Miracle-dz/UniFAR-FTUs huggingface dataset:
Parameter Optimization of Feature Matching-Based Object Recognition Algorithm by using CMA-ES

Estimating object pose is crucial for developing autonomous robots. One popular object recognition method is based on feature matching, leveraging so-called keypoint detectors and descriptors. To achieve high performance, however, it requires parameter tuning for each target object, and such a task has often been conducted by human experts, which makes it difficult to introduce robots into industrial facilities (for example, factories and warehouses) that contain various kinds of objects. In this study, we aim for automatic parameter optimization of feature matching-based object recognition algorithms. As a search algorithm, we propose using the covariance matrix adaptation evolution strategy (CMA-ES), which is a promising candidate for our problem where the objective function involves a number of parameters and its evaluation is computationally expensive. Furthermore, we also introduce a novel criterion for the convergence of the algorithm, which enables a robust parameter to be selected from multiple optimal candidates. Experimental results show that our proposed method can successfully find not only optimal but also robust parameters even with a small number of annotated scene images necessary for our optimization.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGUNAAN INFORMASI AKUNTANSI PADA UMKM KOTA BATAM

Kinerja UMKM secara umum cukup bervariasi dari tahun ke tahun. Kondisi tersebut diakibatkan tingkat pertumbuhan output UMKM yang cenderung fluktuatif ditiap tahunnya. Masalah yang sering dihadapi oleh para pelaku UMKM salah satunya yaitu pengelolaan keuangan. Dampak dari diabaikannya pengelolaan keuangan mungkin tidak terlihat jelas, namun tanpa metode akuntansi yang efektif, usaha yang memiliki prospek untuk berhasil dapat menjadi bangkrut. Berbagai macam keterbatasan lain yang dihadapi oleh UMKM mulai dari latar belakang pendidikan yang tidak mengenal akuntansi atau tata buku, tidak adanya kecukupan dana untuk mempekerjakan akuntan atau membeli software akuntansi untuk mempermudah pelaksanaan pembukuan akuntansi. Penelitian ini diharapkan para usaha mikro kecil dan menengah (UMKM) yang digunakan sebagai alat penggunaan informasi untuk pengambilan keputusan dalam pengajuan kredit dan menghitung pajak. Sampel penelitian ini adalah UMKM Binaan Dinas Pemberdayaan Masyarakat Pasar Koperasi dan UKM Kota Batam Tahun 2018. Metode penelitian ini menggunakan analisis regresi linear berganda. Hasil penelitian menyatakan bahwa secara parsial jenjang pendidikan, lama usaha dan pelatihan akuntansi berpengaruh signifikan terhadap penggunaan informasi akuntansi.
How to avoid the ‘Jesus multiplying bread and fish’ myth and ‘Münchausen baron bootstrap’ legend in individual bibliometric indices: a simple bimedian method applied to Italian ASPA academic members

Dear Editor in Chief, Over a decade ago we assessed the status of the bibliographic indicators of ASPA members (Pulina and Francesconi 2007) and since then much water has passed under the bridge of bibliometric science. The number of published papers, the rank of scientific journals, number of citations and Hirsch’s H-index (Hirsch 2005), have been widely used for the evaluation of academic careers and of scientific institutions (El Gibari et al. 2018). The Italian National Agency for the Evaluation of Universities and Research Institutes (ANVUR 2020) has adopted three bibliometric indices for the ranking of the single academic careers in a given period: the total number of published papers, the total citations, and the H-index. The median of each of the three indices has been used as a threshold value. Thus, for example, for becoming a university professor, that a candidate must have at least two out of the three indicators above the threshold value. The weakness of the abovementioned indicators to evaluate the single scientific career is well known. Limitations of the H-index, originally proposed to assess the real impact of the work of a single researcher on the scientific community, and of its variants for different scientific fields have been reviewed by Alonso et al. (2009). However, multiple authorship and self-citations still represent two main issues for the correct evaluation of the individual scientific career. Galam (2011) proposed a gh-index to account for the multiple authorship problem and observed that:
Problems Experienced in Classrooms with Students from Different Cultures

