bluuebunny/crossref_metadata_2025 huggingface dataset:
Carbon isotope chemostratigraphy, geochemistry, and biostratigraphy of the Paleocene–Eocene Thermal Maximum, deepwater Wilcox Group, Gulf of Mexico (USA)
Authors: Sharman Glenn R. , Szymanski Eugene , Hackworth Rebecca A. , Kahn Alicia C. M. , Febo Lawrence A. , Oefinger Jordan , Gregory Gunnar M.
Published: September 2023

Abstract. The Paleocene–Eocene Thermal Maximum (PETM) represents the most
pronounced hyperthermal of the Cenozoic era and is hypothesized to have
resulted in an intensification of the paleohydrologic cycle, including
enhanced seasonality and increased sediment discharge to the coastal ocean.
Although the PETM has been widely documented, there are few records from
deposits that form the distal, deepwater components of large sediment-routing systems. This study presents new constraints on the stratigraphic
placement of the PETM in the deepwater Gulf of Mexico basin through
analysis of geochemical, carbon isotopic, and biostratigraphic data within a
∼124 m cored interval of the Wilcox Group. Biostratigraphic
and carbon isotopic data indicate that the PETM extends over ∼13 m based on acmes in the dinoflagellate Apectodinium homomorphum and calcareous nannoplankton
Rhomboaster cuspis as well as a ∼-2 ‰ shift in bulk organic δ13C values. A decrease in bioturbation and benthic foraminifera
suggests that a reduction in oxygen of Gulf of Mexico bottom waters and/or an
increase in sedimentation rates were coincident with the onset of the PETM. A
∼2 m lag in the depositional record separates the onset of
the PETM negative carbon isotope excursion (CIE) and deposition of a
5.7 m thick interval of organic-lean claystone and marlstone that reflects a
shut-off of the supply of sand, silt, and terrestrial palynomorphs to the
basin. We interpret deposits of the PETM in the deepwater Gulf of Mexico to
reflect the combined effects of increased erosional denudation and rising
sea level that resulted in sequestration of sand and silt near the coastline
but that allowed delivery of terrigenous mud to the deep sea. The similarity
of oceanographic changes observed in the Gulf of Mexico and Atlantic Ocean
during the PETM supports the inference that these water masses were
connected during latest Paleocene–earliest Eocene times. Although deposition
of typical Wilcox Group facies resumed during and after the PETM recovery,
an increased influx of terrestrial detritus (i.e., pollen, spores,
terrestrial organic debris) relative to marine dinoflagellates is suggestive
of long-lasting effects of the PETM. This study illustrates the profound and
prolonged effects of climatic warming on even the most distal reaches of
large (≥1×106 km2) sediment-routing systems.
The loess landscapes of the Lower Rhine Embayment as (geo-)archeological archives – insights and challenges from a geomorphological and sedimentological perspective
Authors: Lehmkuhl Frank , Schulte Philipp , Römer Wolfgang , Pötter Stephan
Published: September 2023

Abstract. Archeological and geoscientific research in loess landscapes remains
challenging due to erosional discordances and the relocation of sediments by
fluvial erosion and slope wash. The Lower Rhine Embayment (LRE) can serve as
a blueprint for archeological and paleoenvironmental research in loess
landscapes of Central Europe. The accumulation of wind-blown dust; paleosols
developed therein; and the archeological artifacts preserved in loess,
colluvial or alluvial sediments are evidence of the Pleistocene and Holocene
dynamics of the landscape. Geomorphologic processes in different
and specific relief positions must be considered different processes
that transform and relocate sediments and archeological remains. Besides aeolian
accumulation, erosion and deflation have also transformed the landscape of
the LRE. These include fluvial slope wash, gully formation, colluviation, and
periglacial processes such as solifluction, cryoturbation and the formation
of ice wedge pseudomorphs. In addition, other post-depositional processes,
including weathering and soil formation, modify the sedimentary record. In
light of the landscape evolution from more hilly landscapes to the flat,
agriculturally used terrain we see today, we highlight the relevance and
importance of different geomorphological and soil processes including their
impacts and challenges for archeological and geoscientific studies.
The EarthCARE Mission: Science Data Processing Chain Overview
Authors: Eisinger Michael , Marnas Fabien , Wallace Kotska , Kubota Takuji , Tomiyama Nobuhiro , Ohno Yuichi , Tanaka Toshiyuki , Tomita Eichi , Wehr Tobias , Bernaerts Dirk
Published: September 2023

