Miracle-dz/UniFAR-FTUs huggingface dataset:
A modular system architecture for agile assembly of nanocomponents using optical tweezers

In order to realize the flexibility optical trapping offers as a nanoassembly tool, we need to develop natural and intuitive interfaces to assemble large quantities of nanocomponents quickly and cheaply. We propose a system to create such an interface that is scalable, inter-changeable and modular. Several prototypes are described, starting with simple interfaces that control a single trap in the optical tweezers instrument using a 3-dimensional Phantom haptic device. A networkbased approach is adopted early on, and a modular prototype is then described in detail. In such a design, individual modules developed on different platforms work independently and communicate with each other through a common language interface using the Neutral Messaging Language (NML) communication protocol. A natural user interface is implemented that can be used to create and manipulate traps interactively like in a CAD program. Modules such as image processing and automatic assembly are also added to help simplify routine assembly tasks. Drawing on lessons learned from the prototypes, a new system specification is formulated to better integrate the modules. Finally, conclusions are drawn on the overall viability and future of network-based systems for nanoassembly using optical tweezers.
Benefits and Risks Associated with Meat Consumption during Key Life Processes and in Relation to the Risk of Chronic Diseases

Red meat has been an important part of the diet throughout human evolution. Overall, when included as part of a healthy and varied diet, red meat can provide a rich source of bioavailable essential nutrients and high biological value protein. The present paper discusses the dietary role/impact of red and processed meat, with some reference to the relative effect of white meat, in a range of chronic conditions including iron-deficiency anaemia, cardiovascular diseases (CVD), cancer and dementia. The role of red meat in relation to key physiological conditions such as maintaining skeletal muscle and bone health and during pregnancy is also discussed. The inclusion of lean red meat in a healthy, varied diet may be beneficial during these critical conditions. There is however increasing evidence that red meat and especially processed meat are associated with increased risks of CVD, cancer and dementia whereas white meat is neutral or associated with a lower risk. There now seems little doubt that processed and unprocessed meat should have separate public dietary guidance.
Adaptive Robust Control of Pneumatic Cylinders Using Fast Switching on/off Solenoid Valves

A standard projection mapping-based adaptive robust controller is proposed to achieve high-accuracy motion trajectory tracking control of a pneumatic cylinder driven by fast switching on/off solenoid valves. Due to the model errors, unmodelled dynamics and the unknown disturbances, there exist large parametric uncertainties and rather severe uncertain nonlinearities in the modeling of the pneumatic position servo system. To address these problems, the proposed controller employs on-line parameter estimation to reduce the extent of parametric uncertainties, and utilizes a nonlinear robust control method to attenuate the effects of parameter estimation errors, uncertain nonlinearities and disturbances. Therefore, a prescribed transient control performance and high tracking accuracy is guaranteed. In addition, the complete separation of the estimator design and the robust control law design is realized due to the adoption of the standard projection mapping technology. Extensive experimental results are presented to illustrate the effectiveness of the proposed controller and its performance robustness to sudden disturbances. For tracking a sinusoidal trajectory with amplitude of 0.09 m, frequency of 0.5 Hz, the maximum absolute tracking error is 1.51 mm and the root-mean-square tracking error is 0.72 mm.
TREATMENT OUTCOME AND TOXICITY OF HYPOFRACTIONATED RADIOTHERAPY WITH CONCOMITANT CHEMOTHERAPY VERSUS CONVENTIONAL FRACTIONATED CONCOMITANT CHEMORADIATION IN LOCALLY ADVANCED HEAD-AND-NECK CARCINOMA: A COMPARATIVE STUDY

