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Diabetes Technology Society hosted its annual Diabetes Technology Meeting on November 4 to November 6, 2021. This meeting brought together speakers to discuss various developments within the field of diabetes technology. Meeting topics included blood glucose monitoring, continuous glucose monitoring, novel sensors, direct-to-consumer telehealth, metrics for glycemia, software for diabetes, regulation of diabetes technology, diabetes data science, artificial pancreas, novel insulins, insulin delivery, skin trauma, metabesity, precision diabetes, diversity in diabetes technology, use of diabetes technology in pregnancy, and green diabetes. A live demonstration on a mobile app to monitor diabetic foot wounds was presented.

Abstract The role of surge arresters is vital in power systems' protection against transient overvoltages, which can arise due to occurrences like lightning strikes or switching operations. Based on the performance of the surge arrester, assessing its condition is an essential requirement for early detection of any damage or deterioration. This article proposes innovative criteria based on the surge arresters’ leakage current analysis for the classification of uniform and non‐uniform pollution levels. The leakage current signal of clean, uniform, and non‐uniform polluted surge arresters has been examined under different contamination levels, humidity, and non‐uniformity degrees. Based on the experimental results analysis, a new criterion has been proposed for assessing the surge arrester condition, which has resulted from the fifth and first‐order harmonics ratio of resistive leakage current. Analysis of the proposed criterion demonstrates that this index has a significant correlation to the pollution level. The proposed criterion ability has been established based on random forest, support vector machine, decision tree algorithm, and multi‐layer perceptron in Python language. The obtained criterion based on experimental data in different conditions has been employed for classifier training, which can be applied in the power network for better condition monitoring of surge arresters ensuring fast and accurate outcomes.

Abstract Objective The ongoing outbreak of the respiratory disease coronavirus disease 2019 (COVID‐19) is currently presenting a major global health threat. This pandemic is unprecedented in recent human history. The objective of this study was to examine the relationship between cycle quantitation (Cq) and laboratory parameters in COVID‐19 patients, aiming to determine if Cq levels can provide valuable insights into the COVID‐19 disease. Methods This study involved 234 participants who were divided into case and control groups. Real‐time PCR tests were used to diagnose COVID‐19 cases in the study participants. Blood tests, including complete blood count, C‐reactive protein (CRP), erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), D‐dimer, IgG, and IgM, were also conducted. Statistical analysis was performed using SPSS 22 software. Results The findings showed that COVID‐19‐positive cases had significantly higher levels of the neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), D‐dimer, ESR, CRP, and LDH compared to normal cases. Additionally, the case group had significantly lower lymphocyte and platelet counts. There was a statistically significant positive correlation between Cq levels and lymphocyte count (r = .124, p = .014). Conversely, there was a statistically significant inverse correlation between Cq levels and NLR (r = −.208, p = .017). Furthermore, the evaluation of hematological, inflammatory, and biochemical indexes in COVID‐19 patients using the receiver‐operating characteristics curve demonstrated statistically appropriate sensitivity and specificity. Conclusion Our outcomes indicated a significant association between Cq levels and PLR, NLR, D‐dimer, CRP, and ESR in COVID‐19 patients. Consequently, including the report of laboratory parameters alongside Cq values offers a promising prognosis.

Levodopa (L-Dopa) is the "gold-standard" medication for symptomatic therapy of Parkinson disease (PD). However, L-Dopa long-term use is associated with the development of motor and non-motor complications, primarily due to its fluctuating plasma levels in combination with the disease progression. Herein, we present the first example of individualized therapeutic drug monitoring for subjects upon intake of standard L-Dopa oral pill, centered on dynamic tracking of the drug concentration in naturally secreted fingertip sweat. The touch-based non-invasive detection method relies on instantaneous collection of fingertip sweat on a highly permeable hydrogel that transports the sweat to a biocatalytic tyrosinase-modified electrode, where sweat L-Dopa is measured by reduction of the dopaquinone enzymatic product. Personalized dose-response relationship is demonstrated within a group of human subjects, along with close pharmacokinetic correlation between the finger touch-based fingertip sweat and capillary blood samples.

