bluuebunny/crossref_metadata_2025 huggingface dataset:
The Medieval Life of Language
Authors: Amsler Mark
Published: March 2024

The Medieval Life of Language: Grammar and Pragmatics from Bacon to Kempe explores the complex history of medieval pragmatic theory and ideas and metapragmatic awareness across social discourses. Pragmatic thinking about language and communication is revealed in grammar, semiotics, philosophy, and literature. Part historical reconstruction, part social history, part language theory, Amsler supplements the usual materials for the history of medieval linguistics and discusses the pragmatic implications of grammatical treatises on the interjection, Bacon’s sign theory, logic texts, Chaucer’s poetry, inquisitors’ accounts of heretic speech, and life-writing by William Thorpe and Margery Kempe. Medieval and contemporary pragmatic theory are contrasted in terms of their philosophical and linguistic orientations. Aspects of medieval pragmatic theory and practice, especially polysemy, equivocation, affective speech, and recontextualization, show how pragmatic discourse
informed social controversies and attitudes toward sincere, vague, and heretical speech. Relying on Bakhtinian dialogism, critical discourse analysis, and conversation analysis, Amsler situates a key period in the history of linguistics within broader social and discursive fields of practice.
Evaluation of the effectiveness of canine assisted therapy as a complementary method of rehabilitation in disabled children
Authors: Grabowska Iwona , Ostrowska Bożena
Published: March 2024

Introduction

The aim of the study was to evaluate the effectiveness of canine assisted therapy as a complementary method of rehabilitation in children with developmental disabilities.

Methods

Overall, 39 children with a disability, of both sexes, aged 4–9 years took part in the study. The diagnostic survey was used as a method, the research tool was a survey that consisted of 23 questions. The survey was to be filled in by the parents.

Results

Canine assisted therapy turned out the most effective one in attention-focussing (94%), developing mobility (92%) and motor function (90%), improving downtime (92%), achieving balance and coordination (84%), and finding a way to show affection (83%). Therapeutic benefits were also observed in the children’s emotional and social sphere.

Conclusions

Canine assisted therapy has a major impact on improving balance, coordination, and motor skills. The closeness of the animal makes children quiet and relaxed. Canine assisted therapy contributes to the reduction of aggressive behaviour and increases awareness. It is an effective and recommendable complementary method of rehabilitation for children with intellectual and motor disorders.
Strategi Guru Pendidikan Agama Islam Dalam Mengatasi Demoralisasi Peserta Didik
Authors: Rahmat Hasan As’ari,
Published: March 2024

Masalah kenakalan siswa dalam dunia pendidikan sudah menjadi hal yang tidak asing lagi untuk didengar. Kenakalan-kenakalan yang dilakukan oleh siswa terkadang bertentangan dengan norma-norma hukum yang berlaku di masyarakat. Berangkat dari latar belakang itulah peneliti kemudian ingin membahasnya dalam tesis ini dan mengambil judul Strategi Guru Pendidikan Agama Islam Untuk Mengatasi Demoralisasi Peserta Didik di SMA Negeri 1 Pacet Mojokerto. Tujuan penelitian ini untuk mendeskripsikan dan menganalisa terkait Bagaimana pelaksanaan strategi guru pendidikan agama Islam untuk mengatasi demoralisasi pada peserta didik di SMA Negeri 1 Pacet Mojokerto, kemudian faktor pendukung dan penghambat pelaksanaan strategi guru pendidikan agama Islam dalam mengatasi demoralisasi pada peserta didik di SMA Negeri 1 Pacet Mojokerto. Penelitian ini menggunakan jenis penelitian kualitatif dengan pendekatan studi kasus. Lokasi penelitian di SMA Negeri 1 Pacet Mojokerto. Teknik pengumpulan data yang digunakan adalah menggunakan observasi, wawancara, dan dokumentasi. Metode analisis menggunakan metode miles dan huberman. Pengecekan keabsahan data dengan menggunakan triangulasi.

Adapun temuan penelitian ini adalah: 1) Pelaksanaan strategi guru pendidikan agama Islam untuk mengatasi demoralisasi pada peserta didik di SMA Negeri 1 Pacet Mojokerto, strategi yang dilakukan ada 3 yakni a). Strategi Preventif, (Mengaktifkan kegiatan keagamaan seperti salat zuhur, sholat dhuha berjamaah, salat jumat bagi laik-laki, serta mengaji di masjid). b) Strategi Represif, (Memberikan bimbingan dan nasehat, menegakkan disiplin sekolah, memberlakukan sanksi). c) Strategi Kuratif (Melakukakan pembinaan khusus, dan memberikan skorsing 2) Faktor penghambat dan pendukung pelaksanaan strategi guru pendidikan agama Islam dalam mengatasi demoralisasi pada peserta didik di SMA Negeri 1 Pacet Mojokerto, a) Faktor penghambat yaitu (1) faktor internal (Seperti kurangnya pemahaman agama dan kesadaran siswa, (2) faktor eksternal (Seperti pengaruh lingkungan dan pergaulan bebas, serta lingkungan keluarga). b) Faktor pendukung yaitu (1) Pelatihan dan Pengetahuan, (2) Program Bimbingan dan Konseling, (3) Membangun Hubungan Positif dengan Siswa, (4) Fasilitas Sekolah yang cukup memadai.
Visual Questioner using Bert Transformer
Authors: P Dr.Visu , Narayanan K Surya , Ahmed A Syed Nafeez , S Aravind Kumar
Published: March 2024