Objectives: In our study, radiation of a higher dose per fraction (2.75 Gy/fraction, total dose of 55 Gy/20 fractions/4 weeks) with concomitant chemotherapy was compared with conventional chemoradiation (2 Gy/fraction, a total dose of 66 Gy/33 fractions/6 and half weeks, with concomitant chemotherapy), in patients of locally advanced squamous cell carcinomas of head and neck in terms of efficacy and toxicities. Methods: A total of 75 patients registered at the Department of Radiotherapy, NRS Medical College and Hospital, Kolkata, were allotted in two arms chronologically in a 1:1 ratio. Arm A – Patients received hypofractionated radiotherapy, 55 Gy/20 fractions in 4 weeks with concomitant weekly cisplatin (40 mg/m2). Arm B – Patients received conventional radiotherapy, 66 Gy/33 fractions in 6½ weeks with concomitant weekly cisplatin (40 mg/m2). Results: Both in terms of efficacy and toxicities, the hypofractionation arm was comparable to the conventional arm, and no statistically significant difference was present between the arms. For the study arm, complete response was 56.6%, partial response was 36.6%, and for control arm, complete response 50% and partial response 37.5% (p=0.750). In terms of acute toxicities and late dysphagia, both the arms were almost similar. Conclusion: The hypofractionated regimen was associated with tolerable acute and late toxicities and satisfactory local control. Considering the patient load, the overall treatment time, and the cost of hospital stay, this hypofractionated regimen is a good treatment option in our low-resource setup.
Euphorbia neriifolia Leaf Juice on Mild and Moderate COVID-19 Patients: Implications in OMICRON Era

Abstract Coronavirus disease-2019 (COVID-19) has shattered the public health delivery system of most of the countries of the world. COVID-19 displays variable clinical presentations. The severe COVID-19 represents a fulminant pathological condition and most of the patients run a downhill course if extensive medical measures are not adopted. The major challenges about COVID-19 are related to develop strategies to manage huge populations of mild and moderate cases of COVID-19 with two realistic purposes: (1) early negativity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and (2) arrest of progression of moderate COVID-19 patients from developing severe complications. Although several medications have been repurposed for these purposes, none of these have passed the test of time in global perspective. Thus, there remains a pressing need to develop new and novel innovative management strategies for these patients as new variants of SARS-CoV-2 have been destroying the normal public health delivery system of different countries from time to time. The study presented here has checked the safety and efficacy of a herbal medication, leaves of Euphorbia neriifolia Linn (E. neriifolia), in mild and moderate COVID-19 patients. Sixty patients (30 mild COVID-19 and 30 moderate COVID-19) were enrolled in the study. Fifteen mild COVID-19 patients received standard of care (SOC) management, and the remaining 15 patients received SOC plus E. neriifolia. The moderate COVID-19 patients similarly received either SOC (N = 15) or SOC plus E. neriifolia (N = 15). Although there were marked diversity regarding biochemical parameters of these patients at entry, the moderate COVID-19 patients receiving E. neriifolia showed decrease in C-reactive protein and D-dimer and increase in oxygen saturation 7 days after trial commencement. However, these improvements were not detected in moderate COVID-19 patients receiving SOC. Hospital staying was significantly lower in both mild and moderate COVID-19 patients receiving SOC plus E. neriifolia than those receiving only SOC. Taken together, it may be proposed that usage of E. neriifolia may have beneficial effects regarding management for COVID-19 patients, especially for those in developing and resource-constrained countries, although a conclusive statement may not be given due to small sample size. This herbal medication is also pertinent in the context of emergence of OMICRON variant of COVID-19 as the overload of SARS-CoV-2-infecetd patients may be addressed considerably by this medication without hospitalization, if proper communication between patients and physicians can be ensured. How to cite this article Pramanik MEA, Miah MMZ, Ahmed I, et al. Euphorbia neriifolia Leaf Juice on Mild and Moderate COVID-19 Patients: Implications in OMICRON Era. Euroasian J Hepato-Gastroenterol 2022;12(1):10–18.
3D Printing Applied to Tissue Engineered Vascular Grafts

