bluuebunny/crossref_metadata_2025 huggingface dataset:
Incorporating One Health in health professions curriculum in the Dominican Republic
Authors: Veras-Estévez Bienvenido A. , Chapman Helena J.
Published: December 2023

Training the global health workforce to help manage emerging risks (including pandemic preparedness) and build health system resiliency is a priority for health professions programs. Incorporating One Health competencies – which emphasize multidisciplinary collaborations to identify innovative solutions that connect human, animal, and environmental health – can prepare trainees to excel in their academic teaching, clinical practice, community health activities, laboratory diagnostics, and policy decision-making.
The historical minute as a didactic strategy for the achievement of communicative competence
Authors: Ochoa Perdomo Valery A. , Rodríguez Reinoso Oswaldo Antonio
Published: December 2023

Introduction. The dynamic nature of architecture as profession demands a shift towards competency-based education to enable relevant performance by future professionals. One of the core competencies is communicative skills, which poses a challenge for teachers dealing with students educated during the pandemic. This study described the implementation of the historical minute dynamic to develop communicative competence. Methods. A quasi-experimental, transactional study with a quantitative approach conducted in four sessions within the History of Architecture II class at Universidad Tecnológica Centroamericana (UNITEC) in San Pedro Sula, Honduras. Results. The historical minute dynamic enhanced students' verbal fluency despite not influencing their perception of oral expression skills. It strengthened group work capabilities and creativity in realizing ideas. Conclusion. The perception of oral expression skills by the students themselves suggests refining the didactic strategies in line with the learning styles, to have a more significant impact on the achievement of communicative competence.
Perfil das pessoas idosas no Brasil: um estudo sobre acesso à internet e habilidades digitais por gerações
Authors: Santos Maíra Rocha , Gomes Marília Miranda Forte
Published: December 2023

Este estudo analisou o acesso à internet e as habilidades digitais relacionadas à tecnologia da informação e comunicação (TIC) entre pessoas idosas no Brasil, com foco nas Gerações Baby Boom Late, Baby Boom Early e Silenciosa. Utilizando dados secundários da TIC domicílios 2021 (Cetic.br), a pesquisa adotou uma abordagem descritiva e exploratória, apoiada por análise de dados e visualização através do Power BI. Os resultados revelaram insights importantes sobre o perfil da amostra. Notavelmente, houve uma falta de interesse pela tecnologia em todas as gerações, embora os dados tenham sido mais promissores para a Geração Baby Boom Late. Quanto ao sexo e raça, as mulheres brancas se destacaram como as mais envolvidas e adeptas ao uso da internet em benefício próprio, enquanto os homens brancos apresentaram melhores resultados em alfabetização digital e literacia computacional. Por outro lado, os piores indicadores, incluindo falta de interesse, habilidades precárias, baixa alfabetização e renda limitada, foram observados na população preta. Esses resultados destacam a necessidade de esforços conjuntos do governo e da sociedade para melhorar as habilidades digitais básicas da população idosa no país, bem como para implementar políticas que promovam o acesso à tecnologia.
Por um currículo brincante: reflexões sobre a aprendizagem na educação infantil
Authors: Rios Pedro Paulo Souza , De Almeidade Suzzana Alice Lima , Da Silva Joseane , Da Silva Thais Ferreira
Published: December 2023

O presente estudo buscou refletir sobre as práticas pedagógicas lúdicas na Educação Infantil, nas questões inerentes a execução do currículo, por considerar que esses são campos de conhecimento pertinentes aos processos educacionais. O estudo teve por objetivo refletir sobre o processo de ensino-aprendizagem a partir de um currículo brincante numa instituição de Educação Infantil do Território de Identidade do Piemonte Norte do Itapicuru – Bahia. Quanto aos procedimentos metodológicos optamos pelas narrativas, por compreendermos que as mesmas possibilitariam maior capacidade de análise, no que tange ao objetivo da pesquisa. A partir das narrativas foi possível evidenciar que as práticas pedagógicas desenvolvidas a partir de atividades lúdicas, na Educação Infantil, acaba por questionar as práticas de currículo, a escola e sua metodologia, fomentando a necessidade de se repensar tais práticas na Educação Infantil, considerando que a ludicidade se constitui enquanto elemento basilar do fazer pedagógico nessa modalidade de ensino.
A valorização do resíduo agroindustrial para a produção de novos materiais
Authors: Rocha Bruna Bessa , Moura Jorge Daniel de Melo
Published: December 2023

Os resíduos produzidos pela atividade econômica, tais como os resíduos industriais e os resíduos agroindustriais, são a grande fonte de matéria-prima para a produção de novos materiais destinados à construção civil e rural, como, por exemplo, painéis de vedação e forro para edificações. Este artigo se fundamenta na proposta de uma linha de produção de materiais e se caracteriza como um estudo baseado em uma investigação de locais que geram quantidades significativas de resíduos. Diante do levantamento realizado, pode-se concluir que a Região Administrativa de Presidente Prudente, em São Paulo, apresenta potencial para a implantação de um sistema que apoie os proprietários de serrarias da região na implementação de um núcleo produtor de componentes modulares a partir do volume de resíduos gerados.
Governance and sustainable development goals (SDGs): a bibliographic review of the literature
Authors: Custodio Larissa Luana Pereira , Martins Maria de Fatima
Published: December 2023

