bluuebunny/crossref_metadata_2025 huggingface dataset:
Worldwide prevalence of molar-incisor hypomineralization: A literature review
Authors: Navarro Norailys Pérez , Buldur Burak
Published: May 2024

Molar-incisor hypomineralization (MIH) is a qualitative enamel defect with a multifactorial etiology, affecting at least one permanent first molar and often associated with permanent incisors and other teeth. MIH is prevalent worldwide, particularly among children under 10 years of age. However, its prevalence rates vary significantly even within the same country. This study aimed to determine the global prevalence of MIH from 1987 to 2023, focusing on children aged 3 to 18 years, using the 2003 EAPD classification. A comprehensive literature review was conducted using PubMed, MEDLINE, CENTRAL, Web of Science, SciELO, LILACS, and Google Scholar, covering studies from 1987 to July 2023 that included sample sizes of more than 1,000 children. A total of 80 studies met the inclusion criteria, with most participants aged between 6 and 12 years. Of these studies, 69 (86.2%) utilized the 2003 EAPD classification. Globally, 17,980 children out of 179,800 examined presented MIH, resulting in a prevalence of 9.4%. Regional prevalence varied: in Asia, 8,812 out of 81,954 children (10.7%) had MIH; in Africa, 344 out of 6,904 children (4.9%); in America, 2,193 out of 12,324 children (17.7%); and in Europe, 6,631 out of 90,042 children (7.3%). The American region reported the highest prevalence of MIH at 17.7%, while Europe and Asia showed similar rates close to the global prevalence (7.3% and 10.7%, respectively). Africa reported the lowest prevalence at 4.9%, but the number of studies conducted there was limited. Overall, MIH has a moderate global incidence with significant regional variations.
IMPLEMENTASI AJARAN TAMANSISWA TRI N (NITENI, NIROAKE, NAMBAHI) DALAM PEMBELAJARAN IPS MENGGUNAKAN MEDIA TEKA-TEKI SILANG
Authors: Ismawati Dwi , Maylamirsyah Muhammad Rizky , Zulfiati Heri Maria
Published: May 2024

Penelitian ini bertujuan meningkatkan keaktifan peserta didik pada muatan mata pelajaran IPS kelas V SD Negeri Godean 1 tahun pelajaran 2022/2023 dengan menggunakan media pembelajaran Teka-Teki Silang (TTS) berbasis ajaran Tamansiswa Tri N yaitu niteni, nirokake, nambahi. Jenis penelitian ini adalah penelitian deskriptif kualitatif. Penelitian ini dilaksanakan pada bulan Mei 2023. Subjek penelitian adalah peserta didik kelas VB SD Negeri Godean 1 berjumlah 31. Teknik pengumpulan data yang digunakan meliputi teknik observasi dan rubrik dokumentasi.. Dokumentasi dilakukan dengan cara mengambil foto pada saat pembelajaran berlangsung. Data hasil penelitian dianalisis secara deskriptif kualitatif. Hasil penelitian menunjukkan bahwa penggunaan media pembelajaran Teka-Teki Silang (TTS) berbasis ajaran Tamansiswa Tri N dapat meningkatkan keaktifan peserta didik. Hal ini tercermin dalam pelaksanaan pembelajaran yang mendorong siswa untuk aktif dan mengeksplorasi diri. siswa memperoleh pengalaman langsung dan bermakna.
¿Cómo nos une el nopal a los hispanos que vivimos en el Valle del Río Grande de Texas? Teresa Feria Arroyo
Authors: Feria Arroyo Teresa
Published: May 2024

“Le falta un grado para ser carne” solía decir mi papá cuando estábamos comiendo nopal. Innumerables los platillos que mis abuelas cocinaban con él. Tradición culinaria y medicinal que data de tiempos prehispánicos y que aún se pasa de generación en generación en la cultura mexicana. Con sus grandiosas adaptaciones ecológicas, propiedades medicinales, sabores y colores, el nopal es más que una planta—representa tradiciones, cultura, religión, y en una sola palabra, a toda una nación, pues es uno de los símbolos más importantes en México: ¡se encuentra al centro de nuestra bandera nacional! Tan fuerte es la influencia del nopal en la cultura mexicana, que en cualquier lugar geográfico en donde haya un mexicano, habrá una historia que contar acerca del nopal.
ANALISIS PERKEMBANGAN KURIKULUM DI INDONESIA: MASA LALU, KINI, DAN MASA DEPAN
Authors: NASIR MUHAMMAD , MUHAMMAD MUHAMMAD
Published: May 2024

