bluuebunny/crossref_metadata_2025 huggingface dataset:
KAJIAN PERAN PEREMPUAN DALAM USAHATANI SAYURAN YANG BERLANDASKAN ZERO WASTE DI KECAMATAN BISSAPPU KABUPATEN BANTAENG
Authors: Syarif Asriyanti , Zainuddin Mutmainnah
Published: May 2024

Penelitian ini untuk mengetahui peran wanita tani dalam  pengembangan  usahatani sayuran  dan pemanfaatan limbah pertanian, menganalisis curahan waktu kerja wanita tani dalam pengembangan usahatani sayuran, menganalisis pendapatan usahatani sayuran  dan kontribusinya  bagi peningkatan pendapatan keluarga, Selain itu mengetahui nilai tambah yang diperoleh perempuan tani dalam pengolahan limbah pertanian. Penelitian dilaksanakan di Kecamatan Bissapu Kabupaten Bantaeng, dengan sampel 30 orang perempuan tani yang melakukan usahatani sayuran dan melakukan pengolahan limbah pertanian. Pendapatan perempuan tani, curahan waktu, kontribusi perempuan tani dalam peningkatan pendapatan keluarga, dan nilai tambah dari pengolahan limbah pertanian sebagai salah satu konsep dalam zero waste. Hasil penelitian menunjukkan peran perempuan tani mengalami pergeseran dan meluas. Selain menjadi juru tani, bertindak dalam pengambilan keputusan, manajer usahatani serta mengelolah limbah pertanian yang memberikan nilai tambah. Curahan waktu yang dibutuhkan berkisar 2.5 jam/hari dengan melakukan pengolahan lahan, pemeliharaan, dan panen selama kurun waktu 2 bulan (1 musim tanam). Pendapatan usahatani sayuran Rp.244.483,97/bulan dan memberi kontribusi bagi pendapatan keluarga sebesar Rp. 7.03 %. Nilai tambah yang diperoleh dari pengolahan tongkol jagung yang merupakan limbah pertanian sebesar Rp. 7.000/kg,-dengan rasio nilai tambah 35 % untuk 1 kg tongkol jagung yang diolah menjadi media tanam.
PRODUKTIVITAS HASIL TANGKAPAN DAN KOMODITAS UNGGULAN PERIKANAN TANGKAP KABUPATEN ACEH JAYA
Authors: Chaliluddin Makwiyah A. , Amri Saiful , Aprilla Ratna Mutia
Published: May 2024

Research on superior commodities in Aceh Jaya District, this study examined the productivity of catches and leading capture fisheries commodities in Aceh Jaya District. The next thing to consider to capture fisheries' productivity was the determination of superior commodities in the management of the capture fisheries sector. The research was conducted on February 1, 2018 until March 31, 2018, located in Aceh Jaya District (including; Ujong Muloh fishing port, Patek fishing port, Rigaih fishing port, and Calang fishing port). Data collection methods were observations, interviews, and tracing literature. The productivity of catches was analyzed using Catch Per Unit Effort (CPUE) calculations for the 5 years (2011-2015), while the determination of superior commodities was analyzed by location quotient (LQ) dan comparative performance index (CPI) analysis. The higher CPUE value was found in tuna, the highest number in 2014 amounting to 5193.3 kg/trip. Superior fishery commodities in Aceh Jaya District were Scomberomorus fish with a CPI analysis value was 1,052.92, followed by Euthynnus affinis (515.54), Caranx ignobilis (398.59), Thunnus (309.18), Engraulidae (263.08) and skipjack (234.58).
Profil Metabolik Jalur Glikogenolisis Puyuh dalam Kondisi Stres Panas dengan Pemberian Diallyl n-Sulfida (Dn-S) Organik
Authors: Mushawwir Andi , Suwarno Nono , Latipudin Diding
Published: May 2024

The heat stress plays an important role for reducing feed utilization, blood profile, growth performance, and its influence performance and economic loss. Supplemented of diallyl n-sulfide of garlic is one the efforts to avoid the negative impact of heat stress. One hundred anh twenty five of female quails, 11 weeks of age, were used ini this study to investigate the impact of garlic diallyl n-sulfide (Dn-S) on metabolic of quail glycogenolysis pathway. Animal sample were obtained at 11 wk of age ramdomly assigned to five groups of treatment. Each group of treatment involved 5 replicates with 5 quails each (25 laying quails per group). All of the groups were provided basal diet and orally administered with treatements group i.e. group of thermoneutral zone (24°C) without Dn-S; group of heat stress (38°C) without Dn-S; group of heat stress (38°C) and 75 µL of Dn-S; group of heat stress (38°C) and 100 µL of Dn-S; group of heat stress (38°C) and 125 µL of Dn-S. Based on the result in this experiment showed that heat stress contibutes of the increase of glycogenolysis and metabolic compund, also enzime which is catalized its pathway. The Administered of 125 µL of Dn-S decreased glycogenolysis rate, effectivelly. In conclusion, Dn-S plays the main role to avoid exrtacelluler osmotic and metabolism fluctuation related heat stress.
Kelayakan Investasi Produksi Keripik Udang (Litopenaeaus vannamei) Menggunakan Penggorengan Vakum
Authors: Ismanto Hari , Rusli Arham
Published: May 2024

