Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved delivery of broadly neutralizing antibodies by nanocapsules suppresses SHIV infection in the CNS of infant rhesus macaques

Broadly neutralizing antibodies (bNAbs) directed to HIV-1 have shown promise at suppressing viremia in animal models. However, the use of bNAbs for the central nervous system (CNS) infection is confounded by poor penetration of the blood brain barrier (BBB). Typically, antibody concentrations in the CNS are extremely low; with levels in cerebrospinal fluid (CSF) only 0.1% of blood concentrations. Using a novel nanotechnology platform, which we term nanocapsules, we show effective transportation of the human bNAb PGT121 across the BBB in infant rhesus macaques upon systemic administration up to 1.6% of plasma concentration. We demonstrate that a single dose of PGT121 encased in nanocapsules when delivered at 48h post-infection delays early acute infection with SHIVSF162P3 in infants, with one of four animals demonstrating viral clearance. Importantly, the nanocapsule delivery of PGT121 improves suppression of SHIV infection in the CNS relative to controls.
Costs and Outcomes of Integrated Human African Trypanosomiasis Surveillance System Using Rapid Diagnostic Tests, Democratic Republic of the Congo

We integrated sleeping sickness case detection into the primary healthcare system in 2 health districts in the Democratic Republic of the Congo. We replaced a less field-friendly serologic test with a rapid diagnostic test, which was followed up by human African trypanosomiasis microscopic testing, and used a mixed costing methodology to estimate costs from a healthcare provider perspective. We screened a total of 18,225 persons and identified 27 new cases. Average financial cost (i.e., actual expenditures) was US $6.70/person screened and $4,464/case diagnosed and treated. Average economic cost (i.e., value of resources foregone that could have been used for other purposes) was $9.40/person screened and $6,138/case diagnosed and treated. Our study shows that integrating sleeping sickness surveillance into the primary healthcare system is feasible and highlights challenges in completing the diagnostic referral process and developing a context-adapted diagnostic algorithm for the large-scale implementation of this strategy in a sustainable and low-cost manner.
Harnessing the soil: reshaping the tumor microenvironment towards an antitumor immune state by low‐dose metformin

Metformin, a biguanide derivate, has been in use as an anti-diabetic agent for over 60 years and has been widely accepted as first-line therapy for the management of type II diabetes. Interestingly, the treatment of type II diabetes with metformin is associated with reduced risk and improved prognosis for many types of cancers [1]. This observation has led to an explosion of interest in the potential application of metformin for cancer chemopreventive and direct antitumor effects, but also more recently for potential immunomodulatory activity. Cancer immunotherapy has amajor impact on the treatment outcomes of various solid tumors, with long-term remission and even cure in certain patients. Nevertheless, the heterogeneity of the tumor microenvironment, such as those found in esophageal cancer, can influence the response to immunotherapy [2]. The use of drugs such as metformin may help to alter the tumor immune microenvironment (TIME) and could improve the efficiency of immunotherapy. The antitumor immune activity of metformin has only become a focus in the past 2-3 years in preclinical studies, including enhancing the quality and quantity of T cells [3], switching the phenotype of tumorpromoting macrophages to tumor-suppressive [3], altering cytokine expression and downregulating programmed death-ligand 1 (PD-L1) [4, 5]. We recently reported on a phase II clinical trial of lowdose metformin treatment in patients with esophageal squamous cell carcinoma (ESCC) that provided clear evidence of the immunomodulatory properties of metformin in the TIME of cancer patients [6]. In this double-blinded study, patients underwent endoscopic biopsy of esophageal tumors. Upon pathological diagnosis with ESCC, patients were randomized to receive tablets of 250mgmetformin or
Outcome Metrics in the Treatment of Distal Radius Fractures in Patients Aged Above 50 Years: A Systematic Review

Background The inclusion of patient-reported outcome measures (PROMs) serves to better quantify aspects of patient outcomes missed with objective measures, including radiographic indices and physical examination findings. We hypothesize that PROMs are inconsistently and heterogeneously captured in the treatment of distal radius fractures. Methods We performed a systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines of all level I and II randomized controlled trials (RCTs) of distal radius fracture treatment of any modality for those older than 50 years of age from January 2008 to January 2018. A total of 23 studies were included in the final analysis. The metrics used by each study to assess outcomes were collected, compared, and described. Results Physical examination findings and radiographic measures were reported in 70% and 74% of studies, respectively. Patient-reported outcomes measures were used to assess outcomes in 74% of studies. Only the Disabilities of the Arm, Shoulder, and Hand was used in greater than half of the studies (57%). Pain scores were assessed in 39% of studies and complications in only 26%. Conclusions There is substantial heterogeneity and lack of standardization in the collection of both objective outcome measures and PROMs in level I and II RCTs for the treatment of distal radius fractures. The ability to compare between studies or aggregate data among studies is therefore limited. Radiographic and physical examination findings remain frequently reported despite known limitations of these metrics. The routine collection of PROMs after the treatment of distal radius fractures can ensure care is directed toward improving what is most important to patients.
One-year stability of preseason Sport Concussion Assessment Tool 5 (SCAT5) values in university level collision and combative sport athletes