This research aims to describe the development of the educational curriculum in Indonesia since the Old Order (1945) until now the existence of an independent curriculum. In this research the method used by the method used in this research is library research with data obtained from books, journals, articles, related documentation. As time goes by, the curriculum also develops according to the needs of society. The curriculum has an important role in education because it is the cause of the increase and decrease in education in Indonesia. With the development of the curriculum, education in Indonesia will increasingly develop. The independent curriculum is an innovation in the world of education that allows students to be more free to determine their learning path according to their individual interests and potential. The library research method used in this study allows researchers to obtain relevant and up-to-date information related to curriculum developments in Indonesia. This shows that the curriculum is not only a formal rule in the world of education, but also an important instrument in improving the overall quality of education. Thus, it is important for the government and stakeholders in the education sector to continue to develop the curriculum so that it can meet the demands of ever-changing times.
ABSTRACTPenelitian ini bertujuan untuk mendeskripsikan perkembangan kurikulum pendidikan yang ada di Indonesia sejak masa orde lama (tahun 1945) sampai saat ini adanya kurikulum merdeka. Dalam penelitian ini metode yang digunakan oleh metode Metode yang digunakan pada penelitian ini penelitian kepustakaan dengan data didapatkan dari buku-buku, jurnal, artikel, dokumentasi yang terkait. Seiring dengan perkembangan zaman kurikulum pun ikut serta berkembang sesuai dengan apa yang dibutuhkan oleh masyarakat. Kurikulum memiliki peran penting bagi pendidikan karena menjadi penyebab meningkat dan menurunnya pendidikan di Indonesia. Dengan adanya perkembangan kurikulum, maka pendidikan di Indonesia pun akan semakin berkembang. Kurikulum merdeka adalah sebuah inovasi dalam dunia pendidikan yang memungkinkan siswa untuk lebih bebas menentukan jalannya belajar sesuai dengan minat dan potensi masing-masing. Metode penelitian kepustakaan yang digunakan dalam studi ini memungkinkan peneliti untuk mendapatkan informasi yang relevan dan terkini terkait dengan perkembangan kurikulum di Indonesia. Hal ini menunjukkan bahwa kurikulum tidak hanya sebagai aturan formal dalam dunia pendidikan, tetapi juga sebagai instrumen penting dalam meningkatkan mutu pendidikan secara keseluruhan. Dengan demikian, penting bagi pemerintah dan para pemangku kepentingan dalam bidang pendidikan untuk terus mengembangkan kurikulum agar dapat memenuhi tuntutan zaman yang terus berubah.
How to measure the efficiency of terrestrial carbon dioxide removal methods
Authors: Egerer Sabine , Falk Stefanie , Mayer Dorothea , Nützel Tobias , Obermeier Wolfgang , Pongratz Julia
Published: May 2024

Abstract. The climate mitigation potential of terrestrial carbon dioxide removal (tCDR) methods depends critically on the timing and magnitude of their implementation. In our study, we introduce different measures of efficiency to evaluate the carbon removal potential of afforestation/reforestation (AR) and bioenergy with carbon capture and storage (BECCS) under the low-emission scenario SSP1-2.6 and in the same area. We define efficiency as the potential to sequester carbon in the biosphere in a specific area or store carbon in geological reservoirs or woody products within a certain time. In addition to carbon capture and storage (CCS), we consider the effects of fossil fuel substitution (FFS) through the usage of bioenergy for energy production, which increases the efficiency through avoided CO2 emissions. These efficiency measures reflect perspectives regarding climate mitigation, carbon sequestration, land availability, spatio-temporal dynamics, and the technological progress in FFS and CCS. We use the land component JSBACH3.2 of the Earth System Model MPI-ESM to calculate the carbon sequestration potential in the biosphere using an updated representation of second-generation bioenergy plants such as Miscanthus. Our spatially explicit modeling results reveal that, depending on FFS and CCS levels, BECCS sequesters 24–158 GtC until 2100, whereas AR sequesters around 53 GtC on a global scale with BECCS having an advantage in the long term. For our specific setup, we find that BECCS has a higher potential in the South American grasslands and Southeast Africa, whereas AR is more suitable in Southeast China. Hence, our results reveal that the efficiency of BECCS to sequester carbon compared to ‘nature-based solutions’ like AR will depend critically on the upscaling of CCS facilities, replacing fossil fuels with bioenergy in the future, the time frame, and the location of tCDR deployment.
Parallel SnowModel (v1.0): a parallel implementation of a distributed snow-evolution modeling system (SnowModel)
Authors: Mower Ross , Gutmann Ethan D. , Liston Glen E. , Lundquist Jessica , Rasmussen Soren
Published: May 2024

Abstract. SnowModel, a spatially distributed snow-evolution modeling system, was parallelized using Coarray Fortran for high-performance computing architectures to allow high-resolution (1 m to hundreds of meters) simulations over large regional- to continental-scale domains. In the parallel algorithm, the model domain was split into smaller rectangular sub-domains that are distributed over multiple processor cores using one-dimensional decomposition. All the memory allocations from the original code were reduced to the size of the local sub-domains, allowing each core to perform fewer computations and requiring less memory for each process. Most of the subroutines in SnowModel were simple to parallelize; however, there were certain physical processes, including blowing snow redistribution and components within the solar radiation and wind models, that required non-trivial parallelization using halo-exchange patterns. To validate the parallel algorithm and assess parallel scaling characteristics, high-resolution (100 m grid) simulations were performed over several western United States domains and over the contiguous United States (CONUS) for a year. The CONUS scaling experiment had approximately 70 % parallel efficiency; runtime decreased by a factor of 1.9 running on 1800 cores relative to 648 cores (the minimum number of cores that could be used to run such a large domain because of memory and time limitations). CONUS 100 m simulations were performed for 21 years (2000–2021) using 46 238 and 28 260 grid cells in the x and y dimensions, respectively. Each year was simulated using 1800 cores and took approximately 5 h to run.
Hydrological response of Andean catchments to recent glacier mass loss
Authors: Caro Alexis , Condom Thomas , Rabatel Antoine , Champollion Nicolas , García Nicolás , Saavedra Freddy
Published: May 2024

