bluuebunny/crossref_metadata_2025 huggingface dataset:
MAYBORODA V.S., GLUSHKO V.S. ENERGY EFFICIENCY OF PULSE HIGH-SPEED TOOTH MILLING TAKING INTO ACCOUNT THE ATOMIC APPROACH
Authors: Hasanov Magomedemin Isamagomedovich , Permyakov Alexandr Anatolievich , Zakovorotniy Olexander Yuryevich , Klochko Oleksandr , Ohrimenko Oleksandr , Maiboroda Viktor Stanislavovych , Hlushko Stanislav
Published: December 2024

The mechanism of formation of connected (segmented) chips at high speeds of tooth milling is considered. It is shown that this phenomenon is associated with an increase in the yield point of the metal and a decrease in its plasticity with an increase in the cutting speed and, therefore, the deformation speed. An increase in the rate of deformation with an increase in the cutting speed creates a less energy-intensive fragile mechanism for the destruction of chip elements. This, in turn, leads to a decrease in the degree of deformation of the cut layer, cutting forces and chip shrinkage. The effect of the type of crystal lattice of the processed material on the appearance of the chip is manifested through the stacking fracture energy, which affects the formation of the dislocation structure in the chip formation zone, which determines the initial parameters of the cutting process: resistance to plastic deformation, cutting forces, the degree of deformation and shrinkage of the cut layer. The application of the atomic approach opens up wide possibilities for improving high-speed pulsed tooth milling, in particular, improving the energy efficiency of milling. The dependences between physical parameters during high-speed tooth milling were determined: power, cutting speed, energy of breaking interatomic bonds in metal clusters. Two ways of increasing the energy efficiency of pulsed high-speed tooth milling were found: a possible reduction in the power of the driving electric motor and the use of the energy of breaking interatomic bonds in subsequent milling.
Fıkıh Usulünde “Ta‘âruz ve Tercih”: İmam Şâtıbî Örneğinde
Authors: Sofuoğlu Hadi
Published: December 2024

Bu makalede fıkıh usulünde delillerin çatışması, karşı karşıya gelmesi durumunda (ta’âruz) çatışmayı gidermek ve delillerden birini tercih etmek üzere geliştirilen ve (tercih) diye isimlendirilen yöntem üzerinde durulacaktır. İlk dönemlerden itibaren akli ve nakli delillerin hem kendi içlerinde hem da aralarında vuku bulan çelişkilerin ele alındığı ve bunlar arasındaki çelişkiyi giderme yollarının uygulamalı olarak gösterildiği geniş bir literatür ortaya çıkmıştır. İşte bu konuyu ele alan usulcülerden biri de İmam Şâtıbî’dir. Kelime anlamı itibariyle, çatışma ve çelişki gibi anlamlara gelen ta’âruz, fıkıh usulünde iki eşit delil-den birinin diğerinin hükmünü ortadan kaldıracak şekilde karşı karşıya gelmesini ifade etmektedir. Gerçek manada fıkhın temel delilleri (Kur’an ve Sünnet) arasında bir çelişkinin bulunması birçok fakihe göre mümkün değildir. Şâtıbî de bu görüşü paylaşmaktadır. Fıkhi deliller söz konusu olduğunda çelişki daha çok öze dair değil yüzeyseldir. Fakihler söz konusu yüzeysel çelişkiyi gidermek için birbirinden farklı birçok yöntem geliştirmiştir. Ta'âruz durumunda tercih yöntemi fakihlerin içtihat ettiklerinde sıklıkla karşılaştıkları sorunların üstesinden gelmek için Şâtıbî tarafından da önerilen ve özellikle meşhur fıkıh usulü eseri el-Muvâfakât’ta üzerinde hassasiyetle durduğu bir metottur. Bu makale, fıkıh usulünde deliller arası çelişkiyi gidermek için nasıl bir yöntem takip edildiğini Şâtıbî’nin “el-Muvâfakât” adlı kitabı özelinde ele almayı ve “ta'âruz ve terciḥ” kavramlarından ne kastedildiğini ortaya koymayı amaçlayan betimsel bir litera-tür çalışması, kaynak araştırmasıdır. Sâtıbî'ye göre nasslar arasında gerçek manada bir ta'âruz (çelişki) bulunmaz. Ancak nassları anlamada müçtehitler arasında çelişkili bakış açıları bulunabilir. İlk bakışta çelişkili gibi görünen deliller üzerine müçtehitler tarafından derin ve evrensel bir çalışma yapılmalıdır. Müçtehitlerin söz konusu hassasiyetleri ve zekâları insan olmaları hasebiyle birbirleri arasında farklılık gösterdiğinden, bu durum müçtehitler arasında delillere bakışta, onları anlama ve yorumlamada ihtilafların ortaya çıkmasına neden olmaktadır. İşte Şâtıbî, bu soruna bir çözüm bulmak için geliştirdiği “tercih” yönteminin kullanılmasını ve bu sayede çelişkili gibi görünen nasslar arasında en güçlü ve tercihe şayan olanın tespit edilmesini önerir.
Şâtıbî’nin Nahvî İhtilâflara Bakışı
Authors: Kişmir Abdulkadir
Published: December 2024

