Miracle-dz/UniFAR-FTUs huggingface dataset:
A Platform for Private and Controlled Spreadsheet Objects Sharing

Spreadsheets are widely used in industries for tabular data analysis, visualization and storage. Users often exchange spreadsheets' semi-structured data to collaborative analyze them. Recently, office suites integrated a software module that enables collaborative authoring of office files, including spreadsheets, to facilitate the sharing process. Typically spreadsheets collaborative authoring applications, like Google Sheets or Excel online, need to delocalize the entire file in public cloud storage servers. This choice is not secure for enterprise use because it exposes shared content to the risk of third party access. Moreover, available platforms usually provide coarse grained spreadsheet file sharing, where collaborators have access to all data stored inside a workbook and to all the spreadsheets' formulas used to manipulate those data. This approach limits users' possibilities to disclose only a small portion of tabular data and integrate data coming from different sources (spreadsheets or software platforms). For these reasons enterprise users prefer to control fine grained confidential data exchange and their updates manually through copy, paste, attach-to-email, extract-from-email operations. However unsupervised data sharing and circulation often leads to errors or, at the very least, to inconsistencies, data losses, and proliferation of multiple copies. We propose a model that gives business users a different level of spreadsheet data sharing control, privacy and management. Our approach enables collaborative analytics of tabular data focusing on fine grained spreadsheet data sharing instead of coarse grained file sharing. This solution works with a platform that implements an end to end encrypted protocol for sensitive data sharing that prevents third party access to confidential content. Data are never shared into public clouds but they are transferred encrypted among the administrative domains of collaborators. In this paper we describe the model and the implemented system that enable our solution. We focus on two enterprise use cases we implemented describing how we deployed our platform to speed up and optimize industry processes that involve spreadsheet usage.
Embedded 1-Mb ReRAM-Based Computing-in- Memory Macro With Multibit Input and Weight for CNN-Based AI Edge Processors

Computing-in-memory (CIM) based on embedded nonvolatile memory is a promising candidate for energy-efficient multiply-and-accumulate (MAC) operations in artificial intelligence (AI) edge devices. However, circuit design for NVM-based CIM (nvCIM) imposes a number of challenges, including an area-latency-energy tradeoff for multibit MAC operations, pattern-dependent degradation in signal margin, and small read margin. To overcome these challenges, this article proposes the following: 1) a serial-input non-weighted product (SINWP) structure; 2) a down-scaling weighted current translator (DSWCT) and positive–negative current-subtractor (PN-ISUB); 3) a current-aware bitline clamper (CABLC) scheme; and 4) a triple-margin small-offset current-mode sense amplifier (TMCSA). A 55-nm 1-Mb ReRAM-CIM macro was fabricated to demonstrate the MAC operation of 2-b-input, 3-b-weight with 4-b-out. This nvCIM macro achieved $T_{\text {MAC}}= 14.6$ ns at 4-b-out with peak energy efficiency of 53.17 TOPS/W.
Abnormal Increment Substrate Current After Hot Carrier Stress in n-FinFET

This letter investigates the mechanism of abnormal substrate current (<inline-formula> <tex-math notation="LaTeX">$\text {I}_{\text {sub}}$ </tex-math></inline-formula>) after hot carrier stress (HCS) in fin field effect transistors (FinFETs). Traditionally, after HCS, the drain current and <inline-formula> <tex-math notation="LaTeX">$\text {I}_{\text {sub}}$ </tex-math></inline-formula> of the saturation region will continue to decrease. In this work, however, <inline-formula> <tex-math notation="LaTeX">$\text {I}_{\text {sub}}$ </tex-math></inline-formula> first decreased and then exhibited a gradual abnormal rise. This abnormal <inline-formula> <tex-math notation="LaTeX">$\text {I}_{\text {sub}}$ </tex-math></inline-formula> behavior was investigated by different measurement methods and was determined to be due to trap-assisted tunneling. This study first uses different operating voltages to prove the proposed model, then applies a variable temperature stress condition to confirm the model. Finally, a junction current measurement is used to determine the location of defect generation.
Using the Quality of Life Index as a Prognostic Stratification Tool in Advanced Cancer

