bluuebunny/crossref_metadata_2025 huggingface dataset:
Utilizing Inertial Measurement Units for Detecting Dynamic Stability Variations in a Multi-Condition Gait Experiment
Authors: Akiyama Yasuhirio , Kazumura Kyogo , Okamoto Shogo , Yamada Yoji
Published: November 2024

This study proposes a wearable gait assessment method using inertial measurement units (IMUs) to evaluate gait ability in daily environments. By focusing on the estimation of the margin of stability (MoS), a key kinematic stability parameter, a method using a convolutional neural network, was developed to estimate the MoS from IMU acceleration time-series data. The relationship between MoS and other stability indices, such as the Lyapunov exponent and the multi-site time-series (MSTS) index, using data from five IMU sensors placed on various body parts was also examined. To simulate diverse gait conditions, treadmill speed was varied, and a knee–ankle–foot orthosis was used to restrict left knee extension, inducing gait asymmetry. The model achieved over 90% accuracy in classifying MoS in both forward and lateral directions using three-axis acceleration data from the IMUs. However, the correlation between MoS and the Lyapunov exponent or MSTS index was weak, suggesting that these indices may capture different aspects of gait stability.
High Consistency Ramp Design Method for Low Noise Column Level Readout Chain
Authors: Guo Zhongjie , Li Lin , Xu Ruiming , Liu Suiyang , Yu Ningmei , Yang Yuan , Wu Longsheng
Published: November 2024

In order to address the inconsistency problem caused by parasitic backend wiring among multiple ramp generators and among multiple columns in large-array CMOS image sensors (CIS), this paper proposes a high-precision compensation technology combining average voltage technology, adaptive negative feedback dynamic adjustment technology, and digital correlation double sampling technology to complete the design of an adaptive ramp signals inconsistency calibration scheme. The method proposed in this article has been successfully applied to a CIS with a pixel array of 8192(H) × 8192(V), based on the 55 nm 1P4M CMOS process, with a pixel size of 10×10μm2. The chip area is 88(H) × 89(V) mm2, and the frame rate is 10 fps. The column-level analog-to-digital converter is a 12-bit single-slope analog-to-digital converter (SS ADC). The experimental results show that the ramp generation circuit proposed in this paper can reduce the inconsistency among the ramp signals to 0.4% LSB, decreases the column fixed pattern noise (CFPN) caused by inconsistent ramps of each column to 0.000037% (0.15 e−), and increases the overall chip area and power consumption by only 0.6% and 0.5%, respectively. This method provides an effective solution to the influence of non-ideal factors on the consistency of ramp signals in large area array CIS.
Wearable Technology Applications and Methods to Assess Clinical Outcomes in Foot and Ankle Disorders: Achievements and Perspectives
Authors: Brognara Lorenzo , Mazzotti Antonio , Zielli Simone Ottavio , Arceri Alberto , Artioli Elena , Traina Francesco , Faldini Cesare
Published: November 2024

Foot and ankle disorders are a very common diseases, represent a risk factor for falls in older people, and are associated with difficulty performing activities of daily living. With an increasing demand for cost-effective and high-quality clinical services, wearable technology can be strategic in extending our reach to patients with foot and ankle disorders. In recent years, wearable sensors have been increasingly utilized to assess the clinical outcomes of surgery, rehabilitation, and orthotic treatments. This article highlights recent achievements and developments in wearable sensor-based foot and ankle clinical assessment. An increasing number of studies have established the feasibility and effectiveness of wearable technology tools for foot and ankle disorders. Different methods and outcomes for feasibility studies have been introduced, such as satisfaction and efficacy in rehabilitation, surgical, and orthotic treatments. Currently, the widespread application of wearable sensors in clinical fields is hindered by a lack of robust evidence; in fact, only a few tests and analysis protocols are validated with cut-off values reported in the literature. However, nowadays, these tools are useful in quantifying clinical results before and after clinical treatments, providing useful data, also collected in real-life conditions, on the results of therapies.
Integration of Augmented Reality in Temporal Bone and Skull Base Surgeries
Authors: Ito Taku , Fujikawa Taro , Takeda Takamori , Mizoguchi Yoshimaru , Okubo Kouta , Onogi Shinya , Nakajima Yoshikazu , Tsutsumi Takeshi
Published: November 2024

Augmented reality technologies provide transformative solutions in various surgical fields. Our research focuses on the use of an advanced augmented reality system that projects 3D holographic images directly into surgical footage, potentially improving the surgeon’s orientation to the surgical field and lowering the cognitive load. We created a novel system that combines exoscopic surgical footage from the “ORBEYE” and displays both the surgical field and 3D holograms on a single screen. This setup enables surgeons to use the system without using head-mounted displays, instead viewing the integrated images on a 3D monitor. Thirteen surgeons and surgical assistants completed tasks with 2D and 3D graphical surgical guides. The NASA Task Load Index was used to assess mental, physical, and temporal demands. The use of 3D graphical surgical guides significantly improved performance metrics in cochlear implant surgeries by lowering mental, physical, temporal, and frustration levels. However, for Bonebridge implantation, the 2D graphical surgical guide performed better overall (p = 0.045). Participants found the augmented reality system’s video latency to be imperceptible, measuring 0.13 ± 0.01 s. This advanced augmented reality system significantly improves the efficiency and precision of cochlear implant surgeries by lowering cognitive load and improving spatial orientation.
Land of Maramureș (Romania) Identity Valences: Perceptions, Promotion and Potential for Valorisation
Authors: Boțan Cristian-Nicolae , Gligor Viorel , Fonogea Silviu-Florin , Pavel Ion-Horațiu , Horvath Csaba
Published: November 2024

