Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomous Navigation using Gravity Gradiometer Measurements

The future of deep space exploration depends upon technological advancement towards improving spacecraft’s autonomy and versatility. This study examines the feasibility of orbit determination using gravity gradient measurements, and investigate its potential as a prospective solution for futuristic autonomous orbital navigation. The long term objective of this research is to ascertain specific sensor requirements to meet pre-defined mission navigation error budgets. For this paper, a Monte Carlo simulation based on a simple three degree of freedom environment model and an extended Kalman filter are developed. While the results are low fidelity, they can be used as a guide for more detailed and complete analysis. Traditional inertial navigation (dead reckoning and external aiding) is not considered. Instead, measurements from pairs of advanced, highly sensitive accelerometers (e.g. cold atom accelerometers), on three mutually perpendicular baselines, are used to determine gravity field gradients which are then correlated to onboard gravity maps and used to determine orbital information. This study is repeated for a variety of orbital regimes and initial conditions.
Equity Financing and Economic Growth Nexus in Nigeria

The aim of the study is to examine the reverse causation between equity financing and economic growth in Nigeria. In achieving the objectives of the study, the study made use of secondary data and granger causality test. The study found among other things that economic growth determines two measures of equity financing (ASI and MCAP) while one of the measures of equity financing (MCAP) determine economic growth. The evidence in support of supply-leading hypothesis is weak compared to the demand-following hypothesis. The policy implication of this study is that there is bi-directional causality between equity financing and economic growth in Nigeria. The study recommends among other things that government need to strengthen the supervision of equity financing to ensure economic stability over time as we found reverse causality.
Understanding algorithmic decision-making : Opportunities and challenges

While algorithms are hardly a recent invention, they are nevertheless increasingly involved in systems used to support decision-making in society. These ADS (algorithmic decision systems) often rely on the analysis of large amounts of personal data to infer correlations or, more generally, to derive information deemed useful to make decisions. Human intervention in the decision-making may vary, and may even be completely out of the loop in entirely automated systems. In many situations, the impact of the decision on people can be significant, such as access to credit, employment, medical treatment, judicial sentences, among other things. Entrusting ADS to make or to influence such decisions raises a variety of ethical, political, legal, or technical issues,where great care must be taken to analyse and address them correctly. If they are neglected, the expected benefits of these systems may be negated by the variety of risks for individuals (discrimination, unfair practices, loss of autonomy, etc.), the economy (unfair practices, limited access to markets, etc.) and society as a whole (manipulation, threat to democracy, etc.). The purpose of this policy options briefing is to highlight the main challenges and suggested policy options to allow society to benefit from the tremendous possibilities of ADS while limiting the risks related to their use.
Indomethacin Induced Toxicity : A Biochemical Study in Male Wistar Albino Rats

DOI: 10.21276/sjmps.2018. 4.9. 6 Abstract: Indomethacin is a nonsteroidal anti-inflammatory drug (NSAID) which acts as an analgesic and antipyretic drug. This research work was aimed at demonstrating the effects of oral administration of indomethacin on some biochemical parameters in plasma of male wistar albino rats. Each of the 15 male wistar albino rats in experimental group one was given 2mg/kg of indomethacin capsule daily for two weeks while the other 15 male wistar albino rats in the experimental group two were given 2mg/kg each of indomethacin daily for four weeks. However, the 15 male wistar albino rats in the control group were not administered with indomethacin. Five ml blood specimen was collected from each of the groups into lithium heparinized anticoagulated bottles respectively. The specimen was spun and the plasma obtained was used for the quantitative measurement of aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, urea and creatinine. The results revealed significant elevations (P<0.05) in the mean values of aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, urea and creatinine in the male wistar albino rats administered orally with indomethacin for four weeks as compared to that of the control group. It was further revealed from the result that the mean values of aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, urea and creatinine were not significantly elevated (P>0.05) in the rats administered with indomethacin for two weeks as compared to that of the control group. The elevated levels in the mean values of the rats orally administered with indomethacin for four weeks may suggest damage on their liver and kidney. It is therefore recommended that further histopathological examinations of these organs be carried out in order to ascertain the extent of damage.
Obezite Prevalansı ve Metabolik Risk Faktörleri ile İlişkisi: Tokat İli Prevalans Çalışması

