Miracle-dz/UniFAR-FTUs huggingface dataset:
Vanishing Bone: Conquering a Stealth Disease Caused by Total Hip Replacements

In Vanishing Bone: Conquering a Stealth Caused by Total Hip Replacements, the author presents the reader with a socio-medical history of total hip replacement, problems that have occurred with total hip replacements since their inception, and an overview of clinical care in the field of total hip replacement. The book provides a visual and almost verbal perspective of the events that discovered periprosthetic osteolysis, how alternative types of hip replacements were tested and examined, and what steps were taken to implement alternatives both legally and clinically. Periprosthetic osteolysis in total hip replacements is best described as localized bone degeneration or erosion near the prosthetic device. Clinical examples of actual patients are presented as a way to validate the issues being described and to evaluate the utility of findings. Two key strengths emerge from the book. The first is the intersection of clinical practice and research methodology that is demonstrated. The author clearly documents the process of determining an issue within clinical care and transcending this to a thorough research examination of the problem, hypothesizing solutions, and analyzing data. The reader will be able to ascertain the clinical and research utility of the process described for discovering periprosthetic osteolysis and finding an alternative for total hip replacement. The second strength is the book makes evident a thorough examination of a clinical issue and utilizes outside-of-the-box thinking where applicable, whereby setting aside clinical findings or what can be seen. Harris notes that he asked what happened inside the hip when walking when all other questions had been exhausted. His discussion of the resulting byproducts illustrates to the reader the range of alternatives and options that were considered for periprosthetic osteolysis and finding alternatives. Overall, all sides of the process, both good and bad, were discussed; this is appreciated as it examines ethical dilemmas as well as the anxiety that may happen when conducting research. Two weaknesses were seen in the book. First, and foremost, is the limited audience for the book. Rehabilitation professionals, medical students overall, and students within biomedical ethics, history of medicine, social science research, or medical research courses may have a need for a book such as this as it explores the intersection of clinical practice and research. The second weakness is that the book does include medical terminology that not all may be able to figure out. While the book does a good job of limiting this, it is present at times. In summary, Vanishing Bone: Conquering a Stealth Caused by Total Hip Replacements is an interesting read. The processes and practices that were utilized demonstrate an evidence-based approach for the interdisciplinary clinical practice of today.
Collaborative filtering recommendation algorithm based on user behavior and drug semantics

When the traditional collaborative filtering algori- thm is applied to drug recommendation, the recommendation effect is not good due to the sparsity of data. In view of the above problems, this paper proposes a collaborative filtering recommendation algorithm based on user behavior and drug semantics (UBDS-CF). Firstly, we construct the purchasing behavior matrix of users and drugs, and use the weighted cosine similarity to calculate the basic similarity between drugs; then construct the category label matrix of drugs, calculate the category similarity, and extract the feature vector of drug function text using the word vector model; category and main function together constitute the drug semantic information; finally, the above two similarities are integrated in a linear weighted manner to obtain the final similarity of drugs. Experimental results show that the average absolute error and root mean square error of the algorithm are significantly reduced, which proves the effectiveness of the proposed algorithm.
A Reliable and an Efficient Approach for Diagnosis of Brain Tumor Using Transfer Learning

