bluuebunny/crossref_metadata_2025 huggingface dataset:
TOTALITARISMO DE HANNAH ARENDT NA OBRA 1984 DE GEORGE ORWELL
Authors: Lima Márcio José Silva
Published: March 2023

Por muitas vezes a literatura funciona como um reflexo do pensamento filosófico. Enquanto obra de arte, ela opera como um dispositivo capaz de expressar na prática aquilo que, em certa medida, os conceitos filosóficos não conseguem explicar. A literatura, então, acaba por se tornar um modo prático pelo qual o pensamento filosófico pode ser compreendido. Com base no exposto, o presente artigo tem como objetivo apresentar o totalitarismo segundo Hannah Arendt para, em seguida, relacioná-lo com o ambiente distópico encontrado na obra 1984. Em outras palavras, buscaremos analisar o conceito de sistema totalitário à luz do pensamento da filósofa e depois comprovar se este sistema pode ser encontrado na obra literária de George Orwell. Para tanto, utilizaremos duas obras em nosso estudo: As Origens do Totalitarismo, de Hannah Arendt e 1984 de George Orwell. Como se trata da análise conceitual de uma obra literária, advertimos o leitor para a presença de spoilers.
Complex network of eye movements during rapid automatized naming
Authors: Wang Hongan , Liu Fulin , Yu Dongchuan
Published: March 2023

Introduction

Although the method of visualizing eye-tracking data as a time-series might enhance performance in the understanding of gaze behavior, it has not yet been thoroughly examined in the context of rapid automated naming (RAN).

Methods

This study attempted, for the first time, to measure gaze behavior during RAN from the perspective of network-domain, which constructed a complex network [referred to as gaze-time-series-based complex network (GCN)] from gaze time-series. Hence, without designating regions of interest, the features of gaze behavior during RAN were extracted by computing topological parameters of GCN. A sample of 98 children (52 males, aged 11.50 ± 0.28 years) was studied. Nine topological parameters (i.e., average degree, network diameter, characteristic path length, clustering coefficient, global efficiency, assortativity coefficient, modularity, community number, and small-worldness) were computed.

Results

Findings showed that GCN in each RAN task was assortative and possessed “small-world” and community architecture. Additionally, observations regarding the influence of RAN task types included that: (i) five topological parameters (i.e., average degree, clustering coefficient, assortativity coefficient, modularity, and community number) could reflect the difference between tasks N-num (i.e., naming of numbers) and N-cha (i.e., naming of Chinese characters); (ii) there was only one topological parameter (i.e., network diameter) which could reflect the difference between tasks N-obj (i.e., naming of objects) and N-col (i.e., naming of colors); and (iii) when compared to GCN in alphanumeric RAN, GCN in non-alphanumeric RAN may have higher average degree, global efficiency, and small-worldness, but lower network diameter, characteristic path length, clustering coefficient, and modularity. Findings also illustrated that most of these topological parameters were largely independent of traditional eye-movement metrics.

Discussion

This article revealed the architecture and topological parameters of GCN as well as the influence of task types on them, and thus brought some new insights into the understanding of RAN from the perspective of complex network.
A novel pyramid temporal causal network for weather prediction
Authors: Yuan Minglei
Published: March 2023

In the field of deep learning, sequence prediction methods have been proposed to address the weather prediction issue by using discrete weather data over a period of time to predict future weather. However, extracting and utilizing feature information of different time scales from historical meteorological data for weather prediction remains a challenge. In this paper, we propose a novel model called the Pyramid Temporal Causal Network (PTCN), which consists of a stack of multiple causal dilated blocks that can utilize multi-scale temporal features. By collecting features from all the causal dilated blocks, PTCN can utilize feature information of different time scales. We evaluate PTCN on the Weather Forecasting Dataset 2018 (WFD2018) and show that it benefits from multi-scale features. Additionally, we propose a multivariate loss function (MVLoss) for multivariate prediction. The MVLoss is able to accurately fit small variance variables, unlike the mean square error (MSE) loss function. Experiments on multiple prediction tasks demonstrate that the proposed MVLoss not only significantly improves the prediction accuracy of small variance variables, but also improves the average prediction accuracy of the model.
The influence of bilingual experience on executive function under emotional interference: Evidence from the N1 component
Authors: Tao Yachen , Zhu Zhi , Liu Yan
Published: March 2023

The influence of bilingual education and experience on an individual’s information-processing ability has recently been a hot issue in international studies. Previous studies have found that bilingual experience affects executive function, but the results remain controversial. Executive function refers to the conscious control of purposeful behavior. It is responsible for processing high-level action controls, including such sub-functions as inhibitory control, cognitive switching, and working memory updating. Emotion, as an essential factor in daily life, also has a complex interaction with executive function. This paper explores whether the bilingual cognitive advantage effect can continue in the more complex conditions of emotional interference. To investigate the specific electrophysiological characteristics of the participants at different stages of cognitive processing, we used a combination of the behavioral and ERP experiments in which the positive, neutral, and negative emotional stimuli were selected as emotional interference conditions and the emotional Simon paradigm, the cognitive switching of emotion paradigm, and the emotional N-back paradigm was adopted. The results show that the main effect of the N1 component amplitude is significant. Specifically, the amplitude of the N1 component in the proficient bilinguals is significantly smaller than that of the non-proficient bilinguals, while the main effects of other component groups are not significant, indicating that under the condition of emotional interference, the influence of bilingual experience on executive function only exists in the early attention stage and that the bilingual experience can improve the individual’s attentional control and speed up attention processing in the early attention stage.
Intra-Abdominal Desmoplastic Small Round Cell Tumor (DSRCT) and the Role of Hyperthermic Intraperitoneal Chemotherapy (HIPEC): A Review
Authors: Reijers Sophie J. M. , Siew Caroline C. H. , Kok Niels F. M. , Honoré Charles , van Houdt Winan J.
Published: March 2023

