bluuebunny/crossref_metadata_2025 huggingface dataset:
Preliminary design water ambulance untuk pemindahan pasien covid 19 di wilayah kepulauan Indonesia (studi kasus di kepulauan Madura)
Authors: Irmiyana Triyanti , Siswanti Heni , Musta'in Muhammad
Published: April 2024

Berdasarkan data dari dinkes-Sumenep, jumlah kasus konfirmasi positif covid di Pulau Talango yang terbanyak memiliki kasus konfirmasi positif corona sejumlah 9 jiwa dan 1 jiwa meninggal. Salah satu penyebabnya adalah tidak ada fasilitas penanganan corona di pulau tersebut, hingga harus dirujuk ke RSUD. Kabupaten Sumenep melalui kapal.

Dalam penelitian ini, perancangan speed boat ambulance khusus pasien covid-19 dengan tipe lambung katamaran. Tujuan desain speed boat ambulance untuk menangani pasien kepualaun khususnya kasus covid-19 selama perjalanan laut menuju RSUD. Sumenep dengan fasilitas yang memadai.

Metode penelitian dilakukan  dengan penentuan ukuran utama kapal menggunakan metode sister ships, kemudian dilanjutkan dengan menggambar lines plan, perhitungan tahanan kapal beserta penentuan daya mesin, dan general arrangement. Pembahasan dan hasil yang diperoleh berupa ukuran utama kapal berupa Tipe kapal Catamaran; LOA    : 13.0 m; B : 7.0 m; H         : 2.0 m; T : 1.2 m; Vs : 16 knot. Memiliki 3 ruang akomodasi, antara lain ruang pasien untuk 2 orang; Ruang tenaga medis dan pengantar dengan 1 dokter, 2 tenaga medis dan 2 orang keluarga pasien; Ruang kemudi dengan 2 orang ABK. Zonasi ruang dibagi menjadi 2 zona, yaitu zona covid-19 untuk pasien COVID-19; serta zona non covid-19 meliputi ruang tenaga medis dan ruang kemudi.
Analisa Teknis Pengaruh Pemindahan Ruang Penumpang Dari Depan ke Bagian Belakang Terhadap Stabilitas Kapal Crew Boat Aluminium
Authors: JAILANI ABDUL KADIR JAILANI
Published: April 2024

Pengoperasian kapal crewboat yang berada pada daerah pengeboran minyak dituntut untuk bebas dari kecelakaan. Oleh sebab itu maka kemudahan pengoperasian kapal adalah hal yang utama. Posisi ruang penumpang dan ruang kontrol dibelakang pada kapal PSV dengan seri VS 493 dan crewboat produksi Chantiers Allais  dinilai dapat menambah kenyamanan ruang penumpang  serta dengan ruang kontrol yang hanya satu posisi manuver dapat memudahkan pengoperasian kapal.  Kapal crewboat KCT 1902 adalah kapal sudah beroperasi pada area pengeboran minyak dengan ruang penumpang didepan dan dek kargo dibelakang. Untuk bisa mengikuti tender lagi, kapal ini harus mempunyai ruang penumpang dibelakang dan dek kargo didepan. Tujuan skripsi ini adalah menganalisa pemindahan ruang penumpang dari sisi teknis dan dari sisi ekonomis.   Dari hasil analisa secara teknis terjadi penambahan berat sebesar  0.56 Ton dan pergeseran  titik berat yang cukup signifikan. Hasil ini menyebabkan perubahan stabilitas kapal, namun perubahan stabilitas masih memenuhi kriteria stabilitas menurut  peraturan. Dari hasil  analisa ekonomis ditemukan bahwa  modal yang dibutuhkan  Rp 26,669,803,218.01, biaya operasional per tahun Rp 3,624,750,000.00 dan pendapatan per tahun Rp 11,343,105,000.00 diperoleh Break Event Point pada tahun ke-7.
ANALISIS POTENSI DAN PANGSA PASAR GALANGAN- GALANGAN KAPAL DI KABUPATEN GRESIK
Authors: Setiawan Budi
Published: April 2024

Peran galangan kapal Sebelum Pandemi sangat penting di dalam menunjang perekonomian khususnya di sektor transportasi laut, baik untuk pengadaan armada kapal Sebelum Pandemi maupun sebagai sarana perawatan. Kemampuan galangan Sebelum Pandemi baru mampu melayani 50% pekerjaan reparasi dan 30% pekerjaan pembuatan kapal baru dari potensi pekerjaan yang ada. penelitian ini menggambarkan pangsa pasar (market share) dari 5 galangan kapal di Kabupaten Gresik dengan cara membandingkan jumlah potensi pasar galangan Pada Masa Pandemi dan Sebelum Pandemi dengan hasil pekerjaan permintaan reparasi dan bangunan baru galangan-galangan kapal di Kabupaten Gresik. Metode yang kami gunakan dalam penelitian ini adalah  metode forecasting terhadap pangsa pasar galangan kapal di Kab. Gresik. Hasil penelitian menunjukkan, pangsa pasar galangan-galangan kapal di Kabupaten Gresik untuk Sebelum Pandemi untuk reparasi galangan kapal a. Pangsa  pasar  galangan-galangan  di  Kabupaten   Gresik  untuk Sebelum Pandemi adalah sebesar 0.31% dari potensi pasar galangan nasional b.Pangsa  pasar  galangan-galangan  di  Kabupaten  Gresik  untuk        Pada Masa Pandemi adalah sebesar 0.0071% dari potensi pasar galangan nasional. Dan untuk bangunan baru galangan kapal sebagai berikut a.Pangsa  pasar  galangan-galangan  di  Kabupaten   Gresik  untuk                Sebelum Pandemi adalah sebesar 6.92% dari potensi pasar galangan nasional. b.Pangsa  pasar  galangan-galangan  di  Kabupaten  Gresik  untuk     Pada Masa Pandemi adalah sebesar 0.0527% dari potensi pasar galangan nasional.