Introduction: The World Brain Tumor Day is seen on eighth June, in a year. Despite exhaustive research in the medical field, the prevalence of this deadly disease is increasing globally with over new 28,000 braintumor cases being reported annually, in India alone. Recent advancements in the field of machine learning facilitate minimally invasive, efficient and reliable procedures for the diagnosis of Brain tumor. Objective: This research intends to design and devlop a reliable framework for accurate diagnosis of brain tumor mainly meningioma type, gliomatype and pituitary cerebrum tumor utilizing Magnetic Resonance Imaging (MRI), one of the most mainstream non-obtrusive procedure Methods: In the proposed system, pre-trained AlexNet is used to classify meningioma, glioma and pituitary brain tumor. The concept of transfer learning is applied using AlexNet for extracting the features from brain MRI images.The AlexNet contains eight layers in which the first five are convolution layer and the remaining three are fully connected layers. The last layer is a softmax layer which gets the output from fully connected layers. The ReLU non-linearity is applied to the output of every convolution and fully connected layer. The idea of transfer learning is applied utilizing AlexNet for computing thefeatures from brain MRI pictures. The AlexNet contains eight layers in which the initial five are convolution layers and the staying three layers are fully connected layers. a softmax is the last layer , which is feeded by the fully connected layers. The ReLUactivation function is applied to the output of convolution layer and fully connectedlayer Result: The proposed system framework recorded the best order precision of 100 % to classify the brain tumor when validated using a practical dataset. Conclusion: The proposed work presents accurate and automatic brain tumor classification using transfer learning. The features extracted using AlexNet has proven to be efficient in obtaining good discriminative power in diagnosis of brain tumor
Cranswickite MgSO4·4H2O, a new mineral from Calingasta, Argentina

Abstract Cranswickite is a newly recognized mineral of composition MgSO4·4H2O from Calingasta, San Juan Province, Argentina (IMA2010-016). Cranswickite is monoclinic, space group C2/c, a = 11.9236(3), b = 5.1736(1), c = 12.1958(3) Å, β = 117.548(2)°, V= 667.0(1) Å3, Z = 4, dobs = 1.917 g/cm3, and dcalc = 1.918 g/cm3. The mineral occurs0 as a soft white vein filling in a metasedimentary rock. The atomic structure has been determined by direct methods and refined by Rietveld analysis of powder diffraction data. The atomic structure consists of chains of corner-sharing magnesium-containing octahedra and sulfate tetrahedra similar to the structure of pentahydrite. All the water molecules directly coordinate magnesium in the structure. The five strongest lines in the powder X-ray diffraction data are [dobs in angstroms (I) (hkl)]: 5.259 (100) (200), 3.927 (46) (112̄), 3.168 (45) (113̄), 4.603 (29) (111̄), 2.570 (23) (311). Infrared and Raman spectra are very similar to the spectra measured from starkeyite. The chemical composition of cranswickite is the same as starkeyite MgSO4·4H2O, but starkeyite has an atomic structure where two sulfate tetrahedra and two Mg(H2O)6 octahedra share corners to form a four-membered ring and not a chain as in cranswickite. The new mineral is named in honor of Lachlan M.D. Cranswick (1968-2010), an Australian crystallographer who helped to developed and maintain the Collaborative Computational Project No. 14 in Powder and Small Molecule Single Crystal Diffraction (CCP14).
GeoLOD: A Spatial Linked Data Catalog and Recommender

The increasing availability of linked data poses new challenges for the identification and retrieval of the most appropriate data sources that meet user needs. Recent dataset catalogs and recommenders provide advanced methods that facilitate linked data search, but none exploits the spatial characteristics of datasets. In this paper, we present GeoLOD, a web catalog of spatial datasets and classes and a recommender for spatial datasets and classes possibly relevant for link discovery processes. GeoLOD Catalog parses, maintains and generates metadata about datasets and classes provided by SPARQL endpoints that contain georeferenced point instances. It offers text and map-based search functionality and dataset descriptions in GeoVoID, a spatial dataset metadata template that extends VoID. GeoLOD Recommender pre-computes and maintains, for all identified spatial classes in the Web of Data (WoD), ranked lists of classes relevant for link discovery. In addition, the on-the-fly Recommender allows users to define an uncatalogued SPARQL endpoint, a GeoJSON or a Shapefile and get class recommendations in real time. Furthermore, generated recommendations can be automatically exported in SILK and LIMES configuration files in order to be used for a link discovery task. In the results, we provide statistics about the status and potential connectivity of spatial datasets in the WoD, we assess the applicability of the recommender, and we present the outcome of a system usability study. GeoLOD is the first catalog that targets both linked data experts and geographic information systems professionals, exploits geographical characteristics of datasets and provides an exhaustive list of WoD spatial datasets and classes along with class recommendations for link discovery.
Low Cost Data Acquisition System for Road-Vehicle Interaction Using Arduino Board

