Miracle-dz/UniFAR-FTUs huggingface dataset:
Cost effective natural treatment against infestation by Tribolium castaneum in stored food products

Introduction: The aim of this study was to test the repurpose of Artemisia annua Linn. dry leaf therapy (ALT) tablets of var. Sanjeevani and Jeevan Raksha for the control of Tribolium castaneum. Methods: 600 mg ALT tablets and 600 mg ALT + PSP (Piper nigrum seed powder) tablets (ALT powder and PSP in 5:1 proportion) were investigated to assess the survival and growth of T. castaneum feeding on wheat flour. Results: The progeny adults were found to be produced with about 57% and 38% less frequency in the jars containing ALT tablet of var. Sanjeevani and Jeevan Raksha, respectively, as compared to the control jars. Similarly, 12% of the insects died in the presence of ALT var. Jeevan Raksha tablet, the mortality was 18% higher in the presence of ALT var. Sanjeevani tablet. Likewise, 24% of the insects died in the presence of ALT var. Jeevan Raksha + PSP tablet, the mortality was 33% higher in the presence of ALT var. Sanjeevani + PSP tablet. The life cycle of T. castaneum was attenuated by var. Jeevan Raksha ALT and its ALT + PSP tablets in such a way that progeny size was reduced by these treatments as compared to control by 36% and 67%, respectively, whereas, var. Sanjeevani ALT and its ALT + PSP tablets reduced progeny size by 49% and 77%, respectively. Conclusion: It was found that var. Sanjeevani ALT + PSP tablets were more effective than other tablets against growth and survival of T. castaneum insect and thus provide a highly effective and low-cost means of controlling T. castaneum infestation on food materials, especially in an Indian household.
Sociodemographic and clinical characteristics of patients admitted to the consultation-liaison psychiatry clinic in a university hospital -

Consultation-liaison psychiatry is an area of psychiatry researching the links between general medicine and psychosocial situations, and deals with the diagnosis, treatment and monitoring of psychiatric disorders and psychosocial problems accompanying physical diseases. The aim of this study is to review the sociodemographic data and treatment approaches for patients admitted to the consultation-liaison psychiatry unit of a university hospital within one year. The sociodemographic and clinical information for patients admitted to the consultation-liaison psychiatry unit of our hospitalÂ’s psychiatry ward from August 2015 to November 2016 were obtained by retrospectively investigating the hospital database and patient files and uploading the information to a structured form. Patients in the psychiatry ward were admitted by transfer with 64.9% from the clinic, 16.2% from the emergency service and 10.8% from other wards. The most common physical disease diagnosis of patients was neurologic diseases for 51.4%, endocrinologic diseases for 16.2% and other disease groups for 21.6%. The incidence of psychiatric diagnoses placed according to DSM-V were identified, in order, as psychotic disorders (18.9%), depressive disorders (16.2%), mental retardation (13.5%), somatic symptom disorders (13.5%), bipolar disorder (10.8%), personality disorders (8.1%), oppositional disorder (5.4%), anxiety disorders (5.4%), impulse control and behavior disorders (5.4%) and neurocognitive disorders (2.7%). A total of 10.8% of patients had suicidal thoughts, with 8.1% passive and 2.7% active. Inpatients admitted to our CLP unit, a high rate of 10.8% was identified to have suicidal thoughts. The association of increased suicide risk with many medical diseases shows the necessity of enquiring about suicidal thoughts for each patient. Cooperation between other clinics and CLP will be helpful in increasing the quality of service and offering a more holistic approach to these patients. It appears there is a need for broader cooperation in the area of consultation liaison. This data is considered to form a basis for future studies.
Minimizing the number of wavelengths in a cluster WDM mesh-based ONoC through application-specific mapping

