bluuebunny/crossref_metadata_2025 huggingface dataset:
Spine stabilization in patients with the thoracic and lumbar vertebrae fractures in reduced bone mineral density
Authors: Afaunov A. A. , Basankin I. V. , Takhmazyan K. K. , Mukhanov M. L. , Chaikin N. S.
Published: September 2021

ObjectiveTo compare the clinical effectiveness of various technical and tactical options for surgical treatment of patients with thoracic and lumbar vertebrae fractures with reduced bone mineral density.

Material and MethodsThe study included 238 patients with the thoracic and lumbar vertebrae fractures with reduced bone mineral density (BMD). The patients were aged between 48 and 85 with T-score –1.5 to –3.5. The study did not include the patients with recurrent or multiple vertebral fractures, with absence of the clear date and fact of fracture in the case history, with neurological complications or polytrauma. The patients had fractures А1.2, А1.3, В1.2, В2.3 according to the classification of Magerl (1992). All patients underwent bisegmental transpedicular fixation (TPF). Group 1 included 68 patients who underwent non-cement augmented transpedicular screw fixation. Group 2 included 170 patients who underwent cement augmented transpedicular fixation. Both groups were divided into 2 subgroups. Subgroups 1.1 and 2.1 included patients operated in two stages. The first stage was TPF and the second stage was anterior corporodesis. Subgroups 1.2 и 2.2 included patients who underwent only TPF. Outcomes and complications were studied. The observation period lasted for not less than 2 years. Correlation analysis was performed between the technique of performing operations and surgical tactics in four subgroups and treatment outcomes.

Conclusion1. In the treatment of patients with fractures in the thoracic or lumbar spine with reduced BMD, isolated TPF with cemented screw implantation is clinically equivalent to two-stage surgical treatment - TPF with cementless or cemented implantation and anterior corprodesis of injured FPS. 2. In cementless TPF in patients with decreased BMD, anterior corprodesis of the injured VMS is necessary because its failure leads to the loss of anatomical relationship correction achieved during surgery, increase in local kyphosis, and functional maladaptation of patients.
Endovascular treatment of vertebral arteriovenous fistula using an occlude
Authors: Pakholkov A. N. , Suslov E. S. , Lashevich K. A. , Fedorchenko A. N. , Porhanov V. A.
Published: September 2021

The search for the optimal approach in the treatment of brachiocephalic arteriovenous fistulas is one of the current problems of neurosurgery and vascular surgery. It is important to note that the best prognosis requires timely diagnosis and the earliest possible dissection of the fistula. Also, the method of treatment should have the least negative consequences and a good clinical effect. Previously, surgeons used open surgical vessel ligation with great technical difficulties due to anatomical difficulties of access as well as bleeding. In recent decades, the endovascular approach to treatment has demonstrated advantages over open interventions. Despite the low traumaticity, there is a risk of complications such as untargeted vascular embolization, perioperative stroke, etc. In this article we demonstrate the experience of arterio-venous vertebral artery fistula dissection using an occluder.
Buccal ureteroplasty in a patient with an extended stricture of the proximal ureter of a solitary kidney
Authors: Volkov A. A. , Budnik N. V. , Mustapaev I. D.
Published: September 2021

Buccal ureteroplasty is considered a rare operation in urology and the indications for its implementation are still not clearly defined. We have described a clinical case of successful replacement of a part of the proximal ureter with a buccal graft in a patient with a single kidney, which was drained for a long time with a nitinol stent, which was subsequently incrustated, which led to the installation of a permanent nephrostomy drainage. The patient had no postoperative complications, the patency of the urinary tract was fully restored.
Statistical analysis and characterization of Landsat 8 satellite images of forest wildfires regions
Authors: Hernández-López Sandra Paola , Yañez-Vargas Juan Israel , Gonzalez-Ramirez Andrea , Torres-Roman Deni
Published: September 2021

The increase in the increase in wildfires throughout the world is largely due to increases in temperature and even to an increase in the carelessness of the population in leaving a large amount of the garbage in forests. Using Python and Matlab programs were as working medium. We performed the preprocessing on multispectral images obtained by the Landsat 8 satellite with and without wildfires, which consists of three steps: alignment, characterization and normalization, with the intention of standardization the images. From obtaining the spectral signatures of wildfires and metallic structures, boxes and whiskers diagrams, Shannon entropy and mutual information from the images, there are similar behavior in bands 6, 7, 8, 10 and 11, with more relevant information, taking into account that each image is formed by 11 bands, and in bands 1, 2, 3, 4, 5, 8 and 9 there is less information, SVD decomposition allows to have the best k-rank approximation to the original data matrix. The purpose of this analysis is to reduce the computational complexity.
Study of the mechanical properties of magnetic composites supported on a PU matrix
Authors: Martinez-Moreno Miguel , Fuentes-Ramírez Rosalba , Contreras-Lopez David , Galindo-Gonzalez Rosario
Published: September 2021