Roads are used to travel and transfer of goods from one place to another using vehicles like passenger cars or goods carriers. Roads may get damaged due to overloading, weather conditions or end of life. Vehicles moving on the road can be used to access the road condition along with other parameters like driving behavior, presence of traffic, vehicle accident detection, vehicle suspension health monitoring etc. To monitor this, vehicle and road interaction could be acquired by fitting accelerometers on the vehicle. 3-axis accelerometers can provide acceleration data for the vertical, longitudinal and lateral axis of the vehicle. GPS coordinates could be recorded using a GPS receiver along with vehicle speed. Data from accelerometers could be used to detect road anomalies like speed bumps and potholes, braking and acceleration events and turning of the vehicle. GPS receiver can be used to collect longitude and latitude coordinates to mark the location of the event along with speed of the vehicle. In this paper we are proposing an Arduino microcontroller board based low cost data acquisition system for road and vehicle interaction that could be used for various purposes like road anomaly detection, driver behavior detection, road traffic detection and detection of vehicle collision.
STUDY OF THE EFFECT OF ADDING LETROZOLE TO GONADOTROPIN-RELEASING HORMONE ANTAGONIST PROTOCOL IN POOR RESPONDERS UNDERGOING INTRACYTOPLASMIC SPERM INJECTION

Background: Poor responders constitute a less fortunate group of patients attending any IVF/ICSI clinic. Identifying these patients helps in choosing the most appropriate stimulation protocol. Aim: This is a randomized controlled prospective study that aimed to study the effect of adding letrozole to GnRH antagonist protocol in poor responders undergoing ICSI. Materials and Methods: This study was carried out on a sample of 70 infertile couple, thirty five patients in each group, five cases were canceled in group I (letrozole/antagonist group), while six patients in group II (antagonist group) canceled the cycle. In group I, letrozole 5mg was given from day 2 cycle for 5 days. Initial dose of HMG 300 I.U from day three cycle, then the dose was modulated according to response in both groups and ICSI was done. The women were followed to detect the occurrence of pregnancy by measuring serum B-hCG 14 day after embryo transfer and clinical pregnancy was followed up at 6th week of gestation. Results: The dose of HMG was significantly lower in group I than in group II, while there were no significant statistical differences in the duration of stimulation, number of oocytes retrieved, fertilization rate, implantation rate, cycle cancelation rate, and clinical pregnancy rate with adding letrozole to GnRH antagonist cycles in women with POR. Conclusion: Letrozole is recommended to be added to ICSI stimulation protocols in poor responders. Although it didn't affect the pregnancy rate, letrozole decreases the dose and the cost of ICSI cycles.
A narrative review of chimeric antigen receptor-T (CAR-T) cell therapy for lung cancer

Lung cancer represents one of the most common and deadliest cancers in the world. Chimeric antigen receptor-T cell (CAR-T) therapy which can recognize antigens in a major histocompatibility complex (MHC)-independent manner provides a new approach for tumor treatment. However, lung cancer, as a solid tumor, faces several formidable barriers to adoptive cell transfer, which includes inhibition of T-cell localization and suppression of T-cell function. Therefore, lung cancer fails to respond significantly to infusions of CAR-T cells in most trials until now. PubMed was researched using the terms “CAR-T” and “lung cancer” only in English from 2000 through June 2020. We also included results presented in international conferences, such as the American Society of Clinical Oncology (ASCO) and the European Society for Medical Oncology (ESMO). Besides, we found new progress in CAR-T therapy for solid tumors as a supplement. To enhance the efficacy and conquer the limitations, we collected some applications in lung cancer. In recent years, there have been some improvements in selecting the proper target and reducing toxicity. CAR-T technology provides an excellent way for tumor treatment, which does not depend on MHC molecules and provides a new method for the utilization of tumor targets. Targeting different antigens and overcoming the solid barrier, there are some improvements in responding significantly and reducing toxicity. CAR-T technology will play a decisive role in the treatment of lung cancer.
World stock market: more sizeable trend reversal likely in February/March 2010