Objective: to carry out a bibliographical review of the literature on sustainable governance and SDGs, inventorying, and mapping initiatives developed by the international literature. Theoretical approach: Adopted a bibliometric approach that allows exploring the existing nuances in a specific field while discovering the emerging areas of this theme through the Bibliometrix software. Results: Through this review, the importance of governance for the implementation of the SDGs is evident because governance operates on a broader level and involves the participation of different stakeholders acting in different segments to obtain dialogues and different power relations to manage the common issues related to the achievement of the SDGs. Originality and Relevance: Highlighting the importance of governance for implementing and consolidating the 2030 Agenda, gaps were found in the few studies relating the two themes. Given this, there is a need to map initiatives developed by the international literature on sustainable governance, SDGs, and the 2030 Agenda, to understand better the current advances and challenges involving the subject so that new perspectives for studies are signaled. Theoretical and methodological contributions: Theoretical implications are in the discussion of the conceptual and empirical strengthening of these themes and practical implications in the development of future methodologies.
Hypocalcemia in trauma patients: A narrative review
Authors: Palitnonkiat Visarat , Owattanapanich Natthida
Published: December 2023

Hypothermia, acidosis, and coagulopathy together make up the trauma triad of death, which has been acknowledged as a key factor in the demise of trauma patients. Hypocalcemia has recently been added as the fourth element of the "diamond of death" in trauma. However, the effects of hypocalcemia in trauma patients have received insufficient attention from systematic reviews. The primary focus of this review will be the impact of hypocalcemia on the mortality rates among trauma victims. Regardless of a large transfusion, hypocalcemia can occur in trauma patients; this condition is known as "trauma-induced hypocalcemia". Hypocalcemia driven by trauma is multifaceted and linked to the fatal triad, which may worsen or even result in death. Our review showed an association between hypocalcemia and increased mortality. Recent data have introduced hypocalcemia integrated with the trauma lethal triad for predicting the prognosis and mortality of critically traumatized patients. However, the benefit of prophylactic calcium supplementation requires further study to support it.
An optimization in big data time series prediction method by Parzen estimation with Spark
Authors: Liu Hao
Published: December 2023

With the development and change of big data related technologies, more and more large amounts of data need to be analyzed. Now there are companies like Google, Yahoo, etc. Frameworks such as MapReduce, Hadoop, Spark, etc. are developed for processing large amounts of data. In this paper, relevant discussions and researches are carried out on time series forecasting under the new era of big data. Now there are time series forecasting methods based on map reduce, Hadoop, spark data processing framework, including nearest neighbor distribution method, neural network method, etc., which have made quite good achievements in big data time series forecasting. By reading the relevant research literature, it is universally acknowledged that the Sparks framework has good application prospects and potential in predicting big data time series. As a result, this paper is mainly aimed at the optimization and improvement of the big data time series forecasting method on the basis of the spark framework. The author noticed that most of the default configurations of spark clusters are generated by default or automatically, rather than the optimal solution obtained after algorithm optimization, so there is still room for improvement in this regard. In this regard, this paper proposes a kernel method for visual data processing of related configurations and parameters, and then optimizes the default data configuration as much as possible to improve the accuracy and feasibility of the big data time series prediction method on the basis of the spark framework. In this paper, the optimized scheme is used to forecast the domestic electricity consumption in the past five years, and the results show that the optimized scheme has a good improvement performance on the basis of the original method.
The impact of AGV application on port operating efficiency
Authors: Chen Qiuyu
Published: December 2023

This paper analyses the application of Automated Guided Vehicle (AGV) in ports and evaluates the 20 ports' efficiency with the consideration of AGV application. Using the data envelopment analysis (DEA) method and the simulated data, this paper further identifies the optimal number of AGVs for these 20 ports. The DEA-CCR and DEA-BCC results show that most of these 20 ports are already efficient. And Ningbo port, Osaka port, and Hamburg port are the most efficient port as they obtained the highest scores in super-efficiency analysis. But using the simulation data, the result suggests that some ports, such as Busan Port and Antwerp Port, are able to improve their efficiency by adjusting the application of AGV. The finding of this paper suggests that existing automated port can improve their economic efficiency by reducing the number of AGVs, or enhancing their service efficiency by increasing the application of AGVs. But for traditional ports, expanding the application of AGV can increase both port economic and service efficiency.
High-level control architecture of lower limb exoskeleton: A review
Authors: Zhou Haonan
Published: December 2023