Investment feasibility studies are needed to determine whether a business is feasible or not to run. The shrimp chips industry utilizes shrimp raw materials which are available quite a lot in the market. Vacuum frying is a frying process at low temperatures and pressures lower than atmospheric pressure to produce healthy and high-quality food. The research objective was to determine the feasibility of investing in shrimp chips resulting from vacuum frying and to determine the sensitivity of changes in raw material input and profit deficits. The results of the investment feasibility analysis with an interest rate of 20% using a vacuum fryer with a capacity of 6 kg per process are feasible to run according to the investment feasibility analysis parameters, namely Net Present Value (NPV) IDR 119,535,863.15; Net B/C 1.94; Payback Period (PP) 1 year 9 months; Break Event Point (BEP) for IDR 211,041,152.22 and Break Event Point (BEP) for production of 703 kg. The results of the sensitivity analysis to raw material input if it increases by 10%, the investment is feasible except for the Net B/C parameter (0.26) or less than 1, and the sensitivity analysis to profits if it decreases by 10%, indicates that the investment is not feasible to run.
Kualitas Fisik dan Kandungan Protein Kasar Silase Kulit Buah Kakao Berbeda Klon Sebagai Pakan Ternak
Authors: Fitriawaty F , H Rahmi , Nurhafsah N , Andriani Ida , Fitrahtunnisa F
Published: May 2024

This study aims to determine the physical quality and crude protein content of cocoa pod husk silage (CBC) from different clones. The pods used came from six clones, namely Sulawesi1 (S1), Sulawesi2 (S2), Local 01 (L01), local 02 (L02), local Padantana (LP), and a mixture of all clones (S1+S2+L01+L02+LP), which is referred to as mixed silage. The study used a completely randomized design (CRD) with silage treatment of cocoa pod husks for each clone with 30% rice bran added. Meanwhile, the bran was not added to mixed silage. The data were analyzed using the analysis of variance test (ANOVA), and the Duncan test followed the difference between treatments. The results showed that the silage of all clone treatments had good physical quality with a distinctive sour fermentation aroma and a color that did not differ much from the original color of each clone's cocoa pods. There are differences in crude protein content of mixed cocoa pod husk silage and between clones. The highest crude protein content was found in mixed silage, namely 6.02%, and the lowest in local clones 02, namely 4.80%.
Manajemen Pengendalian Mutu Dalam Produksi Agribisnis pada Kelompok Wanita Tani Ayu Tangkas
Authors: Sukanteri Ni Putu , Suparyana Pande Komang , Suryana I Made , Yuniti Diah , Verawati Yenny
Published: May 2024

Quality control is needed by the company to improve the quality of the products produced so that they are by the company's standards and by consumer desires. Maintaining the quality of the products made is also necessary to reduce the company's quality assurance costs. The research objective was to analyze the quality control of the products produced and identify the factors that damage the products produced by the Ayu Tangkas Women Farmers Group (WFG). The method used in this research is the Statistical Process Control (SPC) method with analysis using the p-control chart and the Fishbone Diagram. The population in the study were all products produced by WFG Ayu Tangkas in December 2019. The results showed that the quality of snacks made by WFG Ayu Tangkas, as many as 4280 pieces, were under control. This can be seen from the 28 points between the Lower Control Limit (LCL) and Upper Control Limit (UCL). There are only two points that are above the UCL control limit. The factor that causes deterioration in Ayu Tangkas WFG snacks' quality is that the ingredients are not measured with certainty using only the snack maker considerations. Besides, they do not use manufacturing machines, so that the sizes are often not the same because there is no definite SOP for the manufacturing process. There is no promotion so that snacks are made still at a constant volume and the use of firewood in the manufacture so that the heat generated is unstable, causing the snacks to burn and break frequently.
Imperial and Soviet experience of the policy of agrarian resettlement in the Russian Far East: Similarities and differences
Authors:   Blagoveschensk State Pedagogical University, Piskunov S.A.
Published: May 2024

The article examines the current scientific problem of implementing state agrarian resettlement to the Far East in the 1850–1980s. The use of a systematic approach made it possible to determine, on the one hand, the influence on the resettlement process of a subjective factor – political, and on the other – demographic, objective. Taking into account these factors it is possible to highlight the similarities and differences of state resettlement within the studied chronological framework on the following grounds: state tasks, conditions for providing land, tax and other preferences, organization of transportation, loans and cash benefits, geography of resettlement places. The study found that during the time under study, resettlement traditionally remained a way to solve militarypolitical and socio-economic problems. The relationship was also evident in migration incentive measures – benefits (loans, benefits, housing, travel), and the geography of new settlers. The uniqueness of the Soviet period lay in the planning and mobilization nature of the implementation of the resettlement policy. Significant differences include differences in the use of land and the size of land plots.
Development Study: Ethnomathematics-Based Digital Worksheets With A Realistic Approach
Authors: Saputri Winda Alma , Wahyuni Sri
Published: May 2024

