Miracle-dz/UniFAR-FTUs huggingface dataset:
Challenges for the implementation of the in-vitro diagnostics regulations in the light of â??real-lifeâ?? performance of blood glucose self-monitoring devices

Objective: Accurate and reliable blood glucose monitoring devices (BGMDs) are required for adequate self-monitoring and management for people suffering from diabetes mellitus. To ensure a high level of safety for patients and users of in vitro diagnostic devices, an updated In Vitro Diagnostic Regulation (IVDR 2017/746) has been published, including new safety and performance prerequisites. However, BGMD accuracy may be limited by certain ‘real-life’ environmental factors, which should be respected in the performance evaluation. Methods: The temperature-and humidity-dependent performance of 4 different BGMD using up to 440 capillary blood samples was determined. BGMDs with associated test strips were stored at 15°C, 25°C and 35°C resp. at a relative humidity of 40% and 80% in order to imitate potential ‘real-life’ performance settings. Glucose measurements were compared to blood glucose values determined using standardized Laboratory equipment and were analyzed based on the ISO 15197:2013 system accuracy criteria. Results: Two out of three BGMDs provided consistent results across temperature ranges based on the medical threshold of a mean glucose change less than 15 mg/dl, although blood glucose difference of up to 96 mg/dl was found at an individual patient level after pairwise temperature comparison. For one device up to 31.2% of patients’ values were outside the defined limits when comparing 15o C to 35o C. Changes in humidity levels did not significantly influence the mean values across the BGMDs, although high deviations were observed at patients’ individual glucose levels. Conclusion: Moderate temperature and humidity changes can affect the accuracy of point-ofcare devices to a profound extent at an individual patient level. These ‘real-life’ environmental factors need to be included in the performance evaluation as required in the IVDR 2017/746 in order to provide a solid testing system for novel point-of-care-devices.
Coating activated carbon from coconut shells with Co3O4/CeO2 for high-performance supercapacitor applications: An experimental study

Activated carbon from coconut shells is a low-cost, environmentally friendly material that is available for fabricating the electrodes for electric double-layer capacitance supercapacitors. As such, activated carbon derived from coconut shells was coated with Co3O4/CeO2, and its electrical and ionic conductivity were evaluated. The ternary technique for selecting materials was systematically investigated with an economical process. The Co3O4/CeO2 coating that was formed on the activated carbon coconut shells was deemed AC-Co3O4-CeO2. The 90-05-05 composite was the best electrode for electric double-layer capacitance supercapacitors, resulting in high conductivity (0.62 x 103 S·cm2), low series resistance and internal resistance (based on the Nyquist plot), and the charge-discharge was able to reach 0.56 V for 90 seconds (1A/g). Therefore, activated carbon coconut shells coated in Co3O4/CeO2 can promote the necessary characteristics of electrodes needed for electric double-layer capacitance supercapacitors.
Platooning for Improved Safety and Efficiency of Semi-Trucks (PISES) II

Advances in both scientiﬁc computing and machine learning have led to techniques to improve, replace, or speed up methods to solve problems in the physical sciences. For many nonlinear systems, traditional methods of calculation often carry a heavy computational burden due to complex dynamics, physical constraints, or multi-scale behavior. We introduce a machine learning approach to vastly decrease computational complexity of modeling spatiotemporal systems, leveraging prior physical knowledge of the system with ﬂexible reduced representations of the underlying dynamics. We demonstrate this technique on three-dimensional turbulent ﬂuid ﬂow, wherein the modeling of such systems continues to be a formidable problem for engineers and physicists. We merge convolutional layers with a Neural ODE approach to form a differentiable ML architecture to build a system model. Here, we test the applicability of this method to model homogeneous isotropic turbulence, as well as the effect of different architectural elements on turbulence statistics. We ﬁnd that the largest scales of the ﬂow, which are relevant to engineering applications, are well-approximated and some dynamic characteristics of interest are maintained.
A New Species of the Intertidal Limpet Eoacmaea (Patellogastropoda: Eoacmaeidae) from Yonaguni Island, Japan and Taiwan.

