bluuebunny/crossref_metadata_2025 huggingface dataset:
DEVELOPMENT TENDENCIES OF TROOP MANAGEMENT SYSTEMS WITH SUFFICIENT LEVEL OF USEFULNESS OF INTELLIGENCE INFORMATION FOR CREATING INTERACTIVE THREE-DIMENSIONAL VISUALIZATION OF COMBAT EPISODES
Authors: Varakuta V. , Barkatov I. , Tiurin V. , Farafonov V. , Riapolov Ye.
Published: July 2023

As evidenced by the practice of the russian-ukrainian war, the basis for achieving a successful outcome of hostilities by units and units of the Armed Forces of Ukraine is: early or operative modeling of the scenario (tactics) of future hostilities; their early and reasonable forecasting of material and technical costs, losses among personnel and weapons and military equipment; determination of the material and technical infrastructure of the enemy to the full depth of the tactical and operational construction of his battle orders, which requires a fire impact; manifestation of full initiative in direct contact with the enemy in all types of combat operations. For convenience and objectivity, the process of predicting the actions of the enemy and simulating the actions of one’s troops on the ground in advance or in real time is achieved by visualizing them using programs with 3D technologies. Visualization (computer animation) allows you to depict in detail the terrain (landscape) of the area of future hostilities and contributes to the competent construction of battle orders of units (subunits) of your troops in relation to the location of the enemy up to a tactical unit: a gun, a tank, a soldier, etc. As a result, the process of making an effective decision, determining a sufficient number of forces and means to be used, and choosing a scenario (tactics) of combat operations taking into account a specific situation is simplified. In addition, it is advisable to create a visualization of combat episodes in the area of hostilities that have already taken place in order to professionally analyze the actions of the opposing parties, to identify shortcomings (or positive, useful points) in the actions of our troops or the enemy. In the educational process, the visualization of combat episodes contributes to the acquisition of combat experience, taking it into account in the further actions of the relevant officials of units (units) and subordinate units (units). The results of hostilities depend on the ability of the appropriate control system in the conditions of an extremely complex and highly dynamic network-centric war to ensure the conduct of complex military, aerospace intelligence and the processing of this intelligence with sufficient speed. Level of reliability and usefulness for obtaining effective management information and bringing it to the relevant management bodies (headquarters or decision-making centers) for the purpose of early planning and making informed decisions regarding the combat use of the specified forces and means. Therefore, the study of the specifics of the content of intelligence-management information (IMinf), which enters management systems through interactive three- dimensional visualization of scenarios and combat episodes, and the determination of trends in the development of such systems is extremely relevant.
RESULTS OF THE TESTING OF THE BRDM-2L1(sb) ARMORED RECONNAISSANCE AND SURVEILLANCE VEHICLE WITH A DOUTZ BF4M1013FC DIESEL ENGINE WHILE DRIVING ON TYPICAL SECTIONS OF THE ROAD
Authors: Kozhyn O. , Mokrynskyi O. , Vasylets D.
Published: July 2023

The article analyzes the testing methodology of the BRDM-2L1(sb) armored reconnaissance vehicle with a DOUTZ BF4M1013FC diesel engine, designed to replace the BRDM carbureted vehicles with a gasoline engine currently available in the Armed Forces of Ukraine. They received a new mileage that provides assistance in performing their functions around the clock in zones with different climates. During the tests of the prototype of the BRDM-2L1(sb) armored reconnaissance vehicle with an installed DOUTZ BF4M1013FC engine. The analysis of the test results with the obtained results of parameter measurements showed that when replacing the engine, the reliability of the machine is ensured, on which the performance of combat tasks depends, directly the life of the military, which will have a positive effect on the defense capability of the country. The tests were carried out on the running section of the track, which consisted of sections of the road with an asphalt surface and a soil surface, as well as sections with marshy terrain with a large number of turns, both closed and open, on which there were ridges with a height of 30 m to 150 m and slopes from 12 º to 30 º. At the same time, obtaining the necessary information was ensured with the help of a complete set of control and measuring devices installed. As a result, it was established that the BRDM-2L1(sb) with a DOUTZ BF4M1013FC diesel engine when moving along a typical route, taking into account the varying difficulty of overcoming terrain, has an average speed of 69 kilometers per hour and a fuel consumption of 0.69 liters per 1 kilometer on a mixed-surface route which has much better performance than carbureted BRDM cars with a gasoline engine.
CHALLENGES TODAY IN PROCESS IMPROVEMENT LANGUAGE TRAINING IN THE ARMED FORCES OF UKRAINE
Authors: Sobora A. , Tretiak N. , Oliinyk N.
Published: July 2023

Today’s challenges require Ukrainian servicemen and soldiers of the Armed Forces of Ukraine to be fluent in English, since the instructions for using foreign-made weapons, as well as the process of education and training to use these weapons are carried out in English.

The main goal of this work is to determine promising methods and forms of language training in military structures, both out of the official activities and in the course of independent work.

Today, the ranks of the Armed Forces face two urgent tasks that need to be solved:

the first task is the urgent acquision of the English language by servicemen and senior staff of the Armed Forces of Ukraine for training in the use of foreign-made weapons;

the second task is the improvement and modernization of the English language learning process in Higher Military Educational Institutions in order to increase the level of English language proficiency.

