bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUATION AND REHABILITATION STRATEGIES OF THE SEQUELARES OF SURGICAL REMOVAL OF A TUMOR IN THE IV VENTRICLE
Authors: João Pereira Martins Sandro
Published: May 2024

Introduction: Tumor surgeries in the IV ventricle are challenging and hairsplitting due to the risk of injury in adjacent structures, such as, the cerebellum and vestibular nucleus, which can cause movement disorders, affecting balance and gait, resulting in a decrease in functional capacity and quality of life. Objectives: Find the most effective assessment and rehabilitation process, taking into account a whole bio-psycho-social that is the patient of this case study. Methodology: Subjective and objective assessment were performed, as well as a treatment plan to the patient in question. Results: Good results were recorded on the Berg Scale and Timed Up & Go (Tug). Discussion: A lot of literature talks about isolated treatments to treat sequelae of surgical procedures close to the cerebellum, however in this case study it is demonstrated that, supported by the existing scientific evidence, with the aid of clinical reasoning and critical thinking, it is possible to adapt and execute a assessment and rehabilitation process for those patients, in a safe and effective way. Conclusion: Physiotherapy, namely therapeutic massage, re-education of the gait pattern, namely facilitating the semi-step with handling in the foot, ankle and knee, balance training inspired by the Berg Scale, functional training with the promotion of dynamic instability and aerobic training, result in good strategies to decrease postural instability, maximize functional capacity and minimize complications in this kind of surgeries.
MENINGKATKAN KEDISIPLINAN SISWA MTS WAHID HASYIM MELALUI ABSENSI SIDIK JARI DAN KOLABORASI ORANG TUA LEWAT WHATSAPP
Authors: DIRMANSYAH MOCH , HARYATI TITIK , MIYONO NOOR
Published: May 2024

This research aims to improve the discipline of Mts Wahid Hasyim students through fingerprint attendance and parent collaboration via WhatsApp. This research use desciptive qualitative approach. The subjects of this research were MTs Wahid Hasyim students. The techniques used in this research include observation, interviews and documentation. Informants in this research included learning managers or homeroom teachers, school principals, and student parents. It is hoped that the implementation of a fingerprint attendance system and parent collaboration via WhatsApp can be a solution to improve the discipline of MTs Wahid Hasyim students. A fingerprint attendance system can increase the accuracy and efficiency of attendance, as well as help monitor student discipline in real-time. Parental collaboration via WhatsApp can help parents monitor their child's discipline progress at school and provide support at home. Apart from that, other efforts need to be implemented to improve student discipline, such as education about the importance of discipline, instilling positive character values, giving awards, giving sanctions, and increasing communication between teachers and students. The main key to achieving good student discipline is to build good cooperation between schools, parents and students. By implementing these solutions consistently and continuously, it is hoped that the discipline of MTs Wahid Hasyim students can increase and have a positive impact on all parties.
ABSTRAKPenelitian ini bertujuan untuk meningkatkan kedisiplinan siswa Mts Wahid Hasyim melalui absensi sidik jari dan kolaborasi orang tua lewat whatsapp. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Subjek dari penelitian ini adalah siswa MTs Wahid Hasyim. Teknik yang digunakan dalam penelitian ini meliputi observasi, wawancara, dan dokumentasi. Informan dalam penelitian ini mencakup pengelola pembelajaran atau wali kelas, kepala sekolah, serta wali murid. Penerapan sistem absensi sidik jari dan kolaborasi orang tua lewat WhatsApp diharapkan dapat menjadi solusi untuk meningkatkan kedisiplinan siswa MTs Wahid Hasyim. Sistem absensi sidik jari dapat meningkatkan akurasi dan efisiensi absensi, serta membantu memantau kedisiplinan siswa secara real-time. Kolaborasi orang tua lewat WhatsApp dapat membantu orang tua dalam memantau perkembangan disiplin anaknya di sekolah dan memberikan dukungan di rumah. Selain itu, perlu diterapkan upaya lain untuk meningkatkan kedisiplinan siswa, seperti edukasi tentang pentingnya disiplin, penanaman nilai-nilai karakter positif, pemberian penghargaan, pemberian sanksi, dan peningkatan komunikasi antara guru dan siswa. Kunci utama untuk mencapai kedisiplinan siswa yang baik adalah dengan membangun kerjasama yang baik antara sekolah, orang tua, dan siswa. Dengan menerapkan solusi-solusi tersebut secara konsisten dan berkesinambungan, diharapkan kedisiplinan siswa MTs Wahid Hasyim dapat meningkat dan membawa dampak positif pada semua pihak.
Explore maps as you read a comic book
Authors: Le Mao Bérénice , Touya Guillaume
Published: May 2024

Abstract. While maps have been evolving towards more interactivity and pan-scalar display, their design did not change this much, lacking progressiveness between the numerous maps at different zoom levels. Drawing inspiration from the well-established theories of comics and cinema, this article explores the essential mechanics of these mediums, particularly focusing on the common challenge of progressiveness in their panoptic design. Progressiveness, defined using terms from comics, cinema, and music, becomes a pivotal concept in pan-scalar map design, emphasizing consistency, comfort in reading, and the absence of breaks. The goal is to elucidate the elements within the cartographer’s control during the pan-scalar design process, akin to film editors manipulating semantic, syntactic, and rhythmic functions. This article not only conceptualizes progressiveness but also proposes initial measures to enhance it in pan-scalar maps, thereby expanding the understanding of the design space and the diverse choices available to cartographers.
Land Evaluation Configuration using Answer Set Programming
Authors: Karamesouti Mina , Tignon Etienne
Published: May 2024