Cultural diversity in Indonesia can be utilized by integrating it into education using a learning model, the RME or PMR. The developmenti of technology in the latest era shapes new mindsets and attitudes in society, requiring discoveries in mathematics learning. This study aims to create an interactive learning medium based on digital technology for junior high school students in grade VIII.B that is valid, practical, effective, and has a potential effect on student learning outcomes. The type of research applied is design research type development study and consists of two stages, namely preliminary and formative evaluation (self-evaluation, expert reviews, one-to-one, small group, and field test). The data analysis method is carried out descriptively using questionnaire results, interview results, and student tests. Based on what will happen, the media research developed must be valid, practical, effective, and have a potential impact. The validity is seen from the validation of material experts as much as 3.4 and media experts as much as 3.28, which is included in the very valid category. Furthermore, the media can be used by students to determine the practicality of the LKPD digital media. The practicality of learning media that has been developed in the small group step of 3.4 is included in the very easy or very practical category. Students are given a test before and after using the LKPD Digital media to determine the effectiveness of LKPD Digital. It was found from the N-Gain Score test results that the LKPD digital media was quite effective.
Preliminary Study On The Development of Project-Based Learning Module to Improve Students' Mathematical Problem Solving Ability
Authors: Difinubun Fajria Ahmad , Makmuri Makmuri , Hidayat Flavia Aurelia
Published: May 2024

Mathematical problem solving skills are important for high school students, but are still low. The contributing factor is that learning does not emphasize problem solving and involve students. Teaching materials are not suitable with students' characteristics. Teacher skills in developing problem solving-based learning are still low. This study aims to develop a learning module based on Project Based Learning (PBL) to improve the mathematical problem solving skills of high school students in grade XI on the sequence nd series topic. Testing the effectiveness of the PBL module on improving students' mathematical problem solving skills. This research uses the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model to develop the PBL module. In the analysis stage, data were collected through observation, questionnaires, interviews, and tests to find out students' problems in learning the material of sequence nd series. The test results of students' mathematical problem solving skills showed that 91% of students had low mathematical problem solving skills. At the design stage, the PBL module was designed by considering the results of the student needs analysis and the characteristics of the sequence nd series material. This module contains various learning activities that involve students actively in solving problems related to everyday life.In the next stage, the PBL module that has been designed will be implemented in the experimental class and tested for its effectiveness in improving students math problem solving ability.
KR-Heuristic Learning: Strategies to Develop Mathematical Lateral Thinking Skills for Gifted Students
Authors: Fatra Maifalinda , Kurniawati Lia , Sihombing Adison Adrianus , Maisalamah Hesti
Published: May 2024

Berpikir lateral merupakan proses kreatif yang dilakukan seseorang dalam memecahkan masalah. Penelitian ini bertujuan untuk menganalisis kemampuan berpikir lateral matematis siswa berbakat, selama dan setelah diberikan strategi Heuristik-KR. Penelitian ini menggunakan metode single subject research (SSR) dengan desain A-B-A yang dilaksanakan di salah satu madrasah aliyah di wilayah Tangerang Selatan tahun ajaran 2019/2020. Subjek penelitian ini adalah 3 siswa yang termasuk dalam kategori siswa berbakat. Instrumen penelitian yang digunakan adalah tes esay yang telah diuji validitas isi dan reliabilitasnya. Data dianalisis menggunakan statistik deskriptif dengan penyajian data melalui grafik dan tabel. Hasil penelitian menunjukkan bahwa kemampuan berpikir lateral matematis tertinggi untuk ketiga subjek diperoleh pada kondisi baseline 2 (A2). Kemampuan berpikir lateral matematis G1 dan G3 pada kondisi intervensi lebih rendah dari baseline 1 dan 2. Untuk G2, kemampuan berpikir lateral matematis pada kondisi baseline 2 lebih tinggi dari intervensi dan baseline 1. Dalam penelitian ini dapat disimpulkan bahwa strategi Heuristik-KR yang terdiri dari tahapan membaca dan berpikir, mengeksplorasi dan merencanakan, memilih strategi, menemukan jawaban, serta merefleksikan dan memperluas cukup efektif. Strategi Heuristik-KP berpengaruh terhadap kemampuan berpikir lateral matematis pada indikator identifikasi ide, keterbukaan, pengembangan, fleksibilitas, orisinalitas, dan analisis fakta.
Lateral thinking occurs when students used a creative method to solve problems. This study aimed to analyze the mathematical lateral thinking skills of gifted students during, and after being given the Heuristic-KR strategy. This study used a single subject research (SSR) method with an A-B-A design which was carried out at one of the aliyah madrasas in the south Tangerang for the 2019/2020 academic year. The study involved 3 gifted students and use a descriptive test that had been tested using content validity and reliability. The data were analyzed using descriptive statistics by presenting data through graphs and tables. The results showed that the highest mathematical lateral thinking ability for the three subjects was obtained during baseline condition 2 (A2). The mathematical lateral thinking ability of G1 and G3 reached the lowest score in the intervention condition. For G2, the mathematical lateral thinking ability reached the highest score in the baseline 2. The study concluded that the Heuristic-KR strategy was quite effective, consisting of reading and thinking stages, exploring and planning, selecting a strategy, finding an answer, and reflecting and extending. The Heuristic- KP strategy affected the mathematical lateral thinking ability on the indicators of idea identification, openness, development, flexibility, originality, and facts analysis.
Mathematics Curriculum Management of Distance Learning Program in Junior High School
Authors: Syaputra Adi , Hidayati Dian , Hasanah Enung
Published: May 2024

