Miracle-dz/UniFAR-FTUs huggingface dataset:
Progress in Status Monitoring and Fault Diagnosis of Printing Press Equipment

The research situation and development trend of status monitoring and fault diagnosis of printing press in both domestic and foreign country was analyzed.It was concluded that the research of press monitoring is focused on several aspects,such as vibration signal testing,application of expert experience and knowledge,and introduction of pattern recognition algorithms.Fault diagnosis of printing press based on printing pattern was discussed.As the development of printing machine,traditional fault diagnosis method has been largely restricted in a press system.We considered that future research will be focused on the following: taking multi-information monitoring in printing machine,establishing fault decision-making system with the fusion of empirical knowledge and advanced recognition algorithm,and extracting parameters from the printed information.
Gender sensitivity and stereotypes in medical university students: An Italian cross-sectional study

Gender medicine is crucial to reduce health inequalities. Knowledge about students’ attitudes and beliefs regarding men, women and gender is important to improve gender medicine courses. The aim of this study is to evaluate gender stereotypes and its predictors in Italian medical students. We performed an online cross-sectional study among students from the University of Turin. We used the validated Nijmegen Gender Awareness Scale in Medicine scale to explore gender sensitivity and stereotypes. Multivariable logistic regression model was performed to explore potential predictors of gender awareness. We enrolled 430 students. Female sex, a better knowledge on gender medicine and having had a tutor aware of gender issues are associated with higher gender sensitivity. Older age, a better knowledge on gender medicine and having had a tutor sensitive to gender issues were predictors of more stereotyped opinions towards patients. Having had a tutor aware of gender medicine, male sex and older age were associated with more stereotypes towards doctors. Italian students have high gender sensitivity and low gender stereotypes. Age, higher knowledge of gender medicine and having had a tutor that considered gender were associated with higher gender stereotypes. Focusing on gender awareness in medical schools can contribute to a better care.
Heavy metal pollution and associated health risk assessment of urban dust in Riyadh, Saudi Arabia

Depending on their particle size and concentration, heavy metals in urban dust pose a health hazard to humans. This study investigated the total concentration, health risk, integrated pollution load index (IPI), and enrichment factor (EF) of various heavy metals in urban dust at different locations in Riyadh City. Surface dust samples were collected from 50 different residential yards in the north, south, west, east, and central corners of the city and analyzed for cadmium (Cd), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb), and zinc (Zn). With respect to concentrations heavy metals were in the following order Zn > Cu > Mn > Cr > Ni > Pb > Cd. The EF trends exposed repeated anthropogenic activities were responsible for Mn, Cr, and Ni, while Pb, Zn, and Cu appeared to come from Earth’s crust. Since the heavy metal concentrations were lower than the threshold values, children and adults are exposed to lower health risk in investigated area. Also, there are no pollution of heavy metals in the dust with respect to IPI which is less than the critical limit (<1) with the exception of a sampling location in north side of the city with higher IPI showed unhealthy respiration conditions in particular areas. It was concluded that rapid industrialization and urbanization and their concentrations in dust may cause health problems in near future in north side as well as other sides of Riyadh City.
Administration Routes for SSTR-/PSMA- and FAP-Directed Theranostic Radioligands in Mice