This study aimed at revealing the problems experienced by primary school teachers in classroom contexts which involve different cultures (Turkish, Iranian, Afghan, and Syrian). Phenomenology design was adopted in the study. The study group was defined through criterion sampling approach. Teachers serving at classrooms involving different cultures and teachers having different professional seniority were included in the study. Nine primary school teachers in total were interviewed, and the data were collected through open ended semi-structured interview questions. The data were analyzed through content analysis. After analysis of the data, the problems experienced by primary school teachers were gathered under three categories as; 1) problems experienced by themselves as teachers, 2) problems experienced in terms of students, and 3) problems experienced in terms of parents.
Laboratory and field tests of predation on the cereal leaf beetle, Oulema melanopus (Coleoptera: Chrysomelidae)

ABSTRACT The cereal leaf beetle (CLB), Oulema melanopus (L.) (Coleoptera: Chrysomelidae), is an invasive pest in North America recently reported in the Canadian Prairies. We performed a series of laboratory assays to identify potential predators and a field study to quantify predation of CLB eggs. In no-choice Petri dish assays, ground beetles (Carabidae), rove beetles (Staphylinidae), and several common lady beetle species (Coccinellidae) were the most consistent predators of eggs and larvae. Nabis spp. (Hemiptera: Nabidae) and wolf spiders (Araneae: Lycosidae) consumed many larvae, but did not consume eggs. Hippodamia spp. , Coccinella septempunctata (L.) (Coleoptera: Coccinellidae), and Pterostichus melanarius (Illiger) (Coleoptera: Carabidae) also fed on CLB eggs on potted plants when an alternative food source was available, Sitobion avenae (Fabricius) (Hemiptera: Aphididae). In our field study, we found an average of 24.5% of sentinel eggs disappeared over a 24 h period, likely due to predation. Our results suggest that generalist predators can play an important role in the biological control of CLB, and warrant further study.
Solubility of proteins

Solubility is a fundamental protein property that has important connotations for therapeutics and use in diagnosis. Solubility of many proteins is low and affect heterologous overexpression of proteins, formulation of products and their stability. Two processes are related to soluble and solid phase relations. Solubility refers to the process where proteins have correctly folded structure, whereas aggregation is related to the formation of fibrils, oligomers or amorphous particles. Both processes are related to some diseases. Amyloid fibril formation is one of the characteristic features in several neurodegenerative diseases, but it is related to many other diseases, including cancers. Severe complex V deficiency and cataract are examples of diseases due to reduced protein solubility. Methods and approaches are described for prediction of protein solubility and aggregation, as well as predictions of consequences of amino acid substitutions. Finally, protein engineering solutions are discussed. Protein solubility can be increased, although such alterations are relatively rare and can lead to trade-off with some other properties. The aggregation prediction methods mainly aim to detect aggregation-prone sequence patches and then making them more soluble. The solubility predictors utilize a wide spectrum of features.
Reorganization of 3D genome structure may contribute to gene regulatory evolution in primates

A growing body of evidence supports the notion that variation in gene regulation plays a crucial role in both speciation and adaptation. However, a comprehensive functional understanding of the mechanisms underlying regulatory evolution remains elusive. In primates, one of the crucial missing pieces of information towards a better understanding of regulatory evolution is a comparative annotation of interactions between distal regulatory elements and promoters. Chromatin conformation capture technologies have enabled genome-wide quantifications of such distal 3D interactions. However, relatively little comparative research in primates has been done using such technologies. To address this gap, we used Hi-C to characterize 3D chromatin interactions in induced pluripotent stem cells (iPSCs) from humans and chimpanzees. We also used RNA-sequencing to collect gene expression data from the same lines. We generally observed that lower-order, pairwise 3D genomic interactions are conserved in humans and chimpanzees, but higher order genomic structures, such as TADs, are not as conserved. Inter-species differences in 3D genomic interactions are often associated with gene expression differences between the species. To provide additional functional context to our observations, we considered previously published chromatin data from human iPSCs. We found that inter-species differences in 3D genomic interactions, which are also associated with gene expression differences between the species, are enriched for both active and repressive marks. Overall, our data demonstrates that, as expected, an understanding of 3D genome reorganization is key to explaining regulatory evolution.
Uncertainty Estimation for Data-Driven Visual Odometry