The problem of first training was the insufficient command of the English language by the servicemen of the Armed Forces of Ukraine during the training.

The solution of the second problem is not as critical in time as the solution of the first problem, therefore, currently, various programs, distance courses are being developed, and innovative teaching methods are being implemented in order to improve the improvement process of English language by students of higher educational institutions and officers of the Armed Forces of Ukraine. An important issue on the agenda is the introduction of the latest forms and methods of teaching a foreign language and special techniques and methods of teaching.

Studying a foreign language will provide an opportunity for various branches of the leadership of the Armed Forces of Ukraine to freely and professionally conduct a dialogue with representatives of various professions and partner countries from the NATO military-political alliance.
JUSTIFICATION OF MODERNIZATION PATHS FOR SHORT-RANGE AIR DEFENSE MISSILE SYSTEMS OF LAND FORCES
Authors: Spirin D. , Pohorilyi O. , Shynkarenko O.
Published: July 2023

Modern air defense systems of large, medium, short, and close range are among the most complex types of military equipment. The ability of a country to independently produce modern air defense systems is an indicator of the level of development of its defense industry. Therefore, the development, serial production, and modernization of these systems require a high level of scientific and technological advancement, as well as significant investment in research and development.

During the full-scale invasion of Ukraine by the russian federation, both manned and unmanned aerial attack means were employed by the air and space forces. From the initial moments of the invasion, all components of the air defense encountered the need for the modernization of the existing air defense systems.

The need for the modernization of existing air defense systems in Ukraine is justified by a comparative assessment of their tactical and technical characteristics with similar systems provided by Western partner countries within the framework of material and technical assistance. The modernization of air defense missile systems covering mechanized units will enhance the capability to detect and track targets, thereby increasing the effectiveness of the system in modern combat conditions.

The issue of air defense system modernization has been the subject of numerous publications. These works discuss prospective directions for the development of short-range air defense systems, including the description of new technologies and materials that can be utilized to enhance the functionality and reliability of such systems. The publications focus on various methodological approaches to evaluate options for upgrading weapons and military equipment.
THE METHOD OF SEGMENTATION OF THE IMAGES IN THE REMOTE VIDEO MONITORING SYSTEM BASED ON THE K-MEANS ALGORITHM
Authors: Khudov H. , Misiuk D.
Published: July 2023

The configuration of the video monitoring system, which is widely used in the protection systems of objects and positions of units, is given. Examples of the collision line video monitoring system are given, namely: the video monitoring system of the special monitoring mission of the Organization for Security and Cooperation in Europe and the battalion video surveillance complex. An analysis of known methods of image segmentation in video monitoring systems has been carried out. The analysis showed that these methods do not meet the requirements for the quality of image segmentation in the video monitoring system. The image segmentation method in the remote video monitoring system has been improved, in which, unlike the known ones: the source image is divided into RGB brightness channels; determination of the Euclidean distance between pixels; division of the entire set of image pixels into subsets; recalculation of “centers” of each subset; reassignment of new “centers” of each subset; minimization of total intra-cluster variance. Experimental studies of image segmentation from the remote video monitoring system were conducted. The image from the video monitoring system on the contact line during hostilities during the russian-ukrainian war is used as the source image. The segmentation results of this source image are given. It was established that there is a visual possibility of identifying objects of interest on segmented images. At the same time, it is possible to visually determine the elements of the protective cape only at k=4, while at k=2 and k=3 this possibility is complicated. The directions of further research are the determination of the optimal value of the value k when using the k-means algorithm and the evaluation of the quality of image segmentation in the remote video monitoring system.
SYNTHESIS OF SIGNALS FOR MULTI-FREQUENCY RADAR WITH PARAMETERS DETERMINED BY REAL INTERFERENCE SITUATION
Authors: Riapolov I. , Bodnar S. , Syla I.
Published: July 2023

The synthesis of the probing signal has been carried out, which makes it possible to increase the range of the radar in a real jamming environment. The article assumes that during location a lot of waves re-radiated by inhomogeneities located within the resolving volume of the radar arrive at the receiving point. The length of the paths passable by the waves is different and randomly changes in time so the waves come at the receiving point with a different and randomly changing relative delay time. Optimization of the probing signal parameters of a multi- frequency radar in the presented case has been carried out. The possibility of reducing modulating noise when using multi-frequency signals and rational choice of their parameters is shown. A multi-frequency signal with a rectangular envelope and parameters that provide an increase in the radar detection range is synthesized.
Exploring the “Green”
Authors: Borah Anurag
Published: July 2023

“Green history” in general refers to environmental history that traces the development of human­–nature relationships and patterns of natural resource extraction and mobilization in our past. Needless to say, a concern for the “green” is becoming a fast-developing field of enquiry given the growing incidence of environmental hazards across the world. However, comparatively, in India, environmental history is yet to make much headway. That is why David Arnold and Ramchandra Guha, the pioneers of environmental history in India, have remarked that environmental history in India, and South Asia in general, is under-developed as a discipline. Assam, situated in the north-eastern part of India, has always been known for its rich flora and fauna and diverse biodiversity hot spots. This region shows a great diversity of climate, topography, and geology, which explains the rich biological diversity of this part of the country. But, interestingly enough, very few studies have been undertaken to examine the environmental history of Assam, and most of them are on the colonial period. This paper aims to review particular references to the ecology and environment of pre-colonial Assam that are embedded in the available historical literature.
Determination of Antioxidant and Anticancer Activities of C. Sativa Leaf Extracts on MCF7 Human Breast Cancer Cell Line
Authors: BEYAZYÜZ Fadime , GÜLBAHÇE MUTLU Elif , ALPA Serife , ERBAYRAM Fatma Zehra , TÜRKOĞLU Fatma Nur , KULAÇ Şemsettin
Published: July 2023