Visual Abstract The NETTER-1, VISION, and TheraP trials proved the efficacy of repeat intravenous application of small radioligands. Application by subcutaneous, intraperitoneal, or oral routes is an important alternative and may yield comparable or favorable organ and tumor radioligand uptake. Here, we assessed organ and tumor biodistribution for various radioligand application routes in healthy mice and models of cancer expressing somatostatin receptor (SSTR), prostate-specific membrane antigen (PSMA), and fibroblast activation protein (FAP). Methods: Healthy and tumor-bearing male C57BL/6 or NOD SCID γ-mice, respectively, were administered a mean of 6.0 ± 0.5 MBq of 68Ga-DOTATOC (RM1-SSTR allograft), 5.3 ± 0.3 MBq of 68Ga-PSMA11 (RM1-PSMA allograft), or 4.8 ± 0.2 MBq of 68Ga-FAPI46 (HT1080-FAP xenograft) by intravenous, intraperitoneal, subcutaneous, or oral routes. In vivo PET images and ex vivo biodistribution in tumor, organs, and the injection site were assessed up to 5 h after injection. Healthy mice were monitored for up to 7 d after the last scan for signs of stress or adverse reactions. Results: After intravenous, intraperitoneal, and subcutaneous radioligand administration, average residual activity at the injection site was less than 17 percentage injected activity per gram (%IA/g) at 1 h after injection, less than 10 %IA/g at 2 h after injection, and no more than 4 %IA/g at 4 h after injection for all radioligands. After oral administration, at least 50 %IA/g remained within the intestines until 4 h after injection. Biodistribution in organs of healthy mice was nearly equivalent after intravenous, intraperitoneal, and subcutaneous application at 1 h after injection and all subsequent time points (≤1 %IA/g for liver, blood, and bone marrow; 11.2 ± 1.4 %IA/g for kidneys). In models for SSTR-, PSMA- and FAP-expressing cancer, tumor uptake was increased or equivalent for intraperitoneal/subcutaneous versus intravenous injection at 5 h after injection (ex vivo): SSTR, 7.2 ± 1.0 %IA/g (P = 0.0197)/6.5 ± 1.3 %IA/g (P = 0.0827) versus 2.9 ± 0.3 %IA/g, respectively; PSMA, 3.4 ± 0.8 %IA/g (P = 0.9954)/3.9 ± 0.8 %IA/g (P = 0.8343) versus 3.3 ± 0.7% IA/g, respectively; FAP, 1.1 ± 0.1 %IA/g (P = 0.9805)/1.1 ± 0.1 %IA/g (P = 0.7446) versus 1.0 ± 0.2 %IA/g, respectively. Conclusion: In healthy mice, biodistribution of small theranostic ligands after intraperitoneal/subcutaneous application is nearly equivalent to that after intravenous injection. Subcutaneous administration resulted in the highest absolute SSTR tumor and tumor-to-organ uptake as compared with the intravenous route, warranting further clinical assessment.
Comparing the Ability of MMPI-2 and MMPI-2-RF Validity Scales to Detect Feigning: A Meta-Analysis

Several meta-analyses of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) and Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF) have examined these instruments’ ability to detect symptom exaggeration or feigning. However, limited research has directly compared whether the scales across these two instruments are equally effective. This study used a moderated meta-analysis to compare 109 MMPI-2 and 41 MMPI-2-RF feigning studies, 83 (56.46%) of which were not included in previous meta-analyses. Although there were differences between the two test versions, with most MMPI-2 validity scales generating larger effect sizes than the corresponding MMPI-2-RF scales, these differences were not significant after controlling for study design and type of symptoms being feigned. Additional analyses showed that the F and Fp-r scales generated the largest effect sizes in identifying feigned psychiatric symptoms, while the FBS and RBS were better at detecting exaggerated medical symptoms. The findings indicate that the MMPI-2 validity scales and their MMPI-2-RF counterparts were similarly effective in differentiating genuine responders from those exaggerating or feigning psychiatric and medical symptoms. These results provide reassurance for the use of both the MMPI-2 and MMPI-2-RF in settings where symptom exaggeration or feigning is likely. Findings are discussed in the context of the recently released MMPI-3.
Prebiotic effects of goji berry in protection against inflammatory bowel disease