Fıkıhta oluşturduğu mekâsıd düşüncesini nahve taşıdığı iddia edilen, edebiyat, fıkıh, tefsîr, kelâm, mantık gibi çeşitli alanlarda adından söz ettiren ve gramere yönelik el-Meḳâsidu’ş-şâfiye fî şerḥi ḫulâṣati’l-Kâfiye isimli eseriyle ön plana çıkan Şâtıbî, nahvî ihtilâfların değerine yönelik müstakil açıklamalar yapan önemli simalardan biridir. Fakat konu üzerinde yapılan akademik çalışmalarda Ebû Hayyân üzerinde daha çok durulmuş hatta bazılarında Şâtıbî’ye hiç atıfta bulunulmamıştır. Literatür taraması yöntemi kullanılarak ele alınan makalenin amacı Şâtıbî’nin söz konusu eserinde nahiv âlimleri arasında geçen ihtilâflara nasıl yaklaştığını tespit etmek ve yapılan tartışmaların nahiv ilmi açısından fayda temin edip etmediğine yönelik görüşlerini ortaya koymaktır. Makalede asıl-fer, âmil nazariyesi, irab, kelime türü ve sarfa yönelik bazı ihtilâfların sonuçta herhangi bir farklı nahvî hükme tesiri olmadığı ya da gereksiz bulunduğu Şâtıbî tarafından dile getirildiği sonucuna varılmıştır. Mevcut akademik çalışmalardan farklı ve özgün olduğunu düşündüğümüz bu makalenin ilim dünyasına katkı sağlayacağını umut ediyoruz.
Etiology, Clinical Profile and Outcome of Non-Traumatic in Children
Authors:   Department of Pediatrics, National Institute of Child Health, Karachi, Pakistan., Majeed Asma , Ashfaq Muhammad ,   Department of Pediatrics, National Institute of Child Health, Karachi, Pakistan., Shoukat Zara ,   Department of Pediatrics, National Institute of Child Health, Karachi, Pakistan., Aijaz Mariam ,   Department of Pediatrics, National Institute of Child Health, Karachi, Pakistan., Nisa Badar u ,   Department of Pediatrics, National Institute of Child Health, Karachi, Pakistan.
Published: December 2024

Abstract: Background: Non-traumatic coma in children is a neurological emergency associated with high risk of mortality and undesired consequences.
Objective: To investigate the etiology, clinical profile and neurological and clinical outcome in children presented with non-traumatic coma at National Institute of Child Health Karachi.
Materials and Methods: A prospective follow-up study was conducted on inpatients visiting pediatric department of National Institute of Child Health Karachi. The study period was six months from 20th December 2022 to 19th June 2023. One hundred and forty-three non-traumatic coma children of age 2 months to 16 years were consecutively selected for investigation. Each child was assessed for vitals, GCS score, duration of unconsciousness and presenting complaints. Laboratory investigations were performed to confirm the etiology of non-traumatic coma. Each child was followed until hospital discharge for final neurologic and clinical outcomes.
Result: Out of 143 non-traumatic coma children, male children were 77 (53.8%) and female children were 66 (46.2%) with mean age of 6.74 ± 2.68 years. The most common clinical presentation was fever 123 (86.0%) followed by convulsions 117 (81.8%), headache 112 (78.3%), fast breathing 83 (58.0%), vomiting 70 (49.0%) and abdominal pain 52 (36.4%). Viral encephalitis 41 (28.7%) and acute bacterial meningitis 31 (21.7%) were the most common infectious; while epilepsy 24 (16.8%) and acute poisoning 11 (7.7%) were the most common non-infectious etiologies of nontraumatic coma. The most common neurological outcome was moderate disability 80 (55.9%) children followed by mild and severe disability in 32 (22.4%) and 31 (21.7%) children, respectively. Overall, 112 (78.3%) non-traumatic coma children survived while 31 (21.7%) children died.
Conclusion: Infections were the most common cause of non-traumatic coma and also the most common cause of death in children. Meningitis including acute bacterial meningitis and tuberculosis meningitis was the only significant cause of death in children of non-traumatic coma. Death was significantly associated with severe disability.
Determinan Kepatuhan Wajib Pajak dengan Pengetahuan Sebagai Pemoderasi
Authors: Pualam Andi Ruby Arsy , Bulutoding Lince , Yariati Namla Elfa , Fadhilatunisa Della , Talaohu Sanunggarah
Published: December 2024

The decline in state revenue from taxes was due to the existence of taxpayers who did not comply in carrying out their tax obligations. The Indonesian government's efforts to make taxpayers comply in carrying out their tax obligations include implementing tax sanctions and the Voluntary Disclosure Program. The purpose of this study was to determine the effect of tax sanctions and Voluntary Disclosure Program on the compliance of individual taxpayers registered at KPP Pratama Makassar Utara. The population in this study were all individual taxpayers registered at KPP Pratama Makassar Utara using a sample of 100 samples based on purposive sampling as a sampling technique. Data analysis used multiple linear regression analysis and Moderated Regression Analysis. The results of this study show that tax sanctions and Voluntary Disclosure Program have a positive and significant effect on taxpayer compliance. The results of this study also indicate that knowledge of taxation has not been able to moderate the relationship between tax sanctions and the Voluntary Disclosure Program on taxpayer compliance.
The Moderating Effect of Accounting Conservatism on Managerial Ownership and Growth Opportunity Relationship
Authors: Akbar Muhammad , Romadhon Fitri , Fitri Alfiana , Pratama Ahmad Rizal Restu
Published: December 2024