The territorial personality of a region is defined by its diverse elements and complex interrelations, evolving over time. This scientific endeavour, particularly prevalent in regional geography, aims to understand and leverage these identity elements for regional branding and development. Such studies focus on areas known as “lands”, among which the Land of Maramureș in Romania is notable for its historical depth and cross-border nature with Ukraine. Characterized by its unique culture and the intricate relationships between its people and the land, Maramureș showcases significant multiculturalism. This paper investigates the key elements that constitute the regional identity of Maramureș, ranking them by their perceived importance among local residents. By identifying and understanding these elements, the research seeks to enhance their recognition and utility as drivers of regional development. The findings aim to serve both academic readers and local government authorities, guiding investments in identity-aligned initiatives to foster regional growth and improve community well-being. This approach underscores the critical role of territorial identity in shaping regional strategies and enhancing the quality of life for inhabitants.
Photoformation of Environmentally Persistent Free Radicals During Phototransformation of Poly-Cyclic Aromatic Hydrocarbons (PAHs) on Particles in an Aqueous Solution: The Hydrogenation of PAHs and Effect of Co-Existing Water Matrix Factors
Authors: Li Xintong , Qu Baocheng , Wang Jingyao , Zhao Hongxia
Published: November 2024

Environmentally persistent free radicals (EPFRs) generated on particles under irradiation in water have attracted particular attention, and their formation mechanisms are not well understood. This study investigated the photoformation of EPFRs on both actual samples collected from an oil production plant in Panjin, Liaoning, China, and simulated Fe(III)-montmorillonite samples in water. The EPFRs detected on actual samples were not easily generated compared with those in the soil or in the air, based on the concentrations of identified PAHs. EPR signals in the range of 1017 to 1018 spin/g were detected on the simulated Fe(III)-montmorillonite samples. Their g factors were smaller than 2.0030, which indicated the generation of carbon-centered EPFRs. The primary byproducts were identified by chromatography–mass spectrometry (GC-MS), and a possible EPFR formation pathway during PAH degradation was proposed. Hydrogenation of PAHs during the photoformation of EPFRs was observed and might be due to the catalysis of the simulated particles and the interaction of the intermediates. Meanwhile, the effects of the typical anions (NO2− and Cl−) and the surfactant (TWEEN® 80 and sodium dodecyl sulfate) were investigated and indicated that the phototransformation process and adsorption process would affect the formation of EPFRs. Overall, our study provided useful information to understand the photoformation of EPFRs in aqueous environments.
Composition and Morphological Characteristics of Extracellular Polymeric Substances of Different Tolerant Bacteria Under Perfluorobutanesulfonic Acid (PFBS) Stress
Authors: Tang Rui , Sun Lina , Yu Guo , Xu Jiayao , Luo Qing , Wang Xiaoxu , Rong Luge
Published: November 2024

This investigation studies the properties and composition of extracellular polymeric substances (EPS) of the four tolerant bacterial strains [NH (Cellulosimicrobium cellulans), TH, YH, and HE (Pseudomonas aeruginosa)] under perfluorobutanesulfonic acid (PFBS) stress. The strains were acquired from athickened sludge in a fluorine chemical park. Each strain’s EPS were isolated by heating and centrifugation, and their growth, metabolic activity, and EPS alteration research pre- and post-stress were assessed and compared. The strain type was identified by morphological observation and 16S rDNA gene sequence analysis. Under PFBS (100 μg·L−1) stress, the four tolerant strains NH, TH, YH, and HE showed 38.10%, 29.26%, 35.92%, and 30.48% removal of PFBS on day 4, respectively, and the strain’s EPS had a substantial impact on main component protein (PR) and polysaccharide (PS) contents. The NH microorganism’s ability to metabolize organic matter was markedly stronger; it had a higher quantity, and its impact on main EPS content was greater than the other three tolerant strains. The three-dimensional excitation–emission matrix results showed marked alterations in tryptophan and aromatic protein peaks in the tolerant strain’s EPS. Furthermore, the FTIR analysis showed that the intensity of the functional groups in the proteins (-OH, C=O, -NH, and -CN) and the polysaccharides (-OH, C-O-C, and C-O) changed significantly. This investigation indicated that the proteins and polysaccharides of the tolerant strain’s EPS could provide more binding sites for PFBS adsorption, where the NH strain had the best biosorption capacity. This research provides a theoretical basis for elucidating efficient biosorbents.
An Investigation into the Viability of Portable Proximal Sensor X-Ray Fluorescence Data for Assessing Heavy Metal Contamination in Urban Soils: A Case Study in Changchun, China
Authors: Zou Xiaoxiao , Lu Jilong , Zhao Xinyun , Wei Qiaoqiao , Gou Zhiyi , Hou Yaru , Lai Yawen
Published: November 2024

In order to validate the applicability of pXRF for rapid in situ detection of heavy metals in urban soils and to accurately obtain an assessment of soil quality in Changchun, a city in northeast China, 164 soil samples from within the main urban area of Changchun were collected for pXRF analysis. The main stable elements Si and Ti were used to establish a matrix effect correction model, and the values of Cr (64.2 mg⋅kg−1), Cu (43.8 mg⋅kg−1), Zn (96.2 mg⋅kg−1), As (20.9 mg⋅kg−1), and Pb (57.4 mg⋅kg−1) were predicted. The empirical findings indicate that the quality of soil data from the pXRF was improved to different degrees under the correction model, and it became a relatively reliable dataset; the order of improvement was Cu > Pb > Cr > Zn > As. A comprehensive assessment indicated that Changchun City is primarily contaminated by the heavy metals As, Pb, and Cu, with the main sources being automobile manufacturing and pharmaceutical chemical production. These findings align with previous studies and have produced favorable outcomes in practical applications. This rapid, non-destructive and economical detection method is very applicable and economical for the sustainable monitoring and control of heavy metals in large cities. This study provides a basis for rapid large-scale prediction of urban soil safety and protection of local human health.
An Emerging Way for Bacteria to Engage with Host Cells via Protein ADP-riboxanation
Authors: Xian Wei , Tang Zhiheng , Zhang Qinxin , Wang Ying , Liu Xiaoyun
Published: November 2024

