bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative study of Glass Type Classification using Machine Learning
Authors:   Habitat School, Ajman, UAE and University of Kerala, India, N Faizal , G Adarsh ,   Department of Computer Science, University of Kerala, India
Published: March 2022

The glass sector is regarded as one of the world's most important. Glass is used in a multitude of scenarios, ranging from water bottles to X-Ray and Gamma Ray shielding. This is a transparent, non-crystalline, amorphous solid. Glass is used in a variety of ways, and investigators should be able to identify which type of glass is present during a crime scene assessment. We'll utilize the internet dataset and machine learning to resolve the greater than disadvantage in order to find out what type of glass it is. Machine learning algorithms such as with the Support Vector Machine (SVM) algorithm, the Random Forest methodology, the logistical Regression algorithm, and the AdaBoost classifier, as well as the Gradient Boosting classifier, will be exploited. Random Forest performed the best in glass classification out of all the computational rules. Flat glass is now available in a variety of specialized shapes for usage in various applications and products. The process of flotation is used to make flat glass. There are, however, many specific procedures that may be used to give it a range of special forms. The trade is able to meet the needs and desires of the automobile, construction, and solar power industries by using this strategy. However every product and application needs a unique glass, for that reason within the industrial world there square measure differing kinds of glass that may create your domestic and industrial life easier.
Growth and Reproductive Performance of Yankasa Ewes Fed Varying Levels of Dietary Premix
Authors: Ramalan S. M , Adama T. Z , Alemede I. C , Tsado D. N , Alabi J. O , Alagbe J. O
Published: March 2022

The purpose of this research was to assess the influence of nutritional premix on the growth and reproductive performance of confined Yankasa ewes. The experiment was designed using a Complete Randomized Design (CRD), in which twenty-five (25) Yankasa lambs were randomly assigned to five (5) treatment groups, each with five animals. The animals were randomly assigned to groups based on their weights and given baseline diets and four amounts of premix produced industrially and locally. Throughout the duration, 1 kilogram of basal feed (5 percent of the ewe's body weight) was supplied daily. Dietary premix was fed to the animals at four inclusion levels (0.25, 0.50, 0.75, and 1) in the morning in a restricted area; the amount of feed supplied and left over was recorded daily. The sheep were weighed at the start of the trial and then regularly afterwards. The study's results indicated that dietary interventions had an influence on final weight, total weight increase, and feed conversion ratio (P0.05). However, the dietary treatments had no significant effect on average daily weight increase, total feed intake, or average daily feed intake (P>0.05). Additionally, the findings indicated that when the amount of premix added to the diet rises, the final and total weight gain increases. The findings of T5 vary considerably from those of T1 and T2, but are statistically equivalent to those of T3 and T4. However, animals fed T5 (14.86) exhibited a higher feed conversion ratio (P0.05) than those fed T2 or T1.
The Concept of Desertification, Its Causes and Effects, and Treatments
Authors: Al-Kulabi Ali Khazaal Jawad
Published: March 2022

Since the United Nations General Assembly passed two resolutions in December 1974, the term "desertification" has become a part of international development discourse: The first is a call to all countries to pay attention to desertification research and work together to explore its causes and find strategies to prevent it. The decision to organize an international conference on desertification in 1977 was the second. From August 29 to September 9, 1977, the conference was held in Nairobi, Kenya. The term "desertification" seems to have taken the place of prior words like "desert encroachment." Perhaps what we witness when desert sand dunes creep over oasis communities and farms and fill them, as well as when sand dunes crawl over paved highways and trains, contributes to this picture. This is a genuine depiction, however it only depicts a small portion of the problem (less than 10%). The word "desertification" refers to the process by which productive land outside of the desert's natural limits deteriorates and loses its capacity to produce (agricultural crops, pastures, timber and fuelwood) and transforms into a desert that resembles a limited resource. Desertification, in other words, impacts productive lands in dry and semi-arid locations, agricultural fields (rain-fed or irrigated), and grazing lands. The degradation begins as little patches that get larger and more like expanding patches until they converge and combine, becoming an arid band that joins the deserts of the surrounding places as it becomes more like them.
EFFECTIVE ALLOCATION OF MANPOWER IN THE PRODUCTION OF PRECAST CONCRETE ELEMENTS WITH THE USE OF METAHEURISTICS
Authors: Podolski Michał
Published: March 2022

Planning problems are particularly important for the production processes of precast reinforced concrete elements. Currently used modeling of these processes is based on the flow shop problem. Flow shop models are usually used in Enterprise Resource Planning systems, which, however, may not take into account the specifics of the production of such elements. The article presents a new model for scheduling the production of reinforced concrete prefabricated elements, which is distinguished by the possibility of carrying out activities by more than one working group. An additional new constraint is the possibility of parallel performance of some works, which may occur during their production. Also, there will be an individual order of elements assumed for each of the activities. New objective functions will be considered – the sum of idle times of working groups and the total type changes of precast components. The presented scheduling model contains an NP-hard discrete optimization problem. For this reason, metaheuristics were used in the article to solve optimization problems: the simulated annealing algorithm and the tabu search algorithm. Verification of the results obtained with the use of these algorithms confirmed their high efficiency. The application of the presented scheduling model illustrates a practical case study showing the effectiveness of the used algorithms.
Modifying the Free Energy in Skye
Authors: Jermyn Adam S. , Timmes F. X.
Published: March 2022

