bluuebunny/crossref_metadata_2025 huggingface dataset:
SU KAYNAKLARI YÖNETİMİNDE HAVZA ÖLÇEKLİ FAALİYETLER
Authors: KIMENÇE Taner
Published: September 2023

"The growing demand for water resources highlights the necessity of managing existing water resources in a comprehensive, efficient, and effective manner, while considering the protection of both water quality and quantity. To this end, the General Directorate of Water Management, Ministry of Agriculture and Forestry in Türkiye, has prepared River Basin Management Plans (RBMPs) for 11 river basins, Sectoral Water Allocation Plans (SWAPs) for 6 river basins, and Drinking Water Basin Protection Plans for 25 drinking water sources. The goal is to complete plans for all basins. This study provides a review of the activities carried out within the scope of River Basin Management Plans, Sectoral Water Allocation Plans, and Drinking Water Protection Plans. It also highlights how these plans were put into practice with the Water Management Coordination Board and how the situation in the basins was monitored through Basin Management Committees. These plans aim to reduce and prevent pollutants caused by human, industrial, agricultural, and other activities, thereby maintaining the quality of water resources and achieving “good” water status. Moreover, they promote the fair, equitable, and sustainable use of water resources by considering the needs of all living beings, human consumption, and economic production sectors while minimizing waste. The implementation and follow-up mechanisms that support basin and drinking water basin-scale water management and planning approaches include stakeholder participation."
İKLİMLER, DEĞİŞİM NEDENLERİ VE SONUÇLARI
Authors: YAŞAR Doğan
Published: September 2023

"Climates are natural phenomena that constantly change in periods of millions of years, starting from an average of ten years, and therefore keep agriculture, fisheries and energy, especially water, under control in the world. The main reasons for these changes are the movement of the plates, the rotation parameters of the earth and the changes in the energy coming from the sun. All these changes cause climates to change in both long and short periods, in dry and rainy cycles. The shortest period of these cycles is around 15-20 years, 7 to 10 years of this period are rainy (above the regional averages) and 7 to 10 years are dry (below the regional averages). Today, it is necessary to make long-term estimations as well as the ten-year oscillations that will be the basis of water resources management. The development of these forecasts in the long term is important in terms of providing the lawmakers with the information that will be the basis for the decisions they will take in order to prevent the economic losses that may arise due to drought. In this article, the effects of climatic changes on water, agriculture, fisheries, energy and air quality were discussed and suggestions were made about what should be done to turn the effects of such climatic changes into an advantage."
Geoinformatics and Extrapolation-based Applications for Estimation of Shortwave Radiation Potential as a Sustainable Energy Source: Emphasis on Smart Cities
Authors: Sardar Tariq , Raziq Abdur , Rashid Abdur
Published: September 2023

Smart cities are objectively developed for a sustainable and better life quality for their inhabitants. The present study is focused on the determination of downward shortwave radiation potential-based sites to develop smart cities based on the suitability and useable aspect of these radiations as a sustainable energy source. The downward shortwave radiation is estimated through MTCLIM-XL extrapolation with further spatial-based potential through spatial analysis of Geographic Information System (GIS) as a Geoinformatics application an applicable tool of Geoinformatics majorly helps in integration and processing of related geo-data and related critical factors for final visualization towards smart and applicable decision making. Hence, these properties make Geoinformatics a viable approach in the applications of sustainable energy estimation for the development of smart and sustainable cities. Prospectively, Geoinformatics with the integration of related critical parameters can be a reliable approach for application in the determination of suitable locations for harvesting the radiation potential as a sustainable energy source.
Magyarországi fiatalok fizetett és önkéntes munkavállalása a kulturális, az anyagi és a kapcsolati tőkéjük tükrében
Authors: Fényes Hajnalka , Mohácsi Márta
Published: September 2023

Tanulmányunk fő kutatási kérdése, hogy milyen összefüggések mutathatók ki a fiatalok társadalmi háttere és fizetett, valamint önkéntes munkavégzése között. A fiatalok társadalmi háttérét, Bourdieu nyomán, a három tőkefajtával operacionalizáltuk. Kulturális erőforrásaikat a kérdezett és szülei iskolai végzettségével, valamint a fiatal magaskultúra-fogyasztásából képzett indexszel mértük. Vizsgáltuk továbbá a demográfiai háttérben lévő különbségeket a kérdezett neme és kora szerint. Markos nyomán teszteltük azt a hipotézist, hogy az önkéntes fiatalok társadalmi-gazdasági háttere kedvezőbb, és inkább azok a fiatalok kénytelenek fizetett munkát vállalni, akik kedvezőtlenebb társadalmi-gazdasági háttérrel rendelkeznek. Kocsis alapján azt vizsgáltuk meg, hogy vajon a fizetett munkát végzők szüleinek csak az intézményesült kulturális tőkéje alacsonyabb-e, vagy az anyagi hátterük is kedvezőtlenebb. A nemzetközi- és hazai szakirodalom szerint, egyfelől egyre több fiatal végez fizetett munkát tanulmányai mellett, másfelől önkéntes munkavégzésük aránya is emelkedik a közép- és kelet-európai térségben. Másodadatelemzésünk a Magyar Ifjúság Kutatás 2020 alapján készült, ahol 15-29 éves magyarországi fiatalok alkották a 2000 fős reprezentatív mintát. Logisztikus regressziós eredményeink szerint tanulás mellett fizetett munkát inkább a férfiak és az idősebbek, míg önkéntes munkát a nők és a fiatalabbak végeztek. A kulturális tőkét tekintve, a diplomások és az egyetemisták mindkét munkaformában nagyobb arányban aktívak. Emellett a fizetett munka inkább a nem diplomás apák gyermekeire jellemző, míg az önkéntes munkavállalásra nem hat a szülők végzettsége. A saját kulturális fogyasztás, hipotézisünkkel összhangban, kis mértékben, de mindkét munkafajta vállalásának esélyét növelte. További eredményeink szerint a fizetett munkavállalók inkább a vidéki lakosokra, az önkéntes munkavállalás pedig inkább a városi lakosokra volt jellemző. Az anyagi tőkét tekintve a fizetett munkavégzésének esélye nagyobb, ha a fiatal külön kasszán él a szüleitől, az önkéntes munkavégzésé pedig akkor, ha a család szubjektív anyagi helyzete kedvezőbb. Összességében, eredményeink segíthetnek abban, hogy a tanulás melletti fizetett munkákat kínáló munkáltatók és az önkénteseket foglalkoztató szervezetek jobban be tudják azonosítani potenciális célcsoportjaikat.
ANALISIS KESULITAN BELAJAR GOI MAHASISWA PROGRAM STUDI PENDIDIKAN BAHASA JEPANG
Authors: Hosang Nooke J. , Rakian Sandra
Published: September 2023