Post-translational modifications (PTMs) are increasingly recognized as important strategies used by bacterial pathogens to modulate host cellular functions. Protein ADP-riboxanation, a derivative of ADP-ribosylation, has recently emerged as a new biochemical way by which bacterial pathogens interact with host cells. Recent studies have revealed that this modification has broad regulatory roles in host processes including cell death, protein translation, and stress granule formation. Given that the vast majority of bacterial ADP-riboxanases are still uncharacterized, in this review we also highlight the utility of advanced proteomic tools in the functional dissection of ADP-riboxanation events during bacterial infections.
Aflatoxin M1 Contamination in Dairy Milk in Kathmandu, Nepal
Authors: Kafle Sujan , Paudel Madhav , Shrestha Chanda , Kathayat Khadak Bahadur , Sapkota Ram Chandra , Tiwari Ananda , Subedi Deepak
Published: November 2024

Aflatoxins (AFs), secondary metabolites produced by fungi, pose significant health risks, especially to children and elderly individuals. In developing countries such as Nepal, the tropical climate promotes fungal growth, leading to elevated levels of AF in animal feed and milk. In this study, we aimed to investigate the occurrence of aflatoxin M1 (AFM1) in dairy milk from the Kathmandu District and to assess husbandry practices contributing to contamination. We collected 84 milk samples, including raw milk from farms, retailers’ milk, and packet milk, and analyzed them using the competitive enzyme-linked immunosorbent assay (c-ELISA) technique. We also interviewed farmers to gather information on feeding and storage practices. All the collected milk samples were contaminated with AFM1, with 97.6% of the samples exceeding the European Union (EU) maximum permissible limit of 50 ppt (0.05 μg/kg). The majority (98.5%) of the farms included paddy straw, and all farms (100%) included concentrate in their feed regimens. Only half (52%) of the farms had proper storage facilities. Straw was mostly stored in sacks outdoors or left open in a shed, while concentrates were stored in a closed room or shed. This study reveals very high levels of AFM1 contamination in the milk samples, presenting a serious public health issue, and recommends comprehensive surveillance and further investigations across the country, especially given the limited research and literature available.
Prevalence of Trypanosoma cruzi Infection in Pregnant Women and Risk of Vertical Transmission in Newborns in Chiapas, Mexico
Authors: López Cancino Sury , Eligio García Leticia , Crisóstomo Vázquez María , Soria Guerrero Mariana , Jiménez Cardoso Enedina , Meneses Mayo Marcos , Islas Andrade Sergio
Published: November 2024

The Mexican state of Chiapas is considered epidemiologically significant for Chagas disease due to the coexistence of infected reservoirs and vectors, including migratory populations from Central and South America. However, there is a lack of monitoring programs for the timely detection of this disease. The objective of this study was to elucidate the prevalence of Trypanosoma cruzi infection in pregnant women and the risk of vertical transmission in newborns at two hospitals located in the Metropolitan Region of Tuxtla Gutierrez, the capital of Chiapas State Mexico. A cross-sectional study was carried out with 193 pregnant women with gestational ages between 32 and 40 weeks, who underwent immunological testing to diagnose Chagas disease. Conventional PCR testing on cord blood revealed the presence of T. cruzi in newborns. The prevalence of T. cruzi infection in pregnant women was 32.12% (95% confidence interval (CI): 0.25, 0.38). The 62 pregnant women who tested positive for Chagas disease gave birth to 63 children, and in 5 newborns (8% (5/62), 95% confidence interval (CI): 0.02, 0.19), PCR tests on umbilical cord blood were positive for T. cruzi. In conclusion, the dataset showed a high prevalence of Chagas disease in the sample of pregnant women studied and a maternal–fetal transmission rate of 8%.
Impaired SARS-CoV-2-Specific CD8+ T Cells After Infection or Vaccination but Robust Hybrid T Cell Immunity in Patients with Multiple Myeloma
Authors: Shoumariyeh Khalid , Csernalabics Benedikt , Salimi Alizei Elahe , Reinscheid Matthias , Giese Sebastian , Ciminski Kevin , Kochs Georg , Schwemmle Martin , Lang-Meli Julia , Maas Michelle , Roehlen Natascha , Karl Vivien , Graeser Anne , Sogukpinar Oezlem , von Metzler Ivana , Grathwohl Denise , Rasche Leo , Hebart Holger , Kull Miriam , Emmerich Florian , Waller Cornelius Florian , Duyster Justus , Engelhardt Monika , Hartmann Tanja Nicole , Bengsch Bertram , Boettler Tobias , Neumann-Haefelin Christoph , Hofmann Maike , Thimme Robert , Luxenburger Hendrik
Published: November 2024

Background: Multiple myeloma (MM) patients are at high risk of severe infections including COVID-19 due to an immune dysregulation affecting both innate and adaptive immune responses. However, our understanding of the immune responses to infection and vaccination in MM patients is limited. To gain more detailed insights into infection- and vaccine-elicited T cell immunity in MM, we studied the CD8+ T cell response on the single-epitope level in SARS-CoV-2 convalescent and mRNA-vaccinated MM patients. Methods: We compared peptide/MHC class I tetramer-enriched SARS-CoV-2-specific CD8+ T cells and antibody responses in MM patients (convalescent: n = 16, fully vaccinated: n = 5, vaccinated convalescent: n = 5) and healthy controls (HCs) (convalescent: n = 58, fully vaccinated: n = 7) either after infection with SARS-CoV-2 alone, complete mRNA vaccination or SARS-CoV-2 infection and single-shot mRNA vaccination (hybrid immunity). Results: MM patients have lower frequencies and a lower proportion of fully functional virus-specific CD8+ T cells compared to HCs, after both SARS-CoV-2 infection and vaccination. CD8+ T cell memory subset distribution in MM patients is skewed towards reduced frequencies of central memory (TCM) T cells and higher frequencies of effector memory 1 (TEM1) T cells. In contrast, the humoral immune response was comparable in both cohorts after viral clearance. Notably, CD8+ T cell frequencies as well as the humoral immune response were improved by a single dose of mRNA vaccine in convalescent MM patients. Conclusions: MM patients have relative immunological deficiencies in SARS-CoV-2 immunity but benefit from hybrid immunity. These findings underline the relevance of vaccinations in this vulnerable patient group.
Neutralizing VHH Antibodies Targeting the Spike Protein of PEDV
Authors: Zhang Li , Miao Wei , Zhou Mo , Lin Miao , Fu Changyao , Wu Zhi , Lei Xinnuo , Xu Jialong , Cao Shinuo , Zhu Shanyuan
Published: November 2024