ABSTRACT Objectives To determine the stability of the Sport Concussion Assessment Tool (SCAT) 5 between consecutive seasons in uninjured collision and combative varsity athletes. Methods Thirty-six athletes (19 females) were recruited to participate (wrestling [n = 12], rugby [n = 14], and hockey [n = 10]). The SCAT5 was administration at the start of the 2017 and 2018 seasons. Median baseline demographics for 2017 were as follows: age (19 years [range: 17–24 years]), height (174 cm [range: 149–195 cm]), and weight (76 kg [range: 57–118 kg]). Outcome metrics included subcomponents of the SCAT5: symptom reporting, standardized assessment of concussion (SAC), neurological screening, and balance performance measured with the modified balance error scoring system (mBESS). Wilcoxon signed-rank tests and Cronbach’s alpha (α) values were calculated to determine the stability between consecutive years for the SCAT5 variables in the same cohort of athletes. Bonferroni corrections were applied for Wilcoxon signed-rank tests, where alpha = 0.006 (0.05/9). Results Between the 2017 and 2018 seasons, no differences were noted in symptom reporting (p = 0.14), SAC (p = 0.32), neurological screening (p = 0.98), and balance performance on the mBESS (p = 0.01). The Cronbach’s alpha displayed unacceptable to questionable levels of within-subject stability (range: α = 0.34–0.70) for all subcomponents, except months in reverse order (α = 0.92). Conclusions While no statistical differences were present for all SCAT5 subcomponent metrics between 2017 and 2018 baselines, all but one displayed unacceptable to questionable stability (α ≤ 0.70) when retested one year later. Further research is needed to understand the appropriate time duration baseline SCAT5 values can reliably be utilized within longitudinal studies; as well as the normal variation of SCAT5 reporting/scoring.
Acquisition of microbiota according to the type of birth: an integrative review

Objective: to analyze scientific evidence regarding the relationship between the type of birth and the microbiota acquired by newborns. Method: this integrative review addresses the role of the type of delivery on newborns’ microbial colonization. A search was conducted in the Medical Literature Analysis and Retrieval System Online/PubMed and Virtual Health Library databases using the descriptors provided by Medical Subject Headings (MeSH) and Health Science Descriptors (DeCS). Results: infants born vaginally presented a greater concentration of Bacteroides, Bifidobacteria, and Lactobacillus in the first days of life and more significant microbial variability in the following weeks. The microbiome of infants born via C-section is similar to the maternal skin and the hospital setting and less diverse, mainly composed of Staphylococcus, Streptococcus, and Clostridium. Conclusion: the maternal vaginal microbiota provides newborns with a greater variety of colonizing microorganisms responsible for boosting and preparing the immune system. Vaginal birth is the ideal birth route, and C-sections should only be performed when there are medical indications.
Indian Psychology: Retrospect and Future challenges

The paper attempts to trace the development of psychology as a discipline in India and in this process, it also attempts to focus on the vast potential of issues leading to the development of indigenous psychology in India. The authors have attempted to analyze different concerns studied by Indian Psychologists drawn from different sources, which reflect the concerns of Indian Psychology. Using this as a base, it has been pleaded that there are very many sources in the rich culture and indigenous literature, which still needs to be exploited in order to enrich Indian Psychology, which is a great challenge to
Spatial Modeling and Prediction under Range Anisotropy

For modeling spatial processes, we introduce a rich class of range anisotropic covariance structures which greatly increases the scope of variogram contours and includes geometric anisotropy and isotropy as special cases. Spatial aspects can also be captured using geographical covariates to create a trend surface. We adopt a Bayesian perspective to study models involving both trend surface and range anisotropic covariance parameters, tting these models using sampling-based methods. We analyze a data set of scallop catches and withhold ten sites to compare the accuracy and precision of a noiseless version of the predictive distribution for two such parametric models. We also estimate the detrended variogram and, for a particular subregion of interest, predict locally and globally on the original scale of the data.
GOOGLE TRANSLATE’S QUALITY IN TRANSLATING AN ENGLISH LITERARY TEXT INTO INDONESIAN PERFORMED IN 2017 AND 2019: A DIACHRONIC STUDY