Abstract. The impacts of the accelerated glacier retreat in recent decades on glacier runoff changes are still unknown in most Andean catchments, increasing uncertainties in estimating water availability. This particularly affects the outer tropics and Dry Andes, heavily impacted by prolonged droughts. Current global estimates overlook climatic and morphometric disparities, which significantly influence model parameters, among Andean glaciers. Meanwhile, local studies have used different approaches to estimate glacier runoff in a few catchments. Improving 21st-century glacier runoff projections relies on calibrating and validating models using corrected historical climate inputs and calibrated parameters across diverse glaciological zones. Here, we simulate glacier evolution and related runoff changes between the periods 2000–2009 and 2010–2019 across 786 Andean catchments (11 282 km2 of glacierized area, 11° N to 55° S) using the Open Global Glacier Model (OGGM). TerraClimate atmospheric variables were corrected using in situ data, getting a mean temperature bias by up to 2.1 °C and enhanced monthly precipitation. Glacier mass balance and volume were calibrated, where melt factor and the Glen A parameter exhibited significant alignment with varying environmental conditions. Simulation outcomes were validated against in situ data in three documented catchments (with a glacierized area > 8 %) and monitored glaciers. Our results at the Andes scale reveal an average reduction of 8.3 % in glacier volume and a decrease of 2.2 % in surface area between the periods 2000–2009 and 2010–2019. Comparing these two periods, glacier and climate variations have led to a 12 % increase in mean annual glacier melt (86.5 m3 s−1) and a decrease in rainfall on glaciers of −2 % (−7.6 m3 s−1) across the Andes, with both variables comprising the glacier runoff. We confirmed the utility of our corrected regional simulations of glacier runoff contribution at the catchment scale, where our estimations align with previous studies (e.g., Maipo 34° S, Chile) as well as provide new insights on the seasonal glaciers' largest contribution (e.g., La Paz 16° S, Bolivia) and new estimates of glacier runoff contribution (e.g., Baker 47° S, Chile).
Citations in Wikipedia for understanding research reach
Authors: Smith Denise , McKinnell Jennifer , Young Jack
Published: May 2024

Objective: Wikipedia is the most frequently accessed online health information resource and is well positioned as a valuable tool for public health communication and knowledge translation. The authors aimed to explore their institution's health and medical research reach by analyzing its presence in Wikipedia articles.
Methods: In October 2022, a comprehensive database search was constructed in PubMed to retrieve clinical evidence syntheses published by at least one author affiliated with McMaster University from 2017 to 2022, inclusive. Altmetric Explorer was queried using PubMed Identifiers and article titles to access metadata and Wikipedia citation data. 3,582 health evidence syntheses from at least one McMaster University affiliated author were analyzed.
Results: Six percent (n=219) of health evidence syntheses from the authors' institution were cited 568 times in 524 unique Wikipedia articles across 28 different language editions. 45% of citations appeared in English Wikipedia, suggesting a broad global reach for the institutions' research outputs. When adjusted for open access publications, 8% of McMaster University's health evidence syntheses appear in Wikipedia.
Conclusion: Altmetric Explorer is a valuable tool for exploring the reach of an institution's research outputs. Isolating Altmetric data to focus on Wikipedia citations has value for any institution wishing to gain more insight into the global, community-level reach of its contributions to the latest health and medical evidence.
Kumar Bağımlılığı ile Dikkat Eksikliği ve Hiperaktivite Bozukluğu ve Uyku Kalitesi Arasındaki İlişkinin İncelenmesinde Şemaların Aracı Rolü
Authors: DEMİRDÖĞEN Buket
Published: May 2024

The aim of our study is to examine the Mediating Role of Schemas in Examining the Relationship Between Gambling Addiction, Attention Deficit and Hyperactivity Disorder and Sleep Quality.The sample of this study consists of 384 adults, men and women between the ages of 18-45, residing in Turkey. The number of female participants is 197 and male participants are 187. Five scales were used to reach the desired data. These; Personal Information Form, Young Schema Scale Short Form-3, South Oaks Gambling Screening Inventory, Adult Attention Deficit and Hyperactivity Disorder Self-Report Scale and Pittsburgh Sleep Quality Scale. Information was collected through these inventories. It was determined that there was a positive and statistically significant correlation between SOCTT scores, ASRS general scores and subscale Attention Deficit, Hyperactivity/impulsivity scores and PSQI scores. Young Schema Scale scores predict ASRS, SOKTT and PSQI scale scores. As a result of the research, it was found that there was a positive relationship between gambling addiction, attention deficit hyperactivity disorder and sleep quality in adults and that schemas predicted these. Keywords: Gambling Addiction, Maladaptive Schemas, Attention Deficit, Hyperactivity/Impulsivity, Sleep Quality
Neobjavljeni rukopisi Slavka Goldsteina u Arhivu Srba u Hrvatskoj
Authors: Pavelić Boris
Published: May 2024

Članak opisuje i kontekstualizira više raznovrsnih tekstova pisca, publicista i izdavača Slavka Goldsteina pohranjenih u Fondu Goldstein, dijelu osobne arhive Slavka Goldsteina koju je 2016. godine pohranio u Arhivu Srba u Hrvatskoj. Članak opisuje skice, nacrte i planove za poglavlja nekoliko knjiga koje je Goldstein planirao i započinjao pisati, ali i nekoliko dovršenih poglavlja koja još nigdje nisu objavljena i koja dosad nisu bila poznata javnosti. U članku se opisuje i dio javnosti zanimljivih dnevničkih zapisa koje je Goldstein unosio kroz više desetljeća, od pedesetih godina prošlog stoljeća naovamo. Svi su ti tekstovi iznimno dragocjeni za istraživanje lika i djela velikog intelektualca, a veći dio njih svakako je vrijedan i naknadnog, posthumnog objavljivanja.
Problem of Pipe Scaling in the Distribution Network of the Mbour 2 Thies District
Authors: NDAO Saidou , Seydi BA Famara , Diop THIOUNE Papa Babacar
Published: May 2024

