Miracle-dz/UniFAR-FTUs huggingface dataset:
Signalment, Immunological and Parasitological Status and Clinicopathological Findings of Leishmania-Seropositive Apparently Healthy Dogs

Simple Summary Canine leishmaniosis is a complex infection that ranges from the apparent absence of disease to a severe fatal clinical illness. Numerous epidemiological serosurveys have been carried out in Europe, although these studies often lack assessment of clinical health status. The aim of this study was to evaluate signalment, immunological and parasitological status correlated with clinicopathological findings of L. infantum-seropositive apparently healthy dogs living in endemic areas of Europe. Routine laboratory tests, endpoint in-house ELISA to quantify the anti-Leishmania antibodies, blood Leishmania quantitative PCR (qPCR) and IFN-γ ELISA were performed. Dogs were classified as healthy or sick depending on the results of routine laboratory tests. Seropositive sick dogs presented a worse clinical status that included a higher proportion of medium to high antibody levels and positive qPCR, lower IFN-γ concentration and several clinicopathological findings compared to truly healthy seropositive dogs. In conclusion, further investigation of apparently healthy L. infantum-seropositive dogs is necessary in the clinical setting, as a significant proportion of seropositive dogs that are sick with clinicopathological findings remain undetected if routine laboratory tests are not undertaken. Performing these routine laboratory tests with the combination of a thorough physical examination will improve early disease diagnosis, treatment and prognosis of clinical leishmaniosis. Abstract Canine leishmaniosis caused by Leishmania infantum is a disease with a wide range of clinical manifestations. Epidemiological serosurveys performed in Europe often lack a thorough assessment of clinical health status of studied dogs. The aim of this study was to evaluate signalment, immunological and parasitological status and clinicopathological findings of L. infantum-seropositive apparently healthy dogs (n = 212) living in endemic areas. Routine laboratory tests, endpoint in-house ELISA to quantify the anti-Leishmania antibodies, blood Leishmania qPCR and IFN-γ ELISA were performed. All dogs enrolled were L. infantum-seropositive and were classified as healthy (n = 105) or sick (n = 107) according to LeishVet guidelines. The sick group presented a higher proportion of medium to high antibody levels and positive qPCR and lower IFN-γ concentration compared to the healthy group. Sick dogs were mostly classified in LeishVet stage IIa. Biochemical alterations (98%) were the most common clinicopathological findings, with fewer urinary tract (46%) and hematological (40%) alterations. Apparently healthy L. infantum-seropositive dogs can be classified between truly healthy dogs and sick dogs with clinicopathological findings. Sick dogs presented medium to high seropositivity and parasitemia and low IFN-γ concentrations, and their most common clinicopathological abnormalities were serum protein alterations followed by proteinuria and lymphopenia.
Observation of Fermi Arcs in Non-Centrosymmetric Weyl Semi-Metal Candidate NbP

We report the surface electronic structure of niobium phosphide NbP single crystal on (001) surface by vacuum ultraviolet angle-resolved photoemission spectroscopy. Combining with our first principle calculations, we identify the existence of the Fermi arcs originated from topological surface states. Furthermore, the surface states exhibit circular dichroism pattern, which may correlate with its non-trivial spin texture. Our results provide critical evidence for the existence of the Weyl Fermions in NbP, which lays the foundation for further research.
The Role of Neutrophil-to-Lymphocyte Ratio in Advanced EGFR-Mutant NSCLC Patients Treated with First-Line Osimertinib

Purpose Although serum neutrophil-to-lymphocyte ratio (NLR) is correlated with the outcome of various cancer types, its role in treatment-naïve, advanced, epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) patients treated with osimertinib remains uncertain. We have the intention to use this biomarker to evaluate the outcomes in NSCLC. Patients and Methods Advanced EGFR-mutant NSCLC patients receiving osimertinib as the first-line treatment were included. We evaluated the prognostic role of baseline NLR and explored its association with patients’ characteristics. A high NLR was defined as pretreatment serum NLR ≥ 5. Results A total of 112 eligible patients were included. The objective response rate was 83.7%. The median progression-free survival (PFS) and overall survival (OS) were 20.5 months (95% CI 14.5–26.5) and 47.3 months (95% CI 36.7–58.2), respectively. A high NLR predicted an inferior PFS (HR 1.90 [95% CI 1.02–3.51], P = 0.042) and OS (HR 3.85 [95% CI 1.39–10.66], P = 0.009). Patients with stage IVB disease were more likely to have a high baseline NLR than those with stage IIIB-IVA (33.9% vs 15.1%, P = 0.029). Other patients’ characteristics did not correlate with the baseline NLR significantly. Patients with a high NLR had significantly more metastatic organs than those with a low NLR (2.5 ± 1.3 vs 1.8 ± 0.9, P = 0.012), particularly brain, liver, and bone metastasis. There was no significant association between NLR and intrathoracic metastasis. Conclusion Baseline serum NLR could act as an important prognostic marker for EGFR-mutant NSCLC patients receiving first-line osimertinib. A high NLR was associated with higher metastatic burden, more extrathoracic metastases, and therefore, a worse outcome.
A Web-Based Cross-Sectional Survey on Eye Strain and Perceived Stress amid the COVID-19 Online Learning among Medical Science Students