Porcine epidemic diarrhea virus (PEDV) is a highly contagious coronavirus that infect pigs’ intestinal epithelial cells, causing high morbidity and mortality. Due to the rapid mutation of PEDV, vaccine efficacy is uncertain, prompting exploration of alternative treatments. Nanobodies, also known as variable heavy chain domains of heavy chain-only antibodies (VHHs), offer significant potential in biomedical applications due to their small size and high specificity. In this study, yeast two-hybrid technology was employed to screen for eight specific VHH sequences targeting the PEDV S protein from a synthetically constructed nanobody yeast library. The VHH genes were then cloned into expression plasmids for recombinant protein production, and the resulting VHHs (termed PEDV S-VHHs) were purified. Indirect immunofluorescence assay (IFA) and Western blotting analysis confirmed that these VHHs specifically bind to both PEDV and its S protein. Neutralization assays demonstrated that seven PEDV S-VHHs exhibited potent neutralizing activity against PEDV. Additionally, a combination of these seven antibodies showed enhanced antiviral effects. Preliminary predictions were also made regarding the binding sites between these VHHs and PEDV. The PEDV S-VHHs described in this study hold potential as candidates for the prevention and treatment of PEDV infection.
Treatment with Leflunomide in Conjunction with Glucocorticoids for Dogs with Immune-Mediated Polyarthritis Is Not Associated with Improved Outcomes: A Retrospective Cohort Study of 93 Dogs from Australia (2017–2024)
Authors: Wilson Remon , Swift Inar , Groth-Semple Mikaela , Lee Sabrina , Dann Tamara , Arafa Ahmed , Poyton Curtis , Thompson Mary
Published: November 2024

Immune-mediated polyarthritis (IMPA) has a relatively high relapse rate compared to other immune-mediated diseases. Leflunomide is frequently used to treat dogs with IMPA in conjunction with prednisolone. This retrospective cohort study aimed to evaluate the therapeutic efficacy of leflunomide as an adjunctive therapy to prednisolone in reducing relapse and mortality rates in dogs diagnosed with IMPA in Australia. The medical records of client-owned dogs diagnosed with IMPA at a specialist referral hospital in Southeast Queensland from 2017 to 2024 were reviewed. A total of 93 dogs were included in this study, divided into two groups based on the treatment received: Group PRED, consisting of 53 dogs treated with prednisolone as the sole immunosuppressive agent, and Group L+PRED, consisting of 40 dogs that received leflunomide as adjunctive therapy alongside prednisolone. Data collected included breed, age, weight, sex, serum C-reactive protein concentration, results of synovial fluid analysis and microbial culture, treatment protocol, relapse rates and time to relapse, and mortality rates. There was no difference in relapse or mortality rates, time to relapse, nor time to discontinue prednisolone between the PRED and L+PRED groups. The L+PRED group had higher body weights and lower prednisolone dose rate at discharge compared to those in the PRED group. This study demonstrated that the use of leflunomide as an adjunctive therapy to prednisolone for the treatment of dogs with IMPA had no improved outcomes, reduced relapse rates, or shortening in the duration of prednisolone therapy when compared to dogs receiving prednisolone monotherapy.
Translating primary care to telehealth: analysis of in-person paediatric consultations and role of carers
Authors: Chan Simon , Khandaker Tasneem , Li Yifu , Jackson Tim M , Rahimi-Ardabili Hania , Lau Annie YS
Published: November 2024

Background

The usage of telehealth in general practice has risen substantially since the COVID-19 pandemic. Over this time frame, telehealth has provided care for all patient demographics, including the paediatric population (aged ≤18 years). However, the translatability of telehealth (that is, whether in-person tasks can be supported remotely via telehealth) rarely considers the paediatric population or their carers.

Aim

To examine the degree of translatability to telehealth for in-person GP consultations on paediatric patients with consideration of the carers’ roles.

Design & setting

This study screened 281 videos of in-person GP consultations set within UK general practices, and 20 of them were eligible for analysis.

Method

A secondary analysis of in-person GP consultations was undertaken to examine tasks, physical artefacts, examinations, and the interaction between carer, patient, and GP. A novel scoring method revolving around two key metrics, taking into consideration the carer, was designed to analyse whether the tasks performed can be supported via telehealth.

Results

Analysis of 20 eligible consultations revealed 13 distinct physical examinations, 19 physical artefacts, and 17 clinical tasks. Of these 17 clinical tasks, 41% were deemed ‘easily translatable to telehealth,’ 29% 'moderately translatable with patient-provided equipment', 12% 'potentially translatable', and 18% 'currently untranslatable'. The average telehealth translatability score was 6.1/10, which suggests possible challenges with telehealth support. Regarding carer involvement, 90% of consultations involved collecting patient history, 70% placation of child, and 40% had physical support during examinations.