Wavelength division multiplexing (WDM) mesh-based optical network on chip (ONoC) have recently received considerable attention due to their regular topology and higher throughput. However, available wavelengths are ﬁ nite resources. Thus, to minimize the number of wave-lengths, this letter proposes an e ﬃ cient WDM mesh-based ONoC mapping approach, which is based on a particle swarm optimization algorithm. Experimental results reveal that our proposal has a positive e ﬀ ect in minimizing the number of wavelengths needed compared to random mapping. The tradeo ﬀ between the number of wavelengths and the network size is also investigated, and it is found that increasing the network size can reduce the number of wavelengths needed. Meanwhile, the experiments show that the structure has better network performance and less communication resource utilization.
Paralleling of Diagnostic Endeavor for Control of Mycobacterial Infections and Tuberculosis

Mycobacterial infections and tuberculosis pose global public health threats. High tuberculosis morbidities and mortalities are due to the diagnosis problems among other causes. This chapter describes and compares diverse mycobacterial infections and tuberculosis diagnostic efforts and point-out the direction so as to inform areas of and motivate research toward early, rapid, and accurate diagnosis for effective TB control. We have grouped diagnostic approaches according to the type of sample taken for or organ targeted during diagnosis. The sputum-based methods include smear microscopy, culture, and rat sniffing. Interferon-γ (INF-γ) release assays, transcriptional blood signatures, and proteomic profiling use blood samples while colorimetric sensor array (CSA) and mass spectrometry use urine samples. Patho-physiological methods include tuberculin skin tests (TSTs) and radiography. Chromatography and acoustic wave detection can also be used to diagnose TB from breath. Comparative description of these methods is based on a time frame to diagnosis, accuracy, cost, and convenience. The trend shows that there is a move from time-consuming, slow and narrow-spectrum to quick and broad-spectrum TB diagnostic procedures. The sputum-based and patho-physiological approaches remain conformist while blood-based procedures lead research developments. Absence of single best approach calls for synergistic research combinations that form accurate, rapid, cheap, and convenient package at point-of-care centers.
MMIC based Doherty amplifiers for high-frequency wireless communications

This thesis explores the feasibility of integrating the Doherty power amplifier (PA) technique at frequencies of 10 GHz and above. Doherty circuits in two separate areas are improved by employing two integration techniques. A system-on-chip (SoC) approach is used at 71-76 GHz to improve the efficiency of mm-Wave CMOS Doherty PAs, while a system-on-package (SoP) approach is used at 10 GHz to circumvent the current-handling limitations and high costs of completely integrated high power Doherty PAs. High-frequency device limitations are studied through a specifically developed model to explore their impact on the Doherty performance. From the analysis it is found that the output conductance of active devices is the main cause efficiency of degradation in the Doherty. The SoC implementation is made possible by the successful design of a 70-80 GHz CMOS branch-line coupler. Measurements of the coupler show best reported performance in terms of insertion loss, magnitude imbalance, and phase imbalance. By employing a similar coupler at 71-76 GHz a Doherty SoC is implemented; the Doherty SoC showed a 5.2% back-off efficiency improvement over a balanced amplifier. The high power SoP Doherty is implemented in the final design section of this thesis by integrating a GaN MMIC on an RT/duroid package. Compared to a balanced amplifier, the high power SoP implementation results in twice the back-off power added efficiency.
Singular Value Thresholding Algorithm for Wireless Sensor Network Localization

Wireless Sensor Networks (WSN) are of great current interest in the proliferation of technologies. Since the location of the sensors is one of the most interesting issues in WSN, the process of node localization is crucial for any WSN-based applications. Subsequently, WSN’s node estimation deals with a low-rank matrix which gives rise to the application of the Nuclear Norm Minimization (NNM) method. This paper will focus on the localization of 2-dimensional WSN with objects (obstacles). Recent studies introduce Nuclear Norm Minimization (NNM) for node estimation instead of formulating the rank minimization problem. Common way to tackle this problem is by implementing the Semidefinite Programming (SDP). However, SDP can only handle matrices with a size of less than 100 × 100. Therefore, we introduce the method of Singular Value Thresholding (SVT) which is an iterative algorithm to solve the NNM problem that produces a sequence of matrices { X k , Y k } and executes a soft-thresholding operation on the singular value of the matrix Y k . This algorithm is a user-friendly algorithm which produces a low computational cost with low storage capacity required to give the lowest-rank minimum nuclear norm solution.
Automated techniques for improving the quality of existing test suites

