bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengelolaan Lahan Parkir Untuk Peningkatan Pendapatan Asli Daerah
Authors: Teturan Yohanis Endes , Oja Hubertus
Published: June 2023

Wamanggu Market as it should provide adequate parking, but the fact is that Wamanngu Market has not been able to provide adequate parakir land for vehicles of people visiting the market. The purpose of the research study was to formulate a parking lot management model at the Wamanggu Market to increase local income. The research method uses a qualitative approach. Data collection techniques: observation, interviews, documentation, and FGD, while data analysis uses Data reduction, Data Display, Data verification. The results showed that the parking lot at Wamanggu Market has not been able to accommodate vehicles to park in the parking lot provided so that many people park their vehicles outside the market area, including on the road body around the market area. This has an impact on pad being less than optimal because vehicles that park outside the market area are not subject to payment of parking levies. The volume provided has not been balanced with the number of vehicles that want to park, parking facilities in the form of guard posts, and portals are no longer functioning and do not have parking signs. The density of vehicles using the parking lot makes parking attendants have the ability to arrange vehicles to use the parking lot, of course, it will have an impact on the parking levy. The need for parking space has been converted to a place for selling merchants so that it needs integrated parking management between the needs of parking spaces and the parking facilities provided.v
Peran Pemerintah Desa dalam Pengembangan Ekowisata Danau Jemelak
Authors: Nikodimus Nikodimus , Apriani Gradila , Atong Petrus
Published: June 2023

Ekowisata adalah salah satu cara pembangunan berkelanjutan yang melibatkan masyarakat lokal. Peranpemerintah desa sebagai ujung tombak pembangunan sangat diperlukan dalam pengembangan ekowisata.Penelitian ini bertujuan untuk mengetahui persepsi, pembangunan infrastruktur dan kebijakan Desa JeroraSatu Kecamatan Sintang Kabupaten Sintang Provinsi Kalimantan Barat dalam mendukungpengembangan Ekowisata Danau Jemelak. Metode penelitian yang digunakan adalah metode kualitatifdeskriptif. Data dikumpulkan menggunakan angket, wawancara mendalam, dan dokumentasi. Analisisdata menggunakan analisis deskriptif. Hasil penelitian menunjukan bahwa persepsi Pemerintah DesaJerora Satu terhadap ekowisata Danau Jemelak masih tergolong sedang namun disisi lain mereka yakinbahwa ekowisata akan dapat menjadi salah satu penyolong pendapatan asli desa dimasa depan.Pembangunan infrastruktur penunjang ekowisata Danau Jemelak masih belum ada namun denganpartisipasi semua pihak, penyediaan infrastruktur dapat tercukupi. Kebijakan pemerintah desa belum adayang mendukung pengembangan ekowisata Danau Jemelak, namun kebijakan adat yang sudah ada sejaklama dapat menjadi dasar dalam mendukung kelestarian wilayah Danau Jemelak dan aliran sungai disekitarnya. Pemerintah desa Jerora Satu sedang gencar dalam memberikan penyadaran terhadap wargaakan manfaat menjaga lingkungan salah satunya sebagai destinasi ekowisata yang digunakan sebagaisumber pendapatan masa depan masyarakat.
Efektivitas Program Keluarga Harapan Dalam Penanggulangan Kemiskinan
Authors: Lubis Ema Fitri , Zubaidah Evi
Published: June 2023

Persoalan kemiskinan masih menjadi tantangan terbesar bagi bangsa Indonesia saat ini. Karakterkemiskinan itu sendiri tidak lepas dari persoalan rendahnya tingkat kesehatan, pendidikan,dan nilaigizi balita, dll. Berbagai kebijakan telah di gulirkan pemerintah salah satunya Program KeluargaHarapan dari Kementerian Sosial.Penelitian ini bertujuan untuk mengetahui efektivitas EfektivitasProgram Keluarga Harapan Dalam Penanggulangan Kemiskinan dan faktor kendala yang ditemui diKecamatan Tenayan Raya Kota Pekanbaru. Metode yang digunakan dalam penelitian ini adalahkuantitatif dengan pendekatan deskriftif. Hasil penelitian dari jawaban responden menunjukkan bahwaefektivitas program keluarga harapan dilihat dari kategori efektif, cukup efektif, dan kurang efektif.Rata-rata jawaban responden berada pada kategori efektif dengan uraian untuk Indikator pendekatansumber (input) yaitu 72 % dari 30 responden, ini menunjukkan bahwa program PKH yang dilaksanakandi Kecamatan Tenayan Raya dari segi sumber daya sudah sesuai dengan tujuan program. Indikatorproses yaitu 71 %, dimana alur kerja penyaluran bantuan PKH sudah sesuai dengan Standar OperasionalProsedur. Indikator sasaran (output) yaitu 77 %, ini menunjukkan bahwa para pemanfaat program sudahmemenuhi kriteria yang layak sebagai penerima program. sedangkan yang menjadi faktor penghambatefektivitas program keluarga harapan ini yaitu kuantitas/jumlah uang yang diterima pemanfaat belummemenuhi keperluan dari masyarakat, koordinasi antara petugas program, dan faktor pengawasan.
Pemberdayaan Masyarakat Pesisir Perbatasan dalam Rangka Peningkatan Kesejahteraan Masyarakat
Authors: Irawan Andri , Tanzil Laurensia
Published: June 2023