The purpose of this work is to contribute to the improvement of the district's drinking water supply system in order to guarantee sufficient quantities of water by 2051. We presented the study area, made a diagnosis of the drinking water network before making a proposal for a solution. The diagnosis of the network was made by calculating the current water needs of the population using Excel software and by simulating the operation of the network on Epanet. The latter showed that the populations of the Mbour 2 district face enormous problems of access to drinking water. And these problems are due to the reduction in diameters caused by the deposition of pie in the pipes. The needs assessment allowed us to estimate future consumption at 1.098 m3/s in 2051 while drilling production is at 3.064 m3/s. From there we see the drilling can feed Mbour 2 if there is not a possible problem So it is imperative to make a limestone treatment to protect the pipes and have good drinking water. Faced with this situation. we have created a network network of Mbour 2 with the new castle R7 bis which receive fresh water from Lake Guiers in order to have a perfect dilution and also propose a renewal of the clogged pipes by choosing larger diameters. The results of the simulation with the use of the PICCOLO software showed pressure values greater than 2 bar in the Mbour 2 network which translate into a continuous availability of water without pressure drop.

Keywords: Scaling. Drinking water supply. Mbour 2. Pressure. Simulation
RANKL, OPG, and BALP Levels in Gingival Crevicular Fluids as a Biomarker on Alveolar Bone Remodeling in the Retention Phase of Orthodontic Treatment
Authors: Maulana Hafiedz , Hikmah Nuzulul
Published: May 2024

Orthodontic treatment aims to correct malocclusion by applying orthodontic equipment that can transmit mechanical forces to the teeth, resulting in orthodontic tooth movement (OTM). The main problem in this treatment is the occurrence of relapse, so the post-treatment retention phase is critical to prevent relapse. Measuring potential biomarkers of alveolar bone remodeling is a proposed innovation in identifying alveolar bone deposition and resorption in the retention phase. This review highlights the role of essential biomarkers in alveolar bone formation, namely levels of bone alkaline phosphatase (BALP) and osteoprotegerin (OPG) and alveolar bone resorption, namely receptor activator of nuclear factor kappa-B ligand (RANKL) through gingival crevicular fluids. This level measurement is non-invasive and can predict the rate of alveolar bone remodeling to help determine the success of orthodontic treatment.

Keywords: Alveolar bone remodeling, Biomarker, Orthodontic tooth movement, Retention phase
Oles Pardabaitak in Pakpak Ethnic: A Semiotics Study
Authors: Sirait Mei Elisabet , Sinulingga Jekmen , Barus Asni
Published: May 2024

This article is entitled “Oles Pardabaitak in Pakpak Ethnic: A Semiotics Study”. This study aims to (1). describe the motifs contained in the function of the pardabaitak of the Pakpak Batak ethnic group. (2). describe the function of the motifs contained in the oles pardabaitak of the Pakpak Batak ethnic group. (3). describe the symbol value of the motifs contained in the Pakpak Batak ethnic pardabaitak oles. The theory used in analyzing the data is theory of semiotics put forward by Charles Sanders Pierce. The method used in this research is descriptive qualitative research with structured interview observation. Based on the results of research and discussion, the author found that there are 7 forms motif values of kelang pajonggir, gerga, epen buaya, gatip dabbal, sirat, rambu, sisi. In addition, there are 10 equipment pamapan, lili, pagabe, baliga, totar, pangihunan, hatolungan, patibohonan, sorha, panaitan. And the value of motif found in this study id the value of social solidarity, mutual cooperation, courtesy, harmony, discipline, welfare and gratitude.

Keywords: oles pardabaitak, sthnic batak pakpak,motif,semiotic.
Design and Fabrication of a 300kg Capacity Fish Oven
Authors: Raji N.A. , Kuku R.O. , Ajetunmobi Q.A.
Published: May 2024

It is widely assumed that simply scaling up existing fish oven designs meets the drying efficiency, quality and safety requirements of the growing demands of fish products. However, this may not be the most effective solution for large scale fish growers due to various logistical and operational challenges. The existing empirical support for the construction and performance evaluation of large sized ovens remains insufficient. An electric-gas powered fish oven was developed as part of a project to enhance fish smoking methods and solve energy consumption, and scalability issues faced by large scale fish growers. According to performance assessments, the drying chamber receives a noteworthy heat input from the electric source. The efficiency of the gas source was 63%, that of the electric source was 79%, and the efficiency of the gas-electric mode was 84%. The drying pace and the percentage weight loss of the fish samples were found to be significantly influenced by the heat source and the kind of fish. Because of its functional status, this study found that Tilapia fish dried more quickly than Catfish. However, compared to utilizing solely the electric source, it was found that employing the gas dryer shortened the drying time by one hour. These improvements have the potential to improve the efficiency of fish processing and decrease losses that occur after harvest. The oven was constructed using locally available materials. After testing, it was determined that the constructed oven operates with high performance and effectiveness.