As a rehabilitation robot for aiding in the movement of lower limbs, the lower limb exoskeleton is a beneficial device. In order to make the most effective use of the exoskeleton, the control strategy plays a crucial role. This review paper provides a background and classification of lower limb exoskeleton control strategies, such as model-based and hierarchy-based control. Further, we presented mainly the high-level control architecture of lower limb exoskeletons, which is aimed at detecting the intention of human movement. An in-depth discussion is provided in this paper regarding manual user input (MUI), surface electromyography (sEMG), and brain-computer interface (BCI). Many people need exoskeletons, which is why this review was written. Exoskeletons, however, are expensive and cannot be mass-produced, and their control methods are immature, making them ineffective. Thus, the objective of this review is to identify research gaps and common limitations in previous research to obtain future directions for improving the usability of the control mechanism. In an alternative approach, MUI and BCI are combined to reduce the time spent switching movement modes and the amount of concentration required to do so.
Elliptic flow in Pb+Pb Collision at (s_NN )=5.02 TeV
Authors: Tian Binghao
Published: December 2023

Elliptic flow signal, v_2, is widely studied in heavy ion collisions. Researches have been done to obtain the pseudorapidity dependence of v_2, while the measurement of transverse momentum dependence is relatively few. This paper presents the transverse momentum dependence of v_2 in Pb+Pb collision at(s_NN )=5.02 TeV. The measurement is performed in the region with pseudorapidity ||<2.8 and transverse momentum 0.2 < p_T<6.0GeV. In this work, we use sub-event method to measure elliptic flow for the collisions in different ranges of transverse momentum. The result shows a polynomial relation between elliptic flow signal and transverse momentum. In Section 4, the limitation of our measurement is also discussed.
Researches advanced in path planning to indoor fire escape and rescue based on SLAM
Authors: Wei Juntao , Wu Yufei
Published: December 2023

Helping trapped people understand the external situation and provide navigation to escape the fire is the key to reducing fire casualties. Thanks to the rapid development of artificial intelligence technology, the combination of simultaneous localization and mapping (SLAM) and path planning technology has gradually become a new research hotspot, which can help provide on-site fire information, maps and navigation for trapped people and firefighters. However, improving the accuracy of SLAM techniques under harsh conditions (e.g., thick smoke, high temperature) is still an open topic. Focusing on SLAM noise reduction and path planning, in this paper, we detail the latest research progress of SLAM technology in fire escape assistance. Specifically, we first introduce the current development and application frontiers of SLAM technology, and then analyze and compare the application of SLAM technology in fire scenarios. In addition, the performance changes of the two continuous A* algorithms and the RRT algorithm during global path planning for fire scenarios are compared. Finally, we discuss the development trend of SLAM in future fire escape and rescue.
Optimization of the two-dimensional stator
Authors: Liang Yulong
Published: December 2023

Gas turbine engine is mainly composed of compressor, inlet , tail nozzle, combustion chamber and turbine. The compressor pressurizes the air from the inlet into high-pressure air, which is used to mix and burn with fuel in the combustion chamber to form high-pressure gas. In this paper, numerical analysis of compressor stator performance and corresponding optimization were conducted using COMSOL Multiphysics 5.6. Firstly, an overview of compressor blade design is given. Then, the physical model and computational model are introduced and established by COMSOL. Afterwards, after the validation of the computational model, the numerical computations and results are generated and used to compare with NASA67 stator experimental data, with several key performance indicators including turning angle and loss coefficient. The polynomial expression is used to construct the blade shape/profile with different maximum thickness and its position, maximum bending and its position, trailing and leading edge angle and chord length are chosen as parameters for optimization. Then, I choose the maximum thickness and its position, maximum bending and its position, trailing and leading edge angle as the optimization parameter. Finally, we reach some conclusions of a better stator design possible for newer compressor requirements and further studies are recommended.
Automatic dining car system based on A* algorithm
Authors: Li Sirui , Yang Senjie
Published: December 2023

To solve the problem of selling dining and getting the most profit in a certain time by two devices, this project is divided into two parts, one is the detection and the other is route planning, these two parts are combined to find the nearest suitable selling position and plan the optimal path from the current position to that point. Firstly, achieve the function of detecting the center points of the densely populated areas based on the work of tracing the areas contours and the center point of the object by OpenCV, then select the nearest point. Then find out whether the point is on the road, if yes, the point will be the endpoint, if not, use BFS (Breadth-first search) to find the nearest point of the selected point which is on the road. Finally, use the A* algorithm to plan an optimal route between the current position of the car and the endpoint. Furthermore, the heuristic function is used to optimize the algorithm to achieve maximum profit.
Logistic regression-based side-channel analysis attacks
Authors: Liao Taobo
Published: December 2023

Advanced Encryption Standard (AES) is a modern concept in cryptography. Most of modern encryption schemes and devises are built based on this standard. Those encryption systems have really high resistance to most of modern attacking methods. However, this passage will introduce the most powerful way of attacking: Side-Channel Analysis (SCA). By performing such attacking by artificial intelligence model, it shows that they can break the encryption system in a very efficient and effective way. By using ASCAD database, this passage analysis some properties when using logistic regression to perform Side-Channel-Attack on the traces of the encryption system. Since in the original article, the authors only analysis the performance of multilayer perceptron (MLP) and convolution neural network (CNN), this passage aims to apply similar methodology to logistic regression and analyse its performance in different circumstances. Moreover, some interesting properties about logistic regression was found, and it can sometimes perform better than systems in the original passage in certain situation.
Analysis of V2G intelligent charge and discharge structures for electric vehicles
Authors: Zheng Bowen
Published: December 2023