Aim: In this study, it was aimed to determine the total phenolic content, flavonoid content, and antioxidant activity of Castanea sativa Mill. (chestnut) leaf extract and their anti-proliferative effect on MCF 7 cell line.
Materials and Methods: It determined antioxidant capacities by using DPPH assay, total phenolic content by using Folin-Ciocaltaeu method and Total flavonoid content by aluminum chloride colorimetric method in the ethanolic extracts of Chesnut leaf. In addition, the anti-proliferative effect of chestnut leaf extract was determined by XTT method in MCF7 breast cell line. The leaf extract used was applied at different concentrations for 24 hours, 48 hours and 72 hours and the results were evaluated with the Graphpad Prism software program.
Results: In this study, it was revealed that the total phenolic contents of ethanolic extracts of chestnut leaf 58,22 mg GAE/g. Total flavonoid content was 64,62 mg QE/g. The DPPH activity of the leaf extract of chestnut was 80.06%. Moreover, findings showed that Chestnut leaf extract had cytotoxic effect against breast cancer cells depends on concentration and time. The 24h, 48h and 72h most effective IC50 dose were 100.1 μL ,193 μL 15.23 μL, respectively.
Conclusion: Chestnut has potential antiproliferative and antioxidant activities in conjunction with its high phenolic and flavonoid content on the MCF-7 cell line. However, more studies are needed.
Gamma Delta T Cells and Organ Transplantation: A Review of Recent Studies
Authors: YEGİN Rumeysa , AHMED Aeisha , HEKİMOĞLU Gulam
Published: July 2023

Gamma delta (γδ) T cells have gained a lot of attention in the field of cancer immunotherapy due to their unique innate and adaptive immune properties. However, until recently, their potential significance in organ transplantation went unnoticed. This review highlights the effector roles and potential advantages of γδ T cells in organ transplantation by examining recent studies examining the connection between T cells and organ transplantation. Recent studies have shown that high γδ T-cell immune reconstitution following organ transplantation is associated with a significantly greater overall survival rate and a lower incidence of acute graft-versus-host disease (GVHD), despite prior studies' contradictory findings. These results suggest that γδ T cells might be a useful addition to the current transplantation procedures. The effector activities of γδ T cells and their putative modes of action following organ transplantation will be covered in this review. We also provide a summary of the most recent research on the connection between γδ T cells and organ transplant outcomes, such as acute GVHD and graft survival. Finally, we point out the areas that still need to be studied in order to fully comprehend how γδ T cells function after organ donation.
Investigation of the Effects of Smartphone Use on the Dominant Thumb and Wrist of University Students
Authors: ALTIPARMAK Anıl , ARPACI Muhammed Furkan , AYDIN Merve , İNCEOĞLU Feyza , PEKMEZ Hıdır
Published: July 2023

Aim: In this study, the effects of the addiction level of smartphone use in university students on the range of motion and proprioception of the dominant hand, wrist range of motion (ROM), and thumb ROM were investigated.
Material and Methods: Wrist and thumb ROMs were measured with a manual goniometer with a sensitivity of 1 degree, and hand grip strength was measured with a hand grip dynamometer in a total of 100 volunteer university students with a mean age of 18-25. Smartphone Addiction Scale-Short Form (SAS-SF) and Patient Rated Wrist and Hand Evaluation (PRWHE) questionnaire were applied to the students. Statistical analyzes were made using the SPSS 25 program.
Results: The students’ usage time of smartphones and addiction levels do not affect the hand grip strength; the increase in smartphone addiction statistically correlates with the right thumb flexion (0.016) and abduction ROMs (0.015), statistically correlated with increased pain level in daily life and statistically correlated with the decrease of the wrist radial deviation ROM (0.009). As the duration of smartphone use increases, the error rate in right thumb abduction proprioception statistically increases (0.027). In addition, we determined the statistically correlations in both thumb flexion and abduction movements.
Conclusion: We determined that the excessive usage of smartphones affects the ROM of thumb flexion and abduction, the ROM of wrist radial deviation, and the proprioception of thumb abduction, and it does not affect the hand grip strength. The findings of our research will be a source for future studies.
HUBUNGAN PENGETAHUAN DAN SIKAP PERAWAT DENGAN PELAKSANAAN KESELAMATAN PASIEN (PATIENT SAFETY) DI RUANG RAWAT INAP BEDAH RUMAH SAKIT
Authors: Muslimin Muslimin , Khasanah Yosi Yusrotul , Hikmat Rokhmatul , Faridasari Ira
Published: July 2023