Kata Kunci

Galangan, Kabupaten Gresik, potensi pasar, pangsa pasar
RANCANG BANGUN MESIN CNC UKIR KAYU DENGAN 3 SUMBU MENGGUNAKAN MIKROKONTROLLER
Authors: Fashiha Ilman Abdillah
Published: April 2024

Abstrak — Perkembangan teknologi pada era saat ini sangatlah berkembang pesat, salah satu kegunaannya ialah dapat membantu proses industri dalam skala kecil maupun besar. Salah satu teknologi yang berkembang pesat adalah mesin CNC ukir Kayu. Adapun permasalahan yang sering timbul dalam proses industri mebel yaitu keterbatasan jumlah pekerja dengan pemesanan yang banyak. Oleh sebab itu pada penelitian ini merancang suatu mesin CNC ukir Kayu dengan 3 sumbu menggunakan mikrokontroller sebagai salah satu jalan keluar untuk mengatasi permasalahan yang terjadi tersebut. Ketiga sumbu x,y, z pada peralatan tersebut akan bergerak secara beraturan sesuai code yang telah dibuat sebelumnya, dengan menggunakan motor stepper yang terkontrol oleh mikrokontroller. sedangkan untuk proses pengukiran menggunakan motor Wood Trimmer M-2700. Peralatan ini masih dalam bentuk prototype yang memiliki dimensi 80 cm x 60 cm dan bidang kerja maksimal 30 cm x 30 cm. Peralatan ini memanfaatkan code untuk memrintah mesin untuk melakukan pengukiran secara otomatis. Code tersebut diperoleh dari gambar yang telah di desain kemudian dikonversikan ke G-code melalui software Aspire 9.0. Pada mesin ini mampu melakukan pengukiran dengan ukuran terkecil yaitu 2 mm. Proses pengukiran dapat dilakukan dengan kecepatan 0.62 cm/s dan pengukuran memiliki tingkat error dibawah 5%. Penelitian ini dapat dikembangkan agar bisa membantu serta mendorong proses industri mebel masyarakat luas.

Kata Kunci: CNC, G-Code, Mikrokontroller,  Motor Stepper, Wood Trimmer M-2700
Analisa Kerusakan Pipa Bawah Laut Akibat dari Kejatuhan Jangkar
Authors: Aldara Desta Rifky , DewI Retno Syahriawati , Mulananda Arisessy Maharani
Published: April 2024

Pipa bawah laut memiliki beberapa risiko yang dapat menyebabkan kerusakan pada lingkungan sekitar jika terjadi kerusakan. Beberapa faktor dapat menyebabkan kegagalan pipa bawah laut, seperti: kesalahan pihak ketiga, korosi, kesalahan desain, dan kesalahan operasional. Tinjauan literatur dan historis tentang kegagalan dan insiden pipa bawah laut menunjukkan bahwa faktor pihak ketiga bertanggung jawab atas 38% dari kegagalan pipa bawah laut. Faktor umum dari kategori kesalahan pihak ketiga yang dapat menyebabkan kegagalan pada pipa antara lain adalah: aktivitas penangkapan ikan, aktivitas kapal niaga (emergency anchoring, dragged anchor, dropped containers, dan ship sinking), dan aktivitas kapal konstruksi. Fokus utama dari penilaian ini adalah analisa kerusakan pada pipa bawah laut yang diakibatkan oleh kejatuhan Jangkar. Perhitungan kerusakan berdasarkan standar DNVGL RP F107 dibandingkan dengan simulasi dengan menggunakan aplikasi FEM. Berdasarkan analisa kerusakan yang dilakukan, pipa bawah laut mengalami kerusakan di lapisan beton pelindung dan mengalami penyokan. Oleh karena itu, proteksi eksternal dengan menggunakan metode dikubur dengan batu kerikil direkomendasikan untuk melindungi pipa bawah laut dari kejatuhan jangkar. Nilai investasi total yang dibutuhkan untuk pemasangan pelindung tersebut adalah Rp. 4.853.181.463.
GLYCOSYLATED HAEMOGLOBIN: A SURROGATE MARKER FOR DYSLIPIDEMIA AND GLYCEMIC INDEX IN TYPE 2 DIABETES MELLITUS SUBJECTS
Authors: ADU M.E. , ESSIET D.F.
Published: April 2024

Glycosylated haemoglobin is the substance formed when glucose chemically combine with haemoglobin molecule. This study examined glycosylated haemoglobin as a possible surrogate marker for dyslipidemia and glycemic index in type 2 diabetes mellitus subjects. A cross- sectional study was carried out in Warri, Delta State with a total of four hundred (400) volunteers recruited comprising of three hundred and twenty (320) diabetes mellitus subjects and eighty (80) apparently healthy subjects. Standard methods were used for anthropometric measurement and biochemical assays. Data were analyzed using statistical package for social sciences (SPSS). Parameters including Blood pressure, body mass index, fasting blood glucose, glycosylated haemoglobin, total cholesterol, triglycerides, LDL-C were significantly higher in diabetic subjects than non- diabetics while HDL-C was significantly lower in diabetics. Glycosylated haemoglobin is positively correlated with blood glucose, cholesterol, triglycerides, and LDL-C but inversely associated with HDL-C. Based on this study, glycosylated haemoglobin has the potential to serve as surrogate marker of dyslipidemia.
Quellcodekritik. Zur Philologie von Algorithmen
Authors: Bajohr Hannes , Krajewski Markus
Published: April 2024

