bluuebunny/crossref_metadata_2025 huggingface dataset:
The effectiveness of the harvesting strategy in the collection of environmental art by the Institute of Fine Arts students
Authors: Abdul Qadir Taher Ikhlas
Published: June 2023

The current research aims to: (know the effectiveness of the harvesting strategy in the achievement of the students of the Institute of Fine Arts in environmental art.- In order to know this effectiveness, the researcher put a main zero hypothesis and derived six sub-hypotheses from it. the usual way; As the research community reached (120) male and female students of the Fine Arts Institutes for the morning study in Baghdad. As for the research sample, it was chosen by the simple random method, and the number was (75) male and female students for the year 2021-2022 AD. The researcher applied a pre-knowledge test for the four groups of research to find out the level of previous experiences of students in the subject of environmental art. Teaching material vocabulary and objectives. After obtaining the validity and reliability of the test, the test was applied post-test on the four groups to see the effectiveness of the study plans according to the harvesting strategy.Among the statistical methods used by the researcher: Kruskal-Wiles test for equivalence in precognitive achievement. Holsty equation to ensure the validity of the cognitive achievement test. Kauder Richardson (20) test for reliability of cognitive test. The discriminatory power equation to find the percentage of the number of respondents who answered correctly in the paragraph. Mann Whitney test to find differences between the two groups according to the sub-hypotheses.- The results of the research showed that the students of the two experimental groups who studied environmental art according to the harvesting strategy excelled over the students of the two control groups who studied in the traditional way.- The results also showed that there were statistically significant differences between the ranks of the students of both groups, the experimental males and the experimental females, and that the direction of this difference was in favor of the females of the experimental group who studied according to the harvest strategy.Based on the results, the researcher concluded:1. The harvesting strategy worked on transferring students from a state of direct reception of information to searching for it, and this is the opposite of the usual method.2. The steps of the harvest strategy enabled the students to make qualitative changes in their thinking pattern, which helped them to distinguish the correct solutions and choose them from among many solutions.The researcher recommends: presenting the educational material to the students in the form of problems that affect the life of the learner, and this encourages thinking and finding appropriate solutions to them.
التعزيز الوظيفي وانعكاسه على أنظمة المنتجات الصناعية
Authors: حمدي حشمت ملوك , اسعد عبد الرزاق لبنى
Published: June 2023

اهتم البحث الموسوم (التعزيز الوظيفي وانعكاسه على أنظمة المنتجات الصناعية) بالتركيز على إمكانية تعزيز المنتجات الصناعية من الناحية الشكل والوظيفية بنحو تكون قادرة على تلبية احتياجات المستخدم من خلال تأثير التكنلوجيا والتقنيات الحديثة على التعزيز الوظيفي للمنتجات الصناعية وفاعليتها في تحقيق المتغيرات التصميمية الشكلية والوظيفية ، وإنتاج منتجات صناعية تكون على قدر عالٍ من الكفاءة والمتانة بهدف تحسينها لكي تلبي احتياجات المستخدم ، فإن نقل التكنولوجيا بين أشكال الحياة والمنتجات الصناعية أمر مرغوب فيه لأن عمليات التعزيز الوظيفي التي طرئت بشكل عام على المنتجات الصناعية من قبل بعض من المصممين طورت احتياجات الانسان بشكل يفوق توقعاته مما جعل المستخدم يعيش برفاهية في استخدام المنتجات واختصرت له الكثير من الوقت في أداء المهام اليومية وتعزيز المنتجات الصناعية بما يتناسب مع متطلبات المستخدم المعاصر يعد امرا ضرورياً لسد حاجة المستخدم، وتطرق البحث الحالي الى اطار نظري الذي يضم ثلاثة مباحث ، سنتطرق اليها تباعاً.
The effect of dramatizing curricula within the social studies subject for the basic education stage on students’ achievement and their attitudes towards theatre
Authors: Shaker Mustafa baban Mohanad , Mahmoud Saeed Sardar
Published: June 2023

استخدم الباحث المنهج التجريبي لملاءمته وطبيعة مشكلة البحث، مجتمع البحث مثله طلبة المرحلة الثامنة الأساس في مدرسة روزاك الأـساسية المختلطة والتابعة للمدرية العامة لتربية أربيل/ المركز، للعام الدراسي (2021–2022) والبالغ عددهم (96)* طالباً، وتكونت عينة البحث من (63) طالباً وطالبة وبواقع (31) في المجموعة التجريبية، و(32) في المجموعة الضابطة، وقد تم استبعاد (11) من الطلبة بواقع (5) طلبة من المجموعة التجريبية، و(6) طلبة من المجموعة الضابطة، إذ أن المستبعدين هم من الطلاب الراسبين والمتغيبين عن الدروس، وعليه أصبحت عينة البحث مكونة من (52) طالباً وطالبة وبواقع (26) طالباً و(26) طالبة، وبهدف جمع المعلومات تمَّ بناء اختبار التحصيل لمادة التاريخ، وبعدها تمّ تطبيقه بعد توافر الشروط العلمية فيه، وتمّت معالجة البيانات إحصائياً باستخدام الوسط الحسابي، الانحراف المعياري، النسبة المئوية، معامل صعوبة الفقرات الموضوعية، معامل سهولة الفقرات الموضوعية، القوة التمييزية للفقرات الموضوعية، معامل الارتباط بيرسون، معادلة سبيرمان – براون، معامل جتمان، الاختبار التائي لعينتين مستقلتين، وقد استنتج الباحث ما يلي: - تفوق طلاب المجموعة التجريبية التي تدرس وفق استراتيجية مسرحة الشخصيات في اختبار التحصيل لمادة التاريخ على طلاب المجموعة الضابطة والتي تدرس وفق الأسلوب المتبع في التدريس
المخيال الشعبي في صروح محمد غني حكمت النحتية
Authors: علي بني عطا حمزة , نايل طعاني محمود , حسين العتوم يعقوب
Published: June 2023