Desmoplastic small round cell tumor is a very rare and highly aggressive soft tissue sarcoma, usually presenting with multiple intra-abdominal tumors in young males. Patients present with advanced disease and the overall survival is dismal. Multiple studies report relatively favorable outcomes with multimodal treatment consisting of chemotherapy, surgery and radiotherapy. If resection is feasible, complete cytoreductive surgery is the cornerstone of surgical treatment. The benefit of hyperthermic intraperitoneal chemotherapy in addition to cytoreductive surgery is unclear, and few studies have evaluated this option. We sought to identify the role of hyperthermic intraperitoneal chemotherapy in patients with intra-abdominal desmoplastic small round cell tumor. Our review of the available literature revealed no clear survival benefit in performing hyperthermic intraperitoneal chemotherapy after cytoreductive surgery.
Multi-Receptive Field Soft Attention Part Learning for Vehicle Re-Identification
Authors: Pang Xiyu , Yin Yilong , Zheng Yanli
Published: March 2023

Vehicle re-identification across multiple cameras is one of the main problems of intelligent transportation systems (ITSs). Since the differences in the appearance between different vehicles of the same model are small and the appearance of the same vehicle changes drastically from different viewpoints, vehicle re-identification is a challenging task. In this paper, we propose a model called multi-receptive field soft attention part learning (MRF-SAPL). The MRF-SAPL model learns semantically diverse vehicle part-level features under different receptive fields through multiple local branches, alleviating the problem of small differences in vehicle appearance. To align vehicle parts from different images, this study uses soft attention to adaptively locate the positions of the parts on the final feature map generated by a local branch and maintain the continuity of the internal semantics of the parts. In addition, to obtain parts with different semantic patterns, we propose a new loss function that punishes overlapping regions, forcing the positions of different parts on the same feature map to not overlap each other as much as possible. Extensive ablation experiments demonstrate the effectiveness of our part-level feature learning method MRF-SAPL, and our model achieves state-of-the-art performance on two benchmark datasets.
Adiabatic Amplification of Energy and Magnetic Moment of a Charged Particle after the Magnetic Field Inversion
Authors: Dodonov Viktor V. , Dodonov Alexandre V.
Published: March 2023

We study the evolution of the energy and magnetic moment of a quantum charged particle placed in a homogeneous magnetic field, when this field changes its sign adiabatically. We show that after a single magnetic field passage through zero value, the famous adiabatic invariant ratio of energy to frequency is reestablished again, but with a proportionality coefficient higher than in the initial state. The concrete value of this proportionality coefficient depends on the power index of the frequency dependence on time near zero point. In particular, the adiabatic ratio of the initial ground state (with zero radial and angular quantum numbers) triplicates if the frequency tends to zero linearly as a function of time. If the Larmor frequency attains zero more than once, the adiabatic proportionality coefficient strongly depends on the lengths of the time intervals between zero points, so that the mean energy behavior can be quasi-stochastic after many passages through zero value. The original Born–Fock adiabatic theorem does not work after the frequency passes through zero. However, its generalization is found: the initial Fock state becomes a wide superposition of many instantaneous Fock states, whose weights do not depend on time in the new adiabatic regime.
A Secret Marriage and Denied Rights: A Critique from an Islamic Law Perspective
Authors: Erkoc Baydar Tuba
Published: March 2023

Today, secret marriages are a known problem among Muslims, but discussions and debates are avoided. People who are unwilling to take on the responsibilities of marriage yet do not want to commit adultery, one of the major sins in Islam, practice secret marriages. However, this leads to the deprivation of rights for parties and children born in these unions. Some claim that the legal justification for secret marriages is provided by the view that the presence of witnesses and the parties to be married is sufficient for a marriage contract. Therefore, this article aims to critically examine the views of the four Sunnī legal schools on testimony (shahada) or proclamation (i’lan) in relation to marriage, and how these conditions align with the requirement for protecting the rights of all parties involved in the marriage. Upon examination, this article also will delve into unregistered marriages and illustrate how both types of marriages do not adequately establish the rights of those involved. In order to accomplish this objective, the article will use a descriptive methodology that directly refers to primary texts and certain fatwa institutions, such as the Diyanet (the Presidency of Religious Affairs in Turkey), to present the jurists’ discourses.
Towards Home-Based Diabetic Foot Ulcer Monitoring: A Systematic Review
Authors: Kairys Arturas , Pauliukiene Renata , Raudonis Vidas , Ceponis Jonas
Published: March 2023