Algorithmen bestimmen unsere Lage. Vom Google-PageRank-Algorithmus bis zur Kreditvergabe greift ihre Logik auf Schritt und Tritt in unser Leben ein. Einige von ihnen arbeiten undurchsichtig und schirmen ihr Innenleben vor neugierigen Blicken ab. Andere bemühen sich um Transparenz und folgen einer Ethik des Open Source. In beiden Fällen ist jedoch ein nicht unerheblicher Aufwand erforderlich, um die Quellcodes zu verstehen, in denen Algorithmen geschrieben sind. Codes sind besondere Texte: Sie setzen Befehle um, wenn sie ausgeführt werden, und reduzieren Expression auf Direktiven. Sie sind somit mehr und weniger als gewöhnliche Sprache. Zugleich führen sie mit der Möglichkeit zur Kommentierung stets eine Metaebene mit, auf der man sich über ihre Funktionsweise verständigen kann. Daher erfordern sie auch eine besondere Philologie. Die Quellcodekritik, die dieser Band vorstellt, ist der Versuch, Algorithmen zu erschließen, zu interpretieren und sie gegenwärtigen wie zukünftigen Leser*innen zugänglich zu machen. Sie mobilisiert einen Zugriff, der in der Informatik ebenso zu Hause ist wie in der Textkritik. Zugleich schlägt sie Strategien vor, auch mit jenen neuen Sprachmodellen umzugehen, in denen Codes nur am Anfang stehen, während ihr statistisches Inneres undurchdringlich bleibt. Die Beiträge liefern so Beispiele und Methoden, wie klassischer Code und künstliche Intelligenz lesbar zu machen sind.
Moisture Sorption Studies using the GAB Model of a Beef Based Dambun Nama (A Ground Meat Product) Stored over a Period of Six Months
Authors: L. Y. Hauwa , O. I. Amin , S. N. Shamsudden
Published: April 2024

Water adsorption isotherms of Dambun Nama, a ground beef product, were determined over a storage period of six months, at an average ambient temperature of 33.8oC and an accelerated temperature of 50oC, using the static gravimetric method. The study was aimed at establishing the moisture sorption profile of a traditional meat product Dambun Nama common in Northern Nigeria, produced from beef and stored over a period of six months. The sample was produced using a standardized method; it was sterilized, packaged in six airtight glass containers and stored at ambient temperature as the sample stock for the analyses over a period of six months. Data was generated from the sorption studies based on the isopiestic transfer method using concentrated sulphuric acid solutions. The isotherms are generally shaped like the type 4 isotherms for food products. Between 33.8oC and 50oC adsorption, the monolayer moisture content ranged from 0.036 to 0.048 gH2O/g solids, and between 0.037 to 0.049 gH2O/g solids for desorption. There was a general increase in the GAB constants K and C. The correlation coefficient (R) values obtained for adsorption ranged from 0.941 to 0.959, and for desorption, the values ranged from 0.940 to 0.957, indicating that the GAB model was suitable in describing the moisture sorption profile of Dambun Nama within the prescribed water activity ranges and storage period.
A Study on Physicochemical, Microbiological and Biochemical Properties of Wetland Soils in Eket, Akwa Ibom State, Nigeria
Authors: U. A. Godwin , N. A. Sule
Published: April 2024

The physicochemical, microbiological and biochemical characteristics of wetland soils in the Eket Local Government Area were studied between March 2019 to February 2021. Soil samples were collected at depths of 0-15cm and 15-30cm and analyzed for physicochemical, Microbiological and Biochemical properties. Laboratory data obtained were subjected to statistical analysis. The results showed that sand particles dominated the particle size distribution, of the entire wetland soils, while silt and clay were very low. Chemical analysis revealed that the mean pH obtained was 6.2 ± 0.2, 6.45 ± 0.07, and 6.60 ± 0.14 for Ntak Inyang, Etebi, and Ekpene Obo wetland soils respectively. Similarly, the highest organic matter was obtained in Ekpene Obo (6.96 ± 0.74%) followed by Ntak Inyang (6.58 ± 2.69%), while Etebi had the least (4.89 ± 1.77%). The highest total nitrogen was obtained in Ekpene Obo (0.17 ± 0.02%), followed by Ntak Inyang (0.16 ± 0.07%) and Etebi having the least with (0.12 ± 0.04%). Ntak Inyang wetland soils had the highest biomass carbon (1.58 ± 00 µg-1) followed by Etebi (1.37 ± 0.44 µg-1), and Ekpene Obo the least (1.01 ± 00 µg-1). The highest biomass of Nitrogen was obtained in soils of Ekpene Obo (0.4 ± 0.01 µg-1) followed by Ntak Inyang (0.02 ± 0.02 µg-1) while soils of Etebi had the least (0.03 ± 0.01 µg-1). The Pearson correlation matrix showed that moisture content had a strong and negative relationship with bulk density (r = -0.69), while base saturation correlates positively with total nitrogen (r=0.681). Urease had a strong, and positive relationship with catalase (r=0.734), whereas bacteria relate negatively with total N (r=-0.801), and B.S (r=-0.781), but positively with catalase (r=-0.698). The negative correlation observed in most of the soil properties is a result of the low decomposition of organic matter in wetland soils, because anaerobic bacteria operate at a much slower energy level than aerobic bacteria, decomposition proceeds much more slowly in anaerobic and oxygen-limited environments such as wetlands.
Transport and Electricity Infrastructures and Economic Growth and Development in Selected Sub-Saharan African Countries
Authors: K. Overo , C. Orubu , C. T. Ezi
Published: April 2024

