bluuebunny/crossref_metadata_2025 huggingface dataset:
Discoloration: A Case of Mistaken Identity Callout for Reliability Stressed Palladium Coated Copper (PCC) Wires After Mold Compound Removal
Authors: Yabut Brian , Balabbo Rona , Masiris Mac
Published: November 2023

A reliable wire bond connection for integrated circuit devices is an important gauge in assuring a high-quality product. In comparison to pure copper wires, which are used for low-cost assembly but have oxidation problems, Palladium Coated Copper (PCC) bond wires were used to increase wire robustness, provide an advantage in applications at high temperatures, and meet criteria for good loop stiffness and hardness. However, decapsulated samples have been rejected by reliability engineering, and rework has been needed because wire discoloration was mistakenly identified as oxidized bond wires creating delays in producing the Failure Analysis (FA) result as well as wasting unnecessary resources in the process. The wrong callout happens 47.8% of the time. Through the investigation of chemical compositions, the topography of materials, and the evaluation of bond strength distribution, with some use of statistical analysis tools, this study explains how the issue was resolved. As a consequence, the wrong callout was effectively eliminated.
Identifying Electrically Active Dislocations in GaN and the Challenge of Cross-Correlative Physical Characterization
Authors: Scales Z. F. , Koller C. , Schoemann S. , Nelhiebel M. , Reisinger M. , Jatzkowski J. , Diehle P. , Stoeger-Pollach M.
Published: November 2023

Threading dislocations are a feature of all current GaN-based power devices and are speculated to impact their performance and reliability. The aim of this study is to cross-correlate electrical and physical characterization of dislocations using electron beam induced current (EBIC), electron channeling contrast imaging (ECCI), and transmission electron microscopy (TEM) analysis techniques. Sample preparation steps such as deposition and etching of markers via focused electron beam (FEB) and focused ion beam (FIB) turned out to be decisive for successful characterization. We describe in detail various approaches required for successful cross-correlation and present appropriate workflows.
Combining Three-Dimensional FIB-SEM Imaging and EBIC to Characterize Power Semiconductor Junctions
Authors: Stegmann Heiko , Johnson Greg , Rummel Andreas
Published: November 2023

Insulated Gate Bipolar Transistors (IGBT) and silicon carbide (SiC) based MOSFETs have become the predominantly used power semiconductors in particular in automotive applications. For failure analysis of such devices, site-specific access to subsurface fault sites is required, as is understanding their construction and junction profiles, and how the device turns on. We have applied focused ion beam-scanning electron microscopy (FIB-SEM) tomography to visualize inner structure and dopant distributions of an IGBT and of a SiC MOSFET in three dimensions (3D). Such 3D data can be used to complement 2D electron beam induced current (EBIC) measurements obtained at site-specific FIB cross-sections in these devices.
Top-Down Microelectronic Device Delayering Work Flow: Nanometer-Scale Uniformity Over a Millimeter-Scale Area
Authors: Nowakowski P. , Liu J. , Bonifacio C. , Li R. , Ray M. , Fischione P.
Published: November 2023

The ability to precisely remove the internal structures of a semiconductor device, layer-by-layer, is a necessity for semiconductor research and failure analysis investigation. Currently, numerous techniques are used, such as mechanical polishing, chemical etching, and gas assisted plasma focused ion beam (FIB) milling. However, all of these techniques have limitations in that they are unable to: (1) delayer a millimeter-scale area with nanometer-scale uniformity, (2) rapidly remove thick (>300 nm) device layers, or (3) perform automatic and accurate end pointing, which is challenging on thin (≤300 nm) device layers.
About risk management of bakery development projects
Authors:   Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russia, Aleksanov Dmitry S. , Koshelev Valery M. ,   Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russia, Sukharnikova Maria A. ,   Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russia, Chekmareva Natalya V. ,   Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russia
Published: November 2023

The bakery industry is one of the most important in the agro-industrial complex of Russia, since it serves to provide the population with one of the main food products. The development program of this industry provides for improving the quality of products by bringing manufacturers closer to consumers, as well as by increasing the flexibility of production and better adapting it to the needs of the population on the basis of the development of small-scale production, provided its profitability and competitiveness. In this regard, the industry is expected to increase the scale of development and implementation of investment projects, which necessitates their thorough analysis to identify specific risks and manage investment activities. In this article, the main attention is paid to the risks of erroneous assessment by the initiator of all the consequences of planned measures. Often, being sure of a positive result, assessors miss important circumstances, which can lead to the opposite effect. With strict adherence to the methodological recommendations and their comprehensive application, it is possible to avoid situations when the initiator of the project financially damages himself with his own decisions. In difficult cases, this requires timely and qualified consulting support.
Algorithm for determining the share of agricultural production under the application of the unified agricultural tax
Authors:   Ural State University of Economics, Yekaterinburg, Russia, Sharapova Valentina M. , Averkieva Elena V. ,   Ural State University of Economics, Yekaterinburg, Russia, Sharapov Yuri V. ,   Ural State University of Economics, Yekaterinburg, Russia, Sharapova Natalia V. ,   Ural State University of Economics, Yekaterinburg, Russia
Published: November 2023