The broad clinical use of synthetic vascular grafts for vascular diseases is limited by their thrombogenicity and low patency rate, especially for vessels with a diameter inferior to 6 mm. Alternatives such as tissue-engineered vascular grafts (TEVGs), have gained increasing interest. Among the different manufacturing approaches, 3D bioprinting presents numerous advantages and enables the fabrication of multi-scale, multi-material, and multicellular tissues with heterogeneous and functional intrinsic structures. Extrusion-, inkjet- and light-based 3D printing techniques have been used for the fabrication of TEVG out of hydrogels, cells, and/or solid polymers. This review discusses the state-of-the-art research on the use of 3D printing for TEVG with a focus on the biomaterials and deposition methods.
An Automatic Porosity And Saturation Evaluation Based On the Inversion of Multiple Well Logs

We propose an automated method for inference of porosity and saturation, which can be used for quickly assessing reservoir rock quality and fluid volumes. The method is based on the inversion of multiple well logs using the Bayesian Theory. The well logs consist of neutron porosity, density, sonic (P-wave and S-wave velocities) and resistivity, which are related to porosity and saturation through the appropriate rock physics models. Following the Bayesian Theory, the formal solution of the inverse problem is a posterior distribution, which takes into account data uncertainties and prior information, including clay content, matrix mineralogy and fluid properties. Several tests, using single logs or a combination of logs, show that integration of multiple well logs operates constructively to produce reliable estimates of both porosity and saturation, considering that appropriate resolution is not available from single data sets. Tests include both synthetic and real data, allowing for comparisons with true values and estimates from the conventional method of interpretation. Even with simplistic uncertainty models (i.e., additive normally distributed noise), our Bayesian approach closely matches porosity and saturation obtained by the conventional method.
JUSTIFICATION OF ENDOLIFTING IN LAPAROSCOPIC SURGERY ON THE KIDNEY (EXPERIMENTAL RESEARCH)

In the experiment at 8 human corpses the effectiveness of the original model of spiral laparolift and traditional methods of carboxyperitoneum during laparoscopic surgeries for kidney and upper urinary tract have been compared. The offered model of laparolift creats satisfactory intra- and extracorporeal spatial relationships between laparolift, tools and object of surgery, practically does not restrict freedom of extracorporeal movements of handles of working tools and laparoscope. The study showed that the availability of the surgery object, as working space in both the abdominal cavity and outside at the application of this laparolift are quite sufficient for laparoscopic surgery on the kidney. The positive results of the pilot study allowed successfully perform laparoscopic gas free surgeries on the kidneys (nephrectomy, resection) and upper urinary tract (pyeloplasty) in clinical practice, especially in patients with contraindications to surgeries in conditions of carboxyperitoneum
Genetic Structure Analysis of 155 Transboundary and Local Populations of Cattle (Bos taurus, Bos indicus and Bos grunniens) Based on STR Markers

Every week, 1–2 breeds of farm animals, including local cattle, disappear in the world. As the keepers of rare allelic variants, native breeds potentially expand the range of genetic solutions to possible problems of the future, which means that the study of the genetic structure of these breeds is an urgent task. Providing nomadic herders with valuable resources necessary for life, domestic yaks have also become an important object of study. In order to determine the population genetic characteristics, and clarify the phylogenetic relationships of modern representatives of 155 cattle populations from different regions of the world, we collected a large set of STR data (10,250 individuals), including unique native cattle, 12 yak populations from Russia, Mongolia and Kyrgyzstan, as well as zebu breeds. Estimation of main population genetic parameters, phylogenetic analysis, principal component analysis and Bayesian cluster analysis allowed us to refine genetic structure and provided insights in relationships of native populations, transboundary breeds and populations of domestic yak. Our results can find practical application in conservation programs of endangered breeds, as well as become the basis for future fundamental research.
Plasma–Saline Water Interaction: A Systematic Review