Economic postulations suggest that the interrelationship between changes in incomes, capital and labour which can be substituted into macroeconomic neoclassical and steady-state growth theories drives economic development. Arising from the above economic axiom, this study investigated the impact of transport and electricity infrastructures on economic development and growth in sub-Saharan Africa. The study used panel data from fifteen (15) sub-Saharan African countries. Panel data were obtained from statistical bulletins of the various countries and World Bank Indicators (WBI) from 2000-2022. Data obtained were analyzed via descriptive, diagnostic and inferential statistics. Specifically, the fixed and random effects regression revealed that while there is a significant relationship between transportation and electricity infrastructures and economic growth, an insignificant relationship was found between transportation and electricity infrastructures and economic development in the selected sub-Saharan African countries. Based on the findings, it was recommended among others that governments in sub-Saharan Africa needs to increase their contributions and support for electricity and transportation infrastructures; this can be done by increasing budgetary allocation for critical infrastructures in countries of sub-Saharan Africa
Evolution of Accreditation Scheme in the Nigerian Technical and Vocational Education and Training Institutions and Strategies for Developing the Scheme
Authors: O. B. Oladipupo , A. Halilu , E. O. Ogugua
Published: April 2024

Quality technical and vocational education and training (TVET) is undoubtedly the fulcrum for national technological growth and development. It empowers individuals to be skillful, creative, employable and become responsible citizens. Accreditation has been regarded as an effective quality assurance instrument to assess quality of education including TVET globally. Accreditation ensures that institutions or programmes offered to the public have met the minimum prescribed standards and complied with the agreed minimum requirements. This paper examines the evolution of accreditation schemes especially among TVET institutions in Nigeria. The new development introduced into accreditation by NBTE over time and strategies that should be deployed to make accreditation a significant contributor to national development are examined in this study.
Innovative Behaviour: Male Vs Female Entrepreneurs in Akwa Ibom State
Authors: D. B. Christabel , O. B. Abasi-ene
Published: April 2024

It is observed that there are more male entrepreneurs engaged in entrepreneurial activities than female entrepreneurs given a number of factors that hinder the female entrepreneurs. However, does this translate to the male entrepreneurs being more innovative than the female entrepreneurs? This study aims to examine the innovative behaviour of male and female entrepreneurs in Akwa Ibom State. Using a survey design and a purposive sampling method, 250 respondents were examined for the study and the data analysed using descriptive statistics revealed the findings that both male and female entrepreneurs have similar levels of innovative behaviour, although the female entrepreneurs exhibited a slightly higher level of innovative behaviour in the areas of product innovation, process innovation, market innovation and raw materials innovation. The result indicated that the male entrepreneurs’ process innovation led to a slightly speedier delivery of their goods compared to the female entrepreneurs and that their goods stand out against competitors compared to the female entrepreneurs. In organisational restructuring, both male and female entrepreneurs have a similar level of innovative behaviour, however, the female entrepreneurs tend to reorder each division of their businesses to ensure employee’s effectiveness more than the male entrepreneurs and profit tend to increase more for the female entrepreneurs who reorder their businesses compared to the male entrepreneurs. Hence, more female citizens in the state need to be encouraged to startup and to stay creative and innovative.
Anterior approaches in acetabular fractures: a true learning curve analysis
Authors: CAUDRON M , GERSET V , TRONC C , TONETTI J , BOUDISSA M
Published: April 2024

Today, acetabular surgeons in training have to learn ilioinguinal and anterior intrapelvic approaches (AIP). The aim of this study was to describe the 5-years learning curve of a surgeon. Objective was to assess clinical and radiological results; and to assess factors which could influence this learning curve. Between November 2015 and May 2020, patients with an acetabular fracture operated by the surgeon during the 5-years learning curve with an anterior approach were included in this single-center retrospective study based on a prospective database. Epidemiological, operative, clinical, radiological and complications data’s were collected. To assess learning-curve effect the series was divided into two groups: first 2.5-years and last 2-years. Subgroup analysis were performed according to the surgical approach, to the reduction quality and the prognostic factors. In total, 46 patients were included, 23 in period 1 and 23 in period 2. 16 patients (35%) had ilioinguinal approach and 30 patients (65%) had modified Stoppa-Cole approach. At mean follow-up of 24 months, 38 patients (83%) were reviewed. Anatomical reduction (< 1 mm) was achieved in 28 patients (60.9%) with a 9% rate of perioperative complications and 37% rate of post-operative complications. In conclusion, this study gives a realistic overview of the learning curve of anterior approaches in acetabular fractures surgery. Our results should encourage surgeons, while keeping in mind how much this surgery can be challenging, with high rate of complications and difficulty to obtain a systematic anatomical reduction.
Revision ratio after Femoral Neck System implantation for hip fracture treatment: a retrospective cohort analysis
Authors: AERDEN L.K. , GEELEN H , DE WACHTER G
Published: April 2024