Abstract. In the realm of Land Evaluation (LE) interdisciplinary and transdisciplinary knowledge exchange is critical for land use preservation. Geographic Information Systems (GIS) are powerful tools for real-world Knowledge Representation (KR), facilitating inter- and transdisciplinary communication. In such knowledge exchange contexts, heterogeneity, ambiguity, abstraction are only indicative issues, underscoring the necessity for a rigorous commitment to broader transparency in KR. Answer Set Programming (ASP), a declarative, human-readable, logic-based formalism, could serve this objective and facilitate productive, case-relevant dialogues. Similarly to the fundamental GIS knowledge organization structures, ASP formalizes knowledge as entities and relations between them. In current work, leveraging Rossiter’s theoretical framework for LE, and employing ASP, we aim for greater transparency in the epistemological and ontological assumptions underpinning the complex LE problem. ASP-based system configuration is used to formalize the LE Problem Instance as Components (C) with Properties (P) and Values (V ). Fact-type specifications in predicate format materialize relations between problem components. Over 40 concepts, corresponding to distinct domains, 30 mereological relations and relational requirements between components, and 60 requirements on component properties have been described. We showcase the Problem Instance formalization of the non-spatial, single-area LE, based on Land Characteristics (LC), model type. The clear separation between domain knowledge (Problem Instance) and high-level theories (Problem Encoding) enables the consistent LE problem formalization using the ASP-based system configuration paradigm. A declarative Problem Instance formalization provides insight into the problem’s nature and assumptions. Modular knowledge formalization using ASP, among others, enhances flexibility, scalability, and adaptability, given new knowledge becomes available.
Occupation Prediction with Multimodal Learning from Tweet Messages and Google Street View Images
Authors: Liu Xinyi , Peng Bo , Wu Meiliu , Wang Mingshu , Cai Heng , Huang Qunying
Published: May 2024

Abstract. Despite the development of various heuristic and machine learning models, social media user occupation predication remains challenging due to limited high-quality ground truth data and difficulties in effectively integrating multiple data sources in different modalities, which can be complementary and contribute to informing the profession or job role of an individual. In response, this study introduces a novel semi-supervised multimodal learning method for Twitter user occupation prediction with a limited number of training samples. Specifically, an unsupervised learning model is first designed to extract textual and visual embeddings from individual tweet messages (textual) and Google Street View images (visual), with the latter capturing the geographical and environmental context surrounding individuals’ residential and workplace areas. Next, these high-dimensional multimodal features are fed into a multilayer transfer learning model for individual occupation classification. The proposed occupation prediction method achieves high evaluation scores for identifying Office workers, Students, and Others or Jobless people, with the F1 score for identifying Office workers surpassing the best previously reported scores for occupation classification using social media data.
Process Analysis in Humanitarian Voluntary Geographic Information: the case of the HOT Tasking Manager
Authors: Herrera-Murillo Dagoberto José , Ochoa-Ortiz Héctor , Ahmed Umair , López-Pellicer Francisco Javier , Re Barbara , Polini Andrea , Nogueras-Iso Javier
Published: May 2024

Abstract. Geographic information is vital for organising humanitarian campaigns and helping those in need. The leading Humanitarian OpenStreetMap Team (HOT) organises projects to create the necessary geographical information and connect to the organisations that need to make decisions on the ground. This work provides insights into project management dynamics and volunteers’ interaction with user interfaces in Volunteered Geographic Information (VGI) in a humanitarian context. We do so by conducting a process analysis of 746 completed, fully validated, and archived projects in the HOT Tasking Manager (HOT-TM) over the past two years. The analysis encompasses a process discovery stage from the perspectives of control flow, time, organisation, and outcome of the mapping tasks that comprise a project. The findings offer valuable implications for future project planning and execution in similar contexts. Our process mining exploration of the task states found a clear path that involves mapping and validation operations with minor deviations. However, we did find a major bottleneck from the mapping to the validation phase, which could reflect that validation capabilities are a scarce resource. Proactive notification for validators, artificial intelligence adoption for task planning, user interface redesign, and strategies for better harnessing the collective intelligence of volunteers could improve the process.
Dynamic construction of visible knowledge graph based on 3D geographic scene for intelligent bridge management
Authors: Zhu Jun , Guo Yukun
Published: May 2024

Abstract. Knowledge graphs are a crucial core in enhancing the intelligent management of geographic entities. Current knowledge graphs primarily focus on constructing knowledge in bridge health monitoring, often neglecting the spatial relationships of bridges as geographic entities. This oversight limits their capabilities in diagnosing, analyzing, and predicting bridge conditions. To address this, a method for dynamic construction of knowledge graphs is proposed, which is driven by semantics and data for extracting entities and relationships from geographic scene. Furthermore, a multi-level 3D knowledge graph visualization method was proposed, presenting entities and their relationships in varying levels of detail. Experiments and analyses were conducted using a geographic scene that included a building information model of a bridge. The results demonstrate that our proposed method can construct knowledge graphs both rapidly and accurately, providing a more comprehensive understanding of the relationships between bridge entities. This enhances the management of intelligent bridges.
Calibration of Optical Particle Spectrometers Using Mounted Fibres
Authors: Girdwood Jessica , Ballington Harry , Stopford Chris , Lewis Rob , Hesse Evelyn
Published: May 2024

