Miracle-dz/UniFAR-FTUs huggingface dataset:
Tool Wear Prediction with External Signals Based on Lightweight Deep Learning Model

The discontinuity in the milling process makes the tool wear rapidly, which will affect the workpieces’ precision and quality. But it is difficult to predict tool wear status with traditional signal processing methods due to inevitable interfering signals. Recently, deep learning algorithms have been widely used because its superiority in solving nonlinear problems. This paper proposes a lightweight convolutional neural network model, which is utilized to enable automatic learning of hierarchical tool wear representation in a short time. Two kinds of external signals and an internal signal are used for experiments. The results show that the classification accuracy of the model based on sound and vibration signals is 98.28% and 97.07%, the prediction from both models have high coefficient with the actual tool wear. Comparisons with related works highlight the effectiveness of our prediction method.
A widespread necrotizing disease affecting Palythoa caribaeorum (Duchassaing and Michelotti, 1860) on coastal reefs in northeastern Brazil

A highly aggressive necrotizing disease affecting the zooantharian Palythoa caribaeorum was studied on coastal reefs in northeastern Brazil during March and April of 2008. Approximately 87% of the colonies at each locality showed wounds ranging from 27 cm to 1200 cm long and from 12 to 320 cm wide. This disease initiates with the darkening of the polyps, followed by the appearance of a rapidly enlarging wound that decomposes colony tissues and eventually exposes the substrate. The exposed areas are subsequently colonized by macroalgae, Zoanthus sociatus, and other benthic organisms. The necrotized areas were dark-colored and expelled fetid odors. Although extremely aggressive, complete mortality of the colonies was not observed. Surviving fragments recomposed the colonies within 6 to 9 months. Recurrences of the disease were in the summer of 2008 and from February/2013 to March/2014. During the study period, we found various colonies having black-spots (early stage of necrotizing disease), suggesting stress conditions. Zooxanthellae densities in those black-spots were always lower than in apparently healthy colonies, with reductions of up to 74%. More than one environmental variable seems to influence the zooxanthellae densities significantly, but there is no evidence of any association with abnormally high water temperature, as thermal variations in the study area were within their normal range. Histological analysis showed losses of tissue organization in colonies with black-spots and necrotizing components with hypertrophy and cell apoptosis of the gastrodermal cells; apoptosis of zooxanthellae and damage in completes mesenteries. All these features showed an inflammatory response to necrosis disease. AbstrAct Cristiane Francisca Costa-Sassi1* , Roberto Sassi1 , Gabriel Malta de Farias1
A statistical approach for assessing progress towards the SDG targets

The global SDG indicator framework establishes a set of measurement tools to assess country performances in a comparable way, and helps governments to identify appropriate policy interventions to achieve the SDG targets. Five years into the implementation of the 2030 Agenda, however, still different methods are being used by leading international organizations for assessing whether the SDG targets will be achieved or not. This may lead to different results, sometimes contradictory, generating confusion among users and policy-makers, who therefore cannot base their policy decisions on solid and coherent assessments. This article describes some of the solutions proposed by leading international organizations to address two distinct measurement objectives: (i) monitor the “current” status of achievement of a SDG target, i.e. the situation as pictured by the latest available data, and (ii) assess whether the SDG targets can be achieved by 2030. These distinct objectives are then translated in various methodological approaches, that often include also a way for identifying the targets when not explicitly set, and the procedure to obtain regional and global aggregates (as well as, aggregates by target and goal). This article provides a critical overview of the different approaches and proposes a unified coherent statistical approach for progress and status assessments, highlighting its advantages over the alternative approaches, and demonstrate its application to a specific FAO indicator. The article focuses mainly on the assessment of (i) and (ii), while is not intended to investigate the issues related the aggregation of results at target/goal level, a topic that is beyond the scope of this work.
Adoption level of improved health care and management practices among dairy farmers in Vellore district of Tamil Nadu