The application of the accounting conservatism method in the company's financial statements is essential for company managers in their consideration of strategy development. In uncertain global economic conditions, the application of the precautionary principle or accounting conservatism in financial statements is needed to maintain the stability of the company's financial condition. This study aims to test and analyze the effect of managerial ownership and growth opportunities on accounting conservatism with leverage as a moderating variable. This study uses secondary data in the form of annual financial reports on property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) and Indonesian Capital Market Directory. This study used a purposive sampling technique. The results showed that managerial ownership affects accounting conservatism, while growth opportunity does not affect accounting conservatism. For leverage used as a moderating variable, it is unable to moderate the effect of managerial ownership and growth opportunity on accounting conservatism. This study can help investors and regulators understand the role of managerial incentives in shaping financial reporting behavior. Companies and regulators may want to consider ownership structure when evaluating financial transparency and risk.
The Financial Report Quality, Debt Maturity, and Foreign Ownership on Investment Efficiency Relationship
Authors: Wirdanadia Ananda , Herawaty Netty , Hernando Riski
Published: December 2024

This research aims to investigate the effect of financial report quality, debt maturity, and foreign ownership on investment efficiency. This research uses a quantitative method with the population of basic materials sector companies listed on the Indonesia Stock Exchange. The data analysis technique used in this research is multiple linear regression analysis. The results of this study indicate that simultaneously, the quality of financial statements, debt maturity, and foreign ownership do not affect investment efficiency. Partially, debt maturity affects investment efficiency. The quality of financial statements and foreign ownership does not affect investment efficiency. This study provides the main implication, namely the importance of improving the quality of corporate financial management so that investors know essential factors to evaluate investment potential. The financial statement quality ensures accurate information as a basis for making the right investment decisions. Debt to maturity affects liquidity risk and financial stability, and foreign ownership brings better governance practices and access to capital and technology, all of which contribute to improving investment efficiency.
Propuesta de un plan de gestión turística con enfoque en economía circular para los restaurantes turísticos de la playa Caballeros y playa Norte en Punta Hermosa, como instrumentos de gestión de residuos sólidos
Authors:   , Hernandez Lima Scarlet Deyanira , Vizarraga Rua Minerva Beatriz
Published: December 2024

Resumen: Los restaurantes turísticos generan diariamente toneladas de residuos sólidos sin aprovechamiento. Se buscó dar respuesta con la aplicación de la economía circular en restaurantes turísticos para la gestión de residuos sólidos de la Playa Caballeros y Playa Norte en el distrito de Punta Hermosa. El objetivo fue elaborar las bases de un plan de gestión turística con enfoque en economía circular para el aprovechamiento de residuos sólidos. Se realizó el estudio con cinco establecimientos seleccionados mediante el muestreo no probabilístico; trabajando con administradores y colaboradores. La metodología fue de enfoque cualitativo con alcance exploratorio y correlacional. Tuvo como resultados una fase inicial en la gestión de residuos enfocado a la imagen del restaurante. Sin embargo, los administradores hicieron énfasis en la apertura hacia la economía circular. En conclusión, la gestión ambiental se encuentra en una fase inicial, donde podrían implementar acciones para el desarrollo de iniciativas ambientales y promoción turística.
Factores socioeconómicos influyentes en la renuencia al examen de papanicolau en mujeres, en un hospital de Lima - 2023
Authors:   , Villalva Lopez Moises
Published: December 2024

Objetivo: Identificar los aspectos socioeconómicos que podrían influir en la renuencia a realizarse el examen de Papanicolau en un grupo de mujeres que asisten al Hospital de Ventanilla, Callao en el año 2023. Metodología: El tipo de estudio fue no experimental, de corte transversal y descriptivo. La población identificada fue de 300 mujeres atendidas anualmente en el mencionado Hospital, calculándose una muestra de 169 mujeres entre 30 - 59 años. Se emplearon dos cuestionarios cuantitativos cerrados con escala de Likert y evaluados mediante el coeficiente V de Aiken para claridad y pertinencia, y Confiabilidad mediante el coeficiente alfa de Cronbach. Resultados: Las mujeres encuestadas recibieron de manera heterogénea información respecto al cáncer de cuello uterino por parte del sistema educativo y a veces por parte del sistema de salud, económicamente logran cubrir sus necesidades básicas, y presentan actitudes y conocimientos positivos respecto a realizarse la prueba de Papanicolau, incluso llegando a promocionar su realización entre sus familiares y amigos.
Progressive Subchondral Bone Cyst Formation Following Autologous Chondrocyte Implantation with All-Suture Anchors: A Case Report with Histological Evaluation
Authors: Kaibara Takuma , Kondo Eiji , Matsuoka Masatake , Iwasaki Koji , Onodera Tomohiro , Momma Daisuke , Tanei Zen-ichi , Tanaka Shinya , Iwasaki Norimasa
Published: December 2024