Magnetic nanoparticles have been used to confer better properties to materials, particularly to polymers. Due the properties of the polymer, such as flexibility and lightness, combined, white nanoparticles provide other properties such as microhardness, corrosion resistance, among others. In this study, three types of nanoparticles were elaborated: magnetite, cobalt ferrite and nickel ferrite, through the coprecipitation method used in the elaboration of skin-like polyurethane (PU) -based composites. Specimens were made at different nanoparticle weights (0.1%, 0.3%, 0.5% and 1.0%). Likewise, the hardness was measured by means of a phase II Model PHT-2500 portable digital hardness tester and the tension tests were carried out on an Autograph Shimadzu universal machine. The stress results were plotted using the Jupyter Notebook for interpretation. Finding some improvements in the materials manufactured using the different ferrites already mentioned.
Analysis of speckle patterns in electronic devices for the monitoring of current changes
Authors: López-Álvarez Yadira Fabiola , Jara-Ruiz Ricardo , Rodriguez-Franco Martín Eduardo , Delgado-Guerrero Sergio
Published: September 2021

Derived from new advances technological focused on the development of highly functional electronic devices; the manufacturers are obliged to the implementation of techniques to monitor their behavior. These techniques can be destructive or non-destructive, taking the analyzed device to the maximum working range. In this investigation report we show of the results obtained in the study of the speckle patterns of a positive voltage regulator, we used the probability density function and the correlation coefficients, as a statistical analysis of first and second order. The analysis was realized in each terminal of the electronic device, with changes in the input current. The result obtained suggest that the first and second order statistical analysis are good tool in a not destructive measurement and that its results can be relationship with the supply current. These changes are present a behavior ascending as the device operates in the junction temperature range; presenting itself as a mechanism for transmission and convection of heat, using the random distribution of speckle pattern, taking to optical measurement as an technique alternative in the study of electronic devices.
Automatic cephalometric landmark identification in lateral skull X-Rays using convolutional neural networks
Authors: LÓPEZ-RAMÍREZ José Luis , CALDERÓN-SASTRE Enrique , QUINTANILLA-DOMÍNGUEZ Joel , AGUILERA-GONZÁLEZ José Gabriel
Published: September 2021

Cephalometric analysis is a study held in orthodontics, based on the identification of certain points in a skull image obtained through an X-ray image or another method in medical imaging. The indicated points are compared with standard values to evaluate and diagnose the patient. The radiograph’s labeling is regularly performed by hand, which makes the labeling process slow and prone to errors due to the visual acuity required. This approach is not much reproducible, because it relies on the domain and expertise of the expert labeler. Many machine learning methods were successfully applied to solve medical imaging tasks, aiming to reduce the health experts’ workload and emit more accurate diagnoses in less time and, avoid a more several clinical case. This work shows the design and development process of a machine learning system based on convolutional neural networks to identify 19 cephalometric landmarks for a lateral skull radiograph image as input. The system used a 400 labeled images dataset, from which, 150 were used for training, 150 for model’s validation and it was tested in the 100 remaining images.
Analysis of multi-class classification performance metrics for remote sensing imagery imbalanced datasets
Authors: González-Ramírez Andrea , Lopez Josué , Torres Deni , Yañez-Vargas Israel
Published: September 2021

Remote sensing imaging datasets for classification generally present high levels of imbalance between classes of interest. This work presented a study of a set of performance evaluation metrics for an imbalance dataset. In this work, a support vector machine (SVM) was used to perform the classification of seven classes of interest in a popular dataset called Salinas-A. The performance evaluation of the classifier was performed using two types of metrics: 1) Metrics for multi-class classification, and 2) Metrics based on the binary confusion matrix. In the results, a comparison of the scores of each metric is developed, some being more optimistic than others due to the bias that they present given the imbalance. In addition, our case study helps to conclude that the Matthews correlation coefficient (MCC) presents the lowest bias in imbalanced cases and is regarded to be robust metric. These results can be extended to any imbalanced dataset taking into account the equations developed by Luque.
Graphene oxide and graphite oxide used as reinforcement in composites synthesized from cellulose acetate and polyacrylic acid
Authors: Sánchez-Márquez Juan Antonio , Fuentes-Ramírez Rosalba , Ruíz-Camacho Beatriz
Published: September 2021

This work focused on the synthesis and characterization of composites, obtained based on polyacrylic acid and cellulose acetate, which incorporated graphite oxide and graphene oxide as structural reinforcement. The composites were obtained using the phase inversion method and the incorporation of the reinforcement, during the synthesis process, was carried out in proportions of 1% by weight. The characterization of the composites was carried out using IR, Raman, BET, SEM spectroscopy techniques and methods for determining acidic and basic sites. The results obtained showed that it is possible to synthesize composites that present a network configuration, made up of layers that give the material the effect of depth. Furthermore, it was possible to observe that both graphite oxide and graphene oxide were deposited on the outer edge of the hexagonal pores present in the material. Finally, the concentration values of acidic and basic sites were obtained. The presence of these sites could be associated with carboxylic groups inserted during the oxidation of graphitic materials and with non-reactive sites present in cellulose.
Graphical user interface for the patterns detection in wine crops
Authors: Jara-Ruiz Ricardo , Rodríguez-Padilla Luis Ángel , López-Álvarez Yadira Fabiola , Rodríguez-Franco Martín Eduardo
Published: September 2021