Penerapan pembelajaran jarak jauh atau pembelajaran tatap muka di era pendidikan normal baru memiliki implikasi psikologis bagi siswa termasuk pada pelajaran matematika. Penelitian ini bertujuan untuk menemukan model konseptual implementasi manajemen kurikulum dalam pembelajaran matematika jarak jauh di SMP. Penelitian ini merupakan kualitatif dengan pendekatan deskriptif dengan data berasal dari 10 SMP, data diperoleh secara kolektif berupa wawancara dari narasumber. Data diolah dengan aplikasi atlas.ti 8 kemudian divalidasi dan melakukan triangulasi sumber sehingga muncul hasil penelitian yakni (1) strategi pelaksanaan manajemen kurikulum dalam pembelajaran matematika jarak jauh yang diterapkan di pimpin langsung oleh kepala sekolah dengan bentuk brakedown peraturan, (2) pembelajaran yang dilakukan oleh guru berdasarkan perencanaan yang telah disusun oleh guru pada awal tahun ajaran, (3) sarana prasarana untuk pelaksanaan pembelajaran sudah terpenuhi, (4) pelatihan yang diberikan pada guru sudah di program oleh kepala sekolah dengan periodik, (5) pembentukan kelas yang dilakukan berfungsi untuk mengelompokan peserta didik sesuai dengan minat dan kemampuannya, (6) kendala yang dihadapi oleh guru adalah sulit mengetahui eksperesi peserta didik saat pembelajaran, (7) kendala yang dihadapi oleh peserta didik adalah jaringan dan kuota yang dimiliki oleh peserta didik sehingga sulit memahami materi yang disampaikan oleh guru.
 
The implementation of distance learning or face-to-face learning in the new normal education era has psychologically affected the students, including in mathematics learning. This study aimed to find a conceptual model to implement curriculum management of distance learning in mathematics in junior high schools. This qualitative descriptive study collected data from 10 junior high schools. The data were obtained collectively by using interviews. The data was processed using the atlas.ti 8 application and then validated and triangulated the sources so that the results of the research emerged, namely, the implementation strategy of curriculum management of the distance learning in was directed by the school principal in the form of regulatory breakdown, learning carried out by the teacher based on the plan prepared by the teacher at the beginning of the school year, the infrastructure of the learning process was provided, the training provided to teachers was programmed by the principal periodically, the class distribution was based on the student’s interests and abilities, the obstacle faced by the teacher was that it was difficult to know the expressions of the students during learning, the obstacles faced by students was the internet quota and unstable network to such an extent that students were having difficulties to understand the materials delivered by the teacher.
Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models
Authors: Petrovic Aleksandar , Jovanovic Luka , Venkatachalam K. , Zivkovic Miodrag , Bacanin Nebojsa , Budimirovic Nebojsa
Published: May 2024

Efforts in cardiovascular disorder detection demand immediate attention as they hold the potential to revolutionize patient outcomes through early detection systems. The exploration of diseases and treatments, coupled with the potential of artifical intelligence to reshape healthcare, highlights a promising avenue for innovation. AI-driven early detection systems offer substantial benefits by improving quality of life and extending longevity through timely interventions for chronic diseases. The evolving landscape of healthcare algorithms presents vast possibilities, particularly in the application of metaheuristics to address complex challenges. An exemplary approach involves employing metaheuristic solutions such as PSO, FA, GA, WOA, and SCA to optimize an RNN for anomaly detection using ECG systems. Despite commendable outcomes in the best and median case scenarios, the study acknowledges limitations, focusing on a narrow comparison of optimization algorithms and exploring RNN capabilities for a specific problem. Computational constraints led to the use of smaller populations and limited rounds, emphasizing the need for future research to transcend these boundaries. Significantly, the introduction of attention layers emerges as a transformative element, enhancing neural network performance. The introduced optimizer proves robust across test scenarios, effectively navigating local minimum traps. Attention layers contribute to a substantial performance boost, reducing the error rate from 0.006837 to an impressive 0.002486, underscoring their role in focusing on pertinent information. This abstract advocates for further research to expand beyond these limitations, exploring novel algorithms and addressing broader medical challenges in the pursuit of refined and advanced solutions.
Fault detection method of new energy vehicle engine based on wavelet transform and support vector machine
Authors: Yuan Guolun , Yang Yuhao
Published: May 2024

In order to solve the problem that existing methods are affected by fundamental frequency and harmonic frequency oscillation of new energy vehicle engine, a new energy vehicle engine fault detection method based on wavelet transform and support vector machine is proposed. Firstly, a detection model of abnormal noise signal of automobile engine fault is established, and the time-frequency parameters of basis function are adjusted adaptively. Then, the mechanical excitation component and the battery excitation component in the engine surface radiation noise are separated, and the new energy vehicle engine fault signal is decomposed by feature decomposition and multi-scale separation. Finally, wavelet transform combined with support vector machine algorithm was used to extract fault features of new energy vehicles, fuzzy clustering was carried out, and time-frequency analysis of fault signals was carried out in fractional Fourier domain to realize fault detection of new energy vehicle engines. The test results show that the method has high fault identification level and good clustering of fault feature points for new energy vehicle engine fault detection, and can effectively improve the ability of engine fault detection with good application effect.
Employer representatives’ experiences of supporting employees with cognitive impairments in a digital work environment
Authors: Lindberg Monika , Larsson-Lund Maria , Berg Jansson Anna , Ranner Maria
Published: May 2024