Penelitian ini disusun dengant tujuan untuk memberikan gambaran tentang kemampuan mahasiswa program studi Pendidikan Bahasa Jepang dalam menghafal goi (kosakata) bahasa Jepang. Selain itu penelitian ini disusun untuk melihat efektivitas teknik menghafal dalam penguasaan kosa kata bahasa Jepang mahasiswa. Penelitian ini dilaksanakan di Program Studi Pendidikan Bahasa Jepang, Universitas Negeri Manado (UNIMA). Penelitian ini disusun dengan menggunakan metode eksperimen kelompok tunggal. Pengumpulan data dilakukan melalui tes dan wawancara kepada sumber data dalam penelitian ini, mahasiswa semester 2 program studi Pendidikan Bahasa Jepang tahun pelajaran 2022-2023 yang berjumlah 18 orang. Analisi data dilakukan melalui analisis data kuantitatif dan analisis data kualitatif.  Hasil penelitian menujukkan bahwa teknik menghafal dengan menggunakan rekaman dapat meningkatkan penguasaan kosakata (goi) mahasiswa program studi Pendidikan Bahasa Jepang. Hal ini terlihat dari nilai post-test (86,72) yang lebih tinggi dari pre-test (51,5). Hal ini mengimplikasikan bahwa penguasaan kosakata bahasa jepang mahasiswa dapat dibantu dengan menggunakan teknik menghafal dengan cara merekam kosa kata untuk didengarkan kembali.
Linfoma difuso de grandes células B entérico: relato de caso
Authors: Araujo Nonato dos Santos Emily Karoline , Manoel Agnes Zanotto , Manoel Poliana Zanotto , Linhares Julia Costa , Mehanna Samya Hamad
Published: September 2023

Introdução: O linfoma é uma neoplasia maligna originada de uma proliferação anormal de linfócitos que pode acometer gânglios linfáticos ou outros órgãos. Esta entidade representa cerca de 5% das doenças oncológicas e pode ser classificada em: linfoma Hodgkin e linfoma não Hodgkin. O linfoma primário gastrointestinal é raro, representando de 10% a 20% dos casos de linfoma extranodal. Sua principal origem é nas células B, sendo o subtipo linfoma difuso de grandes células B (LDGCB) a forma mais frequente. Os acometidos, normalmente, são do sexo masculino após os 55 anos.
Relato: Mulher, 57 anos, procurou atendimento médico após quadros de inapetência, dor e distensão abdominal, constipação, diarreia e vômito. Após avaliação, suspeitou-se de um quadro de abdome agudo e foi solicitada tomografia de abdome que identificou formação expansiva na alça ileal associado a suboclusão intestinal. A paciente foi submetida a uma laparotomia exploratória em que realizou-se enterectomia. A análise anatomopatológica e imuno-histoquímica identificou a lesão como LDGCB primário entérico. Após tratamento quimioterápico composto por seis ciclos de R-CHOP, foi possível a remissão da doença.
Discussão: Os cânceres primários do intestino delgado são raros, representando menos de 2% de todas as neoplasias gastrointestinais. A apresentação dos linfomas nesta região pode ser inespecífica. Por este motivo, os exames de imagem são importantes para o diagnóstico, porém, para a confirmação é necessário a análise histopatológica da lesão. O tratamento geralmente envolve quimioterapia e rituximab, além da ressecção cirúrgica do tumor, e o prognóstico depende do subtipo histológico, com piores resultados em linfomas de alto grau, como o LDGCB.
Conclusão: Linfoma primário entérico é uma condição incomum e agressiva, com sintomatologia inespecífica, por isso relatar entidades patológicas como esta é importante para informar os profissionais de saúde sobre a temática e contribuir para a difusão de conhecimento sobre o assunto.
Safety and efficacy of intravitreal anti vascular endothelial growth factor for severe posterior retinopathy of prematurity with flat fibrovascular proliferation
Authors: Maitra Puja , Prema Subramaniam , Narendran Venkatapathy , Shah Parag K
Published: September 2023