Testing is playing a crucial and fundamental role in modern software development. Although software tests are conceptually simple—they are composed of two primary parts: inputs that are used to execute the program under test and an oracle that is used to verify that the execution induced by the inputs produces the expected results—they are often difficult to write in practice. The software engineering research community provided many techniques that can help developers determine whether they have written effective and efficient tests, including various coverage metrics which have been widely adopted. While they have been proven successful in practice, many followup studies show that there is still a lot to improve for the test quality measurements, including false negatives in alarming the lack of tests and constructive suggestions for improvements. This dissertation focuses on improving the quality of existing test suites based on interpretations on test inputs and test oracles. If a test oracle checks the values which the test developers did not or can not control, it would make the test brittle. I developed a novel technique based on dynamic tainting which can identify the values that can make tests brittle. An empirical study on real-world applications shows that the technique can reveal brittle assertions and the values that cause the brittleness within reasonable cost. I also developed two techniques that can identify insufficiently tested code by interpreting traditional coverage information. One is a new approach based on the concepts of direct coverage and indirect coverage. The other is a new approach to discover incidentally tested code. Both techniques have shown efficiency and effectiveness in the empirical studies on real-world applications.
Prospects of diffusion as a Six-Sigma automation in enhancing continuous improvement of cane juice extraction in Kenya

Abstract Continuous improvement encompasses identification of threats and opportunities, proposal and implementation of the solutions, and lastly monitoring and evaluation of sugar production. Cane juice extraction in Sugar production is achieved through two techniques namely milling tandem or diffuser. In Kenya, out of the 12 sugar industries available, the means of juice extraction in 11 industries is by milling tandems. Only one industries has both diffuser and milling tandems with conventional automation. However, sugar productivity from these industries is 85% which is lower than 92% recommended worldwide. The cost of production of 46,000/MT is twice that of small economy countries like Swaziland and Uganda. This can be attributed to the type of juice extraction technique which will determine the rate of sugar production. It is therefore aimed to assess the impact of a diffuser which employs Six-Sigma automation on the improvement of the production. A case company having both diffusion and milling was selected and operations compared. It was found that 98.5% of sugar extraction from diffuser with 6-σ automation can be achieved compared to 80% in mills and a production rate of 360 T/h compared to 100 T/h in mills. However, extensive cane preparation has to be achieved.
Myoclonus of the Auricular Muscles as the Cause of Objective Tympanophonia

The objective of the present article was to systematize the available data on the etiology, pathogenesis, clinical features, diagnostics and treatment of muscular tympanophonia. The common sourse of muscular tympanophonia is the tremor (myoclonus) of the soft palate or muscles of auditory ossicles. Sometimes this condition can be a consequence of myoclonus of the external ear muscles. Pharmacotherapy of muscular tympanophonia does not invariably result in the favourable outcome. The authors describe a rare observation of objective tympanophonia attributable to myoclonus of
An Adaptive Social Network-Aware Collaborative Filtering Algorithm for Improved Rating Prediction Accuracy

When information from traditional recommender systems is augmented with information about user relationships that social networks store, more successful recommendations can be produced. However, this information regarding user relationships may not always be available, since some users may not consent to the use of their social network information for recommendations or may not have social network accounts at all. Moreover, the rating data (categories and characteristics of products) may be unavailable for a recommender system. In this paper, we present an algorithm that can be applied in any social network-aware recommender system that utilizes the users’ ratings on items and users’ social relations. The proposed algorithm addresses the issues of limited social network information or limited collaborative filtering information for some users by adapting its behavior, taking into account the density and utility of each user’s social network and collaborative filtering neighborhoods. Through this adaptation, the proposed algorithm achieves considerable improvement in rating prediction accuracy. Furthermore, the proposed algorithm can be easily implemented in recommender systems.
Segmentación de placas vehiculares usando Haar-AdaBoost y Clustering