A new species of intertidal limpet was identified from Yonaguni Island, Japan and southern Taiwan in the present study and described as Eoacmaea nivea n. sp. It was previously reported by different authors as Cellana mauritiana, or as Acmaeid sp. in Taiwan, and as Patelloida sp. in Yonaguni Island, Japan. Based on detailed morphological observations and molecular analyses (COI), E. nivea n. sp. is distinguished from other Eoacmaea species. Eoacmaea nivea n. sp. is presently known from southern Taiwan, and a population on Yonaguni Island, Japan that is very limited. The present study reports a total 11 species of patellogastropod limpet species in Taiwan. The seven species-Cellana grata, Cellana toreuma, Nipponacmea nigrans, Nipponacmea fuscoviridis, Lottia dorsuosa, Lottia luchuana and Lottia tenuisculpta-were found in the intertidal on rocky shores along the north to northeastern shores of Taiwan. The five species-Cellana radiata, Lottia luchuana, Scutellastra flexuosa, Patelloida saccharina and E. nivea n. sp. -can be found mostly within depressions in limestone substrate in southeastern Taiwan. Of these, only Lottia luchuana is found throughout Taiwan, and overall has a tropical, not warm-temperate, distribution.
MOLECULAR CHARACTERIZATION OF SOME PATHOGENIC BACTERIA ISOLATED FROM MAYONNAISE

The purpose of this study was to determine the molecular characterization of some pathogenic bacteria isolated from commercial and small producers mayonnaise sold in restaurants and supermarkets in Assiut governorate. In the present study, the samples were analyzed for the presence of Salmonella spp. , listeria spp. and staphylococcus aureus and according to microbiological analysis, Salmonella spp. , listeria monocytogenes and staph. aureus were detected in 3 of 40 (7.5%), 3 of 40 (7.5%) and 7 of 40 (17.5%) of examined samples of small producers mayonnaise, respectively. The examined samples of commercial mayonnaise were free from salmonella spp. and listeria spp. but staph. aureus could be detected in 2 samples in a percentage of 5%. The presumptive isolates were further confirmed by PCR using specific primers of Salmonella invA isolates, L. monocytogenes 16S rRNA gene and Staph. aureus clfA gene and serotyping of Salmonella. These results indicated that small producers mayonnaise samples may contain pathogenic bacteria and thereby represent a risk to the consumers in regard to foodborne diseases. Thus, it is essential to include the effective hygiene practices as an important safety measure in the production of small producers mayonnaise. Bacterial loads were detected in mayonnaise including hazardous bacteria in spite of a high acidity of the product. This high light the importance of improving production situations and hygienic status in ready to eat foods establishments.
Hypercalcemia and CYP24A1 Gene Mutation Diagnosed in the 2nd Trimester of a Twin Pregnancy: A Case Report

Patient: Female, 33-year-old Final Diagnosis: Hypercalcemic crisis • pregnancy Symptoms: Hypercalcemia • hypertension • hypertensive crisis • pregnancy Medication: — Clinical Procedure: — Specialty: Genetics Objective: Rare disease Background: Loss-of-function mutations of the CYP24A1 gene cause a deficiency of the CYP24A1 enzyme, which is involved in the catabolism of 1,25-dihydroxyvitamin D3. Patients who are CYP24A1 enzyme deficient are at increased risk of developing hypercalcemia during pregnancy and should avoid additional vitamin D supplementation. This case report provides additional information for managing and diagnosing patients with a CYP24A1 gene mutation. Case Report: A primipara woman with a twin pregnancy was admitted to our hospital for frequent hypertensive crises. She had no history of hypercalcemia-associated signs and symptoms except nephrocalcinosis, and reported no other abnormalities or discomfort at presentation. Laboratory tests revealed that the parathyroid hormone level was suppressed and the serum calcium level was markedly increased. The 25-hydroxyvitamin D level was at the upper limit of the reference range while the 1,25-dihydroxyvitamin D3 level was elevated, suggesting a vitamin D catabolism disorder. A genetic test was performed and a homozygous likely pathogenic variant (based on the American College of Medical Genetics and Genomics guidelines) c.964G>A (p.Glu322Lys) was detected in the CYP24A1 gene (NM_000782.5). A cesarean section delivery was performed due to a single intrauterine demise at 33 weeks of gestation. The preterm newborn was diagnosed with transitional hypercalcemia and hyperphosphatemia; however, he was not treated, as he was asymptomatic. Conclusions: Patients with a CYP24A1 gene mutation are at increased risk of hypercalcemia and fetal demise; therefore, 25-hydroxyvitamin D and calcium levels should be monitored in routine blood tests during pregnancy. Hypercalcemia in a newborn should be carefully evaluated and treated, as hypercalciuria can lead to nephrocalcinosis.
On the Solutions of the b-Family of Novikov Equation