Investigating gastrointestinal (GI) motility disorders relies on diagnostic tools to assess muscular contractions, peristalsis propagation and the integrity and coordination of various sphincters. Manometries are the gold standard to study the GI motor function but it is increasingly acknowledged that manometries do not provide a complete picture in relation to sphincters competencies and muscle fibrosis. Endolumenal functional lumen imaging probe (EndoFLIP) an emerging technology, uses impedance planimetry to measure hollow organs cross sectional area, distensibility and compliance. It has been successfully used as a complementary tool in the assessment of the upper and lower oesophageal sphincters, oesophageal body, the pylorus and the anal canal. In this article, we aim to review the uses of EndoFLIP as a tool to investigate GI motility disorders with a special focus on paediatric practice. The majority of EndoFLIP studies were conducted in adult patients but the uptake of the technology in paediatrics is increasing. EndoFLIP can provide a useful complementary data to the existing GI motility investigation in both children and adults.
ADEQUACY OF FINE NEEDLE ASPIRATION CYTOLOGY FOR CONFIRMATION OF TYPE OF THYROID LESIONS
Authors: ASHFAQ F , ZAHID MM , AHMAD K , AHMED R , ALI I , MEHMOOD S
Published: September 2023

Thyroid nodules commonly arise within an otherwise normal thyroid gland. Nodular thyroid lesions are so common that they are present as solitary or multiple nodules. Fine-needle aspiration and capillary sampling are the 2 most commonly used diagnostic techniques for assessing cytopathology of thyroid nodules. Objectives: To determine the frequency of adequacy of fine needle aspiration cytology for detecting thyroid lesions in patients with thyroid lesions. Materials and Methods: 75 patients with thyroid lesions were enrolled after meeting the inclusion criteria. Informed consent and demographic information were taken. The patient's TSH level was noted. Then, FNAC was done after collecting the specimen through FNAC, and the specimen was sent to the hospital laboratory for cytology. The diagnosis was made. All the collected information was noted and entered in SPSS version 20 for analysis. Results: In our study, the mean age of the patients was 43.20±9.35 years, male to female ratio of the patients was 0.7:1. Out of 75 patients on FNAC, 50(66.7%) samples were adequate. In this study, a malignant thyroid nodule on FNAC was noted in 21(28%) patients, and a benign thyroid nodule on FNAC was noted in 54(72%) patients. Conclusion: The adequacy of fine needle aspiration cytology for detecting thyroid lesions in patients with thyroid lesions was 66.7%.
The Relationship between Meaning in Life and School Adaptation among College Students: The Moderating Effect of Family Functioning
Authors: Li Jun , Huang Jian-Hao
Published: September 2023

The present study has investigated the impact of meaning in life college students on their school adaptation and explored the conditions under which this effect can be strengthened. The moderating role of family functioning on the association between meaning in life and school adaptation has been explored in a sample of 968 Chinese college students. In this study, PROCESS was used to test the study hypothesis. The study’s findings indicate that the meaning in life among college students significantly and positively impacts their school adaptation. Additionally, it is observed that family functioning significantly and positively moderates the influence of meaning in life on school adaptation. Specifically, the effect of meaning in life on school adaptation is stronger with higher levels of family functioning among college students. The present study contributes to deepen our comprehension of the relationship between the meaning in life and school adaptation among college students and holds both theoretical and practical implications for college educators seeking to improve students’ school adaptation.
Comparison of ChatGPT–3.5, ChatGPT-4, and Orthopaedic Resident Performance on Orthopaedic Assessment Examinations
Authors: Massey Patrick A. , Montgomery Carver , Zhang Andrew S
Published: September 2023

Introduction:

Artificial intelligence (AI) programs have the ability to answer complex queries including medical profession examination questions. The purpose of this study was to compare the performance of orthopaedic residents (ortho residents) against Chat Generative Pretrained Transformer (ChatGPT)-3.5 and GPT-4 on orthopaedic assessment examinations. A secondary objective was to perform a subgroup analysis comparing the performance of each group on questions that included image interpretation versus text-only questions.

Methods:

The ResStudy orthopaedic examination question bank was used as the primary source of questions. One hundred eighty questions and answer choices from nine different orthopaedic subspecialties were directly input into ChatGPT-3.5 and then GPT-4. ChatGPT did not have consistently available image interpretation, so no images were directly provided to either AI format. Answers were recorded as correct versus incorrect by the chatbot, and resident performance was recorded based on user data provided by ResStudy.

Results:

Overall, ChatGPT-3.5, GPT-4, and ortho residents scored 29.4%, 47.2%, and 74.2%, respectively. There was a difference among the three groups in testing success, with ortho residents scoring higher than ChatGPT-3.5 and GPT-4 (P < 0.001 and P < 0.001). GPT-4 scored higher than ChatGPT-3.5 (P = 0.002). A subgroup analysis was performed by dividing questions into question stems without images and question stems with images. ChatGPT-3.5 was more correct (37.8% vs. 22.4%, respectively, OR = 2.1, P = 0.033) and ChatGPT-4 was also more correct (61.0% vs. 35.7%, OR = 2.8, P < 0.001), when comparing text-only questions versus questions with images. Residents were 72.6% versus 75.5% correct with text-only questions versus questions with images, with no significant difference (P = 0.302).