Pada dasarnya telah banyak program bantuan kemiskinan diberikan kepada masyarakat pesisir, namun kenyataannya belum berhasil mengentaskan mereka dari garis kemiskinan. Kurangnya keterlibatan masyarakat dalam setiap program dianggap sebagai salah satu penyebab kegagalan program-program yang diberikan oleh pemerintah. Tujuan penelitian ini untuk mendeskripsikan dan menganalisis program pemberdayaan masyarakat pesisir perbatasan serta faktor-faktor yang mempengaruhinya. Jenis penelitian deskriptif dengan pendekatan kualitatif. Hasil penelitian menunjukkan tiga indikator yang digunakan sebagai alat ukur dalam menganalisis pemberdayaan masyarakat pesisir perbatasan yaitu indikator tahap penyadaran dan pembentukan perilaku sudah dilaksanakan dengan baik lewat adanya sosialisasi. Akan tetapi yang disayangkan adalah pendampingan masih kurang rutin dilakukan. Indikator kedua tahap transformasi kemampuan dilakukan dengan memberikan pelatihan terkait tentang teknik pengolahan ikan, manajemen keuangan dan pemasaran. Sedangkan indikator ketiga tahap peningkatan kemampuan intelektual dibuktikan dengan meningkatnya pendirian usaha baru masyarakat kampung terkait dengan kegiatan perikanan serta ada peningkatan sekitar 43 % dalam masyarakat yang telah memperluas usahanya baik untuk kegiatan penangkapan maupun pengolahan ikan. Faktor penghambat dalam pelaksanaan program pemberdayaan masyarakat di Kampung Tomer adalah masih rendahnya kualitas sumber daya manusia, kurangnya pendampingan dari pemerintah, dan berkaitan dengan anggaran. Sedangkan factor pendukungnya adalah sistem sosial budaya masyarakat setempat, sumber daya alam yang melimpah, serta peran aktif masyarakat lokal.
Quantum Computers and Algorithms: A Threat to Classical Cryptographic Systems
Authors:   Department of Cyber Security, Elizade University, Ilara Mokin, Nigeria, Tom Dr. Joshua J. , P. Anebo Dr. Nlerum ,   Department of Computer Science, Federal University Otuoke, Nigeria, Onyekwelu Dr. Bukola A. ,   Department of Cyber Security, Elizade University, Ilara Mokin, Nigeria., Wilfred Adigwe ,   Department of Computer Science, Delta State University of Science and Technology, Ozoro, Nigeria., E. Eyo Richard ,   IT/Support Specialist, Riverstrong, Texas, USA.
Published: June 2023

Contemporary cryptographic algorithms are resistant to the strongest threats to cybersecurity and high-profile cyber-attacks. In recent times, information security scientists and researchers had developed various cryptographic schemes that defeated attacks using the most sophisticated (in terms of processor speed) classical computer. However, this resistance will soon erode with the arrival of quantum computers. In this paper, we profiled quantum computers and quantum algorithms based on their widely believed threat against currently secure cryptographic primitives. We found that Grover’s and Shor’s quantum-based algorithms actually pose a threat to the continued security of symmetric cryptosystems (e.g. 128-bit AES) and asymmetric (public key) cryptosystems (e.g. RSA, Elgamal, elliptic curve Diffie Hellman (ECDH), etc.) respectively.We discovered that the source of the algorithms’ cryptanalytic power against the current systems, stems from the fact that they (Grover and Shor) both equipped their respective algorithms with a quantum circuit component that can execute the oracle in parallel by applying a single circuit to all possible states of an n-qubit input. With this exponential level of processing characteristic of quantum computers and quantum-based algorithms, it is easy for the current cryptosystems to be broken since the algorithms can existentially solve the underlying mathematical problems such as integer factorization, discrete logarithm problem and elliptic curve problem, which formed the basis of the security of the affected cryptosystems. Based on this realization and as part of our readiness for a post quantum era, we explored other mathematical structures (lattices, hashes, codes, isogenies, high entropy-based symmetric key resistance, and multivariate quadratic problems) whose hardness could surpass the cryptanalytic nightmare posed by quantum computers and quantum-based algorithms. Our contribution is that, based on the findings of this research work, we can confidently assert that all hope is not lost for organizations heavily relying on protocols and applications like HTTPS, TLS, PGP, Bitcoin, etc., which derived their security from the endangered cryptosystems.
"TO STUDY THE EFFECT OF MAGNESIUM SULPHATE NEBULISATION AND KETAMINE
NEBULISATION FOR PREVENTION OF POSTOPERATIVE SORE THROAT FOLLOWING I-GEL
INSERTION DURING GENERAL ANAESTHESIA".
Authors: S. K Amithkumar , Kumar Santosh , B. M Reshma
Published: June 2023