Based on our "finance-prediction-oriented" methodology which involves such elements as log-periodic self-similarity, the universal preferred scaling factor lambda=2, and allows a phenomenon of the "super-bubble" we analyze the 2009 world stock market (here represented by the SP500, Hang Seng and WIG) development. We identify elements that indicate the third decade of September 2009 as a time limit for the present bull market phase which is thus to be followed by a significant correction. In this context we also interpret the Chinese stock market index SSE. The third decade of September 2009 was accompanied with a stock market correction typically within the range of 4-5% worldwide. Taking into account the market patterns that followed the time of delivering the previous scenario we present an updated scenario whose critical time corresponds to October 28, 2009. Assuming quite evident (as of November 12, 2009) termination of the correction due to the above critical time we extend - consistently with our methodology - the stock market forecasting scenario. The corresponding expected SP500 future trend is shown in Fig. 5 and it supports a potential average continuation of increases to as far into the future as the turn of February/March 2010. We also indicate the log-periodic patterns on the gold market and they point to the end of November 2009 as the time when the trend reversal - likely local however - is expected to begin.
The current status and future prospects of kesterite solar cells: a brief review

Kesterite‐based solar cells are attracting considerable attention in recent years, owing to the reduced toxicity and greater abundance of their constituent elements. In this brief review, we discuss the current status of this important technology by focusing on three key aspects of the device: (i) the interface between the kesterite absorber and the Mo back contact, (ii) the kesterite absorber bulk defects and grain boundaries and (iii) the interface between the kesterite absorber and the buffer layer. By identifying key issues to be addressed, we provide suggestions for their potential improvement and future research. Copyright © 2016 John Wiley & Sons, Ltd.
V10 The role of surgical trainees in recruiting to multicentre RCTs: an example from the Sunflower Study

Abstract Background The Sunflower Study aims to compare the effectiveness of expectant management and MRCP prior to laparoscopic cholecystectomy (LC) in patients at low or moderate risk of common bile duct stones. This is the largest surgical randomised controlled trial (RCT) in the UK and a secondary aim is to describe trainees’ contributions. Methods Participants are randomised to receive expectant management or MRCP in a 2:1 ratio. Over 13,500 patients from more than 50 UK hospitals are required over five years. Trainees’ contributions are documented as follows: total number signed up to the study; number enrolled in the NIHR associate PI scheme; and the number of patients approached and recruited. The proportion of ‘emergency’ and ‘elective’ patients recruited was also recorded. Results Sunflower has been open since February 2019 and 48 centres are currently participating. A total of 104 trainees have been actively involved and 34 are/have been enrolled in the associate PI scheme. To date, 3992 patients have been screened, by trainees (n = 719,18%), consultants (n = 439,11%) and research nurses (n = 2214,71%). 1996 patients have been recruited, 359(18%) of which by trainees, 319(16%) consultants and 1318(66%) research nurses. Of the recruited patients, 423 (21%) presented as emergencies, recruited by trainees (n = 169,40%), consultants (n = 59,14%) and research nurses (n = 195,46%). Conclusions Trainees have an important role to play in recruiting patients to multicentre surgical RCTs, in particular in emergency settings, which can help improve studies’ generalisability. The associate PI scheme seems to provide an extra incentive for trainees to be involved in an RCT.
A novel adaptive pseudospectral method for the optimal control problem of automatic car parking

This paper proposes a novel adaptive pseudospectral (NAP) method for solving the time‐energy optimal control model to minimize the parking time and the energy output of the vehicle. The time‐energy optimal control model is first discretized into a nonlinear programming problem at Gauss collocations by the NAP method. Subsequently, we prove the equivalence between the nonlinear programming problem derived from the NAP method and the time‐energy optimal control model problem. Compared to those of the interior point method and the piecewise gauss pseudospectal method, simulation results show that the NAP method has higher computational efficiency and accuracy in solving the time‐energy optimal control model problem.
Photocurrent Extraction Efficiency near Unity in a Thick Polymer Bulk Heterojunction