The article describes the features of the application of the unified agricultural tax (UAT) on the example of an agricultural enterprise engaged in the processing of dairy products. The technique is considered and the algorithm for determining the share of agricultural products in the implementation of primary and secondary processing of milk is proposed. The taxation of the agricultural sector remains one of the main directions in the development of the tax policy of the Russian Federation. UAT performs mainly a stimulating function, at the same time, being one of the main economic instruments of the state to regulate the country’s agro-industrial complex. The pace of development of the agrarian sector is closely related to the size of the incoming tax in the consolidated budget of the state. The calculation of the base for calculating the unified agricultural tax is an important condition. Therefore, the algorithm proposed by the authors for determining the share of agricultural products when using the Unified Agricultural Tax is of practical importance.
Kerja Sama Guru PAI dengan Orang Tua dalam Membina Akhlak Siswa pada Generasi Alpha di Sekolah Menengah Pertama
Authors: Fadhilah Atikah , Mardianto Mardianto
Published: November 2023

This research aims to build student morality in the Alpha generation through PAI teacher cooperation with parents in building a student mentality in the Alpha generation in the Field Pahlawan Nasional. A picture of student morals and the efforts made by PAI teachers with parents to overcome the difficulties faced in building students' morals in the Alpha generation is presented in the Field Pahlawan Nasional SMP. The research method used is a qualitative one with a case study approach through observation and interview. The results of this study showed that the ethics of students in the Pahlawan Nasional School are already in accordance with the commands of God SWT. This is demonstrated by the way students interact using a language that is polite to older people as well as to peers, and are accustomed to greeting and welcoming when meeting with teachers. Students’ parents also consult directly with PAI teachers via phone and direct visits to the school to learn about their child’s moral and mental development at school. Parents should know their child’s community in the surrounding area; PAI teachers teach Islamic Religious Education, especially about building ethics in this Alpha generation; parents should also improve their Islamic education so that their children can take the example of their parents.
Якість життя дітей з малими аномаліями розвитку серця, які народилися від батьків, опромінених в дитячому віці в результаті аварії на ЧАЕС
Authors: Kondrashova V. G. , Dombrovskaya N. S.
Published: November 2023

Обстежено 162 дитини основної групи з малими аномаліями розвитку серця – МАРС (діти, які народилися від батьків, евакуйованих в дитячому віці з 30-кілометрової зони ЧАЕС) та 39 дітей контрольної групи. Якість життя дітей оцінювали за опитувальником MOS-SF-36 в русифікованій версії (модифікація Міжнаціонального центру дослідження якості життя, СПб, 1998). У дітей основної групи з МАРС встановлено системний характер патологічного процесу з втягненням не тільки серцево-судинної, а й вегетативної нервової системи, системи гемостазу, верхніх відділів травного каналу, гепатобіліарної, сечовидільної систем, опорно-рухового апарату тощо, що зумовлює поліморфну клінічну картину. Зниження якості життя дітей з МАРС, які народилися від батьків, евакуйованих в дитячому віці з 30-кілометрової зони ЧАЕС, стосується, в першу чергу, фізичного функціонування. Психологічний компонент здоров’я дітей основної групи, за винятком шкали "психічне здоров’я", достовірно не відрізнявся від показників дітей контрольної групи. Клінічний поліморфізм та зниження якості життя потребують розробки підходів до удосконалення діагностики, лікування і реабілітації цих пацієнтів.
Особливості перебігу вагітності та наслідки розродження жінок з прееклампсією в умовах природного дефіциту йоду
Authors: Fedynchuk G. V. , Maliar V. A.
Published: November 2023

Рівень прееклампсії у 2,2 раза вищий у гірських районах порівняно з низинними. У разі супутньої патології щитоподібної залози на фоні природного дефіциту йоду вагітність ускладнюється невиношуванням у 2,8 раза частіше, первинною плацентарною недостатністю – у 3,6 раза, маловоддям – у 1,5 раза, передчасним відходженням навколоплідних вод – у 1,9 раза частіше. Прееклампсія розвивається на ранніх термінах гестації та гірше піддається медикаментозній корекції, а в більшості випадків переходить у тяжчий ступінь.
Стан клітинної ланки системного імунітету хворих на травматичну хворобу
Authors: Plehutsa I. M. , Sydorchuk R. I. , Plehutsa O. M.
Published: November 2023

Вивчено вплив травми на зміну показників клітинної ланки імунітету. Обстежено 52 хворих з різними формами травматичної хвороби (ТХ) віком 18–69 років, в середньому (37,91 ± 4,28) року. Контрольну групу становили 16 хворих, яким виконано планові оперативні втручання, не пов’язані з патологією скелетно-м’язової системи. Хворих основної групи розподілено на три підгрупи відповідно до тяжкості стану. Параметри клітинної ланки системного імунітету аналізували за визначенням субпопуляцій Т-лімфоцитів методом непрямої імунофлюоресценції з використанням панелі моноклональних антитіл до CD3, CD4, CD8, CD22 рецепторів лімфоцитів та розрахунком інтегральних показників. Найбільш виражені (ІІ–ІІІ ступінь імунних порушень) зміни клітинної ланки імунітету спостерігали у хворих на ТХ з тяжким перебігом (розгорнута клінічна картина). Оперативне втручання, навіть без травми, суттєво впливало на клітинну ланку імунітету, однак у хворих на ТХ порушення імунітету, крім імунорегуляторного індексу, були суттєво більш вираженими, ніж у хворих групи порівняння.
Вивчення відповіді на терапію інгібіторами тирозинкінази у хворих на хронічну мієлоїдну лейкемію залежно від індексу Socal
Authors: Perekhrestenko T. P. , Dyagil I. S.
Published: November 2023