Abstract The prevalence of inflammatory bowel disease (IBD) is increasing, which is concerning because IBD is a known risk factor for the development of colorectal cancer. Emerging evidence highlights environmental factors, particularly dietary factors and gut microbiota dysbiosis, as pivotal inducers of IBD onset. Goji berry, an ancient tonic food and a nutraceutical supplement, contains a range of phytochemicals such as polysaccharides, carotenoids, and polyphenols. Among these phytochemicals, L. barbarum polysaccharides (LBPs) are the most important functional constituents, which have protective effects against oxidative stress, inflammation, and neurodegeneration. Recently, the beneficial effects of goji berry and associated LBPs consumption were linked to prebiotic effects, which can prevent dysbiosis associated with IBD. This review assessed pertinent literature on the protective effects of goji berry against IBD focusing on the gut microbiota and their metabolites in mediating the observed beneficial effects.
Add-on or Integration? The future of CR Deployment in Real World - An Industrial and Marketing

Cognitive radio (CR) was once considered as a breakthrough technique to reform the field of wireless communication characterized by great spectrum efficiency enhancement. However, for more than a decade years, this technology has been dwelling in the academia without being able to put expertise to good use in industry. The ultimate reason for this phenomenon is the pervasive idea to consider the cognitive radio network (CRN) as an add-on for existing wireless communication systems, an inevitable result caused by CRN related prescriptions made by FCC. This paper analyzes why such an add-on mode for CRN is hard to be accepted by incumbent wireless communication systems from various perspectives. Meanwhile, we analyze feasibility to operate CRNs integrating with incumbent wireless communication systems from both technical and economic perspectives.
Downregulated ADARB1 Facilitates Cell Proliferation, Invasion and has Effect on the Immune Regulation in Ovarian Cancer

Ovarian cancer (OC) is typically diagnosed at an advanced stage and poses a significant challenge to treatment and recovery. Rencently, Adenosine deaminase RNA-specific B1 (ADARB1), an adenosine-to-inosine (A-to-I) RNA-editing enzyme, has been found to play an essential role in the development of cancer. However, the specific function of ADARB1 in ovarian cancer is still not fully understood. Here, we investigated the effects of ADARB1 on OC biology. By conducting bioinformatics analyses of several public databases, we found significantly decreased ADARB1 expression in OC cells and tissues. Moreover, RT-PCR and western blot showed lower ADARB1 expression in OVCAR3, HO8910pm and A2780 OC cells compared to human normal ovarian epithelial cell IOSE. Cell proliferation assay and clone formation assay showed that overexpression of ADARB1 (ADARB1-OE) inhibited the proliferation of tumor cells. Wound healing and transwell assay indicated that ADARB1-OE could suppress OC cell invasion and metastasis. Kaplan-Meier methods revealed that the patients with low level of ADARB1 displayed poor prognosis. TISIDB databases were further used to analyze the roles of ADARB1 in tumor-immune system interactions in OC patients. Furthermore, ADARB1-OE down-regulated the expression of phosphorylated AKT. Combination of ADARB1-OE and AKT inhibitor MK2206 exerted stronger cell growth inhibition. Thus, our investigation demonstrated that low levels of ADARB1 might be a potential target in the tumorigenesis and prognostic evaluation of OC patients.
Chitosan production by Penicillium citrinum using paper mill wastewater and rice straw hydrolysate as low-cost substrates in a continuous stirred tank reactor