The Visual Questioner, an innovative machine learning endeavor, represents a cutting-edge project designed to process images and facilitate user interaction through AI-generated responses to inquiries. Focused on the fusion of visual recognition and natural language understanding, the overarching objective of this project is to cultivate a robust model capable of discerning intricate details within an image and, subsequently, formulating coherent textual responses to user-generated questions. At the core of the Visual Questioner lies the imperative to bridge the semantic gap between visual content and linguistic expression, enhancing the depth of comprehension and interaction within the artificial intelligence paradigm. By harnessing advanced algorithms and neural network architectures, this initiative aspires to elevate the sophistication of image-based question-answering systems, presenting a pivotal advancement in the realm of human-machine communication. This research not only delves into the technical intricacies of image understanding but also underscores the imperative role of natural language generation, thereby contributing substantively to the evolving landscape of AI applications. As we navigate through the complexities of this project, its potential implications span diverse domains, ranging from human-computer interaction to autonomous systems and beyond, underscoring the multifaceted significance of the Visual Questioner in contemporary artificial intelligence research.
Violence Detection using Deep Learning
Authors: Rajasuganya Mrs.P.V. , M.K Mr.Sabarivasan , S Mr.Tharun Eshwar
Published: March 2024

In an era where technological advancements are reshaping various aspects of society, crime prevention and public safety have emerged as critical areas of concern.This project proposes a novel approach to crime analytics by harnessing the power of live footage and deep learning technologies.The invention of Crime Analytics Using Live Footage represents a groundbreaking advancement in the field of crime prevention and law enforcement. This technology harnesses the power of real-time video analysis, predictive analytics, and data-driven decision-making to proactively detect and prevent criminal activities, ensuring public safety and enhancing the efficiency of law enforcement efforts.The system's core functionality lies in its ability to analyze live video footage from a network of surveillance cameras, leveraging advanced computer vision algorithms and machine learning techniques. This real-time analysis enables the immediate identification of potential threats, suspicious behavior, and emerging criminal activities within monitored areas.
The Role of Organic Agriculture in Poverty Alleviation in Southern Philippines
Authors: Castillo Colt Ian U. Del
Published: March 2024

This paper examines the impact of organic agriculture towards poverty alleviation among farmers in Sarangani Province, a southern province of the Philippines. In the Philippines, agriculture sector accounts the highest poverty incidences particularly on farmers and fisher folk. Using a qualitative case study design, the realities on the ground are drawn from insights of organic farmers using key informant interviews and focus group discussions. Interestingly, organic agriculture shows potential for poverty alleviation as it addresses fundamental problems among farmers such as food availability, sufficient nutrition, and source of daily income. Food security for the locality through organic farming remains a challenge as surplus production is met by intensive labor requirements for organic farming especially for rice and corn. This paper argues that organic agriculture potentials for poverty alleviation can be maximized when equipment, transfer of technology, and entrepreneurial/marketing components are further extended to the farmers as part state intervention. While relationship with the civil society and the industry can be improved to increase the income potential of organic farmers.
Green Banking: Awareness of Customers in Environmental Protection
Authors: M.Yasmin Dr. , Ahamed Dr. Fayaz
Published: March 2024

the main problems across the world to-day are environmental changes and protection and management of natural resources. Environmental change causes a number of interconnected environmental problems, including deforestation, poor air quality, climate change, and biodiversity loss. Climate change is the most complex of the aforementioned issues. Efforts are being made around the world to quantify and reduce the risks of environmental change. Numerous nations across the globe have pledged to lessen the effects of climate change. It is the responsibility of each and every one of us to work in this direction in order to minimize climate change. Every organization across the world is highly interested to make their business as green to face climate change and contribute towards sustainable development. By taking on the role of advocates for sustainability, banks may play a vital role in preserving sustainability. The corporate community's traditional bottom line approach of profit is sometimes replaced with a triple bottom line approach, which emphasizes the three Ps: people, planet, and profit, as a result of sustainable development. The present study aims to study Green Banking in depth and awareness of the clients regarding green banking concept adopted in Tiruchirappalli City. In terms of development, SBI is a model for all the steps a bank may take to overcome the problems brought up by green banking.
Test Of The Effectiveness Of Giving Aloe Vera Extract In Reducing Cholesterol In Male Wistar Rats (Rattus Norvegicus) With Hypercholesterolemia
Authors: Gustian Henni , Million Hendy , Rajagukguk Horas
Published: March 2024

Obesity prevention can be done with diet and exercise. Since plasma cholesterol levels are associated with diabetes, public interest in diabetes treatment in foods and herbal medicines has increased dramatically. This research wants to confirm and maximize topical plant treatment and diabetes medication benefits. This study employs a lab experiment. Aloe vera was examined for cholesterol-lowering capacity in hypercholesterolemic male Wistar rats (Rattus Norwegian) utilizing a pre-test-post-test control group. Aloe vera extract (Aloe vera) reduces cholesterol, body weight, and LDL in hypercholesterolemia-afflicted male Wistar white rats (Rattus norvegicus). One-way ANOVA test results show a significant value of 0.000 or less than 0.05. These statistics show a substantial difference between the control and treatment groups. This study's Post Hoc LSD test analysis indicated significance values of 0.000 and 0.018 or less than 0.05, indicating that all groups differed. Aloe vera extract reduces LDL significantly, and the group with a concentration of 4.5% reduced LDL levels more than the other groups in Wistar male white rats (Rattus norvegicus) with hypercholesterolemia.
Providing Of Mahkota Dewa Fruit Extract (Phaleria Macrocarpa) To Reduce Malondialdehyde Levels In The Blood Of White Rats (Rattus Norvegicus) Triggered By Excessive Physical Activity
Authors: Agustin Riagara Restoe , Janice Janice , Sihombing Bungaran
Published: March 2024