Обстежено 426 хворих на хронічну мієлоїдну лейкемію (ХМЛ) в хронічній фазі, які отримували лікування іматинібом. Рівень відповіді на терапію оцінювали згідно з рекомендаціями European Leukemia Net. Прогностичний індекс Socal визначали в дебюті захворювання та розраховували за відповідною формулою. Серед хворих з низьким індексом Socal (n = 150) протягом 12 міс терапії інгібітором тирозинкінази (ІТК) оптимальна відповідь досягнута у (66,7 ± 3,8) %, субоптимальна – у (20,0 ± 3,3) %, неефективність терапії відмічена у (13,3 ± 2,8) %. У групі хворих проміжного ризику (n = 160) протягом 12 міс лікування оптимальна відповідь отримана у (22,5 ± 3,3) %, субоптимальна – у (36,9 ± 3,8) %, неефективність лікування – у (40,6 ± 3,9) %. У групі високого ризику при моніторуванні протягом 12 міс терапії у (6,9 ± 2,4) % констатована оптимальна відповідь, у (19,8 ± 3,7) % – субоптимальна, у (73,3 ± 4,1) % – неефективність терапії. Виявлено статистично достовірну різницю між рівнем відповіді та індексом Socal. Отримані дані свідчать про незаперечну роль індексу Socal у формуванні відповіді на терапію ІТК.
Teachers’ and Students’ Perspectives of Using Mother Tongue in EFL Classes at a Higher Education Institution in Vietnam
Authors: Van Vu Tuan , Thanh Nhac Huong , Nguyen Binh La Minh
Published: November 2023

The use of mother tongue to teach a second language has been a controversial issue in the field of second language acquisition. This study aims to compare the effectiveness of using mother tongue (Vietnamese) to teach a foreign language (English) under the pressure of the implementation of an English-only policy at the tertiary level in Vietnam where English is taught as a foreign language. The mixed-methods approach was conducted to contrast the perspectives of 11 teachers participating in semi-structured interviews, and 255 students answering 5-point Likert scale questionnaires. These research instruments were carefully designed by the researchers adopting the factual and behavioural criteria proposed by Dörnyei and Taguchi (2009). The results show that the minimal use of Vietnamese is utilized as a necessary pedagogical tool to teach English. The empirical results propose that the English-only policy can be effective if the actions such as more English learning time, English entry tests, English materials and teaching aids with techno-facilities are seriously taken into consideration. To adopt the English-only policy in EFL classes, school administrators have to renovate the foreign language regulations while teachers must adapt their teaching methodology to meet the requirements of the learner-centered approaches.
Medical Researchers React to Peer Review: Attitudes towards and Challenges of Iranian Surgeons Publishing in English
Authors: Hassanpour Masoumeh , Atai Mahmood Reza , Babaii Esmat
Published: November 2023

Despite the recent growth of attention to English for research publication purposes, little is known about how researchers view the role of peer review in their success of publication. In light of this gap, the present study investigated Iranian surgeons’ attitudes towards peer review and the challenges they face in getting their papers published. To this end, 26 Iranian surgeons were interviewed, and the transcribed data were analyzed through thematic analysis. The results revealed that firstly the surgeons attested to the positive and negative contributions of peer review in terms of changing or unchanging their attitudes, respectively. Secondly, the authors faced a myriad of challenges related to editors, reviewers, and socio-political-linguistic factors in getting their papers published. Moreover, they associated these challenges with positive and negative effects in being connected to their career-stage development and motivating them to conduct and submit more papers. The study concludes with implications for research and practice in how researchers can craft more quality papers to enhance their chance of publication in high-quality journals.
Neuro-Fuzzy-Based Adaptive Control for Autonomous Drone Flight
Authors: Molapo Makhabane , Twala Bhekisipho
Published: November 2023

Adaptive control is the capability of a control system to modify its operation and achieve the best possible operation mode. A quadcopter is a nonlinear, unstable and under-actuated dynamic system, thus providing a challenge to control engineers in controlling and stabilising it during flight. This paper proposes the design, development, and application of an intelligent adaptive hybrid controller to control and stabilise the drone. The training data for adaptive neuro-fuzzy inference systems (ANFIS) are generated by the Linear Quadratic Regulator (LQR) under white-noise disturbance. The trained ANFIS is subsequently used to estimate the parameters of the control distribution matrix for the actual fault condition and the reconfiguration is carried out by computing new feedback gain using the pseudo-inverse technique. For the simple adaptive controller, LQR is also used to generate the desired trajectories of the reference model. In both experiments, the extended Kalman filter is implemented due to its non-linearity benefit. We demonstrate the performance of the proposed approach as a representative case study. The preliminary numerical simulation results further indicate that the proposed method is promising compared to conventional control techniques to control and stabilise a quadcopter drone.
Typical pathogens on plastic debris in downstream of Sai Gon and Dong Nai rivers: an initial observation
Authors:   Faculty of Safety Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam, Pham Duc Anh , Dao Trinh Thi Phuong ,   Ecotoxicological laboratory, Institute for Environment and Resources, Vietnam National University Ho Chi Minh city, Ho Chi Minh city, Viet Nam, Nguyen Anh Viet Hoang ,   Ecotoxicological laboratory, Institute for Environment and Resources, Vietnam National University Ho Chi Minh city, Ho Chi Minh city, Viet Nam, Tran Loc Minh ,   Ecotoxicological laboratory, Institute for Environment and Resources, Vietnam National University Ho Chi Minh city, Ho Chi Minh city, Viet Nam, Ha Bang Nguyen Khanh ,   Ecotoxicological laboratory, Institute for Environment and Resources, Vietnam National University Ho Chi Minh city, Ho Chi Minh city, Viet Nam, Nguyen Hien Thi ,   Ecotoxicological laboratory, Institute for Environment and Resources, Vietnam National University Ho Chi Minh city, Ho Chi Minh city, Viet Nam, Tran Huong Thi Thu ,   Faculty of Environment, Ha Noi University of Mining and Geology, Ha Noi, Viet Nam, Trinh Bao-Son ,   Ecotoxicological laboratory, Institute for Environment and Resources, Vietnam National University Ho Chi Minh city, Ho Chi Minh city, Viet Nam
Published: November 2023