Post operative sore throat (POST) is a frequent complaint with I-gel for general anaesthesia. Irritation and inflammation of the airway are considered to be the causes of POST. Although considered a minor complication it may cause significant patient morbidity, dissatisfaction, and increased length of (1) hospital stay thus should be prevented
STUDY OF PATHOLOGICAL CHANGES IN THE CONJUNCTIVA AND CORNEA USING IMPRESSION CYTOLOGY IN CASES OF PTERYGIUM: A CROSSSECTIONAL STUDY CONDUCTED AT ONE OF THE TERTIARY CARE CENTERS OF NORTHERN INDIA
Authors: Snehal Vinay Singh , Kumar Singh Vijay
Published: June 2023

Background: Pterygium is a benign, proliferative, degenerative condition of conjunctiva and sub conjunctival tissue that has the potential to impair vision. Impression cytology is the process of removing the outermost layers of ocular surface epithelium using cellulose acetate filter paper. There are various methods to investigate Pterygium, we carried out this study through impression cytology. This was a cross-sectional study carried out in Materials and Methodology: Career Institute of Medical Sciences, Lucknow including 100 patients with pterygium. From each eye, 4 impressions were collected through impression cytology, which included 2 conjunctival and 2 corneal impressions to study thecytological changes occurring throughout inter-palpebral ocular surface in the eye with pterygium. The cytology Results: of the surface cells overlying the pterygium exhibits squamous metaplasia, goblet cell hyperplasia, and keratinization of the epithelial cells. These cytological changes are not only seen over pterygium conjunctiva and cornea around the pterygium but they are also seen over the unaffected sites of the interpalpebral conjunctiva and cornea in the same eye. Conclusion: Pterygium is a graded series of the ocular surface variations occurring through out the inter-palpebral bulbar conjunctiva and cornea, with most advanced variation shappening directly over pterygium surface, confirming that pterygium is certainly anocular surface disorder. This study suggests that impression cytology represents a fast,cost-effective,and non-invasive tool for understanding the pathology of pterygium.
“AETIOLOGY OF LEUKOCORIA IN YOUNG PATIENTS ATTENDING TERTIARY CARE CENTRE - A CROSS-SECTIONAL STUDY”
Authors: Dubey Sadhana , Kujur Swati , Salam Jayshree , Pandey Nidhi
Published: June 2023

Context: Leukocoria is defined as an abnormal pupillary light reflection that usually results from an intraocular abnormality and is seen most often in children. The purpose of this study is to identify the common causes leading to white pupillary reflex in the tertiary care centre, and once found, that will help in timely intervention to minimize morbidity and mortality. To study the aetiology of leukocoria in young patients attending tertiary c Aim: are centres. Settings and Design: It was a Cross-sectional observational study conducted in the Department of Ophthalmology, Pt. J.N.M. Medical College, Raipur from October 2021 to December 2022 : 60 Patients up to 30 years, Methods and Material with the complaint of white pupillary reflex coming to the Department of Ophthalmology, Dr. BRAMH Raipur, during the study duration and willing to participate in the study were included in the study. Interviews and examinations of all patients were done which included BCVA, Slit Lamp Examination, Fundus Examination, Ancillary tests, and imaging. Patient with any corneal pathology and Previous history of ocular surgery. The convenience Statistical Analysis Used: sampling method was used. In our study, 90 % of the patients presenting with leukocoria had cataract Results: s. 5 % of patients had PHPV with RD, 1.6% with Absolute glaucoma with RD, 1.6% with Retinoblastoma, and 1.6% with total RD. Among Cataract, the most common cause was congenital/developmental cataract comprising 79.6% of total patients presenting with cataract with most of the population present in the 0-5 years of age group.15% had Traumatic cataract,1.8% with metabolic cataract and 1.8% with complicated cataract. In patients diagnosed with traumatic cataract, there was a significant male predominance presenting 90% of the traumatic cataract population. Conclusions: Leukocoria is a crucial finding that requires early attention and prompt diagnosis of the underlying disease. A thorough examination is required as a delay in diagnosing the etiology can result in eyesight loss, death, or both.
Achieving Low-Noise, High-Bandwidth, Nanoscale-Resolution Position Sensing with GMR Sensors
Authors: Joseph Tim John , Kartik V
Published: June 2023

Nanometer-resolution position sensing is a critical requirement in several precision applications such as Atomic Force Microscopy (AFM), especially over large bandwidths. Giant magnetoresistance-based (GMR) sen?sors have shown great promise for this; however, they exhibit significantly higher 1/f noise even over large band?widths, which limits the achievable SNR. Therefore, the sensing system needs to be designed at the system-level in order to minimize excess intrinsic noise generation and transmission, as well as external noise pickup. This article, both analytically and experimentally, investigates the noise characteristics of the GMR sensor and its readout circuit components, and their effect on SNR. A general process for designing a low-noise high-bandwidth readout circuit, applicable not just to GMR sensors but also to other high?1/f-noise sensors, is presented. A resolution of 2.5 nm over a bandwidth of 100 kHz is demonstrated on an AFM nanopositioner, a ten-fold improvement over previously reported performance and comparable to other state-of?the-art, but more complex, position sensing schemes. The readout scheme is simple to implement using COTS com?ponents and easily extendable to higher bandwidths, unlike other schemes, such as modulation/demodulation, where the requirement for increasingly higher carrier frequencies renders further improvements in bandwidth impractical.  
A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks
Authors: Jackson Kyle , Duric Zoran , Engdahl Susannah , Santago Anthony , Sikdar Siddhartha , Gerber Lynn H.
Published: June 2023