Abstract. Calibrations of OPSs are non-trivial, and conventionally involve aerosolisation techniques which are challenging for larger particles. In this paper, we present a new technique for OPS calibration, which involves mounting a static fibre within the instrument sample area, measuring the scattering cross section, then comparing it with a calculated value. In addition, we present a case for the use of GLMT simulations to account for deviations in both minor and major axis beam intensity, which has a significant effect on particles which are large compared to the beam waist, in addition to reducing the need for a ‘top-hat’ spacial intensity profile. The described technique is OPS independent and could be applied to a field calibration tool, which could be used to verify the calibration of instruments before they are deployed. In addition to this, the proposed calibration technique would be suited for applications involving mass production of low-cost OPSs.
Wind tunnel investigations of an individual pitch control strategy for wind farm power optimization
Authors: Mühle Franz V. , Heckmeier Florian M. , Campagnolo Filippo , Breitsamter Christian
Published: May 2024

Abstract. This article presents the results of an experimental wind tunnel study which investigates a new control strategy named Helix. The Helix control employs individual pitch control for sinusoidally varying yaw and tilt moments to induce an additional rotational component in the wake, aiming to enhance wake mixing. The experiments are conducted in a closed-loop wind tunnel under low-turbulence conditions to emphasize wake effects. Highly sensorized model wind turbines with control capabilities similar to full-scale machines are employed in a two-turbine setup to assess wake recovery potential and explore loads on both upstream and downstream turbines. In a single-turbine study, detailed wake measurements are carried out using a fast-response five-hole pressure probe. The results demonstrate a significant improvement in energy content within the wake, with distinct peaks for clockwise and counterclockwise movements at Strouhal numbers of approximately 0.47. Both upstream and downstream turbine dynamic equivalent loads increase when applying the Helix control. The time-averaged wake flow streamwise velocity and rms value reveal a faster wake recovery for actuated cases in comparison to the baseline. Phase-locked results with azimuthal position display a leapfrogging behavior in the baseline case in contrast to the actuated cases, where distorted shedding structures in the longitudinal direction are observed due to a changed thrust coefficient and an accompanying lateral vortex shedding location. Additionally, phase-locked results with the additional frequency reveal a tip vortex meandering, which enhances faster wake recovery. Comparing the Helix cases with clockwise and counterclockwise rotations, the latter exhibits slightly higher gains and faster wake recovery. This difference is attributed to Helix' additional rotational component acting in either the same or the opposite direction as the wake rotation. Overall, both Helix cases exhibit significantly faster wake recovery compared to the baseline, indicating the potential of this technique for improved wind farm control.
Havacılıkta Canlı Hayvan Taşımacılığı
Authors: Ünsal Billur , Rodoplu Didem
Published: May 2024

Küreselleşme ve artan nüfusla beraber gelen ticari faaliyetlerdeki hareketlilik, taşımacılık sektörünü geliştirmektedir. Gerek yolcu gerek kargo trafiği bakımından günden güne artan faaliyetleri ile sivil havacılık sektörü, sürekli gelişmekte ve farklı türde kargolar taşınmasına olanak sağlamaktadır. 1900’lü yılların başından itibaren gelişen hava kargo taşımacılığı, günümüzde çeşitli kargoların alanında uzman paydaşlar tarafından taşındığı değerli bir alan haline gelmiştir. Hava kargolar, genel kargo ve özel kargo olmak üzere iki başlık altında toplanmaktadır. Canlı hayvanları da içeren özel kargolar, genel kargolardan farklı olarak birtakım özel işlemler gerektirmektedir. Söz konusu özel işlemler, havacılık otoriteleri tarafından belirlenen kabul, etiketleme, yükleme ve istif kurallarına uygun olmalıdır. Çalışmanın amacı hava kargo ile canlı hayvan taşımacılığı süreci hakkında literatüre katkı sunmaktır.
Strategi Promosi di Media Sosial Untuk Pelaku Usaha
Authors: Herlina Elin , Rahajaan Jerry Dounald , Kusuma Sigit Setya
Published: May 2024

Abstrak: Promosi merupakan suatu bentuk komunikasi pemasaran yang menjadi salah satu faktor penentu dalam keberhasilan suatu program pemasaran. Sebagian besar pelaku usaha masih belum melakukan metode promosi yang baik di media sosial. Tujuan dilakukannya kegiatan pemberdayaan masyarakat ini adalah untuk memberikan edukasi mengenai pentingnya strategi promosi di media sosial. Sasaran dari kegiatan ini adalah para pelaku usaha di Desa Karangsari, Kecamatan Darma, Kabupaten Kuningan Jawa Barat. Kegiatan ini dihadiri oleh 20 orang. Kegiatan ini menggunakan metode pelaksanaan dengan pemaparan materi, diskusi, dan demonstrasi. Hasil kegiatan menunjukkan bahwa strategi promosi di media sosial dapat mengidentifikasi kelemahan pelaku usaha dalam mempromosikan produknya. Selain itu, pemateri dan mahasiswa berhasil memberikan pembelajaran dan solusi kepada pelaku usaha.
Kata Kunci: Strategi Promosi, Media Sosial, Pelaku Usaha.
ANALISIS EMISI GAS BUANG KENDARAAN KOMERSIAL BERDASARKAN TIPE KARAKTERISTIK KENDARAAN BERMOTOR
Authors: HUMAMI FARIS , Julianti Marisha , Rusmandani Pipit
Published: May 2024