Background
Subchondral bone cysts (SBCs) can significantly impact the outcomes of cartilage repair procedures such as autologous chondrocyte implantation (ACI). However, the etiology and progression of SBCs following ACI remain poorly understood. This case report highlights a progressively enlarging SBC following ACI using all-suture anchors, treated with autologous osteochondral transplantation (AOT).
Case Presentation
A 58-year-old female with progressive right knee pain, varus alignment, and Kellgren-Lawrence grade 3 osteoarthritis underwent atelocollagen-associated ACI combined with medial opening wedge high tibial osteotomy. Longitudinal radiological assessment revealed bone hole enlargement corresponding to all-suture anchor sites, with one hole continuing to expand up to 15 months postoperatively, reaching a size of 11 × 13 × 13 mm. This expanding SBC exhibited a connection to the joint cavity via a tiny fissure, scant osteosclerotic rim on CT, and fluid intensity on MRI. Histological analysis of tissue obtained during subsequent AOT revealed several findings. The SBC was located at the anterior portion of the medial femoral condyle, just beneath the all-suture anchor. Osteochondral necrosis was observed surrounding the anchor site, with no evidence of foreign body reaction. The cyst was filled with a mucoid substance and featured an aggregation of foamy macrophages. A sclerotic wall indicative of a strain response was observed. Notably, the presence of osteoclasts along the adjacent bone surface indicated ongoing bone resorption. The patient underwent AOT, which resulted in confirmed bone union. Postoperative follow-up demonstrated successful integration of the osteochondral graft and improved knee function scores over three years.
Conclusion
This case report documents SBC formation following knee surgery with all-suture anchors and provides histological evaluation of such a cyst. The observed histological findings may contribute to our understanding of SBC pathophysiology in the context of cartilage repair procedures. This case underscores the importance of secure suturing techniques in high-stress areas and suggests the potential benefit of extended post-operative monitoring of SBC progression beyond one year. These observations may inform future strategies for the early detection of SBC formation and its progression, as well as timely intervention to prevent further joint damage in similar cases, though further research is needed to establish broader clinical implications.
Does Innovation-driven Policy Optimize Urban-Energy-Consumption Structure? Evidence from National Innovation-driven City Pilot Policies
Authors: Cong Yingnan , Hou Yufei , Ji Yuan , Cai Xiaojing
Published: December 2024

The restructuring of energy consumption is vital for fostering green, low-carbon economic, and societal development. Innovation-driven policies, as exemplified by incentives in pilot cities, are crucial in this restructuring. In this study, theoretical analysis is performed to elucidate the impact of innovation-driven policies on the structure of urban-energy consumption. Specifically, a multi-timepoint difference-in-differences model is employed, where national innovation-driven city pilot policies are leveraged in a quasi-natural experiment to systematically assess the impact. The study demonstrates that innovation-driven policies, as showcased by national pilot programs, substantially enhance the structure of urban-energy consumption. Moreover, the impact of this policy is significantly greater in cities with lower administrative tiers, greater geographical challenges, and greater focus on environmental preservation. Tests reveal that innovation-driven policies affect the structure of urban-energy consumption via green innovation and industrial structural optimization. The findings from this study offer valuable policy guidance for optimizing innovation-driven policies to benefit the energy-consumption structure, thus fostering sustainable development within the Chinese economy.
Prediction for typical respiratory diseases development under main meteorological factors based on lag effect and neural network modeling
Authors: Liu Ting , Liu Xiao , Liu Shilei , Chen Wei , Liu Yahua
Published: December 2024

Respiratory diseases affect human health significantly, and understanding their impact factors and future development is conducive to helping improve effective prevention and treatment. Especially with global climate change, the impact of meteorological factors on respiratory diseases is non-negligible. This paper used 2023–2024 data of the number of respiratory disease visits and incidence in Haidian District of Beijing, combined with meteorological data for the same period, to conduct correlation analysis using Origin 2021, to develop a BP neural network time series prediction model using MATLAB R2022a. The results showed that the meteorological factors had a significant effect on the occurrence of respiratory diseases. Temperature had the greatest effect on the number of respiratory disease visits, the number of A and B flu-positive individuals and the number of COVID-19 positive individuals, with the high-risk temperature ranges of: -4 ~ 16°C and > 23°C, -3 ~ 16°C, 2 ~ 16°C, and the peaks of the risks of 6°C, 5°C, and 8°C, respectively. The lag effect of temperature on the number of visits and COVID-19 positives was not significant, but had a significant effect on the number of A and B positives, with high temperatures being the most significant. The lag effect of low air pressure had a significant effect on the number of A&B positives and persisted for 7 days, since low air pressure affects the supply of oxygen in the body and increases the susceptibility to respiratory illnesses. Lower air humidity had a significant lag effect on the number of visits and COVID-19 positives, but not on the number of A and B flu-positives. The daily average relative humidity ranges with the lowest risk for the number of visits, A and B flu positives and COVID-19 positives were 40–80%, 40–72% and 36–79%, respectively. The modeling determination coefficients of the BP neural network-based time-series prediction for the total number of visits, A and B flu-positive, and COVID-19 positive were 0.94, 0.98, and 0.92, respectively, and the validation determination coefficients were 0.88, 0.69, and 0.59, respectively, with the modeling root mean square error RMSEs of 15.34, 3.34, and 2.07, respectively, and the validation root mean square error RMSEs of 13.37, 6.21 and 2.88, respectively. The proposed model achieves accurate estimation of future visits and positive rate, especially effective in predicting the total visits. This study can provide technical support for the scientific prevention and control of respiratory diseases and scientific evidence for the development of measures related to meteorological-based medical forecasting.
Synaptic vesicle endocytosis deficits underlie GBA-linked cognitive dysfunction in Parkinson’s disease and Dementia with Lewy bodies
Authors: Chandra Sreeganga , Vidyadhara D J , Bäckström David , Chakraborty Risha , Ruan Jiapeng , Park Jae-Min , Mistry Pramod
Published: December 2024