Anti-inflammatory, antioxidant, and apoptosis-modulating potential are just a few biological activities that have garnered much interest in natural food-derived components during the past two decades. Mahkota Dewa fruit (Phaleria macrocarpa) has several beneficial pharmacological activities. This study investigated whether Mahkota Dewa fruit extract (Phaleria macrocarpa) reduced malondialdehyde levels in blood samples of white rats (Rattus norvegicus) generated by excessive physical activity. The samples for this study were white rats (Rattus norvegicus) weighing 160-200 gr and 2-3 months old. The independent variable was the Mahkota Dewa fruit extract (Phaleria macrocarpa). The dependent variable was excessive physical activity-induced malondialdehyde levels in white rats (Rattus norvegicus). The average Malondialdehyde (MDA) levels show that the group given 5 ml of the Mahkota Dewa fruit extract (Phaleria macrocarpa) had tremendous success in lowering MDA levels compared to the other groups. The results of the observations and data analysis show that administration of the extract can reduce MDA levels significantly in male Wistar rats (Rattus norvegicus) because of too much exercise.
Understanding the Crucial Role of Brand Image in the Students’ Higher Education Institution Choice: A Review of the Literature of Higher Education Branding
Authors: SNADROU Douaa , HAOUCHA Malika
Published: March 2024

This article provides an extensive literature review on the topic of branding in Higher Education, along with an exploration of the numerous aspects that influence students’ choice of a Higher Education Institution (HEI). Within the competitive higher education landscape, branding has evolved into a vital part of HEI identity, image, and competitiveness, with a considerable impact on student decision-making. This review investigates the main concepts associated with branding and brand image in the educational context, beginning with the general branding concept and progressing to branding applied in this particular field, while taking into account the applicability and challenges of its transposition, before delving into the various perspectives of brand image, notably, the rational and emotional dimensions. By bringing together the existing body of knowledge concerning branding in higher education institutions, this article provides a better understanding of the impact of branding on the educational sector while also offering some insight into the appealing nature of the brand image throughout the students’ decision to enroll in a HEI.
Ensuring Academic Succes by Running Intership at Economic Agents, in Rural Areas
Authors: Musat Angelica , ZUGRAVU Constanta Laura , ZUGRAVU Gheorghe Adrian
Published: March 2024

Academic success will always be ensured when the internships will take place at the economic agents in the area where the school is located because the students are more motivated to become future specialists for the companies in the areas where they live.Of course, this academic success will always be ensured with the help of the teacher because the theoretical part is put into practice at the economic agent where the internships take place.Thus, the correlation of the school, economic agent, teacher, student, parents, but also local authorities represents a unit that can ensure success, that is, the training of specialists who can integrate more easily into the labor market.
Kiberműveletek a beavatkozás tilalma mint nemzetközi jogi alapelv tükrében
Authors: Kiss Mátyás
Published: March 2024

Az elmúlt években az ellenséges célú, államközi kiberműveletek száma exponenciálisan nőtt. Felmerül a kérdés, hogy a nemzetközi jog által kidolgozott kereteken belül az államok miként reagálnak az őket ért kiberműveletekre. Ha egy kiberművelet nem éri el az erőszak alkalmazásának szintjét, elsősorban az vizsgálandó, hogy a művelet sérti-e például a beavatkozás tilalmát. Elmondható, hogy napjainkig az államok még egyetlen esetben sem folyamodtak ahhoz, hogy erőszak alkalmazásának vagy fegyveres támadásnak minősítsenek egy kiberműveletet, ez is mutatja tehát azt, hogy nagy jelentőségű e norma vizsgálata. A beavatkozás tilalma a nemzetközi jog egyik kulcsnormája. A tilalom az ENSZ Alapokmányában megjelenő erőszaktilalmi normából és a szuverén egyenlőség elvéből vezethető le, megtalálható az Alapokmány kvázi-autentikus értelmezéseiben is. Fontos megemlíteni a Nicaragua-ügyet, amely elméleti és gyakorlati szinten is foglalkozott a kérdéssel, továbbá azt, hogy az elmúlt időszakban jelentősen megnőtt az állami nyilatkozatok, állásfoglalások száma. A Nicaragua-ügy ítéletében körvonalazódtak azok a feltételek, amelyek vizsgálatával eldönthető, hogy az adott művelet sérti-e a beavatkozás tilalmát. A szakirodalom ezeket a feltételeket elfogadja a kiberműveletekre vonatkozóan is. Az állami nyilatkozatokból pedig kimutatható, hogy az állami gyakorlat nemzetközi jogi szakirodalommal azonos álláspontot képvisel. Amennyiben a sértett államot ért kiberművelet nem éri el a fegyveres támadás szintjét, nem lesz lehetősége az önvédelem jogának alkalmazására. Az államok azonban ebben az esetben sem maradnak eszköztelenek. Egyfelől ellenintézkedést foganatosíthatnak, másfelől szükséghelyzetre hivatkozhatnak. A szakirodalom mellett az állami gyakorlat is egységes a kérdésben.
Diagnostic des systèmes stochastiques
Authors: PROVAN Gregory
Published: March 2024