Transportasi dapat mempercepat pertumbuhan ekonomi, memudahkan pergerakan barang dan manusia, memperlancar perdagangan, dan menghubungkan pasar. Namun, sektor transportasi dianggap sebagai penyumbang polusi udara yang signifikan. Transportasi jalan raya biasanya menggunakan bahan bakar fosil seperti bensin dan solar. Transportasi jalan raya didominasi oleh kendaraan bermesin pembakaran internal berbahan bakar bensin dan solar, sehingga menimbulkan tantangan bagi dekarbonisasi. Emisi transportasi berkontribusi terhadap perubahan iklim dan dikaitkan dengan dampak buruk terhadap kesehatan. Penelitian ini bertujuan untuk menganalisis besaran emisi kendaraan terhadap karakteristik pengoperasian kendaraan yang berbeda. Penelitian ini dilakukan dengan survei di lapangan untuk mengetahui karakteristik operasional kendaraan. Kajian faktor emisi dilakukan pada kendaraan berbahan bakar bensin dan solar. Pengumpulan data dilakukan dengan mengukur langsung jumlah emisi CO, HC dan opacity serta karakteristik kendaraan. Hasilnya menunjukkan jumlah emisi CO dan HC dari bahan bakar bensin meningkat seiring bertambahnya jarak tempuh dan usia kendaraan. Selain itu, kapasitas silinder pada suatu kendaraan juga mempengaruhi besarnya emisi gas buang. Karakteristik kendaraan termasuk jarak tempuh dan umur kendaraan mempunyai pengaruh yang signifikan terhadap jumlah emisi gas buang pada kendaraan.Karakteristik kendaraan yang meliputi jarak tempuh dan usia kendaraan berpengaruh signifikan terhadap besaran emisi gas buang pada kendaraan.
Petrographic microscopy of geologic textural patterns and element-mineral associations with novel image analysis methods
Authors:   , Acevedo Zamora Marco
Published: May 2024

Polarised light microscopy of rock slices (thin sections) – petrography – remains a foundational tool in geoscience research. Surprisingly, the study of rock thin sections has largely remained an analogue task. This project aimed at translating modern image analysis from digital pathology and geographic information systems to petrography. The abundance of minerals and their optic-axis orientation was automated with newly developed software ‘pipelines’ and mineralogy algorithms. This included the recognition of minerals as objects within complex microscope images that were also combined with chemical maps of the thin sections. The proposed dimensionality reduction techniques revealed previously unrecognised features.
17. NGHIÊN CỨU TÌNH TRẠNG KHÔ ÂM ĐẠO Ở PHỤ NỮ MÃN KINH THÀNH PHỐ ĐÀ NẴNG VÀ MỘT SỐ YẾU TỐ LIÊN QUAN NĂM 2023
Authors: Thảo Nguyễn Đình Phương , Vĩnh Nguyễn Đại , Hòa Hoàng Thị Minh
Published: May 2024

Mục tiêu: Xác định tỷ lệ khô âm đạo ở phụ nữ mãn kinh thành phố Đà Nẵng và tìm hiểu một số yếu tố liên quan đến tình trạng khô âm đạo.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên 850 phụ nữ đã mãn kinh tự nhiên được phỏng vấn và thăm khám tại 17 Trạm Y tế thuộc 17 Phường của thành phố Đà Nẵng trong thời gian từ tháng 8 đến tháng 9 năm 2023. Nghiên cứu được tiến hành thông qua khám phụ khoa, xét nghiệm nồng độ estradiol huyết thanh, thu thập chỉ số BMI và phỏng vấn các đối tượng nghiên cứu theo phiếu điều tra nhằm xác định tỷ lệ khô âm đạo và tìm hiểu một số yếu tố liên quan.
Kết quả: Tỷ lệ khô âm đạo ở phụ nữ mãn kinh chiếm 49,3%. Có mối liên quan giữa nồng độ estradiol với khô âm đạo, thời gian mãn kinh với khô âm đạo, còn sinh hoạt tình dục với khô âm đạo, giao hợp đau với khô âm đạo, môi trường pH âm đạo với khô âm đạo.
Kết luận: Tình trạng khô âm đạo chiếm tỷ lệ cao và có mối liên quan giữa nồng độ estradiol huyết thanh, thời gian mãn kinh, còn quan hệ tình dục, giao hợp đau, môi trường pH âm đạo với tình trạng khô âm đạo.
18. BÁO CÁO LOẠT CA BỆNH CO THẮT ÂM ĐẠO ĐIỀU TRỊ TẠI TRUNG TÂM Y HỌC GIỚI TÍNH BỆNH VIỆN NAM HỌC VÀ HIẾM MUỘN HÀ NỘI TỪ 2022 ĐẾN 2024
Authors: Ngọc Phạm Minh , Tú Nguyễn Anh , Ánh Lê Thị Phương
Published: May 2024

Mục tiêu: Hiểu biết về co thắt âm đạo (Vaginismus) còn hạn chế, chưa có thống nhất trong phương pháp điều trị. Tình dục liệu pháp là một trong những phương pháp điều trị co thắt âm đạo. Nghiên cứu báo cáo loạt ca co thắt âm đạo được điều trị tại Trung tâm Y học Giới tính, bệnh viện Nam học và Hiếm muộn Hà Nội.
Đối tượng và phương pháp nghiên cứu: Từ tháng 9/2022 đến tháng 3/2024 có 20 bệnh nhân được chẩn đoán co thắt âm đạo. Tất cả bệnh nhân được báo cáo bệnh sử, thăm khám lâm sàng, chẩn đoán và điều trị. Điều trị thành công xác định khi có khả năng quan hệ tình dục thâm nhập. Chỉ số chức năng tình dục nữ (FSFI) được ghi nhận trước, sau điều trị.
Kết quả: Chúng tôi báo cáo 19/20 bệnh nhân điều trị thành công bằng liệu pháp tình dục. Chỉ số chức năng tình dục nữ cải thiện từ 7,1 điểm lên 25,1 điểm sau điều trị 1 tháng. Không ghi nhận tai biến, biến chứng, trong quá trình điều trị.
Kết luận: Tình dục liệu pháp dường như là một trong những phương pháp an toàn, thành công, chi phí thấp điều trị co thắt âm đạo.
Decreased Foot Sensitivity as a Predictor of Diabetic Foot Ulcers
Authors: Wayunah Wayunah , Nur Aeni Wiwin , Kuncoro Martin , Saefulloh Muhammad
Published: May 2024