The Skye Equation of State (EOS) is built on top of automatic differentiation machinery. This makes it straightforward to modify, because all the requisite partial derivatives of the Helmholtz free energy are computed automatically via operator overloading. Here we demonstrate this advantage by implementing a new prescription for the anharmonic free energy of a crystalline one-component plasma. Apart from boilerplate and variable declarations, only 7 new lines of code were needed.
The Case for a New Frontiers–Class Uranus Orbiter: System Science at an Underexplored and Unique World with a Mid-scale Mission
Authors: Cohen Ian J. , Beddingfield Chloe , Chancia Robert , DiBraccio Gina , Hedman Matthew , MacKenzie Shannon , Mauk Barry , Sayanagi Kunio M. , Soderlund Krista M. , Turtle Elizabeth , Ahrens Caitlin , Arridge Christopher S. , Brooks Shawn M. , Bunce Emma , Charnoz Sebastien , Coustenis Athena , Dillman Robert A. , Dutta Soumyo , Fletcher Leigh N. , Harbison Rebecca , Helled Ravit , Holme Richard , Jozwiak Lauren , Kasaba Yasumasa , Kollmann Peter , Luszcz-Cook Statia , Mandt Kathleen , Mousis Olivier , Mura Alessandro , Murakami Go , Parisi Marzia , Rymer Abigail , Stanley Sabine , Stephan Katrin , Vervack, Jr. Ronald J. , Wong Michael H. , Wurz Peter
Published: March 2022

Current knowledge of the Uranian system is limited to observations from the flyby of Voyager 2 and limited remote observations. However, Uranus remains a highly compelling scientific target due to the unique properties of many aspects of the planet itself and its system. Future exploration of Uranus must focus on cross-disciplinary science that spans the range of research areas from the planet’s interior, atmosphere, and magnetosphere to the its rings and satellites, as well as the interactions between them. Detailed study of Uranus by an orbiter is crucial not only for valuable insights into the formation and evolution of our solar system but also for providing ground truths for the understanding of exoplanets. As such, exploration of Uranus will not only enhance our understanding of the ice giant planets themselves but also extend to planetary dynamics throughout our solar system and beyond. The timeliness of exploring Uranus is great, as the community hopes to return in time to image unseen portions of the satellites and magnetospheric configurations. This urgency motivates evaluation of what science can be achieved with a lower-cost, potentially faster-turnaround mission, such as a New Frontiers–class orbiter mission. This paper outlines the scientific case for and the technological and design considerations that must be addressed by future studies to enable a New Frontiers–class Uranus orbiter with balanced cross-disciplinary science objectives. In particular, studies that trade scientific scope and instrumentation and operational capabilities against simpler and cheaper options must be fundamental to the mission formulation.
Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers
Authors: Ceballos-Escalera Angelina , Richards John , Arias Maria Belen , Inward Daegan J. G. , Vogler Alfried P.
Published: March 2022

Full taxonomic characterisation of fungal communities is necessary for establishing ecological associations and early detection of pathogens and invasive species. Complex communities of fungi are regularly characterised by metabarcoding using the Internal Transcribed Spacer (ITS) and the Large-Subunit (LSU) gene of the rRNA locus, but reliance on a single short sequence fragment limits the confidence of identification. Here we link metabarcoding from the ITS2 and LSU D1-D2 regions to characterise fungal communities associated with bark beetles (Scolytinae), the likely vectors of several tree pathogens. Both markers revealed similar patterns of overall species richness and response to key variables (beetle species, forest type), but identification against the respective reference databases using various taxonomic classifiers revealed poor resolution towards lower taxonomic levels, especially the species level. Thus, Operational Taxonomic Units (OTUs) could not be linked via taxonomic classifiers across ITS and LSU fragments. However, using phylogenetic trees (focused on the epidemiologically important Sordariomycetes) we placed OTUs obtained with either marker relative to reference sequences of the entire rRNA cistron that includes both loci and demonstrated the largely similar phylogenetic distribution of ITS and LSU-derived OTUs. Sensitivity analysis of congruence in both markers suggested the biologically most defensible threshold values for OTU delimitation in Sordariomycetes to be 98% for ITS2 and 99% for LSU D1-D2. Studies of fungal communities using the canonical ITS barcode require corroboration across additional loci. Phylogenetic analysis of OTU sequences aligned to the full rRNA cistron shows higher success rate and greater accuracy of species identification compared to probabilistic taxonomic classifiers.
Neurocognitive Impairment as a Specifier for the
Diagnostic and Statistical Manual of Mental Disorders
Authors: Pollak Jerrold
Published: March 2022

This article highlights the prominence of neurocognitive impairment across a broad range of mental disorders delineated in the
Diagnostic and Statistical Manual of Mental Disorders,
fifth edition (DSM-5). It outlines the clinical implications of neurocognitive impairment with respect to differential diagnosis, treatment planning, prognosis, and outcome. Several rationales are provided for the inclusion of a specifier for neurocognitive impairment in a DSM-5 text revision. Recommendations are made for the development of such a specifier in the DSM.