The study was undertaken to assess the adoption level of improved health care and management practices among dairy farmers. The data was collected through personal interview method with the help of well-structured interview schedule from 50 dairy farmers randomly selected in Sathuperi village of Vellore district of Tamilnadu. The recommended practices in the areas health care and management dairy practices are selected on the basis of expert opinion and evaluated the adoption level in the field condition. The study recommends that innovations in technological interventions on scientific cattle farming shall be supported with vocational training to the cattle farmers to optimize the herd size with extension support and services might help them to adopt improved recommended health care technologies and sustainable cattle production thereby increasing the farmers income.
Computational Studies Towards Identification of Lead Herbal Compounds of Medicinal Importance for Development of Nutraceutical Against COVID-19

In the present study, we have performed the in-silico study of SARS-CoV-2 structure with different herbal compounds of medicinal importance. We selected four viral key proteins of SARS-CoV-2 structure i.e ACE-2 Receptor, Main Protease (Mpro), APO Form, Cryo- electron microscopy structure for the Molecular docking followed by the molecular dynamic simulation. Using this simple in silico approach based on the molecular docking and MD simulation of protein and phytochemicals, we have identified potential lead candidates for the development of low cost nutraceuticals, which can be used against SARS-CoV-2 virus. Our analysis suggested that phytochemicals obtained from Phyllanthus emblica and Azadirachta indica have the highest potential to bind with ACE2 receptor or main protease of SARS-CoV-2, inhibiting the protease enzymatic activity. The lead compounds of herbal origin were docked and simulated on viral key proteins of SARS-CoV-2 structure to evaluate the binding affinity of these phytochemicals along with the type of interaction and its stability in terms of RMSD and Ramachandran plot. Further, these results were also verified by drug likeness properties by using SwissADME software. Overall, our results suggest that out of 14 herbal compounds, Nimbolide and Withaferin-A has great potential to be developed as low-cost nutraceuticals against SARS-CoV-2 virus, which is the need of hour.
A Mixed-Method Study on Assessment of Village Health Nutrition Day Sessions in Rural Areas, South India

Background: The VHND is to be organized once every month (preferably on Wednesdays and for those villages that have been left out, on any other day of the same month) at the AWC in the village. This will ensure uniformity in organizing the VHND. The Anganwadi worker is identified as the hub for service provision in the RCH-II, NRHM, and also as a platform for inter-sectoral convergence. VHND if organized regularly and effectively can bring about the much needed behavioural changes in the community, and can also induce health-seeking behaviour in the community leading to better health outcomes. Objectives: 1. To assess the activities conducting during VHND sessions. 2. To assess the knowledge about in VHND among the panchayat members. Methodology: This was a cross-sectional mixed-method study. The study was carried out in rural areas of Gadag district covering Primary Health Centres (PHC) & Outreach Services rendered under the Primary Health care. So a total of 10 VHND was observed. On every Wednesday, VHND was observed based on a checklist prepared from the guideline of VHND. Availability of logistics and quality of immunization service was assessed. The study was carried out during 1st July 2019 to 31st October 2019. Results: Sessions were organized as per micro-plan at 10 VHNDs visited. A presence of health workers during VHND was assessed. Anganwadi workers were present in 8 VHND sessions which were held in the Anganwadi centres. In our study, almost all VHND sessions ASHA worker were present and performed all activities and roles. More than one-third of logistics were in usable conditions and quality of the services also satisfactory. Conclusion: Logistics availability was poor in a rural area. Reasons behind the same need to be explored and appropriate corrective measures need to be taken which might help to improve services provided during VHND sessions.
Evolution of Phenotypic Sex Differences in Cooperative Species: is Competition an Opposing Force?

