

In this paper, we study the performance of turbo codes in Poisson optical channels with pulse position modulation (PPM). We conduct simulations because the simulated performance is more accurate than the performance bound obtained by union bounds in previous publications. We modify the iterative decoding algorithm to apply turbo codes to PPM. The simulation results show that the PPM system has significant performance improvements over the system using on-off keying (OOK) modulation. They also show that the turbo-coded PPM system has significant performance degradation in imperfect synchronized situation.
COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK

To facilitate effective targeted COVID-19 vaccination strategies, it is important to understand reasons for vaccine hesitancy where uptake is low. Artificial intelligence (AI) techniques offer an opportunity for real-time analysis of public attitudes, sentiments, and key discussion topics from sources of soft-intelligence, including social media data. In this work, we explore the value of soft-intelligence, leveraged using AI, as an evidence source to support public health research. As a case study, we deployed a natural language processing (NLP) platform to rapidly identify and analyse key barriers to vaccine uptake from a collection of geo-located tweets from London, UK. We developed a search strategy to capture COVID-19 vaccine related tweets, identifying 91,473 tweets between 30 November 2020 and 15 August 2021. The platform's algorithm clustered tweets according to their topic and sentiment, from which we extracted 913 tweets from the top 12 negative sentiment topic clusters. These tweets were extracted for further qualitative analysis. We identified safety concerns; mistrust of government and pharmaceutical companies; and accessibility issues as key barriers limiting vaccine uptake. Our analysis also revealed widespread sharing of vaccine misinformation amongst Twitter users. This study further demonstrates that there is promising utility for using off-the-shelf NLP tools to leverage insights from social media data to support public health research. Future work to examine where this type of work might be integrated as part of a mixed-methods research approach to support local and national decision making is suggested.
CASHT: Contention Analysis in Shared Hierarchies with Thefts

Cache management policies should consider workloads’ contention behavior when managing a shared cache. Prior art makes estimates about shared cache behavior by adding extra logic or time to isolate per workload cache statistics. These approaches provide per-workload analysis but do not provide a holistic understanding of the utilization and effectiveness of caches under the ever-growing contention that comes standard with scaling cores. We present Contention Analysis in Shared Hierarchies using Thefts, or CASHT,1 a framework for capturing cache contention information both offline and online. CASHT takes advantage of cache statistics made richer by observing a consequence of cache contention: inter-core evictions, or what we call THEFTS. We use thefts to complement more familiar cache statistics to train a learning model based on Gradient-boosting Trees (GBT) to predict the best ways to partition the last-level cache. GBT achieves 90+% accuracy with trained models as small as 100 B and at least 95% accuracy at 1 kB model size when predicting the best way to partition two workloads. CASHT employs a novel run-time framework for collecting thefts-based metrics despite partition intervention, and enables per-access sampling rather than set sampling that could add overhead but may not capture true workload behavior. Coupling CASHT and GBT for use as a dynamic policy results in a very lightweight and dynamic partitioning scheme that performs within a margin of error of Utility-based Cache Partitioning at a 1/8 the overhead.