It is considered that 1 in 10 adults worldwide have diabetes. Diabetic foot ulcers are some of the most common complications of diabetes, and they are associated with a high risk of lower-limb amputation and, as a result, reduced life expectancy. Timely detection and periodic ulcer monitoring can considerably decrease amputation rates. Recent research has demonstrated that computer vision can be used to identify foot ulcers and perform non-contact telemetry by using ulcer and tissue area segmentation. However, the applications are limited to controlled lighting conditions, and expert knowledge is required for dataset annotation. This paper reviews the latest publications on the use of artificial intelligence for ulcer area detection and segmentation. The PRISMA methodology was used to search for and select articles, and the selected articles were reviewed to collect quantitative and qualitative data. Qualitative data were used to describe the methodologies used in individual studies, while quantitative data were used for generalization in terms of dataset preparation and feature extraction. Publicly available datasets were accounted for, and methods for preprocessing, augmentation, and feature extraction were evaluated. It was concluded that public datasets can be used to form a bigger, more diverse datasets, and the prospects of wider image preprocessing and the adoption of augmentation require further research.
Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults
Authors: Xiong Min , Lin Lan , Jin Yue , Kang Wenjie , Wu Shuicai , Sun Shen
Published: March 2023

Machine learning (ML) has transformed neuroimaging research by enabling accurate predictions and feature extraction from large datasets. In this study, we investigate the application of six ML algorithms (Lasso, relevance vector regression, support vector regression, extreme gradient boosting, category boost, and multilayer perceptron) to predict brain age for middle-aged and older adults, which is a crucial area of research in neuroimaging. Despite the plethora of proposed ML models, there is no clear consensus on how to achieve better performance in brain age prediction for this population. Our study stands out by evaluating the impact of both ML algorithms and image modalities on brain age prediction performance using a large cohort of cognitively normal adults aged 44.6 to 82.3 years old (N = 27,842) with six image modalities. We found that the predictive performance of brain age is more reliant on the image modalities used than the ML algorithms employed. Specifically, our study highlights the superior performance of T1-weighted MRI and diffusion-weighted imaging and demonstrates that multi-modality-based brain age prediction significantly enhances performance compared to unimodality. Moreover, we identified Lasso as the most accurate ML algorithm for predicting brain age, achieving the lowest mean absolute error in both single-modality and multi-modality predictions. Additionally, Lasso also ranked highest in a comprehensive evaluation of the relationship between BrainAGE and the five frequently mentioned BrainAGE-related factors. Notably, our study also shows that ensemble learning outperforms Lasso when computational efficiency is not a concern. Overall, our study provides valuable insights into the development of accurate and reliable brain age prediction models for middle-aged and older adults, with significant implications for clinical practice and neuroimaging research. Our findings highlight the importance of image modality selection and emphasize Lasso as a promising ML algorithm for brain age prediction.
Swin-Transformer-Based YOLOv5 for Small-Object Detection in Remote Sensing Images
Authors: Cao Xuan , Zhang Yanwei , Lang Song , Gong Yan
Published: March 2023

This study aimed to address the problems of low detection accuracy and inaccurate positioning of small-object detection in remote sensing images. An improved architecture based on the Swin Transformer and YOLOv5 is proposed. First, Complete-IOU (CIOU) was introduced to improve the K-means clustering algorithm, and then an anchor of appropriate size for the dataset was generated. Second, a modified CSPDarknet53 structure combined with Swin Transformer was proposed to retain sufficient global context information and extract more differentiated features through multi-head self-attention. Regarding the path-aggregation neck, a simple and efficient weighted bidirectional feature pyramid network was proposed for effective cross-scale feature fusion. In addition, extra prediction head and new feature fusion layers were added for small objects. Finally, Coordinate Attention (CA) was introduced to the YOLOv5 network to improve the accuracy of small-object features in remote sensing images. Moreover, the effectiveness of the proposed method was demonstrated by several kinds of experiments on the DOTA (Dataset for Object detection in Aerial images). The mean average precision on the DOTA dataset reached 74.7%. Compared with YOLOv5, the proposed method improved the mean average precision (mAP) by 8.9%, which can achieve a higher accuracy of small-object detection in remote sensing images.
Energy Prediction and Optimization for Smart Homes with Weather Metric-Weight Coefficients
Authors: Mehmood Asif , Lee Kyu-Tae , Kim Do-Hyeun
Published: March 2023

Home appliances are considered to account for a large portion of smart homes’ energy consumption. This is due to the abundant use of IoT devices. Various home appliances, such as heaters, dishwashers, and vacuum cleaners, are used every day. It is thought that proper control of these home appliances can reduce significant amounts of energy use. For this purpose, optimization techniques focusing mainly on energy reduction are used. Current optimization techniques somewhat reduce energy use but overlook user convenience, which was the main goal of introducing home appliances. Therefore, there is a need for an optimization method that effectively addresses the trade-off between energy saving and user convenience. Current optimization techniques should include weather metrics other than temperature and humidity to effectively optimize the energy cost of controlling the desired indoor setting of a smart home for the user. This research work involves an optimization technique that addresses the trade-off between energy saving and user convenience, including the use of air pressure, dew point, and wind speed. To test the optimization, a hybrid approach utilizing GWO and PSO was modeled. This work involved enabling proactive energy optimization using appliance energy prediction. An LSTM model was designed to test the appliances’ energy predictions. Through predictions and optimized control, smart home appliances could be proactively and effectively controlled. First, we evaluated the RMSE score of the predictive model and found that the proposed model results in low RMSE values. Second, we conducted several simulations and found the proposed optimization results to provide energy cost savings used in appliance control to regulate the desired indoor setting of the smart home. Energy cost reduction goals using the optimization strategies were evaluated for seasonal and monthly patterns of data for result verification. Hence, the proposed work is considered a better candidate solution for proactively optimizing the energy of smart homes.
A Meta-Learning Approach for Few-Shot Face Forgery Segmentation and Classification
Authors: Lin Yih-Kai , Yen Ting-Yu
Published: March 2023