إن التحدث عن أهمية المخيال في الأعمال النحتية له دوراً في تشكيل الذاكرة الجمعية وتحريكها سواء كان مخيالاً فنياً أو اجتماعياً أو دينياً أو تاريخياً؛ لأنه يوثق الموروث الثقافي لأي بلد من خلال البنية الهيكيلية للشكل النحتي، ودلالاته ورموزه التي تعتبر صورة جمالية فعالة في بلورة المفاهيم والمضامين الفكرية المختلفة. لذا هدفت الدراسة معرفة توظيف المخيال الشعبي في الأعمال الفنية للنحات (محمد غني حكمت)، وأيضاً الكشف عن الميزات الفنية والجمالية للتراث الشعبي وانعكاسه على اسلوبه الفني، إذ قام الباحثون باستخدام المنهج الوصفي التحليلي، لمناسبته طبيعة البحث، وذلك بوصف وتحليل الأعمال النحتية من حيث دلالاتها ومفرداتها، ومرجعيات العمل الفني، وفي ظل ما سبق توصل الباحثون إلى مجموعة من النتائج أهمها: قدرة الفنان من خلال الدلالات والرموز المستوحاة من المخيال الشعبي من أن يعيد للأذهان الحكايات والاساطير التراثية كخطاب جمعي متداول، وأيضاً تعكس أعمال الفنان الواعي لموروثه الحضاري مدى قدرته على السرد التلقائي لقصص المخيال الشعبي الجمعي من خلال تطويع الخامة بأسلوب فني تعبيري أصيل ومعاصر، كما أن ظهرت صروح (محمدغني حكمت) النحتية بشكل متوازن من خلال الكتلة ذات الإيقاع المنتظم، مما أعطى البنية التكوينية قيمة تعبيرية متناغمة مع الفضاء، وباتت بعلاقة واضحة معه.
ACIDENTES COM HIPOCLORITO DE SÓDIO NA ENDODONTIA: UMA REVISÃO DA LITERATURA
Authors: Henrique Maciel da Silva Sérgio , Vieira de Sousa Oliveira Marijara , Alexandre Casimiro de Oliveira Marcos , Klidenberg de Oliveira Júnior José , Vieira de Sousa Raulison
Published: June 2023

Objetivo: Compreender, através de uma revisão da literatura, o cenário de publicações sobre acidentes com NaOCl na endodontia no Brasil, identificando os acidentes que podem acontecer bem como suas causas, consequências e condutas. Método: Trata-se de uma revisão da literatura, com dados coletados no Google acadêmico, LILACS e através da plataforma CAPES entre 2017 e 2023, através dos descritores “Hipoclorito de sódio”, “Acidentes” e “Endodontia” utilizando o operador booleano AND. Foram incluídos apenas artigos de relato de caso, em português, disponíveis na íntegra e estando relacionados à questão norteadora da pesquisa, sendo excluídos artigos duplicados, teses e dissertações. Após aplicação dos critérios de inclusão, selecionaram-se quatro artigos que compuseram a amostra do estudo. A fim de sistematizar o processo de seleção dos artigos, utilizou-se a metodologia Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Resultados: Após aplicação dos critérios de elegibilidade quatro artigos foram selecionados para constituir a amostra final. Pôde-se inferir que os temas mais abordados foram: o extravasamento do hipoclorito de sódio durante o tratamento endodôntico; principais condutas em casos de incidentes com hipoclorito de sódio e maneiras de prevenção; além do atendimento odontológico que transcende a tecnicidade, focado no ser humano biopsicossocial. Irrigação com soro fisiológico e solução de hidróxido de cálcio, junto ao uso de analgésicos e antibióticos; e laserterapia foram as condutas abordas pelos artigos. Conclusão: As causas iatrogênicas acabam sendo as mais associadas as lesões de extravasamento, sendo os tratamentos mais citados a irrigação do canal radicular com soro fisiológico e hidróxido de cálcio, junto a prescrição medicamentosa de analgésicos e antibióticos.

Palavras-chaves: Hipoclorito de sódio. Acidentes. Endodontia.
THE FIRST FIND OF TWO SPECIES OF ASIAN POND MUSSELS (SINANODONTA) IN THE REFTINSKY RESERVOIR (CENTRAL URAL)
Authors: PAVLUK T. , TRETYAKOVA A. , KOVALEV S. , GRUDANOV N.
Published: June 2023

This study presents the data on the first record of Sinanodonta woodiana and S. lauta in artificially heated site of Reftinsky reservoir by warm water discharge of the Reftinsky thermal power plant (Sverdlovsk Region, the Reft River, Ob-Irtysh River Basin). This find is the northernmost habitat of these mussels of all known. The population of this species shares the invasive haplotypes: E3 ( S. woodiana ) and C3 ( S. lauta ). The population of the mussels includes individuals of various size and different age groups, and this fact could be an indirect evidence of successful naturalization of the species. The group of older specimens (over 10 years old) is more numerous in the population of S. woodiana (56%). The group of specimens of middle age (3-6 years) is more numerous in the population of S. lauta, their share is 48%. Specimens of Sinanodonta younger than 1-year-old (shell length less than 25 mm) are absent, and specimens of 2-3 years old are not numerous. Based on molecular data and archival records on fishery use, we assume that the invasion of S. woodiana and S. lauta in the Reftinsky reservoir is associated with introduction of food fish delivered from the Volga fish-farms at the end of the 20th - the beginning of the 21st century.
DISTRIBUTION PATTERN OF TREMATODES IN A LARGE SETTLEMENT OF THE PONTO-AZOV MOLLUSK LITHOGLYPHUS NATICOIDES (C. PFEIFFER 1828) (GASTROPODA, HYDROBIIDAE) FROM THE UPPER SECTION OF THE UGLICH RESERVOIR (UPPER VOLGA BASIN)
Authors: TYUTIN A. , MOROZOVA D. , PRYANICHNIKOVA E.
Published: June 2023