Pengetahuan dan sikap merupakan hasil dari tahu melalui penginderaan terhadap suatu objek tertentu dan interaksi sosial sehingga terbentuknya tindakan seseorang. Patient safety merupakan suatu sistem dimana rumah sakit membuat asuhan pasien lebih aman. Tujuan Penelitian adalah untuk mengetahui hubungan pengetahuan dan sikap perawat dengan pelaksanaan keselamatan pasien (Patient Safety) di Ruang   Rawat Inap Bedah. Metode penelitian adalah penelitian kuantitatif dengan rancangan cross sectional. Pemilihan sampel dengan total sampling sebanyak 29 responden yang dilakukan pada tanggal 5 Mei – 4 Juni 2022. Data yang diperoleh dianalisis dengan program komputerisasi dengan menggunakan uji chi-square (x2, pada tingkat kemaknaaan 95% (α 0,05). Hasil dari analisis statistik menunjukan hasil bahwa ada hubungan pengetahuan perawat dengan pelaksanaan keselamatan pasien (patient safety) di Ruang Rawat Inap Bedah, p = 0,004 (α0,05). Ada hubungan sikap perawat dengan pelaksanaan keselamatan pasien (Patient Safety) di Ruang Rawat Inap Bedah, p=0,038 (α<0,05).Kata Kunci:. Pengetahuan; Sikap; Pelaksanaan Keselamatan PasienAbstract Knowledge and attitudes are the result of knowing through sensing a particular object and social interaction so that a person's actions are formed. Patient safety is a system where hospitals make patient care safer. The purpose of the study was to determine the relationship between knowledge and attitudes of nurses with the implementation of patient safety in the Surgical Room. The research method is quantitative research with cross sectional design. The sample selection with a total sampling of 29 respondents. The data obtained were analyzed by a computerized program using the chi-square test (x2), at a significance level of 95% (α 0.05). The results of statistical analysis showed that there was a relationship between nurses' knowledge and the implementation of patient safety in the Surgical Inpatient Room, p = 0.004 (α<0.05). There is a relationship between the attitude of nurses and the implementation of patient safety in the Surgical Inpatient Room, p=0.038 (α<0.05).    Keywords: Knowledge; Attitude; Implementation of Patient Safety
NEOMOD: A New Orbital Distribution Model for Near-Earth Objects
Authors: Nesvorný David , Deienno Rogerio , Bottke William F. , Jedicke Robert , Naidu Shantanu , Chesley Steven R. , Chodas Paul W. , Granvik Mikael , Vokrouhlický David , Brož Miroslav , Morbidelli Alessandro , Christensen Eric , Shelly Frank C. , Bolin Bryce T.
Published: July 2023

Near-Earth Objects (NEOs) are a transient population of small bodies with orbits near or in the terrestrial planet region. They represent a mid-stage in the dynamical cycle of asteroids and comets, which starts with their removal from the respective source regions—the main belt and trans-Neptunian scattered disk—and ends as bodies impact planets, disintegrate near the Sun, or are ejected from the solar system. Here we develop a new orbital model of NEOs by numerically integrating asteroid orbits from main-belt sources and calibrating the results on observations of the Catalina Sky Survey. The results imply a size-dependent sampling of the main belt with the ν
6 and 3:1 resonances producing ≃30% of NEOs with absolute magnitudes H = 15 and ≃80% of NEOs with H = 25. Hence, the large and small NEOs have different orbital distributions. The inferred flux of H < 18 bodies into the 3:1 resonance can be sustained only if the main-belt asteroids near the resonance drift toward the resonance at the maximal Yarkovsky rate (≃2 × 10−4 au Myr−1 for diameter D = 1 km and semimajor axis a = 2.5 au). This implies obliquities θ ≃ 0° for a < 2.5 au and θ ≃ 180° for a > 2.5 au, both in the immediate neighborhood of the resonance (the same applies to other resonances as well). We confirm the size-dependent disruption of asteroids near the Sun found in previous studies. An interested researcher can use the publicly available NEOMOD Simulator to generate user-defined samples of NEOs from our model.
New insights into the taxonomy of the Hylaeus xanthostoma complex and further additions to the African Hylaeus fauna (Hymenoptera, Anthophila, Colletidae)
Authors: Dathe Holger H.
Published: July 2023

Within the genus Hylaeus subgenus Deranchylaeus, from sub-Saharan Africa, a distinctive new subgroup of species is established. The females of this subgroup share a striking character: the orange-coloured lower face, previously known only in H. xanthostoma. The inter-specific differences are cryptic in both sexes. Seven species are newly described: Hylaeus (Deranchylaeus) aurantiacussp. nov. ♀♂, H. (D.) burundissp. nov. ♂, H. (D.) lyriformissp. nov. ♂, H. (D.) sambiensissp. nov. ♂, H. (D.) portokaliussp. nov. ♂♀, H. (D.) diastictussp. nov. ♂ and H. (D.) jemeniticussp. nov. ♀. This subgroup also includes H. (D.) promontorii (Meade-Waldo, 1923) and H. (D.) venustus Dathe, 2014, whose females are described for the first time. From Cameroon, the male of a second species of the subgenus Pumilaeus is described as new: H. (Pumilaeus) soukontouaisp. nov. New records of species of the genus Hylaeus F. in sub-Saharan Africa are added and a revised identification key to the subgenus Deranchylaeus is presented, to include the new species.
Effect of Women's Menopausal Complaints and Social Appearance Anxiety on Their Level of Depression, Stress, and Anxiety: A Cross-Sectional Study
Authors: Buran Gonca , Çankaya Seyhan
Published: July 2023