Plastic pollution is recently receiving significant attention. In aquatic ecosystem, plastic debris can provide a habitat for microbial communities, including pathogens which might cause ad-verse impacts on aquatic animals and human health. This study, for the first time, investigated densities of typical pathogens of Coliforms and Vibrio spp. associated on plastic samples col-lected in surface water (SW), water column (WC, 5 m below surface water), and sediment (SED) at downstreams of Sai Gon river (Phu My bridge site) and Dong Nai river (Binh Khanh habour site) in the dry season of 2022. The results showed that densities of pathogens associat-ed on SW plastics were significantly higher than densities of pathogens associated on WC and SED plastics. For instance, (i) densities of Coliform on SW plastics (9.7 ± 0.1 × 106 and 180.0 ± 10.0 × 106 CFU/g plastic) were significantly higher than the ones on WC plastics (3.1 ± 0.5 × 106 and 5.5 ± 1.2 × 106 CFU/g plastic), and the ones on SED plastics (1.7 ± 0.3 × 106 and 5.7 ± 0.7 × 106 CFU/g plastic); and similarly (ii) densities of Vibrio spp. on SW plastics (4.2 ± 0.1 × 104 and 1.3 ± 0.2 × 105 CFU/g plastic) were significantly higher than the ones on WC plastics of 0.0 ± 0.0 and 7.7 ± 0.4 × 103 CFU/g plastic, and the ones on SED plastics of 2.0 ± 0.2 × 104 and 4.4 ± 0.0 × 104 CFU/g plastic, in Phu My and Binh Khanh, respectively. Other hand, densi-ties of pathogens on plastic samples colleceted in Phu My were significally lower than in the ones collected in Binh Khanh. These findings proposed that pathogen contamination on the plastic debris in downstream area is likely heavier than in upstream area of Sai Gon and Dong Nai rivers.
PENGARUH SELF EFFICACY, PARTISIPASI ANGGARAN, PENEKANAN ANGGARAN, ASIMETRI INFORMASI TERHADAP BUDGETARY SLACK
Authors: Pratiwi Galuh Asri , Muslichah Muslichah
Published: November 2023

Individual participation in the company's budgeting process can trigger the emergence of dysfunctional behavior in the form of the individual's tendency to commit budgetary slack.. The purpose of this research is to analyze the effect of self-efficacy, budgetary participation, budgetary emphasis, and information asymmetry on budgetary slack. This research adopts a quantitative approach, utilizing a survey methodology with a structured questionnaire. The analysis method includes descriptive statistics and assessments of data quality and multiple linear regression analysis. The study population and sample consist of 34 employees with structural positions involved in the budget preparation process at the Probolinggo Regency Disaster Management Agency. The findings reveal a negative correlation between self-efficacy and budgetary slack. Moreover, budget participation exhibits a positive influence on budgetary slack, along with budget emphasis. Additionally, information asymmetry is found to have a positive impact on the occurrence of budgetary slack.
Keywords: Efficacy, Participation, Emphasis, Asymetric,  Slack
FAKTOR YANG MEMPENGARUHI PURCHASE INTENTION PRODUK KECANTIKAN BERLABEL GREEN PRODUCT DIMEDIASI ATTITUDE
Authors: Purwianti Lily , Afrina Sihombing Dame , Ester Liana
Published: November 2023

The beauty industry is growing over time, giving rise to new problems, namely the accumulation of rubbish and cosmetic waste, therefore companies need to implement green marketing in the process. Generation Z really likes brands that always prioritize and implement green marketing. In this research, we examine the factors that influence Purchase Intention towards beauty products, especially green products in the city of Batam. The method used in this research is a quantitative method. Information data was obtained using a distributed survey method using data from 385 respondents who live in the city of Batam and were born in 1997-2012 or generation Z, sampling using a purposive sampling method. The tool used to manage data is Smart PLS. The research results prove: Attitude has a significant influence on Purchase Intention, Health Consciousness has no influence on Attitude, Perceived Behavioral Control has a significant influence on attitude, Price has a significant influence on Attitude and Subjective Norm has a significant influence on Attitude. Another finding is that Attitude mediates the influence of Environmental Concern, Perceived Behavioral Control, Subjective Norm on Purchase Intention, while Attitude does not mediate the influence of Health Consciousness on Purchase Intention.
Keywords: Attitude, Generation Z, Purchase Intention
An Analysis of English Students' Learning Motivation Factors in E-Learning Class during Covid-19 Pandemic
Authors: Kadapi Muhamad , Charisma Dila , Adiantika Hanif Nurcholish
Published: November 2023