Keywords: electric oven; gas oven; heating element; large oven; Design.
Spontaneous haemopneumothorax: A rare illness with unusual presentation and aetiology
Authors:   Basildon University Hospital, Mid and South Essex NHS Foundation Trust, Nether Mayne, Basildon, Essex, United Kingdom., El Damasy Mohamed Hussein , Ali Khan Arshad ,   Basildon University Hospital, Mid and South Essex NHS Foundation Trust, Nether Mayne, Basildon, Essex, United Kingdom., Ba-Dheeb Ahmed ,   Basildon University Hospital, Mid and South Essex NHS Foundation Trust, Nether Mayne, Basildon, Essex, United Kingdom., El Shaigi Mootaz ,   Basildon University Hospital, Mid and South Essex NHS Foundation Trust, Nether Mayne, Basildon, Essex, United Kingdom.
Published: May 2024

Background: In the acute context, spontaneous haemopneumothorax is a life-threatening condition that can occur without any radiological abnormalities and may be caused by thoracic vascular aberrancy. Case presentation: We discuss the case of a healthy 24-year-old man who visited our emergency department complaining of left sided chest pain and shortness of breath. He had previously visited a tertiary care facility’s emergency department for the same complaint the same day and had been released following a normal CXR and blood tests. His repeat x-ray chest revealed hemopneumothorax in our department. His CT scan further revealed ruptured aberrant blood vessel which was medial to the left subclavian artery. Conclusion: This example illustrates the importance of maintaining a high index of suspicion when evaluating patients who present with chest pain and shortness of breath. There must be a repeat patient examination and x-ray chest for patients who experience prolonged chest discomfort, despite normal first investigations. If the patient’s repeat x-ray’s indicate hemopneumothorax, this should leave one to ponder the likelihood that thoracic bleeding could result from vascular aberrancy as a cause.
Using Speech Recognition Algorithms to Improve Listening Training Effects in Foreign
Authors: Jing Zhang
Published: May 2024

Background: Understanding is a crucial element for accurate communication during foreign language learning. The learning results of conventional teaching strategies are often poor due to their very low preparation and response. There are more practicalities and advantages to speech recognition technology, which provides immediate responses, but its incorporation requires cautious study to safeguard its practicality and advantages. Method: In this paper, we gather speech signal datasets from 120 learners and divide them equally into two groups such as baseline and study group. In baseline group we provide a traditional technique but in study group, we proposed a new technique named artificial rabbit optimized hidden markov model (AR-HMM). Additionally, we made an analysis with proposed technique to improve the listening training effect in foreign English language. Result: As a result, first we used nine questionnaires to examine the participant's experience. We evaluate the performance of the proposed technique and compare it with an existing technique based on the parameters such as accuracy (95%), involvement (low (15%), medium (59%) and high (93%)), efficiency (90%) and time (14hr). Conclusion: When compared to the existing technique, our proposed technique has superior performance than others to improve listening training effect in foreign English language.
Biomechanics of athlete movement: kinematic analysis and injury prevention
Authors: Wenqing Chang
Published: May 2024

Anterior cruciate ligament (ACL) injuries are prevalent and movement patterns linked to an increased risk of ACL damage can be seen in youngsters under the age of 10. Though the processes underlying these programs are mostly unclear, prevention systems have been demonstrated to lower rates of injury. Biomechanical alterations following injury prevention programs in children have not been extensively studied. In this study, we examine the manner in which modifications in bio-mechanical risk variables for an ACL injury in preadolescent female soccer players are affected by the F-MARC 11+ injury-preventing warm-up program. Our hypothesis was that training would enhance peak knee valgus moment (PKVM), the key risk factor for ACL injuries. Other kinematic and kinetic factors connected to ACL injury were also investigated. An intervention group and a control group were created from a total of 62 athletes who were recruited from soccer teams. F-MARC 11+ in-season sessions were attended by the intervention group fifteen times. Motion capture information from the pre and post-season was gathered while doing activities such as double-leg leap, single-leg jump, unanticipated cutting and preplanned cutting. A biomechanical modeling system called OpenSim was used to determine the angles and moments of the lower extremity joints. According to the results of the experiment, during the double-leg leap, athletes in the group that got intervention had a lower PKVM than those in the control group. This study suggests ways to improve injury prevention programs, especially for single-leg and cutting jobs, to reduce other ACL risk factors.
A Supervised Hybrid DNN for Real-time Intrusion Detection in Firewalls
Authors: Deebalakshmi Ramalingam
Published: May 2024

With networking infrastructure and communication technology developments, Internetworking has become inalienable to everyone's day-to-day lives. The volume of utilization of computer networking has increased due to various factors that have enabled the modernization of cyber-physical systems, which have a remarkable effect on the networks' security. Securing the cyber-physical systems has become imperative, as internet utilization has reached record levels in these pandemic times. Various experimental studies have been performed in the Intrusion Detection System using ensemble machine learning algorithms on benchmark datasets. This article proposes a hybrid approach for a Network Intrusion Detection system using an ensemble Deep Neural Network (DNN). The proposed architecture classifies the normal and intruder packets from the real-time network packet traces. The architecture is optimized for analyzing the packets in an online network that can instantaneously produce the packet data classification result. The proposed DLNN is evaluated with real-time network traces and benchmark datasets to prove concept reliability, and scalability measures. The F1-score for the various ensemble Machine Learning Techniques such as Decision Tree Classifiers, Random Forest Classifier, and XG Boost are in the range of 87%. Our proposed method produces an F1-score of 94.8% for the real-time packet traces.
Cervical Cancer Detection Using Gabor Featured Convolutional Neural Networks
Authors: D. Baskar
Published: May 2024