GBA is the major risk gene for Parkinson’s disease (PD) and Dementia with Lewy Bodies (DLB), two common α-synucleinopathies with cognitive deficits. We investigated the role of mutant GBA in cognitive decline by utilizing Gba (L444P) mutant, SNCA transgenic (tg), and Gba-SNCA double mutant mice. Notably, Gba mutant mice showed early cognitive deficits but lacked PD-like motor deficits or α-synuclein pathology. Conversely, SNCA tg mice displayed age-related motor deficits, without cognitive abnormalities. Gba-SNCA mice exhibited both cognitive decline and exacerbated motor deficits, accompanied by greater cortical phospho-α-synuclein pathology, especially in layer 5 neurons. Single-nucleus RNA sequencing of the cortex uncovered synaptic vesicle (SV) endocytosis defects in excitatory neurons of Gba mutant and Gba-SNCA mice, via robust downregulation of genes regulating SV cycle and synapse assembly. Immunohistochemistry and electron microscopy validated these findings. Our results indicate that Gba mutations, while exacerbating pre-existing α-synuclein aggregation and PD-like motor deficits, contribute to cognitive deficits through α-synuclein-independent mechanisms, involving dysfunction in SV endocytosis.
Deformation properties of rock strata based on angular displacement and its hydrogeological significance
Authors: Lu Cunjin , Zhao Hui , Xu Jinpeng , Bian Kai
Published: December 2024

The deformation behavior of the roof and floor strata during coal seam mining plays a critical role in the development of mining-induced fractures and is an intrinsic factor in the prevention and control of coal and rock dynamic disasters, such as mine water hazards. This study investigates the critical values of the rock failure angle displacement based on the deformation performance of the strata through both laboratory and field experiments. A method for assessing the strata failure condition using the differences in deformation performance is proposed. The results indicate that the critical value of the rock failure angle displacement is closely related to the lithology, thickness, and cross-sectional area of the strata. Strata with higher strength can withstand greater loads, exhibiting larger critical angle displacements, whereas strata with lower strength experience greater angle displacements under the same load, resulting in more significant deformations. Strata with larger thicknesses and cross-sectional areas tend to have smaller critical angle displacements, indicating a reduced capacity for deformation. The angle displacement (θi) and the critical angle displacement (θ0) under unit stress differ, leading to temporal and dynamic differences in the horizontal and vertical fracture formation during strata deformation and failure. This results in the manifestation of “anisotropic seepage” behavior in groundwater, which gives rise to various forms of water hazards, including sequential water inflow, delayed water outbursts, and backflow. By using the critical values of angle displacement under unit stress as a criterion for determining strata deformation and failure, the extent of fracture development and the range of mining-induced damage zones can be more conveniently assessed compared to traditional mechanical criteria. The findings of this study are of significant practical importance for the prevention and control of mine water hazards and the protection of groundwater environments.
Common Soil Bacteria Negatively Impacts the Growth of Physarum Polycephalum
Authors: gao aidan
Published: December 2024

Physarum polycephalum, known as slime mold, is a multinucleate protist that develops networks to search for food. To understand the effects of bacteria and competition on P. polycephalum growth, this experiment investigated the effects of introducing Bacillus cereus, Micrococcus luteus, and Clostridium sporgenes into P. polycephalum in LB and pure agar media and measured the growth of P. polycephalum squares after four days. The introduction of bacteria to LB agar resulted in a decrease in growth of 86%, from an average of 14.6 to 1.67 squares covered with a P value < 0.001, whereas pure plates yielded no deviation from the control. These results suggest that the introduction of bacteria interferes with P. polycephalum growth, likely because bacterial clustering reduces predation ability.
Optical vortex atomic magnetometer
Authors: Deachapunya Sarayut , Buathong Sitti , Srisuphap Sorakrai , Deechuen Pissunee
Published: December 2024

We introduce an atomic magnetometer based on 85Rb atomic sensing in double-pass configuration, which is normally used in Dopplerfree saturation spectroscopy. Both the Zeeman and the Faraday effect take place in our technique. We enhance our magnetometer with an optical vortex (OV) beam contained orbital angular momentum (OAM) state. An advantage of our scheme is the use of a single laser source or a single wavelength. This laser beam can work as both the pump and the probe beam simultaneously. Several parameters such as laser detuning,
power, polarization, OAM state, and Rb temperature have been tested in order to optimize the setup. An accuracy of 100 pT in a large scale measurement of a few millitesla can be achieved with our recent setup. Our atomic magnetometer is simple and it has potential applications in quantum technology and even in geological surveys.
A Federated Weighted Learning Algorithm against Poisoning Attacks
Authors: Ning Yafei , Zhang Zirui , Li Hu , Xia Yuhan , Li Ming
Published: December 2024

The emergence of Federated Learning (FL) has provided a promising framework for distributed machine learning, where the probability of privacy leakage is minimized. However, the existing FL protocol is vulnerable to malicious poisoning attacks, thus affecting data privacy. To address this issue, Federated Weighted Learning Algorithm (FWLA) is introduced. In FWLA, the weight of each client is self-adjusted and optimized using asynchronous method and residual testing method during updating process. Each client uploads parameters independently in designed asynchronous training. Experiments show that the proposed framework can achieve at least 97.8% accuracy and at most 3.6% false acceptance rate for the CICIDS2017, UNSW-NB15 and NSL-KDD datasets, which reflects its state-of-the-art performance. Furthermore, when noise data exist in the training dataset, FWLA can also reduce the decline of accuracy, which ensures the robustness of federated learning.
Anomaly Detection in Quadcopter Systems Using AI and Vibration Signal Processing
Authors: LALEM Mohamed Seif El Islam , OUADAH Mhamed , TOUHAMI Omar
Published: December 2024