The detailed characterization of a dialkoxyphenylene‐difluorobenzothiadiazole based conjugated polymer poly[(2,5‐bis(2‐hexyldecyloxy)phenylene)‐alt‐(5,6‐difluoro‐4,7‐di(thiophen‐2‐yl)benzo[c][1,2,5]thiadiazole)] (PPDT2FBT) is reported. PPDT2FBT closely tracks theoretical photocurrent production while maintaining a high fill factor in remarkably thick films. In order to understand the properties that enable PPDT2FBT to function with thick active layers, the effect of film thickness on the material properties and device parameters was carefully studied and compared to three benchmark polymers. Optical modeling, grazing incidence wide angle X‐ray scattering, cross‐sectional transmission electron microscopy, transient photoconductivity, and extensive device work were carried out and have clarified the key structural features and properties that allow such thick active layers to function efficiently. The unique behavior of thick PPDT2FBT films arises from high vertical carrier mobility, an isotropic morphology with strong, vertical π–π stacking, and a suitable energy band structure. These physical characteristics allow efficient photocurrent extraction, internal quantum efficiencies near 100% and power conversion efficiencies over 9% from exceptionally thick active layers in both conventional and inverted architectures. The ability of PPDT2FBT to function efficiently in thick cells allows devices to fully attenuate incident sunlight while providing a pathway to defect‐free film processing over large areas, constituting a major advancement toward commercially viable organic solar cells.
Relationship between Undernutrition and Periodontal Diseases among a Sample of Yemeni Population: A Cross-Sectional Study

Undernutrition is an inadequate supply of energy and nutrients. Periodontal diseases (PDs) are defined as a broad form of chronic inflammatory disease of the gingiva, bone, and ligaments supporting the teeth. This study aimed to reveal the relationship between undernutrition, using body mass index (BMI) and serum albumin level (Alb), and PDs in a sample of Yemeni population. A cross-sectional study was conducted at dental teaching clinics at the Faculty of Dentistry, Sana'a University. Of 1920 patients who attended clinics, only 229 matched the study criteria. Oral examination was performed to assess the periodontal clinical parameter measurements. BMI and Alb were measured. Participants of both genders were involved, with a slight increase in males (n = 134, 58.5%), and most of the study sample was in the age group of 18–35 years (n = 209, 91.3%). Regarding habits, only 18.2% (n = 43) of patients were smokers and about half of the participants (n = 136, 59.4%) were khat chewers. Most cases had mild undernutrition according to BMI (n = 139, 60.7%) and normal Alb level (n = 213, 93%). Regarding the periodontal diagnosis, most of the participants were diagnosed with gingivitis (n = 186, 81.2%). BMI and albumin level were nonsignificantly associated with PDs. PDs were statistically significant with the participant's age, gender, level of education, and smoking (P > 0.05). However, BMI, khat chewing, and albumin level were nonsignificant factors of periodontal diseases among Yemeni participants (P > 0.05). In both genders, variables such as age of the patients, smoking, khat chewing, and PDs were nonsignificantly associated with BMI. This study showed that the majority of the participants had been diagnosed with gingivitis, but there was not an association between PDs and undernutrition. This paper is presented on research square URL // https://www.researchsquare. com/article/rs-429796/v1 with DOI 10.21203/rs.3. rs-429796/v1.
The Effectiveness of Crocodile Oil Extract Ointment on the Treatment of Burns in Mice (Mus musculus)

The purpose of this study was to determine the effectiveness of the crocodile oil extract ointment in thetreatment of burns in mice (Mus musculus). The research found that the ointment of crocodile oil extracthas an effect in the healing of burns in mice (Mus musculus), with the best concentration of 30% of thecrocodile oil extract ointment dose. Moreover, the ointment met the standard on the basis of organolepticand homogeneity tests. The ointment of crocodile oil extract with concentrations of 30% and 50% has thehealing activity degree II-A burns in mice (Mus musculus). The best percentage of reductions in averageburns in mice was the ointment with a concentration of 30%. Further study needs to be done in the healingof wound in human skin