Over the past few years, we have witnessed a considerable diffusion of data-driven visual odometry (VO) approaches as viable alternatives to standard geometric-based strategies. Their success is mainly related to the improved robustness to image nonideal conditions (e.g., blur, high or low contrast, texture-poor scenarios). However, most of the data-driven State-of-the-Art (SotA) approaches do not provide any kind of information about the uncertainty of their estimates, which is crucial to effectively integrate them into robotic navigation systems. Inspired by this considerations, we propose uncertainty-aware VO (UA-VO), a novel deep neural network (DNN) architecture that computes relative pose predictions by processing sequence of images and, at the same time, provides uncertainty measures about those estimations. The confidence measure computed by UA-VO considers both epistemic and aleatoric uncertainties and accounts for heteroscedasticity, i.e., it is sample-dependent. We assess the benefits of UA-VO with different typology of experiments on three publicly available datasets and on a brand new set of sequences, we gathered to extend the evaluation.
EFEKTIVITAS PEMBERIAN KONSELING TENTANG DIET DASH TERHADAP ASUPAN NATRIUM, KALIUM, KALSIUM, MAGNESIUM, AKTIVITAS FISIK, DAN TEKANAN DARAH PASIEN HIPERTENSI

Hypertension or high blood pressure is a condition in which blood vessels constantly experience increased pressure. Hypertension still occupies the 10th category of the leading causes of death in Indonesia with a mortality rate of 42,000. According to the results of the 2013 Riskesdas, the prevalence of hypertension in Indonesia is quite high at 25.8% (Health Research and Development Agency, 2013). Management of hypertension can be done one of them by non-pharmacological methods. Some ways to do non-pharmacological treatment according to Sudjaswandi et al (2003) are controlling diet, reducing salt intake, increasing consumption of potassium and magnesium, and carrying out physical activities that are regulated in applying the DASH diet. The purpose of this study was to determine the effectiveness of counseling on the DASH diet on sodium, potassium, calcium, magnesium, physical activity, and blood pressure in outpatient hypertension patients at the Tk Hospital. II dr. Soepraoen Malang. This type of research is quasy experiment with a total sample of 20 respondents. Data was collected by taking data on sodium, potassium, calcium, magnesium, physical activity, and blood pressure, then analyzed using Paired t-Test and Independent t-Test. The results showed that nutritional counseling about the DASH diet was more effective for use in increasing potassium and calcium intake in hypertensive patients with a significance level (p 00 0.005), but the Low Salt Diet was more effective in reducing sodium intake, magnesium intake, physical activity and pressure There was no change in blood between the two types of intervention with a significance level (p> 0.005).
Does Share Pledging Affect Management Earnings Forecasts?

ABSTRACT We examine the impact of share pledging (SP) on management earnings forecasts (MEFs). Our findings suggest that an SP firm has more optimistic MEFs than a non-SP firm, suggesting that SP contributes to more optimistically biased MEFs. In addition, an SP firm is more likely to provide less specific MEFs than a non-SP firm. The results are robust to alternative measures of SP and MEFs and accounting for endogeneity. Additional analysis suggests that when the controlling shareholder has a high risk of losing control rights (the firm is located in a high marketization region or the stock has a high crash risk) or the corporate governance is poor, the impact of SP on optimistic MEFs and vague MEFs is magnified.
Weak convergence for weighted sums of negatively associated random variables and its application in nonparametric regression models

Abstract In this paper, we mainly study the weak convergence and convergence rates in the weak law of large numbers for weighted sums of negatively associated random variables. The necessary and sufficient conditions for the convergence rates in the weak law of large numbers are provided. As an application, the weak consistency for the weighted linear estimator of nonparametric regression models is established. Some numerical simulations are also provided to verify the validity of the theoretical result.
Impacts of Small Impoundments On An Intermittent Headwater Stream Community