La prise en compte de l’incertitude est cruciale pour la détection précise des défauts. L'incertitude peut provenir de modèles imprécis ou de mesures bruitées. Une approche standard en deux étapes identifie les défauts par des résidus. Nous proposons un cadre de principes pour classifier les méthodes de diagnostic stochastique et guider leur application. Trois approches principales sont explorées : modèle, données et hybride.
Intelligence artificielle pour la sécurité en e-santé
Authors: AYMEN CHALOUF Mohamed , MEJRI Hana , HAMDI Omessaad
Published: March 2024

La e-santé, une des applications IoT, permet l’amélioration de la vie quotidienne des patients. Elle a été propulsée grâce aux différentes capacités de collecte, analyse, transmission et stockage de données médicales. Dans ce chapitre, nous nous intéressons à l’utilisation des techniques d’intelligence artificielle pour sécuriser une des principales composantes des systèmes e-santé, à savoir le réseau de capteurs médicaux sans fil.
Infrared Radiometric Image Classification and Segmentation of Cloud Structure Using Deep-learning Framework for Ground-based Infrared Thermal Camera Observations
Authors: Sommer Kélian , Kabalan Wassim , Brunet Romain
Published: March 2024

Abstract. Infrared thermal cameras offer reliable means of assessing atmospheric conditions by measuring the downward radiance from the sky, facilitating their usage in cloud monitoring endeavors. Precise identification and detection of clouds in images pose great challenges stemming from the indistinct boundaries inherent to cloud formations. Various methodologies for segmentation have been previously suggested. Most of them rely on color as the distinguishing criterion for cloud identification in the visible spectral domain and thus lack the ability to detect cloud structure on gray-scaled images with satisfying accuracy. In this work, we propose a new complete deep-learning framework to perform image classification and segmentation with Convolutional Neural Networks. We demonstrate the effectiveness of this technique by conducting a series of tests and validations on self-captured infrared sky images. Our findings reveal that the models can effectively differentiate between image types and accurately capture detailed cloud structure information at the pixel level, even when trained with a single binary ground-truth mask per input sample. The classifier model achieves an excellent accuracy of 99 % in image type distinction, while the segmentation model attains a mean pixel accuracy of 94 % on our dataset. We emphasize that our framework exhibits strong viability and can be used for infrared thermal ground-based cloud monitoring operations over extended durations. We expect to take advantage of this framework for astronomical applications by providing cloud cover selection criteria for ground-based photometric observations within the StarDICE experiment.
Applying double-cropping and interactive irrigation in the North China Plain using WRF4.5
Authors: Fan Yuwen , Yang Zhao , Lo Min-Hui , Hur Jina , Im Eun-Soon
Published: March 2024

Abstract. Irrigated cultivation exerts a significant influence on the local climate and the hydrological cycle. The North China Plain (NCP) is known for its intricate agricultural system, marked by expansive cropland, high productivity, compact rotation, a semi-arid climate, and intensive irrigation practices. As a result, there has been considerable attention on the potential impact of this intensive irrigated agriculture on the local climate. However, studying the irrigation impact in this region has been challenging due to the lack of an accurate simulation in crop phenology and irrigation practices within the climate model. By incorporating double-cropping with interactive irrigation, our study extends the capabilities of the Weather Research Forecast-Crop (WRF-Crop) model, which has previously demonstrated commendable performance in simulating single-cropping scenarios. This allows for two-way feedback between irrigated crops and climate, further enabling the inclusion of irrigation feedback from both ground and vegetation perspectives. The improved crop modeling system shows significant enhancement in capturing vegetation and irrigation patterns, which is evidenced by its ability to identify crop stages, estimate field biomass, predict crop yield, and project monthly leaf area index. In the next phase of our research, we plan to employ this integrated crop modeling system under various irrigation scenarios to further enhance our understanding of the intricate relationship between agricultural development and climate change.
A dynamic informed deep learning method for future estimation of laboratory stick-slip
Authors: Yue Enjiang , Qin Mengjiao , Hu Linshu , Wu Sensen , Du Zhenhong
Published: March 2024

Abstract. Fault activities modelling holds vital importance for earthquake monitoring, risk management, and early alert. Studies on laboratory earthquakes are instrumental in the modelling of natural fault ruptures and in enhancing our grasp of natural earthquake dynamics. Recently, deep learning methods have been proven effective in predicting instantaneous fault stress in laboratory settings and slow slip events on Earth. However, these methods have struggled to conduct steady future prediction lacking grasping of the complex dynamics of highly nonlinear laboratory fault slip systems. Addressing this, we introduce the Hankel Koopman Auto-encoder (HKAE), a novel method inspired by dynamical system theories. HKAE performs dynamic modelling of laboratory fault system and provides a continuous estimation of the future state of the system. It has been deployed on experiments with different slip behaviours and shows superior ability to predict shear stress variation during a slip cycle and also slip activities in longer-term seismic cycles. The HKAE model surpasses conventional time series prediction deep learning methods, showing superior statistical evaluation metrics like RMSE and R2 with two prediction horizons. Meanwhile, we find that the HKAE can model the slip dynamics better than purely statistical modelling, as evidenced by its more accurate modelling of the slip timing, slip cycle intervals and its ability to summarize the quasi-periodic dynamics as an operator from a small number of samples to generate more robust beyond-horizon prediction. The capability of HKAE to decompose and model complex temporal dynamics highlights its potential in and sparse-observed geophysical system with quasi-periodic characteristics like natural fault activities.
Multi-robot consensus formation based on virtual spring obstacle avoidance
Authors: Fan Yushuai , Li Xun , Liu Xin , Cheng Shuo , Wang Xiaohua
Published: March 2024