Introduction: Diabetic foot ulcers are a complication that often occurs in people with diabetes mellitus. This complication begins with a decrease in foot sensitivity which leads to neuropathy, resulting in frequent trauma to the feet. Decreased foot sensitivity in the form of decreased sensation of heat, cold, and pain is a dangerous complaint because it has a very high risk of causing foot ulcers or neuropathic foot ulcers. Objective: This study aimed to determine the relationship between the level of foot sensitivity and the incidence of dibetic foot ulcers in diabetes mellitus patients. Method: The type of research is a descriptive correlation with a cross-sectional approach. The population, all DM pstients at Internal Medicine Clinic 1 and 2 Indramayu District Hospital. The sample was 48 people taken by accidental sampling. Data collection tools used observation sheets and 10 G monofilament, while data analysis techniques used the Chi-square test. Result: The research results obtained from 44 respondents showed that 22 respondents (%) experienced neuropathy. Of these, 21 (95.5%) had ulcers. Meanwhile, of the 26 respondents who did not have neuropathy, 21 (80.8%) did not have ulcers. The results of further analysis obtained a p-value of 0.000 and an OR value of 88.2. Conclusion: The conclusion from this study is that there is a relationship between the level of sensitivity and the incidence of diabetic foot ulcers. DM patients who experience neuropathy are 88.2 times more likely to develop ulcers than those who do not experience neuropathy. Suggestions are given to nurses to continue making efforts to prevent diabetic foot ulcers by checking the sensitivity of the patient's feet regularly, at least once a year.
PROSPEK PENGEMBANGAN AGRIBISNIS BERBASIS DESA MANDIRI DI KECAMATAN ULUERE KABUPATEN BANTAENG
Authors: Ekasari Kartika , Nuraeni Nuraeni , Apriani Wulansari , Kasirang Andi , Afiyah Waris Fifi
Published: May 2024

Strategi pembangunan ekonomi sangat perlu dilakukan untuk memberikan solusi pada kompleksnya permasalahan ekonomi di Indonesia. Berdasarkan besarnya kontribusi sektor pertanian terhadap PDRB (Produk Domestik Regional Bruto) yaitu 49,11% (BPS, 2022), maka pengembangan agribisnis berbasis desa mandiri menjadi strategi pembangunan ekonomi yang tepat. Penelitian ini dilaksanakan di Kecamatan Uluere, Kabupaten Bantaeng, dan berfokus pada satu desa, yaitu Desa Bontomarannu yang memiliki lahan pertanian yang cukup luas dibandingkan dengan 5 (lima) desa lainnya. Pemilihan desa sasaran dilakukan secara purposif. Penelitian ini bertujuan untuk mengetahui potensi pengembangan kawasan agribisnis serta faktor pendukung dan penghambatnya. Dengan metode penelitian deskriptif kualitatif serta teknik pengumpulan data: FGD, wawancara, dan dokumentasi. Per 2021, data produksi tanaman sayuran di Kecamatan Uluere sebanyak 16.020 kw dengan luas lahan pertanian paling tinggi dibandingkan kecamatan lain (Kabupaten Bantaeng dalam Angka 2022, BPS, 2022). Luas Desa Bontomarannu 19,20 km2 dengan potensi dan prioritas agribisnis masyarakat yaitu: profesi petani (87%), sentra pengembangan tanaman Hortikultura (Bawang merah, kentang); Tanaman Pangan (Jagung dan padi sawah); Buah-buahan (pisang, mangga); Tanaman bunga serunai; Peternakan (Ayam kampung dan ayam petelur). Potensi sumber daya cukup besar untuk dapat dikembangkan dalam rangka meningkatkan kesejahteraan masyarakat. Untuk meningkatkan pendapatan dan kesejahteraan masyarakat, hasil-hasil produksi pertanian bisa diolah dan dijual. Masing-masing potensi agribisnis lebih menekankan kepada perlunya pelatihan pengembangan keterampilan para pelaku usaha, peningkatan hasil produksi, pemasaran dan pangsa pasar yang lebih luas, pertimbangan pemilihan lokasi kawasan agribisnis, dan digitalisasi. Melalui pengelolaan berbasis agribisnis di Kecamatan Uluere, diharapkan segala aktivitas ekonomi bisa cepat tumbuh dan memberi masyarakat peluang kerja yang lebih luas serta memberi efek kepada pengurangan pengangguran dan meningkatkan pendapatan masyarakat.
Rough Set Analysis for Categorizing Motorcycles based on 100 Cubic Centimeters (CC) Engine Displacements
Authors: R. Venmani
Published: May 2024