In the Mexican Republic, vial safety systems currently have IP cameras to monitor roads. However, the analysis of monitoring system represents a several problem because it works in a personal human. Through three steps can develop a vision system to generate a record video of the cars that circulate. With artificial intelligence techniques the image of the plate and the car could be extracted from the video of the surveillance cameras, the first step. As a second step, the image must be
Probability learning trajectory: Students’ emerging relational understanding of probability through ratio

Several studies on learning mathematics indicate that students have difficulty in understanding the concept of probability. Students are more likely to be introduced by the use of the formula without involving the concept itself. This underlies the researcher to design a probability learning trajectory in ratio which always starts from concrete to abstract level. The probability learning trajectory explained of student thinking and learning over time about to with concerning set of tasks and activities developed. The probability learning trajectory helped by context problem. This study aims to look at relational understanding ability eighth-grade students in solving the problem of a probability. The method used is design research which describes student learning activities in solving problems using ratio. The data collection technique is done by video recorder, documentation and test question. The instruments are a video that is to see student activities during the study, photos to see the results of student work and work the answer to see student answers to the questions given. The results of the research carried out obtained that students experienced an increase in relational understandingand the gave a good response to in solving the probability questions.
Joint Optimization in Cached-Enabled Heterogeneous Network for Efficient Industrial IoT

In the era of industrial 4.0, industrial Internet of Things (IIoT) has brought essential changes to human society. For IIoT, communication in network can be defined as the basic condition for further development and integrated information exchange. In this way, cached-enabled heterogeneous industrial network is necessary to be optimized. In this paper, we consider the optimal geographical placement of contents in cache-enabled heterogeneous networks to minimize the total missing probability. And the probability represents that typical user cannot find requested file in the nearby base stations (BSs). In contract to existing works which only concern content placement, we jointly optimize content placement at BSs and activation densities of BSs of different tiers subject to the cache size limits and the constraint on the BSs energy consumption cost. In addition, the user distribution in this work is modeled by a homogeneous Poisson Point Process. We prove that the original optimization problem can be transformed to a convex problem. The convexity of the optimization problem allows us to apply the KKT conditions to derive useful analytical results of the optimal solution. Based on this, we propose a low-complexity near-optimal algorithm to find the approximated content placement probabilities. We further extend the optimization to heterogeneous networks with the user distribution modeled by the modified Cluster Process. Extensive simulation results show the superior performance of joint optimization of content placement and BSs activation densities compared to only optimizing content placement.
Ocular and Visual Manifestation of the Alzheimer’s Disease: A Literature Review, Part I: Animal Models and Human Pathology

Context: Theretinaisapartof theCentralNervousSystemthatiseasytostudy. ThevisualdisturbancesarefrequentinAlzheimer’s disease (AD) patients and sometimes, the AD begins with visual symptoms. This paper aims to review the existing literature on the involvement of the eye in the AD. In this ﬁrst part, the animal models and the pathology in humans were examined. Evidence Acquisition: The Medline literature until March 2018 was surveyed. Results: Bothanimalmodelsandpathologicalstudiesinhumansdemonstratetheimpairmentof thevisualsystemintheAD,often in the early stages. Conclusions: A frequent and sometimes early involvement of the visual system was demonstrated but new studies are needed in ordertoinvestigatethedegreeofthevisualimpairmentandintheanimalmodels,theimportanceofthevisualdeﬁcitsinevaluating the cognitive deﬁcits.
Unfavorable Effect of Smoking on the Elastic Properties of the Human Aorta

Background Smoking is a major risk factor for cardiovascular morbidity and mortality. Because previous studies have shown that smoking affects vasomotor response, we hypothesized that smoking may also acutely alter aortic elastic properties. Methods and Results We studied 40 male current and long-term smokers who underwent diagnostic cardiac catheterization for chest-pain evaluation. Twenty subjects (age, 48±2 years, mean±SEM) were randomly assigned to smoking and 20 (age, 47±2 years) to sham smoking studies. Aortic elastic properties were studied with the determination of the aortic pressure-diameter relation before smoking, every minute for the first 5 minutes after the initiation of smoking or sham smoking, and every 5 minutes for the following 15 minutes. Instantaneous diameter of the thoracic aorta was measured with a special ultrasonic dimension catheter developed in our laboratory and previously validated. Instantaneous aortic pressure was measured at the same site as was diameter with a Millar mic.
A Word Embedding Analysis towards Ontology Enrichment