Considering that our country has an important participation in the grape productive sector for this reason it is one of the crops with the best opportunity areas for the implementation of this technology type. In this paper the design and development of a Graphical User Interface (GUI) generated in the MATLAB programming environment is exposed, through which the pictures acquisition and process from interest information is carried out to implement patter recognition strategies in the wine crops agroindustrial sector to monitor and generate a timely diagnostic of its currently status. The GUI has a section than allows the pictures acquisition in real time to later capture the information to be processed and through the application of filters and color recognition techniques on the crop leaf (study object) it’s processed to establish a diagnostic, which will allow the user to apply the appropriate measures contributing in the best way to a crop optimal development.
ТЮРКСЬКА СОЦІАЛЬНІСТЬ: ВІД КАГАНАТІВ ДО ПАРАДИГМИ КОНСОЛІДАЦІЇ ДЕРЖАВ
Authors: Білокопитова Н. , Ель Гуессаб К.
Published: September 2021

Стаття присвячена дослідженню феномена соціальності в тюркському світі. Основна складність в цілісному осмисленні матеріалу з даної проблематики полягає в тому, що в українському філософському дискурcі великий комплекс ідей не використовується для аналізу тюркської соціальності, що на наш погляд є важливим. Ми пропонуємо розглядати обрані нами для аналізу джерела з точки зору двох підходів аналітики соціального буття, взявши за основу методологію Ж.-Л. Нансі, який зазначав, що соціальне буття слід розглядати як взаємодію різних асоціацій і як пізнання онтології таких спільнот.
Особливістю дослідження ґенези філософського та соціально-гуманітарного осмислення феномена тюркської соціальності є виявлення та розвиток уявлень про еволюцію тюркського світу як "буття-разом", спів-буття відмінності та множинності. Така онтологія є не стільки "онтологією суспільства" в сенсі "регіональної онтології", скільки онтологією "соціальності".
Виходячи з цього, предмет нашого дослідження «тюркська соціальність» виступає своєрідною специфічною об'єднуючою філософією та ідеологією різних тюркських народів, які створили самостійні державно-політичні структури і певною мірою залишаються самостійними незалежними світовими акторами.
За допомогою методології соціального конструктивізму здійснено аналіз сформованих традицій тюркського соціокультурного простору, які стали екзистенціальною передумовою соціальності у формуванні нових зразків діяльності, котрі набудуть згодом статус традиційних. Удосконалено уявлення про структуру тюркського соціального буття, факторами якого є формування державності, розвиток урбанізаційних процесів, формування відповідної духовної релігійної ідеології тенгріанства та ісламу. Набуло подальшого розвитку з’ясування світоглядних засад (прагнення до гармонії, спів-буття разом, духовне самозаглиблення, традиційна, релігійна культура, патерналізм), які виступають важливим чинником об’єднувальної філософії та ідеології тюркської соціальності в сучасних умовах глобальних викликів.
ПРИНЦИП ПРИХОВАННЯ ЯК ФІЛОСОФСЬКА МОВА МАНІХЕЙСТВА
Authors: Артеменко М.
Published: September 2021

У статті розглядається концепт маніхейського фармакону як окремої філософської концепції. Маніхейське вчення в сучасній академічній традиції розглядається виключно з позиції релігієзнавчого вивчення. Проте символічна структура маніхейських трактатів, простір метафори, принципово відрізняється від європейської метафізики. Основним принципом існування маніхейства як системи знань є образність і гра смислів. У європейській метафізиці ці поняття позбавлені філософського авторитету, тоді як для східної традиції це основний маркер філософського дискурсу. Це навмисна "втеча від грецького логосу", представлена в інших формах філософування і конструювання реальності. У статті проаналізовано сферу розбіжностей між класичною філософською традицією епохи еллінізму та принципом формування "етичної фізики" у маніхейській традиції. Головною особливістю цієї системи є принцип мерехтливої реальності, прихованої за системою дуальних опозицій. Таким чином, вся філософська система являє собою простір гри і фармакону, спрямованого на зняття стану дифферансу і набуття початкової цілісності.

Контакт зі світом істини – маніхейська фармакологія. Вона є лікувальною для тих, хто звертається до неї через вчителя, і руйнівною для тих, хто контактує до неї особисто. Взаємодія зі світом розсіювання – це гра, поняття, дискредитоване у європейській метафізиці. Сприйняття чи несприйняття фармакону, слідування за вчителем чи отримання "радості від життя" – це мультифункціональна гра. Це "розгадування" або розпізнавання справжньої сутності буття схоже на читання маніхейських трактатів, коли читач змушений розгадувати стромати автора.
БЕЗУМОВНИЙ БАЗОВИЙ ДОХІД ЯК ФАКТОР НІВЕЛЯЦІЇ СОЦІАЛЬНИХ РИЗИКІВ В УМОВАХ МОДЕРНІЗАЦІЙНИХ ВИКЛИКІВ INDUSTRY 4.0
Authors: Ковтун Н. , Шкіль Л. , Венцель Н.
Published: September 2021