There is growing interest in the kinematic analysis of human functional upper extremity movement (FUEM) for applications such as health monitoring and rehabilitation. Deconstructing functional movements into activities, actions, and primitives is a necessary procedure for many of these kinematic analyses. Advances in machine learning have led to progress in human activity and action recognition. However, their utility for analyzing the FUEM primitives of reaching and targeting during reach-to-grasp and reach-to-point tasks remains limited. Domain experts use a variety of methods for segmenting the reaching and targeting motion primitives, such as kinematic thresholds, with no consensus on what methods are best to use. Additionally, current studies are small enough that segmentation results can be manually inspected for correctness. As interest in FUEM kinematic analysis expands, such as in the clinic, the amount of data needing segmentation will likely exceed the capacity of existing segmentation workflows used in research laboratories, requiring new methods and workflows for making segmentation less cumbersome. This paper investigates a variety of reaching and targeting motion primitive segmentation methods in two different domains and how to evaluate these methods. This work finds that most of the segmentation methods evaluated perform reasonably well given current limitations in our ability to evaluate segmentation results. Furthermore, we propose a method to automatically identify potentially incorrect segmentation results for further review by the human evaluator.
QRAGE – Simultaneous multiparametric quantitative MRI at ultrahigh field strength
Authors: Zimmermann Markus , Abbas Zaheer , Sommer Yannic , Lewin Alexander , Ramkiran Shukti , Oros-Peusquens Ana-Maria , Yun Seong Dae , Shah N. Jon
Published: June 2023

QRAGE is a novel imaging sequence and reconstruction method for the simultaneous mapping of multiple quantitative MRI parameters, including water content, T1, T2*, and magnetic susceptibility at ultrahigh field strength. QRAGE employs a novel ME-MPnRAGE sequence that acquires 171 contrast images at different inversion and echo time points, enabling accurate and precise parameter estimation. It further incorporates a novel model-based reconstruction method, MIRAGE2, that leverages prior knowledge of temporal signal evolution represented as damped complex exponentials by minimizing local Block-Hankel and Casorati matrices. Parameter maps are derived from the reconstructed contrast images through postprocessing steps.
A Brief History of Blockchain Interoperability
Authors: Belchior Rafael , Süßenguth Jan , Feng Qi , Hardjono Thomas , Vasconcelos André , Correia Miguel
Published: June 2023

Blockchain interoperability conflates the need for distributed systems to communicate with third- party systems without the existence of a canonical chain or orchestration layer. As there is not “a chain to rule them all” (due to reasons such as performance, privacy, and market forces), these distributed systems rely on exchanging data and value across network boundaries. Interconnected systems achieve a higher value than the sum of their parts, similar to how the Internet emerged as a set of isolated Local Area Networks (LANs) - and, by force of surprising synergies, such networks fundamentally transformed society, forever. Concurrently, in the last decade, we have witnessed the astonishing development of blockchain technologies, which seem more connected than ever: via bridges [13, 15, 16, 31], oracles [45], and other interoperability mechanisms [4, 9, 17, 48, 89]. These recent developments have, slowly but steadily, contributed to the improvement of the scalability of blockchain networks, as well as providing new functionality and use cases [66], but there is still a long way to go until mass adoption. In this paper, we will dive into the rabbit hole of blockchain interoperability and explain why it is needed, what has been done in the last decade, and where it is going. 
A Comparative Study of Forecasting Problems on Electrical Load Timeseries Data using Deep Learning Techniques
Authors: Battula Harish , Panda Debasmita , Konda Krishna Reddy
Published: June 2023

This work presents a comparative study of forecasting problems with electrical time-series load demand data using deep learning models ANN-MLP, RNN-LSTM, and 1D-CNN for short-term and medium-term electrical load forecast using different timestamps data generated from the source data. Through analysis found that multiple timestamps ahead prediction (MTAP) using 1D-CNN show better results with reduced MAPE. 1D-CNN is selected as the best model for both short-term 1-day ahead load forecast using 1-hour timestamp data with MTAP methodology resulting in mean MAPE 4.62% with standard deviation 0.9 and for mid-term 1-year ahead load forecast using 1-month timestamp data with STAF methodology resulting in MAPE 1.45% with standard deviation 0.34. A simulation study performed on the monthly electricity demand time series for 35 European countries confirmed the high performance of the selected 1D-CNN model with MAPE 4.6% and its comparison with the other hybrid deep learning models using the three forecasting methodologies validates the failure of STAP methodology by comparing with STAF methodology results in the real-time forecast and superiority of MTAP methodology in the real-time forecast.