This research aimed to investigate English students’ learning motivation in participating online learning through e-learning class at one senior high school in Cirebon and to know the affecting factor of students’ motivation. Qualitative research was used in this research which descriptive qualitative as research design. The source of data was the main data which in the collecting of data was obtained through observation, interview and documentation process. To analysis the data was done through there steps namely data reduction, data display and verification, then the data triangulation and source were used as a means to checking the validity of the data. The results of the research described that the students have a decrease in their motivation for learning because during Covid-19 Pandemic students are more comfortable and enthusiastic in learning by face to face learning rather than online learning through e-learning class, the students have difficulty in understanding the material, learning become less interactive, the delivery of material become less varied and the lack of the teacher in response the students was considered the dominant factors affects English students’ motivation during Covid-19 pandemic.
A különleges jogrend változásai, valamint az önkéntes tartalékos rendszer feladatai a különleges jogrend időszakában
Authors: Szerencsi Zsolt
Published: November 2023

A politikai rendszerváltás utáni 30 évben Magyarország Alkotmányában, majd 2012-től Alaptörvényében tetten érhető a különleges jogrendi tényállások folyamatos jelenléte, amelyek az ország biztonságpolitikai környezetének változásait követik le. 2022-ben racionalizálták a meglévő hat különleges jogrendi tényállást, ami háromra csökkent le, átláthatóbbá téve a jogszabályi környezetet. A Magyar Honvédség önkéntes tartalékos rendszerének fejlesztése 2010-ben új lendületet kapott, aminek következtében jelenleg több mint 11 500 fő önkéntes tartalékos katonája van a Magyar Honvédségnek. A tanulmány célja bemutatni a különleges jogrend intézményének változását, valamint hogy az önkéntes tartalékos állomány milyen feladatrendszert hajt végre a különleges jogrend időszakában.
Possible Measures to Estimate Military Airspace Capacity
Authors: Paulov Attila
Published: November 2023

Controlled airspace have a capacity value to ensure safe and efficient management of air traffic. The capacity value represents the maximum number of aircraft that can safely operate within a given airspace over a certain period of time, while maintaining the required level of safety and efficiency. From a civilian air traffic control point of view, it is crucial to have a clear understanding of the capacity value of each airspace. This information helps controllers to effectively manage the traffic flow within the airspace and avoid overloading, which can lead to delays, increased fuel consumption and potential safety risks. Additionally, knowing the capacity value of an airspace can also help controllers to make valid decisions when it comes to scheduling flights, route planning and managing air traffic during peak periods. By understanding the importance of the capacity values of an airspace controlled by a civilian provider, it is essential to have capacity values in airspace under military control as well in order to complete the given military operations successfully. In my study, I would like to present the aspects of the possible determination of the capacity value of military airspace.
A System for Diagnosing Alzheimer’s Disease from Brain MRI Images Using Deep Learning Algorithm
Authors: S. Neelavthi  , P. Arunkumar
Published: November 2023

In addition to their vulnerability, the complexity of the operations, and the high expenses, disorders of the brain are one of the most challenging diseases to treat. However, because the outcome is unpredictable, the procedure itself does not need to be successful. One of the most prevalent brain diseases in adults, hypertension, can cause varying degrees of memory loss and forgetfulness. Depending on each patient's situation. For these reasons, it's crucial to define memory loss, determine the patient's level of decline, and determine his brain MRI scans are used to identify Alzheimer's disease. In this thesis, we discuss methods and approaches for diagnosing Alzheimer's disease using deep learning. The suggested approach is utilized to enhance patient care, lower expenses, and enable quick and accurate analysis in sizable investigations. Modern deep learning techniques have lately successfully demonstrated performance at the level of a human in various domains, including medical image processing. We propose a deep convolutional network for diagnosing Alzheimer's disease based on the analysis of brain MRI data. Our model outperforms other models for early detection of current techniques because it can distinguish between different stages of Alzheimer's disease.
Enhancing Card Transaction Security through Cyber Security
Authors: Manasvi Malhar Sudershan  , Vasundhara Rao  , SVS Harshitha  , Swetha Mukka  , Sai Varshan
Published: November 2023

This paper highlights the security issues associated with credit cards and underscores the crucial role of encryption in mitigating the risk of credit or debit card data theft. Credit card encryption encompasses safeguarding the card itself, securing the terminal used for card scanning, and ensuring the protection of card information during transmission between the terminal and a backend computer system. The encryption mechanism is specifically engineered to validate and limit access to card security features. In our project, we developed a web application using VS Code, employing HTML for the frontend and PHP for the backend, and implemented AES encryption as a robust security measure.
Machine Learning-Based Detection of Phishing in COVID-19 Theme-Related Emails and Web Links
Authors: Usman Ali  , Dr. Isma Farah Siddiqui
Published: November 2023