У статті розкрито вплив технологій четвертої індустріальної революції (роботизації, автоматизації, діджиталізації виробництва) на процеси соціального й матеріального розшарування в умовах постіндустріального суспільства, поляризацію у доходах між різними верствами населення у залежності від доступності для них інноваційних технологій, загрозу зростання масового безробіття як в країнах центру світ-системи, так і в країнах її периферії. Доведено ефективність використання механізмів безумовного базового доходу як чинника упередження і подолання технологічного безробіття, вирішення проблеми працюючих бідних, сповільнення прискореної поляризації у доходах між різними соціальними верствами, активізації купівельної спроможності громадян, подолання кризи пенсійних систем більшості країн світу, скорочення бюрократичного апарату в системі соціального захисту та ін.
Особлива увага у дослідженні сконцентрована на аналізі практик впровадження безумовного базового доходу в таких країнах, як США, Норвегія, ОАЕ, де безумовний базовий дохід формувався з ренти за використання природних ресурсів. З’ясовано, що впровадження в цих країнах безумовного базового доходу стало ефективним механізмом справедливого перерозподілу матеріальних багатств і способом досягнення принципів соціальної справедливості. Поряд з цим у країнах, які розвиваються (Індія, Уганда, Намібія), введення механізмів безумовного базового доходу призвело до зростання рівня фінансової стабільності і фінансової безпеки серед його отримувачів та зумовило покращення якості боргових зобов’язань серед бідних верств населення.
Встановлено, що введення механізмів безумовного базового доходу містить і ряд серйозних соціальних ризиків: зростання соціальної апатії, загальне зниження трудової активності, знецінення праці людини як такої. Водночас аргументовано, що введення безумовного базового доходу розвинутими країнами і обмеженість ресурсів на такі практики в країнах, які розвиваються, може ще більше поглибити вже існуючі диспропорції у їх соціально-економічному розвитку та зумовити стихійне зростання міграційних потоків з менш розвинутих країн у країни центру світ-системи.
На основі аналізу диспропорцій у соціальному розвитку сучасної української держави з’ясовано, що в Україні вже склалися умови для впровадження механізмів безумовного базового доходу: значна кількість пенсіонерів і людей з обмеженими можливостями, порівняно з працюючими; реальна відсутність середнього класу і належність левової частки населення держави до категорії бідних; концентрація суспільного багатства в руках незначної кількості олігархічних сімей і, як наслідок, величезний запит в українському суспільстві на дотримання принципів соціальної справедливості.
Deep-sea chitons of the genus Stenosemus (Mollusca: Polyplacophora) from Fiji and Solomon Islands
Authors: Sirenko B. I.
Published: September 2021

Three new species of the genus Stenosemus collected near Fiji and Solomon Islands of the central Pacific are described here. Stenosemus fijiensis sp. nov. from Fiji differs from the congeneric species by a unique sculpture of the central areas of tegmentum, consisting of triangular pits and light brown spots on valves. S. philippei sp. nov. and S. solomonensis sp. nov., both from the Solomon Islands, differ from other the species of the genus by having a head of major lateral tooth of radula bicuspidate with small outer denticle, shape and sculpture of dorsal spicules and sculpture of tegmentum.
A new genus of the Bradybaenidae family (Gastropoda, Pulmonata) from Central Asia
Authors: Schileyko А. , Pazilov А. , Abdulazizova Sh.
Published: September 2021

On the Kugitangtau Ridge (western part of Pamiro-Alai mountain system) 16 specimens of a new species of molluscs referring to the nominative subfamily of the Bradybaenidae family have been found. The new taxon differs from all other species of this subfamily by total absence of all additional organs of female section of the reproductive tract (stylophore, additional sac, mucus glands, supraatrial bladder), bean-shaped short penis, and thick-walled penis sheath that attached at both proximal and distal ends. On the base of these characters the illustrated description of a new monotypic taxon Kugitangia hatagica Schileyko, Pazilov et Abdulazizova, gen. et sp. nov. is presented. Conchologically the new species does not differ reliably from Fruticicola fedtschenkoi and differs from Fruticicola perlucens mainly by the presence of fine granulation on the embryonic whorls.
Taxonomic status of Pisidium amnicum (Müller, 1774) and P. inflatum Megerle von Mühlfeld in Porro, 1838 (Mollusca: Bivalvia: Sphaeriidae)
Authors: Voode Margus
Published: September 2021

In accordance with the taxonomic system adopted in Russia and used also in Estonia, the largest local forms of pea clams (Sphaeriidae) have been treated as two species, P. amnicum and P. inflatum . The aim of the study was to clarify if P. amnicum and P. inflatum are separate species. Populations of both forms from Estonia were analysed genetically and morphologically. Analysis of the COI and ITS-1 gene fragments revealed that these two forms were genetically indistinguishable. Although there were statistically significant differences in the relative proportions of the shell between their typical individuals, there occurred also intermediate values. Consequently, P. inflatum cannot be considered as a separate species and should be treated as an ecological variety of P. amnicum that inhabits mainly a characteristic sandy substrate.
Some adventitious species of terrestrial molluscs Central Asia
Authors: Schikov Evgenij V.
Published: September 2021