In this paper, the dataset we adopted contains the hourly electrical consumption profile of 35 European countries, from which Austria country load consumption profile from 1 January 2006 to 31 December 2015 is considered for the preliminary analysis. In this preliminary analysis, we will compare the 9 possible forecasting problems discussed earlier on the basic 3 deep learning models ANN-MLP, RNN-LSTM, and 1D-CNN and conclude which data set and model will be best suitable for short and mid-term load forecasting problems. The complete data set is discussed in chapter V. The data were obtained from the ENTSO-E repository (www.entsoe.eu).
A Survey on Security and Privacy of Automatic Dependent Surveillance - Broadcast (ADS-B) Protocol : Challenges, Potential Solutions and Future Directions
Authors: Ahmed Hammad , Khan Haibat , Ahmed Khan Mansoor
Published: June 2023

Automatic Dependent Surveillance – Broadcast (ADS-B) system is based on wireless communications protocol to broadcast aircraft identification and navigational information via data link. Effectively mandated by almost all regional civil aviation regulatory bodies worldwide, ADS-B is essentially defining the future of many international Air Traffic Management programs like Global Plan Initiatives, NextGen ATS and Single European Sky ATM Research. Aircraft determine position from navigation satellites, merge these with identity and classification information for further broadcast on open / un-encrypted format over standard surveillance channel using ADS-B equipped transponders. Information collected by multiple ground, air and space-based ADS-B receivers is then fused to form complete surveillance picture for aircraft tracking to be used by Ground Controllers and Pilots, enabling effective Air Traffic Management. Additionally, this surveillance data is also available over internet for public viewing on PCs, laptops or even smartphones. Due to its open architecture and broadcast nature, ADS-B data transmitted over the air remains vulnerable and prone to unwarranted security and privacy issues. With commercial availability of inexpensive Software Defined Radios (SDRs), stated vulnerabilities can be further exploited through any or all attacks applicable to wireless communications medium, subsequently jeopardizing Air Traffic Services and risking flight safety of passengers. International Civil Aviation Organization, central to air transport policy and standardization worldwide, has also acceded to the security issues related to availability, confidentiality and integrity of ADS-B in their documentations. It has recommended to undertake security risk assessment studies in coordination with appropriate state organization to devise ways and means to mitigate the attack effectiveness. In cognizance to same, this survey article is an effort to compile information contained in various research proposals and industrial documents. It is aimed to understand ADS-B systems and its vulnerabilities, identifying threat levels and attacks, recent developments and analysis of developed or scholarly proposed countermeasures to secure ADS-B transmitted data, with or without altering existing protocol or infrastructure.
Compressed Spectrum Reconstruction Method Based on Coding Feature Vector Enhancement
Authors: Cao Chipeng , Li Jie , Wang Pan , Qi Chun
Published: June 2023

Among the coded aperture compressed spectral imaging reconstruction algorithms, the end-to-end reconstruction method is a straightforward and effective reconstruction method. However, the presence of a large number of identical pixel points in the measured image, mapped to different a priori spectral information, makes the end-to-end reconstruction algorithm difficult to solve accurately. In order to enhance the mapping characterization of pixel information in the end-to-end reconstruction process and improve the reconstruction quality, we propose a model optimization solving method for encoding feature vector enhancement. Using the wavelength and position of each pixel in the a priori spectral image, we design the computational rules of coded information by nonlinear functions, label each pixel point in the measured image separately, and perform vectorization to enhance the semantic representation among pixel information. The labeled data is used as the feature set and the a priori spectral information is used as the label set, and the end-to-end compressed spectral reconstruction model is established by the random forest algorithm. The simulation experiments of hyperspectral images of multiple scenes show that the scalar features of the measured images are transformed into vector features by adding wavelength and pixel location information encoding, which effectively enhances the feature representation of each pixel point; the proposed encoded reconstruction method obtains better reconstruction quality and shows superior algorithmic performance compared with traditional reconstruction methods and depth image a priori reconstruction methods.
Examining the Runtime of NLTK and TensorFlow Algorithms for Chatbot Based on intents.json Length
Authors: Hariharaprasad Rishi
Published: June 2023

This research paper investigates the relationship between the length of the intents.json file and the runtime of NLTK (Natural Language Toolkit) and TensorFlow algorithms for chatbot development in Python. By examining the runtime efficiency based on different intents.json file sizes, the study aims to determine the impact of file length on algorithm performance. Experimental analysis reveals a linear relationship between intents.json length and training runtime, indicating an O(N) runtime complexity. This research provides valuable implications for developers seeking to enhance the runtime performance of chatbot systems by providing them with a baseline of runtime for chatbot dynamic creation - giving organizations the opportunity to properly allocate resources towards chatbot development.
A Review on Music recommendation system based on facial expressions, with or without face mask
Authors: Wimalaweera Rakhitha
Published: June 2023

This music recommendation system that utilizes facial expressions to determine the user's mood and preferences. The device is made to function both with and without a face mask, making it useful and adaptable in the pandemic situation of today. Although prior studies have looked at music suggestion and facial emotion identification separately, the particular setting of face masks poses a special problem as well previous research did not focus on the accuracy of the models and they did not used multiple emotions. This issues necessitates research into how emotions are perceived and expressed when a mask is partially covering the face through outward facial features like the eyes and brows.