During the COVID-19 epidemic phishing dodges increased in frequency mostly the links provided current updates about COVID-19 hence it became easy to trick the victims. Many research studies suggest several solutions to prevent those attacks but still phishing assaults upsurge. There is no only way to perform phishing attacks through web links attackers also perform attacks through electronic mail. This study aims to propose an Effective Model using Ensemble Classifiers to predict phishing using COVID-19-themed emails and Web Links. Our study comprises two types of Datasets. Dataset 1 for web links and Dataset 2 for email. Dataset 1 contains a textual dataset while Dataset 2 contains images that were downloaded from different sources. We select ensemble classifiers including, Random Forest (RF), Ada Boost, Bagging, ExtraTree (ET), and Gradient Boosting (GB). During the analysis, we observed that Dataset 1 achieves the highest accuracy rate as compared to Dataset 2 which is 88.91%. The ET classifier performs with an accuracy rate of 88.91%, a precision rate of 89%, a recall rate of 89%, and an f1 score of 89% which is better as compared to other classifiers over both datasets. Interesting concepts were found during the study.
Study on Energy Efficient Operation by ship's Trim Optimization based on Computational Fluid Dynamics
Authors: Soe Thiha  , Prof. Yongxin Jin
Published: November 2023

The prediction and optimization on resistance characteristics of marine vessels are getting important due to maritime environmental pollution, climate changes, impacts on human health near the coastal area and so on. Therefore, several methods were developed to reduce the fuel consumption of the vessel to improve the voyage performance. Among them, the trim optimization method is one of the popular methods to reduce the fuel consumption of ships. Trim optimization can be done by changing the trim by moving the cargo or ballast water and also can be applied on both new and existing ships. Moreover, this method needs not to change any structural arrangement or machinery of the vessels to apply it. Therefore, in this paper, this method was evaluated by using computational fluid dynamics with the help of commercial software Star-CCM+. Firstly, the numerical analysis of resistance data for KRISO Container Ship (KCS) in even keel were carried out and compared with experimental data from the model test to validate the results. After that, the optimum trim values for different service speeds were estimated using the calculated resistances. It is found that trim optimization at various speeds can be an effective and convenient way for vessels to decrease fuel consumption, emission of harmful substances and improve the energy efficiency by reducing the total drag force. Therefore, it could be one of the most practical ways to improve the environmental friendliness for both new and existing ships and also to fulfill the environmental related regulations.
Construction of one thousand (1000) Capacity of Poultry House
Authors: Habiba Lami Mohammed  , Rebecca Ramatu Kolo  , Ruth Jummai Ndagimba
Published: November 2023

Poultry housing is the important factor of Poultry farming and how to build Poultry pen is the common question for the producers. Basically the Poultry house is the main factor of keeping your birds healthy, fast growing and producing the maximum. The land was extremely cleared and the debris was packed with the use of Cutlass and rake. Immediately after the clearing of the grasses the setting and the marking out of the building was carried out to ease the process of construction. The foundation was dug to a depth of 0.45m and the width 0.45m to support the load of super structure above it. The site was measured to the length and the width of 21.75m by 9.2m which have the capacity of housing 1000 birds. The office measured to the length and width 2m by 7.7m and the toilet measured to the length and the width of 2m by 1.5m, the brooder and the store was measured to the length and the width of 2.55m by 6.25m, the store was measured to the length and width of 2.55m by 2.92m in order to ease the operation in the Poultry house.
Growth Performance of Growing Rabbits Fed Graded Levels of Commercial and Locally Produced Groundnut Cakes
Authors: Habiba Lami Mohammed  , Sa'aci Alhaji Zhitsu  , Mohammed Ibrahim  , Rebecca Ramatu Kolo  , Kubra Alhaji Shehu  , Ruth Jummai Ndagimba
Published: November 2023

Evaluate the growth performance of weaned rabbits fed diets containing varying levels of locally produced and commercial grade groundnut cake. Determine the nutrient digestibility of weaner rabbits fed diets containing varying levels of locally produced and commercial grade groundnut cake. Assess the carcass characteristics of weaner rabbits fed diets containing varying levels of locally produced and commercial grade groundnut cake. The results showed that final body, total body weight gain and daily weight gain and feed conversion ratio of the rabbits were significantly (P<0.05) influenced by the dietary treatments. However, total feed consumed and daily feed consumed of the rabbits were not significantly (P>0.05) different. Crude protein, crude fibre, ether extract and nitrogen free extract digestibility were significantly (P<0.05) affected by the dietary treatments. However, dry matter and ash digestibility are not influenced (P<0.05). Lungs result showed that G3 (5 % CGNC), G4 (10 % LGNC), G6 (20 % LGNC) and G7 (20 % CGNC) had no variation and similar trend was also observed on G2 (5 % LGNC), G4 (10 % LGNC), G5 (10 % CGNC) and G7 (20 % CGNC) respectively. G1 (Control) had least values throughout the treatment groups. The kidney result showed that G3, G5 and G7 were not significantly (P<0.05) different when compared. Likewise, G1 (Control), G2 (5 % LGNC), G4 (10 % LGNC), G5 (10 % CGNC) and G6 (10 % LGNC) were not varied. The result of intestine showed that G3 (5 % CGNC), G5 (10 % CGNC) and G7 (20 % CGNC) had the same intestine value than other groups. Likewise, similar trend was observed on G1 (Control), G2 (5 % LGNC) and G4 (20 % LGNC). On the other hand, lowest intestine value was recorded on G6 (20 % LGNC). Abdominal fat outcome indicated G1 (Control), G3 (5 % CGNC), G5 (10 % CGNC) and G6 (20 % LGNC) had more abdominal fat than other treatments However, least abdominal fat was observed on G2 (5 % LGNC) and G4 (5 % LGNC). Though, G4 (10 % LGNC) and 7 (20 % CGNC) were similar across the groups. It can be concluded that rabbits fed CGNC at 5 %, 10 % and 20 % had significant performance on and daily weight gain compare to those fed LGNC.The dry matter digestibility shows that there was no significant difference among the dietary groups.
Effect of Input Layer Signal Polarization on the Dynamics of Optical Neural Networks
Authors: Mariam R. Dhyaa  , Ayser A. Hemed
Published: November 2023