[
Psychiatr Ann
. 2022;52(3):126–128.]
Bridging the Gap From a Clinician's Perspective to Patient-Oriented Remission: Focusing on Cognitive Dysfunction in Depression
Authors: Kim Kiwon , Jeon Hong Jin , Suh Seung Wan , Seong Su Jeong , Hwang Jae Yeon
Published: March 2022

Cognitive problems in depression are a major factor affecting functional recovery, improvement of quality of life, therapeutic response, and overall prognosis. Cognitive dysfunction tends to be persistently observed during the active episode of depression and after remission. To achieve functional recovery, cognitive dysfunction is an essential target for depression treatment. To improve cognitive function in treatment of depression, early recognition and assessment with personalized management are necessary. In this review, the importance of cognitive dysfunction in the treatment of depression and potential pathophysiological mechanisms are summarized. The monoamine system, systematic inflammation, and hypothalamic–pituitary–adrenal axis are all related to the pathogenesis of cognitive dysfunction in depression. Clinicians should consider individualized factors that can affect cognitive problem, including age, duration of illness, the number of episodes, previous treatment response, baseline cognitive reservoir, subtype of depression, and presence of childhood trauma. Comorbid physical and psychiatric conditions also need to be evaluated.

[
Psychiatr Ann
. 2022;52(3):95–99.]
Linear stability of exact solutions for the generalized Kaup-Boussinesq equation and their dynamical evolutions
Authors: Gong Ruizhi , Shi Yuren , Wang Deng-Shan
Published: March 2022

The integrability, classification of traveling wave solutions and stability of exact solutions for the generalized Kaup-Boussinesq equation are studied by prolongation structure technique and linear stability analysis. Firstly, it is proved that the generalized Kaup-Boussinesq equation is completely integrable in sense of having Lax pair. Secondly, the complete classification of exact traveling wave solutions of the generalized Kaup-Boussinesq equation are given and a family of exact solutions are proposed. Finally, the stability of these exact solutions are investigated by linear stability analysis and dynamical evolutions, and some stable traveling wave solutions are found. It is shown that the results of linear stability analysis are in excellent agreement with the results from dynamical evolutions.
Aspects of topological approaches for data science
Authors: Grbić Jelena , Wu Jie , Xia Kelin , Wei Guo-Wei
Published: March 2022

We establish a new theory which unifies various aspects of topological approaches for data science, by being applicable both to point cloud data and to graph data, including networks beyond pairwise interactions. We generalize simplicial complexes and hypergraphs to super-hypergraphs and establish super-hypergraph homology as an extension of simplicial homology. Driven by applications, we also introduce super-persistent homology.
Fixed points of non-linear set-valued $ \left(\alpha _{\ast }, \phi _{M}\right) $-contraction mappings and related applications
Authors: Tariq Muhammad ,   Department of Mathematics and Statistics, Internatioal Islamic University, Islamabad, Pakistan, Abbas Mujahid , Hussain Aftab , Arshad Muhammad , Ali Amjad , Al-Sulami Hamid ,   Department of Mathematics GC University Lahore, Pakistan,   Department of Mathematics, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia
Published: March 2022

The aim of this manuscript is to prove some fixed point results for non-linear set-valued maps with new approach of $ \left(\alpha _{\ast }, \phi _{M}\right) $-contraction in complete $ M $-metric space. Also, we prove some fixed point results in ordered $ M $-metric space. As an presented work which are the extension and improves the current study of set-valued mappings. Finally, we also give an non-trivial extensive examples and application to homotopy theory and the existence solution of functional equations to show that our concepts are meaningful and to support our results.
Dynamics of a coupled epileptic network with time delay
Authors: Guan Yulin ,   College of Science, Northeastern University, Shenyang, 110000, China, Zhang Xue
Published: March 2022

Epilepsy is considered as a brain network disease. Epileptic computational models are developed to simulate the electrophysiological process of seizure. Some studies have shown that the epileptic network based on those models can be used to predict the surgical outcome of patients with drug-resistant epilepsy. Most studies focused on the causal relationship between electrophysiological signals of different brain regions and its impact on seizure onset, and there is no knowledge about how time delay of electrophysiological signal transmitted between those regions related to seizure onset. In this study, we proposed an epileptic model with time delay between network nodes, and analyzed whether the time delay between nodes of epileptic network can cause seizure like event. Our results showed that the time delay between nodes may drive the network from normal state to seizure-like event through Hopf bifurcation. The time delay between nodes of epileptic computational network alone may induce seizure-like event. Our analysis suggested that the time delay of electrophysiological signals transmitted between different regions may be an important factor for seizure happening, which provide a deeper understanding of the epilepsy, and a potential new path for epilepsy treatment.
WoT Search Engine based on Multi Agent System: A Conceptual Framework
Authors: Seif Eddine Mili , Rodin Vincent
Published: March 2022