Abstract. A systematic improvement of the multi-robot formation control algorithm has been developed to address multi-robot formation instability. First, a static obstacle avoidance model based on spring force mapping is proposed, followed by an analysis of the influence of static and dynamic obstacles on the processing of multi-robot cooperative motion. Second, a leader is introduced to the formation to save computational costs. Third, the Velocity Obstacle (VO) algorithm is improved to resolve robot collisions during the dynamic mobility process caused by the increased number of multi-robot formations. Simultaneously, the dynamic speed limit function based on the position error for formation keeping is established. Finally, simulation experiments are carried out. Results show that when 5-robot and 20-robot formations were compared in the environment without dynamic conflict, the average value of the position error of 20-robot formations only increased by 39.47 %, and the average value of the path length did not differ significantly. In the dynamic conflict environment, the maximum position error of 20-robot formations increases by 73.03 % and the path length average value increases by 7.69 %. Our proposed method can control the motion of multiple robots in both conflict-free and conflict-filled environments, resulting in an effective motion planning scheme.
Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea
Authors: Bonino Giulia , Galimberti Giuliano , Masina Simona , McAdam Ronan , Clementi Emanuela
Published: March 2024

Abstract. Marine heatwaves (MHWs) have significant social and ecological impacts, necessitating the prediction of these extreme events to prevent and mitigate their negative consequences and provide valuable information to decision-makers about MHW-related risks. In this study, machine learning (ML) techniques are applied to predict sea surface temperature (SST) time series and marine heatwaves in 16 regions of the Mediterranean Sea. ML algorithms, including the random forest (RForest), long short-term memory (LSTM), and convolutional neural network (CNN), are used to create competitive predictive tools for SST. The ML models are designed to forecast SST and MHWs up to 7 d ahead. For each region, we performed 15 different experiments for ML techniques, progressively sliding the training and the testing period window of 4 years from 1981 to 2017. Alongside SST, other relevant atmospheric variables are utilized as potential predictors of MHWs. Datasets from the European Space Agency Climate Change Initiative (ESA CCI SST) v2.1 and the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis from 1981 to 2021 are used to train and test the ML techniques. For each area, the results show that all the ML methods performed with minimum root mean square errors (RMSEs) of about 0.1 °C at a 1 d lead time and maximum values of about 0.8 °C at a 7 d lead time. In all regions, both the RForest and LSTM consistently outperformed the CNN model across all lead times. LSTM has the highest predictive skill in 11 regions at all lead times. Importantly, the ML techniques show results similar to the dynamical Copernicus Mediterranean Forecasting System (MedFS) for both SST and MHW forecasts, especially in the early forecast days. For MHW forecasting, ML methods compare favorably with MedFS up to 3 d lead time in 14 regions, while MedFS shows superior skill at 5 d lead time in 9 out of 16 regions. All methods predict the occurrence of MHWs with a confidence level greater than 50 % in each region. Additionally, the study highlights the importance of incoming solar radiation as a significant predictor of SST variability along with SST itself.
Acoustic signalling and subspecies divergence in two Australasian treecreepers (Climacteridae)
Authors:   , Doohan Brendan
Published: March 2024

Australasian treecreepers have diversified into most woodland habitats throughout Australia, yet little is known about the mechanisms behind this diversification at the intra-species level. This thesis explored the morphometrics, systematics, acoustics, and behaviour of two treecreeper species (Climacteris picumnus and Cormobates leucophaea) to identify the potential mechanisms leading to subspecies divergence. The results of the project identified that geographic isolation, not bird song, is responsible for subspecies divergence in both species. These results have provided a better understanding of the biology of C. picumnus and Co. leucophaea and provide valuable insight into the evolution of Australia’s woodland bird species.
Plantasika e-Module with Problem Based Learning (PBL) Model for Class IV Primary School Students
Authors: Febriyanti Valentia , Raharjo Tri Joko , Setiawan Deni
Published: March 2024

This research is motivated by the fact that the use of learning media still needs to be expanded and more varied. This research aims to develop the design, test the feasibility, and test the effectiveness of the Plantasika e-module media using the problem-based learning (PBL) model. This type of research is Research and Development (R&D) with the development of the Borg & Gall model. The data collection techniques used are tests and non-tests, including observation, interviews, questionnaires, and document data. Data analysis techniques include normality tests, homogeneity tests, paired t-tests, and N-gain tests. The Plantasika e-module media received a very suitable category for use as learning media with percentage results of 96.25% from media experts, 95% from material experts, and 90.6% from language experts. The results from the normality test of the pretest and posttest scores were normally distributed, and from the homogeneity test, the pretest and posttest scores were declared homogeneous. The t-test results show that t_count = 13.468 > t_table = 2.073, so there is a significant difference between the pretest and posttest results with the class N-gain test of 0.71 with high criteria. The analysis of indicators of critical thinking skills obtained an average pretest score of 64.57 with a learning completeness of 58.7%. After being treated with the Plantasika e-module media, the average posttest score increased to 89.78, with learning completeness of 86.7 %. The results of the percentage of teacher and student responses to the questionnaire showed a positive response. This concludes this research concludes that the Plantasika e-module media with the problem-based problem-based learning (PBL) model is feasible and effective in improving learning outcomes and critical thinking skills in class IV science course content.