The aim of the study is to determine the revision ratio after implantation of the femoral neck system (FNS) for the treatment of femoral neck fractures. A retrospective single center cohort analysis with a total of 71 patients who underwent the implantation of the FNS between December 2019 and December 2021, was performed. 31 males and 40 females were included. There was no exclusion based on BMI, ASA score, Garden classification or Pauwels classification. Primary outcome was the revision rate after FNS implantation. Secondary outcomes comprise the reason for revision surgery as well as the time toward revision surgery and the 30-day mortality. The revision ratio was 11 out of 71 patients (15.5%) with an average time to revision surgery of 10 months. Most common reason for revision was avascular necrosis (AVN) in 45.5%. Other reasons for revision surgery were implant failure due to a secondary fall on to the hip with the FNS implant in place, cut-out, cut-through and malunion in respectively 27.3%, 9%, 9% and 9% of the revision patients. The one- hole plate was used in 72% of the patients. Mean follow-up was 18.07 months (range 6-30 months). Full weight bearing instruction was given to 85.9% of the patients. Partial weight bearing in 14.1% of the patients. In conclusion, the FNS has similar revision ratio when used for femoral neck fractures compared to cannulated screw fixation in literature. The predominant reason for revision is AVN and implant failure with no difference between the use of the one- or-two-hole plate in this study.
Evaluation of patient reported outcome measures and costs of managing osteoarthritis of the hip
Authors: DEHANNE F , PIRSON M , LECLERCQ P , LIBERT B , GOURDIN M
Published: April 2024

The number of hospital admissions for a hip prosthesis increased by more than 91% between 2002 and 2019 in Belgium (1), making it one of the most common interventions in hospitals. The objective of this study is to evaluate patient-report- ed outcomes and hospital costs of hip replacement six months after surgery. Both generic (EQ-5D) and specific (HOOS) PROMs of general hospital patients undergoing hip replacement surgery in 2021 were conducted. The results of these PROMs were then combined with financial and health management data. The mean difference (SD) in QALYs between the preoperative and postoperative phases is 0.20 QALYs (0.32 QALYs). The average cost (SD) of all stays is €4,792 (€1,640). Amongst the five dimensions evaluated in the EQ-5D health questionnaire, the ‘pain’ dimension seems to be associated with the greatest improvement in quality of life. As regards Belgium, the 26,066 arthroplasties performed in 2020 might constitute a gain of 123,000 years of life in good health. The relationship between QALYs and costs described in this study posits a ratio of €23,960 per year of life gained in good health. Given that in Belgium more than 3% of the hospital healthcare budget is devoted to hip prostheses, it would seem relevant to us to apply PROM tools to the entire patient population to assess treatment effectiveness more broadly, identify patient needs and, also, monitor the quality of care provided.
Fault Detection in IoT Sensor Networks with XAI-LCS: Explainable AI-driven Diagnosis for Low-Cost Sensor
Authors: Dattatray G. Takale
Published: April 2024

In Internet of Things networks (IoT), accurate monitoring data delivery without interruptions is vital, especially for high-risk use cases, such as in the industrial field. Existing approaches to AI-based fault diagnosis have various disadvantages such as being computationally expensive or lacking transparency and being difficult to trust. To overcome these limitations this research introduces a novel method for IoT devices namely XAI-LCS. This technique uses the eXtreme Gradient Boosting (XGBoost) algorithm for early sensor fault detection. XAI-LCS is oriented towards detecting different types of faults including bias, drift, complete failure, and precision degradation, as well as accounting for data imbalances and avoiding biased detections. The proposed solution achieves a 98 % validation accuracy in diagnosing four sensor fault types. The XAI component which provides explanations for the AI-based model processes, enhances the trust and transparency of the developed solution. As a result, this study contributes to improving sensor application failures in IoT.
Application of Lightweight Freshmen Group Portrait Based on Echarts
Authors: Shen Leiming
Published: April 2024

This study designs a general analysis model for fusion method, big data portrait of young users using map engine data, and tries to solve the problem of fusion of qualitative and quantitative methods in user portrait. This paper determines the necessity of freshmen group portrait in the practice of ideological education by studying the freshmen group portrait and its objectives, connotations and roles; through the various aspects of data collection, cleaning, structuring, data analysis and modeling, the Echarts platform is used to establish a data visualization example, to achieve a three-dimensional, multi-dimensional and interactive visualization output of the freshmen group portrait, and with the help of the combination of qualitative and quantitative methods, the design of the Research model. Based on the theory of sociological psychology, we construct a user value map, use Look-alike algorithm to construct the map data labeling system, use K-Means clustering algorithm to get the data results, and analyze the data results for business. Using the model for big data empirical demonstration, the results show that young users can be divided into 20 categories of groups, and the total number of data results reaches 170 million, and the number of preference labels reaches 606, which is better than the results of survey data. And it is applied in the initial education and teaching practice process, obtaining better results, with replicable and generalizable practical application scenarios.
Economic Supply Chain Management System of Farm Products Industry Based on the Belt and Road Under the Background of Big Data
Authors: Zhang Dong
Published: April 2024