The Ponto-Azov gastropod mollusk Lithoglyphus naticoides (C. Pfeiffer, 1828) naturalized in the Uglich Reservoir relatively recently (in 2013-2015). The main objective of this study is a comparative analysis of the species diversity and structure of trematode communities in different biotopes, occupied by L. naticoides after the initial phase of its spread in the upper section of this water body (downstream the city of Dubna), characterized by a complex hydrological regime. Approximate coordinates of the geographical center of the large settlement of L. naticoides are 56°53ʹN, 37°25ʹE. It is found that by 2019-2021 the average density of L. naticoides in this settlement reached a consistently high value of about 450 ind./m2. Judging by the variability of shell height in adult mature L. naticoides individuals, even within the same settlement, optimum habitat conditions for this mollusk differ significantly in different biotopes. In a comparative aspect, data from two main hydrobiological sampling locations are considered: in the open part of the reservoir and at the mouth of a large tributary - the Dubna River. It is shown that at both locations the species composition of trematodes in L. naticoides is similar and includes, in particular, parthenitae of Apophallus muehlingi (Jägerskiöld, 1899), Apophallus (= Rossicotrema ) donicus (Skrjabin et Lindtrop, 1919), Parasymphylodora markewitschi Kulakowskaja, 1947, Nicolla skrjabini (Iwanitzky, 1928). However, Sanguinicola volgensis (Razin, 1929) parthenitae, dominant in L. naticoides in the open part of the reservoir, is not found in the sample of mollusks from the mouth of the Dubna River. As compared to the sampling site in the open part of the reservoir, at the mouth of the Dubna River the level of infection with parthenitae of other species is significantly lower: N. skrjabini and P. markewitschi - 7 times, Apophallus spp. - 8 times, Xiphidiocercaria sp. - 13 times. The ratio of males to females among mature individuals of L. naticoides turns out to be close to 1:1, which is usual for many freshwater mollusks. In general, the high occurrence (the infection prevalence - the proportion of infected individuals in the host sample P±SE, %) in the open part of the reservoir indicates the presence of prerequisites for serious outbreaks of helminthoses: Xiphidiocercaria sp. (9.16±2.52%), Apophallus spp. (11.45±2.78%), P. markewitschi (7.63±2.32%), N. skrjabini (7.63±2.32%), S. volgensis (63.36±4.21%). At the same time, according to the data obtained, further spread of L. naticoides in some tributaries of reservoirs in the Upper Volga basin may not have such serious parasitological consequences.
CHANGES IN FLORA SPECIES COMPOSITION AND SOIL ENZYME ACTIVITY IN COMMUNITIES OF ACER NEGUNDO IN THE KEMEROVO REGION
Authors: TSANDEKOVA O. , SHEREMETOVA S. , UFIMTSEV V. , KHRUSTALEVA I.
Published: June 2023

The article presents the study results of the species composition of vascular plants and soil activity in communities dominated by Acer negundo . The studies were carried out on accounting sites located in the mountain-taiga and forest-steppe zones of Kuzbass. The selection of trial plots was made taking into account the horizontal differentiation of space into under-crown (registration plots) and external zones (control) of phytogenic fields. Floristic descriptions and analysis of the soil by the level of activity of enzymes (invertase, protease, phosphatase) were carried out using standard methods. The species diversity of vascular plants in the areas under study constituted 64 species. The dominant plant species in the ash-leaved maple communities were identified. Under the canopy of A. negundo , ruderal species - Cirsium setosum, Elytrigia repens, Lamium album, Urtica dioica, and Taraxacum officinale - dominate, while in the outer zones, the proportion of meadow species increases - Achillea millefolium, Dactylis glomerata, and Festuca pratensis . It has been established that the floristic composition of communities does not affect significantly the level of activity of soil enzymes. In the undercrown space of A. negundo , an increase in the activity of hydrolytic enzymes by an average of 11% was noted, compared with the outer zones.
GIANT INTRACRANIAL TUBERCULOMA: EXPERIENCE OF A NEUROSURGEON
Authors: Singh Mankotia Dipanker , Bala Ankur , Ishan Ishan , B. Shankar K. , Tanwar Ishita
Published: June 2023

Background: Central nervous system involvement of tuberculosis is rare but is the most severe form of tuberculosis. It rarely presents as a huge mass known as a giant tuberculoma which can mimic as, the neoplasm of the brain on imaging. As an intracranial space-occupying lesion it may present with focal neurological decits associated with raised intracranial pressure, hydrocephalus, or seizures. 10 cases Material and Method: were operated on for giant intracranial tuberculoma by gross total excision at a tertiary care hospital. All the cases showed complete Results: resolution of symptoms and absence of any new symptoms till their latest follow-up. Both, medical as well surgical management are accord together in the management of giant intracranial tuberculoma. Timely diagnosis and management are essential for better clinical outcomes
PROSPECTIVE OBSERVATIONAL STUDY COMPARING OUTCOMES AND COMPLICATIONS OF OPEN VS LAPAROSCOPIC NEPHRECTOMY
Authors: Odedra Nayan , Vijayanand Potdar Ojas , Sutreja Diva , Vikram Patkar Amrita
Published: June 2023