BACKGROUND: Digital work poses cognitive demands on all employees, but the impact is greater for employees with cognitive impairments. Digitalization also has significant implications for employer representatives as they are responsible for the work environment. However, knowledge is scarce concerning employer representatives’ perspectives on identifying needs and support for employees with cognitive impairments working in a digital work environment. OBJECTIVE: To describe employer representatives’ experiences of work environment management with focus on employees with cognitive impairments working in a digital environment. METHODS: Focus group methodology was used. Six employer representatives with work environment responsibilities participated. RESULTS: One overall theme “Mastering the interconnected processes in a transformative digital work environment” as well as three themes “Facilitating good digital work conditions”, “Identifying needs and difficulties in work tasks among employees’ with cognitive impairments” and “Pursuing knowledge and collaborations to support employees with cognitive impairments” with subthemes were identified. The themes describe employer representatives’ challenges and efforts to identify fluctuating needs in employees with cognitive impairments and, also, to organize and reduce cognitive demands in the work environment to support them. CONCLUSIONS: Managing the challenges of an evolving digital work environment and matching individual work ability of employees with cognitive impairments in relation to cognitive demands is an ongoing process. The participants valued cooperation with employees with cognitive impairments but lacked support from expertise. The need to develop and implement a functioning support system for vocational rehabilitation to ensure a sustainable work in digital work environments is indicated.
Formulation Design and in Vitro Evaluation Studies of Antidepressant Venlafaxine Hydrochloride Oral Drug Delivery Systems
Authors: Kumar Putta Rajesh , N Meena , P Poojitha , P Sowjanya , U Shivaleela , JVC Sharma
Published: May 2024

Background: Venlafaxine Hydrochloride a serotonin, nor epinephrine reuptake inhibitor, oral antidepressant used to treat depression.
Objective: The present study was aimed at studying controlled release of Venlafaxine Hydrochloride with Guargum, Hydroxy propyl methyl cellulose as matrix polymers, Micro crystalline cellulose as binder and Dicalcium phosphate as diluent filler.
Methods: Tablets were studied for pre, post compression, swelling and in vitro dissolution studies. Drug release was analyzed by release kinetic models.
Results: Preformulation studies revealed that the drug procured was pure. Analytical method was linear and precise. The rheological parameters were within the ideal limits and suitable for compression. Swelling index increased with increase in matrix polymer content. In vitro studies showed drug release, sustained for 18 to 24 h. Optimized formulation V5 released 14.32±0.430% in 2 h. At the end of 12 and 24 h it has released 49.37±0.685% and 98.31±0.435% of drug respectively and followed peppa’s kinetics with anomalous (Non fickian) diffusion mechanism of drug release.
Discussion: The drug release from swollen gel matrix occurred initially by drug diffusion followed by polymer chain relaxation and erosion. The in vitro release kinetics from majority of formulations followed Peppa’s and zero order kinetics. The peppa’s n values indicated drug release via anomalous (non fickian) diffusion and super case II transport.
Conclusion: Venlafaxine HCl release form tablets sustained up to 24 h which could provide better bioavailability and improved patient compliance.
Keywords: Venlafaxine HCl, controlled release matrix tablets, guar gum, Hydroxy propyl methyl cellulose, In vitro studies, Release kinetics.
Enhanced Adaptive Security Algorithm (EASA) for optimized performance in smart city networks
Authors: Ram M. Sethu , Anandan R.
Published: May 2024

The Enhanced Adaptive Security Algorithm (EASA) is crafted to bolster the robustness of smart city network security, specifically targeting the dynamic and complex nature of these networks. Its primary objective revolves around enhancing the adaptability of network security, focusing particularly on traffic management applications within smart cities. EASA emerges from the foundation of the Adaptive Multi-Layer Security Framework (AMLSF), integrating advanced deep learning techniques and leveraging optimized encryption for a more adaptive and efficient solution. In addressing the limitations of traditional security solutions, EASA exhibits superior performance in real-time responsiveness and efficient encryption compared to existing models, such as AMLSF. A comprehensive evaluation of EASA’s performance metrics reveals an adaptability rate of approximately 90%, underscoring its efficacy in adapting to varying network conditions and threats. The integration of machine learning algorithms in AMLSF, a pivotal aspect of EASA, facilitates dynamic security adaptation, crucial for real-time responsiveness and robust encryption in smart city networks. EASA’s advanced use of deep learning techniques and efficient data processing capabilities effectively complement and enhance the overall network security, addressing scalability issues and adding layers of security, especially in IoT environments within smart cities. Performance metrics such as threat detection accuracy (TDA), encryption efficiency (EE), key generation efficiency (KGE), adaptive response time (ART), system overhead score (SOS), and overall security efficiency (OSE) are employed to evaluate EASA. These metrics collectively reflect the algorithm’s ability to detect true threats, efficiently encrypt data, generate keys swiftly, respond adaptively to changes, manage system resources effectively, and provide an overall efficient security solution. EASA demonstrates impressive performance metrics, with an accuracy of 92%, precision of 91%, recall of 90%, and an F1 score of 90.5%, indicating its superior capability in smart city network security compared to AMLSF and CNN. This robust performance, coupled with its adaptability and efficiency, positions EASA as a promising solution for next-generation smart city security frameworks, advocating for user privacy and ethical data handling while encouraging collaborative efforts for continuous refinement.
Identification of bottlenecks and solutions for secondary school music teachers’ career development in Jiangxi Province based on data mining
Authors: Liu Shunwei
Published: May 2024