As the number of electric vehicles grows, their ability to charge the grid in the opposite direction is increasingly being retried. The vehicle to grid (V2G) charging technology can solve the problem of peak-valley power difference existing in the grid, and even provide power supply support when the grid collapses. The article reviewed the development of the Vehicle-to Grid. The topological image and working principle of the main structure of V2G such as full-bridge converter, AC/DC converter and DC/DC refilter were analysed. Through the analysis of the working principle of V2G, its internal basic circuit structure has been more clearly demonstrated. Finally, Through V2G demonstration projects at home and abroad, listing three demonstration projects AirQon, Parker project and FCA project, the current problems of V2G technology are summarized, and the future of V2G technology is prospected. This article will contribute to the further industrial landing of V2G technology and lay the foundation for the further innovation of V2G technology in the future.
Using LSTM neural network to generate music
Authors: Zhang Yujie
Published: December 2023

Music generation is a cutting edge and useful research filed, which is helpful for artists to compose novel melodies as well as revealing potential patterns of music. Recurrent neural network (RNN) is a member of the neural network family, which is commonly used for processing sequential data. It can deal with sequential changes in data compared to normal neural networks. Long short-term memory (LSTM) aims at improving the conventional RNN. It is designed to alleviate the deficiencies of gradient disappearance and gradient explosion that possibly happened in RNN during training. In simple terms, LSTM is superior at grasping long term information than normal RNN. It can record the information that requires to be recorded for a long time and abandon these unimportant features. Unlike RNN, which have merely one way of stacking long-term information. It's quite useful for tasks that require long range dependence. In this work the effectiveness of the LSTM is validated on the music generation task.
Multiple improvement strategies for high-density text detection based on DBNet
Authors: Men Jingyang
Published: December 2023

High-Density text detection is actually challenging task, which deserves more attention on its performance improvement. Based on a typical existing text detection model called DBNet, this paper introduces a new approach in improving the performance of it in text-rich and readability interfered scenarios, which are mostly characterized by dozens of lines of text using different font sizes and text background harder for detecting and reading, the most significant scenario is text detection on the passport information page. The approach proposed in this study includes several steps, namely a baseline setting, a method of dataset enrichment and new loss function aiming at raising text detection for short texts and single characters, such methods has achieved enhanced improvement on text detection especially on short texts: an overall precision reaching 0.7854 and recall reaching 0.8758. Compared with the base model, the experimental results demonstrated the effectiveness of the proposed methods in this study.
Analysis of common diseases, monitoring, and maintenance of cable-stayed bridges
Authors: He Xiaoxue
Published: December 2023

The tide of bridge building has passed. Nowadays, the monitoring and maintenance of bridges is very important for their safety, durability, and applicability, and it is the focus of the worlds attention and research. This paper analyzes the common diseases and maintenance strategies of common cable-stayed bridges and cable-stayed bridges in coastal areas. This paper includes system composition, sensor layout, sensor types, monitoring objects, structural health status evaluation, and daily maintenance, as well as Sutong Bridge, Changmen Grand Bridge, and Ganjiang Grand Bridge of Changgan Passenger Transport in Ganzhou and other concrete examples. The modules and functions of structural health status assessment and the application of the bridge health monitoring system, such as early warning and assessment in the daily monitoring of cable-stayed bridges, are introduced. And Changmen Grand Bridge, Ganjiang Grand Bridge of Changgan Passenger Transport in Ganzhou, and Sutong Bridge are compared and analyzed according to the arrangement of measuring points, monitoring objects, and corresponding sensors. Finally, this paper briefly discusses the basic methods of preventive maintenance, BIM, and other related intelligent monitoring methods.
Contrastive representation learning in recommendation systems--The investigation of the performance of the self-supervised learning in large-scale recommendation systems
Authors: Li Yuxin , Wang Jingyi , Wu Xinyang , Zhou Rui , Xu Baichuan
Published: December 2023

Self-supervised learning (SSL) has been proposed in machine learning projects for its convenience of reducing self-labeled datasets in recent years. However, the implementation of SSL in large-scale recommendation systems has lagged behind the evolution because of their scarce and tailed characteristics. In 2021, an article proposed the use of SSL in recommendation systems to pursue an improvement in the performance of recommender models. This article is built on this previous investigation and aims to further explore the role of SSL in recommendation systems and to investigate an improvement of the models efficiency. To answer research questions, this paper tests three models with different numbers of towers to discover the best performance of the use of SSL in recommender models. Consequently, it is found that implementing SSL on the item side only (two-tower DNNs) produced the best result. Then, when constructing the two-tower DNNs model, this article examines different numbers of negative pairs to change the InfoNCE loss to investigate a tradeoff between the number of positive and negative samples in the performance of the model. As a result, it turns out to be a weak correlation between this ratio and the performance; Hence, it is concluded that the change of the number of positive and negative samples would not necessarily affect the two-tower DNNs model. In our experiential stage, this paper uses a real-world dataset with 100k training samples to testify and compare our results.
Influencing factors of hotel reservation and prediction
Authors: He JiaJun
Published: December 2023