The polarization encoding-based optical validation and security verification approach is provided in this paper. This technique involves simulating information optically and bonding it to a polarization-encoded mask, such as a biological order or a reaction. The linear polarizers that make up the polarization-encoded mask are positioned at random. The polarization-encoded signal is the name given to this composite signal. In this simulation study, a primary optical neural network adapting a light brain technology is proposed theoretically based on a feed-forward model. Calibration of the nonlinear behavior in such a network is assumed by a semiconductor laser of the Distributed Feedback (DFB) type. Four laser networks are constructed as three influencers, followed by one embedding laser followers. Each of the influencer’s lasers has a different wavelength frequency and polarization (30-60–90) degree, respectively, and then combines the signal with WDM for the last laser. With each value, from the last values, of the polarization effect after this effect, the results indicated that these values would present the greatest weight of spikes and chaotic behavior for the uploaded virtual message.
Investigations of Weldment Joints of Exhaust Pipes Using Non-Destructive Testing (NDT)
Authors: Joseph Sekyi-Ansah  , Isaac Dadadzogbor  , Stephen Eduku  , Justine Justice Apegase Atarah  , Julius Caesar Puoza  , Adams Morro
Published: November 2023

Exhaust pipe components are especially vulnerable to accelerated degradation. Cracks are identified during the scheduled inspection and repaired by weld-filling procedure or by more invasive approaches like cutting and replacing sections. Such small defects can develop into fatigue or stress corrosion cracks in service, which can be extremely difficult to detect. The input parameter has a significant impact on weldment joint quality. Welds are checked to determine whether or not they meet specifications. The study was carried out to inspect and assess the quality of the weldment joints of exhaust pipes using non-destructive testing (NDT). An experimental approach methodology was adopted to achieve the aim of the study. Specimens of car exhaust pipes were welded and tested using some selected non-destructive testing techniques. Six (6) samples were selected for testing, with a serious fault or discontinuity in the artisan-made welded seam. The results showed that the principal fault signs were lack of fusion, surface porosity, crater fractures, linear indication, and undercuts, all of which were below the allowable standards of the AMSE B31.3 Stainless-Steel pipe code and therefore must be rejected.
Disease Prediction from Various Symptoms Using Machine Learning
Authors: Mrs. M. S. Sandhya Rani  , Guda Ankitha  , Polasani Harini  , G Ravi
Published: November 2023

The main reason to develop this system is that we need to be aware of diseases that may start with small symptoms and end up with dangerous health conditions. So, to avoid this we need to have regular health check-up’s but in our modern lifestyle there is no much time left for health check-up or any kind of diagnosis. That’s why with this human disease prediction from various symptoms we can easily check the underlying diseases just buy selecting the symptoms that people may have in the start and check the problem and all this process will happen in a span of few seconds and mainly at your convenient place. In this system we have used naive bayes algorithm to predict the disease based on the your inputs and we have used the dataset collected by the Columbia University and this system uses this dataset and algorithm to predict the most likely disease according to the entered or selected symptoms.
Study of The Effect of Solvation on Thermodynamic Parameters
Authors: Thaneshwar Subedi  , Prof. (Dr.) Ram Kumar
Published: November 2023

In the present research paper, we study about the effect of solvation on thermodynamic parameters. The main difference between reactions in solution and in the gas, phase is the formation and participation of ions. It is pertinent to consider the process of forming ions. It is pertinent to consider the process of forming ions from neutral molecules and the effect of solvent as the difference between ions in situ and in the gas, phase is the formation and participant of ions.
Fabrication and Characterization of Binary
Fe60 –Co40 Alloy by Powder Metallurgy Method
Authors: Ahmed Y. Khidhaeir  , Ismail K Jassim
Published: November 2023

Binary pure powders Fe60 –Co40 (wt%) fabricated by powder metallurgy technology ,compacted at 10Mpa and heat treated at 850,950 and 1050℃ for (1hr)sintering time, then slow cooling to RT. The aim of this paper to study and characterize the effect of heat treatments on the structural , microstructural and magnetic properties using x-ray diffraction (XRD), Scanning Electron Microscopy(SEM)coupled with Energy Dispersive x-ray spectroscopy (EDX) and the Vibration Sample Magnetometer (VSM).The structural results show that two face centered cubic (FCC) for Fe and Co respectively ,with a third phase of hexagonal(HCP) for Co element are observed clearly at all treated temperatures. The composition of elements in the Fe60-Co40 alloy are also detected from EDX analysis. The SEM resulted morphology shows the aggregation as cluster of spherical particles size at 1050℃ . The magnetic properties are increasing significantly with increasing the heat treatment until 1050℃ and above that at 1150℃ treated ,dropped suddenly.
The Electrical Conductivity of Methylene-Methyliminomethyl Formamidine Molecular Nanowire via DFT and QTAIM Theory
Authors: S. Palanisamy  , K. Selvaraju
Published: November 2023