OZET Amac: Obe zi te, cid di sos yal ve psi ko lo jik et ki le riy le tum yas ve sos yo-eko no mik grup la ri il gi len di ren komp leks bir has ta lik tir. Gun cel ca lis ma lar, Turk top lu mun da obe zi te pre ve lan si nin art mak ta ol du gu nu gos ter mek te dir. Ca lis ma miz da, To kat ili kent sel ve kir sal alan la rin da obe zi te pre va lan si ni ve me ta bo lik risk fak tor le riy le ilis ki si ni be lir le mek amac lan mis tir. Ge rec ve Yon tem ler: Bu ca lis ma, il, il ce mer kez le ri ve se ci len koy ler de ya pil mis tir. To kat ilin de ya sa yan 18 yas ve uze rin de ki 530000 ki si yi ifa de ede cek sekil de se ci len 1095 ki si, ca lis ma ya da hil edil di. Ba gim siz de gis ken ola rak; yas, me de ni du rum, ka din lar da oral kon tra sep tif kul la ni mi, sos yo-eko no mik du rum, si ga ra kul la ni mi ve al kol kul la ni mi kay de dil di. Grup I nor mal (be den kit le indek si: BKI ≤ 24.9 kg/m2) olan lar, grup II ki lo lu (BKI 25.0-29.9 kg/m2) ve grup III ise obez (BKI ≥ 30 kg/m2) olan ki si ler den olus tu rul du. Bul gu lar: Ca lis ma ya ali nan 1.095 ki si nin 541’i er kek, 554’u ka din di ve yas or ta la ma si 41.4 ± 17 yil di. BKI’ ye go re %40 (n= 438) nor mal ki lo lu, %36.6 (n= 401) faz la ki lo lu, %23.4 (n =256) obez di. Ka din lar da ki obe zi te pre va lan si %33.6 (n= 186), er kek ler de %12.9 (n= 70) ola rak tes pit edil di. Bel cev re si ne go re san tral obe zi te ora ni ka din lar da %56.2 (n= 309), er kek ler de %15.1 (n= 81) ve tum ka ti lim ci lar da %35.6 (n= 390)’di. Yas grup la ri na go re BKI en yuk sek 40-49 yas gru bun day di. Kir sal ve kent sel bol ge ler de ya sa yan ki si ler ara sin da BKI far ki goz len me di. Glu koz, to tal ko les te rol, trig li se rid, or ta la ma sis to lik ve di yas to lik kan ba sin ci de ger le ri obez ve faz la ki lo lu has ta lar da an lam li ola rak yuk sek ti. So nuc: Bu ca lis ma To kat ili eris kin le rin de obe zi te pre va lan si nin yuk sek ol du gu nu, BKI ile me ta bo lik risk fak tor le ri (hi per tan si yon, ac lik plaz ma glu ko zu ve hi per li pi de mi), ara sin da po zi tif ko re las yon bu lun du gu nu ve bel cev re si ne go re san tral obe zi te ora nin cok da ha yuk sek ol du gu nu gos ter mis tir. Bu ve ri ler, ul ke miz de faz la ki lo lu luk ve obe zi te sik li gi nin art mak ta ol du gu nu ve obe zi tey le ilis ki li me ta bo lik risk fak tor le ri nin mul ti di sip li ner yak la sim la de ger len di ril me si ge rek li li gi ni or ta ya koy mak ta dir.
Profile of interstitial lung diseases in Pakistan, Karachi pulmonology clinics registry data, 2008 - 11