Limax flavus Linnaeus, 1758 not previously recorded in Central Asia was found in Uzbekistan. The total number of adventitious species in Central Asia is 12; six species are migrants from Asia (Caucasus); six from Europe. Nine species were found before 1990, while three after 1991. Seven species of these are slugs (58%); nine of adventitious species are kolonozoids, three - epecozoids.
New findings of the Plicifusus species in the Russian Arctic (Neogastropoda: Buccinidae)
Authors: Kosyan Alisa R. , Nekhaev Ivan O.
Published: September 2021

Three species, attributed to buccinid genus Plicifusus , had been previously known from the Arctic: Plicifusus kroeyeri (Møller, 1842), P. johanseni Dall, 1919, and P. rodgersi (Gould, 1860). Study of museum collections and recently obtained material from the Laptev and East Siberian seas resulted in discovery of Plicifusus maehirai Tiba, 1980, previously known from the Northern Pacific, and Plicifusus sp., which probably belongs to an undescribed species. P. johanseni has been found in the Russian waters for the first time. Lectotype of P. johanseni has been designated.
Land molluscs of Southern Armenia (Syunik Region)
Authors: Gural-Sverlova N. V. , Amiryan A. L. , Gural R. I.
Published: September 2021

In 2015-2016 land molluscs from 48 natural and anthropogenically transformed localities in Syunik Region of Armenia were investigated. The analysis of original and published data allowed to compile a species list of land molluscs of Syunik Region, which includes 78 species. Two forms with unclear taxonomic status are described: Stenomphalia sp. and Chondrula cf. sunzhica .
Screening pigment of the camera eyes of stalkeyed mollusks (Pulmonata, Stylommatophora) with different light preferences
Authors: Shepeleva I. P.
Published: September 2021

Morphological properties of the granules of the screening pigment in the retinae of camera eyes of gastropod mollusks with different light preferences were studied. It was demonstrated that the pigment granules of mollusks can differ by color and size but do not differ by structure, electron density and form. Light conditions of mollusks’ habitats can influence on the amount of the screening pigment, which in its turn does not affect resolving ability of the eyes.
Mathematical and Scriptural aspect of Mekhala in the Construction of Yagya Kund
Authors: Chandel Ekta
Published: September 2021

Yagya kund has five parts - Khat, Nabhi, Kant, Mekhla and Yoni. The construction of Yagya kund shall be done with proper consideration of all of its parts. The final shape and appearance of the Yagya kund came after the construction of Mekhala. Mekhala is an object which surrounds another object by keeping that object in the middle. For Yagya kund, Mekhala surrounds the fire pit which provides the shape to the Yagya kund.  The present paper attempts to describe the mathematical and scriptural aspects of Mekhala i.e. description of Mekhala and Khat, shape, number of Mekhala, and significance. The number of Mekhala varies by the size of Yagya Kund, the number of offerings, and the purpose of Yagya. The study also described the dimension of all types the Mekhala construction for 1 hast Kund indicating the important role of Mekhala in the Yagya Kund construction.
Unemployment, Social Exclusion and Emerging Social Vices in Nigeria
Authors: Samuel Oluranti
Published: September 2021

Unemployment in Nigeria is alarming, and the active workforce is lamenting. The oversaturation of the Nigerian labour market, the socio-economic and political policies seem to make employment a mirage, causing emotional and physical distress, and subjective feelings of social exclusion. This paper assesses the effects of unemployment and social exclusion on the emerging social vices in Nigeria. The paper uses secondary data from the Nigeria Bureau of Statistics (NBS), Central Bank of Nigeria (CBN) Annual Report on unemployment, and the various reported crimes and social vices attributed to unemployment and the survival strategies of the unemployed. The results show that unemployment has very damaging effects on the subjective perception of social integration, access to economic resources, mental health, life or psycho-social goal fulfilment and higher self-efficacy of the unemployed. It was discovered that social vices like fraud, drug trafficking, kidnapping, ritual killing, armed robbery, banditry, fuel-pipe vandalism, prostitution, and desperation for offshore migration among others are the survival strategies of many of the unemployed. The paper suggests social inclusive policies that will improve the socio-economic and political situation of the country, which will reduce unemployment and the emerging social vices, enhance talent re-orientation, and utilization of the youth for individual fulfilment and national productivity.
Gender and Inequalities in Access to Formal Education in Nigeria
Authors: Anyebe Adam Adem
Published: September 2021

It is on record that the scourge of poverty is more pronounced on the female gender than male in Nigeria. Education which is known worldwide as an instrument of development has not been sufficiently accessed by Nigerian women. Fewer women apply for entry to universities as a result of fewer girls completing secondary education and this problem has its roots in primary school. Men have greater access to high-paying, secure employment than women. This paper therefore attempts to examine the relationship between gender and inequalities in access to formal education in Nigeria. Education for women and girls at all levels, therefore, should aim at reversing the trend of gender discrimination by ensuring full empowerment of women in the true sense of raising their status.
A Modified General Diode Equation
Authors: Chakravorty Pragnan
Published: September 2021