Introduction: Nephrectomy refers to surgical removal of the kidney and is further divided into simple, radical, partial and donor nephrectomy. Simple nephrectomy is conducted in irreversible kidney damage; radical nephrectomy in malignant or benign renal tumours while partial nephrectomy involves removal of part of kidney. Nephrectomy may be performed via open or laparoscopic approaches; although there is evidence favouring laparoscopy, supplementary evidence is necessary to establish it.2 This study aims to compare outcomes, complications and other parameters for laparoscopic and open surgical nephrectomy at a tertiary care centre in western India. To compare outcomes and Aim: complications for laparoscopic and open nephrectomy. Objectives: To compare: 1. Immediate and late complications. 2. A] Requirement of analgesia. B] Return of bowel functions. 3. Mean length of hospitalization and return to regular normal activity. Materials And Methods: A prospective observational single centre study was conducted at a tertiary care centre in western India. Total sample size was 49 of which 25 patients underwent laparoscopic nephrectomy while 24 patients underwent open nephrectomy. Intraoperative anaesthesia, trocar access, duration of surgery, blood loss, repeat haemoglobin and haematocrit value at post operative day 1, requirement of blood transfusion, duration of analgesics requirement, post-operative stay; histopathology report and time to resume normal activity at immediate follow up, follow up at 3 months and further follow up after surgery were noted down. Current study found statist Results: ically signicant relationship of higher intra-operative blood transfusion requirement and higher post-op requirement of Analgesia in case of open surgery. Moreover, among laparoscopy group there was signicantly lower blood loss during surgery, early time to oral diet, low pain VAS score, lower doses of Tramadol and early return to normal activity was found as compared to Open surgery group (p<0.05). Laparoscopic nephrectom Conclusion: y results in less blood loss, less requirement of post operative analgesia and more rapid post operative recovery in comparison to open surgery
RISK FACTORS FOR ACUTE LOWER RESPIRATORY TRACT INFECTIONS IN UNDER- FIVE CHILDREN ADMITTED TO TERTIARY HEALTH CARE CENTRE
Authors: Holikar Sunil , Lomte Ramesh , Satdeve Roshni , Bhaisare Kiran
Published: June 2023

Respiratory infections are perhaps the most common human disease.
Acute lower respiratory infections (ALRI) are the leading cause of
morbidity and mortality in children under ve years of age. Recent
estimates suggest that approximately 120-156 million cases of ALRI
occur worldwide each year, of which approximately 1.4 million are
2-5 fatal.
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Authors: Zhang Xinglong , Peng Yaoqian , Luo Biao , Pan Wei , Xu Xin , Xie Haibin
Published: June 2023

Recently, safe reinforcement learning (RL) with the actor-critic structure for continuous control tasks has received increasing attention. It is still challenging to learn a near-optimal control policy with safety and convergence guarantees. Also, few works have addressed the safe RL algorithm design under time-varying safety constraints. This paper proposes a model-based safe RL algorithm for optimal control of nonlinear systems with time-varying state and control constraints. In the proposed approach, we construct a novel barrier force-based control policy structure that can guarantee control safety.  A multi-step policy evaluation mechanism is proposed to predict the policy's safety risk under time-varying safety constraints and guide the policy to update safely. Theoretical results on stability and robustness are proven. Also, the convergence of the actor-critic learning algorithm is analyzed. The performance of the proposed algorithm outperforms several state-of-the-art RL algorithms in the simulated Safety Gym environment. Furthermore, the approach is applied to the integrated path following and collision avoidance problem for two real-world intelligent vehicles. A differential-drive vehicle and an Ackermann-drive one are used to verify offline deployment and online learning performance, respectively. Our approach shows an impressive sim-to-real transfer capability and a satisfactory online control performance in the experiment.
Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops
Authors: Nguyen Viet Hung , Nam Pham , Truong Thu Huong
Published: June 2023

We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. 
MapReduce for Graphs Processing: New Big Data Algorithm for 2-Edge Connected Components and Future Ideas
Authors: Dahiphale Devendra
Published: June 2023

Finding connectivity in graphs has numerous applications, such as social network analysis, data mining, intra-city or inter-cities connectivity, neural network, and many more. The deluge of graph applications makes graph connectivity problems extremely important and worthwhile to explore. Currently, there are many single-node algorithms for graph mining and analysis; however, those algorithms primarily apply to small graphs and are implemented on a single machine node. Finding 2-edge connected components (2-ECCs) in massive graphs (billions of edges and vertices) is impractical and time-consuming, even with the best-known single-node algorithms. Processing a big graph in a parallel and distributed fashion saves considerable time to finish processing. Moreover, it enables stream data processing by allowing quick results for vast and continuous nature data sets. This research proposes a distributed and parallel algorithm for finding 2-ECCs in big undirected graphs (subsequently called ”BiECCA”) and presents its time complexity analysis. The proposed algorithm is implemented on a MapReduce framework and uses an existing algorithm to find connected components (CCs) in a graph as a sub-step. Finally, we suggest a few novel ideas and approaches as extensions to our work.
Design and analysis of Clock Domain Crossing using VC Spyglass tool
Authors: Rakshith Makam Manikya , Hiremath Sujatha S
Published: June 2023