Conclusion:

Orthopaedic residents were able to answer more questions accurately than ChatGPT-3.5 and GPT-4 on orthopaedic assessment examinations. GPT-4 is superior to ChatGPT-3.5 for answering orthopaedic resident assessment examination questions. Both ChatGPT-3.5 and GPT-4 performed better on text-only questions than questions with images. It is unlikely that GPT-4 or ChatGPT-3.5 would pass the American Board of Orthopaedic Surgery written examination.
Market Day Metode Bermain Literasi Finasial yang Menyenangkan Bagi Anak Usia Dini
Authors: Afrianti Nina
Published: September 2023

Penelitian ini bertujuan untuk: (1) Mengumpulkan data jumlah guru yang melaksanakan metode bermain yang menyenagkan untuk perubahan dalam anak mengenal literasi finansial, (2) Untuk mengumpulkan data bagaimana implementasi proses metode bermain literasi finasial yang menyenagkan di satuan PAUD, (3) Mengimplementasi  Kebijakan Pemerintah untuk melaksanakan bermain yang menyenangkan sesuai kebutuhan perkembangan anak, (4) Membuat  analisis  kritis  mengenai pembelajaran Market Day merupakan Metode bermain literasi finansial yang baik untuk proses pengenalan baca, tulis dan berhitung bagi anak usia dini, (5) Membuat laporan Refleksi untuk data yang di analisis dan menginformasikan kepada pihak terkait. Dari hasil penelitian yang di lakukan dan perkembangan dari siklus yang di laksanakan terlihat bahwasannya di dalam proses pembelajaran dengan menggunakan metode bermain market day bagi anak usia dini sangat di perlukan dalam menggenalkan dasar-dasar literasi finansial dan di implementasi pada proses pembelajaran melalui  bermain, baik bermain peran, maupun kegiatan main lainnya yang akan mendukung kemenarik anak tersebut dalam menerima pembelajaran yang menyenangkan untuk meningkatkan pengetahuan dalam bidang literasi dan numerasi  bagi anak  di satuan PAUD.
Seroprevalence of Human Toxoplasmosis in Gujranwala Punjab, Pakistan
Authors: Masih Adeel , Hayat Sikandar , Bhutta Arif Mehmood , Abbas Tahir Muhammad Asif
Published: September 2023

Toxoplasmosis, transmitted by Toxoplasma gondii, is a disease caused by water pollution. Consuming undercooked food or drinking polluted water can lead to severe infections, including seizures, cerebral necrosis, and hearing loss. Objective: To find out the prevalence of human toxoplasmosis in Gujranwala Punjab Pakistan. Methods: Human blood samples were obtained at random from various locations in Gujranwala. About 5ml blood was draw by puncturing the vein using the sterilized syringe and collected in EDTA vials. Serum was separated from collected blood by centrifugation at 3000rpm for 15 minutes and was collected in serum cup. The Latex Agglutination Test Kit was used to find the presence or absence of T. gondii in the collected serum. Results: The overall seroprevalence of human toxoplasmosis was 34.25%, with the highest prevalence found in the age group of 15-25 years (41.26%) and the lowest in 65-70 years (28.57%). The prevalence was found to be 36.5% in males and 32% in females, with the highest prevalence found in the age group of 15-25 years (41.26%). The prevalence was also higher in the age group of 65-70 years (28.57%). Factors contributing to the prevalence of toxoplasmosis include employment, direct contact with pets, drinking from tape water/supply water (51.38%), mud houses (60.46%), and eating raw vegetable and undercooked meat (81.81%) as compared to cooked fully cooked meat and vegetables (13.25%). Conclusions: The study highlights the complicated prevalence of toxicity in the Gujranwala community, affecting factors like age, education, employment, water supply, housing, and nutrition, requiring targeted interventions.
Comparative Analysis of Tyrosine tRNA (MT-TY) Gene Mutation Related to Lung Cancer Patients from District Peshawar, Khyber-Pakhtunkhwa, Pakistan During 2020-2022
Authors: Abbas Zeeshan , Aslam Saira , Nabeel Muhammad , Habib Fatima
Published: September 2023

The uncontrolled growth of cells in the lungs is called lung cancer (LC). Majority of recorded LC cases is as a result of cigarette smoking. It is one of the most occurring types of cancer around the globe. Objective: To emphasizes on amplification of specific mitochondrial DNA (mtDNA) genes coding for tyrosine tRNA and to find out its association with LC patients of Peshawar. Methods: In 18 LC patients, the mitochondrially encoded tRNA tyrosine gene was studied. Samples were collected from the Institute of Radiotherapy & Nuclear Medicine (IRNUM), Peshawar, Khyber Pakhtunkhwa. The participants varied in age from 12 to 86 years. Patients had diabetes, hypertension, hepatitis C, bronchial asthma, dyspnea, hemoptysis, cardio myopathy, and stomach ulcers. DNA extraction and PCR of the tyr tRNA gene were performed. Along with gel electrophoresis. 8 samples were cleaned and sequenced. Results: The results were used for comparison with the reference DNA sequence of mitochondria i.e., revised Cambridge Reference Sequence (rCRS) Accession No 0129201. According to NCBI BLAST data, there were no variations in the nucleotide position 5826-5891 of the mitochondrially encoded tyrosine tRNA gene in LC subject. Chromatogram of tyrosine gene which was taken from UGENE software showed that there is no variation in Tyrosine gene subject sequence. Conclusions: We found no mutation in the mtDNA encoded tyr tRNA gene related to LC patient from District Peshawar Khyber-Pakhtunkhwa, Pakistan during 2020-2022.
DESIGN AND FABRICATION OF VARIABLE SPEED ABRASIVE GRINDING AND POLISHING MACHINE FOR METALLOGRAPHIC SAMPLE PREPARATION
Authors: Adebayo Abdullahi , Borisade Sunday , Ajibola Olawale , Owa Adebayo , Falemu Abiola , Omoyeni Dada , Olugbemi Eniola , Oyetunji Samuel , Oyinloye Afolabi , Barnabas Abel
Published: September 2023