In order to accurately recognize facial emotions and offer music, a revolutionary strategy combining cutting-edge methods, specialized convolutional neural network (CNN) layers, and modified activation keys must be developed. Face masks offer a challenge, thus the solution uses cutting-edge methods to evaluate the remaining exposed facial features, like the eyes and brows, in order to efficiently capture emotional information. The researcher suggests modifying current CNN designs to do this by adding specialized layers that concentrate solely on the visible facial regions. The solution tries to improve the network's capacity to derive meaningful emotional information from the observable face features by customizing the network's design, for as by including attention mechanisms or feature fusion modules. The researcher also investigates the usage of unique activation keys that direct the network's focus on pertinent face regions and emotional cues while ignoring masked regions. The technique seeks to enhance the accuracy and robustness of facial emotion recognition by providing customized activation keys that emphasize the visible facial areas and suppress the impact of face masks.
Implementation of The Information Service Application Portal for Registration of Prospective Santri and Recording of School Activities Using The Extreme Programming Method
Authors: Hidayasari Nurmi , Mansur Mansur , Ilma Elfira Nurul , Anisa Dinda
Published: June 2023

For Islamic boarding schools, the website functions as a medium of information and school introduction to the public. In order for prospective students to register easily, complete information is needed so that the boarding school can easily manage the data of prospective students. Apart from teaching and learning, teachers and students also have other activities at school. The categories of activities carried out by teachers are training, teaching, RPP (Learning Implementation Plans), and clubs or CCA (Co-Curricular Activities), while the categories of activities carried out by students are extracurricular activities, organizations, and competitions. All information on teacher and student activities requires data to be stored properly for a certain period of time. This study aims to build an information service application for registration of prospective students and recording of school activities using the extreme programming method. This application is made using the PHP programming language with the CodeIgniter framework, a MySQL database, and extreme programming as an application development method. Based on the tests carried out, this application can run on various browser applications, such as Google Chrome, Mozilla Firefox, and Microsoft Edge.
Cicatrização de ferida pós-cirúrgica com ozonioterapia em um cão: relato de caso
Authors: Gonçalves Brenna Maria Cyrino Nogueira , Souza Mariely Thais de
Published: June 2023

A ozonioterapia é um tratamento utilizado para diversas enfermidades, porém uma das suas maiores indicações é para o tratamento de feridas, pois essa técnica proporciona efeitos bactericidas, viricidas, fungicidas e cicatrizantes. Se for corretamente empregada, constitui-se em um tratamento de baixo custo, baixos riscos e com poucas contraindicações. A ozonioterapia pode ser utilizada de forma única ou associada a outros métodos terapêuticos. O presente trabalho relata o uso da ozonioterapia como tratamento coadjuvante na cicatrização de ferida pós-cirúrgica em um cão submetido a remoção de um neurofibrossarcoma em membro torácico direito.
Ensino de Ciências nos Anos Iniciais: perspectivas históricas e práticas
Authors: Maldaner Lauren Linck Nilson , Boer Noemi , Da Rosa Cleci T. Werner
Published: June 2023

No presente artigo objetiva-se buscar argumentos para fortalecer a discussão relativa ao ensino de Ciências nos anos iniciais. Trata-se de um estudo de revisão acerca de como o ensino de Ciências se delineou no país, especialmente a partir da segunda metade do século XX até a efetivação da Base Nacional Comum Curricular (BNCC), em 2017. Na discussão do estudo, retomam-se o letramento científico e o processo investigativo como estratégias de aprendizagem em Ciências, com breves explicações a respeito do Ciclo Investigativo. Defende-se que o ensino de Ciências deve ser capaz de contextualizar os conteúdos conceituais da realidade na qual cada escola se insere, buscando a compreensão e a aprendizagem de conhecimentos científicos, valorizando a vivência de todos os que compõem o universo escolar.
The hidden curriculum across medical disciplines: an examination of scope, impact, and context
Authors: Schultz Karen , Cofie Nicholas , Braund Heather , Joneja Mala , Watson Shayna , Drover John , MacMillan-Jones Laura , Dalgarno Nancy
Published: June 2023

Background: While research suggests that manifestations of the hidden curriculum (HC) phenomenon have the potential to reinforce or undermine the values of an institution, very few studies have comprehensively measured its scope, impact, and the varied clinical teaching and learning contexts within which they occur. We explored the HC and examined the validity of newly developed constructs and determined the influence of context on the HC. Methods: We surveyed medical students (n =182), residents (n =148), and faculty (n = 140) from all disciplines at our institution between 2019 and 2020. Based on prior research and expertise, we measured participants’ experience with the HC including perceptions of respect and disrespect for different medical disciplines, settings in which the HC is experienced, impact of the HC, personal actions, efficacy, and their institutional perceptions. We examined the factor structure, reliability, and validity of the HC constructs using exploratory factor analysis Cronbach’s alpha, regression analysis and Pearson’s correlations. Results: Expert judges (physician faculty and medical learners) confirmed the content validity of the items used and the analysis revealed new HC constructs reflecting negative expressions, positive impacts and expressions, negative impacts, personal actions, and positive institutional perceptions of the HC. Evidence for criterion validity was found for the negative impacts and the personal actions constructs and were significantly associated with the stage of respondents’ career and gender. Support for convergent validity was obtained for HC constructs that were significantly correlated with certain contexts within which the HC occurs. Conclusion: More unique dimensions and contexts of the HC exist than have been previously documented. The findings demonstrate that specific clinical contexts can be targeted to improve negative expressions and impacts of the HC.
Inter-institutional data-driven education research: consensus values, principles, and recommendations to guide the ethical sharing of administrative education data in the Canadian medical education research context
Authors: Grierson Lawrence , Cavanagh Alice , Youssef Alaa , Lee-Krueger Rachelle , McNeill Kestrel , Button Brenton , Kulasegaram Kulamakan
Published: June 2023