Clock domain crossing (CDC) is a critical aspect of digital design where data is transferred between different clock domains in a synchronous system. It entails making sure that the data is appropriately synchronized and transported between the source and destination clock domains without any loss or errors. Modern digital systems that employ numerous clock domains to accommodate various modules or components operating at different frequencies place a high value on CDC. Potential timing problems such as setup and hold time violations, clock skew, and metastability pose difficulties for clock domain crossing. To overcome these difficulties and guarantee dependable data transport, appropriate synchronization techniques and design considerations are used, including the usage of synchronization components like flip-flops and synchronizers. This paper presents the advantage gained by using VC Spyglass tool for easier CDC analysis. CDC is crucial to maintain system functionality, performance, and reliability, and it requires careful design, verification, and analysis to mitigate potential issues and ensure the correct operation of complex digital systems.
A Unified Affine-Projection-Like Adaptive Algorithm for System Identification
Authors: Li Yingsong
Published: June 2023

 A unified affine-projection-like adaptive (UAPLA) algorithm is deivised and verified for system identification. The UAPLA algorithm uses a generalized cost function encompassing some data-reusing methods to cope with colored input signals. Furthermore, the UAPLA algorithm is derived based on the new cost function to generalize multiple affine-projection algorithms. As a result, the proposed UAPLA algorithm includes some classical adaptive filters as exceptional cases while allowing flexibility to achieve low estimation errors under impulsive noises. The obtained results conducted by simulations help to corroborate the superiority of the proposed UAPLA algorithm over other popular AP algorithms. 
A General Constrained Adaptive Filtering Algorithm for Channel Estimation and Beamforming: Analysis and Performance
Authors: Li Yingsong
Published: June 2023

A General Constrained Adaptive Filtering (GCAF) algorithm is proposed via constructing a general and adaptive loss function to find out a solution of constraint optimizing problem. By selecting appropriate parameters, the GCAF algorithm can be utilized to approximate different adaptive algorithms and has higher performance than its approximated algorithms. The steady state mean squared-deviation of GCAF algorithm is derived and analyzed. Also, its complexity is presented. Simulation results demonstrated that the performance of devised GCAF method can outperform most of typically adaptive algorithms by choosing optimal parameters. 
Control Methods for Operation of Pumped Storage Plants with Full-size Back-to-Back Converter Fed Synchronous Machines
Authors: Tiwari Raghbendra , Nilsen Roy , Mo Olve , Nysveen Arne
Published: June 2023

A full-size converter-fed synchronous machine (CFSM) for variable speed operation of a pumped storage power plant exhibits multiple advantages over the state-of-the-art doubly fed induction machine (DFIM) technology. The CFSM technology is emerging as the most flexible system for pumped storage plants for efficient operation in a wide range of water flows, which is not the case in existing power plants.  This article presents steady-state control strategies to execute the variable speed operation of the pumped storage power plants in both turbine and pump mode using a full-size back-to-back converter.

Furthermore, the starting method of the power plant in pump and turbine mode from a standstill is proposed. In addition, the seamless transition of operating modes from the turbine to pump mode and vice versa is presented, which is an essential feature required to adapt to the varying power generation from renewable energy sources like solar and wind. The behavior of the power plant during a voltage dip on ac grid, and the low-voltage ride-through (LVRT) capability in both turbine and pump modes are also presented. The proposed control strategies are experimentally verified with a 100 kVA machine and converter setup with an emulated reversible pump turbine (RPT) and waterways. 
Brain Tumor Classification And Segmentation Using Machine Learning For Magnetic Resonance Images
Authors: Poriya Vaishali
Published: June 2023

Brain tumor is one of the diseases with less survival chances. There are different types of tumor found in human brain mainly classified as cancerous tumor or non cancerous tumor. Further these tumors can be distinguished on the basis of their type and location such as pituitary tumor, glioma tumor or meningioma tumor. Magnetic resonance images (MRI) is an imaging technique which is widely used to study brain tumors because of its various advantages over other imaging methods. As there are hundreds of brain slices in MRI images and to study those manually is a tedious task and can be a very time consuming process. To facilitate the medical experts, this research work proposed an automated brain tumor classification and segmentation process. The study focuses on two major tasks of brain classification and brain segmentation. An EfficientNetB7 neural network is used to classify brain tumors from the MRI images. The overall classification accuracy of the model achieved was 98.485 percent. Which is better than the other existing models such as VGG-16, CNN, MobileNet, ResNet152v1 and some recent works? For segmentation of brain images consisting tumor an effective non linear curve fitting based method is proposed using levenberg-Marquardt algorithm. The proposed method showed better results than the existing state of art methods.
Non-coherent view on NOMA-MIMO transmission. Resumen and theoretical study
Authors: Kontorovich Valeri
Published: June 2023

This material is fully dedicated to the “Incoherent approach for Power NOMA-RIS-MIMO transmission in wireless channels”. Such kind of approach might be successfully applied in dense networks formed by high-speed-vehicles (HSV networks, etc.), as those scenarios take place in Doubly-Selective communication channels typical for such kind of radio networks. The proposal for the, hereafter presented, incoherent view (“paradigm”) is based on several basic principles: - Rejection of the Channel State Information (CSI, CSIT) approach, i.e. rejection of the “coherent” paradigm (ideology); - Application of the so-called “invariant” (in relation to the communication channel’s distortions) modulation technique; - Orthogonal channel decomposition by means of “universal” eigen-basis (in the form of Prolate Spheroidal Wave Functions, PSWF) as “artificial trajectories” of wave propagation. - Chaotic filtering (with chaos parameters settings as UE signatures) together with sequential multiuser parallel detection algorithms for users’ identification. It is shown that the proposed paradigm might provide an effective use of the radio-resource and it is relatively simple for implementation.
Optimising Sentinel-2 Feature Space for Improved Crop Biophysical and Biochemical Variables Retrieval Using the Novel Spectral Triad Feature Selection Algorithm
Authors: Kganyago Mahlatse , Adjorlolo Clement , Mhangara Paidamwoyo
Published: June 2023