The polishing machine is one of the most useful pieces of metallography equipment for the grinding and polishing of metallic materials, particularly, surfaces of specimens. This is required in order to produce a flat, smooth and mirror-like surface before determine their physical structure using microscopy. This paper reports the design and construction of a variable speed abrasive polishing machine for physical metallographic applications. The machine design and construction are principled on using locally available materials for its fabrication. The machine consists of an electrical powered motor, pulleys, belt, rotating shaft, light aluminium alloy polishing disk plate, bush bearing, pillow bearings enclosed in metal casing. The test-running and evaluation of the machine was carried out at different speeds, grits of abrasive papers and on variety of materials (metal alloys, composites, plastic, ceramics) for both dry and wet operating conditions. Testing the machine was done with and without specimen on the rotating table for grinding and polishing. The machine is simple and safe to operate and requires minimum maintenance cost. The specimen size should not be less than 25mm diameter by 10mm thickness for easy hand held polishing operation.
The Effect of Magnetic Flux Density Magnitude on Machine Performance
Authors: AWAH Chukwuemeka
Published: September 2023

The effect of magnetic flux density magnitude on electromagnetic performance of a double stator permanent magnet synchronous machine is investigated and presented in this study. Finite element analysis method is applied in computing the results. The considered machine variables are: torque, losses, efficiency and electromagnetic power. The results reveal that output performances of a given machine would be affected by the magnitude of its magnetic flux density, particularly under saturation condition. Most promising electric machine characteristics are shown to be obtained from the device when the magnetic flux density magnitude is within 1.5 to 2.0 Tesla. The impact of this flux density amplitude should be taken into consideration during the design and operation of electrical machines, for effective and efficient output delivery. Highest amount of output torque, power and efficiency of 2.61 Nm, 109.46 W and 89.22 % are obtained from the simulated model at flux density amplitude of 1.6 Tesla.
A Microcontroller Based Proportional Integral Derivative Controller for Yam Tuber Storage Chamber Temperature and Humidity Control
Authors: Ojo Ebenezer , Adewuyi Adesola , Fanifosi Josiah , Ezugwu Chinedu , Ogunkeyede Yinka
Published: September 2023

Adequate and suitable controlled atmosphere plays an important role in post-harvest yam tuber storage environment for sustaining the quality and quantity of yam tuber especially in a reputable country that produces largest quantities of yam in the world. The effect of post-harvest loss is caused due to lack of appropriate storage systems and these had been the most common problem faced by small-holder yam farmers. In order to avoid post-harvest losses and food wastages due to poor atmospheric condition in West Africa, this paper proposed a microcontroller based Proportional Integral Derivative (PID) controller for controlling the temperature and humidity of yam tuber post-harvest storage. The due technique would maintain a relatively constant temperature and humidity in a storage chamber so as to minimized high level of yam postharvest losses that has become a serious economic and food security threat in West Africa. Some mathematical equations were formulated based on temperature and humidity storage chamber models using heat and energy balance principles. The models were designed using Proteus tools and simulated in Simulink form. The parameters of PID controller were tuned with Ziegler Nichols to achieve a desirable steady state response. The system performances were evaluated in settling time, temperature and humidity set point tracking. The performance metrics were compared with existing technique of Fuzzy Logic Controller (FLC). The sensitivity of the results justified that proposed technique gave a better performance in terms of decreased in settling time, temperature and humidity.
Requirement Elicitation using Natural Language Processing
Authors: Nasim Sharoon , Zahid Zainab , Sabahat Nosheen
Published: September 2023

—This paper is the outcome of the research conductedto investigate the affective requirement engineering techniquesproposed and used for developing software projects. We haveassessed traditional methods and proposed an approach thatcovers various aspects for generating a successful project. AnNLP-based model is designed that takes input from the user andgives the output in the form of a text document after processingit. We have set a 62% similarity index to achieve the maximumrequirements of the required system. These requirements, inreturn, help the developers to develop the product with morefunctionality and productivity.
Machine Vision Approach for Identification of Four Variant Pakistani Rice Using Multi-Features Dataset
Authors: Aslam Tanveer , Muhammad Ijaz Hafiz , Ur Rehman Muzammil , Razzaq Abdul , Ali Nawaz Syed , Qadri Salman
Published: September 2023