Menopause is a significant time in the life of women, and they may experience social appearance anxiety in addition to their menopausal complaints during this period. This study aimed to determine the effect of women's menopausal complaints and social appearance anxieties on their level of depression, stress, and anxiety. The sample of this cross-sectional study included women (
n
= 305) who applied to the gynecology polyclinic, were between 40 and 65 years old, and had not been menstruating at least for a year. Study data were collected using the following tools: the Menopause Rating Scale (MRS), Social Appearance Anxiety Scale (SAAS), and Depression Anxiety Stress Scale-21 (DASS-21). One unit of increase in the women's total MRS and SAAS scale scores caused 0.597 points of increase in the depression subscale of the DASS-21 scale (
R
2
= 0.135,
F
(3;304) = 150.962;
P
< 0.001). As the menopausal complaints and social appearance concerns of women increase during menopause, their stress, anxiety, and depression levels also increase.

[
Psychiatr Ann
. 2023;53(7):325–332.]
Quality Psychopharmacology: Focus on Women
Authors: Kamis Danielle , Glick Ira D.
Published: July 2023

Mental health is a critical component of overall well-being, yet women face unique challenges when it comes to mental health. Mental illness can present distinctly in women versus men and there are differences of prevalence in specific psychiatric diagnoses as well. The National Institute of Mental Health (NIMH) reports that nearly one in five women in the United States experiences a mental health condition each year. Despite this, women are often underrepresented in clinical trials and may not receive appropriate care for their mental health needs. This article will explore the importance of quality psychopharmacology for women, with a focus on the particular considerations that must be taken into account when treating mental health conditions in women.

[
Psychiatr Ann.
2023;53(7):301–304.]
Principles of High-Quality Pediatric Pharmacotherapy
Authors: Joshi Shashank V. , Glowinski Anne L.
Published: July 2023

This article highlights the importance of attending to the relational aspects of psychopharmacological work with diverse youth and families. While technical and scientific knowledge remain the focus of medical education, the therapeutic skills known as “nonspecific” treatment factors or “common factors” can also be deconstructed, taught, and examined.

[
Psychiatr Ann
. 2023;53(7):298–300.]
Improving Efficiency and Effectiveness of Psychopharmacology Practice: What Must Be Done and What Shouldn't Be Done
Authors: Glick Ira D.
Published: July 2023

As the science and the data underlying psychopharmacology treatments has become roughly equal to the science underlying medical illness, the level of quality care to achieve psychopharmacology clinical competence in practice has become more difficult for clinicians. This article aims to fill the gap in teaching psychopharmacology and raise the quality level by describing the core tasks for prescribing quality clinical psychopharmacology. We describe reasons why the quality is low, the most common clinical practices that are not being done, and most importantly, delineate the necessary elements for initial and ongoing follow-up visits. The goal is an integrated approach incorporating objective, subjective, and relational factors in psychopharmacology practice.

[
Psychiatr Ann
. 2023;53(7):294–297.]
Age estimation algorithm based on deep learning and its application in fall detection
Authors: Yu Jiayi , Tao Ye , Zhang Huan , Wang Zhibiao , Cui Wenhua , Shi Tianwei
Published: July 2023

With the continuous development and progress of society, age estimation based on deep learning has gradually become a key link in human-computer interaction. Widely combined with other fields of application, this paper performs a gradient division of human fall behavior according to the age estimation of the human body, a complete priority detection of the key population, and a phased single aggregation backbone network VoVNetv4 was proposed for feature extraction. At the same time, the regional single aggregation module ROSA module was constructed to encapsulate the feature module regionally. The adaptive stage module was used for feature smoothing. Consistent predictions for each task were made using the CORAL framework as a classifier and tasks were divided in binary. At the same time, a gradient two-node fall detection framework combined with age estimation was designed. The detection was divided into a primary node and a secondary node. In the first-level node, the age estimation algorithm based on VoVNetv4 was used to classify the population of different age groups. A face tracking algorithm was constructed by combining the key point matrices of humans, and the body processed by OpenPose with the central coordinates of the human face. In the secondary node, human age gradient information was used to detect human falls based on the AT-MLP model. The experimental results show that compared with Resnet-34, the MAE value of the proposed method decreased by 0.41. Compared with curriculum learning and the CORAL-CNN method, MAE value decreased by 0.17 relative to the RMSE value. Compared with other methods, the method in this paper was significantly lower, with a biggest drop of 0.51.
Transformation of PET raw data into images for event classification using convolutional neural networks
Authors: Konieczka Paweł , Raczyński Lech , Wiślicki Wojciech , Fedoruk Oleksandr , Klimaszewski Konrad , Kopka Przemysław , Krzemień Wojciech , Shopa Roman Y. , Baran Jakub , Coussat Aurélien , Chug Neha , Curceanu Catalina , Czerwiński Eryk , Dadgar Meysam , Dulski Kamil , Gajos Aleksander , Hiesmayr Beatrix C. , Kacprzak Krzysztof , Kapłon Łukasz , Korcyl Grzegorz , Kozik Tomasz , Kumar Deepak , Niedźwiecki Szymon , Parzych Szymon , Río Elena Pérez del , Sharma Sushil , Shivani Shivani , Skurzok Magdalena , Stępień Ewa Łucja , Tayefi Faranak , Moskal Paweł
Published: July 2023