• Objective: To use continuous quality of life (QOL) data to categorize patients into distinct prognostic groups using survival analysis. • Design: Case series. • Patients and setting: QOL data were collected from 954 cancer patients treated at Cancer Treatment Centers of America Midwestern comprehensive cancer center between April 2001 and November 2004. • Measurements: Ferrans and Powers Quality of Life Index (QLI) was used to evaluate patient QOL. We used half a standard deviation difference to sequentially stratify QLI subscale scores into 2 mutually exclusive categories. Kaplan-Meier survival analysis was used to calculate survival. The log-rank statistic derived from survival analyses was plotted as a function of the cutpoints to identify which cutpoints maximized the difference in survival between the
Dynamic Neutralization: A New Concept for Restabilization of the Spine

In the natural evolution of degeneration of the intervertebral disc and facets, from failure of the disc, to arthritis of the facets, subsiding of the upper vertebra into the lower one and finally stenosis or fused deformation, the functional tripod (disc and facets) go through different stages of instability. We strongly believe, that an anatomical stabilization of the disc and facets could stop this evolution of destabilization. The concept of the spinal implant presented here is the re-stabilization of one or more segments still allowing a controlled range of motion. To overcome non-physiological movements we developed a system called DYNESYS (DYnamic NEutralization SYstem for the Spine). DYNESYS is composed of ProtasulTM 100 pedicular screws, SuleneTM-PET cords and SuleneTM-PCU spacers. The cord is introduced through the screw heads and the spacers placed in-between and fixed after
React Native Performance Evaluation

Smartphones have become an ubiquitous device for people, and there are multiple mobile platforms to choose from. For mobile developers this means more work, as they will need to learn the tools and technologies unique to each platform, and develop their application separately for each platform. Cross platform tools such as React Native promise a solution where developers can use the same tools and technologies across different platforms. A React Native application is essentially a JavaScript application that controls native user interface components. As such, a React Native application has to perform more background work compared to an equivalent native mobile application. This thesis studies whether React Native carries any meaningful performance penalties with it on the Android platform, and whether it is possible to work around these problems. It aims to provide some insight into the performance figures of React Native for both developers considering the technology and researchers wanting to do further research. Methods for measuring application launch times, render latency of components, navigation latency and list scrolling are presented. In all but the last case, the measurements can be directly compared between a React Native and an Android application to find out the exact overhead of React Native in each situation. The findings indicate that React Native does incur meaningful performance penalties compared to native code. In many cases the performance hit is not significant enough to cause user frustration, but especially on older devices common operations such as application launch and component rendering are noticeably slower and may have up to 10 times longer latency than the native equivalent. On modern devices the overhead of React Native is less noticeable, making React Native a better fit when targeting newer hardware.
Effect of varnish containing casein phosphopeptides-amorphous calcium phosphate and fluoride on surface microhardness of enamel – An in vitro study

Background: Fluoride varnish is one of the professionally applied topical fluoride agents. The ease of application of fluoride varnishes has led to its popularity in pediatric dentistry. Aim: The aim of the study is to evaluate and compare the effect of varnish containing casein phosphopeptides-amorphous calcium phosphate (CPP-ACP) and fluoride (MI Varnish®) with that of varnish containing only fluoride (Fluor Protector®) on surface microhardness (SMH) of enamel. Materials and Methods: Enamel blocks were cut from the 90 premolar teeth samples. The samples were divided into three Groups (A, B, and C) consisting of 30 blocks each. Varnish containing CPP-ACP with fluoride was applied on samples of Group A and varnish containing only fluoride was applied on the samples of Group B. Group C was used as control group; without any varnish application. After varnish application, these samples were subjected to pH cycling. Following, SMH was assessed using SMH tester machine. Results: The mean values of SMH for Group A were 488 ± 6 vickers hardness number (VHN), Group B were 485 ± 12 VHN, and Group C were 448 ± 12 VHN. Conclusion: There was no significant difference in the SMH of enamel between the varnish containing CPP-ACP and fluoride, with that of varnish containing only fluoride.
Two-Phase Transport in Proton Exchange Membrane Fuel Cells