The technology for detecting forged images is good at detecting known forgery methods. It trains neural networks using many original and corresponding forged images created with known methods. However, when encountering unseen forgery methods, the technology performs poorly. Recently, one suggested approach to tackle this problem is to use a hand-crafted generator of forged images to create a range of fake images, which can then be used to train the neural network. However, the aforementioned method has limited detection performance when encountering unseen forging techniques that the hand-craft generator has not accounted for. To overcome the limitations of existing methods, in this paper, we adopt a meta-learning approach to develop a highly adaptive detector for identifying new forging techniques. The proposed method trains a forged image detector using meta-learning techniques, making it possible to fine-tune the detector with only a few new forged samples. The proposed method inputs a small number of the forged images to the detector and enables the detector to adjust its weights based on the statistical features of the input forged images, allowing the detection of forged images with similar characteristics. The proposed method achieves significant improvement in detecting forgery methods, with IoU improvements ranging from 35.4% to 127.2% and AUC improvements ranging from 2.0% to 48.9%, depending on the forgery method. These results show that the proposed method significantly improves detection performance with only a small number of samples and demonstrates better performance compared to current state-of-the-art methods in most scenarios.
Development of Laser Processing Carbon-Fiber-Reinforced Plastic
Authors: Wang Zhonghe , Ma Yao , Yuan Boshi , Wu Chunting , Li Changqing , Sun Shuwei
Published: March 2023

Due to its exceptional advantages, such as high specific strength, high specific modulus, and good fatigue resistance, carbon-fiber-reinforced plastic (CFRP) is frequently utilized in aerospace, aviation, automotive, rail transportation, and other areas. Composite components typically need to be joined and integrated. In the equipment manufacturing industry, the most used methods for processing composite components are cutting, drilling, and surface treatment. The quality of CFRP is significantly impacted by traditional mechanical processing, causing flaws like delamination, burrs, and tears. Laser processing technology has emerged as a crucial method for processing CFRP for its high quality, non-contact, simple control, and automation features. The most recent research on the laser processing of CFRP is presented in this paper, supporting scientists and engineers who work in the field in using this unconventional manufacturing technique. This paper gives a general overview of the key features of laser processing technology and the numerous machining techniques available. The concepts and benefits of laser processing technology are discussed in terms of the material properties, mode of operation, and laser characteristics, as well as the methods to achieve high efficiency, low damage, and high precision. This paper reviews the research development of laser processing of carbon-fiber-reinforced plastics, and a summary of the factors affecting the quality of CFRP laser processing. Therefore, the research content of this article can be used as a theoretical basis for reducing thermal damage and improving the processing quality of laser-processed composite materials, while, on this basis, we analyze the development trend of CFRP laser processing technology.
Vehicle Localization in 3D World Coordinates Using Single Camera at Traffic Intersection
Authors: Li Shenglin , Yoon Hwan-Sik
Published: March 2023

Optimizing traffic control systems at traffic intersections can reduce the network-wide fuel consumption, as well as emissions of conventional fuel-powered vehicles. While traffic signals have been controlled based on predetermined schedules, various adaptive signal control systems have recently been developed using advanced sensors such as cameras, radars, and LiDARs. Among these sensors, cameras can provide a cost-effective way to determine the number, location, type, and speed of the vehicles for better-informed decision-making at traffic intersections. In this research, a new approach for accurately determining vehicle locations near traffic intersections using a single camera is presented. For that purpose, a well-known object detection algorithm called YOLO is used to determine vehicle locations in video images captured by a traffic camera. YOLO draws a bounding box around each detected vehicle, and the vehicle location in the image coordinates is converted to the world coordinates using camera calibration data. During this process, a significant error between the center of a vehicle’s bounding box and the real center of the vehicle in the world coordinates is generated due to the angled view of the vehicles by a camera installed on a traffic light pole. As a means of mitigating this vehicle localization error, two different types of regression models are trained and applied to the centers of the bounding boxes of the camera-detected vehicles. The accuracy of the proposed approach is validated using both static camera images and live-streamed traffic video. Based on the improved vehicle localization, it is expected that more accurate traffic signal control can be made to improve the overall network-wide energy efficiency and traffic flow at traffic intersections.
An Improved In-Motion Coarse Alignment Method for SINS/GPS Integration with Initial Velocity Error Suppression
Authors: Wang Yukun , Ning Xiuli , Xu Xiang
Published: March 2023