Plasma–liquid interaction research has developed substantially in recent years due, mostly, to the numerous applications of cold atmospheric plasma (CAP). Plasma–liquid interactions are influenced by the concentrations of the ionic species present in the liquid environment, and few studies have paid attention to saline water, which generally mediates the reactions in many plasma applications. Therefore, the present review aims to explore the main results and the influence of variables on the modification of properties of saline water by CAP sources following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The searches were carried out in the Scopus, Science Direct, and Web of Science databases, resulting in the inclusion of 37 studies. The main effects of the interaction between CAP and saline water are (i) the production of reactive oxygen and nitrogen species (RONS); (ii) the increase in conductivity and decrease in pH, directly proportional to the increase in discharge voltage; (iii) and the effective area of interaction and the shortest distance between electrode and solution. Other effects are the localized evaporation and crystallization of salts, which make the interaction between plasma and saline water a promising field in the development of technologies for desalination and improvement of liquid properties.
Assessing scale‐dependent effects on Forest biomass productivity based on machine learning

Abstract Estimating forest above‐ground biomass (AGB) productivity constitutes one of the most fundamental topics in forest ecological research. Based on a 30‐ha permanent field plot in Northeastern China, we modeled AGB productivity as output, and topography, species diversity, stand structure, and a stand density variable as input across a series of area scales using the Random Forest (RF) algorithm. As the grain size increased from 10 to 200 m, we found that the relative importance of explanatory variables that drove the variation of biomass productivity varied a lot, and the model accuracy was gradually improved. The minimum sampling area for biomass productivity modeling in this region was 140 × 140 m. Our study shows that the relationship of topography, species diversity, stand structure, and stand density variables with biomass productivity modeled using the RF algorithm changes when moving from scales typical of forest surveys (10 m) to larger scales (200 m) within a controlled methodology. These results should be of considerable interest to scientists concerned with forest assessment.
Partly parametric generalized additive model

In many scientific studies, the response variable bears a generalized nonlinear regression relationship with a certain covariate of interest, which may, however, be confounded by other covariates with unknown functional form. We propose a new class of models, the partly parametric generalized additive model (PPGAM) for doing generalized nonlinear regression with the confounding covariate effects adjusted nonparametrically. To avoid the curse of dimensionality, the PPGAM specifies that, conditional on the covariates, the response distribution belongs to the exponential family with the mean linked to an additive predictor comprising a nonlinear parametric function that is of main interest, plus additive, smooth functions of other covariates. The PPGAM extends both the generalized additive model (GAM) and the generalized nonlinear regression model. We propose to estimate a PPGAM by the method of penalized likelihood. We derive some asymptotic properties of the penalized likelihood estimator, including consistency and asymptotic normality of the parametric estimator of the nonlinear regression component. We propose a model selection criterion for the PPGAM, which resembles the BIC. We illustrate the new methodologies by simulations and real applications. We have developed an R package PPGAM that implements the methodologies expounded herein. Abstract Approved: Thesis SupervisorApproved: Thesis Supervisor Title and Department
Research on the Path of Integrating the Red Gene into the Moral Education of Translation Course

Red gene is the spiritual core and “genetic map” of red culture and it is the political mission and responsibility of colleges to implement “educating people with moral values”. The teaching objectives, teaching contents and teaching methods of the translation courses integrate with the education of red gene, which is conducive to the implantation of red gene in the moral education of the translation course. It is carried out by introducing the history of red translation, integrating the local red gene and “Internet+ Red Culture Resource Project”. The high degree of integration between red gene and translation course in both theoretical and practical dimensions is good for the formation of a synergy of red culture education and cultivation of talents in translation course. By finding out the integration between the red gene and translation expertise, we can establish the inner relationship in a seamless way through the systematic design of translation course to achieve the “genetic” integration.
Single Phase Heat Transfer In Parallel Micro-Channel Heat Sink