Proton exchange membrane (PEM) fuel cells have emerged, in the last decade, as a viable technology for power generation and energy conversion. Fuel cell (FC) engines for vehicular applications possess many attributes such as high fuel efficiency, low emission, quiet and low temperature operation, and modularity. An important phenomenon limiting fuel cell performance is the two-phase flow and transport of fuel and oxidant from flow channels to reaction sites. In this paper a mathematical model is presented to study the two-phase flow dynamics, multi-component transport and electrochemical kinetics in the air cathode, the most important component of the hydrogen PEM fuel cell. A major feature of the present model is that it unifies single- and two-phase analyses for low and high current densities, respectively, and it is capable of predicting the threshold current density corresponding to the onset of liquid water formation in the air cathode. A numerical study based on the finite volume method is then undertaken to calculate the detailed distributions of local current density, oxygen concentration, water vapor concentration and liquid water saturation as well as their effects on the cell polarization curve. The simulated polarization curve and predicted threshold current density corresponding to the onset of liquid water formation for a single-channel, 5cm2 fuel cell compare favorably with experimental results. Quantitative comparisons with experiments presently being conducted at our laboratory will be reported in a forthcoming paper.
Chronic Recurrent Multifocal Osteomyelitis Mimicking Infection

AbstractChronic recurrent multifocal osteomyelitis (CRMO) is commonly confused with hematogenous bacterial osteomyelitis. It is a rare, inherited, autoinflammatory disease of children, adolescents, and occasionally, adults. The CRMO causes focal skeletal pain and tenderness at the site of inflammation that can greatly limit physical activity. We present 2 patients of CRMO who underwent an extensive workup to rule out an infectious cause.
Non-motor symptoms in multiple sclerosis

Multiple Sclerosis is an immune-mediated chronic inflammatory disease of the central nervous system (CNS) in genetically susceptible individuals. Even if diseasemodifying treatment was introduced more than a decade ago, symptomatic treatment is as important as previously, as immunomodulatory medications are not curing. Recent years focus on health-related quality of life (HRQoL) has demonstrated the importance of non-motor problems in MS, of which fatigue, depression, anxiety, and pain are amongst the most important. This thesis shows that pain was underdiagnosed amongst patients with MS and that only one-third of the patients were treated for their pain. Pain was independent of demographic and clinical variables. Fourty percent of the patients reported pain as having an important influence on daily activities. Thirty-one percent of the patients reported symptoms of depression, while 19 % reported anxiety; both figures being significantly higher than in the general population. Only 16 % of the depressed patients and only 11 % of those suffering from anxiety reported treatment. 18 % of the untreated patients with symptoms expressed the need of treatment. A total of 60 patients with MS with moderate disability (Expanded Disability Status Scale, EDSS, 4.0-6.5), were included for four weeks of daily individualised physiotherapy based on the Bobath concept. Fatigue improved after four weeks with inpatient physiotherapy, but the patients’ perception of fatigue was not correlated with improvement in physical performance. After three months, fatigue scores worsened while physical performance was improved. Improvement of fatigue after inpatient physiotherapy may therefore be explained by other factors than physiotherapy treatment alone. A 30-month follow-up of 318 secondary progressive MS (SPMS) patients showed the HRQoL to be lower than for controls, strongly influenced by physical disability, disease progression and fatigue. The HRQoL dimension of pain, sleep and emotional reactions were influenced by MS. There is a need of optimizing symptomatic treatment and psychosocial patient care to improve patients’ function and HRQoL. There is also a need of clinical trials to evaluate interventions for symtopmatic treatment and care. Finally, the patients need regular follow-up evaluations with focus on non-motor problems and to be
The study explores the effect of onion (allium cepa l.) drying using hot air dehumidified by activated carbon, silica gel and zeolite