Under the strategic background of "One Belt, One Road", the future farm products industry will also become part of the country's core competitiveness. Promoting the transformation of enterprises in the supply chain is conducive to cultivating the country's core competitiveness and creating good output conditions for my country's manufacturing industry. Under the national strategy of "One Belt, One Road", the agricultural product industry is facing new development opportunities. This paper analyzes the background, significance and existing basic problems of the "One Belt, One Road". Starting from the economic development of the national agricultural product industry, it uses the cluster analysis algorithm to analyze the current overall economic situation of the agricultural product industry, points out the current problems in the industry, and believes that the future farm The product industry is facing greater pressure for transformation and upgrading. Finally, combined with the strategic background of "One Belt One Road", from the perspectives of society, government and enterprises, analyze its supply chain process, extract relevant problems, and put forward relevant countermeasures and suggestions from the perspective of intra-chain, extra-chain and their interactive integration .
Performance Analysis of Application of BIM Technology and Two-Way Progressive Optimization Algorithm in Energy-Saving Design of Residential Buildings Based on BIM Technology
Authors: Gong Shuqi
Published: April 2024

The current residential energy-saving design is lagging behind, and lack of systematic design methods and scientific technical means seriously restricts process of improving quality of residential buildings in China. With development and application of digital information technology in construction field, BIM technology has brought new opportunities construction industry, and building performance data has become information basis for scientific promotion of energy conservation. This paper uses BIM technology as a platform to establish an information base of common building materials and components in Chongqing through literature research, field studies, summarization, and application practice, and to help architects make wise decisions at early design stage by using "one-click" scheme comparison and design evaluation to avoid a large number of potential energy consumption problems at a later stage, It greatly improves energy efficiency and design quality of buildings.
Assessing Audit Risks in Enterprises on the Growth Enterprise Market: A Grounded Theory Approach
Authors: Xiaoming Deng, Yande Wang, Hui Chen, Xiang Zhou Wei Xie,
Published: April 2024

This paper adopts the research method of grounded theory, based on the annual report audit of 66 pharmaceutical manufacturing enterprises on the Growth Enterprise Market, exchange supervision and inquiry letters, the CSRC penalty announcement and online public comment materials, and based on the actual situation, to study the audit risk of pharmaceutical enterprises on the Growth Enterprise Market. . The study found that the misstatement risk of pharmaceutical companies on the GEM is divided into the overall level and the specific level. Among them, the overall misstatement is related to the external environment, operating risks, corporate governance, internal control, and related party transactions, while the specific misstatement risks are reflected in revenue recognition, goodwill impairment, R&D expense recognition, inventory valuation, and the availability of accounts receivable. Recoverability and other five aspects. In the context of big data, construct appropriate risk profiles analytical models are critical to the efficiency and quality of audit oversight. Through the research of this paper, it is helpful to assist intermediaries and regulatory authorities to systematically assess the misstatement risk of pharmaceutical companies on the GEM, and to take targeted risk response measures.
Art Works of Youth Aesthetic Psychology Education Based on the Integration of Environmental Perception and Sensing
Authors: Li Shanshan
Published: April 2024

Youth aesthetic psychology is mainly a branch of psychology that studies the psychological mechanism of people in painting, sculpture, photography, architecture and other art activities, and the psychological activities and laws of people in the creation or appreciation of these art works. Psychologists in the Soviet Union believed that the most basic problem of Youth aesthetic psychology was to study the psychological mechanism of the reaction to beauty when feeling art works. Therefore, we can also regard the appreciation of art works as an aesthetic activity. We can appreciate art works by studying the application and role of Youth aesthetic psychology, so that art appreciators can master aesthetic methods and improve aesthetic standards to a certain extent, and also can deeply resonate with the creator in spirit. This paper carries out the research of Youth aesthetic psychology art works with the perspective of environmental perception and sensor fusion, and combined with experiments to illustrate the effectiveness and superiority of this method.
Enhancing Reliability of Advanced Driver-Assistance Systems through Predictive Maintenance and Data-Driven Insights
Authors: Vishal Goyal, Kamal Sharma Amit Jain,
Published: April 2024

The advancement of Advanced Driver Assistance Systems (ADAS) marks a pivotal evolution in automotive technology, aiming to enhance road safety and driving efficiency through a wide array of functionalities like blind spot detection, emergency braking, and adaptive cruise control. This research paper delves into the operational integrity, performance metrics, and maintenance strategies of ADAS components, underpinned by a comprehensive methodology involving data collection, pre-processing, feature engineering, machine learning model development, and rigorous validation processes. Systematic inspection of ADAS components indicates their importance in vehicle safety and reliability. The visibility, distance, speed, and steering angle of front cameras, LiDAR, radar, and ultrasonic sensors are carefully evaluated. Maintenance logs show proactive error code management, boosting efficiency. SVM, Gradient Boosting, and Random Forest machine learning models predicted ADAS component failures during validation and testing. Random Forest scored 90% accuracy, 92% precision, 88% recall, and 90% F1. Gradient Boosting was the most accurate, with 93% accuracy, 94% precision, 91% recall, and 92% F1. SVM predicted ADAS component failures with 88% accuracy, 90% precision, 85% recall, and 87% F1 score. Machine learning helps shift from reactive to proactive maintenance. Modelling sensor signal quality, actuator reaction times, error code frequencies, and maintenance intervals enables predictive maintenance and failure detection. Feature engineering builds predictive models using maintenance logs and operational KPIs. The models predict ADAS component failures, boosting vehicle safety and dependability. Using external data improves predictive maintenance models. The maintenance model's adaptability and forecast accuracy are proved by ADAS operation after traffic, accident, and manufacturer upgrades. Predictive maintenance and machine learning improve ADAS dependability and safety, the study found. Advanced analytics and data-driven insights can reduce automotive system failures, improving safety and reliability.
Bullet Accuracy of Canik Tp9sf Elite Pistol and Taurus G3 Pistol: A Comparative Analysis
Authors: Liza Joy B. Barican ,  Nicholas S. Caballero Wilfredo O.  De La Cruz Jr.
Published: April 2024