Background & Objective: No published data is available about the status of Interstitial Lung Diseases (ILD) in Pakistan. This study pioneers to determine the incidence and relative frequency of various ILDs in Karachi, its most populous multi-ethnic city. Methods: We reviewed data from a registry catering to 3 pulmonology clinics in different areas of the city. Based on a detailed questionnaire it records age, gender, exposure history, clinical presentation, HRCT and PFT findings mandatorily and BAL/VATS data if available. It prospectively recorded diagnosed ILD cases between Jan 2008 and Dec 2011 and deaths occurring during follow-up. Results: In a total of 5680 pulmonology referrals, the incidence of ILD was 2.3% (n=133) with a mean age of 55.1 years (+12.9 SD), mortality of 22.6% and median survival of 3 years. Idiopathic Pulmonary Fibrosis (IPF) (49.6%), Non Specific Interstitial Pneumonitis (NSIP) (19.5%) and Sarcoidosis (17.3%) were the most frequent ILDs followed by Collagen Vascular Disease Related (5.3%), Drug Induced ILD (4.5%) and Hypersensitivity Pneumonitis (3.8%). Reporting females (n=91) outnumbered males (n=42). The incidence of IPF/NSIP was greater in males (76%) while sarcoidosis and other ILDs occurred more in females (34%). Interestingly, out of 45 IPF diagnosed housewives living in congested areas, 42% had chronic avian exposure due to home breeding / pets. Conclusion: The study establishes for the first time considerable presence of ILD in Pakistani population and describes its salient features. Hopefully this will improve disease awareness and help us expand this registry to other major cities for greater input towards research.
Treating Dementia in Context: A Step-by-Step Guide to Working With Individuals and Families

Dementia is a life-altering diagnosis for patients and loved-ones alike. The progressive disease causes cognitive, emotional, and behavioural changes that can frustrate the efforts of even the most dedicated caregivers. Given the uniquely personal nature of dementia symptoms, treatment can be a supremely challenging experience, even for seasoned health care professionals. In this book, authors Susan McCurry and Claudia Drossel present a clear and practical blueprint for psychologists, physicians, nurses, social workers, and other health care professionals who work with dementia patients and their families. Their evidence-based contextual model of dementia care lays out broad intervention strategies, and encourages readers to use their own creativity and inner resources to develop appropriate solutions for each unique situation and individual. The chapters present a rich variety of vignettes that illustrate common quality-of-life concerns in dementia patients, including medical co-morbidities, patient/caregiver relationships, caregiver burnout, and interactions with health care professionals. Throughout, the authors combine a comprehensive knowledge of the literature with their own extensive clinical experience in advocating a compassionate and open-minded stance that respects the individuality, preferences, and dignity of dementia patients. Health care professionals at all levels of experience, from outpatient to assisted living to residential care settings, will find Treating Dementia in Context an inspirational resource for clinical practice.
The Association Between Daily Fluctuations in Psychological and App-Related Variables and Engagement With an Alcohol Reduction App : A Series of Nof-1 Studies

Background: Previous studies have identified psychological and smartphone app–related predictors of engagement with alcohol reduction apps at a group level. However, strategies to promote engagement need to be effective at the individual level. Evidence as to whether group-level predictors of engagement are also predictive for individuals is lacking. Objective: The aim of this study was to examine whether daily fluctuations in (1) the receipt of a reminder, (2) motivation to reduce alcohol, (3) perceived usefulness of the app, (4) alcohol consumption, and (5) perceived lack of time predicted within-person variability in the frequency and amount of engagement with an alcohol reduction app. Methods: We conducted a series of observational N-of-1 studies. The predictor variables were measured twice daily for 28 days via ecological momentary assessments. The outcome variables were measured through automated recordings of the participants’ app screen views. A total of nine London-based adults who drank alcohol excessively and were willing to set a reduction goal took part. Each participant’s dataset was analyzed separately using generalized additive mixed models to derive incidence rate ratios (IRRs) for the within-person associations of the predictor and outcome variables. Debriefing interviews, analyzed using thematic analysis, were used to contextualize the findings. Results: Predictors of the frequency and amount of engagement differed between individuals, and for the variables 'perceived usefulness of the app' and 'perceived lack of time', the direction of associations also differed between individuals. The most consistent predictors of within-person variability in the frequency of engagement were the receipt of a daily reminder (IRR=1.80-3.88; P<.05) and perceived usefulness of the app (IRR=0.82-1.42; P<.05). The most consistent predictors of within-person variability in the amount of engagement were motivation to reduce alcohol (IRR=1.67-3.45; P<.05) and perceived usefulness of the app (IRR=0.52-137.32; P<.05). Conclusions: The utility of the selected psychological and app-related variables in predicting the frequency and amount of engagement with an alcohol reduction app differed at the individual level. This highlights that key within-person associations may be masked in group-level designs and suggests that different strategies to promote engagement may be required for different individuals. (JMIR Mhealth Uhealth 2019;7(10):e14098) doi: 10.2196/14098
Quickness and velocity in sports movements