In the enchanting realm of music, where talent and passion intertwine, music teachers play a vital role in nurturing young minds and shaping the future of music. However, in Jiangxi Province, these dedicated educators face numerous challenges that hinder their career growth. To uncover the bottlenecks and offer viable solutions, data mining provides a powerful tool for analysis. Through the lens of data mining, this article delves into the unique challenges faced by music teachers in Jiangxi Province. By examining factors such as limited resources, inadequate support systems, and outdated teaching methods, we aim to identify the underlying issues that impede their professional development. Moreover, we explore practical strategies and innovative approaches that can be implemented to overcome these barriers. Join us on this melodious journey as we combine data-driven insights with our expertise to illuminate the path towards a thriving career for music teachers in Jiangxi Province. With a focus on sustainability, inclusivity, and fostering a nurturing environment, we believe that by empowering educators, we can cultivate a harmonious future for music education in the region.
Revolutionizing healthcare with fog computing, IoT, and machine learning: An innovative framework for enhanced data security and QoS optimization
Authors: Lalit Mohit , Bathla Gaurav , Singh Surender
Published: May 2024

Real-time health monitoring technologies, such as fog computing (FC) and Internet of Things (IoT) sensors, have brought in a new era of healthcare. Healthcare services have accepted IoT with great ease, in accordance with Industry 4.0 goals which helped by strong fundamental components such as FC. This research uses cutting-edge technologies like fog computing and IoT to present a novel framework for meeting the changing demands of the healthcare monitoring system. With the use of machine learning, this work seeks to improve crucial communication characteristics and further the research by identifying the best security method based on the occupations of the patients. For optimisation, the framework makes use of the Firefly (FFLY) and Grey Wolf Optimisation (GWO) algorithms. Furthermore, Elliptic Curve Cryptography (ECC) and Rivest-Shamir-Adleman (RSA) encryption techniques are taken into consideration to improve data security in healthcare simulations. This security selection is powered by machine learning-based classification algorithms, where the primary goal is to maintain security while preserving energy resources. In summary, the amalgamation of the RSA security algorithm with the Firefly (FFLY) and Grey Wolf Optimization (GWO) algorithms yielded substantial enhancements in several critical Quality of Service (QoS) attributes. The proposed improved healthcare system obtains significant results in terms of QoS parameters and security selection using machine learning classification methods, surpassing the basic findings. Significantly, reliability experienced notable improvements of 17.32% and 22.69%, convergence achieved optimizations of 9.64% and 16.02%, and interoperability demonstrated improvements of 6.61% and 8.71%. Notably, when it comes to energy consumption, a vital consideration for resource-limited sensor configurations, FFLY and GWO with RSA showcased optimizations of 11.03% and 13.16%. The choice of a security algorithm is determined through machine learning techniques, where the Support Vector Machine (SVM) algorithm outperformed alternative methods. In the evaluation of classification techniques, SVM and Random Forest (RF) exhibited accuracy and F-Measure values of 0.999 and 0.993, respectively. These results underscore SVM’s effectiveness in managing medical data.
An analysis of educational outcomes and user satisfaction in webex following COVID-19: An expectation-confirmation model
Authors: Abuhassna Hassan , Nawajha Samer Al , Awae Fareed , Mohamed Adnan Mohamad Azrien Bin , Aripin Syaima’a Binti , Ebrahimi Mansoureh , Ajmain ima’ain Muhammad Talhah , Edwards Bosede I.
Published: May 2024

This study examines how Webex, a web conferencing programme, affects online learning outcomes and user happiness. This research uses the Expectation-Confirmation Model (ECM) to assess how Webex impacts students’ happiness and educational outcomes, as measured by their initial expectations. Five main questions lead the study: initial expectations, how well Webex satisfies them, user satisfaction, the association between expectation confirmation and satisfaction, and how satisfaction affects perceived educational results and Webex usage. High initial expectations may lower pleasure, while positive confirmation of expectations may increase it. Satisfaction is also expected to improve educational perceptions and Webex usage. University Technology Malaysia students and lecturers get a quantitative survey. Initial expectations, perceived performance, contentment, and educational achievements are the survey’s goals. Positive confirmation of initial expectations increases enjoyment, according to the findings. This satisfaction affects educational attainment and Webex use. The study emphasises the need of controlling user expectations and aligning Webex features with them to increase educational outcomes and user satisfaction. This book offers educators, educational institutions, and e-learning technology developers’ valuable information that encourages an integrated approach to e-learning tool deployment that considers technical and human factors. Demographic characteristics and the long-term consequences of satisfaction on academic achievement should be studied further.
Enhanced chicken swarm optimization for channel estimation and low complexity hybrid beamforming over massive MIMO
Authors: Kasiselvanathan M. , Nagarani S. , Ramya P. , Rajagopal Manikandan
Published: May 2024