The rising incursions with embed and linked sensors cause the construction of the Internet of Things (IoT). It’s presenting a wide access to the physical world. We support that on head of this data, a Web of Things (WoT) is required. A framework that permits the achievement of programs related to sensors in the IoT. In this paper we present a conceptual model that describes Web of Things Search engine (WoTSE).Our WoTSE is based on artificial multi agent system with a modular architecture, addressing the key challenge of scalable search for rapidly changing content while leveraging existing Web infrastructure. Also, a model for searching in the WoT, namely WoTmAS2E, is proposed and experimentally evaluated using a prototype.
Essential Competence as a Determiner of Learning Media Development in Network-Based on 3D Augmented Reality in the Pre-Teacher Civil Engineering Education Study Program
Authors: Sugandi Machmud , Juharyanto  , Wena Made , Sutrisno
Published: March 2022

The purpose of this study was to determine and apply (1) the Augmented Reality (AR) development process; (2) AR model design; (3) application of AR technology; and (4) the results of AR development that can be used as a support for learning methods in the Building Engineering Education Study Program for the implementation of the 2020 curriculum. Adequate teaching materials are needed so that prospective professional teachers can quickly learn learning materials using the latest learning facilities and meet the demands of 21st-century learning. The main material that must be mastered by prospective professional teachers of the Construction and Housing Engineering Expertise Program include statics, building construction, construction drawings, and construction management. The number of materials contained in each main material requires mapping of essential competencies that must be mastered by prospective professional teacher students as the basic material for learning the Construction and Housing Engineering Expertise Program. The essential competencies that have been identified are used as materials for developing 3D AR-based learning media that can be delivered online so that they can be accessed by students without being limited by the dimensions of space and time. The results of the development of learning media will make it easier for prospective professional teacher students to learn the main content.
Analysis of Physicochemical Natures of Modern Artifacts in MRI
Authors: Tsekhmister Yaroslav , Stepanenko Viktor , Konovalova Tetiana , Tsekhmister Bogdan
Published: March 2022

Magnetic resonance imaging (MRI) is very useful in the medical sector as it uses radio waves and robust magnetic fields to produce images of the inside of the human body. MRIs are so helpful in pathologies. However, artifacts in MRI occur due to the complex nature of MRI. Artifacts in MRI may reduce the examination quality and may also be confused with pathology. Failing to identify artifacts in MRI can bring troubles. Hence, it’s very important to reduce or avoid artifacts in MRI. The major reasons behind artifacts in MRI are improper action of the MRI scanner, magnetic susceptibility, motion, chemical shifts, variation in signal intensity, etc. Due to MRI artifacts, patients can suffer from serious problems. Therefore, we have analyzed the physicochemical natures of artifacts in MRI. The research has made attempts to identify various types of artifacts in MRI and find out the causes of these artifacts. There have been samples of various types of artifacts based on which the analyses have been done. Based on these identifications of artifacts, there have also been discussions and analyses on how to avoid artifacts in MRI.
Comparison of Convolution Neural Network Architecture for Colon Cancer Classification
Authors: Irawati Indrarini Dyah , Andrea Larasaty Ivosierra , Hadiyoso Sugondo
Published: March 2022

In 2021, colon cancer is the second most common cause of death for this type of cancer. Therefore, in this study, a colon cancer classification system was developed to help medical staff classify 2 types of cancer colon adenocarcinomas and benign colonic tissues. The classification method uses the Convolution Neural Network (CNN) with the architecture VGG16, VGG19, ResNet101, ResNet152, MobileNetV2, DenseNet201 and InceptionV3. We used 10.000 image datasets that divided into 7200 training data, 1800 validation data and 1000 test data. Pre-trained models are used to extract new features and training data. The best performance parameter based on accuracy, precision, recall and f1-score and confusion matrix are obtained in 3 architectures, namely VGG19, ResNet101 and ResNet152. These architectures can identify and classify both types of colon cancer with 100% accuracy.
Data Hiding in 3D-Medical Image
Authors: Abdulkadhim Hameedi Balsam , Majeed Laftah Muna , Abbas Hattab Anwar
Published: March 2022

Information hiding strategies have recently gained popularity in a variety of fields. Digital audio, video, and images are increasingly being labelled with distinct but undetectable marks that may contain a hidden copyright notice or serial number, or even directly help to prevent unauthorized duplication. This approach is extended to medical images by hiding secret information in them using the structure of a different file format. The hidden information may be related to the patient. In this paper, a method for hiding secret information in DICOM images is proposed based on Discrete Wavelet Transform (DWT). Firstly. segmented all slices of a 3D-image into a specific block size and collecting the host image depend on a generated key, secondly selected the block number and slice number, thirdly, the low-high band used for embedding after adding the generated number, fourthly, used the Hessenberg transform on the blocks that portioned the band (low-high) in a specific size. The secret information (image or text) is a binary value. It was embedded by setting the positive value in the diagonal to odd values if the embedded is one and setting it to even if the secret bit is zero. Several tests were applied, such as applying mean square error, peak signal to noise ratio PSNR, and structural similarity index measure SSIM. Some analyses such as adding noise, scaling, and rotation analysis are applied to test the efficiency. The results of the tests showed the strength of the proposed method.
Evaluation of the Interference’s Impact of Cooperative Surveillance Systems Signals Processing for Healthcare
Authors: K. Abdul-Hussein Mohammad , Strelnytskyi Oleksii , Obod Ivan , Svyd Iryna , Alrikabi Haider Th.Salim
Published: March 2022