Keywords: Plantasika E-Module, Problem Based Learning, Class IV Elementary School Students
Arbitration and Resolution of Contending Forces of Urban Land Policy Expressed in Land Use in Metropolitan Areas of Nigeria
Authors: I. O. Johnbosco , I. O. Esther , O. S. Raphael
Published: March 2024

The beauty of a metropolitan area is efficient separation of different land uses so as to accommodate and ensure the coexistence of various land uses (residential, commercial industrial, recreational, etc.) in urban centers. This paper examines the complexities of urban land policy and land use in metropolitan areas, with a focus on Lagos. The study adopted qualitative content review to analyze existing literature. The study found that the government understands that land is a treasure; hence, there are land policies on the use of land to control the use and ownership of land in Nigeria. In spite of all these legislations, there are still existing problems and inadequacies in land use and administration of land in metropolitan areas, such as Lagos. This inadequacy are the contending forces of urban land policies expressed in land use in metropolitan areas in Nigeria. However, there are land use approaches which ensure the arbitration and resolution of these contending forces. These land use approaches include but are not limited to comprehensive urban planning, zoning and land use regulation, infrastructural development, etc.
Psycho-social Experiences of Community Health Workers during the COVID-19 Epidemic at Edith Operman, Mbare in Zimbabwe
Authors: C. Tadios , C. M. Tafadzwa , K. Wilberforce , T. J. Shelton
Published: March 2024

This study explores the experiences of community health workers at Edith Operman Clinic, Mbare in Zimbabwe during the COVID-19 pandemic. A qualitative research methodology was used, together with a phenomenological research design. The target population comprised fifteen CHWs and five trainers of trainers, selected through purposive sampling. The study found that CHWs faced challenges such as stigma, transport problems, limited personal protective equipment, and fear of infection. The CHWs employed different coping mechanisms such as support from friends, family, and peers, listening to music, watching television, praying, and using home remedies. The study recommends that psychosocial interventions be put in place to take care of the CHWs, especially during pandemics like COVID-19.
Pengaruh Job Satisfaction, Conflict Management, Leadership Style Terhadap Employee Commitment Pada PT Bina Media Tenggara
Authors: Putra dharmawan Rehan , Emilisa Netania , Mercelie Charles
Published: March 2024

This study aims to analyze the effect of Job Satisfaction, Conflict Management, Leadership Style on Employee Commitment. This research was conducted using quantitative approach and survey method by taking samples from employees at Bina Media Tenggara company. The data were analyzed using multiple regression analysis techniques. A total of 225 samples were collected. The results showed that Job Satisfaction, Conflict Management and Leadership Style significantly affect Employee Commitment. This finding shows that employees with high Job Satisfaction, positive Conflict Management roles, and good Leadership Style can increase Employee Commitment in the company. This research provides practical implications for companies in increasing Employee Commitment. It is very important for companies to pay attention to these factors, because it can increase Job Satisfaction which affects Employee Commitment to achieve company goals.
A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain
Authors: Torres uan Sebastian Arbelaez , Paloma Daniel Mauricio Rodriguez , Gatica Gustavo , Álvarez-Martínez David , Escoba John Willmer
Published: March 2024

This paper proposes a matheuristic approach for the location-routing of industrial platforms of the pineapple supply chain problem. We have proposed a three-phase methodology to solve the considered problem. The first phase consists of obtaining the potential supply in terms of suitability and productivity, the potential location of platforms, and the times of the value chain echelons. In the second phase, a mathematical optimization model for the location problem of platforms considering the coverage in terms of timing is proposed. Finally, the final phase proposes a cluster-routing and a granular reactive tabu search approach for the routing phase. The proposed methodology uses official information on production times, speed, and capacity and georeferenced aptitude, spatial, economic, and land yield information for the first time. The proposed approach has been validated through scenarios, particularly pineapple exports for the Colombian country. The obtained results show the efficiency of the proposed approach.
International Immigration: A Potentially Feasible Solution to China’s Population Ageing
Authors: Zhong Sheng
Published: March 2024

For a long time, China has been seen as a youthful country, and there are lots of studies have illustrated that the demographic dividend was a crucial factor in China’s super-rapid economic growth over the past few decades. However, as a result of strict family planning policies which lasted nearly half a century as well as a significant increase in average life expectancy, the population ageing problem is beginning to emerge in today’s China. Although policymakers have been aware of this trend, current domestic remedies are not sufficient to address potential risks effectively. The core viewpoint of this paper is that China is ought to put international measures on the agenda to prevent future demographic crises. In addition, based on China’s actual national conditions and the experience of the developed world in dealing with the ageing problem, this paper also makes some suggestions to support the improvement of China’s international immigration policies.
High-dose methotrexate and zanubrutinib combination therapy for primary central nervous system lymphoma
Authors: Yadav Budhi Singh
Published: March 2024