Background: Administrative data are generated when educating, licensing, and regulating future physicians, but these data are rarely used beyond their pre-specified purposes. The capacity necessary for sensitive and responsive oversight that supports the sharing of administrative medical education data across institutions for research purposes needs to be developed.
Method: A pan-Canadian consensus-building project was undertaken to develop agreement on the goals, benefits, risks, values, and principles that should underpin inter-institutional data-driven medical education research in Canada. A survey of key literature, consultations with various stakeholders, and five successive knowledge synthesis workshops informed this project. Propositions were developed, driving subsequent discussions until collective agreement was distilled.
Results: Consensus coalesced around six key principles: Establishing clear purposes, rationale, and methodology for inter-institutional data-driven research a priori; informed consent from data generators in education systems is non-negotiable; multi-institutional data sharing requires special governance; data governance should be guided by data sovereignty; data use should be guided by an identified set of shared values; and best practices in research data-management should be applied.
Conclusion: We recommend establishing a representative governance body, engaging a trusted data facility, and adherence to extant data management policies when sharing administrative medical education data for research purposes in Canada.
SOME ASPECTS OF MANAGEMENT OF THE PROMOTION OF ORGANIC PRODUCTS IN DOMESTIC AND FOREIGN MARKETS
Authors: Smihunova Olena , Vitkovskyi Yurii , Minenko Sofiia , Protas Volodymyr
Published: June 2023

The article is devoted to the consideration of the problems of managing the promotion of organic products in the domestic and foreign markets. On the market of European countries, a high and stable demand for organic, ecologically safe food products has formed, while the formation of the domestic market for organic products is somewhat inhibited due to several reasons the low purchasing power of the population and the insufficient level of awareness of domestic consumers about the benefits of products produced by organic technology. At the same time, the structure of organic products presented on the domestic and foreign markets differs significantly: domestic consumers can purchase processed products and finished products, while mainly raw materials produced using organic technology are exported. These factors should be considered in the process of managing the promotion of organic products to form an appropriate marketing and logistics toolkit capable of ensuring the greatest efficiency of producers and traders. Creating a logo that would allow the consumer to identify a specific product from among a few others is important for the formation of a sustainable demand for an organic product. The implementation of a successful marketing policy in the process of promoting such an ecological product should be based on detailed information from the production unit regarding its quality parameters. Features of the implementation of logistics functions in the process of promotion of ecologically safe products are due to the features of organic production and the need to deliver products of appropriate quality to consumers. The domestic market is currently dominated by direct sales. The effective export activity requires the formation of acceptable batches, which often prompts direct domestic producers to transfer sales functions to third-party organizations or traders who can consolidate commodity batches from small producers. Specialized logistics companies also usually have more experience and the infrastructure needed to transport organic products smoothly. The cooperation of domestic producers of organic products can become a tool capable of ensuring effective marketing activities of direct producers without the involvement of third-party organizations.
Keywords: organic products, promotion management, sales channels, logistics, sales.
Managing Diabetes at Household Level; A case study of Diabetic Patients in Rawalpindi City
Authors: Iqra Riasat  , Mahwish Zeeshan  , Dr. Abid Ghafoor Chaudhry
Published: June 2023

In the middle- and low-income developing countries like Pakistan treatment of diabetes is very expensive and people can’t afford the cost of medications in this way households face many financial hardships. Therefore, the study was focused on how cultural myths influence the patients in managing diabetes at household level to avoid the use of medications. The purpose of this research is to study the relationship of treatment cost and household budget and further to explore the cultural myths in regards to managing diabetes. The study was carried out in Cantonment area of Rawalpindi city. Further the research study was qualitative in nature and selecting 20 diabetic patients through purposive sampling technique of non-probability sampling type. Moreover, for this study research methodology was exploratory and data were collected through face-to-face interview. Interview has been recorded with due permission of the respondents and transcribed in order to analyze or generate various themes. In this study findings identified in six theme, mode of treatment, affordability of treatment, bearing of expenditure, budget disturbance, Cultural belief and practices, and Cultural myths in management of diabetes. these were found that patients who bear expenses on self without any health insurance or not having any panel of hospital facing issue to manage the diabetes. Due to costly medicines their household budget was badly disturbed and most of them let the visit of doctor, use medication only once in a day just to pass the whole month from these medicines. Further most of the patients never conduct hba1c test regularly and the reason is non-affordability of test cost. Only those who are on the panel of certain hospitals conduct this test after every three months. Furthermore, due to costly medications patients looking for alternative solutions as they choose cultural belief and myths to control diabetes just to satisfy the self.
Professional suitability as a psychological prerequisite for improving the effectiveness of military-professional training (retraining) of military personnel
Authors: Karavanov Alexander A. , Ustinov Igor Y. , Len Anzhela A.
Published: June 2023