Crops are the most important and beneficial food source in Pakistan. The demand for food has been an increase in Pakistan due to population growth. Pakistan produced 7,410 million tons of rice according to the financial year survey 2020 (FYS-2020). Pakistani rice has been cultivated in 3,304 hectares of the agricultural land zone, and it is also export around the world. Rice is also increased by 0.6% Gross Domestic Product (GDP) of Pakistan (FYS-2020). The old and manual process of rice classification is more expensive and time-consuming. In this study, we describe a machine vision approach for rice identification. We use four different varieties of rice for the experimental process such as Pakei_Kaynat, Kaynat_Kauchei, and Kauchei_Super_Banaspati and Tootaa_Kauchei (P1, P2, P3, and P4). The 100 images dataset have been used for practical work and total calculated of 400 (4 x 100) image of rice. The different process has been deploying on available datasets such as introduction, preprocessing methodology, and result discussion. A quality enhancement technique has been implementing for clarifying between rice color and shape sampling, and it is also converted color image in gray scale level. Every image has been employing six different non-overlapping regions of interest (ROI’s) and calculated a total of 2400 (6 x 400) ROI’s. Binary (B), Histogram (H) and Texture (T) features have been implemented and extract 43 features on each ROI’s and total calculated 103,200 (2400 x 43) machine learning (ML) features. Best First Search (BFS) Algorithm was used for feature optimization. Different ML classifiers are implementing for experimental process namely; Function Multi-Layer-Perception, Function SMO, Random Tree, J48 Tree, Meta Classifier via Regression and Meta Bagging. The Function Multi-Layer-Perception overall accuracy (OA) has describe better accuracy result is 99.8333%.
Algorithmic as well as Space and Time comparison of various Deep Learning Algorithms
Authors: Waheed  Javed  , Parveen Gulnaz , Bilal Sobia
Published: September 2023

Deep learning is an artificial intelligence subfield within machine learning. Now- a-days, deep learning has been used in various applications like computer vision, natural language processing, speech recognition, social network filtering, neural machine translation, etc. Deep learning, Convolutional Neural Network (CNN) is a set of deep neural networks mainly designed for image analysis. Deep learning strong ability is mainly due to multiple feature extraction. In this pa- per, we will discuss and compare AlexNet,VGGNet-16,Residual Network(ResNet-50,101,152).
Identification and Classification for Diagnosis of Malaria Disease using Blood Cell Images
Authors: Bilal Hafiz Muhammad
Published: September 2023

Machine Learning is a subfield of artificial intelligence that focuses on developing intelligent algorithms capable of learning from available data without requiring constant programming, enabling them to adapt to different environments based on current scenarios. These algorithms are crucial in making intelligent decisions and conducting thorough analyses to uncover intricate patterns concealed within the data. This study used multiple machine-learning classification algorithms to analyze patients' data based explicitly on input images containing parasite-infected and uninfected Malaria samples. AI techniques were utilised to measure the presence of parasites in the images. The image classification system was designed to accurately identify malaria parasites in blood images by generating image features related to color, texture, and cell and parasite geometry. A classifier based on SVM (Support Vector Machine) provided by Weka was employed to differentiate between parasite-infected and non-infected blood images. Through extensive experimentation, it was determined that SVM strategies exhibited significant relevance, achieving a cross-validation accuracy of 99.4% in the basic diagnosis of malaria fever. This finding holds great potential in assisting clinicians with accurate infection diagnoses.
A Fuzzy Clustering-based Approach for Classifying COVID-19 Patients by Age and Early Symptom Indicators
Authors: Haris Ahmed
Published: September 2023

The devastating illness known as Covid-19 has disrupted the lives of individuals all over the globe and left a trail of devastation in its wake. The fact that we are unable to determine the severity of illness (SOI) class of the patient during the early stages of infection is without a doubt the most challenging aspect of this disease. An accurate classifier model has to be constructed in order to ensure that patients diagnosed with Covid-19 get prompt and individualized therapy. Within the scope of this investigation, we propose a useful fuzzy clustering based model for categorizing Covid-19 patients according to their age and the severity of their early symptoms (fever, dry cough, breathing difficulties, headache, smell, and taste disturbance). This method is superior to previous hard clustering tactics in terms of reducing the number of deaths that occur among patients suffering from coronavirus and increasing the likelihood that they will recover fully.
Classifying Tweets with Keras and TensorFlow using RNN (Bi-LSTM)
Authors: Kashif Muhammad
Published: September 2023

Understanding public opinion, sentiment analysis, and subject recognition have all become more and more important as social media platforms have grown exponentially. The methodology for categorizing tweets using Keras and TensorFlow with a Recurrent Neural Network (RNN) architecture, specifically Long Short-Term Memory (LSTM) units, is presented in this research article. The method uses word embeddings and other properties to improve tweet representation, allowing the model to reliably identify specified categories and capture contextual connections. Our RNN-LSTM model beats baseline methods after extensive testing and evaluation, proving its suitability for tweet classification applications. The model's comprehension of tweet content is further improved by the incorporation of pre-trained word embeddings as well as features like emotion scores and hashtags. The approach offers a thorough framework for using deep learning methods in tweet classification, opening the door for uses cases including sentiment analysis, topic recognition, and opinion mining. By providing knowledge on the possibilities of RNN-LSTM models and their use in comprehending and analysing social media data, this research makes a contribution to the area. The results emphasise how crucial it is to take temporal dynamics and contextual factors into account while handling tweet classification jobs. Future research may concentrate on researching other pre-trained embeddings, investigating advanced RNN architectures, and solving issues with noisy and biassed twitter data. Overall, the large volume of information published on social networking sites like Twitter may now be better understood and analysed thanks to this research.
The Use of the Adaptive Governance Model in the Implementation of Information Disclosure in the Government of South Sumatra
Authors: Amrullah  , Sobri M. , Lionardo Andries , Putra Raniasa
Published: September 2023