Levodopa (L-Dopa) is the "gold-standard" medication for symptomatic therapy of Parkinson disease (PD). However, L-Dopa long-term use is associated with the development of motor and non-motor complications, primarily due to its fluctuating plasma levels in combination with the disease progression. Herein, we present the first example of individualized therapeutic drug monitoring for subjects upon intake of standard L-Dopa oral pill, centered on dynamic tracking of the drug concentration in naturally secreted fingertip sweat. The touch-based non-invasive detection method relies on instantaneous collection of fingertip sweat on a highly permeable hydrogel that transports the sweat to a biocatalytic tyrosinase-modified electrode, where sweat L-Dopa is measured by reduction of the dopaquinone enzymatic product. Personalized dose-response relationship is demonstrated within a group of human subjects, along with close pharmacokinetic correlation between the finger touch-based fingertip sweat and capillary blood samples.

This manuscript describes the commissioning of the Mini-CAPTAIN liquid argon detector in a neutron beam at the Los Alamos Neutron Science Center (LANSCE), which led to a first measurement of high-energy neutron interactions in argon. The Mini-CAPTAIN detector consists of a Time Projection Chamber (TPC) with an accompanying photomultiplier tube (PMT) array sealed inside a liquid-argon-filled cryostat. The liquid argon is constantly purified and recirculated in a closed-loop cycle during operation. The specifications and assembly of the detector subsystems and an overview of their performance in a neutron beam are reported.

We report the first measurement of the neutron cross section on argon in the energy range of 100-800 MeV. The measurement was obtained with a 4.3-h exposure of the Mini-CAPTAIN detector to the WNR/LANSCE beam at LANL. The total cross section is measured from the attenuation coefficient of the neutron flux as it traverses the liquid argon volume. A set of 2631 candidate interactions is divided in bins of the neutron kinetic energy calculated from time-of-flight measurements. These interactions are reconstructed with custom-made algorithms specifically designed for the data in a time projection chamber the size of the Mini-CAPTAIN detector. The energy averaged cross section is 0.91±0.10(stat)±0.09(syst)  b. A comparison of the measured cross section is made to the GEANT4 and FLUKA event generator packages, where the energy averaged cross sections in this range are 0.60 and 0.68 b, respectively.

Foreign direct investment is one of the main manifestations of (globalization in the field of investment). Today, most economists and governments emphasize the vital importance of foreign investment. From their point of view, this issue is very important, especially in developing countries, for the formation of economic growth and development flows. One of the ways by which you can increase your share in the field of attracting foreign investment and targeting this type of investment is the use of marketing techniques, especially international marketing. Foreign direct investment (FDI), which is a major form of international capital transfer, has increased significantly during the last decade as one of the results of increasing integration of the global economy. On the other hand, by examining and studying domestic and foreign articles, no research has been found that can deal with the influencing factors on attracting foreign direct investment with an emphasis on green marketing in the field of energy. Also, according to the research model, this research is considered innovation.

Maintainability is one of the design parameters (reliability, availability, maintainability, and safety (RAMS)) and maintenance is needed to keep the respective design in sustainable use. At the same time, the human is involved in the form of interface and interaction in an engineered product/system designed. Ergonomics is a multi-disciplinary science that considers human capabilities and limitations in a broader sense. The objective of this paper is to integrate ergonomics into the maintainability design process in order to facilitate maintenance operation in lesser; time, cost, easier operation as well as the well-being of human who is involved. In other words, good ergonomics lead to good economics and in a broader sense, sustainability. This investigation shows that designing comfortable workplaces and lesser workload for maintenance operators will be beneficial for the maintainability design process and also improve the meantime to repair MTTR. In order to evaluate the effect of designed work-place and workload on maintainers 3 D Static Strength Prediction Program (3D SSPP) that is commonly used as an ergonomics evaluation tool in scientific studies was applied.