Conclusion

Tasks performed during paediatric in-person GP consultations may not be easily translatable to telehealth and caution should be exercised when considering their translatability to telehealth.
Analisis Kepuasan Pengguna Aplikasi Alodokter Menggunakan Metode TAM Dan End User Computing Satisfaction
Authors: Haryati Haryati , Assegaff Setiawan , Devitra Joni
Published: November 2024

Alodokter merupakan fasilitas konsultasi kesehatan berupa website dan aplikasi berbentuk digital. Aplikasi Alodokter memberikan berbagai fitur berupa Chat, Buat Janji, Artikel, Langganan, dan Aloshop. Terdapat beberapa kekurangan dalam penggunaan aplikasi Alodokter seperti pengguna menerima informasi mengenai kuota chat gratis yang habis meskipun belum pernah menggunakan fitur chat sebelumnya, belum lengkapnya informasi profil dokter pada fitur Buat Janji terkait pengalaman praktik dan riwayat pendidikan, keterbatasan metode pembayaran e-wallet, serta lamanya proses pengembalian dana apabila pesanan dibatalkan oleh apotek. Sehingga penelitian ini bermaksud untuk memahami kepuasan pengguna aplikasi Alodokter menggunakan metode TAM dan End User Computing Satisfaction dengan menggunakan 9 variabel yaitu content, accuracy, format, ease of use, timeliness, perceived usefulness, perceived ease of use, attitude toward using, dan user satisfaction. Hasil kuesioner dianalisis menggunakan metode Structural Equation Model serta aplikasi SmartPLS 3. Hasil observasi mengungkapkan dari 9 hipotesis terdapat 5 hipotesis disetujui antara lain H2, H5, H7, H8, H9 dan 4 hipotesis ditolak yaitu H1, H3, H4, H6. Oleh sebab itu, dirangkumkan bahwa aplikasi Alodokter cukup baik dalam mencapai tingkat kepuasan pengguna.
Rekomendasi Pembelian Sepeda Motor Bekas Dengan Menggunakan Metode Additive Ratio Assessment (ARAS)
Authors: Dalimunthe Aldiansah , Citra Hendra
Published: November 2024

Sepeda Motor bekas merupakan salah satu kendaraan yang banyak diminati oleh masyarakat, terutama masyarakat dengan ekonomi menengah ke bawah.  Penelitian ini bertujuan untuk mengembangkan sebuah sistem pendukung keputusan yang dapat membantu dalam merekomendasikan sepeda motor bekas terbaik secara lebih akurat dengan menggunakan metode Additive Ratio Assessment (ARAS). Metode ARAS dipilih karena kemampuannya dalam mengevaluasi dan merangking alternatif berdasarkan sejumlah kriteria yang mempengaruhi nilai dari setiap alternatif. Dalam penelitian ini, beberapa kriteria dianalisis dan diberi bobot sesuai dengan tingkat kepentingannya. Hasil analisis menunjukkan bahwa rekomendasi pembelian motor bekas dengan peringkat tertinggi ditujukan pada motor bekas Kawasaki Ninja 250 dengan nilai normalisasi matriks total (D4) untuk setiap kriteria sebesar 0.83729 dan nilai bobot matriks ternormalisasi (Si) sebesar 0.1270 dengan nilai akhir sekaligus tingkat perankingan tertinggi dari alternatif (Ki) sebesar 0.1354. Berdasarkan hasil perhitungan pada penelitian yang dilakukan oleh peneliti, maka dapat disimpulkan bahwa metode Additive Ratio Assessment (ARAS) dapat digunakan untuk menyelesaikan permasalahan pada penelitian ini yaitu rekomendasi penentuan sepeda motor bekas terbaik.
محددات التدفق التجاري الدولي لدول مجلس التعاون الخليجي وشركائها التجاريين: دراسة تطبيقية باستخدام نموذج الجاذبية
Authors: الجراح محمد عبدالله
Published: November 2024

هدفت هذه الدراسة إلى تحديد أهم العوامل التي تؤثر على التدفق التجاري الدولي لدول مجلس التعاون الخليجي وعدد من شركائها التجاريين، كما هدفت أيضاً إلى تقديم دليل على مدى إسهام الاتفاقيات التجارية التفضيلية بين دول المجلس في زيادة التجارة البينية بينها. والوصول إلى هذه الأهداف استخدمت الدراسة نموذج الجاذبية للفترة (1992-2004)، حيث اعتمدت الدراسة على 3978 مشاهدة، وتوصلت إلى عدد من النتائج منها: أهمية الدخل المحلي وحجم السكان لكلا الشريكين التجاريين: المصدِّر والمستورد، في شرح التدفق التجاري. كما وجدت الدراسة أن المسافة الجغرافية والاشتراك في الحدود واللغة تقوم بدور في تشجيع التبادل التجاري ودعمه، بالإضافة إلى ذلك، لم تجد الدراسة دعماً قوياًّ لدور الاتفاقيات التجارية التفضيلية في زيادة التبادل التجاري بين دول المجلس.
مدى إدراك مدققي الحسابات في الأردن للالتزامات الأخلاقية المهنية المعيارية
Authors: جمعة أحمد حلمي
Published: November 2024

استهدفت الدراسة قياس مدى إدراك الالتزامات الأخلاقية المهنية المعيارية، لعينة من مدققي الحسابات في الأردن، وأظهرت النتائج أن مدققي الحسابات الأردنيين يدركون الالتزامات الأخلاقية المهنية المعيارية، وأن أعلى مدى إدراك لمتغير النزاهة والموضوعية، الكفاءة المهنية، السرية، والأنشطة التي لا تتوافق مع ممارسة المحاسبة العامة، والدعاية والإعلان والترويج، وحل التعارضات الأخلاقية، والعلاقات مع المحاسبين المهنيين الآخرين في المحاسبة العامة، والأنشطة عبر الحدود، وأموال العميل، والكفاءات المهنية والمسؤوليات عند استخدام غير المحاسبين، وأخيراً متغير الممارسة الضريبية.
نموذج برمجة أهداف تتابعي ذو مرحلتين لمشكلة تخصيص أعضاء هيئة التدريس للمواد الدراسية وأوقات التدريس
Authors: حسن محمد كمال , الحسين رائد قربان , القاهري حميد أحمد
Published: November 2024