In this paper, we study the symmetric travelling wave solutions of the b-family of the Novikov equation. We show that the b-family of the Novikov equation can provide symmetric travelling wave solutions, such as peakon, kink and smooth soliton solutions. In particular, the single peakon, two-peakon, stationary kink, anti-kink, two-kink, two-anti-kink, bell-shape soliton and hat-shape soliton solutions are presented in an explicit formula.
MEASURING BANKS SERVICE QUALITY FROM CUSTOMER’S PERSPECTIVE: USING FUZZY IPA APPLICATION

The paper proposes a contemporary fuzzy decision making approach for evaluating customer satisfaction level in Indian bank over importance performance analysis approach. Most of the service quality measures are stated using lingual expressions by using five point or seven point likert scale. Hence, evaluation of perceptions and expectations of customers regarding service quality using non-fuzzy methods ignores the ambiguity involved in individual judgments. The paper attempts to eliminate the ambiguity by replacing a conventional importance performance analysis (IPA) approach with Fuzzy IPA approach. The study deals with the concept of fuzziness in individual’s perception. The relative importance of attributes is specified by consolidating logarithmic expressions and partial correlation analysis. Therefore, fuzzy set theory is applied to conventional IPA. Finally, Fuzzy IPA is suggested and implemented in an Indian bank case study. The suggested model can help bank mangers in ascertaining crucial service attributes to improve service quality.
Research Update: Recent progress on 2D materials beyond graphene: From ripples, defects, intercalation, and valley dynamics to straintronics and power dissipation

This review article was based on contents discussed in the 5th annual Graphene and Beyond workshop held at Pennsylvania State University. The workshop was sponsored by Corning, Morgan Advanced Materials, APL Materials, CVD Equipment Corporation, and FEI. The authors thank the following funding agencies for supporting their research: NSF, DOE, DOD, AFOSR, and SRC. The authors also thank NEWLIMITS, a center in nCORE, a Semiconductor Research Corporation (SRC) program sponsored by NIST and thank LEAST, one of six STARnet Centers, a SRC program sponsored by MARCO and DARPA. (NSF; DOE; DOD; AFOSR; SRC; NIST; MARCO; DARPA)
Accumulation of Exogenous Phytohormones on Chlorogenic Acid

Phytohormones or plant hormones, are normally happening little natural atoms or substances which impact physiological forms in plants at exceptionally moo concentrations. In other words, phytohormones are chemical flagbearers that arrange cellular exercises of plants. Phytohormones or plant hormones, are actually happening little natural particles or substances which impact physiological forms in plants at exceptionally moo concentration. In other words, phytohormones are chemical delivery people that arrange cellular exercises of plants. From the early disclosure of auxin as the primary phytohormone to the foremost later distinguishing proof of strigolactones (SL) nine categories of phytohormones, that's , auxins, cytokinins (CK), gibberellins (GA), abscisic corrosive (ABA), ethylene (ETH), brassinosteroids (BR), salicylates (SA), jasmonates (JA) and strigolactones (SL), have been distinguished so distant [1].
Multi-Conditional Analysis of Indian Ambient Air Quality Using MQ-135 Sensor