Hotel reservation has been a concern for hotel managers. They can manage their rooms well and deal with emergencies through the booking status, so it is important to predict whether the customer will cancel the reservation or not. Different from the articles data set based on evaluation and satisfaction of the hotel, this article is going to use limited and basic information based on objective factors to analysis the most influential factor and do the prediction. According to the correlation coefficient, the pairwise relationship of lead_time and booking status have a moderate and positive relationship, which. Next, through the test of goodness of fit, the number of children has a significant effect on the booking status. Last, the distance discriminant analysis model has a good predictive ability. The meaning of the analysis is to find new correlations of the pairwise variables, which people naturally ignore, and build a relatively accurate prediction model to serve the hotel managers to develop better.
Impact of COVID-19 on the Sleep and Mental Status of University Students
Authors: Mangi Autif Hussain , Khan Fahim Ullah , Zaman Laiq
Published: December 2023

Quality sleep with good mental health plays an important role for university students. Objective: To determine the impact of COVID-19 on the sleep quality of university students in Hyderabad and adjoining areas. Methods: It was a cross-sectional study conducted at the University of Sindh from December 2020 to February 2021 during the peak period of COVID-19. There were a total of 232 randomly selected male and female university students during the research work. The data were statistically calculated in percent and frequencies by using SPSS software version-21. The statistical difference was determined by applying a chi-square test and the p-value of < 0.05 was set as significant. Results: The majority (63%) of males were spending 8-9 hours on sleeping. Most of the females (52%) were spending less time (4-5 hours) on sleeping. Day naps were common in men compared to women and also 25% of males were taking sleeping pills frequently. About 27% of males and 8% of females reported headaches on waking up in the morning. Females were going early for sleeping compared to males. Conclusions: COVID-19 affected the sleep that might have also impacted the mental health of male and female university students during a stressful pandemic situation of COVID-19.
Association between Vitamin D Deficiency and Preeclampsia among Pregnant Females during First Trimester
Authors: Syed Sadaf Zahra , Fatima Bakhtawar , Waheed Fatima , Akhter Naheed , Butt Sadiya
Published: December 2023

One of issue during pregnancy among women is vitamin D insufficiency and studies have shown a dose–response relationship between development of preeclampsia and maternal vitamin D levels. Objective: To determine any association between vitamin D insufficiency in blood during the first trimester of pregnancy and development of preeclampsia. Methods: It was a Case Control study conducted in Department of Obstetrics and Gynecology, Lady Willingdon Hospital Lahore, from September 2019 to August, 2020. 150 women fulfilling selection criteria were enrolled from OPD of Lady Willingdon Hospital, Lahore. Informed consent was taken. Demographic variables e.g. age, gestational age, parity and BMI were recorded. Then females were divided in two groups i.e. cases with preeclampsia and controls without preeclampsia. Then medical record was obtained and vitamin D level during first trimester was noted. If vitamin D <20ng/dl, then vitamin D deficiency was labeled (as per operational definition). Data were entered and analyzed in SPSS version 20.0. Frequency and percentages were calculated for qualitative variables. Results: Mean age was 28.01±3.43 years. Mean gestational age was estimated as 32.84±4.75 weeks in cases and 32.24±3.55 in controls, Vitamin D deficiency in blood during the first trimester of pregnancy and development of preeclampsia shows that 90.67% in cases and 82.67% in controls had vitamin D deficiency with odds ratio of 2.03. Conclusions: We concluded that there is an association between vitamin D deficiency in blood during the first trimester of pregnancy and development of preeclampsia.
Management of uroperitoneum through combination of conservative and surgical treatments in two colts
Authors: Montano Chiara , Forni Giulia , Lanci Aliai , Mariella Jole , Prete Chiara , Chiara Mariaelena , Pasolini Maria , Rinnovati Riccardo
Published: December 2023

Background:
Ruptures of the urinary bladder and urachus are the most frequent cause of uroperitoneum in foals. Surgical correction is often the first treatment choice, however nonsurgical methods, such as urine removal via urinary catheters and abdominal drains, have been successfully performed in foals.
Case Description:
Two foals were referred to the Equine Perinatology Unit for suspicion of uroperitoneum. Diagnosis was confirmed by hematobiochemical and ultrasound examinations, thus cystorrhaphy and cystoplasty were attempted. Surgeons found a lesion in the dorsocranial margin of the bladder (Case 1) and a tear in the pelvic urethra (Case 2); in the first case the defect was routinely repaired, while the last lesion was impossible to repair due to its localization. A urinary catheter was left in place in both cases. Uroperitoneum recurred 72 hours after the surgery in both foals: a second surgical correction was not recommended due to the localization of the tears and conservative treatment, with the placement of a 32F chest tube in the most ventral part of the abdomen, was preferred. Abdominal drains were removed 5-7 days after surgery, while urinary catheters were left in place for up to 7-8 days. Colts’ conditions improved during hospitalizations. Two months after bladder surgery, Case 1 was euthanized due to multiple adhesions between the small intestine and the abdominal wall. Case 2 was still alive one year post-operatively.
Conclusion:
Although it cannot be considered the first choice for treatment of uroperitoneum in the foal, nonsurgical treatment was successful in both cases in the short-term follow-up. However, the prognosis should be cautious due to the risk of long-term complications. Conservative management may be used to manage bladder/urethral tears that cannot be solved by surgery.
Greenhouse gas fluxes from drained peatland : Measurement techniques and management impacts
Authors: Keck Hannes
Published: December 2023