Machine learning regression algorithms (MLRAs) can learn complex and non-linear relationships between the response and predictor variables. However, studies have shown that feature subset selection is more beneficial, yielding high accuracy and low uncertainties in retrieving biophysical and biochemical variables. Generally, feature subset selection techniques are often applied with highly dimensional and correlated hyperspectral data, while it is seldom used with the multispectral dataset. Instead, previous studies utilising multispectral data have mainly applied the entire feature space. The advent of quasi-hyperspectral sensors, e.g., Sentinel-2, presents new challenges where two or more variables may be collinear and impact MLRA’s performance. This study presents a novel Spectral Triad feature selection technique based on music theory and compares it to the entire MSI feature space and Random Forest-Recursive Feature Elimination (RF-RFE). The optimal subsets were evaluated with Random Forest for retrieving leaf area index (LAI), Leaf Chlorophyll a + b (LCab) and Canopy Chlorophyll Content (CCC) in a semi-arid agricultural landscape. The results indicated that the proposed STfs algorithm obtained equivalent or better (i.e., by 1 – 3%) retrieval results for LAI (R2cv of 66%, RMSEcv of 0.53 m2 m–2), LCab (R2cv: 74%, RMSEcv: 7.09 µg cm–2) and CCC (R2cv: 77%, RMSEcv: 33.69 µg cm–2), using only 5, 7 and 7 variables, respectively, when compared to RF-RFE and entire MSI feature space. Overall, the proposed STfs algorithm has great potential to optimise the spectral feature space of quasi-hyperspectral sensors for rapid crop biophysical and biochemical parameter retrieval.
1-D Convolutional Neural Networks based models for Cooperative Spectrum Sensing
Authors: Serghini Omar , Semlali Hayat , Ghammaz Abdelilah , Maali Asmaa , Serrano Salvatore
Published: June 2023

Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users. The application of machine learning techniques to spectrum sensing has attracted consid?erable interest in the literature. In this contribution, we study cooperative spectrum sensing in a cognitive radio network where multiple secondary users cooperate to detect a primary user. We introduced multiple cooperative spectrum sensing schemes based on a tree deep neural network architecture, which incorporate a one-dimensional convolutional neural network and a long short-term memory network. The primary objective of these schemes is to effectively learn the activity pattern of the primary user. The scenario of an imperfect transmission channel is considered to demonstrate the robustness of the proposed model. The performance of the proposed methods are evaluated with the receiver operating characteristic curves, the probability of detection for various SNR levels and the computational time. The simulation results confirm the effectiveness of the bidirectional long short-term memory based method, surpassing the performance of the other proposed schemes and the current state of the art in terms of detection probability while ensuring a reasonable online detection time.
A Reputation-enhanced Shard-based Byzantine Fault-tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems
Authors: Okegbile Samuel , Cai Jun , Chen Jiayuan , Yi Changyan
Published: June 2023

This paper presents a blockchain-enabled data sharing framework for latency-sensitive computing services.
Multimodal-multisensor Analytics for Detecting Temporal Phases of Anxiety
Authors: Senaratne Hashini , Ellis Kirsten , Kuhlmann Levin , Melvin Glenn , Oviatt Sharon
Published: June 2023

In this paper, we use a combination of physiological and behavioral metrics of anxiety to detect changes in anxiety status in clinically anxious participants compared with healthy controls, which is important for intervening in a timely manner for the effective management of anxiety. Specifically, we first operationalize four phases of anxiety and select multimodal-multisensor feature candidates to assess those phases, considering preliminary results obtained in prior research employing a generalized mixed additive model-based analysis. Then, we evaluate the performance of selected features and their combinations in detecting the presence of anxiety phases, using the "Anxiety Phases" dataset. The results demonstrate that unimodal features of skin conductance response rate and mean rigidity of wrists detected all four temporal phases in ~50% of high-anxiety individuals. These two features detected at least three phases in ~90% of high-anxiety individuals. The fusion of these two features with an additional postural feature detected all four temporal phases in 65% of high-anxiety individuals. The multimodal-multisensor combination of these three features represented a 30% improvement compared with the best unimodal predictive feature. Implications of these findings are discussed for developing accurate real-time multimodal-multisensor anxiety management systems for clinical populations.
In Case of Acute Pancreatitis; think of Hyperparathyroidism! A Case Report
Authors: Halouache Ali , Ahlame Benhamdane , , Yassine Errahali , Sanae Chakdoufi , Jad Isouani , Anas Guerboub Ahmed
Published: June 2023

Introduction: The revelation of primary hyperparathyroidism by acute pancreatitis is an exceptional situation. Materiel and Methods: A case report. Case Report: We report the case of a 73 years old patient, hypertensive, having the antecedent of an ischemic cardiopathy complicated by cardiac insufficiency and atrial fibrillation, admitted to the urgencies for an abdominal pain evolving since 10 days, associated with vomiting, the initial biological assessment showed lipasemia at 2543IU/l, kidney failure and malignant hypercalcemia at 142mg/l. The etiological work-up showed primary hyperparathyroidism with double localization, the patient benefited from a parathyroidectomy with a good clinicobiological evolution. Discussion: The association hyperparathyroidism - acute pancreatitis was most often explained by the link of hypercalcemia, most of the above theories have not presented scientific evidence, and the current challenge is to seek a direct link between these two pathologies, the genetic theory remains an option, but its role is not clear.
Ekbom Syndrome; a Dilemma for Gastroenterologists and Dermatologists: Clinical Case of Delirium of Parasitosis Following a Proven Infestation
Authors: Hanine Ismail , N’ait-abbou Abdelilah , Mouhadi Khalid , Gatoum Mohamed , Kadiri Mohamed
Published: June 2023