Patient signals produced from a physical device, such as electrocardiography (ECG), which records the electrical activity of the heart, are vulnerable to keep noise due to various physical constraints of acquisition devices. It is critical for the detection and diagnosis of a variety of diseases. An ECG signal should be displayed as clean and clear as feasible due to its relevance in assisting physicians and doctors in making appropriate judgments. ECG is vulnerable to many types of noise because it is an electrical signal. To improve the quality of assistance for consumers Info a surveillance system by cooperative surveillance systems, high-quality data processing by the observed surveillance systems is required, which predetermines the requirement for high noise immunity of the latter. At the same time, the basics of building cooperative surveillance systems as a network of two-channel asynchronous information communication systems which include numeral of transmitting and receiving process using diverse frequency limits for reception and transmission, failure-prone open single-channel queuing systems, and request signals do not allow to provide the required the noise resistance of the systems under consideration. This paper first gives a characterization of request and interference signal flows in cooperative surveillance systems and briefly examines the features of request signals and their effect on the immunity of cooperative surveillance systems. Then, it calculates the noise resistance of the demand signals of the cooperative surveillance systems for the probabilities of errors: signal skipping; First- and second-degree false alarms in the case of unrelated events, unintended and intra-system impulse interferences in the request channel
Psychometric Properties of the Maslach Burnout Inventory Adaptation and Validation among Moroccan Mathematics Teachers
Authors: Douelfiqar Ikram , El Madhi Youssef , El Faylali Hanan
Published: March 2022

the teaching profession is particularly vulnerable to the development of stress and burnout syndrome, this research is used to adapt the Maslach Burnout Inventory (MBI) to members of middle and high schools in Morocco.  This study aims to evaluate the psychometric properties of Maslach Burnout Inventory (MBI) in terms of validity, reliability, and sensitivity. The sample consists of 218 mathematics teachers, working in public schools in the Marrakech-Safi region (Morocco). The psychometric properties were examined by the following analyses: confirmative factor analysis (CFA) to test the validity of theStatistical model, Reliability (Cronbach's alpha), exploratory factor analysis (EFA) to extract factors and complete dimensionality. Cronbach's  reliability analysis gives a value of (0.814), Principal component analysis with varimaxRotation gives three factors and explain 54.22% of the total variance. The three dimensions give values well above the accepted minimum reliability threshold namely (0.847) for emotional exhaustion (0.766) for depersonalization and (0.720) for a sense of personal accomplishment. The overall adjustment of the model and very satisfactory, which affects the (0.71). The results indicate that the main psychometric properties of reliability and validity of the theoretical model of MBI appear to be satisfactory for the study of burnout syndrome in the cultural context of Moroccan teachers.
Large-Scale Assessment of Rapid Monitoring Methods for Estimating Moist-Soil Seed Production
Authors: Martin B. Cody , Hagy Heath M. , Askren Ryan J. , Osborne Douglas C.
Published: March 2022

Federal, state, and private entities manage seasonal flooded, shallow wetlands to provide food and other habitat resources for wetland-dependent migratory birds, including migrating and wintering waterfowl. Individual National Wildlife Refuges managed by the U.S. Fish and Wildlife Service annually monitor seed production in moist-soil wetlands to track performance relative to regional foraging habitat objectives and to evaluate local habitat management activities. The National Wildlife Refuge System does not currently have a standard sampling protocol, and thus seeks a reliable rapid assessment method for estimating seed production to achieve standardized estimates and to avoid inconsistencies in data collection, metrics used, and usefulness of the monitoring efforts. We compared seed yield estimates derived from a suite of commonly used seed production assessment methods with those from soil core samples across six National Wildlife Refuges in the southeastern United States. The most parsimonious model included only common plant species and a single visual assessment of overall coverage (1–5) and seed quality (1–4) for each moist-soil unit (r2adj = 0.71). Generally, models that included only common plant species and a visual estimate of seed yield for moist-soil wetlands overall had greater support than models that included all plant species and those that included data from subplots (n = 10) nested within moist-soil wetlands. Experience level of observer had a moderate effect on accuracy (r2mar = 0.20) and geographic range increased variation in overall seed yield estimates within moist-soil wetlands. Notably, we found that similar indices developed in different geographic regions performed well across the Southeast, but a widely used index based on estimates of seed yield for individual plant species performed poorly in this study. Standardizing the use of a single, efficient, and reliable method to estimate seed abundance in moist-soil wetlands will provide wetland mangers the ability to consistently estimate performance relative to objectives, evaluate management actions, and track trends on National Wildlife Refuges in the southeastern United States.
ACCURATE CLASSIFICATION OF MOTOR UNIT DISCHARGES FROM DYNAMIC SURFACE EMG SIGNALS
Authors: He Jinbao , Luo Zaifei , Hu Qinbo
Published: March 2022