Rough Set Theory (RST) is a mathematical approach used for dealing with uncertainty and vagueness in decision-making and data analysis. It provides a framework for classifying objects into different equivalence classes based on their attributes or characteristics. In RST, the concept of different  bikes can be analyzed based on their attributes or characteristics. Each bike can be represented as an object with a set of attributes such as engine displacement, weight, top speed, fuel efficiency and price. Another class may consist of bikes with lower engine displacement, lighter weight, and better fuel efficiency, which could be more suitable for daily commuting. By applying RST, we can analyze the relationship between these attributes and determine the essential and non-essential features of 100  bikes. This analysis can help in decision making processes, such as choosing the right bike based on specific requirements or preferences. It's important to note that the application of RST to100  bikes is just one example of how this mathematical approach can be used in decision-making and data analysis. The specific attributes and classes may vary depending on the context and purpure of the analysis.
AGDT: A Mathematical Model of Hybrid Algorithm for Efficient Routing in MANETs Using Dynamic Thresholds
Authors: Archana Kumari
Published: May 2024

Due to the high mobility of nodes in the dynamic topology of Mobile Ad Hoc Networks (MANETs), it is challenging to define the precise position of a node in the network for effective data delivery. The paperproposed a hybrid algorithm for routing in MANETs called Adaptive GPSR with Dynamic Thresholds (AGDT). AGDT is a novel approach that combines the GPSR routing protocol with a dynamic threshold-based approach to increase the enactment of the network. The algorithm employs distance and direction-based thresholds to determine when to switch between GPSR and a perimeter-based approach for routing. The paper discusses the implementation of the algorithm and provides a performance evaluation of its effectiveness in comparison to other present routing algorithms. The results show that AGDT outperforms other protocols in terms of packet delivery ratio, end-to-end delay, and throughput. The paper concludes by highlighting the potential applications and benefits of the AGDT algorithm in MANETs.
Mathematical Analysis and Non-Linear Optimization of EV Battery Health Using Fuzzy Logic and Neural Computing Techniques
Authors: Sunil Kumar Gupta
Published: May 2024

This article is related to a mathematical optimization model of the electric vehicle (EV) battery health management, which is based on fuzzy logics and neural network models. The study achieves a neural network to recognize charging patterns and preceding SOC in addition to the full charge temperature dependent upon the duration and ampere within the Multiple-Stage Constant Current (MCC). The target is SOC of 83%, which is made in 43 minutes upon maintaining the optimal temperature factor (of about 35 degrees). 85°C, representing a 3. At this point we observed 30% higher specific output capacity (SOC) versus standard constant current-constant voltage (CC-CV) method with a very small temperature increase of only 0. 41°C. The project includes several technical specifications, such as 96s2p where the complete battery runs through 192 cells, 40 kWh nominal capacity and 350 V nominal voltage. The flow of work will be database creation and management, the design of the simulation, machine learning model creation, testing and evaluation. The dataset is built from a sample, which includes features like the temperature within the room, the starting temperature of the battery and the time points (t1, t2, t3, t4); these are used for the training the machine learning algorithm. The simulation is followed by determination of the SOC and battery temperature, which are utilized as target features by the model. In Exploratory Data Analysis (EDA) one can highlight all the essential statistics while developing neural network model. Approach incorporated means of data analysis which include distribution, identification, and correlation, and prepared the way for outliers to be handled. The optimization outcomes per 28 degrees display the performance of the joint neural network and fuzzy logic method. The model gives SOC level above 80% with final temperature below 40°C, in which the errors of the voltage and temperature are lower than 2% and 1%, respectively. The fuzzy logic does that it has a parameter choosing method that makes the final battery temperature to go down and thus improves SOC as compared to other parameters method. This paper gives an insight into the use of hybrid optimization via combining three main variables: fuzzy logic, neural networks as well as various criteria of battery health management, the final result is optimization of charging parameters into EV's life.
Mathematical Modelling of Hormonal Contraceptives and Cervical Cancer Risk
Authors: Shital Yadav
Published: May 2024

The kind of cancer which related with the cervix and that affects the cells of the cervix is called as the cervical cancer. The relationship between hormonal contraceptives (birth control pills) and cervical cancer risk is a complex and evolving area of research. In order to examine the association between hormonal contraceptives, or birth control pills, and cervical cancer risk both with and without vaccination. Mathematical model of cervical cancer built using the Human Papillomavirus. The model is constructed using an ordinary differential equation, and its validity is subsequently confirmed by the application of mathematical analysis methods. Building an accurate model requires obtaining relevant and trustworthy data on the length of birth control pill use and the risk of cervical cancer.
Assessment Model Construction of International Students’ Intercultural Adaptation Based on Dual Attention Graph Convolutional Network
Authors: Ruoshui Li
Published: May 2024

Intercultural adaptability predicated on sojourners' sociocultural adaptation to their new surroundings. Globalization and the development of communication technology have led to a sharp rise in cross-border migration. However, there are significant obstacles to intercultural adaption, including student variations in traditional English cross-cultural instruction, developing students' cross-cultural communication skills, and improving the caliber of instruction. This manuscript proposes a Dual Attention Graph Convolutional Network (DAGCN) optimized with the Cheetah Optimization Algorithm (COA) for assessment model construction of international students’ intercultural adaptation. The data are collected from Pakistani students at Huazhong University of Science and Technology, P.R. China.  Afterward, the data’s are fed to pre-processing. In pre-processing segment; it removes the noise and enhances the input data’s utilizing Adaptive Robust Cubature Kalman Filtering (ARCKF). The outcome from the pre-processing data is transferred to the DAGCN. The language proficiency, cultural awareness, communication skill, and emotional resilience are successfully classified by using DAGCN. The COA is used to optimize the weight parameter of DAGCN. The proposed DAGCN-COA is utilized within the MATLAB/Simulink software environment. Performance metrics including accuracy, precision, sensitivity, F1-score, calculation time, and recall were examined in order to determine the proposed strategy. The proposed DAGCN-COA technique yields higher precision (14.89%, 16.89%, and 18.23%), higher sensitivity (16.34%, 12.23%, and 18.54%), shorter computation times (82.37%, 94.47%, and 87.76%), and higher accuracy (16.65%, 18.85%, and 17.89%).The proposed ISIA-DAGCN-COA method is compared with the existing methods such as ISIA-ANN, ISIA-CNN, and ISIA-RBF, respectively.
Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm
Authors: Juan Zheng
Published: May 2024