Abstract. Sexual selection is generally thought to be weak in cooperative breeding species, largely because polygamous mating patterns that drive sexual selection can erode the kin-selected benefits of cooperation. Social selection, on the other hand, is expected to be strong among cooperative species especially because of the intense competition over status and resource access. In support of this view, several studies have shown monogamous mating and little sex difference in cooperative species. However, most previous studies have focused on species with relatively simple social systems and few studies have examined how mating patterns, social organization and ecological attributes have influenced the evolution of ornamentation in cooperative species. Here I used secondary data to examine several hypotheses and shed some light on how social and sexual selection influenced the evolution of phenotypic sex traits in cooperatively breeding birds. Despite the broad assumption that cooperative breeding species are monomorphic, results demonstrate that sex differences and the presence of ornamentation are widely spread in the group. Stable environments with higher precipitation are associated to the strongest differences between sexes. Results indicate that although extrapair matings and environment attributes are determinant to the evolution of sex differences, males and females of cooperative species seem to be more alike than their non-cooperative counterparts. The extent of mutual ornamentation found in cooperative species indicates that the combination of both sexual and social selection are imperative to determine how evolution has shaped phenotypic attributes in cooperative species.
An AI Service to support communication and language learning for people with developmental disability

Children with language developmental disabilities often struggle through their lives from a lot of challenges in everyday life and social activities. They’re often easily deprived of the opportunity to engage in social activities, because they find difficulty in understanding or using language, a core means of communication. With regard to this issue, AAC(Augmentative and Alternative Communication) can be an effective communication tool for children who are suffering from language disabilities. In this paper, we propose a deep learning-based AI service to make full use of the pictogram as an AAC tool for children with language developmental disabilities to improve not only the ability to interact with others but the capacity to understand language. Using this service, we strive to help these children to more effectively communicate their intention or desire and enhance the quality of life.
Effect of activated clinoptilolite and inactive brewer’s yeast mixture on loin eye muscle and body indexes in fattening period

One of the main goals of the lamb meat production industry is to improve the meat quality with a higher growth rate and with lower feed consumption. Therefore, both meat and livestock industries have been constantly seeking new ways to achieve this main goal. However, consumers’ preferences play an important role in specifying the quantity and quality standards of lamb meat in the market and often act as a limiting factor for these industries (20). In last decades, the use of both natural and synthetic silicate minerals and by-products of the fermentation industry in animal nutrition has increased mainly due to their positive effects on animal performance and health. Clinoptilolite, natural hydrated aluminosilicates, and brewer’s yeast, a by-product of breweries, are two of these materials that have been increasingly used in animal nutrition. Moreover, some processes such as the activation of clinoptilolite and inactivation of brewer’s yeast are necessary to increase the adsorption capacity of clinoptilolite and eliminate further fermentation of brewer’s yeast after consumption (2, 5). While activated and micronized clinoptilolites, known as good adsorbent and toxin binders, are primarily used for detoxfiying the heavy metals, O2, reactive oxygen species (ROS) and aflatoxins; the inactivated brewer’s yeast is mostly used to increase the dry matter intake and nutrient digestibility, regulate the rumen pH, and reduce amonia in ruminants (3, 9, 12, 16). Previous studies on meat production industry have primarily focused on improving the average daily gain (ADG) and the feed conversion ratio in ruminants (6, 7, 14). The extent of the performance enhancement 1) The present study was supported by the Republic of Turkey, Ministry of Agriculture and Forestry, General Directorate of Agricultural Research (Project No: TAGEM/HSGYAD/B/19/A4/B2/1026). The authors would like to thank Orgamin Ltd. Co. and Atayem Ltd. Co. for their contribution. Effect of activated clinoptilolite and inactive brewer’s yeast mixture on loin eye muscle and body indexes in fattening period1)
A Risk Screening Study on the Potential Invasiveness of Lessepsian fishes in the South-Eastern Coasts of Anatolia