يعد تطوير نموذج يستطيع أن ينتج عنه جدولة تتصف بالكفاءة والفعالية لأعضاء هيئة التدريس للمواد الدراسية وأوقات التدريس، واحداً من أهم التحديات التي تواجه معظم الجامعات في جميع أنحاء العالم. وقد تم تصميم وبناء عدة أنظمة في هذا المجال للحصول على الجدول المثالي لذلك، ولكن معظم هذه الأنظمة كانت تعاني من بعض جوانب القصور والعجز.في هذا البحث تم استخدام طريقة البرمجة الهدفية الثنائية (صفر -۱) بحيث تم تخصيص أعضاء هيئة التدريس للمواد الدراسية في المرحلة الأولى، ثم تخصيص كل عضو هيئة تدريس مع المادة المخصصة له للفترات الزمنية المخصصة لكل يوم دراسي في المرحلة الثانية.خلال هاتين المرحلتين يعمل النموذج على تعظيم أفضلية أعضاء هيئة التدريس للمواد الدراسية في المرحلة الأولى، ثم تعظيم أفضلية أعضاء هيئة التدريس للأوقات الزمنية لتدريس كل مادة تم تخصيصها له في المرحلة الأولى.تقوم الطريقة المستخدمة في هذا البحث بتحقيق عدة أهداف حسب أولويات محددة، بحيث يتم تحقيق كل هدف حسب أهميته بالنسبة إلى القواعد والقوانين المطلوبة والخاصة بالجامعة والكلية والقسم والتخصص، وتم القيام بسيناريوهات مختلفة لاختبار صحة النموذج.ولقد أثبتت المرحلة الأولى من النموذج قدرة على تحقيق معظم الأهداف كاملة، وتحقيق إجمالي أفضلية اعضاء هيئة التدريس إلى المواد التي يرغبون في تدريسها بنسبة ٨٥,٢% وفي المرحلة الثانية استطاع النموذج أن يحقق أفضلية أعضاء هيئة التدريس إلى الأوقات الزمنية لتدريس المواد المخصصة لهم بنسبة إجمالية تصل إلى ۸۸,۸%.
Penerapan Metode Simple Additive Weighting (SAW) Dalam Pemilihan Supplier Terbaik Pada Industri Manufaktur
Authors: Muttaqin Zaenul , Handayani Dini , Triyono Gandung
Published: November 2024

Memilih supplier didalam rantai pasok industri manufaktur merupakan hal yang sangat penting untuk keberhasilan operasional dan daya saing perusahaan, karena mempengaruhi biaya, efisiensi, kualitas produk, kepuasan pelanggan, dan reputasi perusahaan. Dalam konteks globalisasi dan kompleksitas rantai pasok yang meningkat, berbagai kriteria seperti kualitas produk, ketepatan waktu pengiriman, dan kepatuhan terhadap standar internasional seperti International Organization for Standardization (ISO) 22000:2018 dan ISO 9001:2015 harus dipertimbangkan untuk memastikan pemenuhan kebutuhan jangka pendek serta keberlanjutan operasional jangka panjang. Penelitian ini bertujuan mengatasi masalah pemilihan supplier terbaik dengan menerapkan metode Simple Additive Weighting (SAW), yang efisien dalam mengevaluasi kriteria relevan. Langkah awal melibatkan identifikasi kriteria penilaian yang relevan seperti kualitas, waktu pengiriman, dan kepatuhan standar ISO, kemudian memberikan bobot pada setiap kriteria berdasarkan tingkat kepentingannya. Data kinerja supplier dikumpulkan secara sistematis dan diproses melalui metode Simple Additive Weighting (SAW) untuk menghasilkan peringkat relatif dari setiap supplier. Hasil penelitian menunjukkan supplier V7 memperoleh peringkat tertinggi dengan nilai 50,8, memberikan kontribusi berharga dalam pemahaman dan pemilihan supplier terbaik dalam konteks keandalan, kualitas, dan kepatuhan standar industri, serta menunjukkan bahwa penggunaan metode Simple Additive Weighting (SAW) meningkatkan efisiensi perhitungan dan pengelolaan data.
Comparison of Deep Neural Networks and Random Forest Algorithms for Multiclass Stunting Prediction in Toddlers
Authors: Lestari Wulan Sri , Saragih Yuni Marlina , Caroline
Published: November 2024

Stunting in toddlers is a serious global health issue, with long-term impacts on physical growth and cognitive development. To address this problem more effectively, it is crucial not only to identify whether a child is stunted but also to predict the severity of the condition. Multiclass stunting prediction offers deeper insights into a child’s condition, enabling more precise and targeted interventions. This study aims to compare the performance of multiclass stunting prediction models using two machine learning algorithms: Deep Neural Networks and Random Forest. The research process involved data collection, preprocessing, as well as model development and testing. The results show that the Random Forest model achieved 100% accuracy in training and 99.92% accuracy in testing, while the Deep Neural Networks model achieved 93.49% accuracy in training and 93.21% in testing. Both models demonstrated strong performance in multiclass stunting prediction, with Random Forest proving superior in terms of accuracy compared to Deep Neural Networks.
The Role of UTAUT2 in Understanding Technology Adoption: A Study of the Merdeka Mengajar Platform Among Indonesian Teachers
Authors: Aminah Siti , Aditya Addin , Kanthi Yekti Asmoro
Published: November 2024