Background: Depression is a complicated disturbance affected by a collection of biological and environmental factors. The first aim of psychiatric studies is to recognize biological markers that could be utilized to predict improvement and increase reactions to antidepressant treatments. Diet affects different aspects of health, including depression. The aim of study was to determine antidepressant-like effects of some consumable oils, the effects of oils on depression were compared. Methods: Thirty-two male and female mice (Mus musculus (BALB/c)) weighing 25- 35 g were randomly divided into 8 groups (4 mice in each group, 2 male and 2 female, A: Laden sunflower liquid oil, B: 50% vegetable oil + 50% olive oil, C: Kermanshah Rojin animal oil, D: Spring frying oil, E: Distilled water, F: BAHAR solid vegetable oil, G: Olive oil, H: 50% Kermanshah animal oil + 50% of olive oil). In different groups, 30 g of vegetable or animal oil was gavaged every day at 1:00 pm. Five types of vegetable and animal oils among the high consumption oils in the market were selected, including spring frying oil (used for several times in 305˚f, usually used in eastern Asia countries), Laden sunflower liquid oil, olive oil, Kermanshah Rojin animal oil, and BAHAR solid vegetable oil. After 6 weeks of using the oils diet, the forced swim test was utilized as a test of depression like behavior. Results: There was a significant difference between all groups (P < 0.0001). Based on the results, the latency time of immobility in group A significantly decreased in comparison with groups C (P ˂ 0.02), D (P ˂ 0.003), and G (P < 0.001). However, it increased in groups B and C compared to group H (P ˂ 0.02). Also, this parameter in group D increased significantly compared to groups E (P < 0.01), F (P < 0.05), and H (P < 0.002). Conclusion: The results indicated that olive oil had a preventive effect against forced swimming-induced depression-like symptoms.

The study aims to present a customer relationship management (CRM) model focusing on customer knowledge management in the banking industry. It employs a qualitative, applied research approach using systematic grounded theory. Data was collected through semi-structured interviews with 18 experts from Pasargad Bank, utilizing snowball and purposeful sampling methods. The proposed model includes Causal factors, Contextual factors, and Intervening factors. Our strategies include: improving management structure, enhancing marketing strategies, human resource management, market orientation, and improving service delivery methods. Then 3 categories of factors "banking services marketing" in the three core codes of "greater and established presence in the market", "improving the bank structure for better service delivery" and "realizing internal marketing" were identified as consequences in the customer relationship management model with an emphasis on customer knowledge management in the banking industry. Moreover, the model's validation confirmed construct validity across all dimensions. [ABSTRACT FROM AUTHOR]

Background: This study aimed to evaluate the effect of intravenous Ibuprofen Apotel analgesia in comparison with intravenous Morphine alone regimen in patients undergoing lubmar disc surgery. Methods: This study was a double-blind clinical trial that was performed on patients with moderate to severe lumbar disc pain (VAS score or Visual analog scale more than 4) in August 2019 at Shohada Tajrish hospital. Patients in the Ibuprofen-Apotel group (group A) recieved intravenous Ibuprofen (800 mg) in 100 cc Normal saline in the first 30 minutes of Recovery, then 400 mg in 100 cc Normal saline every 6 hours (48 hours after surgery), plus 30 mg Apotel for each kilogram in100 cc Normal saline in 15 minutes every 8 hours. In group B, Morphine has injected with 70 µg/kg bolus and then 20µg/kg/h infused with a PCA pump with a Maximum Rate of 1mg/hr. Then 60 minutes after surgery, patientschr('39') pain was measured using an analog scale. The primary outcome was defined as a reduction in pain intensity of 3 or more VAS units (which was considered as therapeutic success) and the incidence of side effects was considered as secondary outcomes. Results: Based on the results of this study, the mean age of the subjects was 33.28±12.48 years. Also, the mean age in the group of Ibuprofen-Apotel and Morphine alone were 35.4±13.6 and 31.16±11.75 years. So, there is not a significant difference between the groups. 77.14% of the subjects (54 people) were male and 22.86% (16 people) were women. In comparing the frequency distribution of individuals in terms of gender and the method of creating analgesia, no significant difference was observed between the groups studied. According to the results, after the intervention, the highest pain intensity in both groups was significantly decreased. However, no significant difference was observed between the two groups. Conclusion: The study indicated that Ibuprofen can be effective in controlling postoperative pain.