Bullet accuracy evaluation is vital for firearm enthusiasts as it directly affects effectiveness and precision. In addition, bullet accuracy is crucial in determining the suitability of firearms for various applications. However, limited studies have been conducted to assess bullet accuracy, particularly of handguns. Thus, this study used Randomized Complete Block Design (RCBD) to compare the bullet accuracy of Canik TP9SF Elite Pistol and Taurus G3 Pistol, two of the most used handguns. Each handgun was used in four experiment setups, each with varying distances (i.e., 40m and 50m) and types of bullets (i.e., reloaded and full metal). The handgun was fired thrice in each setup, and the results were recorded with the help of two ballistics experts. The collected data were analyzed using mean, standard deviation, and t-test. The study results are as follows: First, Canik TP9SF Elite Pistol had varying levels of accuracy depending on bullet type and distance fired. Second, the Taurus G3 Pistol demonstrated low accuracy regardless of bullet type. Third, Canik TP9SF Elite Pistol was generally superior to Taurus G3 Pistol, especially when using full metal jacketed bullets. Nevertheless, both pistols showed limitations in accuracy, particularly at longer distances.
Digital Farmer’s Profiling System for Decision Support Towards E-Governance
Authors: Vince Lloyd Q. Balisi , Heherson B. Albano , Mario T. Umayam Rosemary L. Buraga
Published: April 2024

The "Digital Farmer's Profiling System for Decision Support in E-Governance Research" is an innovative approach harnessing digital technologies to elevate the realms of agriculture and governance. Its primary objective was to create an integrated digital profiling system for farmers, enabling the collection and analysis of essential farmer data, thereby facilitating informed decision-making for both farmers and departmental agriculture offices. Specifically, the project aimed to develop a profiling system with distinct components, including farmer profiles, land profiles, livestock and poultry information, aquaculture farmer data, service provider details, livelihood insights, and cost and return analysis information. Additionally, the system features an efficient reporting mechanism capable of generating critical information, such as lists of farmers and land forecasting data. The research employed a qualitative methodology, gathering data from sample documents and interviews involving registered farmers and agricultural stakeholders, selected through a stratified sampling approach to ensure diversity in geographical locations and farm types. Ethical considerations, including a rigorous commitment to data privacy and obtaining informed consent, were meticulously observed throughout the research process. The Agile software development model was employed for designing and developing the system. This study has not only successfully met all the requirements of a farmer's profiling system with an exceptional capability by encompassing key components. Furthermore, it features a robust reporting mechanism for generating crucial data, including lists of farmers and land forecasting information
A Review on Non-Invasive Multimodal Approaches to Detect Deception Based on Machine Learning Techniques
Authors: Baraa M. Albaker Fahad Abdulridha
Published: April 2024

Detecting deception has been investigated by the scientific community for over a century due to its importance in the justice system and homeland security. Attempts to come up with an approach, a system or a framework that serves the purpose of discerning lies from truths has therefore been a major field. This has led researchers to automate the detection process and reduce its invasiveness as much as possible. In addition, machine learning techniques are used with multiple channels of information, known as modals, to increase accuracy in what is known as a multimodal approach. As a result, several research and datasets are currently available, and it could be challenging to identify successful patterns, gaps, and future directions. In this paper, over fifty state-of-the-art publications in the field of deception detection using non-invasive approaches based on machine learning techniques are analyzed after reviewing more than one thousand publications from Scopus, IEEE Xplore, Web of Science, ScienceDirect, and Google Scholar. The work presents the classification techniques and datasets used with their detection performance and finally analyzing the data to draw conclusions. The reported detection accuracy ranges from about 50% to 95% for monomodal approaches based on facial expression, body movement, audio, or thermal imaging. In conclusion, the multimodal approach shows promising results as it reaches a detection accuracy approaching 100%. It outperforms any alternative non-invasive approach, especially when dealing with small datasets, which seems to be the biggest challenge in this field. Future research directions should focus on experimenting with multimodal systems by developing larger datasets as well as implementing classification algorithms that can work with multiple modals effectively.
Simplify Standard Operations Procedure Electrical Equipment with QR Codes in Order to Optimize Practical Learning at PT PLN (PERSERO) UPDL Palembang
Authors: Zulhipni Reno Saputra ST. MKom Fajrie Agus Dwino Putra ST. MM
Published: April 2024