This research investigates the adoption of the Merdeka Mengajar application using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The study aims to identify the factors influencing teachers' behavioral intentions and usage behavior regarding this educational technology platform. A total of 383 teachers from various levels in Malang were sampled from a broader population of 8,936. Statistical analysis uses SEM (Structural Equation Modelling) analysis techniques. The findings suggest that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value significantly influence behavioral intention. However, facilitating conditions and habit do not show a direct significant impact on use behavior. These results indicate that while technological support such as infrastructure and internet access is necessary, it alone may not be enough to motivate consistent usage without internal factors like perceived usefulness or enjoyment of the app. Moreover, the habitual use of new technology may require additional support and time before it can significantly affect behavior. This study contributes valuable insights into the adoption of educational technologies, especially in the Indonesian context, where digital learning platforms are increasingly being integrated into teaching practices. Future research may explore how ongoing support and user experience improvements can further enhance the app's adoption.
The Analysis and Improvement of User Interface Design on Climate Information Service Mobile Application Using the Lean UX Method
Authors: Fauzi Muhammad , Wirdiani Ni Kadek Ayu , Rusjayanthi Ni Kadek Dwi
Published: November 2024

Info BMKG is an iOS and Android app providing weather, temperature, air quality, and earthquake data across Indonesia. Issues related to the usability of the BMKG Info application were identified through observations and feedback found on the Google Play Store, which has a rating of 4.4. The responses identified included an unattractive appearance, limited features, increasing complexity, and a need for more innovation, necessitating usability evaluation and UI design improvements to enhance user experience. The analysis and redesign follow the Lean UX approach and Heuristic Evaluation method. Usability testing, specifically the Post-Study System Usability Questionnaire, is used to assess user satisfaction. The study finds that implementing Lean UX significantly improves the system's quality and user experience. UI design enhancements, based on usability testing, improve navigation, information clarity, and ease of use. Recommendations result in better outcomes, with Heuristic Evaluation yielding scores of H1 = 1 (System status visibility), H2 = 1 (Match between the system and the real world), H4 = 1 (Consistency and standards), H5 = 1 (Error prevention), H7 = 1 (Flexibility and efficiency of use), H8 = 1 (Aesthetic and minimalist design), and H9 = 1 (Help users recognize, diagnose, and recover from errors). The Post-Study System Usability Questionnaire method shows an improvement from high to a better category.
Descending Stairs Detection Using Digital Image Processing to Guide Visually Impaired
Authors: Wali Satria Bahari Johan Ahmad , Fenaldo Maulana Rizky
Published: November 2024

Blindness refers to a condition in which an individual experiences limitations in their visual ability. Individuals with visual impairments require specific assistance to facilitate their movement from one location to another. The need for this assistance arises due to various obstacles scattered throughout their environment. One of the most significant challenges is navigating descending stairs. To address this issue, a descending stairs detection system based on digital image processing has been developed. Through this approach, the mobility of individuals with visual impairments can be enhanced. The descending stairs detection system is designed using the Gray Level Co-occurrence Matrix (GLCM) method to extract distinctive features of descending stairs and the surrounding floor surfaces. Seven GLCM features are incorporated into the development of this system, allowing it to differentiate between descending stairs and floors using the Extra Tree Classifier classification method. Through a series of tests, the system's accuracy is measured at 84%, demonstrating its adequate ability to identify descending stairs. Additionally, the average computation time for detecting descending stairs and floors is recorded at 0.121 (s), indicating the efficient performance of this system in supporting the mobility of individuals in need.
Analisis Sentimen Ulasan Game Stumble Guys Pada Playstore Menggunakan Algoritma Naïve Bayes
Authors: Nurdy Awang Herjunie , Rahim Abdul , Arbansyah
Published: November 2024

Perkembangan teknologi yang pesat mempermudah akses ke berbagai hiburan digital, termasuk game online seperti Stumble Guys, yang telah diunduh lebih dari 163 juta kali dan mendapatkan ulasan beragam di Google Play Store. Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna Stumble Guys menggunakan algoritma Naïve Bayes. Metode penelitian melibatkan tahapan Knowledge Discovery in Databases (KDD), meliputi pemilihan data, preprocessing, transformasi dengan CountVectorizer dan TF-IDF, serta pengklasifikasian dengan Naïve Bayes. Dengan menggunakan 1.500 ulasan dari Google Play Store, model Naïve Bayes mencapai akurasi 86%, dengan precision, recall, dan f1 score masing-masing sebesar 86%. Hasil penelitian menunjukkan bahwa Naïve Bayes efektif dalam mengklasifikasikan sentimen ulasan game Stumble Guys.
Compact Analysis of the Necessity of Padé Approximation for Delayed Continuous-time Models in LQR, H-Infinity and Root Locus Control Strategies
Authors: Yanarateş Cağfer , Altan Aytaç
Published: November 2024

This paper presents a comprehensive analysis of the need for the Padé approximation for continuous-time models with delays, focusing on its critical role in addressing the control challenges posed by time delays. Time delays, often referred to as dead times, transport delays or time lags, are inherent in a wide range of industrial and engineering processes. These delays introduce phase shifts that degrade control performance by reducing control bandwidth and threatening the stability of closed-loop systems. Accurate modelling and compensation of these delays is essential to maintain system stability and ensure effective control. This paper highlights the difficulties that arise when using advanced control techniques such as root locus (RL), linear quadratic regulator (LQR) and H-infinity (H_∞) control in systems with delays. Representing delays in exponential form leads to an infinite number of state problems, complicating the design and analysis of controllers in such systems. To address these challenges, the Padé approximation is proposed as an effective method for approximating time delays with rational polynomials of appropriate order. This approach allows for more accurate simulation, system analysis and controller design, thereby mitigating the problems caused by delays. The paper also provides a detailed comparative analysis between the Padé approximation and Taylor polynomials, demonstrating the superiority of the former in achieving accurate delay modelling and control performance. The results show that the use of Padé approximation not only improves the accuracy of system models, but also improves the robustness and stability of control strategies such as RL, LQR, and H_∞. These results highlight the importance of the Padé approximation as a valuable tool in the design of delay-affected control systems, offering significant advantages for both theoretical and practical applications.
СРАВНЕНИЕ КОЛИЧЕСТВЕННЫХ ДАННЫХ ДВУХ НЕЗАВИСИМЫХ ВЫБОРОК С ИСПОЛЬЗОВАНИЕМ ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ STATISTICA И SPSS: ПАРАМЕТРИЧЕСКИЕ И НЕПАРАМЕТРИЧЕСКИЕ КРИТЕРИИ
Authors: А.М. Гржибовский , С.В. Иванов , М.А. Горбатова
Published: November 2024