Aesthetics are significant because they may elicit emotions, induce feelings of pleasure or desire, and convey an item's perceived worth and desirability. A well-designed and visually appealing product might stick apart in a competitive market and capture the interest of customers. In contrast, a badly constructed product may be disregarded or considered as inferior quality, regardless of its real functioning. In this manuscript, Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm (PAAID-VONN-OOA) is proposed. The input image is collected from the Product Design Aesthetic Database. Then the images are pre-processing using Master-Slave Adaptive Notch Filter (MSANF) to remove the noise. The pre-processed image is given into the Variational Onsager Neural Networks which is used for Product Appearance Aesthetics in Industrial Design. In general, the Variational Onsager Neural Network does no express adapting optimization techniques to determine ideal parameters to assure precise prediction. Therefore, it is proposed to utilize the Osprey Optimization Algorithm enhancement Variational Onsager Neural Network for Product Appearance Aesthetics in Industrial Design. The proposed PAAID-VONN-OPA method is implemented on python. Then, the performance of proposed technique is compared with other existing techniques. The proposed technique attains 16.28%, 30.78% and 25.29% higher accuracy, 29.13%, 18.47%, and 31.69% higher precision, 28.96%, 33.21% and 23.89% higher specificity comparing with the existing methods such as An Aesthetic Measurement Approach for Evaluating Product Appearance Design (PAAID-ETT)Research on Modern Book Packaging Design under Aesthetic Evaluation Based on Deep Learning Model (PAAID-SVM), and Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning (PAAID-DCNN).
Optimizing Power Management in IoT Devices Using Machine Learning Techniques
Authors: Arvind Kumar Pandey
Published: May 2024

With the multiplication of IoT gadgets across different spaces, enhancing power the board has turned into a basic concern. These gadgets frequently work in asset compelled conditions where energy productivity is foremost. The use of machine learning to improve IoT devices' power management is the subject of this study. IoT devices can use machine learning algorithms to adapt their power consumption patterns based on contextual factors and user behavior, extending battery life and increasing system efficiency. Power management in IoT devices can be improved with the help of ML by reviewing previous research, highlighting obstacles, and offering potential solutions
The Plane Composition Law of Li Nationality's Totem Pattern Decorative Dymbols in Hainan Tropical Gardens
Authors: Yuping Wu
Published: May 2024

Aking the composition law of Li totem patterns in tropical gardens in Hainan as the research object, this paper selects Li totems with different totem pattern types and meanings, quantitatively analyzes the proportion scale relationship between the whole and part of various totem patterns by using Photoshop, aotucad, Excel and other related software, and summarizes the plane composition proportion law of totem human pattern, dragon pattern, frog pattern, deer pattern, bird pattern, petal pattern, fish pattern, bat pattern and turtle pattern, Its formal beauty composition conforms to the characteristic proportion of integer ratio 1 / 2, 1 / 3 and 1 / 4, which is helpful to explore the quantitative method of the formal beauty of totem landscape composition, and provide a reference for the further application of Li totem pattern plane composition in Hainan tropical gardens.
Application of DC-DC Converter for Grid Connected Inverter using PV Cell
Authors: Tejas B. Maniar
Published: May 2024

The purpose of this paper is to provide general knowledge about photovoltaic (PV) cells. The modeling of photovoltaic cell is carried out to obtain typical I-V and P- V characteristics of photovoltaic cells. The voltage available at PV panel terminals is rapidly changing and for that it needs to processed constant voltage output. A boost converter use for step up the input voltage and keep output voltage constant. Photovoltaic array has an operating point and it’s called maximum power point, which depending on cell temperature and the irradiation level and array voltage. The maximum power point tracking (MPPT) is needed to operate the PV array at its maximum power point. The maximum power point tracking is proposed utilizing a boost converter topology. Solar panel voltage and current are continuously observed by a closed loop microcontroller based control system and the duty cycles of the boost converter continuously adjust at maximum power. Various algorithms for MPPT are available. In this paper used the perturb-and-observe algorithms to achieved maximum power.
Writing Archaeological Labour at Qau, Egypt, in the 1920s
Authors: Horn Maarten
Published: May 2024

This article offers a cautionary tale about exclusively relying on official archaeological reports for writing histories of archaeological labour. It investigates a small personal collection of postcards and photographs by British field assistant James Leslie Starkey to interrogate the representation of Egyptian labour in the official reports of an archaeological project run by the British School of Archaeology in Egypt (BSAE) at Qau, Egypt, in 1922–23. The postcards raise two points that the reports contest or fail to address: the Egyptian efforts of setting up camp and the Egyptian autonomy in seeking out new areas for excavation. I argue that these discursive strategies were entangled with an early 20th century style of writing reports, archaeology’s restricted self-image as primarily a field-based practice, hierarchical structures and representations, and an orientalist and colonialist discourse that sees archaeological knowledge as produced by European ‘heads’, never Egyptian ‘hands’. Unfettered by disciplinary standards, these ‘informal’ postcards give a glimpse of an archaeological project whose work was more collective and comprehensive than its official reports ever made it out to be.
Investigating The Benefits Of Pre- And Post-Training Of Behavioral Treatment Among Juvenile Delinquency In Case Youth Correction Center, Woliata, Ethiopia.
Authors: Getachew Asketil , Parmar Rajendra Kumar
Published: May 2024