PT PLN UPDL Palembang is one of the training units for all PLN employees in the southern Sumatra region. In organizing practicum learning, it is very important to ensure that all equipment used is covered by standard operating procedure (SOP) documents. The unavailability of SOP documents has the potential to result in work accidents for participants and learning instructors. In addition, the unavailability of SOP can result in damage to equipment. The unavailability of SOP documents is due to several things. Among them: its existence is unknown; the SOP is too large to be impractical; and the SOP is lost or damaged. Based on data from the last 10 years at PLN UPDL Palembang, there are 45 pieces of practicum equipment damaged because they did not follow SOP, or equivalent to Rp. 283,405,000. To ensure the SOPs are always available, they are made in digital and online form. The SOP document is then created as a QR code, which is printed in small size. The QR code sticker is affixed to the practice equipment. To use digital SOP, users only need to scan the QR code via smartphone on each device. One piece of equipment has one QR code.
Prediction of Load Demand in Home Area Network Using LSTM
Authors: Nagaraj Badakali ,Nandan KR , P Guruprasad , Anuradha M Prajeesha*,
Published: April 2024

Load forecasting is one of the most important tools for the energy management system in the modern world. Forecasting power consumption and load demand calculation became an interesting topic for the stakeholders in the electricity market. Decision-making in purchasing and generating electric power, load switching, and demand side management are dependent on load forecasting. This research work focuses on the prediction of power consumption in a Home Area Network (HAN) using time series forecasting methods like Long short-term memory (LSTM) neural Networks. Our goal was to design a model that could precisely forecast the electrical load required in a Home Area Network. Utility companies and homeowners can utilize this model to better plan and control their power usage. It can assist in lowering the likelihood of power outages and enhancing the effectiveness of the electrical system. The Root Mean Squared Error (RMSE) is used as the performance measure in our work. The dataset considered is from the UCI repository with 350400 rows and 4 parameters such as active power, and 3 submetering values, to achieve realistic data for training the model used the encoder-decoder LSTM model for load prediction and achieved an RMSE value of 23 and an MAE value of 18.6
Biaxial Hollow Slab Under Seismic Load
Authors: Festy Ratna Aditama
Published: April 2024

In reinforced concrete building structures, the slab is the component with the largest volume of concrete of all the superstructure components. Various innovations were carried out. Currently, the use of Hollow Core Slab (HCS) to reduce the load on building superstructures is widely used in Indonesia. Another type of slab is Biaxial Hollow Slab (BHS) as an alternative to reduce slab concrete volume. BHS is considered capable of reducing concrete consumption by up to 30% -50% of conventional concrete without reducing the performance of the slab itself. It could be reducing the load on the working superstructure can reduce the influence of seismic loads on the foundation. Indonesia is a country with an earthquake zone, so the use of BHS must be considered with seismic design categories that are appropriate to the earthquake zones in Indonesia. This research is focused on giving information about the numerical study of application BHS in 10th story building with design seismic category D. The thickness used in this study is equivalent thickness of BHS to solid slab. The absence of beams in weak axis and the present of perimeter beam by utilization BHS, gives the result BHS has sufficient capacity to carry the workload.
Development of an electronic dictionary of terminology for school textbooks
Authors: Gulmira Bekmanova
Published: April 2024

This research, funded under the BR11765535 “Development of Scientific and Linguistic Foundations and IT Resources to Expand the Functions and Improve the Culture of the Kazakh Language” project, aimed at advancing the scientific and linguistic foundations of the Kazakh language and enhancing its role in interethnic communication through digital resources. Focusing on the urgent need for specialized digital terminological dictionaries for school subjects, the project addresses the limitations of existing resources, particularly for school students. The article discusses the criteria for inclusion in the terminological dictionary, emphasizing the significance, frequency, and thematic relevance of terms across various subjects. The project has undertaken the compilation of a comprehensive database covering key school subjects in the Kazakh language.
A Conceptual Architecture of Fuzzy Risk-Based Decision Support Systems (R+DSS)
Authors: Mohamad Jazli Shafizan Jaafar
Published: April 2024

This paper introduces a conceptual architecture for Fuzzy Risk-Based Decision Support Systems (R+DSS). This architecture is designed to provide a comprehensive and efficient approach to decision-making procedures in various domains involving assessing and controlling potential risks. The proposed architecture exhibits versatility in its applicability across multiple fields, such as finance, healthcare, engineering, and environmental management. It incorporates these components flexibly and scalable while also being user-friendly. The framework employs fuzzy logic principles such as membership functions, rule sets, and inference methods to facilitate a thorough evaluation of the risk that accommodates the inherent uncertainties and imprecisions characteristic of real-world risk scenarios. The Fuzzy Inference Engine is a versatile and resilient risk analysis tool capable of accommodating diverse data and systems, enabling effective risk mitigation strategies. The adaptability of this architecture to effectively handle complex, uncertain and dynamic environments makes it a promising tool for decision-makers looking to improve risk assessment and management protocols.
An experimental study on the impact of Wushu routine learning on executive functions of 7 - 8 years old female children
Authors: Chon Ieng Ho
Published: April 2024

Executive function is one of the essential components of human cognitive function. Studies have found that improving executive function has a better impact on children’s academic achievement, behavioral performance, and mental health. This study employed an experimental design to investigate the effects of different types of motor learning on the development of 7-8-year-old children's executive functions. The intervention was the Wushu routine learning; sample size was 37 female children (experimental group 23, control group14), mean age was 7.38 years. The study applied the psychological experimental research software E-prime 2.0 developed by Psychology Software Tools, Inc. to evaluate the experimental groups' inhibitory function, refreshing function, and conversion function level by completing the Flanker task, 1-back task, and more-odd shifting task. The results showed that the intervention effect of motor learning was mainly manifested in the conversion function, while it had no significant effect on the inhibitory function and refreshing function. Different intervention duration of motor learning did not have significantly different effects on executive function.