This study examines the implementation of artificial intelligence (AI) techniques for anomaly identification in quadcopters, concentrating on vibration data obtained from the ADXL345 accelerometer. The ESP32 Wi-Fi module analyses and transmits these signals, delivering high-resolution data appropriate for real-time monitoring. Diverse AI methodologies, encompassing supervised learning algorithms, are utilised to analyse the data and identify anomalies. Feature extraction techniques, including standard deviation (std), variance, and mean absolute deviation (MAD), are employed to augment the predictive capability of the data. Classifiers such as Random Forest and Support Vector Machine(SVM) are utilised on the retrieved features, with a maximum accuracy of 97.78%. The amalgamation of AI and IoT technologies facilitates an efficient and effective approach to enhance defect identification and problem diagnostics in unmanned aerial vehicles (UAVs), presenting substantial promise for augmenting the dependability and safety of these systems.
Study on the Motion Law of Metal Particles Based on Microfluidic Inductive Viscosity Measurement
Authors: Li Wei , Liu Yu , Han Wenbo , Tang Chaojun , Zhong Yuhang , Yue Haoyu , Zhao Bingqing , Zhang Hongpeng
Published: December 2024

Based on the principle of microfluidic inductive detection, this paper designs a micro viscosity measurement sensor for marine lubricating oil. The motion law of metal particles in the microchannel is studied by numerical simulation and experimental verification. The effects of parameters such as oil viscosity, oil density, particle diameter, particle density, and particle position on particle velocity are studied respectively. When the particles move at the bottom of the microchannel, as the particle diameter increases, the particle velocity first increases and then decreases. Among them, when the particle diameter is less than 600µm, the particle diameter is linearly proportional to the particle velocity at the same viscosity. The viscosity measurement experimental results at different temperatures are consistent with the simulation results. This study provides new ideas for the motion law of metal particles in microchannels, and also provides a new method for measuring the viscosity of marine lubricating oil, which avoids the occurrence of a major malignant accident.
Potential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology
Authors: Fan Yuxin , Yang Yong , Wang Yunhong , Wang Jirui , Hua Lei , Zhang Xiaomei , Gao Sijia
Published: December 2024

As a source of Tibetan medicine “Dali”, Rhododendron anthopogonoides Maxim (RAM) has good medically helpful effect on respiratory diseases. However, the pharmacological and pharmacodynamic research on its active components is still scarce. In order to solve this problem, the research method of network pharmacology is used. The active components of RAM were obtained by searching the relevant literatures, and the protein targets of RAM were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP) with normalizing to the gene name through UniProt. Genes related to acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) were searched by Online Mendelian Inheritance in Man (OMIM) database and GeneCards database. The “Component-Target-Protein” network was established by Cytoscape software, and the core targets were screened by combining with STRING. And then the targets were analyzed for Gene Ontology function (GO) and Kyoto Encyclopedia of Genes and Genomes database (KEGG) pathway enrichment. We found 92 active components of RAM and 176 gene targets of ALI/ARDS were screened, including 46 common targets, which were related to biological processes such as inflammation, immune and inflammatory response, cell growth and differentiation and apoptosis. In conclusion, RAM regulates a variety of physiological processes such as cell growth, differentiation, apoptosis and death by activating the Toll-like receptor signaling pathway, TNF signaling pathway and etc., as well as regulating the inflammatory response of cells, the immune response of the body and promoting the inflammatory cytokines NF‐κB dependent expression and other processes to treat ALI/ARDS. This study revealed the mechanism of RAM multi-component, multi-target and multi-pathway, and provided scientific basis and research ideas for its clinical application.
The Driving Relationship of China Carbon Price Based on Different Market Volatility States
Authors: Li Ni  , Venus Khim-Sen Liew
Published: December 2024

The China carbon market is a market-oriented designation for addressing climate issues. Price mechanism is the core of carbon market, studying on the price formation can promote the emission reduction targets. This paper conducts an autoregressive adjusted Markov model to divide the carbon price state, and designs a multiple regression model to test the driving mechanism. The results show the 2 order autoregressive Markov model of MS (2) - AR (2) model can classify the carbon price into high and low volatility states. Furthermore, in high volatility state, carbon price is only significantly positively correlated with macroeconomic factors of China Securities Index 300 (CSI300) and European carbon price of European emission allowance future contract (EUAF), while in low volatility state, carbon price is significantly positively influenced by energy market products JM future (JMF) and Oil, macroeconomic factor of CSI300, and European carbon price of EUAF. Furthermore, the impact strength is weaker than the whole sample regression results. The results provide reference for investors to judge carbon price and reveal price trends.
Effects of high temperature annealing and low temperature metamictization on Archean zircon: constraints from U–Pb isotopes, trace elements and Raman dating
Authors: Ribeiro Carlos V. A. , Dantas Elton L. , Fuck Reinhardt A.
Published: December 2024