ABSTRACT In this study, paper mill wastewater and hemicellulose hydrolysate were evaluated as low-cost substrates for fungal chitosan production using Penicillium citrinum. Submerged fermentation was first studied using a bioreactor operated under batch, fed-batch and continuous modes with paper mill wastewater as the substrate. Very high removal (91%) of organics as chemical oxygen demand (COD) in the wastewater with 160 mg L-1 chitosan production by P. citrinum was obtained using the bioreactor operated under fed-batch mode for 72 h. Moreover, 86% reduction of phenolics in the wastewater with 89% decolourization efficiency was achieved in the fed-batch experiments with the bioreactor. Under the continuous mode of operation with the bioreactor, maximum chitosan production of 170 mg L-1 was observed. The effect of acetic acid addition to the wastewater for enhancing chitosan production by the fungus was further studied in a batch system. Chitosan productivity of 2.33 mg L-1 h-1 was obtained with 50 mg/L acetic acid. Various models, viz. Monod, Haldane, Andrews, Webb and Yano, were fitted to the experimental data for understanding the kinetics involved in the process. Haldane model accurately fitted the experimental data on biomass specific growth rate, acetic acid consumption rate and chitosan production rate by P. citrinum with acetic acid addition to the wastewater. Fungal fermentation of another low-cost substrate, rice straw hydrolysate, was further studied using the batch-operated bioreactor; and a maximum chitosan titre of 911 mg L−1 was achieved using the detoxified rice straw hydrolysate. Highlights Low-cost substrates for chitosan production by Penicillium citrinum are reported Acetic acid addition to paper mill wastewater enhances chitosan production Biomass growth and chitosan production follow substrate inhibition kinetics Fed-batch -operated bioreactor resulted in 91% wastewater treatment efficiency Maximum chitosan titre of 911 mg L−1 was achieved with rice straw hydrolysate GRAPHICAL ABSTRACT
Influential methods reports for group-randomized trials and related designs

Background. This article identifies the most influential methods reports for group-randomized trials and related designs published through 2020. Many interventions are delivered to participants in real or virtual groups or in groups defined by a shared interventionist so that there is an expectation for positive correlation among observations taken on participants in the same group. These interventions are typically evaluated using a group- or cluster-randomized trial, an individually randomized group treatment trial, or a stepped wedge group- or cluster-randomized trial. These trials face methodological issues beyond those encountered in the more familiar individually randomized controlled trial. Methods. PubMed was searched to identify candidate methods reports; that search was supplemented by reports known to the author. Candidate reports were reviewed by the author to include only those focused on the designs of interest. Citation counts and the relative citation ratio, a new bibliometric tool developed at the National Institutes of Health, were used to identify influential reports. The relative citation ratio measures influence at the article level by comparing the citation rate of the reference article to the citation rates of the articles cited by other articles that also cite the reference article. Results. In total, 1043 reports were identified that were published through 2020. However, 55 were deemed to be the most influential based on their relative citation ratio or their citation count using criteria specific to each of the three designs, with 32 group-randomized trial reports, 7 individually randomized group treatment trial reports, and 16 stepped wedge group-randomized trial reports. Many of the influential reports were early publications that drew attention to the issues that distinguish these designs from the more familiar individually randomized controlled trial. Others were textbooks that covered a wide range of issues for these designs. Others were “first reports” on analytic methods appropriate for a specific type of data (e.g. binary data, ordinal data), for features commonly encountered in these studies (e.g. unequal cluster size, attrition), or for important variations in study design (e.g. repeated measures, cohort versus cross-section). Many presented methods for sample size calculations. Others described how these designs could be applied to a new area (e.g. dissemination and implementation research). Among the reports with the highest relative citation ratios were the CONSORT statements for each design. Conclusions. Collectively, the influential reports address topics of great interest to investigators who might consider using one of these designs and need guidance on selecting the most appropriate design for their research question and on the best methods for design, analysis, and sample size.
Monitoring of intestinal inflammation and prediction of recurrence in ulcerative colitis

Abstract Background and objectives: Ulcerative colitis is a chronic recurrent intestinal inflammatory disease, and its recurrence is difficult to predict. In this review, we summarized the objective indicators that can be used to evaluate intestinal inflammation, the purpose is to better predict the clinical recurrence of UC, formulate individualized treatment plan during remission of UC, and improve the level of diagnosis and treatment of UC. Methods: Based on the search results in the PUBMED database, we explored the accuracy and value of these methods in predicting the clinical recurrence of UC from the following three aspects: endoscopic and histological scores, serum biomarkers and fecal biomarkers. Results: Colonoscopy with biopsy is the gold standard for assessing intestinal inflammation, but it is invasive, inconvenient and expensive. At present, there is no highly sensitive and specific endoscopic or histological score to predict the clinical recurrence of UC. Compared with serum biomarkers, fecal biomarkers have higher sensitivity and specificity because they are in direct contact with the intestine and are closer to the site of intestinal inflammation. Fecal calprotectin is currently the most studied and meaningful fecal biomarker. Lactoferrin and S100A12, as novel biomarkers, have no better performance than FC in predicting the recurrence of UC. Conclusions: FC is currently the most promising predictive marker, but it lacks an accurate cut-off value. Combining patient symptoms, incorporating multiple indicators to construct a UC recurrence prediction model, and formulating individualized treatment plans for high recurrence risk patients will be the focus of UC remission management.
Vegetables for Healthy Diets in Low- and Middle-Income Countries: A Scoping Review of the Food Systems Literature