Massive Multiple-Input Multiple-Output (MIMO) systems with several antennas at the base station (BS) achieve overspatial degrees of freedom. It significantly increases energy and spectrum efficiencies, making it crucial technology for future wireless communications. Even with these alluring benefits, using a lot of antennas results in significant power and hardware costs. Additionally, the efficacy of hybrid beamforming is lacking in the current system, which has an impact on both system and energy efficiency. Enhanced Chicken Swarm Optimisation (ECSO) and energy-efficient Hybrid Analog-Digital (HAD) beamforming using Analog-To-Digital Converter (ADC) are used in this study to address the aforementioned issues. This research work includes main steps are system model, channel estimation and energy efficient ADC on MIMO systems. Initially, the system model is constructed using antennas, Radio Frequency (RF) chains and antenna users. Then, channel estimation accuracy is ensured by using ECSO algorithm. It generates best fitness values in terms of best channel and sum rate using local and global optimal values. K users concurrent in antennas are acquired to guarantee that channel coefficient estimates between antennas and, low complexity heuristic based on channel estimations can be carried out. Lastly, beamforming is accomplished by HAD both digitally and analogously where pilot sequence optimizations, HAD, and ADC quantization bits distributions reduce Mean Square Error (MSE) by working in paraleel for estimating channels. The ECSO-HAD outperformed other approaches in terms of spectrum efficiencies, greater sum rates, lower energy consumptions, and better Normalised Mean Square Error (NMSE) rates in simulation results.
MSDE: Multi-scale disparity estimation model from stereo images
Authors: Alghoul Ahmed , Al Koutayni Mhd Rashed , Battrawy Ramy , Stricker Didier , Ashour Wesam
Published: May 2024

Most modern stereo matching algorithms predict an accurate disparity map but demand high memory and processing requirements as well as a huge number of floating-point operations. Consequently, their applicability is constrained to high-powered devices with substantial capacities, posing challenges for implementations on low-power devices. To address this problem, we propose MSDE, an efficient end-to-end neural network model designed to strike a balance between estimation accuracy and resource utilization. MSDE is based on hierarchical disparity estimation along with the computation of low-dimensional residual and error cost volumes. To reduce the operations, 3D convolutional layers are factorized into 2D and 1D convolutional layers to improve the efficiency of filtering and the aggregation cost volume features. As a result, the entire model of our MSDE has 48 K parameters, requires 2.5 G floating-point operations (FLOPs), and runs with comparatively small memory footprint of 730 M with an execution time of 29.5 ms for each frame on the RTX 2080Ti GPU. Compared to state-of-the-art methods, our model is more efficient, offers a trade-off between accuracy and efficiency, and it needs low hardware resources.
Gastric-type Endocervical Adenocarcinoma Associated with Peutz-Jeghers Syndrome: A Case Report with Imaging Findings
Authors: Xiao Qingwen , Jiang Kuiming
Published: May 2024

Gastric-type endocervical adenocarcinoma (GAS) is the most common disease of cervical cancer that is not caused by HPV but is not taken seriously. We describe a woman diagnosed with GAS and Peutz-Jeghers syndrome (PJS) in this report. A 44-year-old woman experienced sporadic vaginal bleeding for one month. In addition, ten years ago, the patient was diagnosed with PJS. In place of the usual cervical structures, computed tomography and magnetic resonance imaging revealed an irregular cystic-solid mass, mostly composed by cystic tissue. Due to the development characteristics of gastric-type endocervical adenocarcinoma, preoperative imaging is of tremendous assistance in diagnosing patients. There is no previous case of predominantly cystic GAS with such a complete history and characteristic imaging findings. This discovery may aid future diagnoses of similar cases.
Zakat dan Indeks Pembangunan Manusia dalam Pengentasan Kemiskinan Jawa Tengah Tahun 2019-2021
Authors: Pangestu Dimas Bayu , Ratno Fernaldi Anggadha
Published: May 2024

Tujuan dari penelitian ini adalah untuk menganalisis pengaruh zakat (X1), Indeks Pembangunan Manusia (X2), upah (X3), dan jumlah penduduk (X4) terhadap kemiskinan (Y) di provinsi Jawa Tengah pada tahun 2019-2021. Penelitian yang dilakukan kali ini menggunakan penelitian kuantitatif karena pendekatan yang dilakukan melalui proses uji hipotesis, analisis data dan menciptakan suatu kesimpulan. Data yang digunakan berupa data sekunder dengan berdasarkan rentan waktu dan wilayah yang disebut dengan data panel. Data diperoleh melalui dari laman akses BPS dan BAZNAS Jawa Tengah dan diolah menggunakan E-Views 9, dengan uji yang dilakukan menggunakan uji hipotesis dan uji asumsi klasik. Berdasarkan uji hipotesis yang didapat, masing-masing variable secara parsial berpengaruh terhadap kemiskinan, dengan hasil variable X1 berpengaruh negatif tidak signifikan. Variabel X2 berpengaruh negatif signifikan terhadap kemiskinan. Variabel X3 berpengaruh positif signifikan. Variabel X4 berpengaruh positif dan signifikan.
HR-АНАЛІТИКА ЯК КЛЮЧОВИЙ ІНСТРУМЕНТ СИСТЕМИ УПРАВЛІННЯ ПЕРСОНАЛОМ СУЧАСНОЇ ОРГАНІЗАЦІЇ
Authors: Грідін Олександр
Published: May 2024