The general diode equation or the non-ideal
diode equation is the foundation of circuit models of active devices for the
past several decades. Apart from the effect of p-n junction, this equation also
accounts for the series bulk resistance of a diode. Despite a reasonable
agreement of the equation with measured IV characteristics, it is shown here that
the equation is incompatible with basic theories of circuits and systems.
Therefore, a modification in the equation is proposed to remove this incompatibility.
This modified equation leads to a compact model of a p-n junction diode that has
an excellent agreement with the measured IV characteristics.
Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication
Authors: Ghosh Sutanu , Acharya Tamaghna , Maity Santi P.
Published: September 2021

This paper reports relative performance of decode-and-forward (DF) and amplify-and-forward (AF) relaying
in a multi-antenna cooperative cognitive radio network (CCRN) that supports device-to-device (D2D) communications
using spectrum sharing technique in cellular network. In this work, cellular system is considered as primary
and internet of things devices (IoDs), engaged in D2D communications, are considered to be secondary system.
The devices access the licensed spectrum by means of the cooperation in two-way primary communications.
Furthermore, IoDs are energized by harvesting the energy from radio frequency (RF) signals, using simultaneous
wireless information and power transfer (SWIPT) protocol. Closed form expressions of outage probability for
both cellular and D2D communications are derived and the impact of various design parameters for both AF
and DF relaying techniques are studied. Based on the simulation results, it is found that the proposed spectrum
sharing protocol, for both DF relaying and AF relaying schemes, outperform another similar network architecture
in terms of spectrum efficiency. It is also observed that the performance of the proposed system using DF relaying
is better than AF relaying scheme in terms of energy efficiency at same transmit power
Procedural Level Generation for Sokoban via Deep Learning: An Experimental Study
Authors: Zakaria Yahia , Hadhoud Mayada , Fayek Magda
Published: September 2021

Deep learning for procedural level generation has been explored in many recent works, however, experimental comparisons with previous works are rare and usually limited to the work they extend upon. This paper's goal is to conduct an experimental study on four recent deep learning procedural level generators for Sokoban to explore their strengths and weaknesses. The methods will be bootstrapping conditional generative models, controllable & uncontrollable procedural content generation via reinforcement learning (PCGRL) and generative playing networks. We will propose some modifications to either adapt the methods to the task or improve their efficiency and performance. For the bootstrapping method, we propose using diversity sampling to improve the solution diversity, auxiliary targets to enhance the models' quality and Gaussian mixture models to improve the sample quality. The results show that diversity sampling at least doubles the unique plan count in the generated levels. On average, auxiliary targets increases the quality by 24% and sampling conditions from Gaussian mixture models increases the sample quality by 13%. Overall, PCGRL shows superior quality and diversity while generative adversarial networks exhibit the least control confusion when trained with diversity sampling and auxiliary targets.
Deep Multi-Resolution Mutual Learning for Image Inpainting
Authors: Zhang Huan , Zhang Zhao , Zhang Haijun , Yang Yi , Yan Shuicheng , Wang Meng
Published: September 2021

Please cite this work as: 

Huan Zheng, Zhao Zhang, Haijun Zhang, Yi Yang, Shuicheng Yan and Meng Wang, "Deep Multi-Resolution Mutual Learning for Image Inpainting," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022. 
MR-InpaintNet: Toward Deep Multi-Resolution Learning for Progressive Image Inpainting
Authors: Zhang Huan , Zhang Zhao , Zhang Haijun , Yang Yi , Yan Shuicheng , Wang Meng
Published: September 2021

Deep learning based image inpainting methods have improved the performance greatly due to powerful representation ability of deep learning. However, current deep inpainting methods still tend to produce unreasonable structure and blurry texture, implying that image inpainting is still a challenging topic due to the ill-posed property of the task. To address these issues, we propose a novel deep multi-resolution learning-based progressive image inpainting method, termed MR-InpaintNet, which takes the damaged images of different resolutions as input and then fuses the multi-resolution features for repairing the damaged images. The idea is motivated by the fact that images of different resolutions can provide different levels of feature information. Specifically, the low-resolution image provides strong semantic information and the high-resolution image offers detailed texture information. The middle-resolution image can be used to reduce the gap between low-resolution and high-resolution images, which can further refine the inpainting result. To fuse and improve the multi-resolution features, a novel multi-resolution feature learning (MRFL) process is designed, which is consisted of a multi-resolution feature fusion (MRFF) module, an adaptive feature enhancement (AFE) module and a memory enhanced mechanism (MEM) module for information preservation. Then, the refined multi-resolution features contain both rich semantic information and detailed texture information from multiple resolutions. We further handle the refined multiresolution features by the decoder to obtain the recovered image. Extensive experiments on the Paris Street View, Places2 and CelebA-HQ datasets demonstrate that our proposed MRInpaintNet can effectively recover the textures and structures, and performs favorably against state-of-the-art methods.
Electricity Theft Detection in the Presence of Prosumers Using a Cluster-based Multi-feature Detection Model
Authors: Alromih Arwa , Gope Prosanta , Clark John
Published: September 2021

Data
driven approaches have been widely employed in recent years to detect
electricity thefts. Although many techniques have been proposed in
the literature, they mainly focus on electricity thefts by consumers of
power from the grid. Existing studies do not consider electricity thefts
by prosumers, who act as both supplier and consumer in the energy
system. This is of great importance as inaccurate reports of prosumers'
behaviours can disturb power system operation. Here, the paper
examines the role prosumers may play in subverting the energy system and
propose a novel means of detecting such malfeasance.