Background: Vegetables are an essential element in healthy diets, but intakes are low around the world and there is a lack of systematic knowledge on how to improve diets through food system approaches. Methods: This scoping review assessed how studies of food systems for healthy diets have addressed the role of vegetables in low- and middle-income countries. We apply the PRISMA guidelines for scoping reviews to narratively map the literature to an accepted food systems framework and identify research gaps. Results: We found 1383 relevant articles, with increasing numbers over 20 years. Only 6% of articles looked at low-income countries, and 93% looked at single-country contexts. Over half of articles assessed vegetables as a food group, without looking at diversity within the food group. 15% looked at traditional vegetables. Issues of physical access to food were among the least studied food system topics in our review (7% of articles). Only 15% of articles used a comprehensive food system lens across multiple dimensions. There is also a research gap on the impacts of different policy and practice interventions (13% of articles) to enable greater vegetable consumption. Conclusions: Food system studies necessarily drew on multiple disciplines, methods and metrics to describe, analyze, and diagnose parts of the system. More work is needed across disciplines, across contexts, and across the food system, including understanding interventions and trade-offs, and impacts and change for diets particularly of marginalized population groups. Filling these gaps in knowledge is necessary in order to work toward healthy vegetable-rich diets for everyone everywhere.
Expression of activated B-cell gene signature is predictive of the outcome of follicular lymphoma

Gene expression pro ﬁ le (GEP) – de ﬁ ned cell of origin – based classi ﬁ cation enables the molecularly and clinically distinct disease subcategorization in diffuse large B-cell lymphoma (DLBCL), that is, prognostically favorable germinal center B-cell (GCB) and unfavorable activated B-cell (ABC) types. 1 GCB-DLBCL frequently harbors BCL2 gene rearrangement and mutations of epigenetics-related genes such as CREBBP , EZH2 , and KMT2D , whereas ABC-DLBCL is characterized by the constitutive activation of B-cell receptor and NF- k B signaling pathways by various gene abnormalities such as mutations of CD79A/B , MYD88 , and CARD11 and the loss of TNFAIP3 . 2,3 Despite the overall improvement in the of approaches over the last 2 decades, 4,5 follicular lymphoma (FL) still remains incurable, and patients with early progres-sion of this disease have a poor prognosis. 6 The origin of FL has generally been considered as GCB, and the pattern of molecular abnormalities of FL tumors frequently overlaps with that of GCB-DLBCL. 7 How-ever, recent epigenetic analysis and enhancer pro ﬁ ling revealed the existence of 2 molecularly de ﬁ ned subtypes of FL tumors, namely, germinal center centrocyte-like and in vitro – activated plasmablast-like, 8 but the clinical signi ﬁ cance of these classi ﬁ cations remains unknown. Thus, we investigated the association between prognosis and the GEP of FLs using publicly available GEP data sets, and we developed a new
Comparison of feasibility and results of frailty assessment methods prior to left ventricular assist device implantation

Assessing frailty and sarcopenia is considered a valuable cornerstone of perioperative risk stratification in advanced heart failure patients. The lack of an international consensus on a diagnostic standard impedes its implementation in the clinical routine. This study aimed to compare the feasibility and prognostic impact of different assessment tools in patients undergoing continuous‐flow left ventricular assist device (cf‐LVAD) implantation.