Стаття присвячена дослідженню проблеми доцільності застосування HR-аналітики в організації. Акцентовано увагу на тому, що персонал є не лише найголовнішим ресурсом організації, але також і вирішальним чинником її успіху у глобальному бізнес-середовищі. Встановлено, що HR-аналітика допомагає організаціям бути більш конкурентоздатними, ефективніше управляти персоналом, знижувати витрати, одночасно підвищуючи загальний рівень задоволеності співробітників. Відзначено, що з метою здійснення комплексної оцінки працівників, організаціями можуть використовуватися найрізноманітніші інструменти, підбір яких має якнайкраще відповідати потребам та специфіці організації, неодмінно враховуючи її характерні особливості та цілі. Аргументовано доведено, що підвищення ефективності та результативності HR-аналітики в організації потребує здійснення низки важливих кроків та вжиття необхідних заходів, які мають здійснюватися лише комплексно і у безпосередньому взаємозв’язку, адже лише у цьому випадку організація спроможна досягти ефективного використання результатів HR-аналітики для прийняття виважених стратегічних рішень та загального покращення HR-процесів.
РІЗНОВИДИ ТА ТИПОЛОГІЯ ІНСТРУМЕНТАРІЮ УПРАВЛІННЯ РИЗИКАМИ ЗОВНІШНЬОЕКОНОМІЧНОЇ ДІЯЛЬНОСТІ ПІДПРИЄМСТВ В УМОВАХ ПОВОЄННОЇ ЕКОНОМІКИ
Authors: Тодощук Андрій , Вей Юрій , Ганайлюк Юрій
Published: May 2024

У статті виокремлено й охарактеризовано різновиди інструментарію управління ризиками зовнішньоекономічної діяльності підприємств в умовах повоєнної економіки за низкою істотних і незалежних ознак. До переліку таких ознак віднесено форму, призначення, час застосування, спосіб формалізації, часову спрямованість та спосіб обґрунтування. Наголошено на важливості вже на ранніх стадіях виявляти ризики зовнішньоекономічної діяльності та мінімізувати вплив потенційних проблем, зумовлених цими ризиками. При цьому важливо, щоб такі дії мали комплексний та системний характер, опираючись на науково обґрунтованих положеннях. Розвинута класифікація інструментарію управління ризиками зовнішньоекономічної діяльності підприємств в умовах повоєнної економіки дає змогу суб’єктам господарювання обирати найбільш доцільні такі інструменти залежно від наявних ресурсних обмежень та конкретних потреб. Крім того, створюються передумови для підвищення ефективності управління такими ризиками.
РОЗВИТОК ОРГАНІЧНОГО САДІВНИЦТВА: РЕАЛІЇ ТА ПЕРСПЕКТИВИ
Authors: Феняк Лариса
Published: May 2024

У статті досліджено розвиток органічного садівництва в контексті сучасних реалій та перспектив. Розглядаються основні аспекти органічного садівництва, його переваги порівняно з традиційними методами вирощування, та його вплив на навколишнє середовище й здоров'я споживачів. Аналізуються сучасні тенденції та технології, спрямовані на підвищення продуктивності та якості вирощування органічних садових культур. Висвітлено існуючі проблеми та виклики, які стоять перед сектором органічного садівництва, а також пропонуються можливі шляхи їх вирішення. Охарактеризовано перспективи розвитку органічного садівництва з урахуванням тенденцій споживацької попиту, економічних та екологічних факторів. Акцентується увага на зростаючій популярності органічних продуктів харчування, яка стимулює розширення органічних методів вирощування фруктів та ягід. Наголошено, що проблемами органічного садівництва є висока собівартість продукції, низька врожайність, недостатній розвиток інфраструктури, відсутність кваліфікованих кадрів та слабка поінформованість населення. Переваги органічного сільського господарства полягають у тому, що воно гарантує засоби до існування сільському населенню та має високий потенціал для відродження малих фермерських господарств.
Спектральний аналіз емалі зубів
Authors: Клітинська Оксана Василівна , Бунь Орест Вікторович
Published: May 2024

Мета дослідження. Оцінити доцільність та можливості застосування спектрометрії для визначення мінерального складу емалі зубів. Матеріали та методи. Матеріалами дослідження стали наукові розробки вітчизняних та закордонних дослідників. В ході дослідження використано бібліосемантичний метод та структурно-логічний аналіз. Методичною основою дослідження став системний підхід. Результати. Ефективна профілактика карієсу зубів відноситься до пріоритетних завдань профілактичної медицини, та являється високоефективним заходом при адекватному застосуванні. З'ясування чинників виникнення та прогресування каріозних уражень в певних географічних та екологічних зонах проживання є першочерговою задачею для вибору дієвих методів попередження уражень. Одним із неінвазивних методів є спектральний аналіз складу твердих тканин. Визначення мінерального складу емалі дозволить встановити керовані чинники ризику виникнення та прогресування карієсу. Цікавим, сучасним та неінвазивним методом визначення мінерального складу емалі є спектрометрія. Оцінка мінерального складу емалі зубі за допомогою спектрометрії є цікавим та сучасним видом дослідження, що дозволить з високою долею ймовірності встановити мікро- та макроелементний склад емалі та визначити оптимальні шляхи проведення нормалізації її складу. Окрім того, при проведенні відновлювальних маніпуляцій з твердими тканинами зубів визначення мінерального складу зубів та дослідження співвідношення між мінеральним складом твердих тканин та адгезивними властивостями відновлюваних пломбувальних матеріалів з високою долею ефективності дозволить підвищити якість лікування карієсу. Висновок. Результати спектрального дослідження твердих тканин зубів допоможуть підібрати пломбувальний матеріал з урахуванням його адгезивних властивостей, що покращить віддалені результати лікування карієсу та якість здійснених реставраційних робіт.