Dehumidified air can be used to reduce the drying time. A batch-type tray dryer with hot air dehumidified by three different desiccants (i.e. activated carbon, silica gel and zeolite) were carried out to determine the optimum drying time. This study concerns the comparison of the between those desiccants. One mm sliced onion were dried at controlled temperature (40°C, 50°C, 60°C and 70°C). The weight of the samples were measured every 10 minutes for two hours. Results indicate that hot air dehumidified by zeolite gives the shortest drying time compared to the activated carbon and silica gel. Page and modified Page models are the most suitable model to experiment with the value of R2 (0.8971 – 0.9588). The highest k value (0.6132934) is achieved through the treatment at temperature 70°C using zeolite.
Lipophilization of Phenolic Acids through Esterification Using p-toluenesulfonic Acid as Catalyst

Abstract Lipophilic antioxidants are used in edible oils and oleaginous foods. Therefore, development of novel lipophilic antioxidant is very important. p-toluenesulfonic acid (PTSA) catalyzed esterification of dihydrocaffeic acid (DHCA) with hexanol was selected as model reaction to investigate the synthesis of lipophilic antioxidant. The highest yield of hexyl dihydrocaffeate was achieved under the following optimum conditions: 1 mol% PTSA, 1:30 molar ratio of dihydrocaffeic acid to hexanol without molecular sieves at 80 °C in 2 h. The relationship between temperature and the forward rate constant gave the activation energy of 22.6 kJ/mol, which indicated that PTSA possessed high catalytic activity in the synthesis of hexyl dihydrocaffeate. In addition, the activity of PTSA was not inhibited by the water produced during esterification process. Importantly, this esterification could even proceed smoothly when initial water content was below 5%. In addition, the esterification of a set of phenolic acids could take place efficiently under the same conditions affording the corresponding esters in good to excellent yields. This established method will provide an efficient method for produce lipophilic antioxidants from various natural phenolic acids. Supported by Scientific and Technological Project of Henan Province (No. 182102110024) and Basic Research Funds of Henan University of Technology (No. 2015RCJH01).
Au/NiFe2O4 nanoparticle-decorated graphene oxide nanosheets for electrochemical immunosensing of amyloid beta peptide

In the present work, an electrochemical immunosensor has been fabricated for the detection of amyloid beta peptide (βA1-–42) based on a gold nanoparticle/nickel ferrite decorated graphene oxide-chitosan nanocomposite (Au/NiFe2O4@GO-Ch) modified glassy carbon electrode (GCE) as an effective sensing platform. βA1–42 has been analyzed as a potential biomarker for its application in Alzheimer's disease monitoring. The combination of highly conducting Au and NiFe2O4 nanoparticles on two-dimensional GO nanosheets provides an excellent platform for sensitive and selective sensing applications. A miniaturized Au/NiFe2O4@GO-Ch/GCE immunosensor was prepared by immobilization of βA antibody onto Au//NiFe2O4@GO-Ch/GCE via carbodiimide coupling. Various characterization techniques were utilized in the study to estimate the morphological and electronic attributes of the components used to fabricate the immunosensor. Differential pulse voltammetry (DPV) was performed to study the amperometric response of the developed immunosensor as a function of βA1–42 concentration. The DPV results confirmed that the immunosensor detected βA1–42 selectively and demonstrated a wide linear range from 1 pg mL−1 to 1 ng mL−1 and a detection limit of 3.0 pg mL−1. Furthermore, the immunosensor also indicated its clinical viability by detecting βA1–42 in cerebrospinal fluid.
Highly luminescent crystals of a novel linear π-conjugated thiophene-phenylene co-oligomer with a benzothiadiazole fragment.

The synthesis, growth from solutions and structure of crystals of a new linear thiophene-phenylene co-oligomer with a central benzothiadiazole fragment with a conjugated core, (TMS-2T-Ph)2-BTD, are presented. Single-crystal samples in the form of needles with a length of up to 7 mm were grown and their crystal structure was determined at 85 K and 293 K using single-crystal X-ray diffraction. The conformational differences between the crystal structures are insignificant. The parameters of melting and liquid crystalline phase transitions of (TMS-2T-Ph)2-BTD were established using differential scanning calorimetry and the thermal stability of the crystals was investigated using thermogravimetric analysis. The optical absorption and photoluminescence spectra of the solutions and crystals of (TMS-2T-Ph)2-BTD were obtained, and the kinetics of their photodegradation under the action of UV radiation were studied.
Theoretical study of encapsulation of Floxuridine anticancer drug into BN (9,9-7) nanotube for medical application