In positron emission tomography (PET) studies, convolutional neural networks (CNNs) may be applied directly to the reconstructed distribution of radioactive tracers injected into the patient's body, as a pattern recognition tool. Nonetheless, unprocessed PET coincidence data exist in tabular format. This paper develops the transformation of tabular data into $ n $-dimensional matrices, as a preparation stage for classification based on CNNs. This method explicitly introduces a nonlinear transformation at the feature engineering stage and then uses principal component analysis to create the images. We apply the proposed methodology to the classification of simulated PET coincidence events originating from NEMA IEC and anthropomorphic XCAT phantom. Comparative studies of neural network architectures, including multilayer perceptron and convolutional networks, were conducted. The developed method increased the initial number of features from 6 to 209 and gave the best precision results (79.8$ % $) for all tested neural network architectures; it also showed the smallest decrease when changing the test data to another phantom.
Journal update
Authors: Talanow Roland
Published: July 2023

Due to a major journal system update, the journal site might not be accessible for an extended period of time. We apologize for this inconvenience and appreciate your patience.
Fonts per a l’ornamentació vegetal Art Nouveau. Estudi comparatiu París-Barcelona
Authors: López Perez Fàtima
Published: July 2023

Dans cet article nous nous concentrerons sur les matériels utilisés par les artistes Art Nouveau, comme sources d’inspiration pour la création des programmes d’application décorative avec ornementation végétale. Nous effectuerons un tableau comparatif entre deux pôles de référence de l’Art Nouveau européens, Paris et Barcelone. C’est une recherche avec une dimension interdisciplinaire par les aspects artistiques et botaniques.
Identitats en el primer teatre català contemporani (1859-1874)
Authors: Sunyer Magí
Published: July 2023

Cet article analyse quelques définitions de l'identité catalane dans le théâtre de la période 1859-1874 : la mobilité sociale à la suite de l'enrichissement soudain, la migration de la campagne vers la ville et la réflexion de ces phénomènes dans le langage.
Shekou : aux origines des zones économiques spéciales chinoises
Authors: Pairault Thierry
Published: July 2023

Le « modèle de Shekou » est un étendard que brandit une entreprise – la China Merchants – et dont se saisit la propagande chinoise pour vanter le succès de ses zones économiques spéciales (ZES) et les proposer en modèle aux pays en développement. Dans ce texte, nous ne nous intéresserons pas à ce qui a été accompli tant en Chine qu’à l’étranger, mais nous nous interrogeons sur la conception et l’avènement de la zone industrielle de Shekou entre 1977 et 1984 et nous constatons que la naissance des ZES doit plus au hasard et à une volonté générale de réformes qu’à une réflexion de politique économique, partant que Deng Xiaoping a très certainement joué un rôle beaucoup plus limité que ce que l’on rapporte généralement.
Matières à produire l’espace. Une histoire environnementale des grandes infrastructures depuis 1945
Authors: Magalhães Nelo
Published: July 2023

Cette thèse s’intéresse à l’accumulation de stocks de matières, appréhendée comme une production d’espace, en France depuis 1945. Ce processus est étudié au travers d’une histoire environnementale des grandes infrastructures. En examinant leur métabolisme, et en multipliant les points de vue (depuis les sols, les laboratoires, les chantiers ou les carrières), nous montrons que la production d’espace est synonyme de Capitalocène, d’extractivisme, de désencastrement, d’industrialisation, et de valorisation des déchets. Au-delà de nouvelles constructions, elle est une opération de stabilisation, d’entretien, de maintenance et d’extension des espaces produits. Au fil des chapitres, sont mis en évidence l’attention permanente et les importants investissements (monétaires, techniques, cognitifs et logistiques) nécessaires pour surmonter les multiples crises et contestations que cette production engendre. Ainsi, elle requiert un travail idéologique de naturalisation du bâti, une prise en charge et une planification croissante (économique et territoriale) des carrières et des espace-déchets.
Dynamique de l’occupation du sol à la station forestière de l’INÉRA Kiyaka, Kwilu, République Démocratique du Congo
Authors: Kimvula Jules Mitashi , Luzolo Joël Tungi Tungi , Muke Modeste Kisangala , Tango Eustache Kidikwadi , Ayingweu Constantin Lubini
Published: July 2023