The integrated system with the strapdown inertial navigation system (SINS) and the global positioning system (GPS) is the most popular navigation mode. It has been used in many navigation fields. Before the integrated system works properly, it must determine the initial attitude for SINS. In SINS/GPS-integrated systems, the navigational velocity can be used to carry out the initial alignment when the system is installed in the in-motion vehicle. However, the initial velocity errors are not considered in the current popular in-motion alignment methods for SINS/GPS integration. It is well-known that the initial velocity errors must exist when the initial velocity is obtained from the GPS outputs. In this paper, an improved method was proposed to solve this problem. By analyzing the original observation vectors in the in-motion coarse alignment method, an average operation was used to construct the intermediate vectors, and the new observation vector can be calculated by subtracting the intermediate vector from the original observation vector. Then, the initial velocity errors can be eliminated from the newly constructed observation vector. Thus, the interferences of the initial velocity errors for the initial alignment process can be suppressed. The simulation and field tests are designed to verify the performance of the proposed method. The tests results showed that the proposed method can obtain the higher accurate results than the current methods when the initial velocity is considered. Additionally, the results of the proposed method were similar to the current methods when the initial velocity errors were not considered. This shows that the initial velocity errors were eliminated effectively by the proposed method, and the alignment accuracy were not decreased.
T-ray Wavelength Decoupled Imaging and Profile Mapping of a Whole Wafer for Die Sorting and Analysis
Authors: Rahman Anis
Published: March 2023

This paper describes a terahertz (T-ray) cameraless imaging and profile mapping technique for accomplishing the imaging and/or mapping of a whole wafer with fabricated dies for devising a criterion to sort out good dies. A stratagem for decoupling the wavelength’s dependence on image formation is described, whereby the Abbe diffraction limit is overcome, and a high-resolution image is generated by a larger wavelength T-ray. The mechanics of cameraless image formation is discussed. A 200 mm diameter patterned wafer’s image details have been presented from which die-to-die inconsistencies were investigated. A profile of a row of dies was formed from the scanned intensity and compared with the profiles obtained from the graphical analysis of the image of the same dies. It is demonstrated that a criterion could be established either from the scanned profile or from the profile generated from the graphical analysis of the image. A known good die’s profile could be used as a reference to compare with the other dies’ profiles on the same wafer. Such a criterion could be used to sort the good from bad dies. The technique is extended to a whole wafer populated with die patterns via the profile mapping of the entire wafer. The profile mapping of the whole wafer could be used to compare and sort all wafers from the same batch. The Fab yield is improved by maximizing the count of good dies by applying the efficient sorting criterion.
Industry of health and happiness in Manfred Lütz's thought
Authors: Jeličić Ana
Published: March 2023

Manfred Lütz, a psychiatrist and theologian, speak about one of the key problems of modern society, and that is the relationship of contemporary man toward health. M. Lütz primarily addresses his message to a healthy people who tends to divinize health as supreme value. Health is turning into religion and such sacralisation of health care is accompanied by complete commercialization of the health care system. This process is facilitated by the glorification of health, medical science, physicians, and achievements in pharmacal industry. With his theses, he revitalizes the ancient Greek belief that excessive care for health is also a kind of sickness. Similar thought regarding health and illness we found in Works od I. Illich, H.-G. Gadamer, Z. Bauman and others.
Pengembangan Sumber Belajar Geografi Berbasis Weblog Pada Pokok Bahasan Biosfer Di SMA
Authors: Artawan I kadek Budi , Yusuf Daud , Mohamad Nurdin
Published: March 2023

This study aims to determine the development of Weblog-based learning media on the subject matter of the biosphere. Weblog is an online-based application service that can be used to create learning media related to biosphere material. This research uses a development research method with the ADDIE model which was first developed by Raiser and Mollenda which was used as an approach in compiling learning media. Data collection techniques through observation, interviews, questionnaires and documentation. The instruments used are in the form of assessment criteria to determine the feasibility of media from material experts, media experts, and geography teachers as well as student responses to learning media using questionnaires. Data was collected in the form of research results on the quality of learning media and suggestions for product revision. The results of the material expert validation show that the media validation value given by validator 1 or material / content expert with valid category is 86.15%, validator II or product design expert gives a very valid assessment of 87.77%, then for validator III or in this case geography teacher subject experts give a very valid category assessment of 98%. The average response from students to this learning medium was 85.5%. Thus Weblog-based learning media on biosphere material can be used as a learning medium in schools and get a very good response by students.
BUSPERAK: Menilik Kebaharuan Kurikulum Merdeka Melalui Pengembangan Bahan Ajar
Authors: Muzaki Alfian Nur , Mutia Tuti
Published: March 2023

The independent curriculum emphasizes literacy skills, including critical thinking and communicative skills as outlined in the teaching materials. The advantages of busperak teaching materials are QR codes, internet searches, and reinforcement of material for each chapter. The aim of this research is alternative high school level textbooks for grade XI because there are still few textbooks that adopt the independent curriculum. Research and development using ADDIE models the reseach methodology to produce busperak. The research instrument used validity sheets and questionnaires. The method of data analysis applies a descriptive percentage. Descriptive percentage technique is the process of converting quantitative data into qualitative data by analyzing the level of validity Implications showed that the media validity results scored 4.6, the material validity test scored 4.8 and the language validity test scored 4.6. Thus, the results of busperak validation obtained a validity level of 90% having an excellent category. Even while the small groups find trial show a percentage of 82% in media test, the material validity test gets a percentage of 79%, and the language validity test gets a percentage of 74%. So, total average result of the busperak product trial has a percentage of 78.333%. Thus, the busperak is categorized as good and suitable and can be applied at school.
USO DE FRUCTOSA Y PLANTAS CON FLORES PARA FOMENTAR EL CONTROL BIOLÓGICO DE Plutella xylostella
Authors: Cid-Aguilar San Marino , Lomelí-Flores J. Refugio , Rodríguez-Leyva Esteban , Tamayo-Mejía Fernando
Published: March 2023