In the present times, air quality is a major concern in whole world. Major parts of the world irrespective of developing or developed nations are a victim to Air Pollution; it is one of the biggest problems. Air quality is of significant concern because of its negative effect on the health of the region’s living conditions, climate, and economy it is caused by harmful pollutants released from natural or man made activities. [1] Such pollutants causing air Pollution are CO2, CO, SO2, NO2, O3, Suspended particulate Matter (SPM), Respirable particulate matter (RSPM), volatile organic compounds such as Alcohols, benzene, etc. and smoke. [2]. Therefore it is a bit challenging but necessary task to monitor air quality in real time looking towards the upcoming time. As a part of experiment monitoring of air Quality in real time using Arduino microcontroller unit with MQ 135 air quality sensor is done. It measures NH3, NOx, alcohol, Benzene, smoke, CO2, etc. [3] which can be displayed in ppm And DHT11 humidity and temperature sensor which can be displayed in percentage and degree Celsius respectively and plotting of graphs showing variation in air quality with respect to time, temperature, humidity, different locations and seasonal variation in air quality. Also an alarm was connected with Arduino unit so that when air quality goes down and LCD shows value beyond certain permissible limit then alarm will start beeping to alert people about the severity of air. The benefits of sensor, having reliable stability, rapid response Recovery, having long life, affordable as cost and power consumption is minimum, Portable, light in weight, and user friendly. All the data’s have been shown so that a fair variation could be observed in the air quality.
Preliminary Feasibility Study for Introducing 4th Industrial Revolution Technology to Nuclear Plant

These days, the 4th industrial revolution technology widely spread out in various fields. This technology has been developing to improve safety and economy of systems including human society. In this study, the characteristics of this technology and adoptability to the nuclear power plant are feasibly examined. Although this technology has some weakness in the viewpoint of the nuclear field, it has lots of advantages to keep the plant safer and more economical. It can provide precise status information of plant to operator, make preventive maintenance, give better operational aid and eliminate human errors. In the near future, this technology will be introduced to nuclear power plant through overcoming some weakness.
New in the etiology, pathogenesis, prevention and treatment of atherosclerosis. The two different types of cholesterol plaques have nothing to do with each other

The article is presented in the form of a review and analysis of the literature, which additionally helps to reveal the mechanisms of the pathogenesis of the development of atherosclerosis. This article provides a completely new understanding of the stages and sequence of atherosclerosis development. The modern vision is refuted, which states that all types of lesions in atherosclerosis are developed successively, one after another. The article sheds a light on a significant difference between type IV atherosclerotic lesions and between types V and VI atherosclerotic lesions. Type IV atherosclerotic lesions consists of one lipid core with molten extracellular lipid. Stretches the middle and outer layers of an artery from one side and protrudes beyond the anatomical artery dimensions over the years. In contrast, type V atherosclerotic lesions type is a long, concentric, soft, strong, elastic, yellow, uniform structure, in the form of a tube with a hole in the middle, located in the lumen, which is easily removed from the artery. This types V and VI atherosclerotic lesions - the author suggests calling “cylindrical cholesterol plaque”. Type V atherosclerotic lesions (cylindrical cholesterol plaque) has nothing to do with types I-V atherosclerotic lesions. There are many “coincidences” that make it impossible to see the difference between them. Type V atherosclerotic lesions (cylindrical cholesterol plaque) is an independent pathological structure that appears in a short period of time (few minutes) in the lumen of a healthy artery in case of artery spasm and appearance of a strong obstruction to blood flow. Low density lipoproteins are retained within the wall, in front of the site of arterial narrowing, and quickly create a CCP in the form of a hollow cylinder. All subsequent forms of types V and VI atherosclerotic lesions - concentric and eccentric, are the result of the destruction of the original concentric structure of the type V atherosclerotic lesions (cylindrical cholesterol plaque).
Towards understanding speaker perception and its applications to automatic speaker recognition: effects of speaking style variability

A speaker’s voice constantly varies in everyday situations such as talking to a friend, reading aloud, talking to pets, or narrating a sad incident. These speaking style changes affect the human ability to distinguish speakers based on their voice. We investigate the effects of moderate speaking style variations on human speaker discrimination performance. We also compare human performance between “same speaker” and “different speaker” trials and ﬁnd that the former heavily relies on within-speaker variability and is affected by speaking style variations. Our study shows that the human and machine approaches to speaker discrimination could be different. We model the relationship between human speaker perception and speaker acoustic variability. We also aim to use this model to improve the automatic speaker veriﬁcation (ASV) systems. This work systematically analyzes the effects of speaking style variability on ASV systems. We propose an entropy-based variable frame rate (VFR) technique to address style variability by performing data augmentation using style normalized speaker representations.
Clinical significance of serum procalcitonin and C-reactive protein in patients with septic shock