Due to the COVID-19 pandemic, educational institutions globally were forced to close, resulting in a transition to online learning. However, this transition increased screen time and made e-learners more vulnerable to biopsychosocial issues. This study aimed to assess the impact of online learning on the eyes and mental health of medical science students, including those pursuing MBBS, Nursing, Optometry, Pharmacy, and Veterinary degrees during the COVID-19 lockdown period. A cross-sectional quantitative study was conducted, collecting online data from 182 samples using a socio-demographic data sheet (SDVS), Computer Vision Symptom Scale (CVSS 17), and the Perceived Stress Scale (PSS 10). Results revealed that most students spent between 2 and 4 h and >7 h on electronic devices before and during COVID-19, respectively, with many reporting moderate mental stress and eye strain. A weak positive correlation (r = 0.204 at p < 0.05) was found between perceived stress and eye strain, with the 24–29 age group reporting higher mean scores for eye strain. Female participants in the study reported higher mean scores for both eye strain and perceived stress. Additionally, the study found significant associations between eye strain and the electronic devices used, the program of study, and perceived stress levels. The participants’ ethnicity was also found to impact eye strain levels. The study concludes that the transition to online learning during COVID-19 caused moderate to severe levels of eye strain and mental stress, indicating the need for interventions for the student community.
Memristor-Assisted Background Calibration for SAR ADCs: A Feasibility Study

This paper proposes a memristor-assisted sign-based background calibration scheme for analog-to-digital converters (ADCs). The scheme was implemented and validated in a 12-bit asynchronous successive approximation register (SAR) ADC, which consists of a hybrid binary weighted/R-2R digital-to-analog converter (binary/R-2R DAC) and other peripheral circuits. This hybrid DAC, in which one redundancy bit is introduced, is built with a memristor and standard polysilicon resistors. The proposed calibration technique can detect the errors caused by DAC mismatches and correct them by adjusting the resistance of the memristor (memristance) in a feedback loop. The implemented circuit takes the memristor’s advantages such as small area and resistance switching property. The proposed scheme has been designed and simulated in a standard 180 nm CMOS process. Eventually, a monolithic CMOS/memristor chip will be fabricated with the CMOS part processed at a standard foundry and the memristors integrated through post-CMOS processing in house. Simulation results demonstrate the feasibility of exploiting memristors to improve the linearity of high-resolution SAR ADCs. The designed calibration scheme can effectively reduce the integral non-linearity (INL) and differential non-linearity (DNL) of the 12-bit SAR ADC.
The Influence of News Consumption Habits and Dispositional Traits on Trust in Medical Scientists

Public trust in medical institutions is essential for ensuring compliance with medical directives. However, the politicization of public health issues and the polarized nature of major news outlets suggest that partisanship and news consumption habits can influence medical trust. This study employed a survey with 858 participants and used regression analysis to assesses how news consumption habits and information assessment traits (IATs) influence trust in medical scientists. IATs included were conscientiousness, openness, need for cognitive closure (NFCC), and cognitive reflective thinking (CRT). News sources were classified on the basis of factuality and political bias. Initially, readership of liberally biased news was positively associated with medical trust (p < 0.05). However, this association disappeared when controlling for the news source’s factuality (p = 0.28), while CRT (p < 0.05) was positively associated with medical trust. When controlling for conservatively biased news sources, factuality of the news source (p < 0.05) and NFCC (p < 0.05) were positively associated with medical trust. While partisan media bias may influence medical trust, these results suggest that those who have higher abilities to assess information and who prefer more credible news sources have a greater trust in medical scientists.
On a GJR-GARCH Model with the Standardized Pearson Type IV Distribution

We examine the efficiency of a GJR-GARCH model where the residuals follow the standardize Pearson type-IV distribution. As a case study we consider the historical daily close price of the Standard and Poor’s index. The model is tested with a variety of loss functions and the efficiency is examined by application of several Value-at-Risk tests and measures. The results indicate that the Pearson type IV distribution performs better than the skewed t-Student especially at the high confidence levels.
The Effect of Trichoderma sp on the Intensity of Fusarium Disease and Production of Shallot