Professor Yuri V. Verkhoshansky PhD Is a VlcePresldent of the Department of the International Academy of Information and head of the Centre of Methodological and Theoretical Problems of Sport's Theory of the Russian Research Institute of Sport. Moscow. President of of the International Association of the Theory and Methodology of Training in Elite Sports. At present he is working as an advisor for theory and methodology of training at thc CONI Scuola dello Sport in Rome, Italy. Sports technicians have always paid great attention to speed of movement and locomotion. However, this issue now requires fresh elaboration from the standpoint of both theory and practice. If you ask a coach what is the most important aspect of an athlete's preparalion, answers may vary, but most coaches will immediately indicate speed of movement and locomotion.
Tablet Bilgisayar Kabul Ölçeği - Geçerlik ve Güvenirlik Çalışması

Technology is oftenly used in numerous areas, also including the field of education. Especially the tablet computers (TPC) play an important role in increasing the efficiency and effectiveness of the educational studies. In order for the emergence of the aforementioned effect and the effective use of the TPCs by the students, it is necessary for the students to accept the tablet computers by having a positive behaviour towards them, feeling that they are easy to use and also useful for the learning activities, while also having intentions of using them in the learning activities. In this study, the secondary education students’ acceptance of the TPCs was analyzed by selecting the technology acceptance model as the baseline and developing the Tablet Computer Acceptance Scale. A valid and reliable scale that measured the secondary education students’ acceptance of the TPC emerged as a result of the study.
VM Intelligence for Network Aware Equal Cost Multi Path Routing

Data centers today are experiencing an exponential increase in network traffic, mainly driven by emerging applications such as cloud computing, video streaming, and big data. To accommodate this evergrowing demand, large-scale data centers capable of efficiently load-balancing traffic becomes indispensable. Equal Cost Multi-Path (ECMP) routing is widely deployed in the industry to forward traffic to a single destination over multiple “best paths”. However, it is associated with many problems. One of the major problems associated with ECMP is that, it’s decision making process is oblivious to network anomalies. As a result of this, traditionally ECMP fails to select the optimum next hop. This paper presents a thorough analysis of the different shortcomings of ECMP and introduces a network aware ECMP at the end-host to determine the best next hop. Furthermore, the proposed solution also tackles the problem of route computation in case of link failure or topology changes in the network, thus ensuring dynamic failure detection, avoidance, and isolation at the end host. Finally, the paper presents test results to prove the advantage of algorithm adoption in comparison to traditional ECMP.
Squared Euclidean , Mahalanobis , Kullback-Leibler and L 2 distances are particular cases of Bregman divergences

Clustering with Bregman divergences encompasses a wide family of clustering procedures that are well-suited to mixtures of distributions from exponential families [3]. However these techniques are highly sensitive to noise. To adress the issue of clustering data with possibly adversarial noise, we introduce a robustified version of Bregman clustering based on a trimming approach. We investigate its theoretical properties, showing for instance that our estimator converges at a sub-Gaussian rate 1/ √ n in terms of the sample size n, under mild tail assumptions. We also show that it is robust to a certain amount of noise, stated in terms of Breakdown Point. We also derive a Lloyd-type algorithm with a trimming parameter, along with a heuristic to select this parameter and the number of clusters from sample. Some numerical experimentation assesses the performance of our method on simulated and real datasets.
ResCap: Residual Capsules Network for Medical Image Segmentation

Convolutional neural networks (CNNs) have shown remarkable results for a wide range of task in computer vision. However, CNNs has the limitation of poor translation invariance and lack of information about pose; thus, it requires a lot of data. Capsule networks, however, have the ability to preserve information about the pose. In this paper, we present a capsule-based network for medical image segmentation. We adopt the contracting path of the U-Net architecture. The network achieves the same accuracy as U-Net but is much smaller (0.16% number of parameters compared with U-Net).
Amine Modification of Silica Aerogels/Xerogels for Removal of Relevant Environmental Pollutants