The object of this work is to consider the problem of complementarity of the qualification readiness of candidates (applicants) for the future military specialty. Professional psychological selection of military personnel is considered as a psychological prerequisite for increasing the effectiveness of military professional training (retraining), as a way to overcome the discrepancy between the applicant (subject of military professional activity) and the requirements of the MAS. The analysis of dissertation research, scientific literature and regulatory documents made it possible to classify the types of human suitability for military professional activity into groups. The basis for the classification was the characteristics of the psychological qualities and innate personality traits necessary for the development of the military profession, as well as their psychodiagnostic tools. The factors of professional suitability are described in detail, the structural elements necessary for effective functioning in the profession are highlighted, by which it is possible to assess the professional suitability of a person. The composition and composition of the qualification psyche suitability of a person, which determine the profitability of technologies and algorithms (retraining) of applicants for vacancies of contract servicemen in the Russia Armed Forces, have been clarified. The definition of psychiatric suitability has been clarified. The professional suitability of an individual for military specialties is considered from the point of view of two basic tendencies to the knowledge of this phenomenon, the types of readiness of the individual for specialized activities are described. The specific characteristics of military professional training are revealed.
Growth analysis and yield evaluation under tillage and weed management practices in maize-wheat cropping system
Authors: Kumar Sachin , Rana Surinder Singh , Sharma Neelam , Sharma Abha
Published: June 2023

Integrated weed management strategies combine tillage systems and weed control strategies. Conservation agriculture (CA) and sustainable intensification cropping systems are potential sources of improved growth and overall productivity. This study evaluated tillage and weed management strategies effects on crop growth parameters and biological yields in maize-wheat cropping system in North Western Himalayan region. Different tillage (five) and weed management practices (three) were evaluated from 2018 to 2020 on growth indices and yield with fifteen treatments. Conservation agriculture (CA) based production system (ZT, zero tillage; crop rotation and intensification; residue management i.e. ZTR-ZTR) had higher crop dry matter accumulation (DMA), relative growth rate (RGR), crop growth rate (RGR) and biological yield of maize (28698 kg/ha) and wheat crops (18750 kg/ha). The zero tillage in maize and wheat (ZT-ZT) resulted in lowest maize (24677 kg/ha) and wheat biological yield (14009 kg/ha. Among weed management treatments, application of recommended herbicides in maize and wheat crop (H-H) resulted in higher crop DMA and biological yield of maize (27652 kg/ha) and wheat crop (19540 kg/ha). Therefore, for North Western Himalayan conditions, ZTR+H-ZTR+H (Conservation tillage combined with herbicide application in maize and wheat) is superior to other combinations for growth and yield.
Crop acreage and yield mapping of groundnut crop in erstwhile Mahabubnagar District using RS and GIS
Authors: Sannidi Sushma , G. S Madhu Bindu , T. L Neelima , M Umadevi
Published: June 2023

An investigation was carried in the erstwhile Mahabubnagar district of Telangana during rabi 2019-20 aiming the estimation of groundnut crop acreage and yield. The crop area was estimated using the satellite images of Landsat-8-OLI sensor from September to February covering the entire crop growth period by performing an unsupervised image classification technique with 300 classes, 300 iterations and a convergence threshold of 0.99. The groundnut yield was estimated by developing the regression equation using crop-cut yield data and NDVI values of the corresponding GPS locations. The crop area was estimated to be 57,865 ha with producer’s and user’s accuracy of 100 and 90% respectively, and a relative deviation of 28.6% when compared with actual ground estimates of the Department of agriculture. The crop yields were estimated with an R2 value of 0.71 and a correlation coefficient of 0.87
Effect of herbicides on plant growth and seed yield and quality of soybean (Glycine max L. Merr.)
Authors: Nainwal Rakesh , Saxena S. C.
Published: June 2023

Weeds create a great problem for soybean production and to overcome this problem a large number of weedicides are being applied prevalently worldwide. Gradually increasing the use of chemical herbicides, not only creating resistance against these chemicals among the weeds and polluting the environment, but also influencing the main crop and deteriorating the produce quality. To focus this problem a two-year experiment was laid down during ‘kharif’, at Norman E. Borlaug Crop Research Centre of G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, to evaluate the detrimental effect of herbicides on soybean plant growth and seed quality. The study come up with the results that the growth parameters during 60-90 DAS (days after sowing) viz., crop growth rate (CGR 0.235 g/day), relative growth rate (RGR 0.014 g/ g/ day) and net assimilation rate (NAR 2.250 g/cm2/day) decreased due to higher weed competition in weedy plot. Weed competition also significantly reduced yield parameters like number of branches (3.8) and pod per plant (25.4), seed per pod (2.4), seed yield (386 kg/ ha), seed index (11.8 %), and straw yield (1611 kg/ha). The highest seed yield (2665 kg/ha) was recorded with application of diclosulam (as pre-emergence) followed by one hand weeding, which was statistically equal with the treatment in which diclosulam followed by haloxyfop (as post-emergence) was applied. These herbicides also significantly alter the fatty acid composition of soybean seed oil.