Zircon is a common accessory mineral that can survive extreme temperature conditions in the crust, although U-Th series radioactive decay is responsible for its self-destruction over long time scales. Upon exhumation at lower temperatures, metamict zircon grains are then more susceptible to isotopic and trace element disturbance. In this work, we investigated the isotopic and trace element behavior of zircon through LA-ICP-MS, coupled with Raman spectroscopy, from two Archean mylonitic samples within the São José do Campestre Massif, northeastern Brazil. U–Pb in zircon dating indicates Paleoarchean (3.3 Ga) sedimentation followed by Mesoarchean (3.0–2.9 Ga) high temperature metamorphism in the mylonitic paragneiss sample, while the mylonitic amphibolite was emplaced during the late Neoarchean (2521 ± 22 Ma) and reached high-temperature conditions during shear zone development and deformation during the Paleoproterozoic (2.0 Ga). Inherited zircon grains in the amphibolite are consistent in morphology and ages with zircon grains from the host paragneiss. However, high temperature annealing and structure recovery upon entrainment of inherited zircon grains in the hot mafic magma led to homogenization of trace elements and preservation of internal textures. On the other hand, zircon grains from the host paragneiss accumulated radiation damage for a longer time, leading to self-destruction of the crystalline structure. Upon later low temperature fluid influx, non-formula elements were incorporated in metamict grains, as evidenced by the positive correlation between trace elements and radiation damage. Raman zircon dating indicates Cambrian to Late Paleozoic exhumation for these rocks, which agrees with U–Pb in zircon lower intercept ages. Although often avoided in geochronological studies, metamict zircon can provide important constraints on low temperature events. Collectively, these observations show a complex trans-crustal history of zircon recycling and exhumation from the Paleoarchean to the Paleozoic and the rock-dependent behavior of zircon upon fluid flow and deformation. The results have implications for the interpretation of trace 36 elements in naturally annealed zircon grains, especially those inherited in mafic rocks.
Alternating Sword Controller in First-Person Action Game using Fuzzy Logic for Adaptive Enemy
Authors: Azra Arby Azyumardi , Harisa Ardiawan Bagus
Published: December 2024

Virtual Reality (VR) has become widespread in the gaming industry, but the high cost of VR devices makes it difficult for gamers to own one. This research provides a solution by creating a new First-Person Action game that has Motion Controller using the gyroscope sensor on smartphones. A game with adaptive difficulty is necessary, as playing a game that is too easy or difficult can lead to frustration and boredom. This research applies the Fuzzy method to implement the adaptivity of the enemy to the player. The Fuzzy system will model the player's ability based on their performance in a level and produce an impact on the enemy in the next level. We produced a simple VR game on a smartphone with a Fuzzy system that automatically adapts the difficulty by using “Resistance” as the enemy’s new life. As a result, 90.5% of the 14 respondents that faced the difficulties in each of the levels are being adjusted by the game. Even though the experiences of each respondent are different, most respondents can intuitively play the game without asking for help.
Implementation of Enhanced Re-Engineering on Trivia Game to Improve Immersion
Authors: Adryan Nur Fathur , Nuryasin Ilyas , Wibowo Hardianto
Published: December 2024

Trivia games are one type of educational game that is in great demand and can be used as a medium of entertainment as well as a learning medium. In order to make a game in the same segment more unique and immersion, software re-engineering techniques are used in the trivia game. In re-engineering the trivia game, three methods are used: Enhanced Re-Engineering as a software re-engineering method; Game Development Life Cycle (GDLC) in the development of the Hidden Object Trivia game; and MEEGA+ as a testing method for the trivia game and the Hidden Object Trivia game to determine the increase in immersion value of the two games. The results of re-engineering the Tech Geek Quiz game led to the successful integration of trivia and hidden object genres, resulting in the creation of the Guess The Tech Tool game. The test results using MEEGA+ with 30 respondents showed an increase in immersion values of 50.26% from 1.89 to 2.84 in the usability factor and 30.29% from 2.08 to 2.71 in the player experience factor. The results were taken from all dimensions of the questions that had been asked.
Assessment of the current state of road traffic safety in Ukraine
Authors: Shramko Sabriie Seitzheliivna
Published: December 2024

The article analyses the state of road safety in Ukraine. The author provides statistics on deaths and injuries due to road accidents for 2021-2023 and concludes that under the legal regime of martial law, the issue of road safety has not lost its relevance, as the level of road traffic injuries in Ukraine remains consistently high. Thus, in 2023, the number of road accidents with victims in Ukraine reached the levels before russia's full-scale invasion: in 2023, 23,642 road accidents with fatalities and/or injuries occurred in Ukraine, which is 26.9% more than in 2022. It is noted that in the first year of russia's full-scale invasion of Ukraine, new dangers on the roads were added. The article presents the results of a survey on the state of compliance with traffic rules in Ukraine, in which more than 2 thousand citizens took part. The answers obtained convincingly indicate that the dominant determinant of road accidents is the consciousness, will, and emotions of drivers, whose criminogenic manifestations are facilitated, in particular, by a low culture of behaviour, neglect of compliance with traffic rules, and the lack of perception of the inevitability of legal liability. The author concludes that the ambitious goal set out in the Strategy for Improving Road Safety in Ukraine for the period up to 2024 to reduce the road traffic death rate by at least 30% by 2024, as well as to reduce the severity of road traffic accidents for road users and to reduce socio-economic losses from road traffic injuries will not be achieved. In this context, the author emphasises that achieving the planned goal of reducing the death rate as a result of road accidents is possible only if the level of legal awareness of all road users is increased by introducing a culturological concept into the practice of preventive activities.
Penerapan Sistem Pakar Menggunakan Metode Certainty Factor untuk Diagnosis Penyakit pada Tanaman Jagung
Authors: Fivalianda Dido , Desiani Anita
Published: December 2024