Les écosystèmes forestiers de la République Démocratique du Congo sont sujets à la déforestation, mettant en exergue des paysages fragmentés et anthropisés. La station forestière de l’INÉRA Kiyaka n’est pas épargnée. Cette régression du couvert végétal est tributaire de l’activité humaine. L’analyse cartographique et quantitative par télédétection de la dynamique d’occupation du sol a été réalisée en vue de faire ressortir le facteur primordial de la déforestation entre la pression humaine et les paramètres climatiques. La classification par objet avec l’approche supervisée des images Sentinel 2, Landsat et Spot a permis de caractériser l’occupation du sol à trois périodes (2000, 2010 et 2020). Nous avons retenu six classes d’occupation du sol en fonction des réalités sur le terrain : forêt secondaire mature, forêt secondaire jeune, savane, zone agricole et anthropique, eau et palmeraie. L’analyse de la fragmentation du paysage s’est faite en confrontant les résultats de la classification des images satellitaires des années en étude. L’analyse cartographique et quantitative révèle une dynamique régressive des formations forestières (forêt secondaire) et de la palmeraie au profit de la savane, de la zone agricole et anthropique. Les pourcentages élevés de la régression sont constatés entre 2010 et 2020. Cette étude révèle que depuis 2000, le couvert forestier de la station forestière de Kiyaka subit une transformation de son paysage dû aux activités humaines soutenues par la croissance démographique.
Will Blockchain Technology Revolutionize Supply Chain Management?
Authors: Franke Peter D. , Fischer Felix
Published: July 2023

Purpose: The purpose of this paper is to assess if blockchain technology, which is hailed for its potential to improve supply chain transparency and efficiency, can deliver to this promise (Abreu et al., 2021; Mahyuni et al., 2020; Manzoor et al., 2022; Rennie, 2022; Yiannas, 2018). Supply chains are increasingly complex and full transparency is difficult to achieve and may sometimes be undesired, yet governments worldwide are demanding more transparency especially with respect to the social and environmental sustainability of supply chains (Francisco & Swanson, 2018; Franke, 2021; Najjar, 2021). If blockchain technology allows to close this gap, without compromising corporate confidentiality and efficiency requirements, it might change supply chain management drastically. Most other research in this field remains rather superficial with respect to the fundamentals of blockchain technology and supply chain management. Our study will add to the very limited theoretically founded research on blockchain potentials in supply chains.Study Design: Our paper is conceptual. Based on the extant literature, we compare blockchain technology and its advantages to the characteristics of supply chains and challenges of supply chain management to identify a theoretical fit. We investigate if published case studies of blockchain technology in supply chain management support this. Finally, we devise a conceptual framework for the application of blockchain technology in supply chain management.Findings: There is, currently, very limited use for blockchain technology in supply chain management. It does not provide an answer to several of the challenges that exist in supply chain management. Blockchain technology was primarily devised as encryption technology for virtual entities and transactions involving them and not for tangible objects. Published case studies describing the use of blockchain technology in supply chain management do not contradict these findings.They rely on private blockchain solutions lacking the key benefits of blockchain technology. Our conceptual framework constitutes a reference for a future public blockchain solution for supply chains. It offers solutions for some of the challenges but also cannot solve some fundamental challenges, like power imbalances in supply chains.Limitations: Blockchain technology undergoes rapid development. Future blockchain technology may be faster, less energy-intensive and more integrated with other technologies. This may be aided by developments in hardware, like quantum computing. The findings of this paper are limited to currently available technology.Implications: Companies and governments alike should be very cautious when considering investing in currently available blockchain solutions for supply chain management.
A Battle for Sweet Success in the Dessert Premix Category in Sri Lanka: With Special Emphasis on Brand Equity Perspective
Authors: Perera A. S.
Published: July 2023

The Sri Lanka’s Fast-Moving Consumer Goods (FMCG) sector has embarked upon in practicing different marketing management elements, given the fact due to, stiff competition prevails in the industry sphere. This paper endeavors to look at the importance of building brand equity in managing a brand with a practical perspective by considering the dessert premix category. This looks at what has made Motha reign as an undisputed leader in the concerned category over competition. Colossal amount of prior research articles has provided ground reviewing theories on the notion of brand equity, but this case study article attempts highlight the practical notions attentive to dessert premix category in Sri Lanka. The author has conducted one on one personal discussion with concerned professionals in the organization. However, since there weren’t any direct articles found related to branding in dessert premix, writer has gone through previous related articles, research data to ascertain certain information to the best of ability.
Use of Machine Learning to Define Optimum HUMS Acquisition Strategy
Authors:   Airbus Helicopters, Bonamour Pierre , Naccarato Gianni , Champavier Frederic , Mechouche Ammar , Daouayry Nassia , Macchi Lucas
Published: July 2023

Health and Usage Monitoring Systems (HUMS) measure vibrations levels and compute Vibration Condition Indicators to monitor Helicopters dynamic systems. Modern avionics record continuously a wealth of flight parameters. The influence of flight parameters on Vibration Condition Indicators was assessed using machine learning methods. Machine learning was used to derive Vibration Condition Indicators from flight parameters only. This derivation yielded quantitatively the influence of flight parameters. An illustration of this methodology is presented on main rotor speed. Variable rotor speed contributes to better acoustic performance but is a daunting challenge for HUMS vibration monitoring. Several Vibration Condition Indicators were modelled and their dependency to rotor speed was determined by machine learning parameter weight output. This allowed to optimize the acquisition parameters, the filtering of Vibration Condition Indicators and eventually to classify and choose the most relevant one based on machine learning and extensive replay of fleet data.
Intelligent Black Box Verification, Validation, and Accreditation for Rotorcraft Performance Modeling
Authors:   US Army Futures Command, McCandless William ,   US Army Corps of Engineers - ERDC, Dettwiller Ian
Published: July 2023