Specifically,
this work introduces a new electricity theft attack scenarios
called balance attacks, where an attacker concurrently modifies his
readings along with neighbouring meters in an attempt to balance the total aggregated
reading. Such attacks can be difficult to detect by existing solutions that
reach detection decisions based on aggregated readings. A novel electricity
theft detector is proposed that can detect thefts in the presence of prosumers.
Current approaches use either a single model for all users across the
system or else a model for each user. Here, a half-way house approach is
adopted where a cluster-based detection model is used. In each cluster,
the power time series for a user is decomposed into trend, cyclical and
residual components. Residual
data, along with different features from multiple data sources, are fed in an
ML classification algorithm to detect anomalous readings. Simulations have been
conducted using a newly generated dataset and results have shown that the
proposed model can detect electricity theft with high detection and low error
rates. The results also shows that the proposed model can detect thefts with
great accuracy from new users.
An unsupervised anomaly detection model to identify emphysema in low-dose computed tomography
Authors: Nagaraj Yeshaswini , Cornelissen Ludo , Cai Jiali , Rook Mieneke , Wisselink Hendrik Joost , Veldhuis Raymond , Oudkerk Matthijs , Vliegenthart Rozemarijn , M. A. van Ooijen Peter
Published: September 2021

Challenges such as class imbalance, time intensive visual scoring, and limited amounts of labeled data are often encountered while accessing lung cancer screening low-dose computed tomography (LDCT) data for automated emphysema detection. To tackle these issues, we propose a generative adversarial network (GAN) based on unsupervised anomaly detection (UAD) to identify emphysema in LDCT. And to initiate disease specific feature learning, we introduce data augmentation based on minimum intensity projection (minIP) for the adversarial framework. The generator of the UAD model resembles an image latent-image configuration consisting of fully convolutional encoder-decoder architecture with skip connections. The discriminator is an encoder, which acts as a feature extractor and a classifier. We tested the robustness of the minIP based UAD model by adding anomalies to the training set. Furthermore to illustrate the usefulness of minIP and to serve as a comparison methodology for emphysema detection in LDCT, the proposed model was compared to the 2.5D transfer learning model. Visualization techniques like post processed residual images and Grad-cam maps were used to explain the UAD model inference. Our proposed minIP based UAD model showed an area under the curve of 0.91 0.02 for emphysema detection in LDCT. The UAD model was robust to inclusion of anomalies up to 3%. The augmentation improved the sensitivity of the transfer learning model by 2% however the UAD model outperformed the transfer learning model. The UAD model with minIP is a potential computer-aided tool for early detection of emphysema in lung cancer screening data.
Câncer de próstata em homens atendidos em uma unidade de alta complexidade em saúde: perfil epidemiológico
Authors: Oliveira Tânia Carneiro de , Almeida Elaine Soares de , Lima Naiara Costa , Silva Marcus Vinicius Cardoso Matos , Sousa Anderson Reis de , Pimenta Rodolfo Macedo Cruz , Costa Misael Silva Ferreira , Cerqueira Daniella Carvalho Gomes de , Reis Maria Carolina Oliveira
Published: September 2021

Objetivo: caracterizar o perfil epidemiológico do câncer de próstata em homens atendidos em uma unidade de alta complexidade em saúde na Bahia, Brasil. Método: Estudo descritivo, transversal, quantitativo, realizado em uma unidade de alta complexidade de referência em um município da Bahia, Brasil. Realizou-se busca exploratória de dados primários coletados em prontuários de pacientes com câncer que que estavam iniciando e/ou em tratamento, entre janeiro de 2013 a dezembro de 2015. A amostra foi composta de 662 registros, os quais foram submetidos à análise estatística. Resultados: Mais de 60% dos pacientes residiam na área urbana, cerca de 90% são atendidos pelo Sistema Único de Saúde (SUS). O câncer de próstata obteve maior prevalência em homens com idade acima de 60 anos, principalmente na faixa etária 70-79 anos. A análise histológica da biópsia indicou que a maioria dos pacientes já se encontravam na escala G2, classificado como médio risco, havendo a possibilidade de avançar para o escore G3 - alto risco. Conclusão: O perfil epidemiológico indicou prevalência elevada para o câncer de próstata, com recorte etário avançado, perfil histológico relevante para a vigilância dos pacientes e expressiva cobertura de atenção à saúde na esfera pública.
Descritores: Neoplasias do Homem; Câncer de Próstata; Saúde do Homem; Fatores de Risco.
Application of Risk Assessment While Assigning the Surface Width of Multi-Lane Roads
Authors: Щеголева Н. В. , Столяров В. В. , Кочетков А. В.
Published: September 2021

Постановка задачи. Рассматривается задача назначения ширины покрытия многополосных дорог на основе риск-ориентированного подхода в соответствии с Федеральным законом Российской Федерации № 184-ФЗ «О техническом регулировании». Результаты. Впервые представлена применимость алгоритма оценки риска взаимодействия транспортных средств на многополосных дорогах на примере назначения требуемой ширины шестиполосной автомагистрали. На основе оценок риска решены следующие проблемы: определены требуемые параметры ширины покрытия для нормативных документов; установлены допустимые величины ширины покрытия при проектировании автомагистралей; даны рекомендации по совершенствованию поперечного профиля существующих автомобильных дорог при капитальном ремонте и реконструкции. Выводы. Установлено, что в нормативных документах по проектированию шестиполосных автомобильных дорог при проектном составе транспортных средств следует предусмотреть изменение нормированной ширины покрытия, увеличив ее до значения, при котором риск столкновения автомобилей не превысит допустимой величины 1⸱10.