The rapid development of technology, especially in translation machine, has brought a sizable amount of changes in terms of how human beings handle translation tasks, such as the time allocated for finishing a translation project, the role of translators as perceived by clients, the diminishing profession as a translator and many more. However, for translating a certain text type, namely literary text, the translation machines are still facing considerable obstacles. This is due to fact that literary texts have some unique characteristics irreplaceable by the machines. Nevertheless, as technology is developing, the translation result of literary texts performed in the past might have been different as of now. Therefore, it is interesting to see how translation machines are changing whether it is from good to better or vice versa. This paper attempts to measure the performance of Google Translate (GT) in translating a short story, “Cat in the Rain” by Ernest Hemingway, seen from two different period of time, 2017 and 2019. The 2017 translation result from Ariany’s paper (2017) is compared to the one taken in 2019. The comparison focuses on measuring the translation quality of GT by applying Koponen’s theory, which categorizes the errors’ occurrence in GT translation results obtained in 2017 and 2019. The method applied in this study was explicatory, which “entails a careful, close, and focused examination of a single major text, or of evidence surrounding a single complex event, in an attempt to understand one or more aspects of it” (George, 2008, p.5). This research is a diachronic study which investigates the GT development from 2017 to 2019 in translating a literary text. The primary data were collected in October 2019, while the secondary data were taken from Ariany’s study. The result confirms the belief that the translation machine develops and shows improvement in literary text translations.
Battery Cooling Simulation using STAR-CCM+

A generic Li-ion battery pack as typically used in an electric vehicle is simulated in STAR-CCM+, using an analytical model for the electrochemical battery behavior and a thermal/flow simulation with conjugate heat transfer to determine the cooling efficiency. A single Li-ion battery cell is modeled in Battery Design Studio. This model is then used in the Battery Simulation Module of STAR-CCM+, which allows to embed the cell within an electric circuit and to put it under a prescribed load. The battery model then calculates the heat development in the cell based on the load and the electrochemical model. This heat is applied as a distributed heat source in the fluid simulation, which can then be used to investigate and optimize the cooling efficiency.
RELATIONSHIP BETWEEN QUANTUM GRAVITY AND GENERAL RELATIVITY IN PHYSICS

General relativity is only one of the pillars of modern physics. The other is quantum mechanics, which describes what happens at the atomic and subatomic scale. Its cutting edge manifestation, quantum field hypothesis, has been tremendously fruitful at depicting and foreseeing the conduct of crucial particles and powers. The fundamental test currently is to join the two thoughts into one general hypothesis, to be known as quantum gravity. Such a hypothesis would be pivotal for clarifying the principal snapshots of the enormous detonation, when the universe was thick, hot and little, or what occurs close to the peculiarity at the centers of dark gaps, where the impacts of quantum material science may contend with those of general relativity.
Centrum Voor Wiskunde En Informatica an Omega-complete Equational Specification of Interleaving an !-complete Equational Speciication of Interleaving

We consider the process theory PA that includes an operation for parallel composition, based on the interleaving paradigm. We prove that the standard set of axioms of PA is not ! -complete by providing a set of axioms that are valid in PA, but not derivable from the standard ones. We prove that extending PA with this set yields an ! -complete speciication, which is nite in a setting with nitely many actions.
International Journal of Recent Trends in Engineering , Vol 2 , No . 2 , November 2009 48 Evaluation of Unified Relationship Matrix based Realistic Mobility Model for MANET Gunasekaran

In order to thoroughly simulate the MANET, the movements of the mobile nodes should be predicted more close to real world movements. Since the limitation of real traces in the public domain, synthetic based mobility models are widely used in MANET mobility management and the most widely used models are very simplistic. Movement of mobile nodes are strongly affected by the need of humans to socialize or cooperate because most of the nodes are directly or indirectly handled by human beings so the mobility model based on social network theory predicts the node movements more realistic. Major challenges of these models are identifying the community and predicting the behavior of each node and each community. Our mobility model overcomes these challenges by using Unified Relationship Matrix concept, which helps to represent the relationships of inter and intra type of mobile nodes among the various community groups with in the given terrain. This paper gives the details of implementation and evaluates the important properties of the generated networks.
Versatile Procedure for Synthesis of Janus-Type Carbon Tubes

A bulk procedure based on bipolar electrochemistry is proposed for the generation of Janus-type carbon tubes. The concept is illustrated with carbon tubes that are selectively modified at their ends with various metals and conducting polymers. No surface or interface is required to break the symmetry and therefore this approach could be used for the mass production of Janus micro- and nano-objects. We show evidence that the technique is very versatile, allowing the choice of the kind of material that is deposited and whether the end product is mono- or bifunctionalized.
Creating and Transforming Markets for Sustainability " Pioneering firms in the process of institutional alignment in the Swedish energy sector