El acceso a una fuente de carbohidratos se considera indispensable para que los parasitoides manifiesten su potencial reproductivo en campo. En agroecosistemas comerciales, las fuentes de carbohidratos están limitadas durante periodos diferentes del ciclo de cultivo, por lo que esos recursos deberían incorporarse para favorecer la presencia, permanencia y actividad de parasitoides. El objetivo del estudio presente fue evaluar diferentes suplementos y la planta Lobularia maritima (Linnaeus, 1753) Desv. (Brassicaceae) como fuente de alimento de Diadegma insulare (Cresson, 1865) (Hymenoptera: Ichneumonidae) en laboratorio y campo. En laboratorio, los carbohidratos incrementaron la probabilidad de supervivencia de D. insulare (X26= 793, P ≤ 0.0001), en comparación con las proteínas y el testigo (agua); con fructosa, el 75 % de los individuos sobrevivieron por más de 22 días, mientras que con agua o proteínas el 100 % de los individuos murió antes del sexto día. En campo, el nivel de parasitismo en lotes donde se aplicó fructosa fue casi el doble (82 %) en comparación con el testigo (42 %), se registraron diferencias significativas en la cantidad total de parasitoides emergidos (F5,24 = 3.35, P = 0.0194). Los resultados sugieren alto potencial en el uso de suplementos alimenticios en programas de control biológico de P. xylostella.
K otázce redistribučních center štípané industrie kultury s lineární keramikou
Authors: Oliva Martin
Published: March 2023

Všechny osady lidu LnK v poněkud marginálním regionu Oderské brány se vyznačují rozvinutou výrobou štípané industrie. Ta je vyrobena hlavně ze silicitu z krakovsko-čenstochovské jury, jehož zdroje jsou vzdáleny asi 150 km. Téměř na třetině artefaktů lze přesto zjistit zbytky kůry, úštěpy převládají nad čepelemi a jádra jsou stejně početná jako retušované nástroje. Vzhledem ke značné vzdálenosti od zdroje bývají stanoviště s takovou skladbou industrie považovány za sekundární výrobní centra. V diskusi je poukázáno na to, že zbytky kůry mohou být na artefaktech ponechávány záměrně, protože svědčí o jeho původu (geografickém, ale třeba i podzemním). Intenzita a způsob práce se silicity je kromě vzdálenosti od zdroje určována řadou dalších faktorů, jako je např. relaxace nebo soutěživost mezi štípači. Obliba této činnosti v odlehlé hornooderské enklávě LnK, s doklady rybolovu, může souviset i s mezolitickými tradicemi. Druhotná výrobní centra mohla vzniknout jen jako důsledek zvýšené poptávky po štípané industrii, a ta byla právě na sídlištích LnK často velmi nízká.
K nejdůležitějším aspektům architektury, hmotné kultury a k významu halštatského hradiště v Minicích (Kralupy nad Vltavou, okr. Mělník)
Authors: Trefný Martin , Slabina Miloslav
Published: March 2023

Příspěvek se zabývá dílčími problémy halštatského hradiště v Minicích u Kralup nad Vltavou, které bylo zkoumáno v letech 1970–1989. Soustředí se zejména na archeologické situace či nálezy, které mají nadregionální význam. Přináší nové pohledy na rekonstrukci a původ kamenných staveb na akropoli a prezentuje další neobvyklé nálezy a situace související s architekturou hradiště. Soustředí se rovněž na významné nálezy movité hmotné kultury, dokládající interregionální dálkové kontakty s oblastí Karpatské kotliny či západního Středomoří, a informuje o lokální produkci zejména keramiky či kostěné industrie. Pozornost je rovněž věnována funkci hradiště z hlediska regionální sídelní sítě a jeho roli jako jednoho z tzv. centrálních míst-regionálních mocenských center.
Parental Obesity: The Pandemic of Intergenerational Physical and Mental Health Carnage
Authors: Myers-Morrison Cynthia
Published: March 2023