Diseases in corn plants are a major factor contributing to suboptimal corn production and can even lead to crop failure. Common diseases in corn include downy mildew and leaf blight. Downy mildew in corn is characterized by symptoms such as khorotil-colored streaks running parallel to the leaf veins, white spots, inhibited growth, and rolled leaves. These symptoms prevent optimal corn growth and may result in total crop failure. This research focuses on developing an expert system to diagnose corn diseases using the Certainty Factor (CF) method. The CF method is designed to provide a degree of certainty in diagnosis or analysis based on symptoms or evidence, especially in situations with limited absolute certainty. The system developed in this study achieves an accuracy rate of 68.74% for diagnosing leaf blight in corn.Keywords: expert system, CF, corn crop disease, downy mildew, leaf blight.
Model Kontrol Pada Ekosistem Perkebunan Teh
Authors: Diana Arista Fitri , Romadan Gilang , Khumaeroh Mia Siti , Aulia Lathifatul , Iktiyar Zakaria Bani
Published: December 2024

Tea plants are one of the commodities in Indonesia. In their development, the plantation ecosystem is heavily influenced by several factors, both internal and external factors. In the field of applied mathematics, mathematical modelling can be used to analyze the development of tea plant growth and their interaction each othe in their ecosystem. The mathematical model in this research is combining three main models, there are logistic model, epidemiological model, and predator prey model by adding fungicide and insecticide controls. Furthermore, local stability analysis is carried out and the optimal control problem is solved by Pontryagin maximum principle. The results of the analysis obtained five equilibrium points. Local stability analysis was carried out using the Routh Hurwitz criteria which showed the fifth equilibrium point is locally asymptotically stable. The basic reproduction number in the model is 0,99. Because  it can be concludeed that there is no spread of disease in the tea plantation ecosystem after a period of 5 years. The control provided can reduce pest and disease attacks. After being given control, the population of infected tea plants decreased by 93,21%, Empoasca pests decreased by 99,47%, and leaf roller caterpillars decreased by 99,31% compared to the model that was not given control.Keywords: Tea Plantation, Dynamical Model, Fungicide, Insecticide, Optimal Control.
Perbandingan MAPE Metode Arima dan FTS Chen pada Peramalan Harga Minyak Mentah Widuri di Indonesia
Authors: Ikhtiyar Zakaria Bani , Sulistijanti Wellie , Sari Silvia Novita , Mahiruna Adiyah
Published: December 2024

The need for crude oil greatly affects economic activities on a micro and macro scale. Indonesia is one of the countries that produces crude oil, although the amount produced is not as large as countries in the Middle East. The global price of crude oil has a direct impact on Indonesia's rising fuel prices. To find out the world price of crude oil in the future, forecasting can be done. Widuri type crude oil is one of the crude oils that is a priority in Indonesia. This study compares the accuracy of forecasting the price of Widuri type crude oil with the MAPE accuracy calculation method and the forecasting method compared is the ARIMA method with the FTS Chen method.Keywords: forecasting, Oil, ARIMA, Fuzzy Time Series (FTS) Chen.
E-Learning Course of English in University Curriculum
Authors: Sungatullina Zul'fiya
Published: December 2024

Authentic online resources have great potential for e-learning courses of English. The research tested the efficiency of an English online manual for students of Math and IT. The course was developed as part of curriculum to help students to prepare for the Federal Online Exam in vocational education. The experiment involved 280 first-year students who had been working with the e-manual in September 2021 – June 2022. The e-manual consisted of tasks that develop listening, grammar, vocabulary, and cultural comprehension. The e-learning course proved effective in training grammar skills, expanding vocabulary, and checking cultural knowledge. The mean entrance test score was 53.5 points while the mean final test score was 77.9 points. The students’ skills in grammar, vocabulary, and culture grew by 24.3 points. The students showed good results in grammar, vocabulary, listening, and cultural studies. The e-manual can be used as a simulator to prepare students for the Federal Online Exam in vocational education. The tasks designed for A1-B2 students may be effective for students of other majors.
Preliminary Investigation of Crimes Against Personal Liberty: Algorithms for Resolving Investigative Issues
Authors: Kalyuzhnyy Aleksandr
Published: December 2024

Crimes against personal liberty are numerous and latent in nature. As a result, investigators should rely on scientific recommendations as early as at the preliminary stage of investigation because the procedural means of preliminary verification of crime reports have increased in number. The article describes judicial and investigative practice of investigation of crimes against personal liberty, as well as issues of investigative verification that arise at the preliminary stage. The research covered the following situations: a) the offence report was filed by relatives or witnesses (31.9%); b) information about the crime surfaced as a result of investigative measures (21.8%); c) the crime report was filed by the victim (44.2%). A set of systematic and activity-based approaches combined with standard research methods made it possible to conclude that the abovementioned situations require consistent and scientific algorithms for a legitimate and informed decision to be made in line with Article 145 of the Code of Criminal Procedure of the Russian Federation. In the first case, the algorithm is aimed at obtaining billing data from relatives and witnesses. The second verification situation requires an operational experiment. The third situation requires a set of investigative actions and search measures based on the information received from the victim.