The paper addresses process and tool development in support of qualification assessments of performance models. Details are provided regarding developing enablers in the fields of data science, uncertainty quantification, and machine learning. Models are delivered for assessment in all different shapes, for different purposes, with different pedigrees. All or part of the model may be proprietary. In an ideal case, models arrive with detailed documentation, with known data pedigrees, and have successfully passed verification testing. This would be in compliance with the standards outlined in Army Regulation 5-11, Management of Army Models and Simulations (Ref. 1). With other submissions much less is known; documentation and pedigree are absent. It may be missing documentation of requirements or detailed specifications. Traditionally these gaps in information are filled by time-consuming, resource-intensive work of subject matter experts (SMEs), if possible to be filled at all. As modeling capability and complexity continues to increase, the gaps naturally increase, to a point comprehensive assessment becomes unwieldy and unaffordable (even impossible) to be conducted with available processes and tools. Efforts contrast new applications of high-powered computational tools with the long accepted SME-driven methods to establish value and increase capabilities. Results indicate that emerging methodologies can provide valuable guidance without SME involvement.
Bell V-280 Valor: JMR TD Flight Test Update - Year 2
Authors:   Bell, Wilson Paul , Ehinger Ryan , McMenemy Matt
Published: July 2023

The Bell V-280 Valor is Bell's next-generation tiltrotor - designed, built, and tested to provide a revolutionary vertical lift capability with mature technology, mission effectiveness, and affordability for a Future Long-Range Assault Aircraft (FLRAA) program of record. The V-280 Valor Joint Multi Role Technology Demonstrator (JMR TD) entered flight test with its First Flight on December 18, 2017. The partnership between Bell and the US Army spanned all phases of V-280 design, assembly, and testing, including multiple flight tests by US Army pilots. As of April 2019, the test team has accumulated over 100 hours of flight time and over 200 operating hours on the aircraft. In 16 months of flight test, Team Valor has demonstrated the performance, capability, and high technology readiness level of the V-280 through flight test envelope expansion and achieving Key Performance Parameters (KPPs). The flight test program is continuing envelope expansion, technology insertion, and flight demonstrations.
Helicopter Formation Control Algorithm for Manned-Unmanned Teaming
Authors:   German Aerospace Center (DLR), Donkels Alexander , Voigt Andreas
Published: July 2023

Manned-Unmanned Teaming creates opportunities to increase mission performance of close formation flight for military and civil uses. Currently, the close flight of two helicopters, one manned aircraft and one unmanned aircraft system (UAS), within a shared airspace organized as a mixed formation creates high pilot workload due to maintaining the formation and avoiding collisions at the same time. The work presented in this paper approaches this high workload and safety problem and introduces two different strategies implemented as controllers to automate the UAS for the formation flight. In addition to flight results, this paper presents the design and implementation of the formation strategies and highlights the process within a simulation framework of their development, tuning, and testing. The simulation framework also facilitated finding of suitable safety constraints for the formation controllers and the flight test. One developed strategy, the so called Corridor Mode, reduces crew workload, increases flight safety, and enabled the coupling of a manned and an unmanned helicopter in a close formation during a real flight test campaign.
Manned-Unmanned Teaming Cooperative Formation Flight - A Project Review
Authors:   German Aerospace Center (DLR), Voigt Andreas ,   TU Braunschweig, Fettig Kristian , Donkels Alexander
Published: July 2023

Manned-unmanned teaming is a key aspect for improving the efficiency of civil and military operations. This paper provides an overview of a four-year project to develop and evaluate methods for manned-unmanned teaming formation flight. The formation flight scenarios are tailored towards manned and unmanned rotorcraft performing a close formation flight. This paper explains use cases as well as the test methodology. Two formation flight algorithms were developed and evaluated against a preprogrammed waypoint-based baseline. The evaluation was done in a simulator campaign with different pilots and in a flight test campaign with one evaluation pilot. During the final flight test campaign the first coupled close formation flight between a manned and an unmanned helicopter was achieved. Finally, this paper contains the results of both the flight test and simulator campaign.
Real-time Path Planning for Time-Optimal Helicopter Shipboard Landing via Trajectory Parameterization
Authors:   Rensselaer Polytechnic Institute, Zhao Di , Mishra Sandipan , Gandhi Farhan
Published: July 2023

A real-time path planning algorithm is developed to generate time-optimal trajectory for helicopter shipboard landing. The trajectory optimization problem is translated to the lower dimensional flat output space by exploiting the differential flatness property of the simplified helicopter model. Then, the flat outputs are parameterized using piecewise spline functions with adjustable coefficients, which are used to shape the trajectory and approximate the optimal solution. Further, by allowing the flexible selection of each spline segment's time-duration and enforcing additional path constraints, the time-optimality of the planned trajectory is largely preserved without violation of state and input bounds. Compared to pure temporal discretization methods, the proposed algorithm employs considerably less decision variables and significantly reduces the computational time by 75%, which only leads to a 0.5% growth in the optimal flight time as the trade-off. The improvement in computational efficiency enables the real-time recalculation of the time-optimal trajectories on-the-fly if there are unforeseen deviations from the planned flight path.