Word Embedding is a set of language modeling and feature learning techniques in Natural Language Processing where words or phrases are mapped to vectors of real numbers. This approach could be used in many tasks of Natural Language Processing, such as Text Classiﬁcation, Part-Of-Speech Tagging, Named Entity Recognition, Sentiment Analysis, and others. In this paper we created diﬀerent Word Embedding models, using TripAdvisor’s hotel reviews. The corpus was pre-processed, in order to reduce noise, and then submitted to four Word Embedding algorithms: Word2Vec, FastText, Wang2Vec, and GloVe. Finally, HOntology concepts and relations are compared with the outputs of models created aiming to improve it, enriching this domain ontology.
New Approach to Orogastric Tube Placement in the Intensive Care Unit and the Emergency Department

Context: Oral endotracheal intubation is commonly used for management of acute respiratory failure in the intensive care unit or emergency department. Placement of an orogastric tube (OGT) usually follows endotracheal intubation. It is often performed blindly by nursing staff and is verified by a combination of several procedures, including radiography, which is the gold standard. Aims: To determine practicality and potential benefits of OGT placement under visualization with a glidescope, for real-time confirmation of OGT placement. Settings and Design: A prospective registry of endotracheal intubations and video glidescope OGT placement was created for the period of January to July 2017 for all intubations by the author and author’s assistant at a community hospital. Methods and Material: The OGT was inserted by the physician or physician assistant immediately after successful endotracheal intubation using glidescope for visualization. Chest radiography was used to confirm placement of both medical devices. We recorded time intervals, number of individuals involved in placement of the OGT, attempts performed and complications observed. Statistical Analysis Used: None. Results: Time between endotracheal intubation and OGT placement with glidescope was <5 minutes, except in two patients. Sixteen patients underwent OGT placement; only one radiograph per patient was performed for confirmation of both endotracheal tube and OGT placement. There were no complications. Conclusions: OGT placement with a glidescope was prompt and safe. This technique provides real-time confirmation of correct OGT placement, and may save critical nursing time. Our approach minimized utilization of chest radiography, thereby reducing radiation exposure and hospital cost.
ASSESSMENT OF CARDIAC FUNCTION IN PATIENTS WITH CHRONIC MYELOID LEUKEMIA TREATED WITH IMATINIB AT THE NATIONAL CENTER OF HEMATOLOGY

Objective: The objective was to study the assessment of the possible cardiotoxic effect of imatinib using echocardiography.Methods: Prospective study included 50 patients that treated at the National Hematology Center of Al-Mustansiriya University from May 2008 to December 2009, echocardiography was used to measure the cardiac ejection fraction accurately, indices of ventricular ejection and relaxation and measurement of left ventricular internal diameter in diastole and (LVIDd) at baseline and after 12 months.Results: 24 (41%) were men and 26 (59%) were women. Their ages ranged from 18 to 74 years, with a median age of 36.8 years. At baseline, mean EF was 0.63±0.057 and after 12 months; mean EF was 0.64±0.068 (p>0.05). Mean peak emptying rate at baseline was 3.23±0.5 ED/s, and after 1 year was 3.21±0.5 ED/s (p>0.05). Time to peak filling rate at baseline was 144±26 ms, and after 1 year was 143±25 ms (p>0.05). There is a significant inverse trend for both LVIDd and LVID in systole (LVIDs) reduced as age increase; the female had significantly lower LVIDd and LVIDs compared to male.Conclusion: We find no evidence of significant impairment in cardiac function over 12 months of imatinib treatment. Advancing age associated with reduced cardiac performance for patients receiving imatinib.