Abstract The impacts of small impoundments on headwater streams have received little attention despite their potential to have local and broad-scale ecological impacts. These impoundments might alter stream hydrology, geomorphology, and facilitate the spread of invasive species. Given that prairie stream communities have adapted to highly variable conditions, they might resist disturbances associated with small impoundments. To test the resistance of aquatic communities to the disturbances associated with small impoundments, we surveyed intermittent headwater prairie streams in both unimpounded and impounded watersheds. We observed greater fish density and species richness in unimpounded watersheds and two species occupying a greater proportion of sites in unimpounded than impounded watersheds. In contrast to fish communities, we observed no difference in crayfish density or the community structure and biomass of aquatic insect and snail communities between unimpounded and impounded watersheds. Increased sensitivity to disturbances associated with small impoundments by fishes might be attributed to their limited dispersal capabilities.
Regulation of Fanconi anaemia complementation group a (Fanca) by gonadotropin releasing hormone : a role for Fanca in reproduction

Binding of gonadotropin releasing hormone (GnRH) to its receptor on the surface of gonadotroph cells within the anterior pituitary triggers the pulsatile release of the gonadotropin hormones, luteinising hormone and follicle stimulating (LH and FSH) into the blood stream. These hormones then act on their target organs, the gonads, to stimulate and regulate spermatogenesis in males and folliculogenesis in females. LH and FSH are heterodimeric glycoproteins comprised of a common a subunit (aGSU) and a unique beta subunit (LH(3 or FSH(3), each encoded by a single gene. The processes by which GnRH regulates gonadotropin gene transcription are not fully characterised but variation in GnRH pulsatility, differential activation of GnRH receptor and coupling to second messenger signalling pathways, all contribute to give distinct, subunit-specific effects on gene transcription. The identification of transcripts and proteins regulated by GnRH could further characterise the biomolecular processes by which GnRH controls LH and FSH production. Previous work performed within the laboratory, using the technique of differential display RT-PCR (DD-RT-PCR), identified that a DNA damage repair gene, Fanconi Anaemia complementation group a (Fanca), is differentially expressed in response to hormone. FANCA is mutated in > 60% of cases of Fanconi anaemia (FA), a genetically heterogeneous autosomal recessive disorder characterised by bone marrow failure, endocrine tissue cancer susceptibility and infertility. Detailed analysis of Fanca mRNA expression using northern blotting, semi¬ quantitative RT-PCR and quantitative RT-PCR analysis reveals that GnRH induces a rapid and transient increase in Fanca mRNA within L|3T2 gonadotroph cells. Indirect immunofluorescence and western blotting analysis show that Fanca protein is expressed in the cytoplasm and nucleus of L|3T2 cells and GnRH induces a transient 2-fold increase in Fanca protein levels within both cellular compartments. Furthermore, treatment with inhibitors of nuclear import and export demonstrated that Fanca protein actively shuttles between the nucleus and cytoplasm of
Nomenclature and typification in Polyosma (Escalloniaceae) from New Caledonia, with the description of a new species

The taxonomy of Polyosma (Escalloniaceae) in New Caledonia is reviewed. All names validly published in Polyosma in this archipelago are discussed and lectotypified when necessary and possible. A new combination is made, Polyosma subintegrifolia; and a new species, Polyosma kouaouana, is described. Seven species (all endemic) are recognized in New Caledonia: P. brachystachys, P. discolor, P. kouaouana, P. leratii, P. pancheriana, P. spicata, and P. subintegrifolia. A preliminary identification key is provided.
Recent Developments in Microfluidic Platforms for Immunological Testing

Microfluidic systems for organoid culture are Lab-on-a-Chip systems that have been pervasive in engineering liver, heart, lung, bone and muscle, but immune organs are somewhat underdeveloped in this field. With the need for new biopharmaceuticals such as immune modulators and vaccines, the need for effective and efficient preclinical testing should increase in parallel. This mini-review seeks to introduce new developments in microfluidic immune models, including thymic microfluidic organoids, and multisensor integration between multiple immune organoid system networks also termed Body-on-a-Chip.
Complex interaction networks of cytokines after transarterial chemotherapy in patients with hepatocellular carcinoma