Objective: This study aimed to explore and analyze the clinical significance of procalcitonin (PCT) and C-reactive protein (CRP) in patients with septic shock. Method: A total of 72 patients with septic shock were enrolled and divided into death group (n = 21) and survival group (n = 51) according to treatment outcomes. Another 20 sepsis patients without septic shock were selected as control group. Examination of PCT, CRP, acute physiology and chronic health status scoring system II (APACHE II) as well as the Sequential Organ Failure Assessment (SOFA) scores were performed within 24 h of admission. PCT, CRP, SOFA, and APACHE II scores were evaluated among the three groups. Patients with septic shock were categorized as different groups according to the APACHE II and SOFA scores. The correlation between CRP, APACHE II, and SOFA scores was analyzed. The prognostic value of PCT and CRP levels in patients with septic shock was explored. Results: The death group showed the highest PCT, CRP, SOFA and APACHE II scores, followed by the survival and control groups, respectively (P < 0.05). PCT and CRP levels were the highest in patients with APACHE II score > 20, followed by those with score of 11-20 points and those with score 0-10 points, respectively (P < 0.05). Patients with SOFA score > 10 points had the highest PCT and CRP levels, followed by those with 6-10 points and those with 0-5 points, respectively (P < 0.05). PCT was positively correlated with APACHE II and SOFA scores (P < 0.05), while CRP was not correlated with APACHE II and SOFA scores (P > 0.05). The sensitivity and specificity of PCT in determining the prognosis of patients with septic shock were 66.8% and 45.4%, while those of CRP were 82.2% and 80.3%. Conclusion: The expression of CRP and PCT may be indicative of the prognosis of patients.
Role of AFP, AFP-L3, PIVKA-II, and CA199 in diagnosis and prognosis evaluation of liver cancer

This study aimed to explore the role of alpha fetoprotein (AFP), AFP-L3, PIVKA-II, and carbohydrate antigen 199 (CA199) in the diagnosis and prognosis of liver cancer (LC). A total of 86 patients with primary LC were categorized as the liver cancer group (LCG), 85 non-LC patients with chronic hepatitis B as the non-LC group (NLCG), and 80 healthy subjects as the control group (CG). The expression levels of AFP, PIVKA-II, and CA199 among the three groups were compared. Kaplan-Meier curve was adopted to analyze the relationship between AFP, PIVKA-II, CA199, and the prognosis of patients with LC. The serum expression levels of AFP, PIVKA-II, and CA199 were different among the three groups (P < 0.001). The test with all four factors in combination had the best diagnostic efficacy. The diagnosis with PIVKA-II had the highest specificity. The patients were divided into the high expression group (HEG) and low expression group (LEG) by the expression levels of AFP, AFP-L3, PIVKA-II, and CA199. It showed that the 5-year survival rate in HEG was lower than that in LEG (P < 0.05). Cox multiple-factor analysis showed that tumor size, differentiation, TNM stage, AFP-L3, and PIVKA-II were the independent risk factors of prognosis. The test with AFP, AFP-L3, PIVKA-II, and CA199 in combination had a better diagnostic value. High expression of AFP, AFP-L3, PIVKA-II, and CA199 is related to poor prognosis of patients with LC.
Monetary Policy and Asset Bubbles in a Small Open Economy

This paper examines the effects of monetary policy on fluctuations in asset bubbles in a small open economy. The paper’s model incorporates a basic New Keynesian setup to introduce monetary policy. A Taylor type rule is followed in response of asset bubbles (the ”leaning against the wind” policy). In this environment, there is a possibility that when a policy maker reacts strongly to bubbles, the bubbles changes that are caused by an unexpected foreign interest shock become small and welfare is improved more than in a situation wherein the Taylor rule is not used with regard to asset bubbles.