Background: Described in 1938, Ekbom's syndrome is a disorder in most cases having a psychiatric origin. In addition to being frequent in psychiatry consultations, it I can be presented in dermatology essentially and other medical fields as well (such as gastroenterology). Case Report: We report the case of a patient who, after a suspected infestation, presented with Ekbom syndrome but the lack of knowledge of the disorder led to a three-year delay in diagnosis and treatment. Conclusion: Despite the understanding of this disorder is an integral part of the training of any psychiatrist, it is not the case of other medical fields, and the lack of awareness of this disorder can be harmful to the patient, because the delay in diagnosis and the excessive paraclinical explorations can make the management difficult.
A Rare Etiology of Pulmonary Embolism: Case Report
Authors: Biadi Mohamed El , Abdellaoui Mohamed
Published: June 2023

The pulmonary hydatid cyst is the second most common site of this parasite after the liver. It is histologically benign condition but it can lead to serious complications. In this case report, we present a rare complication of the pulmonary hydatid cyst, which is the pulmonary hydatid embolism. The diagnosis is exclusively by Imaging.
Imaging Features in Parotid Infantile Hemangioma: A Case Report and Review of Literature
Authors: Benhima Anouar , Kazouini Imane , Chbichib Chada , Zouita Btissam , Basraoui Dounia , Jalal Hicham
Published: June 2023

Hemangioma of the parotid gland is a benign growth of endothelial cells. It is the most common tumor of the salivary glands in childhood. The initial appearance is usually before 4 weeks of age and achieves full growth before first half of infancy. Diagnostic studies, either imaging or histological ones, are not necessary in the presence of a single lesion with typical clinical history and objective examination. Magnetic resonance imaging (MRI) is the best imaging modality to diagnose and define the extent of parotid hemangioma. Various approaches for treatment are available and Propranolol is considered first line therapy for these tumors. In this paper, we report the case of a female infant who presented with right parotid region swelling, in whom the diagnosis of parotid hemangioma was made based on imaging features.
Giant Peritoneal Loose Body Causing Acute Intestinal Obstruction: Case Report
Authors: Zouine Y. , Mennis N. , Gakosso C. , Boutakioute B. , Idrissi M.Ouali , Idrissi N.
Published: June 2023

Peritoneal loose bodies are a rare condition. They are caused by the peritoneal appendages that become inflamed and cause a buildup of material in the peritoneal cavity. This can be hard to spot because it's so rare. The availability of CT scans makes this diagnosis easier. A 77-year-old patient with hypertension and diabetes underwent peritoneal mouse challenge. The patient suffers from acute intestinal sub obstruction. CT scan revealed a mobile calcified density lesion approximately 5 cm in diameter in the peritoneal cavity. Peritoneal loose bodies are a rare complication of omental appendages that have distorted due to ischemic conditions. Laparoscopy excised a firm mass suggestive of primary omental appendicitis. Diagnostic terms for acute or chronic abdominal pain can be found in the general medical literature. Photographs of the affected individual's body show a large greasy or chalky substance.
A Rare Case Report of Emphysematous Osteomyelitis of the Femur in a Pediatric Patient: Imaging Findings and Review of the Literature
Authors: Zouine Yousra , O Benfaddoul , B Zouita , D Basraoui , H Jalal
Published: June 2023

Emphysematous osteomyelitis (EO) is a rare yet life-threatening condition that must be considered in patients presenting with intraosseous gas on imaging. Anaerobic bacteria or members of the Enterobacteriaceae family are typically implicated in EO. The presence of significant comorbidities, such as malignancy and diabetes mellitus, can increase the risk of developing this condition, and high mortality rates have been reported. Prompt diagnosis and management are critical for improving patient outcomes, and radiologists play a vital role in identifying and interpreting imaging findings suggestive of EO.in this article we report the exceptional case of emphysematous osteomyelitis of the femur in a 12-year-old girl with no prior medical history. Microbiological analysis of the collected samples revealed the presence of Staphylococcus aureus.
ANALISIS EFISIENSI DAN EFEKTIVITAS PENGGUNAAN MODAL KERJA PADA PERUSAHAAN SUB-SEKTOR ANEKA INDUSTRI ELEKTRONIKA YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) PADA PERIODE 2017-2019
Authors: Situmorang Bornok , Megalia
Published: June 2023

This research aims to determine the level of efficiency and effectiveness of the use of working capital in various electronics industri sub-sector companies listed on the Indonesia Stock Exchange (IDX) in the 2017-2019 period. The analysis technique used in this research is to use the working capital turnover ratio by comparing sales to net working capital and the profitability ratio by comparing the profit margin with working capital. The type of research used is descriptive research using quantitative data as the basis of analysis. Based on the results of the study, it shows that the average level of efficiency and effectiveness in the use of working capital in various electronics industri sub-sector companies listed on the Indonesia Stock Exchange (IDX) in the 2017 - 2019 period is declared Efficient and Effective. Where it means that the higher the rate of working capital turnover will be the more income you get from that income stream. The higher the rate of working capital turnover, the more efficient and effective it is in the use of working capital.
Pelatihan Desain Presentasi Untuk Peningkatan Kualitas Laporan Ilmiah Bagi Siswa siswi SMK Teknologi Riau Pekanbaru
Authors: Fatdha T Sy Eiva , Nasution Torkis , Yenni Helda , Imardi Syahrul
Published: June 2023