In order to correctly identify the motor unit action potential trains (MUAPTs) in estimated discharges from dynamic surface electromyogram (EMG), an approach for accurate classification of motor unit (MU) discharges is presented. First, the estimated discharges are obtained manually, then the estimated discharges are classified as MUAPTs based on the MU location, which combines the MU depth with the MU plane position. During verification in dynamic muscle contractions, the advanced tripole model is introduced. At SNRs of 10, 20 and 30[Formula: see text]dB, the MUAPTs were identified with true positive rate (TPR) of 91.1[Formula: see text]5.5%, 95.2[Formula: see text]3.7% and 96.1[Formula: see text]2.9%. The results also show that the MU location can be used as a simple method for identifying MUAPT from estimated discharges and selecting reliably decomposed discharges. The newly introduced method is a robust and reliable indicator of MUAPT identification accuracy.
CALCIFICATION CLUSTERS AND LESIONS ANALYSIS IN MAMMOGRAM USING MULTI-ARCHITECTURE DEEP LEARNING ALGORITHMS
Authors: Tsai Hao-Hung , Wei Chia-Shin , Hsieh Ya-Chu , Chen I-Miao , Yeh Pin-Yu , Shih Darren , Chin Chiun-Li
Published: March 2022

Today, radiologists observe a mammogram to determine whether breast tissue is normal. However, calcifications on the mammogram are so small that sometimes radiologists cannot locate them without a magnified observation to make a judgment. If clusters formed by malignant calcifications are found, the patient should undergo a needle localization surgical biopsy to determine whether the calcification cluster is benign or malignant. However, a needle localization surgical biopsy is an invasive examination. This invasive examination leaves scars, causes pain, and makes the patient feel uncomfortable and unwilling to receive an immediate biopsy, resulting in a delay in treatment time. The researcher cooperated with a medical radiologist to analyze calcification clusters and lesions, employing a mammogram using a multi-architecture deep learning algorithm to solve these problems. The features of the location of the cluster and its benign or malignant status are collected from the needle localization surgical biopsy images and medical order and are used as the target training data in this study. This study adopts the steps of a radiologist examination. First, VGG16 is used to locate calcification clusters on the mammogram, and then the Mask R-CNN model is used to find micro-calcifications in the cluster to remove background interference. Finally, an Inception V3 model is used to analyze whether the calcification cluster is benign or malignant. The prediction precision rates of VGG16, Mask R-CNN, and Inception V3 in this study are 93.63%, 99.76%, and 88.89%, respectively, proving that they can effectively assist radiologists and help patients avoid undergoing a needle localization surgical biopsy.
Arrhythmogenic Right Ventricular Cardiomyopathy: Overview and Case Study
Authors: Tennyson Carolina D. , Yapejian Rebecca
Published: March 2022

This article provides a broad overview of arrhythmogenic right ventricular cardiomyopathy, including evaluation, diagnosis, and treatment options. Nursing considerations and clinical management are reviewed through the lens of a case study. Early diagnosis to prevent sudden cardiac death is essential for patients with arrhythmogenic right ventricular cardiomyopathy.
Конечные факторизуемые группы с $\mathbb P$-субнормальными
$\mathrm v$-сверхразрешимыми и $\mathrm{sh}$-сверхразрешимыми сомножителями
Authors: Monakhov Victor Stepanovich
Published: March 2022

Исследуется конечная факторизуемая группа $G=AB$ при условии, что
сомножители $A$ и $B$ можно соединить с $G$ цепью подгрупп с простыми
индексами, а в $A$ и $B$ сверхразрешимыми являются либо все подгруппы
с нильпотентными коммутантами, либо все подгруппы Шмидта. Такие
факторизации охватывают группы, являющиеся произведением нормальных
сверхразрешимых подгрупп, и взаимно перестановочные произведения
сверхразрешимых подгрупп. В частности, из полученных результатов
следует, что в произведениях нормальных сверхразрешимых подгрупп
и взаимно перестановочных произведениях сверхразрешимых подгрупп
все подгруппы Шмидта сверхразрешимы, но может существовать
не сверхразрешимая подгруппа с нильпотентным коммутантом.
Библиография: 8 названий.
Весовая интегрируемость кратных мультипликативных преобразований Фурье
Authors: Volosivets Sergei Sergeevich , Golubov Boris Ivanovich
Published: March 2022

В статье приводятся достаточные условия весовой интегрируемости кратных
мультипликативных преобразований Фурье типа Бернштейна-Саса
с использованием интегральных модулей непрерывности и типа Зигмунда
с дополнительным условием ограниченности $s$-флуктуации. Доказана
неулучшаемость признаков типа Бернштейна-Саса при некоторых ограничениях.
Библиография: 11 названий.
О чебышевском центре и непустоте пересечения вложенных множеств
Authors: Chelidze G Z , Danelia Anna Niazevna , Suladze M Z
Published: March 2022