Cervical cancer is identified as the most killing disease in women patients from past two decades. Even though various medical treatments are available at present, its death rate is not reduced. Hence, various computational and automated methods are proposed to improve the medical treatments as early as possible at an earlier stage. From the past decades, machine and deep learning methods are used for detecting the cervical cancer images. The deep learning algorithms provide superior results for the cervical cancer detection system. Therefore, Gabor Featured Convolutional Neural Networks (GFCNN) is proposed to detect the cancer regions in cervical images. It proposes Cervical Cancer Detection System (CCDS) is significantly analyzed by applying the methodologies on the cervical images which are available in Guanacaste Dataset. The proposed CCDS is constructed with the following modules Gabor transforms, Feature computations, Classification and Segmentation. The Gabor transform transforms the pixel coordinates and then intrinsic variation features are determined. These features are classified by the GFCNN classifier.  The GFCNN method is tested on the set of cervical images in Guanacaste Dataset and its performance is analyzed with respect to precision, recall and cancer accuracy rate. The proposed CCDs method achieved 98.42% of PN, 98.54% of RL and 98.45% of AY. The results of GFCNN method for cervical cancer detection and segmentation system are compared with other state-of-the-art methods.
A Joint Inversion Method Algorithm for T2-Pc two Dimensional NMR based on Logistic Functions
Authors: Jing Su
Published: May 2024

Data processing is a key step in the analysis of nuclear magnetic resonance (NMR) experimental data, and efficient and accurate computer inversion algorithms are the core of the T2-Pc two-dimensional NMR experiment. T2-Pc two-dimensional NMR experiment is an advanced experimental method that characterizes reservoir connectivity through two dimensions: relaxation time and capillary pressure, and can obtain irreducible water saturation under different pressure differences. However, the algorithm currently used for T2-Pc two-dimensional spectrum inversion uses a mutation kernel function, resulting in low accuracy of calculation results. This paper uses the Logistic function as the two-dimensional inversion kernel function, rewrites the inversion algorithm, and obtains more accurate inversion results. Numerical simulations have proven that the T2-Pc two-dimensional map obtained by this method not only has higher resolution, but also has greater applicability in the case of low signal-to-noise ratio and a small number of centrifugal echo groups. Practice has found that the proposed method can reduce the number of centrifugations during the experiment and significantly improve the efficiency of T2-Pc two-dimensional nuclear magnetic resonance experiments.
Using Affine Arithmetic to Design a Controller for Large Uncertain System
Authors: Boyi Venkata Ramana
Published: May 2024

This study presents a approach for creating the supervisor of expansive uncertain systems. The Controller for a particular high order system is designed using a reduced order model. The numerator and denominator polynomial in the suggested reduction approach is derived using modified polynomial differential method. A lower order model with least ISE optimization is obtained. Assuming that the initial high-order system is stable, the proposed approach guarantees the stability of the streamlined model. Through With reference to the original high-order systems, a PID controller is created for the suggested low-order model. In order to explain the method's efficiency, a few numerical examples were taken into consideration. It has been demonstrated that applying Control from the lower order model to the higher order system is improved and the controlled system's performance. Common numerical illustrations seen in the literature have been used to test the method, and the results show that it works satisfactorily.
Cruciality of securing user data due to increasing Digital Learner traffic over the Internet using Adversarial Neural Cryptography
Authors: Basil Hanafi
Published: May 2024

In recent years, the whole globe has been afflicted with a devastating viral virus known as COVID-19 that has interrupted the operations of every organization. COVID-19 has significantly impacted education, causing it to struggle to function as smoothly as before. However, it has also ushered in a new era of e-learning, necessitating the provision of suitable facilities for users and learners. The growing number of users has led to an increase in digital threats to vulnerable systems on the widespread web of devices. The need for more diverse, versatile, and robust techniques is rising day by day, and Adversarial Neural Cryptography has the potential to be in the Line. The notions of Machine Learning and Digital Securities are being implemented in numerous manners for which ANC can perform the role of new technology to secure communication lines of a Digital learner from several learning platforms over the Cloud. This paper explores the possible threats, reasons, and potential steps taken to secure the user of the Digital Learning Platforms by various organizations. In extension to this, the concept of Adversarial Neural Cryptography is also introduced in the light of E-Learning Platforms with a conceptual model to secure communication.
Voting Based VGG-16 for Feature Selection and Classification of The Brain Tumor Types
Authors: B. Thimma Reddy
Published: May 2024

Brain tumors, especially malignant ones, can be life-threatening if not detected and treated early. Identifying benign tumors, such as Meningiomas or Pituitary tumors, enables preventive measures and long-term monitoring to detect any changes in tumor size or behavior. This ensures timely intervention if needed. ML related methods for analyzing types of brain tumors have made significant advancements but brain tumour records often have a mismatch of classes, which means that some kinds of tumours are much less common than others. This may result in models that are biased and work well for the majority of the class but not so well for the minority class. Latest research techniques have focused on deep learning approaches. Identifying brain tumor types using neural networks is a complex but promising approach in medical image analysis. Combining NN with ML techniques is what the suggested model does to get to the exact type of brain tumour. In this regard, the proposed model has extracted the features from the tuned model of VGG-16 and after extracting the features from the network to further classify the stage, the model has applied ensemble voting mechanism.
Improving Diabetes Detection Using Machine Learning Random Forest Algorithm
Authors: Amit Dubey
Published: May 2024

Due to current lifestyle most of the peoples suffering from numerous diseases, heart disease, diabetes, obesity, etc. diabetes is one of the disease is found at an every age group of peoples nowadays. Here discussion is based on diabetes disease detection at an early stage and finding the pattern or recognizing diseases in patients. Artificial intelligence techniques very popular in health care sector, AI based techniques such as machine learning and deep learning techniques are having very tremendous growth in health care and information security sectors  for providing best results than traditional techniques.   In this paper, we discuss comparative performance analysis between different machine learning techniques among them random forest classifier gives best performance than other techniques.
An Optimized Fraud Identification Framework Using DCNN For Wireless Communication
Authors: D Nagaraju
Published: May 2024