Abstract Background: Airway management is always of great concern for anesthesiologists especially in the prone position. Utilizing an Armored endotracheal tube is considered to be safe in such patients. Cases Report: In this current case, we introduce a patient undergoing a wake-up test during spinal surgery who suffered from hypoventilation at the end of surgery. His condition improved only after extubation. After extubation, we confronted a herniated cuff that was not deflated, although we tried twice. We concluded that the patient's respiratory effort against obstructed airway produced a negative pressure, which made the cuff herniated, resulting in airway obstruction. Moreover, the patient biting the tube during the wake-up test damaged the tube and cuff deflation pathway. Conclusion: It is important to consider cuff herniation as a cause of obstruction when other possible etiologies are ruled out.

We investigate a data‐driven dynamic inventory control problem involving fixed setup costs and lost sales. Random demand arrivals stem from a demand distribution that is only known to come out of a vast ambiguity set. Lost sales and demand ambiguity would together complicate the problem through censoring, namely, the inability of the firm to observe the lost portion of the demand data. Our main policy idea advocates periodically ordering up to high levels for learning purposes and, in intervening periods, cleverly exploiting the information gained in learning periods. By regret, we mean the price paid for ambiguity in long‐run average performances. When demand has a finite support, we can accomplish a regret bound in the order of 풪(T2/3·(lnT)1/2) which almost matches a known lower bound as long as inventory costs are genuinely convex. Major policy adjustments are warranted for the more complex case involving an unbounded demand support. The resulting regret could range between 풪(T0.779) and 풪(T0.889) depending on the nature of moment‐related bounds that help characterize the degree of ambiguity. These are improvable to 풪(T2/3·(lnT)2) when distributions are light‐tailed. Our simulation demonstrates the merits of various policy ideas. [ABSTRACT FROM AUTHOR]

In the new century, consumer concerns about environmental accountability, which are also aligned with environmental laws, have pushed a growing number of companies to design and create environmentally friendly programs. Accordingly, this study examines how to implement a green marketing mix to sell a product and stay in the market. Based on this, a sample of 90 investment marketing specialists in the field of green marketing in the field of energy was randomly selected and examined according to the volume of each category. The conceptual model of the research was designed based on the combined theoretical studies of green marketing and consumer intention and based on it, questionnaires were designed and the desired data were collected. The results show that in order to research the objectives of the research, the following items should be considered in such a way that they can compete with similar types: the use of recyclable materials to produce the product to reduce environmental damage, the introduction and presentation of environmentally friendly energy in exhibitions, conferences and seminars, the use of update transportation system to distribute products in the market to do less harm to the environment, appropriate pricing of green products.

For specific clinical diagnoses, positron emission tomography (PET) can detect more sites of disease than conventional anatomical imaging such as x-ray computed tomography (CT) or magnetic resonance imaging (MRI). Interpretation of PET can be difficult; however, PET images have few anatomical landmarks for determining the location of abnormal findings. Combining PET and CT images acquired sequentially on their separate devices provides a partial solution to this problem. In earlier years PET/CT has an important role in detecting tumors, planning radiation treatment and evaluating response to therapy. Differences in PET and CT imaging time, especially in the lung region, cause artifacts and errors in estimating tumor uptake and volume determination. The purpose of this paper was to investigate qualitative and quantitative errors due to respiratory artifacts on tumors of the lung. For this purpose, the XCAT phantom was used to simulate respiratory motion and also, STIR was used to apply attenuation maps on reconstruction of PET images. The evaluation of results was performed by ROI and SULmax parameters. The images from various methods of attenuation correction, indicated that respiratory motion on regions above the lungs is poorly. The best method is the Initial review of PET images to obtain the size and location of the tumor and then make a decision about the appropriate respiratory phase based on the size and location of the tumor for attenuation correction of PET images.

The low-background, VUV-sensitive 3-inch diameter photomultiplier tube R11410 has been developed by Hamamatsu for dark matter direct detection experiments using liquid xenon as the target material. We present the results from the joint effort between the XENON collaboration and the Hamamatsu company to produce a highly radio-pure photosensor (version R11410-21) for the XENON1T dark matter experiment. After introducing the photosensor and its components, we show the methods and results of the radioactive contamination measurements of the individual materials employed in the photomultiplier production. We then discuss the adopted strategies to reduce the radioactivity of the various PMT versions. Finally, we detail the results from screening 286 tubes with ultra-low background germanium detectors, as well as their implications for the expected electronic and nuclear recoil background of the XENON1T experiment.