В работе показано, что если в банаховом пространстве каждое ограниченное
множество имеет чебышевский центр, то в этом пространстве пересечение
вложенных замкнутых ограниченных множеств в случае критического значения
параметра непусто. Этот результат обобщает ранее полученные достаточные
условия о непустоте пересечения в критическом случае. Также дается ответ
на вопрос, поставленный в статье Г. З. Челидзе и П. Л. Папини для банаховых
пространств, которые удовлетворяют условию Опиала для слабой-$*$ топологии.
Библиография: 8 названий.
Best Practices in Establishing Business Case for Implementing Blockchain Solution in Aerospace
Authors: Kumar G. V. V. Ravi , Rencher Robert , Fabre Chris , Budeanu Dragos , Markou Chris , Jones Ken , Rajamani Ravi , Reed Harvey , Bettenhausen David , Lesmerises Alan , Walthall Rhonda , Chidambaran Narayanan , Veluri Sastry
Published: March 2022

The aircraft asset life cycle processes are rapidly being digitalized. Many novel technologies enabled processes of recording these electronic transactions are being emerged. One such technology for recording electronic transactions securely is Blockchain, defined as distributed ledger technologies which includes enterprise blockchain. Blockchain is not widely used in the aerospace industry due to lack of technical understanding and questions about its benefits. Assessment and establishment of business case for implementing blockchain based solution is needed. The aerospace industry is very conservative when it comes to technology adoption and hence it is difficult to change legacy processes. Additionally, the industry is very fragmented. The technology is advancing at a faster rate and applies across geographies under various regulatory oversight which makes blockchain based solution implementation challenging.

G-31 electronic transactions for aerospace standards committee of SAE International has conducted a study on determination of cost benefits from implementing a blockchain solution. This study resulted in development of Aerospace Recommended Practice (ARP) 6984 and was published recently. This recommended practice lays out a methodology for qualifying and quantifying the benefits of replacing or augmenting a legacy process with a blockchain solution. This paper presents summary and overview of this study and provides a teaser for ARP 6984.
Super Flush Torque Controlled Screw
Authors: Brennetot Thomas , Jouhaud Simon
Published: March 2022

Aerodynamic and cosmetic requirements are more and more stringent on new aircraft programs. External aircraft surfaces should ideally be free of any discontinuities and fasteners are usually local points of concern. While pins or lockbolts generally exhibit flush and smooth head surfaces, screws have inherent driving recesses which remain visible after finish paint application. Such screws are typically used in combination with anchor nuts to attach the panels closing thin wing boxes. The AeroDrive™ screw is a global solution to avoid recesses while improving mechanical characteristics of such structural joints. The AeroDrive™ screw features an additional drive head designed to break at a defined torque during installation, leaving a flush and smooth head surface. This paper describes the various benefits brought by this solution beyond the surface finish improvement such as: accurate torque control (±5%), improved head resistance (no recess weak point), no torque limitation due to recess resistance, no cam-out nor push-out issue during installation, and automation options.
Increasing prevalence of obesity and diabetes among patients evaluated for liver transplantation in a Swiss tertiary referral center: a 10-year retrospective analysis
Authors: Kasmi Sophie , Artru Florent , Vieira Barbosa Joana , Rudolf Deibel Ansgar , Favre Lucie , Peuble Claire , Saouli Anne-Catherine , Goossens Nicolas , Müllhaupt Beat , Pascual Manuel , Moradpour Darius , Vionnet Julien , Fraga Montserrat
Published: March 2022

BACKGROUND AND AIMS: Non-alcoholic fatty liver disease (NAFLD) is now the first cause of chronic liver disease in developed countries. We aimed to assess trends in the prevalence of obesity, type 2 diabetes mellitus (T2DM) and NAFLD in patients undergoing liver transplantation evaluation and to assess whether obese patients were less likely to be listed or had an increased drop-out rate after listing.
METHODS: We conducted a retrospective study of all consecutive patients who underwent liver transplantation evaluation at a Swiss tertiary referral centre between January 2009 and March 2020.
RESULTS: A total of 242 patients were included, 83% were male. The median age was 59 years (IQR, 51–64 years). The most common causes of end-stage liver disease were viral hepatitis (28%), alcoholic liver disease (21%) and NAFLD (12%). Obesity was present in 28% of our cohort, with a significant increase over time. Prevalence of type 2 diabetes mellitus followed the same trend (p = 0.02). The proportions of non-listed and listed obese patients did not differ (21% vs. 30% respectively; p = 0.3).
CONCLUSIONS: The prevalence of obesity and type 2 diabetes mellitus significantly increased over our study period. Obese patients had similar chances of being listed. The landscape of liver transplantation indications is shifting towards NAFLD, highlighting the urgent need to prevent NAFLD progression.
Cohort profile: the Swiss Cerebral Palsy Registry (Swiss-CP-Reg) cohort study
Authors: Belle Fabiën N. , Hunziker Sandra , Fluss Joël , Grunt Sebastian , Juenemann Stephanie , Kuenzle Christoph , Meyer-Heim Andreas , Newman Christopher J. , Ramelli Gian Paolo , Weber Peter , Kuehni Claudia E. , Tscherter Anne
Published: March 2022