Serious environmental and health problems arise from the everyday release of industrial wastewater effluents. A wide range of pollutants, such as volatile organic compounds, heavy metals or textile dyes, may be efficiently removed by silica materials advanced solutions such as aerogels. This option is related to their exceptional characteristics that favors the adsorption of different contaminants. The aerogels performance can be selectively tuned by an appropriate chemical or physical modification of the aerogel’s surface. Therefore, the introduction of amine groups enhances the affinity between different organic and inorganic contaminants and the silica aerogels. In this work, different case studies are reported to investigate and better understand the role of these functional groups in the adsorption process, since the properties of the synthesized aerogels were significantly affected, regarding their microstructure and surface area. In general, an improvement of the removal efficiency after functionalization of aerogels with amine groups was found, with removal efficiencies higher than 90% for lead and Rubi Levafix CA. To explain the adsorption mechanism, both Langmuir and Freundlich models were applied; chemisorption is most likely the sorption type taking place in the studied cases.
Acciones neurotróficas del factor de crecimiento similar a la insulina de tipo I en el oído interno

Introduccion. La perdida de audicion constituye una de las deficiencias sensoriales invalidantes mas frecuentes en el mundo desarrollado. En la actualidad se estudian diferentes abordajes terapeuticos, entre los que se incluyen el tratamiento con celulas madre, la manipulacion genetica y la proteccion farmacologica. Objetivo. Evaluar el papel del factor de crecimiento similar a la insulina de tipo I (IGF-I) en el desarrollo, el mantenimiento y la reparacion de la funcion auditiva. Desarrollo. El desarrollo del oido interno depende de la adecuada coordinacion de los procesos celulares de proliferacion, diferenciacion, neurogenesis y muerte celular programada, que se encuentran regulados por distintos factores entre los que se encuentra el IGF-I. Durante la embriogenesis del oido interno, este factor se expresa abundantemente y es fundamental para la supervivencia celular y el mantenimiento de los precursores neuronales. El estudio del raton nulo Igf-1? /? ha puesto de manifiesto su importancia en el desarrollo y mantenimiento funcional del oido interno. Los ratones deficientes en este gen presentan alteraciones morfologicas que se corresponden con graves deficiencias funcionales, confirmadas mediante el analisis de los potenciales evocados auditivos de tronco cerebral. El deficit de IGF-I en humanos tambien se acompana de hipoacusia sensorial profunda. Conclusion. En este escenario, se perfila el IGF-I como un factor clave para el desarrollo de la funcion auditiva y un candidato para la terapia regenerativa del oido interno.
Atherosclerosis: How far we have gone?

Autorzy w niniejszej pracy przedstawiają wybrane aspekty patologii miazdzycy oraz ich mechanizmy, ukazując zlozonośc procesu oraz nowe aspekty tego zagadnienia. Miazdzyca jawi sie jako problem przede wszystkim pacjentow (np. z miazdzycą konczyn dolnych), ale rowniez lekarzy, jak i badaczy zajmujących sie tą tematyką. Obserwując doniesienia z ostatnich lat mozna zauwazyc znaczny postep w badaniach dotyczących miazdzycy. Dane te wyraźnie roznią sie od tych otrzymywanych w poprzednich dziesiecioleciach. Obecnie zwraca sie uwage na aspekty, takie jak angiogeneza, czynniki wzrostu, komorki dendrytyczne, zapalenie i/lub zakazenie.
Myo-Ins supplementation in pregnant women with polycystic ovarian syndrome ( PCOS ) 2019

Inositol, an emerging novel therapy for the treatment of gestational diabetes mellitus (GDM), is a cyclic polyol that has insulin-like effects and plays an important role in glucose homeostasis. The conventional treatment of GDM with insulin and oral antihyperglycemic drugs usually comes with side effects, paving the way for and shedding spotlight on clinical trials involving inositol. This review analyzed a host of recent trials that involved inositol supplementation for preventing GDM and their positive outcomes in reducing the rate of GDM among obese and overweight pregnant women, as well as women with polycystic ovarian syndrome (PCOS) or a family history of type 2 diabetes mellitus. Categories: Endocrinology/Diabetes/Metabolism, Family/General Practice, Obstetrics/Gynecology