Convolution Neural Network (Cnn) Is The Powerful Framework To Solve The Lot Of Issues Of Link Detection In Unlabeled Wireless Communication. Last Few Decades Lot Of Fraud Detection Strategies Has Been Projected Bit That All Are Inefficient For Detecting The Frauds. Therefore, The Great Need For Effective And Fast Fraud Detection Scheme With Higher Detection Accuracy. In This Research, Spider Based Convolution Neural Network (Sbcnn) Model To Detect The Frauds In The Wireless Communication. Initially, Create The Wireless Channel To Transmit The Messages From Source To Destination.  Here, The Fraudulent Activities Are Detected Based On The Packet Delivery Time Of The Source To Destination Of The Wireless Medium. Moreover, The Proposed System Implementation Is Done In The Matlab Frame Work Additionally; The Obtained Results Are Validated With Prevailing Methods For Evaluating The Efficiency Of The Proposed Sbcnn Approach.
Wireless communication fraud poses a significant threat as unauthorized use of services, compromising the security of cellular networks and infrastructure. With the surge in online services and users, the reliance on wireless communication for high-speed internet applications has grown. Despite the convenience brought by technologies like net banking, credit cards, and online services, financial frauds and unauthorized payments remain substantial risks. The intricate nature of wireless communication, illustrated in Fig. 1, where devices use signals between source and destination nodes, leads to challenges like network interference and loss rate, often exacerbated by fraudulent activities. Numerous techniques, including Artificial Intelligence (AI), hybrid ensemble models, oversampling, and machine learning, have been explored but haven't provided satisfactory solutions. In this study, an optimization-assisted intelligent framework is proposed to maximize communication performance, addressing the limitations of existing approaches. The subsequent sections analyse related research, identify issues with conventional methods, elaborate on the functioning of the proposed framework, discuss results, and conclude with research inferences
Executive Compensation and the Three-Dimensional Reference Framework: Insights from Data Analysis of Chinese Publicly Traded Firms
Authors: Jin Jiahui
Published: May 2024

This paper examines the impact of different reference points on executive compensation of Chinese listed companies by applying three dimensional reference point theory. Drawing on a panel data of 1,236 non-financial Chinese listed companies over the period of 2008 to 2012, it provides evidence that the three dimensions which are composed of external, internal, and time are all positively and significantly related to the average cash compensation of the top three highest paid executives in China. The research also finds a significantly positive relationship between the joint effect of these dimensions measured by factor and the top three executive pay level. The result suggests that the Chinese listed companies usually refer to the pay level of their peer groups, other executives within firms, and previous period to design the compensation packages for their top executives. It finds that all three dimensions comprising external, internal and time are significantly and positively related to the average cash compensation of the top three highest paid executives. The paper further examines the relationship between the three dimensional reference points and executive compensation, and reveals other determinants other than performance, thus contributing to the discussion on the determinants of executive compensation in the corporate governance literature and important policy implication for Chinese authorities.
The Influence of Advanced Vocational Education and Training on the Skill Development of Beginning Teachers: A Quantitative Assessment
Authors: Jiahui Jin
Published: May 2024

This empirical study investigated the impact of advanced vocational education and training (AVET) on the skill development of beginning teachers in Hefei City, Anhui Province, China. A sample of 450 novice teachers from twenty AVET institutes in Hefei City participated in the survey. Quantitative data was collected using a structured questionnaire and analyzed employing statistical techniques to test hypotheses and fulfill research objectives. The findings revealed that AVET has a significant positive influence on the skill development of beginning teachers in Hefei City. The quality of teaching and learning resources substantially impacts novice teachers' skill growth. Furthermore, the study found a significant relationship between the quality of infrastructure provided by AVET institutes and the skill development of beginning teachers. The results suggest that AVET and its infrastructure have meaningfully contributed to the skill enhancement of novice teachers in Hefei City, China. This research fills a gap in the literature by focusing on the role of AVET in the skill development of beginning teachers in the Chinese context. The findings have implications for policymakers and AVET institutes in improving the quality of vocational education to foster the professional growth of novice teachers.
A Ratio Estimator for the of Mean of a Sensitive Variable in the Presence of Lack of Trust in RRT and Measurement Errors
Authors: Gupta Sat
Published: May 2024

RRT Models, both binary and quantitative, have been used extensively in surveys that include sensitive questions. These models allow respondents to provide randomized or scrambled responses which can later be unscrambled at an aggregate level but not at individual level. This feature protects the respondent privacy during face-to-face surveys which sometimes become necessary to decrease non-response.