This paper describes how electrical utility firms act as technology advocates and how they strategise in order to change their institutional context. The firms in this paper strategise with the objective to introduce new technologies into an existing system. The reason being that the existing system does not have supporting institutions for those technologies. Swedish examples from large power plant investments in wind power, combined heat and power generation based on bio fuels and fossil gas are used to illustrate how different strategies are applied and how the new institutional environment is shaped. Success factors for creating such an environment are elaborated on.
Data Warehouse and Mining Tools and Technology in Medical Science

The amount of data in electronic and real world is constantly on the rise. Therefore, extracting useful knowledge from the total available data is very important and time consuming task. Data mining has various techniques for extracting valuable information or knowledge from data. These techniques are applicable for all data that are collected inall fields of science. Several research investigations are published about applications of data mining in various fields of sciences such as defense, banking, insurances, education, telecommunications, medicine and etc. This investigation attempts to provide a comprehensive survey about applications of data mining techniques in breast cancer diagnosis, treatment & prognosis till now. Further, the main challenges in these area is presented in this investigation. Since several research studies currently are going on in this issues, therefore, it is necessary to have a complete survey about all researches which are completed up to now, along with the results of those studies and important challenges which are currently exist in this area for helping young researchers and presenting to them the main problems that are still exist in this area. In this study we have conclude the techniques , breast cancer and Chronic and kidney Disease. The present study is focused on the usage of classification techniques in the field of medical science and bioinformatics. The goal of data mining application is to turn that data are facts, numbers, or text which can be processed by a computer into knowledge or information. The main purpose of data mining application in healthcare systems is to develop an automated tool for identifying and disseminating relevant healthcare information. Breast cancer is one of the leading cancers for women in developed countries including India. It is the second most common cause of cancer death in women. The high incidence of breast cancer in women has increased significantly in the last years.Chronic-Kidney-Disease prediction using weka data mining tool and its usage for classification in the field of medical bioinformatics. It firstly classifies dataset and then determines which algorithm performs better for diagnosis and prediction of Chronic-Kidney-Disease.
Genetic Algorithm Approach to Optimize Biodiesel Production by Ultrasonic System

Abstract Ultrasonic processing is an effective tool to attain required mixing while providing the necessary activation energy in the field of biofuels. In this regard, optimization of fast transesterification of waste cooking oil is very important. The goal of this research paper is therefore to determine the effect of important parameters such as methanol to oil molar ratio, catalyst concentration (potassium hydroxide), temperature, and horn position on oil conversion to methyl ester in ultrasonic mixing method. Result of experiments showed that the optimum conditions for the transesterification process have been obtained as molar ratio of alcohol to oil as 6:1, catalyst concentration of 1 wt. %, temperature as 45°C, and horn position at the interface of methanol to oil. The results show that the ultrasonic method decreases the reaction time as much as up to eight times compare to the conventional stirring. For practically evaluating the theoretical optimum point using genetic algorithm, the obtained values were verified experimentally. In order to perform this, the catalyst concentration, temperature, and the time of reaction were determined, and the values are 1%, 48°C, and 449s, respectively. For the obtained values, the biodiesel conversion was 93.2%, so that the experimental optimum value is closed to that of the theoretical values. As a result, experimental data confirmed the obtained values from optimization method in this research work.
Two Baseband Logarithmic Amplifier Designs Using Parallel Feedback Amplifier Cells

In this work, parallel feedback amplifiers (PFAs) are presented as a means of generating ultra broadband logarithmic amplifiers. The low frequency gain equations and an AC model of PFAs are given. A circuit is presented for automatic, on-chip DC offset error reduction. In addition, circuits for achieving temperature and process stable, high power, low noise logarithmic amplifiers are described. The performance simulations of a DC 7.5 GHz logarithmic amplifier are described. The circuit has been submitted for fabrication in a 47 GHz ft silicon germanium BiCMOS process. The integrated circuit occupies 2 mm, consumes 667 mW of power from a -3.3 V supply, has 42 dB of logarithmic dynamic range, 50 ps rise/fall times, and a 12 mV/dB single ended logarithmic slope.
Complexity in Manager-Subordinate Communication Improving Media Richness Theory : A Study of Interaction Goals , Message Valence , and Task

can be found at: Management Communication Quarterly Additional services and information for http://mcq.sagepub. com/cgi/alerts Email Alerts: http://mcq.sagepub. com/subscriptions Subscriptions: http://www.sagepub. com/journalsReprints.nav Reprints: http://www.sagepub. com/journalsPermissions.nav Permissions: http://mcq.sagepub. com/cgi/content/refs/18/1/76 SAGE Journals Online and HighWire Press platforms): (this article cites 11 articles hosted on the Citations