The effect of metal electrodes on methylene-methyliminomethyl formamidine (MMF) molecule has been calculated by Density functional analysis using Gaussian09 program package. The various applied electric fields (0.00 – 0.26 VÅ-1) altered the geometrical parameters and the corresponding electrostatic and transport properties of the molecule has been analyzed. The variations in the atomic charges (MPA, NPA) of the molecule for the various applied electric fields have been compared. The HOMO-LUMO gap of the molecule for zero bias is 1.904 eV, as the field increases this gap decreases to 0.272 eV. The ESP shows the potential difference between charges accumulated of the molecule for various applied electric fields. The applied electric field polarizes the molecule, in consequence of that the dipole moment of the molecule decreases from 9.65 to 8.82 Debye. The small decrease of dipole moment shows that the molecule exhibits smaller conductivity.
Study of Fuzzy Integer Linear Programming Problems (IFLPP) and Simplex Method
Authors: Kumari Tanu Mittal  , Dr. Ashok Kumar Sah
Published: November 2023

In this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming problems with triangular fuzzy numbers. A computational method for solving fully fuzzy linear programming problems (FFLPP) is proposed, based upon the new Ranking function. The proposed method is very easy to understand and to apply for fully fuzzy linear programming problems occurring in real life situations as compared to the existing methods. To illustrate the proposed method numerical examples are solved.
A Review on Phytochemical Constituents and Pharmacological Activities of
Buchanania lanzan Sprang., Millettia peguenensis Ali., Evolvulus alsinoides L.
Authors: Riya Kadia  , Smit Bhavsar  , Nainesh Modi
Published: November 2023

In this study, Buchanania lanzan sprang.,Millettia peguenensis Ali., and Evolvulus alsinoides L. were analyzed in terms of phytochemical composition, distribution, and ethnomedicinal uses. These plants are used in Ayurveda, Unani, and Chinese medicine as ethnomedicine. Plants have numerous properties, such as antioxidants, antibiotics, anti-bacterial, anti-ulcer, anti-inflammatory, antistress, and antidiabetic. In this review, we intend to demonstrate the phytochemical constituents, as well as the traditional medicinal uses of these herbs. Based on a comprehensive review of various research papers and literature available on these three plants, as well as the present research done by us, we have tried to compile information regarding Buchanania lanzan sprang.,Millettia peguenensis Ali., and Evolvulus alsinoides L.. Various scientific databases were used to find information on the anti-diabetic properties of B. lanzan, M. peguensis, and E. alsinodes, like Scopus, PubMed, ScienceDirect, and Google Scholar. Different parts of the plants were examined for their phytochemical, toxicological, antioxidant, antidiabetic, antiinflammatory, antistress, and many more. They contain a number of phytochemical compounds, including flavonoids, saponins, alkaloids, tannins, terpenes, and glycosides, which are responsible for their ability to treat diabetes, wounds, and oxidative stress. A crude extract of the different parts has valuable bioactive properties and could have ethnopharmacological relevance for managing different kinds of diseases. These phytoconstituents can be used in the formation of drugs.
A Literature Survey on Securing Internet of Things (IoT) Devices : AES vs Simon-Speck Encryptions
Authors: Sonam Rajput  , Dr. Arvind Kaurav  , Prof. Nehul Mathur
Published: November 2023

Internet based secure data transmission is an emerging area of research, where most of the data transfer infrastructure is moving to make their service and delivery more efficient. In this paper our work approach lead behind the secure data transmission data get upload over the data server and its different user due to different ownership. AES is a well-established encryption standard that has been extensively analysed and widely adopted in various industries and applications. It is considered highly secure and has withstood rigorous cryptographic scrutiny. In this survey discuss In cryptography, encryption is the process of encoding information. This process converts the original representation of the information, known as plaintext, into an alternative form known as cipher text. Only authorized parties can decipher a cipher text back to plaintext and access the original information. Also the process of decryption of an AES cipher text is similar to the encryption process in the reverse order.
Contact Tracing Using ML
Authors: Mrs. M. S. Sandhya Rani  , D Sanjana  , N Varshitha  , M Shemith
Published: November 2023

At the time of Cororna, we are undergoing a dangerous situation due to wide spread of “Corona Virus”.If a person is found to be infected with the Corona Virus,, then It is critical to find the persons got contacted with the infected person. This can be done by Manual methods or numerical methods. Technology can be used for Contact tracing is a process that produces more efficient and accurate results than when the procedure is done manually.
Contact Tracing is onetype of the processes to identify the infected persons using machine learning. It can help to reduce the infected persons and can fasten the process of treating people who have been infected with a disease. We can save a lot of lives this way.
To find the movement of infected person, we use GPS data set that contains time and location of a person. The location data contains longitude and latitude coordinates.