A copper parallel channels test piece has built into the test section containing twenty five, one mm by one mm, parallel channels the channels were fifty mm long; the Heat-transfer coefficients for single-phase are reported. Microchannel was Square shape and the test section has a glass top plate to permit visual observations. The data are taken while the rig is working . The test section is received the heat by an electric heater is associated normally with a boundary condition for constant heat flux. Because the important variation in the single-phase heat-transfer coefficient in the inlet zone, the interceding copper and aluminum material is shown to make the test section close isothermal wall boundary condition. The heat conduction influence is taken into computation in the data analysis finally; the effective heat flux and the single-phase heat transfer coefficient are reported in this paper experiments and predictions. Key words— Single phase Heat transfer cofficients , Parallel channels ,Heat flux,Mass flux.
Correlación de la t(9;22), t(12;21) e hiperdiploidía de ADN con el inmunofenotipo y la tasa de proliferación de células B neoplásicas en niños con leucemia linfoblástica aguda de precursores B

Introduccion. Del 60 al 80 % de los pacientes con leucemia linfoblastica aguda de precursores B presentan alteraciones geneticas que influyen en el pronostico de la enfermedad y en la biologia del tumor. Objetivo. Analizar distintas alteraciones geneticas en leucemia linfoblastica aguda de precursores B en ninos, y su relacion con el inmunofenotipo y con la tasa de proliferacion, en comparacion con precursores B normales. Materiales y metodos. En 44 pacientes se evaluo, por citometria de flujo, el inmunofenotipo, el contenido de ADN y la proliferacion, y por RT-PCR, las traslocaciones t(9;22), t(12;21), t(4;11) y t(1;19). Mediante un analisis jerarquizado de conglomerados se identificaron los patrones inmunofenotipicosde expresion asociados a las traslocaciones, tomando como referencia precursores B normales. Resultados. La cuantificacion del ADN mostro que el 21 % de los casos de leucemia linfoblastica aguda de precursores B eran hiperdiploides de indice alto y, el 47,7 %, hiperdiploides de indice bajo. La presencia de hiperdiploidia se asocio con mayor proliferacion tumoral y con inmunofenotipos aberrantes, que incluyeron expresion anormal de CD10, TdT, CD38 y CD45 y un mayor tamano de los linfoblastos. La presencia de t(9;22) y t(12;21) discrimina celulas normales de celulas tumorales con aberraciones en la expresion de CD19, CD20, CD13, CD33, CD38, CD34 y CD45. Conclusiones. El perfil de aberraciones fenotipicas detectado en conjunto con anormalidades en la proliferacion tumoral, se asocia de forma significativa con hiperdiploidiia de ADN y discrimina deforma clara linfoblastos con t(9;22) y t(12;21) de los precursores B normales. La identificacion de estos parametros sera de gran utilidad como herramienta para la clasificacion y seguimiento de lospacientes. doi: http://dx.doi. org/ 10.7705/biomedica.v33i3. 1441
Identification of hadronic tau lepton decays using a deep neural network

A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (τ h) that originate from genuine tau leptons in the CMS detector against τ h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a τ h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine τ h to pass the discriminator against jets increases by 10–30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient τ h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved τ h reconstruction method are validated with LHC proton-proton collision data at √s = 13 TeV.
Pressure Injuries and Management after Spinal Cord Injury

Spinal cord injury (SCI) results in motor paralysis and sensory loss that places individuals at particularly high risk of pressure injuries. Multiple comorbidities associated with autonomic, cardiovascular, pulmonary, endocrine, gastrointestinal, genitourinary, neurological, and musculoskeletal dysfunction makes it even more likely that pressure injuries will occur. This manuscript will review the structure and function of the integumentary system, and address the multidisciplinary approach required to prevent and manage pressure injuries in this vulnerable population.
Implementing a temperature-resistant fiber hydrophone sensor using FBG

A new type of fiber acoustic sensor (hydrophone) is exhibited here with two fiber Bragg gratings (FBG) and a unique demodulation method. Almost all former FBG sensors had separated detecting and demodulating components while this FBG hydrophone has an idiomatic structure for both detecting and demodulating method, it utilizes a couple of same cascaded FBGs, as well as a barrel shaped structure. The physical form of the hydrophone helps us to overcome the effects of temperature noises and it will even help us for localization purposes in future works. We successfully reached more than 0.5nm/MPa sensitivity which is appropriate for environments with less than 200dB pressure.