Inflammation in the tumor microenvironment influences all stages of HCC development and progression as well as the anti-cancer response by immune system. In this study, we studied cytokine networks before and after transarterial chemotherapy (TACE). Serum samples obtained from 203 HCC patients treated with TACE were analyzed for inflammatory cytokines including interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12, IL-13, IL-17, IL-22, TNF-α, IFN-γ, and C-reactive protein (CRP) levels. Cytokine concentrations were measured at day 0 (D0, baseline), day3 (D3), day7 (D7), and day 60 (D60) after TACE. Network analysis revealed that modules within cytokine network at D0 were lost by D60 and modularity value (Mc) was decreased from 0.177 at D0 to −0.091 at D60. D60 had the lowest network heterogeneity and lower diameter, clustering coefficient, network density and recruited nodes. Degree correlation revealed that assortative network turned to disassortative network by D60 indicating that the network gained scale free feature. CRP, IL-2 were components of modules related with adverse outcome and IL-13, favorable outcome. Median survival month of patient group with high and low values with P-values were as follows: D0 CRP, 9.5 month (M), 54.2M (P<0.0001); D0 IL-2, 39.9M, 56.1M (P=0.0084); D3 CRP, 31.3M, 55.1 M (P=0.0056); D7 CRP, 28.7M, 50.7M (P=0.0065); IL-13, 51.9M, 33.6M (P=0.06). Network modularity decreased with temporal changes. Components of modules that included CRP, IL-2 and IL-6 were associated with adverse outcome and short overall survival. These modules were dissolved by D60 after TACE. Degree correlation decreased by D60, indicating that the cytokine network gained the scale free network property as in other biological network. TACE treatment converted cytokine network from that with inflammatory module to that with scale free network feature and without modules. Further studies are required to verify temporal changes of cytokine network in HCC patients after TACE.
The Value of CME Arrival Time Forecasts for Space Weather Mitigation

Severe geomagnetic storms are driven by the coronal mass ejections (CMEs). Consequently, there has been a great deal of focus on predicting if and when a CME will arrive in near‐Earth space. However, it is useful to step back and ask, “How valuable is this information, in isolation, for making decisions to mitigate against the adverse effects of space weather? ” While all severe geomagnetic storms are triggered by CMEs, not all CMEs trigger severe storms. Thus, even perfect knowledge of CME arrival time will provide “actionable” forecast information only in operational situations where false alarms can be tolerated. Of course, any CME transit model used to predict CME arrival time must also produce an estimate of CME speed at Earth. This can help discriminate between geoeffective and nongeoeffective CMEs, reducing false alarms and expanding the range of operational scenarios under which a forecast provides value. Thus, from an end‐user perspective, CME arrival speed should form part of the standard metric by which CME transit models are evaluated. Looking to the future, even coarse information about the CME magnetic properties would likely provide even greater forecast value. These points are illustrated by a simple analysis of solar wind data.
Autoencoder Based Anomaly Detection for SCADA Networks

Supervisory control and data acquisition (SCADA) systems are industrial control systems that are used to monitor critical infrastructures such as airports, transport, health, and public services of national importance. These are cyber physical systems, which are increasingly integrated with networks and internet of things devices. However, this results in a larger attack surface for cyber threats, making it important to identify and thwart cyber-attacks by detecting anomalous network traffic patterns. Compared to other techniques, as well as detecting known attack patterns, machine learning can also detect new and evolving threats. Autoencoders are a type of neural network that generates a compressed representation of its input data and through reconstruction loss of inputs can help identify anomalous data. This paper proposes the use of autoencoders for unsupervised anomaly-based intrusion detection using an appropriate differentiating threshold from the loss distribution and demonstrate improvements in results compared to other techniques for SCADA gas pipeline dataset.