A review of the maternal and paternal impact of obesity at conception on the subsequent health of the offspring paints a nightmarish future in terms of suffering and out-of-control healthcare spending. Consequences of parental obesity on the offspring include obesity, type 2 diabetes, cardiovascular disease, chronic kidney disease, stroke, and premature death. Children of obese women tend to have high blood pressure, left ventricular thickening, increased abdominal fat mass, hyperlipidemia with reduced high-density lipoprotein levels, increased aortic root diameter, insulin resistance, and elevated inflammatory markers, which culminate in a threefold greater risk of cardiometabolic complications than in children of normal-weight mothers. Babies are at greater risk of developing asthma, autism spectrum disorder, attention deficit hyperactivity disorder, cognitive delays, inflammation, cerebral palsy, epilepsy, and the chronic diseases of obesity (such as insulin resistance, high blood pressure, atherosclerosis, cardiovascular disease, stroke, some cancers, including breast, endometrial, and colon cancer, gall bladder disease, polycystic ovarian syndrome, musculoskeletal problems such  as osteoarthritis and back pain, gout, cataracts, stress incontinence, and sleep apnea), as well as psychiatric disorders including substance abuse. All parents desire healthy babies, as does society, to avoid the health costs and consequences of our obesity pandemic, but significant personal, societal, public policy, economic, and marketplace interventions will be necessary to avert further devastating impacts. We need to publicize the intergenerational harm caused by obesity, offer support to individuals to help change eating habits and produce a healthier food chain for the nation. Interventions fashioned after the twelve-step program of Alcoholics Anonymous and the adoption of a low carbohydrate abstinence model have proven effective. The time has come to spread the research findings concerning obesity and intergenerational obesity. that are long-accepted by the scientific community but still not recognized by the public at large so that another generation is not impacted by lifestyles that have continuously worsened since the 1970s.
Il complesso termale Tettuccio a Montecatini Terme. Un patrimonio da svelare
Authors: Matracchi Pietro , Prandin Alessio
Published: March 2023

Montecatini Terme, emblematic city for the close combination between thermal baths and urban structure, has been recently enrolled in the list of the Unesco Heritage. It becames particularly urgent to deepen the knowledge, in an appropriate way, of the building ensemble that can be considered the key features in the enrollement, for the purposes of their protection and safeguard. Among these, the Tettuccio bath assumes a particular relevance with regard to the complex architectural articulation, the richness of the decorative characteristics and the variety of the materials used. For this purpose, a laser scanner survey combined with photogrammetry was carried out, thus obtaining a high level of instrumental data, integrated by accurate in-place information. This approach highlighted the materials, traditional and modern, and the decay of the building, founded by the grand duke Pietro Leopoldo and almost completely refashioned about a century ago.
UNESCO World Heritage Sites in China’s cultural diplomacy: Fostering mutual understanding along the Silk Roads
Authors: Tullio Martina , Sampaolo Gianluca
Published: March 2023

The adoption of the World Heritage Convention (WHC) in 1972 was the response to a world asking for peace after the destruction caused by the two world conflicts, particularly to cultural heritage (CH). UNESCO World Heritage Sites (WHS) act as enablers in establishing strong and effective relationships among countries, people, culture and history, while influencing and attracting these elements to promote a positive national image and fostering mutual understanding, which is the main objective of cultural diplomacy (CD). This holds true also for China and this institutes the need to investigate on how UNESCO World Heritage acts as a strategic asset in Chinese CD. This paper will provide an empirical framework addressing the position of WHS embedded in the Chinese CD. Discussion on the growing Chinese involvement of WHS in cultural projects fostering international relations and considerations on the potential impact and future development of this phenomenon with regards to China and the WHC are offered.
السُّلّم الحجاجيفيكتابِ الإِمام عليّ() لمالك الأَشتر لمّا ولاّه مصر
Authors: حمد رجاء محسن
Published: March 2023

الحجاج خطاب لساني تداولي , يعتمد الحجة المنطقية لإقناع الآخرين والتّأثير فيهم بما يعرض عليهم من أطروحات , فهو تفاعل بين طرفي الخطاب , لا يكتفي فيه المرسل بالإخبار فحسب بل يقصد توجيه المحاجَج وجهة معينة في موقف محدد وعليه ركزت التّداولية على علاقات الاتساق والأدوات اللسانية المحققة له .كل الظّروف المحيطة بالخطاب يمكن للمتكلم أن يستثمرها في صورة حجج تقود الى النّتيجة التي يريد إيصالها للمتلقي , وهذه الحجج  لا تتعدد فحسب بل إنها تتفاوت في القيمة الحجاجية أيّ في قوتها الدّلالية والتّأثيرية في التّوجه الخطابي للقصد الذي يروم المتكلم الوصول إليه , وأن تعدد الحجج غير المتساوية في الطّاقة التي تؤهلها للوصول الى النّتيجة هو الذي استدعى نظرية السّلم الحجاجي فكانت ظاهرة مميزة استعان بها الإمام علي (B) للتأثير والإقناع وإيصال المقاصد الحجاجيةالتي يريدها في تعاطيه مع قضايا عصره , لدرايته العالية بالخطاب ودواعيه , فكان اختيار هذه المدونة لتكون حقلا لهذه الدّراسة الموسومة ( السّلم الحجاجي في كتاب الإمام عليّ(B) لمالك الأشتر لما ولاّه مصر )
سورة «الانشقاق»دراسة أسلوبية
Authors: حیدری محمود , سليمي عاطفة
Published: March 2023