В настоящей работе представлены общие сведения об использовании параметрического непарного критерия Стьюдента и непараметрического критерия Манна-Уитни для сравнения количественных признаков в независимых выборках. Описан алгоритм расчета критериев с использованием программного обеспечения Statistica 10 и SPSS 20, а также представлена интерпретация результатов расчетов. Настоящая статья призвана дать общие сведения об использовании критериев Стьюдента и Манна-Уитни, и не заменяет прочтения специализированной литературы по статистике и клинической эпидемиологии.

This is the second paper of the series of articles where we present basic principles of statistical data analysis using Statistica and SPSS software for beginners. Step-be-step algorithms for Student’s unpaired t-test and Mann-Whitney test for independent samples are presented. The main aim of this paper is to provide basic knowledge on ho to compare continuous variables in two independent samples with practical examples using commonly used software. The article complements, but does not substitute specialized literature on biostatistics and clinical epidemiology.

Осы жұмыста тәуелсіз іріктемелердің сандық белгілерін салыстыру үшін Стьюдент параметрлік қосарлы емес критерилерін және Манна-Уитни параметрлік емес критерилерін қолдану туралы жалпы мәліметтер берілген. Statistica 10 және SPSS 20 бағдарламалық қамтамасыз етуді пайдаланумен критерилер мәліметтері есебінің алгоритмі суреттелген және есептер нәтижелерінің интерпретациясы берілген. Осы мақала Стьюдент және Манна-Уитни критерилерін қолдану туралы жалпы мәліметтер беруге талап етілген және статистика және клиникалық эпидемиология бойынша мамандандырылған әдебиетті оқудың орнын баспайды.
ПРИМЕНЕНИЕ РЕГРЕССИИ КОКСА В ЗДРАВООХРАНЕНИИ С ИСПОЛЬЗОВАНИЕМ ПАКЕТА СТАТИСТИЧЕСКИХ ПРОГРАММ SPSS
Authors: Е.Е. Шарашова , К.К. Холматова , М.А. Горбатова , А.М. Гржибовский
Published: November 2024

статье представлены теоретические основы проведения одного из наиболее популярных многомерных методов анализа дожития – регрессии Кокса. Данный метод анализа в большинстве случаев используется для определения независимого влияния потенциальных факторов риска на скорость наступления изучаемого события за изучаемый промежуток времени. На практическом примере описаны принципы проведения анализа пропорциональных рисков Кокса и основные принципы интерпретации полученной с помощью пакета прикладных статистических программ SPSSинформации.

In this paper presents theoretical bases of the Cox regression as one of the most popular multidimensional methods of survival analysis. This method of analysis in most cases is used to determine the independent influence of potential risk factors on the rate of occurrence of the event under study during the time period studied. The practical example describes the principles of Cox proportional hazard analysis and the basic principles of interpreting the information received with the SPSS application statistical software package.

Мақалада өмір сүру Кокс регрессиясын - талдаудың ең белгілі көпшамалы әдістерінің бірін өткізудің теориялық негіздері берілген. Көптеген жағдайларда талдаудың осы әдісі зерделенетін уақыт арасындағы зерттелетін жағдайдың орнауы жылдамдығына қауіптің әлеуетті факторларының тәуелсіз әсерін анықтау үшін қолданылады. Тәжірибелік үлгіде Кокс пропорционалдық қауіптеріне талдау өткізу принциптері және ақпараттыңSPSS қолданбалы статистикалық бағдарламалары пакеті көмегімен алынған интерпретациялар негізгі принциптері.
Modification of epoxy resins as a method to prepare composites with specified mechanical properties (review)
Authors: Yarullin R. R.
Published: November 2024

The current state of Materials Science in the field of obtaining functional polymer composite materials with a wide range of mechanical and physical properties is analyzed. The modification of polymers by introducing inert and reactive additives into the epoxy matrix are considered. The use of industrial and agricultural waste as modifiers is discussed as one of the directions of import replacement and developing the principles of “green” chemistry. Special attention is paid to the prospects of using modifying components obtained by thermochemical processing of vegetable wastes.
Solution of the inverse problem of forming molecular mass distribution of polymers using heuristic methods
Authors: Miftakhov E. N.
Published: November 2024

A technique has been developed for solving the inverse problem of forming a molecular weight distribution and assessing the kinetic heterogeneity of catalysts using heuristic optimization methods. Since the number of active polymerization centers, which determines the number of required parameters of the system, is unknown, a genetic algorithm was chosen to ensure a guaranteed solution to the problem. The main steps of implementing an algorithm are presented, which allows, based on the single assumption that the distribution on each type of active centers is described by one of the model distributions, to solve automatically the problem of selecting the number of active centers and the proportions of each type. The developed method was tested in the study of the kinetic heterogeneity of a catalytic system based on gadolinium chloride solvate in the production of 1,4-cis-polyisoprene.
Modification of polyurethane latexes of the Aquapol® brand with polymer-polymer complexes for the production of fibrous-porous polymer composite materials
Authors: Kovalenko G. M. , Bokova E. S. , Lototskiy N. R. , Kozhevnikova O. V.
Published: November 2024

The paper presents the results of modification of aqueous dispersions of polyetherurethanes of the Aquapol® brand with polymerpolymer complexes based on polyacrylic acid and polyvinyl alcohol to obtain fibrous-porous composite materials such as artificial and synthetic leather.