In this editorial I comment on the article, published in the current issue of the World Journal of Clinical Oncology . Primary central nervous system lymphoma (PCNSL) is a disease of elderly and immunocompromised patients. The authors reported clinical results of 19 patients with PCNSL treated with zanubrutinib/ high dose methotrexate (HD-MTX) until disease progression. They demonstrated that the combination of zanubrutinib with HD-MTX led to a marked clinical response and tolerability among these patients. They also observed that cerebrospinal fluid liquid biopsy to detect circulating tumor DNA may be a good option for evaluating treatment response and tumor burden in patients with PCNSL. PCNSL is a challenging disease for treatment as these patients present with different neurological states and comorbidities. Treatment has evolved over the years from whole brain radiotherapy to HD-MTX followed by autologous stem cell transplant. Gradually, treatment of patients with PCNSL is going to become individualized.
PD-1 antibody in combination with chemotherapy for the treatment of SMARCA4-deficient advanced undifferentiated carcinoma of the duodenum: Two case reports
Authors: Shi Yi-Nan , Zhang Xiao-Rui , Ma Wei-Yu , Lian Jing , Liu Yan-Feng , Li Yi-Fan , Yang Wen-Hui
Published: March 2024

BACKGROUND

SMARCA4 is a component of chromatin remodeling of SWItch/sucrose-nonfermenting (SWI/SNF) complexes and plays an essential role in oncogenesis. SMARCA4-deficient malignancies arising from the gastrointestinal tract are rare and have a poor prognosis. There is no standard treatment for advanced and undifferentiated SMARCA4-deficient duodenal malignancies. Programmed death 1 (PD-1) antibodies, known as immune checkpoint inhibitor antibodies, potentially play a role in treating gastrointestinal tract malignancies.

CASE SUMMARY

We present two patients with SMARCA4 deficiency and TP53 gene mutation in advanced undifferentiated carcinomas of the duodenum. For both patients, SMARCA4 deficiency was confirmed by immunohistochemical staining for the BRG1 protein, while TP53 gene mutations were observed via next-generation sequencing. Both patients were administered chemotherapy in combination with an anti-PD-1 antibody. The two patients exhibited completely different responses to treatment and had different prognoses. Case 1 experienced rapid progression after PD-1 infusion and chemotherapy, case 2 experienced a remarkable response after treatment, and the progression-free survival was more than 6 months.

CONCLUSION

This study described our clinical and pathological observations of SMARCA4-deficient advanced undifferentiated carcinoma of the duodenum. PD-1 combined with chemotherapy showed a certain efficacy in select patients, providing options for treating these highly malignant tumors. Patients with liver metastases had a worse prognosis than did those with only lymph node metastasis.
利用創新醫療器材卸針裝置及資訊傳遞系統提升醫療安全及使用者滿意度
Authors: 王姿云 王姿云 , 周信旭 周信旭
Published: March 2024

背景：胰島素注射為糖尿病患控制血糖效果最佳的治療方式之一，然而胰島素在注射過程中可能因為針扎而導致病人生活品質下降，甚至不願意施打而造成疾病惡化。目的：藉由臨床觀察、蒐集施打者使用筆型胰島素針扎時機之不良經驗，製作出可協助移除筆型胰島素針頭之卸針座，降低施打者雙手在裝卸針頭時直接接觸針頭的風險，並提升使用者滿意度。方法：利用3D列印，製作出以ABS樹脂為材質的筆型胰島素注射器安全卸針座—「針小心」，結合臨床施打胰島素常見的問題製作前後測問卷，並依此蒐集受測者資料，比較前後滿意度。結果：在使用者回饋上，卸針座的應用可讓使用者更易於胰島素注射，並得到大部分問項上皆有所改善的結果。結論：「針小心」在使用上可提升醫療安全性，另也使使用者更便於進行胰島素注射，未來也將持續針對使用者回饋意見進行改善。

 

Background：Insulin injection is one of the most effective treatments for glu-cose control. However, insulin injections may lead to a decrease in quality of life for patients due to needle sticks during the injection process, and may even result in disease exacerbation if patients are reluctant to undergo injections. Purpose：Given the clinical observation and the collected feedback from unsatisfied insulin injection experiences, we presented a needle remover designed for removing needles from pen injections. It aims to alleviate the risk associated with needle loading/unloading and improve user satisfaction. Methods：We have developed a novel needle remover called “Bye2NeedleStick” using 3D printing technology. In addition, we admin-istered questionnaires related to clinical practicesto assess user satisfaction. Results：Given user feedback, the application of “Needle Care” can make it easier for users to inject insulin and lead to improved results to most of the survey questions. Conclusions： The " Bye2NeedleStick" needle remover for insulin pen injection can improve safety, usability, and reduce risks in clinical use. The product will continue to be improved addressing potential issues from the feedback of users.