In this presentation we will focus on improving respondents’ trust in RRT methodology. We do so by allowing more scrambling options while maintaining the overall model quality. We will also discuss how we can take advantage of auxiliary information and account for measurement errors.
Utilização da espectroscopia no infravermelho próximo e calibração multivariada para determinação da composição nutricional de azevém
Authors: Rech Ângela Fonseca , Werner Simone Silmara
Published: May 2024

Em sistemas de produção baseados em pastagens, o conhecimento do potencial nutritivo das forrageiras é de grande importância para a tomada de decisão quanto à suplementação alimentar. Entretanto, as análises para avaliar a composição nutricional são dispendiosas. A espectroscopia no infravermelho próximo (NIRS) é um método rápido e econômico utilizado para quantificar os teores dos compostos orgânicos dos alimentos. No presente trabalho foram desenvolvidos modelos de calibração multivariada para a predição dos teores de proteína bruta (PB), fibra insolúvel em detergente neutro (FDN), fibra insolúvel em detergente ácido (FDA) e digestibilidade in vitro da matéria orgânica (DIVMO) do azevém utilizando a técnica NIRS, para serem utilizados em rotina laboratorial. O número de amostras utilizadas variou de 294 a 390, de acordo com o componente analisado. Os modelos foram selecionados utilizando o erro quadrático médio da predição (RMSEP), o viés, a razão de desempenho do desvio (RPD), a razão de intervalo de erro (RER) e coeficientes de determinação (R2) obtidos na validação externa. Para PB, FDN, FDA e DIVMO os modelos selecionados apresentaram os seguintes valores, respectivamente: R2 = 0,98; 0,94; 0,96; 0,91; RMSEP = 0,96; 1,35; 1,03; 1,58; viés = 0,21; 0,51; 0,70; 0,06; RPD = 6,33; 5,02; 4,08; 3,80; e RER = 26,33; 14,37; 14,61; 11,46. De acordo com as medidas de qualidade de ajuste obtidas, os modelos desenvolvidos para PB, FDN e FDA podem ser utilizados na rotina laboratorial para as análises dos valores nutricionais de azevéns. O modelo desenvolvido para DIVMO pode ser utilizado para triagens de azevéns em estudos de avaliação, seleção e melhoramento.
淺析《紅樓夢》中貴族文化
Authors: 陳宥吉 陳宥吉
Published: May 2024

在七十年代「回歸鄉土」的風潮下，文壇上也出現許多的鄉土作家和作品。而宋澤萊(1952-)的小說，似乎是在這個脈絡下，額外發展出的一個新面向的鄉土小說。在他的〈打牛湳村〉系列作品中，鄉土從背景走向了前景，訴說著就是以現實為描述的農村的故事。本論文探討了中國古典名著《紅樓夢》中貴族文化的身份和地位間的關係。透過對小說中角色、事件以及評註的分析，觀察階級結構如何反映和塑造當時社會的價值觀與貴族文化。歐麗娟教授之論文——〈論《紅樓夢》中人格形塑之後天成因觀——以「情痴情種」為中心〉指出，《紅樓夢》不僅展現了貴族階層的生活方式和思想，同時也描繪了其精神世界和內在衝突。本文進一步參照布赫迪厄之理論，藉以觀察身分與消費之關係，進而反思了當代對於傳統貴族文化的理解與詮釋。希望藉由《紅樓夢》的文本分析和理論探討，探究中國舊時代貴族文化及在當代文化中的意義。

 
Rezension von: Christmann, Helmut (Hrsg.), Quellen zur baden-württembergischen Landesgeschichte
Authors: Wunder Gerd , Christmann Helmut
Published: May 2024

Quellen zur baden-württembergischen Landesgeschichte. Ausgewählt und zusammengestellt von Helmut Christmann. Heidenheimer Verlagsanstalt 1971. 88 S. DM 5,80.
Rezension von: Hellwig, Herbert, Der Raum um Heilbronn
Authors: Schweizer Rolf , Hellwig Herbert
Published: May 2024

Herbert Hellwig: Der Raum um Heilbronn. Sein zentralörtliches Bereichsgefüge auf Grund der Stadt-Landbeziehungen unter besonderer Berücksichtigung der Entwicklung seit dem 18. Jahrhundert, dargestellt an Beispielen im Heilbronner Einflußgebiet höherer Stufe östlich des Neckars (Veröffentlichungen des Archivs der Stadt Heilbronn, 16). 248 S., 24 Tfl. DM 24,80.
Rezension von: Seubert, Josef, Untersuchungen zur Geschichte der Reformation in der ehemaligen freien Reichsstadt Dinkelsbühl
Authors: Wunder Gerd , Seubert Josef
Published: May 2024

Josef Seubert: Untersuchungen zur Geschichte der Reformation in der ehemaligen freien Reichsstadt Dinkelsbühl. (Historische Studien 420) Lübeck: Matthiesen 1971. 72 S. DM 15,-.
Rezension von: Glässner, Wilhelm (Hrsg.), Waiblingen in Vergangenheit und Gegenwart Bd. 3
Authors: Ulshöfer Kuno , Glässner Wilhelm
Published: May 2024

Waiblingen in Vergangenheit und Gegenwart. Beiträge zur Geschichte der Stadt. 3. Band (Hrsg. W. Glässner). Waiblingen 1971. 240 S.
Rezension von: Wendehorst, Alfred; Pfeiffer, Gerhard (Hrsg.), Fränkische Lebensbilder Bd. 4
Authors: Wunder Gerd , Wendehorst Alfred , Pfeiffer Gerhard
Published: May 2024

Fränkische Lebensbilder 4. Bd. Herausgegeben von Gerhard Pfeiffer (Veröffentlichungen der Gesellschaft für fränkische Geschichte VII A). Würzburg: Schöningh 1971. 269 S. Ill.
Rezension von: von Andrian-Werburg, Klaus, Kronburg
Authors: Wunder Gerd , Andrian-Werburg Klaus von
Published: May 2024

Klaus Freiherr von Andrian-Werburg: Kronburg, ein reichsritterschaftliches Territorium in Schwaben und seine Inhaber. Kempten: 1969. 153 S.