Agricultural use of drained peatlands has significant implications for national greenhouse gas (GHG) emission inventories. Once drained, peatlands emit large amounts of carbon dioxide (CO2), may become small methane (CH4) sinks and, with nitrogen fertilisation, may emit large quantities of nitrous oxide (N2O). Studies on the influence of set-aside cropland in reducing GHG emissions from peatlands are rare, measurement techniques for continuous long-term observations are costly and detection of small fluxes is critical. This thesis investigated management effects on GHG fluxes from a cropland (CL) and an adjacent set-aside (SA) grassland on peat. An affordable relaxed eddy accumulation (REA) system for measuring continuous fluxes of CO2, N2O, CH4, and water vapour (H2O) was designed and tested. A convenient method for optimising chamber flux measurement duration and number of concentrations was developed and tested against experimental data. The SA site showed higher annual CO2 emissions than the CL site (0.41 and 0.16 kg CO2 m-2 yr1 , respectively). Nitrous oxide and CH4 emissions had a minor influence on the climate effect at both sides. The REA system reliably measured GHG fluxes over complete growing seasons, based on a comparison of CO2 and H2O fluxes with an eddy covariance system. The chamber optimisation method yielded similar results to experimental data, and can be valuable in the planning phase of measurement campaigns. In conclusion, this thesis found no evidence that setting-aside agricultural land on peat reduced GHG emissions and emphasises the importance of affordable and reliable measuring equipment.
ŞERİF MARDİN’İN ESERLERİ ÜZERİNDEN ENTELEKTÜELLER VE İDEOLOJİLER: SOSYOLOJİK BAKIŞ AÇISININ GÜCÜNE DAİR KİŞİSEL BİR İZAH
Authors: TAZEFİDAN Kenan
Published: December 2023

Bu çalışmada, Şerif Mardin’in eserleri üzerinden Türk sosyolojisi bağlamında entelektüeller ve ideolojiler konusunda bazı çıkarımlar, değerlendirmeler ve dönemsel olarak birtakım sınıflandırmalar yapmaktır. Türk sosyolojisinde entelektüellerin kazandığı özelliklerin, eğilimlerin yanında hasıraltı edilmiş ideolojilerin muhtevasıyla birlikte düşünülerek tespit edilmeye çalışılmıştır. 100 yıllık sosyoloji tarihimizle birlikte Batı’dan aktarılan ekollere yaklaşımlara, paradigmalara yer vermekle birlikte; entelektüellerin bu dönemdeki ideolojik bağlamındaki süreklilik ve kopuşlarına da yer verilmiştir. İdeolojilerin inşası ve yayılım aşamaları aydınlardan bağımsız değildir. Ayrıca entelektüeller ve ideolojiler gündelik siyasetin dışında da değildir. Bu nedenle entelektüellerin, siyasal hareketler ve ideolojilerle kurduğu ilişkilere de değinilmiştir. Her toplumda entelektüeller siyasal ideolojilerin hem taşıyıcıları hem de üreticileri oldukları hatırlatılmıştır. Çalışmada Osmanlı siyasal ve toplumsal yapısı ile düşünce tarihine ilişkin araştırmalarıyla tanınan Mardin’in eserleri perspektifinden entelektüeller, ideolojilere ve onun sosyolojik bakış açısı üzerinden söz konusu sürecin izleri takip edilerek gelinen noktada kemikleşen ideolojilerin entelektüellerin üzerindeki etkiyi tarihsel aşamalarıyla irdelemektir.
ARE GREEN CRYPTOCURRENCIES SAFE? INVESTIGATION OF THE GREEN AND NON-GREEN CRYPTOCURRENCIES
Authors: KILIÇ Metin , ALTAN İnci Merve
Published: December 2023

Cryptocurrencies, which started with Bitcoin, which was released differently from traditional payment and investment tools, have large transaction volumes today. In addition to the many economic benefits of cryptocurrencies, which are used both as a payment tool and as a financial investment tool, high energy consumption and a heavy carbon footprint come with them. With the owner of the automaker Tesla stating that he is worried about the increasing use of fossil fuels in Bitcoin mining and cutting its support for Bitcoin, the price of Bitcoin has fallen sharply, while green cryptocurrencies have reached historical peaks. This situation reminded the investors that they should handle risky investments carefully and also highlighted the importance of green investment tools. Understanding the relationship between green cryptocurrencies and other assets is essential for investors looking to expand their portfolios and seize emerging opportunities. In this direction, the study examined whether green cryptocurrencies are a safe haven against non-green cryptocurrencies in the period of January 2022–July 2023. In the analysis, DCC-GARCH analysis, risk, and return analyses were performed for safe haven. According to the analysis' findings, among cryptocurrencies, green cryptocurrencies are most likely to be a safe haven for investors.
IMPACTOS DA FALTA DE MOBILIDADE URBANA EM UMA INSTITUIÇÃO DE ENSINO SUPERIOR
Authors: Ferreira Sthéfane Matos , Barboza Maiane dos Santos , Aguiar Caio Magalhães Ferreira , Montanha Isabela Almeida , Velame Priscila de Azevêdo Araújo , Da Silva Isnanda Tarciara
Published: December 2023