Background. The ‘Lessepsian migration’ is a unidirectional phenomenon of successful biotic colonisation from the Red Sea into the eastern Mediterranean Sea via the Suez Canal. In this study, 45 Lessepsian marine fish species were screened for their potential invasiveness in the south-western coasts of Anatolia (Muğla region, Turkey), with the aim to inform policy makers on proper management and control measures. Materials and methods. Species were screened with the Aquatic Species Invasiveness Screening Kit (AS-ISK) for their potential invasiveness in the south-western coasts of Anatolia—the Risk Assessment (RA) area. Receiver Operating Characteristic (ROC) analysis was used to assess the predictive ability of AS-ISK to discriminate between the Lessepsian fish species posing a high risk and those posing a medium risk of being invasive for the RA area. The following species were studied: Alepes djedaba, Apogonichthyoides pharaonis, Atherinomorus forskalii, Bregmaceros nectabanus, Callionymus filamentosus, Champsodon nudivittis, Champsodon vorax, Cynoglossus sinusarabici, Dussumieria elopsoides, Equulites klunzingeri, Etrumeus golanii, Fistularia commersonii, Hemiramphus far, Herklotsichthys punctatus, Jaydia queketti, Jaydia smithi, Lagocephalus guentheri, Lagocephalus sceleratus, Lagocephalus spadiceus, Lagocephalus suezensis, Liza carinata, Nemipterus randalli, Ostorhinchus fasciatus, Oxyurichthys petersii, Parupeneus forsskali, Pelates quadrilineatus, Pempheris rhomboidea, Pomadasys stridens, Pteragogus pelycus, Pterois miles, Rachycentron canadum, Sargocentron rubrum, Saurida lessepsianus, Scomberomorus commerson, Siganus luridus, Siganus rivulatus, Sillago suezensis, Sphyraena chrysotaenia, Sphyraena flavicauda, Stephanolepis diaspros, Torquigener flavimaculosus, Trachurus indicus, Upeneus moluccensis, Upeneus pori, Vanderhorstia mertensi. Results. BRA and BRA + CCA thresholds of 18.5 and 29.5, respectively, were identified that reliably distinguished between potentially invasive (high risk) and potentially non-invasive (medium or low risk) species. Based on both thresholds, 14 species were categorised as high risk (amongst which devil firefish, Pterois miles, was the highestscoring one), 28 as medium risk, and one as low risk. The CCA resulted in an increase from the BRA score for 42 (93.3%) of the screened species, and 12 of these achieved the highest possible (positive) change in BRA + CCA score of 12 points. Conclusion. The thresholds set in the presently reported study for risk of invasiveness of the Lessepsian fishes under study in the south-western coasts of Anatolia can be transferred to other AS-ISK based applications in other RA areas in case of small sample sizes. The outcomes of this study will be of use to fish biologists, fisheries scientists and environmental managers/stakeholders in a joint effort to ensure better conservation and management actions with regard to the role of Lessepsian fishes in the RA area.
Awareness of Dying and Conflict Resolution: Texas Asian Perspectives

Individuals in the end-of-life (EOL) period may not be fully aware of their prognosis or know they are facing a terminal illness. As Asian beliefs and cultural tendencies intersect with Western values, health care practitioners may find their assumptions about disclosing an EOL prognosis differs from patients and their family members. Disagreements among family members regarding the disclosure of EOL to their terminally ill loved one can result in conflict—making difficult and sensitive times more burdensome. Little scientific evidence is known about first generation Asians who live in the United States (US) regarding their practices with disclosing EOL and how they handle conflict resolution when a family member is terminally ill. The purposes of this descriptive qualitative study were to explore issues surrounding patient awareness of dying and explore approaches to conflict resolution in EOL situations for first generation Japanese, Chinese and Vietnamese persons living in the south central, south eastern and northeastern parts of Texas. Face-to-face audio-recorded interviews were conducted and transcribed verbatim. Thematic analysis elicited three awareness and three conflict resolution overarching themes across all ethnic groups. Health care practitioners must be cognizant that assumed acculturation does not always coincide with Western beliefs regarding disclosure of the prognosis at the EOL. In order to provide culturally and ethically sound EOL care for the patient and their loved ones, clinicians must be mindful of the need to sensitively assess their patient’s beliefs and understand the importance of compassionate and diplomatic approaches for conflict resolution in Asian cultures.
Enhancing the Performance of Image Preprocessing for Classification and Object Detection