 
Rezension von: Pfarrei Sankt Peter und Paul (Hrsg.), 750 Jahre Deutschordenskommende Heilbronn
Authors: Gräter Carlheinz , Pfarrei Sankt Peter und Paul (Heilbronn)
Published: March 2024

750 Jahre Deutschordenskommende Heilbronn. Hrsg. vom Pfarramt St. Peter und Paul in Zusammenarbeit mit der Stadt Heilbronn 1977,168 S.
Rezension von: Ziegler, Uwe, Verwaltungs-, Wirtschafts- und Sozialstruktur Hohenzollerns im 19. Jahrhundert
Authors: Magen Ferdinand , Ziegler Uwe
Published: March 2024

Uwe Ziegler: Verwaltungs-, Wirtschafts- und Sozialstruktur Hohenzollerns im 19. Jahrhundert. Sigmaringen: Thorbecke 1976. 238 S. (Arbeiten zur Landeskunde Hohenzollerns. 13.)
Rezension von: Grabinger, Christine, Bernhausen
Authors: Wunder Gerd , Bührlen-Grabinger Christine
Published: March 2024

Christine Grabinger: Bernhausen. Ortsgeschichte. 1974. 423 S. Ill.
Rezension von: Hirsch-Hoffmann. Sonderdruck aus Deutsches Geschlechterbuch Bd. 174
Authors: Wunder Gerd
Published: March 2024

Hirsch-Hoffmann. (Sonderdruck aus Deutsches Geschlechterbuch Bd. 174, Pommern Bd. 9). 1977.
Kıbrıs’ın Su Probleminin Geçmişi
Authors: Ağıralioğlu Necati
Published: March 2024

In this study, the water condition of Cyprus and the studies related to it were revealed before the “TRNC (Turkish Republic of Northern Cyprus) Water Supply Project”, which was put into service in 2015. For this, firstly, the drought and famines in the past on the island were emphasized, based on the climate and precipitation condition of the island of Cyprus. Information was given about the difficulties experienced and the measures taken during the dry periods that took place on the island in the last three centuries. Then, the water resources and management on the island of Cyprus were evaluated separately for the island as a whole and for Northern Cyprus and Southern Cyprus. In addition, the studies carried out in the past to determine the water need in Northern Cyprus were evaluated. Finally, the past project studies for the solution of the water issue in Northern Cyprus are explained
Evaluation of a didactic sequence proposal based on technoteaching applied in basic education
Authors: Lima Luciana de , Loureiro Robson Carlos
Published: March 2024

Faced with the problem of expository classes contributing little to student learning, a Didactic Sequence (SD) proposal was developed that promotes student protagonism in the construction of knowledge. The objective is to evaluate the proposal of this SD, based on the theoretical assumptions of Technoteaching, in view of the development of Digital Authorial Educational Materials (MADEs), making use of a digital technological artifact by Basic Education students. The intervention research, based on Design Based Learning (DBR), analyzed the application of two SD linked to Statistics and English Language content with students in the 2nd year of High School and the 5th year of Elementary School, respectively, based on the predicted SD model. It was found that the proposal was favorable in terms of quality, promoting the learning of the students involved.
O olhar dos proprietários envolvidos em um projeto de recuperação de matas ciliares na Amazônia
Authors: Aquino Rafael Norberto de , Sant'Ana Antonio Lázaro , Nascimento Gisely Storch do
Published: March 2024

Decorrente de um processo histórico de exploração das Áreas de Preservação Permanente (APP’s) destinadas às matas ciliares, estas estão ausentes ou inferiores ao estabelecido na legislação em grande parte dos cursos d’água no Brasil, em função da ocupação irregular dessas áreas, principalmente, com a atividade de bovinocultura. Em Colorado do Oeste (RO), em 2008, firmou-se com os proprietários das áreas marginais ao curso d’água denominado Córrego Hermes, um Termo de Compromisso de Ajustamento de Conduta (TAC) via Ministério Público de Rondônia (MPRO), para a recuperação ambiental das matas ciliares, conforme legislação vigente à época. O objetivo deste trabalho foi analisar a percepção dos proprietários envolvidos no projeto frente ao TAC, 12 anos após sua assinatura. Para a realização desta pesquisa foram utilizados métodos qualitativos e quantitativos, dentre os quais: entrevistas com 29 proprietários rurais, análise documental e análise multi-temporal por meio de imagens aéreas, o que permitiu uma visão abrangente dos resultados do Projeto. Observou-se que a percepção dos proprietários das áreas é positiva em relação à legislação ambiental, no que se refere à APP ao longo de cursos d’água, na medida que consideraram que o Projeto foi necessário e que a degradação do Córrego Hermes ocorreu pela ausência das matas ciliares, e se proporiam a realizar novamente o Projeto, caso houvesse apoio financeiro; mas mencionaram também aspectos negativos que comprometeram o êxito do Projeto, como a imposição da recuperação ambiental via TAC, o não recebimento de incentivos, a falta de assistência técnica e de um trabalho de conscientização dos agricultores. Após quase 12 anos da implantação do projeto, a pouca efetividade no incremento das florestas indica que o Projeto e o TAC não atingiram o objetivo de recomposição das matas ciliares do Córrego Hermes, pois quase 70% das áreas de APP que deveriam ter sido recuperadas não haviam atingido esse estágio. Com base nos resultados desta pesquisa, sugere-se que projetos dessa natureza, priorizem a participação dos sujeitos envolvidos e sejam alicerçados em um trabalho de educação ambiental, apoiados em políticas públicas de longo prazo e incentivo financeiro aos agricultores participantes do projeto.