Introdução: é notório o quanto o processo de urbanização tem sido algo crescente nos últimos tempos, de tal forma que um grande problema que as cidades exibem é o deslocamento, principalmente para pessoas portadoras de deficiência. Logo, a mobilidade urbana torna-se essencial para identidade, experiência de vida e oportunidades para todas as pessoas. A mobilidade urbana abrange o planejamento das cidades, o seu desenvolvimento, as disponibilidades de transporte e a atividade de circulação. Dessa forma, a discussão acerca da falta de mobilidade ou sua inadequação refletida nos direitos, falta de acessibilidade e inclusão dos indivíduos é imprescindível. Objetivo: o estudo tem como objetivo a investigação dos impactos da falta de mobilidade urbana em uma Instituição de Ensino Superior, observando se a livre mobilidade urbana constitui afirmação de direitos e inclusão social, além de discutir sobre os benefícios de uma mobilidade urbana inclusiva. Metodologia: trata-se de um estudo descritivo e analítico, de delineamento transversal e abordagem quantitativa e qualitativa. Este estudo foi realizado com indivíduos que compõem a comunidade acadêmica de uma Instituição de Ensino Superior Privada de Vitória da Conquista – Ba. Para identificar os impactos causados pela falta de acessibilidade, realizou-se a aplicação de questionário confeccionado pelos próprios autores. Resultados: Observou-se através da análise das respostas obtidas com os questionários como os impactos da falta de mobilidade urbana podem influenciar no processo de inclusão das pessoas com deficiência, nas diversas áreas da vida. Servindo como forma de reflexão acerca da importância da mobilidade urbana para o desenvolvimento da acessibilidade e inclusão de todos os indivíduos na sociedade. Conclusão: A análise dos dados encontrados na pesquisa demonstraram que a acessibilidade, fator importante para a inclusão na Instituição de Ensino Superior não está sendo empregada de forma correta em todos os ambientes, pois é necessário possibilitar o acesso a todos os lugares internos e externos de forma uniforme, cumprindo o direito de ir e vir.
Understanding the Effects of E-Learning on Subject Physiology Through Using Blackboard among Medical Students During the COVID-19 Era
Authors: Babateen Omar
Published: December 2023

Background: The COVID-19 pandemic has significantly impacted global education, including medical education, with traditional lectures and internships being disrupted and replaced by online learning platforms. This study aims to investigate the impact of e-learning through Blackboard on medical student's physiology education, as it directly relates to their curriculum and future medical practice. Methods: A structured questionnaire was developed to gather data on the impact of e-learning on physiology. The questionnaire's design ensured content validity and inter-reliability by incorporating existing literature, theoretical frameworks, and expert input. A total of 149 second and third-year medical students participated in the study. The online questionnaire, distributed via Google Forms, utilized a Likert scale for students to rate their attitudes towards online teaching. It covered demographic information, student satisfaction, and satisfaction with assignment methods. Results: Most participants were female (64%), and most students accessed online classes through their phones (93%). Results indicated that students agreed that online learning protected them from COVID-19 and facilitated better time management. However, a significant proportion for preferred face-to-face lectures and reported being distracted by the comforts of home. Overall, satisfaction rates were high, particularly for the assignment method, highlighting its benefits. Conclusion: This study shows that e-learning through Blackboard positively impacted medical students physiology education during COVID-19. Despite challenges and a preference for in-person learning, most students were satisfied with online teaching and found the assignment method beneficial. These findings highlight the potential of online platforms like Blackboard in medical education during crises, offering insights for improvement.
Newsletter Inklusion jetzt! Oktober 2023
Authors: Kieslinger Daniel , Owsianowski Judith
Published: December 2023

Mit dem Prozess Gemeinsam zum Ziel – Wir gestalten die Inklusive Kinder- und Jugendhilfe wurde im Juni 2022 ein Prozess gestartet, der Ende dieses Jahres mit einem Vorschlag zur gesetzlichen Rahmung von Hilfen aus einer Hand führen soll. Ein entscheidender Aspekt bei der Gestaltung einer inklusiven Jugendhilfelandschaft ist die zielgerichtete Kommunikation mit denjenigen, die von dieser Leistungserbringung profitieren. In diesem Newsletter möchten wir Ihnen von einem Projekt berichten, das sich mit der Frage beschäftigt, wie barrierefreie Kommunikation dauerhaft in den Strukturen von Organisationen verankert werden kann. Zudem lernen Sie mit dem Diversity-Konzept in diesem Newsletter einen Ansatz kennen, wie Vielfalt in der Arbeitswelt gelebt werden kann.
The Effect of Inflation, Interest Rate, Exchange Rate and GDP Growth on Stock Price Index
Authors: Sari Indah Devi Novian , Tan Emmelia
Published: December 2023