Information is a basic need for everyone both in order to develop personal qualities and in order to live their social life. The information needs of the people of South Sumatra are regarding programs carried out by the Government and also other information related to the needs of the people of South Sumatra. Disclosure of information is one of the ways in which the Government of South Sumatra provides information rights to the public. This research uses a descriptive qualitative method where all information is not in the form of numbers but explanations. The conclusion of the research is that the Government of South Sumatra uses three (three) approaches in implementing adaptive governance, namely collaboration, flexibility, and learning.
Investigating the reproductive performance of gilt progeny entering the breeding herd
Authors: Craig J , Collins C , Athorn R , Dunshea F , Pluske J
Published: September 2023

Objective: To quantify the performance of gilt progeny in the F1 breeding herd at a large swine farm in New South Wales, Australia (Rivalea Australia Pty Ltd). `Materials and methods: Performance data on all gilts selected for entrance to the commercial breeding herd from January 2014 until December 2015 were included in this study. Comparisons were made between gilt and sow progeny in terms of the proportion of animals to reach first breeding, performance to parity 4, and longevity to parity 3. Results: Gilt progeny were lighter than sow progeny at each live weight measurement (P < .001), and had a higher P2 backfat level at selection than sow progeny (P = .02) at the same live weight. Gilt progeny selected into the breeding herd reached first breeding before 220 days of age less often than sow progeny (P < .001) and were 1 day older at first breeding (P = .003). Sow progeny had a lower farrowing rate from this breeding (P < .001). After the first breeding, there were few differences in performance indices between groups for the first four parities. There were no statistically significant differences between the groups in terms of longevity indices. Implications: Fewer gilt progeny may be selected to enter the breeding herd; however, after farrowing their first litter, selected gilt progeny perform just as well as sow progeny. While it is recommended to continue to include gilt progeny in the replacement-gilt selection process, further research in this field is recommended.
Influenza outbreak causes reduction in semen quality of boars
Authors: Lugar Drew , Ragland Darryl , Stewart Kara
Published: September 2023

An influenza outbreak occurred at Purdue University’s swine barn, resulting in infection of 28 boars with influenza A virus (H3N2) and causing the death of two boars. The 28 boars, approximately 35 weeks of age, were enrolled in a study at the time of the outbreak and the case report herein describes the effects of the unintended influenza outbreak on sperm production. Semen was collected from the boars once a week and evaluated for total sperm production and concentration, semen volume, and relative motility. Compared to previous collections, total sperm production was substantially decreased (26% reduction) approximately 4 weeks after the first observed clinical signs and remained low for 6 subsequent weeks. Semen production then returned to pre-outbreak levels and was maintained for the duration of the observation period. Sperm motility and percent normal sperm production were also slightly reduced 2 weeks after infection
Рішення щодо зобов’язуючої інформації щодо митної вартості: передумови запровадження у законодавство України
Authors: Шевченко Е. А. , Крилов Д. Б.
Published: September 2023

За підсумками дослідження, передумови та перспективи запровадження у законодавство України рішення щодо зобов’язуючої інформації щодо митної вартості, насамперед, зазначимо, що рішення щодо зобов’язуючої інформації визнається інструментом митного адміністрування, покликаним забезпечити спрощення та пришвидшення митних процедур й окремих митних формальностей з одночасним підвищенням якості митного контролю й ступеня послідовності діяльності митних органів, а також сприяти передбачуваності зовнішньоекономічних операцій. У міжнародних рекомендаціях з оптимальними моделями організації та правовими стандартами митного адміністрування однозначно визнається доцільність забезпечення декларантам можливості звертатись до митних органів за рішення щодо зобов’язуючої інформації щодо митної вартості товарів, а також викладаються ключові матеріально-правові та процедурні аспекти порядку звернення за таким рішенням та його прийняття. Також, визначені Урядом України перспективи вдосконалення митних аспектів транскордонного переміщення товарів включають позитивне вирішення питання про розширення спектру питань, з яких може видаватись рішення щодо зобов’язуючої інформації. Більше того, уповноваження митних органів приймати за заявою декларанта рішення щодо зобов’язуючої інформації щодо митної вартості, яке визначає відповідний метод або критерії митної оцінки та їх застосування для визначення митної вартості товарів за певних обставин, є обов’язковою частиною гармонізації національного законодавства України із митним законодавством Європейського Союзу для набуття у ньому повноправного членства. Також, у багатьох державах із розвиненою системою митного адміністрування рішення щодо зобов’язуючої інформації щодо митної вартості є інструментом попереднього визначення митними органами умов транскордонного переміщення товарів (Казахстан, Канада, Сінгапуру, Сполучене Королівство, Японія тощо).
Зарубіжний досвід діяльності суб’єктів владних повноважень щодо використання електронних доказів в адміністративному судочинстві
Authors: Кобрусєва Є. А. , Марченко О. В.
Published: September 2023