Abstract Due to the toxicity and resistance of anticancer drugs, various methods have been investigated to improve their effects in cancer treatment. Since boron nitride nanotubes (BNNTs) are biocompatible and nontoxic, they can act as fine drug delivery vehicles of these anticancer drugs to deliver them directly to the target cells. In this research encapsulation of Floxuridine as anticancer drug into the boron nitride nanotube (9,9-7) are investigated using density functional theory (DFT). Analysis of the adsorption energy reveals that the encapsulation process is favorable. Furthermore, the strengths of the bonds of the system are estimated by energetic, geometric and molecular orbital descriptors. Some analyses have been made to explore any change in binding characteristics of the drug molecule after encapsulation to nanotube. The interaction effects of Floxuridine drug and boron nitride nanotube (9,9-7) on the electronic properties, chemical shift tensors and natural charge was also determined and discussed. It is believed that these studies can contribute to the understanding of the interaction between the drug molecule and BNNT and to the development of BNNT-based drug delivery devices. Graphical Abstract
Kinetics of nutrient change and color retention during low‐temperature microwave‐assisted drying of bitter melon (
 Momordica charantia
 L.)

The changes in nutrient (phenolics and vitamin C) and color of bitter melon slices, during microwave‐assisted drying (MWAD) at different microwave power values (1.5, 3.0, and 4.5 W/g) and air temperatures (20, 25, and 30°C) are reported. Fits of the experimental data to a semi‐empirical mathematical model were used to determine the half‐lives of the nutrients. Color change during drying was similarly characterized using CIELAB color space parameters. The rates of nutrient degradation and color change increased with an increase in microwave power, and drying temperature, but the drying times decreased significantly. The total electrical energy consumed under various drying conditions was measured. Although a microwave power of 1.5 W/g and an air temperature of 25°C resulted in the highest levels of nutrient retention, the drying time and process energy consumption were relatively high. In comparison, the drying conditions of 4.5 W/g and 30°C provided an acceptable compromise. PRACTICAL APPLICATIONS: Low‐temperature MWAD is a promising alternative to conventional drying for food that contains temperature‐sensitive nutrients. This article provides a methodology for analyzing the kinetics of nutrient and color change during a MWAD process. A 3² factorial design was used to derive predictive correlations for drying time, nutrient half‐life, time constants characterizing color change, and electrical energy consumed during the drying process. The relative influences of microwave power and drying temperature could be readily discerned using these correlations. The reported study will help in developing and optimizing microwave drying processes for a variety of food products.
Effects of filtration methods and water volume on the quantification of brown trout (
 Salmo trutta
 ) and Arctic char (
 Salvelinus alpinus
 ) eDNA concentrations via droplet digital PCR

The quantification of the abundance of aquatic organisms via the use of environmen‐ tal DNA (eDNA) molecules present in water is potentially a useful tool for efficient and noninvasive population monitoring. However, questions remain about the reli‐ ability of molecular methods. Among the factors that can hamper the reliability of the eDNA quantification, we investigated the influence of five filtration methods (filter pore size, filter type) and filtered water volume (1 and 2 L) on the total eDNA and the fish eDNA concentrations of two species, brown trout ( Salmo trutta ) and Arctic char ( Salvelinus alpinus ) from tanks with known number of individuals and biomass. We applied a droplet digital PCR (ddPCR) approach to DNA extracted from water samples collected from two cultivation tanks (each of them containing one of the targeted species). Results showed that the quantification of fish eDNA concentra‐ tions of both species varies with filtration methods. More specifically, the 0.45‐µm Sterivex enclosed filters were identified to recover the highest eDNA concentra‐ tions. Difficulties to filter 2 L water samples were present for small pore size filters (≤0.45 µm) and likely caused by filter clogging. To overcome issues related to filter clogging, common in studies aiming to quantify fish eDNA molecules from water samples, we recommend a procedure involving filtration of multiple 1 L water sam‐ ples with 0.45‐µm enclosed filters, to recover both high quality and high concentra‐ tions of eDNA from targeted species, and subsequent processing of independent DNA extracts with the ddPCR method.