The image preprocessing optimization is a challenging task with numerous applications including classification and object detection on which this paper is oriented the most. Enhancing the performance in terms of processing time for image preprocessing is crucial to every researcher engaged into deep learning. A few common mistakes and practices are presented in this paper which can greatly impact training time, alongside practices and tools used for diagnosing potential pitfalls. In this paper, we evaluate several common Python libraries which are used for image preprocessing and analyze the impact of different augmentation ordering with respect to central processing unit (CPU) usage.
A Wide-Range Static Current-Free Current Mirror-Based LS With Logic Error Detection for Near-Threshold Operation

We have proposed a current mirror-based level shifter (LS) with a logic error detection (CMLS-LED), which is capable of converting a near-threshold signal to a super-threshold signal. The proposed CMLS-LED resolves the current contention problem observed in the conventional cross-coupled pFET-based LS (CPLS) by using the current mirror and removes the static current in the conventional current mirror LS with adopting the feedback pFET controlled by the output node. Compared with Wilson’s current mirror-based LS (WCMLS), CMLS-LED offers an enhanced speed by avoiding the threshold voltage drop of the feedback pFET and is free from the stability issue due to an incomplete output swing. Measurement results obtained from the test chip fabricated with 14-nm finFET technology, in which CMLS-LED is implemented with WCMLS, CPLS, and Osaki’s LS, shows that the proposed CMLS-LED can widen the operating voltage range by 200 mV compared wth the CPLS, along with a speed improvement of 80%, when compared to WCMLS.
A Low-Profile and Beam-Steerable Transmitarray Antenna: Design, Fabrication, and Measurement [Antenna Applications Corner]

This article describes the design, fabrication, and measurement of a low-profile and beam-steerable transmitarray (TA) antenna based on ray-folding principles. The proposed TA antenna consists of a planar feeding source, phase-shifting surfaces, and a metal plate as a reflector. The electromagnetic (EM) wave radiating from the planar feeding source would first be reflected by the metal plate and then propagate through the phase-shifting surfaces to achieve a focused beam in a specific direction. In this configuration, the profile of the proposed TA antenna is decreased to half compared with a conventional TA antenna.
Evaluation of a Multimarker Panel in Chronic Heart Failure: A 10 Years FollowUp

Background: Chronic heart failure is a complex disease associated with various pathophysiological and biochemical disorders. We assessed the 10 years prognostic role of a multimarker panel of markers for myocyte stress (GDF-15), extra-cellular matrix remodeling (Galectin-3, mimecan, TIMP-1), inflammation (Galectin-3), myocyte injury (hs-TnT) and angiogenesis (endostatin, IBP-4, IGF-BP-7, sFlt-1 and PLGF) head-to-head with the biochemical gold-standard NT-proBNP. Methods: Blood samplesfrom 149 patients with heart failure were analysed. After 10 years of follow-up (median follow-up 104 months, IQR 43-117), data regarding rehospitalisation for chronic heart failure and all-cause-mortality were acquired. Results: Regarding Kaplan Meier analysis, all markers, dichotomized according to you denindex, were significant predictors for all-cause-mortality (each p<0.05) and for the combined end point of all-cause-mortality and rehospitalisation (each p<0,05). Including all markers in Cox Regression analysis, NT-pro-BNP, hs-TnT and IGF-BP7 were independent predictors for both end points (each p<0,05). Patients in whom all three markers were elevated had a significant worse long-time-prognosis than patients without elevated markers (risk of all-cause-mortality 90,5% vs. 25%, risk of all-cause-mortality or rehospitalisation 97,6% vs. 43,7%). In a Cox regression model with clinical relevant parameters (ejection fraction<30%, age, serum creatinine, gender) and the multimarker panel (hs-TnT, NT-pro-BNP, IGF-BP7), all biomarkers remained independent significant predictors for both end points beside ejection fraction<30% and male gender (each p<0.05). Conclusion: In a 10-years-follow-up, a combination of three biomarkers with different pathophysiological background (NT-pro-BNP, hs-TnT and IGF-BP7) increased the prognostic value and identified patients with a high risk of mortality and rehospitalisation. Especially IGF-BP7 seems to play an important role regarding prognostication in heart failure.