BACKGROUND: Cerebral Palsy (CP) is a group of permanent disorders of movement and posture that follow injuries to the developing brain. It results in motor dysfunction and a wide variety of comorbidities like epilepsy; pain; speech, hearing and vision disorders; cognitive dysfunction; and eating and digestive difficulties. Central data collection is essential to the study of the epidemiology, clinical presentations, care, and quality of life of patients affected by CP. CP specialists founded the Swiss Cerebral Palsy Registry (Swiss-CP-Reg) in 2017. This paper describes the design, structure, aims and achievements of Swiss-CP-Reg and presents its first results.
METHODS: Swiss-CP-Reg records patients of any age diagnosed with CP who are born, are treated, or live in Switzerland. It collects data from medical records and reports, from questionnaires answered by patients and their families, and from data linkage with routine statistics and other registries. The registry contains information on diagnosis, clinical presentation, comorbidities, therapies, personal information, family history, and quality of life.
RESULTS: From August 2017 to August 2021, 546 participants (55% male, mean age at registration 8 years [interquartile range IQR: 5–12]), were enrolled in Swiss-CP-Reg. Most had been born at term (56%), were less than two years old at diagnosis (73%, median 18 months, IQR: 9–25), and were diagnosed with spastic CP (76%). Most (59%) live with a mild motor impairment (Gross Motor Function Classification System [GMFCS] level I or II), 12% with a moderate motor impairment (GMFCS level III), and 29% with a severe motor impairment (GMFCS level IV or V). In a subset of 170 participants, we measured intelligence quotient (IQ) and saw lower IQs with increasing GMFCS level. Swiss-CP-Reg has a strong interest in research, with four nested projects running currently, and many more planned.
CONCLUSIONS: Swiss-CP-Reg collects and exchanges national data on people living with CP to answer clinically relevant questions. Its structure enables retrospective and prospective data collection and knowledge exchange between experts to optimise and standardise treatment and to improve the health and quality of life of those diagnosed with CP in Switzerland.
ClinicalTrials.gov identifier: NCT04992871
Observational study of suicide in Switzerland: comparison between psychiatric in- and outpatients
Authors: Stauffacher Maurice W. D. , Stiefel Friedrich , Dorogi Yves , Michaud Laurent
Published: March 2022

AIMS OF THE STUDY: In Switzerland, suicide is a major cause of years of potential life lost. Among people who died by suicide, a significant number suffered from mental illness and were treated by psychiatric care institutions. Psychiatric patients are thus a specific target for suicide prevention. Based on data from a clinical committee reviewing every death by suicide of psychiatric patients in the Canton of Vaud (Switzerland), this observational study aimed to gain knowledge on sociodemographic and clinical characteristics of psychiatric patients who died by suicide by comparing in- and outpatients.
METHODS: Sociodemographic and clinical characteristics of patients who died by suicide in our department from January 2007 to December 2019 were analysed. In- and outpatients were compared.
RESULTS: The sample included 153 patients (64.7% males, n = 99). Three quarters (76.4%, n = 81) of the patients had at least one previous suicide attempt. In- and outpatients did not differ significantly in terms of sociodemographics data, psychiatric diagnosis or method of suicide. Almost all (97.2%) of the outpatients had at least one past psychiatric hospitalisation. We found gender disparities for several variables and a lower male/female suicide ratio than in the general Swiss population. Seventy-two percent of the outpatients (n = 49) had a last personal contact with clinicians less than a week before their suicide and 38.8 % of those less than 24 hours (28% of outpatients, n = 19).
CONCLUSIONS: Patients dying by suicide present most of the time a serious psychiatric history. In- and outpatients seem to have a similar clinical and sociodemographic profile and suicide prevention should thus not be addressed differently in these two groups. The time between death of outpatients and last contact with a therapist was shorter than expected.
Depresión en los adultos mayores que viven en el centro geriátrico Guillermina Loor
Authors: Sosa-Arteaga Francisco Javier , Terán-Espinoza Juan Daniel , Sánchez-Rogel Lesly Hugo
Published: March 2022

La depresión es una enfermedad de tipo afectivo que se presenta a menudo en las personas adultas mayores principalmente dentro de los centros geriátricos, la presente investigación se centra en conocer la realidad con base en la depresión con una muestra de 29 adultos mayores que viven en el Geriátrico Guillermina Loor de la ciudad de Portoviejo, 22 adultos mayores cumplieron con los parámetros de inclusión, la herramienta de diagnóstico fue la escala de depresión geriátrica Yesavage, esta evalúa la depresión en 3 niveles, sin depresión, probable depresión y depresión establecida, dicha escala permitió conocer la población que presenta o se encuentran desarrollando depresión y la prevalencia según el género en los adultos mayores, se mencionaron los criterios establecidos por la OMS (Organización mundial de la salud) en cuanto a la depresión, datos estadísticos proporcionados por el MIES de la realidad de los adultos mayores, los resultados fueron que el 50% no indican criterios para ser diagnosticados con este trastorno afectivo según la herramienta aplicada y el otro 50% de ellos si los presentan, teniendo una prevalencia en hombres del 60%, y en mujeres 40%, llegando a la conclusión de que los adultos mayores presentan depresión.

Palabras clave: Adulto Mayor, Depresión, Género, Geriátrico.