Fusarium wilt disease can cause damage and reduce the yield of shallot. Trichoderma sp is a biological agent that can be used to reduce the incidence of fusarium wilt disease in shallot. This study aims to determine the effect of Trichoderma sp on the intensity of fusarium wilt attack and shallot production. This research was conducted in Salodik Village, Luwuk Utara District, Banggai Regency, using a non-factorial randomized block design consisting of five treatments with four replications, namely: P0 (Control), P1 (10 gr Trichoderma sp./liter of water), P2 (12 gr Trichoderma sp./liter of water), P3 (14 gr Trichoderma sp./liter of water) and P4 (16 gr Trichoderma sp./liter of water). The results showed that giving Trichorderma sp had a very significant effect on the average intensity of fusarium wilt disease and had a significant effect on the average production of shallot. The provision of 10 gr Trichorderma sp /liter of water is the best treatment to reduce the intensity of fusarium wilt attack and increased the average production of shallot.
Economic Shocks and the Development of Immigration Attitudes

Abstract How do immigration attitudes form? Drawing on the political socialization literature, I argue that growing up in a recession causes a lasting increase in anti-immigration attitudes. I delineate two mechanisms that emphasize the negative consequences of recessions for young workers and the anti-immigration narrative that often emerges during economic turmoil. Young adults are particularly vulnerable to these external shocks because they have minimal political experience and are developing their core political attitudes. Support is provided for this argument with evidence from the European Social Survey. An economic shock during young adulthood causes a significant increase in anti-immigration attitudes, a relationship not found for other ages. I find tentative evidence that growing up in a recession has a larger effect on the racial and cultural dimensions of immigration and causes a broader sociotropic response. Results highlight how economic crises affect the socialization of young adults and underscore their lasting political consequences.
Self-Supervised On-Device Federated Learning From Unlabeled Streams

The ubiquity of edge devices has led to a growing amount of unlabeled data produced at the edge. Deep learning models deployed on edge devices are required to learn from these unlabeled data to continuously improve accuracy. Self-supervised representation learning has achieved promising performances using centralized unlabeled data. However, the increasing awareness of privacy protection limits centralizing the distributed unlabeled image data on edge devices. While federated learning has been widely adopted to enable distributed machine learning with privacy preservation, without a data selection method to efficiently select streaming data, the traditional federated learning framework fails to handle these huge amounts of decentralized unlabeled data with limited storage resources on edge. To address these challenges, we propose a self-supervised on-device federated learning framework with coreset selection, which we call SOFed, to automatically select a coreset that consists of the most representative samples into the replay buffer on each device. It preserves data privacy as each client does not share raw data while learning good visual representations. Experiments demonstrate the effectiveness and significance of the proposed method in visual representation learning.
Systematic Literature Review and Research Agenda of Corporate Governance in Indonesia

This study aims to provide a comprehensive overview from various studies in the scope of corporate governance in the Indonesian market using systematic literature review method. This study provide insights about Indonesian corporate governance studies phases, identify gaps, and suggest outlines for future agenda research. There are 37 studies include in this systematic literature review study. The study used after doing an assessment of the quality, based on predetermined criteria. Furthermore, the studies used will be extracted to collect the methodology, theories, characteristics, and results of the research. From this study, we can conclude that in general, Indonesian good corporate governance led companies to improve its financial performance positively. Even the corporate governance code also encourages companies to produce voluntary disclosures in various fields. From this review, a conclusion can be drawn from the research which mentions the results that contradict with the theories and the general results of the research. The gaps in the results are caused by the differences in methodologies, sample, and study period. Further, this condition can be explained by the presence of moderating variables in the form of Indonesia's political and economic conditions.
Evaluation of water based intelligent fluids for resist stripping in single wafer cleaning tools

The application of phasefluid based intelligent fluids® in the field of photoresist stripping was studied. Due to their highly dynamic inner structure, phasefluids penetrate into the polymer network of photoresists and small gaps between resist layer and substrate and lift off the material from the surface. These non-aggressive stripping fluids were investigated regarding their efficiency in various resist stripping applications including initial results on copper metallization. Furthermore intelligent fluids® have been evaluated on an industry standard high volume single wafer cleaner. A baseline process on 300 mm wafers has been developed and characterized in terms of metallic and ionic impurities and defect level. Finally a general proof of concept for removal of positive tone resist from 300 mm silicon wafers is demonstrated.
Cobalt-induced neuro-behavioural alterations are accompanied by profound Purkinje cell and gut-associated responses in rats