Kegiatan Pengabdian Kepada Masyarakat (PKM) ini adalah salah satu bagian dari Tri Dharma Perguruan Tinggi yang harus dilaksanakan oleh seorang dosen. Pengabdian dilaksanakan sebagai suatu wujud transfer ilmu kepada masyarakat dalam peran dan tanggung jawab intelektual dalam melestarikan dan meningkatkan khasanah budaya. Satu diantara kegiatan yang dilakukan adalah bagaimana mempersiapkan siswa siswi khususnya pada SMK Teknologi Pekanbaru Riau dalam meningkatkan pengetahuan dan mutu dalam pembuatan pelaporan dan desain presentasi pada penulisan ilmiah termasuk dalam pembuatan laporan Praktek Kerja Lapangan (PKL) bagi siswa siswi SMK Teknologi Riau Pekanbaru dengan memanfaatkan pembelajaran berbasis ICT. Hasil kegiatan ini diharapkan memberi kontribusi pada pihak sekolah, guru, dan siswa serta diharapkan hasil pelatihan ini dapat dimanfaatkan dalam peningkatan mutu penulisan karya ilmiah kedepannya pada SMK Teknologi Riau.
INOVAÇÃO TECNOLÓGICA E DESENVOLVIMENTO REGIONAL NO SETOR DE ROCHAS ORNAMENTAIS: A INDICAÇÃO GEOGRÁFICA DO GRANITO DO NOROESTE CAPIXABA
Authors: De França Everaldo
Published: June 2023

O setor de rochas ornamentais representa um importante percentual no PIB brasileiro, mas precisa de inovação tecnológica para se consolidar no mercado internacional. A Indicação Geográfica (IG) é um ativo de propriedade industrial usado para identificar a verdadeira origem de um determinado produto ou serviço possuindo uma relação íntima com uma localidade, região ou país, como por exemplo notoriedade. Alguns espaços geográficos no Brasil são referências na extração e no beneficiamento de rochas ornamentais e apresentam potencial de reconhecimento, registro e selo de indicação geográfica a ser concedido pelo Instituto Nacional de Propriedade Industrial (INPI). As Indicações Geográficas remetem aos produtos e/ou serviços que tenham uma origem geográfica específica notoriamente conhecida que como ativo intangível a IG agrega adicional valor a um serviço ou produto. O reconhecimento de uma IG pode colaborar com políticas que objetivam incentivar o desenvolvimento dos produtos regionais, ou seja, produtos ou serviços que possuam uma identidade local, fama, reputação a fim que estes sejam reconhecidos nacional e internacionalmente por serem possuidores do selo de Indicação Geográfica, reconhecendo aquele território como referência na prestação de determinado serviço ou fabricação, produção ou extração de um produto. Foram feitas pesquisas bibliográficas, documentais e na base de dados de patentes do INPI para a realização deste trabalho. Adicionalmente, inúmeras inovações tecnológicas produzidas no setor de rochas ornamentais podem ser protegidas legalmente pela propriedade industrial ampliando as possibilidades de agregação de valor de determinados produtos, processos e serviços existentes em uma região.
Mediasi Kepuasan Kerja Atas Pengaruh Kompensasi dan Burnout pada Komitmen Organisasi (Studi Kasus Pegawai Perangkat Desa di Kecamatan Getasan)
Authors: Wibowo Mada Adi , Fitriyani Fitriyani
Published: June 2023

Kompensasi merupakan imbalan yang sangat diharapkan oleh pegawai dan burnout berupa pekerjaan sebaiknya sama dengan keahlian pegawai. Oleh karena itu, sudah sepatutnya bagian human resource melihat hal ini guna memperhatikan komitmen organisasi perangkat desa serta kepuasan kerja yang dapat menjadi variabel mediasi atau tidak dalam Pengaruh Kompensasi dan Burnout Terhadap Komitmen Organisasi. Penelitian ini bertujuan untuk menganalisis pengaruh antara Kompensasi dan Burnout Terhadap Kepuasan Kerja serta Implikasinya Terhadap Komitmen Organisasi. Sampel dalam penelitian ini adalah perangkat desa di kecamatan Getasan sejumlah 67 responden. Alat analisis yaitu analisis jalur/Path Analysis. Penelitian ini menunjukkan hasil bahwa Kepuasan Kerja dapat memediasi Kompensasi dan Burnout Terhadap Komitmen Organisasi.
Analisis Tingkat Pemahaman Peraturan Perpajakan, Kesadaran Wajib Pajak, Sosialisasi Pajak Dan Pemungutan Pajak UMKM E-Commerce Terhadap Kepatuhan Wajib Pajak (Studi Kasus Pada Pemilik Usaha UMKM E-Commerce Di Kota Kudus)
Authors: Zakia Firda Ayu , Sugiarti Sugiarti , Siddiq Faiz Rahman
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengaruh tingkat pemahaman peraturan pajak, kesadaran wajib pajak, sosialisasi pajak dan pemungutan pajak UMKM E-Commerce terhadap kepatuhan wajib pajak (Studi Kasus Pada Pemilik Bisnis UMKM E-Commerce di Kota Kudus), baik secara parsial maupun simultan. Data yang digunakan dalam penelitian ini adalah data primer. Populasi dalam penelitian ini adalah wajib pajak orang pribadi pelaku e-commerce di Kota Kudus. Jumlah populasi sebanyak 15.941. Sampel yang digunakan dalam penelitian ini berjumlah 360 responden, dengan metode pemilihan sampel menggunakan metode purposive sampling. Hasil dari penelitian ini menunjukkan bahwa variabel tingkat pemahaman peraturan pajak, kesadaran wajib pajak, serta sosialisasi wajib pajak berpengaruh terhadap kepatuhan wajib pajak dan pemungutan pajak UMKM E-Commerce tidak berpengaruh terhadap kepatuhan wajib pajak.