The purpose of this research is to examine the forces that will shape the performance of the IDX property and real estate index from 2017 to 2021. Inflation, interest, and exchange rates, as well as GDP growth, are the variables examined. Information gathered from www.idx.co.id, www.bi.go.id, and  www.bps.go.id. Stock price index data covering 60 months was gathered for this analysis. In this research, regression analysis using Eviews 11 was employed for data crunching. The Normality, Multicollinearity, Autocorrelation, and Heteroscedasticity tests from the Classical Assumption Test are used in this investigation. The Coefficient of Determination Test (R2), the Partial T Test, and the Simultaneous F Test are all examples of Hypothesis Tests. Inflation was found to have a significant value (0.04040.05), interest rates (0.00210.05), exchange rates (0.00220.05), and gross domestic product (0.00260.05) were all found to be significantly different from zero.
Sharia Bank Marketing Management Concepts
Authors: Susila Andriyati  , Muhammad Iqbal Fasa  , Suharto
Published: December 2023

The characteristics of products sold by banks are more services and not goods. Products sold are abstract or cannot be seen in absolute terms but can still be felt by customers. This research method is qualitative in the form of a literature review. Data in journals, books and encyclopedias related to the research focus. The data collection used is to look for literature that correlates or is in line with the main subject of the research. The marketing management concept asserts that the key to achieving organizational goals is that the company must be more effective than competitors in creating, delivering, and communicating customer value to its selected target markets. Kotler defines the marketing mix as a set of controllable factor marketing tools, products, prices, promotions, and places that the company integrates to produce the desired response in the target market. Saladin defines the marketing mix as a series of marketing variables that can be mastered by the company and used to achieve goals in the target market.
Effect of References And Services on Customer Decisions in Selecting Rahn Products
Authors: Ayuningtyas Septa Dwi , Toha Mashuri
Published: December 2023

Many people have lost their livelihoods due to the COVID-19 pandemic. BMT carries out fundraising activities by the community, distributes funds to the community and provides services in its functions as a non-bank financial institution. KSPPS BMT NU is one of the sharia-based financing solutions in Sumenep and is expected to minimize loan shark practices or even eliminate moneylender practices in villages in the Sumenep district. The method used is quantitative. Explanatory research type. Data collection techniques using questionnaires and documentation. A population of 1,081 was taken in the last six months, from July to December 2021. The sampling technique used non-probability sampling was 92 respondents. Furthermore, the validity and reliability tests were carried out with SPSS version 21. The results showed that the reference effect did not have a positive and significant impact but partially influenced customer decisions in choosing rahn products. This means that reference groups cannot always control a consumer, but it depends on whether the consumer wants to select the product or not with various considerations. Meanwhile, service has a positive and significant effect on customer decisions in choosing rahn products. That way, the higher the quality of service a company performs, the higher the customer's decision to select rahn products at KSPPS BMT NU Pragaan branch.
Mediation of Organizational Commitment on the Influence of Motivation and Skills on Employee Performance
Authors: Tri Sinarti  , Saraswati Thusy Tiara
Published: December 2023

This study aims to analyze the mediating variable Organizational Commitment on the influence of motivation and skills on the employee performance of Tulung Agung marble centre, East Java. The population in this study were employees totalling 1.500 employees, and samples were taken using a random sampling method using the Slovin formula, namely 93 employees. The goal to be achieved is to see the significance of the influence of motivation and skills variables directly on employee performance and indirectly by mediating organizational commitment at the Tulungagung marble business centre, East Java. The data source in this study is primary data taken directly from employees by distributing a list of questions related to Motivation, Skills, Organizational Commitment and Employee Performance. Respondents' answer scale using a Likert scale. The analysis technique used is Smart PLS analysis. The research results show that there is a motivational influence on organizational commitment. There is no effect of skills on organizational commitment. There is no effect of motivation and skills on employee performance. There is an influence of organizational commitment on employee performance. There is an indirect effect of motivation on employee performance through organizational commitment. There is no indirect effect of skills on employee performance through organizational commitment.
Encouraging Sustainability and Innovation: Green Banking Practices Growing in Indonesia
Authors: Khaer Misbakhul , Anwar Saiful
Published: December 2023

This article examines developing green banking practices in Indonesia, intending to encourage sustainability and innovation in the banking sector. Green banking is an approach that integrates environmental and social factors in banking operations to reduce negative impacts on the environment and increase contribution to sustainable development. The method used is a library with a descriptive approach. The findings in this study indicate that green banking or environmentally friendly banking has a significant role in creating a clean and sustainable banking environment. By adopting green banking principles, banks can better manage environmental risks, increase environmentally friendly financing portfolios, and implement sustainable business practices. In addition to direct benefits such as reducing credit risk and improving asset quality, green banking can also potentially increase corporate value and bank reputation in the eyes of the public and investors. To encourage the implementation of green banking, banks in Indonesia need to comply with relevant regulations and continue to promote environmentally sound practices. Thus, green banking and green banking can become a potent symbol of ecological awareness worldwide.