Metal ions including cobalt (Co) ions reportedly exhibit neurotoxic and antimicrobial properties. We hypothesized that oral exposure to Co may have implications for gut-dysbiosis with possible alterations of microbiota-gut-brain signaling in the host. In this preliminary study, we sought to examine whether exposure of male Wistar rats to cobalt chloride (CoCl2) at 0, 25, 50 and 100 mg/kg for two weeks affects select neurobehavioural indices, vagus nerve and brain morphology along with evaluation of associated changes in faecal bacterial flora, faecal fatty acids and the morphology of the intestines. CoCl2-exposed rats showed a dose-dependent reduction in hanging latency in the hanging wire (HW) test, reduced tendency to recognize novel objects in a Novel Object recognition (NOR) test, but increased interaction with open arms in the elevated plus maze (EPM) test, compared to controls. There were dose-dependent reductions in total heterotrophic count, coliforms, E. coli, Enterococcal and Lactobacilli counts in the faeces. Administration of CoCl2 at 100 mg/kg evoked the appearance of unsaturated fatty acids including palmitoleic, oleic and linoleic acids in the faeces as detected by gas chromatography-flame ion detection (GD-FID) analysis using fatty acid methyl esters (FAME) standards. Histopathological examination revealed chromatolysis of Purkinje cells in the cerebellum, although no significant lesions were present in the vagus nerve isolated from all the groups. In the intestines, there was moderate to severe infiltration of inflammatory cells into the duodenum, ileum, jejunum and colon while villi erosions were seen prominently in the ileum. These initial findings suggest that short-term exposure to Co can lead to gut-associated changes that may underlie neurotoxicity and alterations in behavior induced by Co.
Remdesevir Antiviral Therapy in Pregnant Women with COVID-19

Background: Coronavirus disease 2019 (COVID-19) is difficult to treat in pregnant women due to pregnancy itself and the lack of standard treatment for the disease. As of August 2021, the etiotropic drug remdesivir has been added to the prescription list for women during gestation. There are few publications in the global scientific community regarding the use of this antiviral drug in pregnant women. Moreover, there are only sporadic scientific studies in Kazakhstan, so the question remains open. Objectives: This study aimed to evaluate the efficacy of remdesivir in pregnant women with probable or confirmed COVID-19. Methods: The study comprehensively examined 120 pregnant women with severe to very severe COVID-19, who were divided into two groups of patients. The study group consisted of women who received remdesivir and standard therapy. The control group included patients who received standard therapy per the protocol. Results: Statistically significant age differences were observed between the main and control groups (P = 0.019). The differences detected were due to a higher frequency in the age group of 33 and 42 years in patients taking remdesivir than in the control group (P = 0.036). Women in the main group (Median = 9.00; Q1 - Q3 = 8.00 - 11.0) had longer hospital stays than the control group (Me = 8.00; Q1 - Q3 = 7.00 - 10.0). This was due to the more severe condition of the patients in this group. There were statistically significant differences in amniotic fluid changes according to ultrasound between the control and main groups (P = 0.013). When comparing the groups in pairs, amniotic fluid was more common in women who received remdesivir (P = 0.316) than in the control group. Our study found that a decrease in temperature to normal levels occurred earlier in the control group (68%) than in the main group. Further SpO2 increases of more than 95% were seen on days 3 - 4 in the main group (71%) and days 1 - 2 in the control group (43%). After three days, there was an improvement in respiratory rate (41.6%) and a reduction in subjective dyspnea (66.6%) in the main group. Conclusions: The study found that repeat mothers have a more severe course of COVID-19. The older age group and the third trimester of pregnancy are risk factors for progression to severe disease.
Comparison of MLR, OPLS, and SVM as potent chemometric techniques used to estimate in vitro metabolic stability

In the drug development pipeline, metabolic stability is not only one of the most limiting factors when it comes to drug candidate approval but is also one of the most resource‐consuming and time‐consuming ones regarding in vitro studies. With the popularization of the in silico approach in the drug discovery process and the application of many excellent chemometric techniques in predicting the properties of compounds, the authors focused on developing a model able to estimate the in vitro half‐life of arylpiperazine derivatives. The aim of the presented study was to develop a regression model and compare the performance of three potent methods (multiple linear regression (MLR), orthogonal partial least squares (OPLS), and support vector machine (SVM)) when predicting in vitro half‐life values. Of the three studied techniques, SVM proved to be the most accurate (RMSESVM = 0.054 for both sets, RMSEMLR = 0.072 for both sets, and RMSEOPLS = 0.073 for both sets) and provided the best predictability (Q2 = 0.8410; for MLR, Q2 = 0.7263; and for OPLS, Q2 = 0.7490). Hence, SVM regression provides valuable predictions and seems to be a promising technique not only for developing regression models but also for studying quantitative structure‐metabolic stability relationships. Copyright © 2016 John Wiley & Sons, Ltd.