Statement of the problem. The problem of ensuring the safety of vehicles on a multi-lane roadway of the required width of coverage is considered on the basis of a risk-oriented approach, in accordance with the Federal law of the Russian Federation No. 184-FZ «on Technical Regulation». Results. The authors presented the applicability of the algorithm to assess the risk of interaction of vehicles on six-lane highways for determining regulatory performance; the required values of surfacing thickness for the design have been identified; recommendations on the improvement of the transverse profile when major repairs and reconstruction have been provided. Conclusions. It was found that in normative documents for designing six-lane roads, the design vehicle should provide the change of normalized coating thickness, increasing it to values where the risk of collision of vehicles does not exceed the permissible value.
Methodology for calculating the volume and mass of a tubular electrobaromembrane apparatus for cleaning industrial solutions of machine-building and chemical industries
Authors:   Konovalov D.N. Lazarev S.I. Kovalev S.V. Levin A.A.
Published: September 2021

The design of a tubular electrobaromembrane apparatus for purification of technological solutions of machinebuilding and chemical industries is developed. An optimized version of the apparatus with an increased effective area of separation of solutions is presented, its volume and weight are calculated. The developed design of the apparatus allows to increase the area of separation of solutions, to increase the productivity and quality of separation of solutions and to reduce material consumption per unit volume of the apparatus.
Keywords: design, electrobaromembrane apparatus, calculation
kdn1979dom@mail.ru
Method of extracting design knowledge from 3D models
Authors:   Kondusov D.V. Kondusova V.B.
Published: September 2021

The mathematical description of extracting design knowledge from 3D-models and methods for comparing the obtained knowledge, used in the search for geometrically similar mechanical engineering products, are considered.
Keywords: 3D-model, design knowledge, deformation method, Hu-moment, convolutional neural
networkkdimka@list.ru
Analisis Kebutuhan Pengembangan LMS Untuk Pembelajaran Online Kimia Dasar Pada Program Studi Pendidikan Biologi UMMY
Authors: Afrahamiryano Afrahamiryano
Published: September 2021

The emergence of the Covid-19 case for the first time in Indonesia on March 2, 2020, and was followed by a very fast spread in almost all parts of Indonesia. Especially in West Sumatra Province on March 26, 2020, several central and regional government policies emerged to prevent a wider spread. One of the policies taken is the implementation of online learning for all levels of education. Changes in the learning system which was originally face-to-face to 100% online. Therefore, it is necessary to conduct research that aims to analyze the need for developing LMS for online Basic Chemistry learning, especially at the Biology Education Study Program at Mahaputra Muhammad Yamin University (UMMY). This study aims to analyze the needs of students and lecturers in the online learning process. The research sample is students who take Basic Chemistry courses. Research data was collected using google forms. The results of data analysis showed that 96.4% of students and lecturers used Google Classroom for lectures, 65% of students needed funds for an internet quota of Rp. 50,000 – Rp. 100,000.00, 51.8% of students stated that the teaching materials presented were of sufficient quality. Based on the results of data analysis, it can be concluded that there are 3 things needed for LMS development in Basic Chemistry Courses, namely learning applications that are similar to Google Classroom because they are easy to use; funds for internet quota; and quality teaching materials.
Proximate Composition of Different Parts of White Cassava (Manihot esculenta Crantz) Plant as a Ruminant Feed
Authors: Idris Sarah Binti , Shamsudin Rosnah , Mohd Nor Mohd Zuhair , Mokhtar Mohd Noriznan , Abd Ghani Siti Salwa
Published: September 2021

Cassava (Manihot esculenta Crantz) is the third-largest carbohydrate food source in the tropical region after rice and corn. Its flesh is used to produce foods, while the other parts of the plant are not fully exploited. This research aimed to evaluatetheproximate composition of the cassava plant (Rayong 90 variety). Six different parts namely leaf, petiole, young stem, tuber, cortex and periderm of white variety cassava plants were dried and powdered to determine their proximate composition (protein, carbohydrate, fat, crude fiber, ash, moisture). The results show that the leaf is the most nutritional compared to other parts. Leaf had 43.80% carbohydrate, 23.87% protein, 13.66% crude fiber, 6.53% ash, 6.00 % crude fat and 5.00% moisture content. The crude protein for other parts were very low, ranging from 2.54% to 10.20%. The white cassava variety plant was very high in carbohydrates, ranging from 30.48% to 86.77% of dry matter. The mean percentage of crude fat found within the range from 0% to 6.00%. From the results, it can be concluded that a leaf of white cassava variety can be used to develop a potential high carbohydrate and protein ruminant feed because it has appreciable levels of the nutrient.