الأسلوبية منهج نقدي لاتنحصر في الشكل ولا في المضمون، بل تتمحور في كليهما، فهي طريق مثاليلفهم المعاني والكشف عن الجمالية في النصوص. ولا شك أنَّ التعبير القرآني يجذب الإنسان ويؤثر في الفكر والروح ويشمل أسرارا وجماليات وصورا فنية تدلّ علي الفصاحة في لغته والعلوّ في معانيه. تسعي هذه الدراسة اليتطبيق الأسلوبية منهجا نقدياعلي سورة الانشقاق، متناولاً المستوي الصوتي والتركيبي والدلالي لكي تكشف العلاقات اللغوية وجمالية التعبير في هذه السورة.ومن النتائج التي توصَّلت اليها دراسةُ المستوي الصوتي هي أنّ التناسق يكون بين الألفاظ والأصوات وقد أسهم التكرار في تأدية المعني والإشارة الي كثرة الرحمة ويناسب الصوت بالمعني. دراسة المستوي التركيبي تدلّ علي أنّ نسبة الجمل الخبرية أكثر من الإنشائية ونسبة الأفعال الماضية أكثر من المضارع والأمر وهذه تدلّ علي أنَّ وقوع القيامة أمر مقضيّ لاشك فيها وأنّ أسلوب الإلتفات من الخطاب الي الغيبة للتنبيه والتهديد. أما علي صعيد المستوي الدلالي فقد ظهرت علاقات دلالية في السورة منها؛ الاستعارة والكناية والمشترك اللفظي.
Synthesis and study biological activity of some 1,8- Naphthyriane Derivatives
Authors: Jaffar Alkabee Hanaa , Mohammad Joad Israa
Published: March 2023

The compound 4-carboxy -2-phenyl-1,8- naphthyridine was synthesized from pyruvic acid, 2-Aminopyridine and Benzaldchyde (I).4-Hydrocynoamine-2-phenyl-1,8- Naphthyridine synthhesized from 4-Carboxy-2-phenyl-1.8-naphthyridine and phosphor penta chloride anhydrous in carbon tetra chloride, the resultant derivative was then separated by crushed ice and filtrated, the solid acid chloride thus obtained was used for further reaction. to the solid which was form was added hydrazine hydrate (II).4(p-phenyl dimethyl aminc) -hydrazine)-1,8-Naphthyridine (III) was synthesized from refluxed equimolar quantities of (II) with p.Dimethylamino- Benzaldephyde in ethanol. The purity of the synthesized compounds were established through R spectroscopy. and the purity were confirmed by TLC. the physical properties such as melting point and percentage were determined. The antibacterial activity of synthesized compounds (I, II, III) were tested by using agar diffusion method against some bacterial species, the compounds exhibit highest antibacterial activity specially compound III, also the Minimal inhibitory concentration (MIC) of tested compounds  (I, II, III) were determined, the results showed that MIC values ranged (5-20) μg/ml for all bacterial species in this study,  Pseudomsonas aerogenosa, Escherichia coli,Proteus sp, Staphylococcus aureus, Klebsiella sp., Sallmonella sp. ,Streptococcus sp.
Evaluation trace minerals and oxidative status in follicular fluid for unexplained infertile female undergoing Intra-cytoplasmic sperm injection program.
Authors: Sattar jabbar Hiba , Yahya AL- Murshedi Sahib
Published: March 2023

Objective: To evaluate the level of zinc and 8-OHdg in follicular fluid and determine the correlation of both with Intracytoplasmic sperm injection outcome.Aim: The aim of this study is. To evaluate the Level of zinc and oxidative stress biomarker 8-OHdg in follicular fluid for unexplained female and compare with male factor. Study the correlation between zinc and 8-OHdg with ICSI outcome. Material and method: eighty eight subfertile couples were involved in this study. They divided into two groups. First group male factor and second group unexplained female factor. Both were interred in ICSI program. Result: The study showed that the mean follicular fluid level of zinc in pregnant group (17.47) and non-pregnant group (16.62). However, not different level of zinc in follicular fluid in both group unexplained female factor and male factor (16.66) and (16.97), respectively. The level of zinc significantly with No. of the oocyte (p=0.004), MII (p=0.033), No. of 2PN (p=0.035), Fertilization rate (p=0.001), Embryo G1 (p=0.044) and Embryo G2 (p=0.026). No significant statistical difference between level of 8- OHdg in follicular fluid in two groups regarding the cause of infertility unexplained female factor and male factor mean (2.20) and (2.25), respectively. But significant with pregnant status in pregnant group mean (1.37) and non pregnant group mean (2.54). The level of 8-OHdg non-significantly with ICSIoutcome. Conclusion: zinc level is statically significant and positively correlated with ICSI outcome, as the number of oocytes, mature oocyte (MII), fertilized oocytes 2PN, fertility rate, embryo G1 and embryo G2.The level of 8-OHdg in follicular fluid statically non- significant with ICSI outcome and not found a correlation between zinc and 8-OHdg.
The Application of International Human Rights and Humanitarian Law to the Current Las'anod Conflict
Authors: Muse Zakarie Yusuf
Published: March 2023

In the last days of January 2023, an armed conflict has broken out between the Somaliland government and the local population in the city of Las’Anod, the administrative capital of Sool region of Somalia. Serious acts of violence jeopardizing well-being and lives of people living there have been widely reported by media. This Article focuses and explains how international law protects life, property and human dignity in such critical situations. It presents the applicable human right standards as well as rules of war that must be observed during an armed conflict. Finally, the Article addresses possibility of classifying the situation as violations of international humanitarian law.