Розглянуто зарубіжний досвід діяльності суб’єктів владних повноважень щодо використання електронних доказів в адміністративному судочинстві. У статті охарактеризовано зарубіжний досвід електронних доказів в адміністративному судочинстві. Вивчено рекомендації Ради Європи та позитивний зарубіжний досвід стосовно електронних доказів на прикладі Сполучених Штатів Америки, Сполученого Королівства Великої Британії, Республіки Польща, Французької Республіки, Федеративної Республіки Німеччина, країн Карибського басейну, Тихоокеанських держав, Литви, Туреччини. Виокремлено основні напрямки запозичення позитивного зарубіжного досвіду для України: 1) створення стандартів електронних доказів, які будуть встановлювати вимоги до впровадження та функціонування систем управління інформацією, включаючи зберігання та передачу інформації; 2) прийняти типове законодавство стосовно електронних доказів; 3) забезпечення відповідності електронних доказів праву на справедливий суд, яке закріплено у ст. 6 Європейської конвенції з прав людини; 4) запровадити при розгляді адміністративних справ використовувати штучний інтелект, який може ґрунтуватися на повторювальних моделях фактичних сценаріїв та юридичній класифікації спорів, або якнайменш для аналізу даних, стосовно наявності або відсутності підпису, та розгляду позову за його відсутності, тобто повернення, оскільки був поданий через систему електронного судочинства у непередбачуваний законом спосіб; 5) забезпечення дотримання принципу верховенства права та неприпустимість прийняття електронних доказів, які були отримані незаконним способом; 6) враховувати судам позицію викладену у Рекомендаціях Комітету Європи стосовно того, що суди не повинні заперечувати юридичну силу електронних доказів лише тому, що вони не містять електронного підпису; 7) державні органі мають забезпечувати зберігання у конфіденційності персональні дані, та забезпечувати заходи для їх збереження; 8) запровадити зберігання електронних доказів із використанням новітніх методів, а саме замінити агентства з кібербезпеки, сертифікацією часових позначок із системою блокчейн, оскільки друк, блокування хмарних або серверних сховищ - залежать від дій оператора чи адміністратора.
Encryption and Tokenization of Card Security using Cryptographic Algorithms
Authors: JOURNAL IJSREM
Published: September 2023

There are several alternative strategies that can be used when utilising cryptography to encrypt card information. Encryption's main objective in this situation is to prevent sensitive card information from being intercepted and used fraudulently, including the card number, expiration date, and security code. Using SSL (Secure Socket Layer) or TLS (Transport Layer Security), which establishes a safe, encrypted connection between a website or app and the server where the card information is stored, is one popular method of encrypting card information. This is frequently used for online transactions, such as when paying with a mobile app or buying something from an e-commerce website. Using end-to-end encryption is an alternative strategy that guarantees that card information is encrypted from the time it is entered into a device, website, or app until it reaches its destination. This is frequently used with tokenization, which exchanges the sensitive card information for a singular token that can be safely kept and used for upcoming transactions without disclosing the actual card data. Additionally, a number of cryptographic protocols and algorithms, including AES (Advanced Encryption Standard), RSA (Rivest-Shamir-Adleman), and ECC (Elliptic Curve Cryptography), can be used to encrypt card information. These algorithms and protocols jumble the data using intricate mathematical computations so that it cannot be decoded without the right decryption key.
Problems and Challenges of Cloud Kitchen-A Study with Reference to Mangalore City
Authors: JOURNAL IJSREM
Published: September 2023

A cloud kitchen is a kitchen that focuses exclusively for online food delivery services. These kitchens do not offer dine-in facilities. The orders are received through online and the food is then sent to the customer through online food aggregators or directly in the form of takeaway. In the present study, the researchers tried to analyze the problems and challenges of cloud kitchen with reference to Mangalore City Corporation. The data for the study were gathered from 21 respondents. The data so collected are analysed with the help of statistical tools and techniques. Chi-square χ2 goodness of fit test is used for testing the hypotheses. Majority of the respondents perceived that fluctuation of price of vegetables and other inputs is a challenge in determining the price. Employee’s ethics and their culinary skills are the important factors for the improvement of business. Keywords: cloud kitchen, payouts, online food aggregators
Retoriske konstruksjoner av ansvarlighet
Authors: Hope Jeanette
Published: September 2023

Rhetorical constructions of responsibility: Service users’ accounts in their digital dialogues with the Norwegian Labour and Welfare Administration
The goal of the Norwegian Labour and Welfare Administration (NAV) for increased user participation and active service users entails a responsibility for NAV service users to participate actively in planning and carrying out activities. This implies that the service users are assigned a responsibility to share information about their personal limitations and needs. They do this through accounts in the interaction with their NAV counsellor. To an ever-increasing extent, the interaction between service users and counsellors in NAV takes place in a digital communication channel. Using rhetorical discourse analysis of written digital user dialogues in NAV, I explore how service users and counsellors negotiate responsibility for planning and decisions related to the service user’s activities. Through rhetorical accounts such as character work, legitimization, and excuses, service users position themselves as more or less responsible users. The analysis shows that the service users express both a moral and a legal responsibility, and they balance this responsibility by extending the category of ”service user” in their accounts. The way that service users balance their responsibility can be understood as an expression of uncertainty related to their duties and their rights in relation to NAV.  The article shows that a pathway to understanding service user participation may be to investigate in greater depth how moral and legal responsibility is expressed in digital interaction.