In the modern world, adolescent offenders are becoming more and more common in all nations, developed, or developing. Ethiopia is among the less developed nations in the world and in Africa, and it has undoubtedly experienced serious issues related to young people. This study aims to assess the efficacy of pre and post training of cognitive behavioral treatment in lowering juvenile offenders' recidivism rates in the context of the Wolaita Ethiopia Youth Correction Center. 150 young people were used as a sample for this study, which was conducted in the youth punishment center in Wolaita, Ethiopia. Descriptive and mixed research methodologies were used in this study's design, and multiple regression analyses and t-tests were used for analysis. According to the t-test result, there is a significant difference between the pre-treatment and control groups when assessing the efficacy of CBT for young people in juvenile detention facilities. Additionally, the results of the multiple regression analysis show that the effectiveness of pre and post training of CBT is positively correlated with family, the economy, culture, communication, substance use, mortality, access to education, and school attendance. Conversely, peer pressure, broken families, and parenting style are negatively correlated. We draw the conclusion that, to assess the efficacy of CBT in pre and post training the research area, all relevant bodies ought to pay close attention to the primary variables that have been discovered.
Nurse care to promote the growth and development of premature babies: systematic review
Authors: Oliveira Andressa , Camboin Franciele Foschiera , Goes Eliane Pinto de , Lima Moisés Alves de
Published: May 2024

Objetcive: Was to systematcally search the literature for studies that describe the nurses care in promoting the growth and development of premature babies. Method: Systematic review where the indexed databases were consulted: PubMed, Scopus, Web of Science, Lilacs, Embase, Cochrane, and in the grey literature: Google Schoolar. There was no period or language limitation. Results: The main nursing care identified by the included studies were childcare assessments according to corrected age, home visits to observe the growth of the newborn and health education actions to parents on the main care related to premature babies. Conclusion: The interventions and care observed are valid for preventing morbidity, mortality and new hospitalizations, improving the quality of life of babies and resulting in adequate growth and development, and should be introduced in primary health care in conjunction with other health professionals and care provided by parents at home.
Стійкість критичної енергетичної інфраструктури та життєдіяльності громад
Authors: Суходоля О. М.
Published: May 2024

В аналітичній доповіді уміщено огляд методологічних підходів щодо визначення мети, завдань і змісту діяльності із забезпечення безпеки та стійкості критичної інфраструктури, яка підтримує життєдіяльність громад. Представлено концептуальну модель формалізації вимог до діяльності у сфері стійкості, окреслено структуру заходів забезпечення стійкості за етапами циклу кризового реагування. Запропоновано розроблені методологію визначення завдань суб’єктів кризового реагування, необхідних і можливих рівнів стійкості функціонування критичної інфраструктури та надання життєво важливих функцій і послуг. Запропоновано принципи планування стійкості, орієнтовні типову структуру та зміст плану стійкості життєдіяльності громад. Розраховано на експертів, науковців, менеджерів, які працюють у сфері національної безпеки, суб’єктів владних повноважень, представників громадських організацій, а також усіх, хто цікавиться проблематикою стійкості функціонування критичної інфраструктури, забезпечення життєво важливих функцій та надання послуг. Дослідження буде корисним для формування цільових параметрів стійкості різних сфер управління, формалізації інструментів планування стійкості, розроблення практичного інструментарію регулювання діяльності всіх суб’єктів, залучених до забезпечення стійкості життєдіяльності суспільства.
تفسیر ''صفوۃ التفاسیر'' کے بلاغی منہج کا تحقیقاتی جائزہ
Authors: Dr. Marvah Iqbal
Published: May 2024

Rhetoric refers to the use of language in speech or writing, especially in speech, with both external and internal qualities. This is such a miraculous aspect of the Qur'an, without understanding it, it becomes impossible to reach the real meaning and purpose of the divine word. That is why the commentators of every age have adopted the style of rhetorical explanation of the Qur'anic verses while interpreting the Qur'an."Safwat Al-Tafaseer" is one such rhetorical commentary of the 20th century in which Allama Muhammad Ali Sabooni has shed light on the rhetorical aspect of the verses in great detail. Therefore, in this article, the rhetorical method of Allama Muhammad Ali Sabooni’s commentary " Safwat Al-Tafaseer " is presented.
Long Jump Ability: Analyze of Leg Explosive Power and Running Speed for Junior High School Students
Authors: Audina Anggi , Maya Sary Dewi , Karo Purba Awansyah Putra , Sentosa Halawa Bebi Putra
Published: May 2024

The  purpose  of  the study. aims to determine the contribution of leg explosive power and running speed to long jump ability.
Materials and methods. a research sample of 30 male students. Measurement of leg explosive power is determined by the ability to jump long without starting (standing broad jump). Running speed measurements are determined by running a sample distance of 30 meters. Measurement of long jump ability is determined by a sample of jumping as far as possible in the jumping.
Results. The results showed that leg explosive power, leg length and running speed contributed to long jump ability (r > 0.05). The results show that leg explosive power and long jump ability contribute (r = 0.58). There was a contribution in the correlation test between running speed and long jump ability (r = 0.51). The results of the multiple correlation test of leg explosive power and running speed with long jump ability showed that there was a contribution (r=0.70 and r2 = 0.49)
Conclusions. There is a contribution between leg explosive power, leg length and running speed to long jump ability. The influence of physical activity and regular and structured training also greatly influences a person's long jump ability