Abstract. The Earth Cloud Aerosol and Radiation Explorer (EarthCARE) is a satellite mission implemented by the European Space Agency (ESA) in cooperation with the Japan Aerospace Exploration Agency (JAXA) to measure global profiles of aerosols, clouds and precipitation properties together with radiative fluxes and derived heating rates. The data will be used in particular to evaluate the representation of clouds, aerosols, precipitation and associated radiative fluxes in weather forecasting and climate models. The science data acquired by the four satellite instruments are processed on ground. Calibrated instrument data – level 1 data products – and retrieved geophysical data products – level 2 data products – are produced in the ESA and JAXA ground segments. This paper provides an overview of the data processing chains of ESA and JAXA and explains the instrument level 1 data products and main aspects of the calibration algorithms. Furthermore, an overview of the level 2 data products, with references to the respective dedicated papers, is provided.
Effects of soil moisture and surface heat fluxes on the South American Monsoon System over West-Central Brazil: an observational study
Authors: Nobre João Pedro , Gan Manoel , Vendrasco Éder Paulo
Published: September 2023

Abstract. This study evaluated the relationship between different surface hydrometeorological variables and rainfall during the wet period of the South American Monsoon System (SAMS). A climatological study was performed for 30 rainy periods of the SAMS between the years 1991–2021 over the Central-West region of Brazil (WCB) (20–10° S and 60–50° W). The European Centre for Medium-Range Weather Forecasts Reanalysis 5th/ERA5 was used to understand, under different soil moist conditions (dry, intermediate, and wet), the hydrometeorological patterns and their impacts on SAMS during the three stages of the wet period: the development (September-October-November, SON), maturity (December-January-February, DJF), and weakening (March-April-May, MAM) South American monsoon quarters. The results show that along with an increase (decrease) in rainfall during the rainy season, there is also a significant increase (decrease) in both surface and subsurface volumetric soil moisture (θ) for the wet (dry) soil condition periods. However, the surface heat flux composites showed that the latent heat fluxes to the atmosphere (Hl) significantly exceeds the climatology during the SAMS development quarters (SON) for the wet soil group. In contrast, for the dry soil group, the significant increase of Hl, compared to the climatology, over the WCB occurred only during the SAMS maturity quarters (DJF), representing, in this last case, a significant injection of latent heat and consequently delayed evaporation (EV P) compared to rainy periods with wet soil, due to the low soil moisture content and the prevalence of dry convection over WCB. Regarding the sensible heat fluxes (Hs), it was observed drier (wetter) soils tend to exhibit values above (below) the climatological mean throughout all stages of SAMS evolution over the WCB. The 2-m air temperature (T 2m) and planetary boundary layer height (P BLH) anomaly composites showed that for the wet (dry) soil group and with significant rainfall above (below) the climatological mean over the WCB, all evolution quarters were marked by a significant decrease (increase) in T 2m and P BLH anomalies. Regarding the mechanisms of direct feedback between surface variables and rainfall associated with the SAMS, significant direct correlations were also observed between the mean rainfall of the SAMS rainy season and the mean values of active days duration (Dad), Hl, Hs and the surface Soil Moisture Condition Index (SMCI1).
DEVELOPMENT OF OCEAN RENEWABLE ENERGY MODEL IN INDONESIA TO SUPPORT ECO-FRIENDLY ENERGY
Authors: Anggraini T. S. , Santoso C.
Published: September 2023

Abstract. Renewable energy is a solution for reducing environmental damage caused by greenhouse gas emissions from fossil fuels. Energy consumption in Indonesia involves sectors such as industry, households, transportation, and agriculture, which still heavily rely on non-renewable energy sources. Indonesia possesses significant maritime potential, boasting the second longest coastline in the world, a water area covering 71%, and abundant marine biological resources that can contribute to maritime economic growth. This research aims to leverage remote sensing technology and geographic information science to harness Indonesia's maritime potential. In the realm of renewable energy, this study emphasizes the potential of wave energy and current energy in Indonesia, with the objective of establishing an Ocean Renewable Energy (ORE) model. Additionally, the research will consider marine habitat suitability to mitigate any negative impact on biodiversity from power generation activities. Based on the research findings, the ocean current energy in Lombok Strait has a high energy potential reaching 1,035 Watts and Maluku Sea has 1,536 Watts, while the southwest region exhibits wave energy potential of Panaitan Island has a wave energy potential of 23,051 kW/m, while Sangiang Island has a potential of 12,842 kW/m. Furthermore, potential energy locations will be identified through the overlaying of potential fish zones. The ultimate goal of this research is to fulfill sustainable energy needs, decrease dependence on fossil fuels, and promote sustainable economic growth in Indonesia.
BUILDING EDGE DETECTION FROM VERY HIGH-RESOLUTION REMOTE SENSING IMAGERY USING DEEP LEARNING
Authors: Prabhakar D. , Garg P. K.
Published: September 2023

Abstract. Detection of Building edges is crucial for building information extraction and description. Extracting structures from large-scale aerial images has been utilized for years in cartography. With commercially available high-resolution satellites, many aerial photography usages can now employ satellite imagery. Edge detection is focused on pinpointing distinct transitions between greyscale image regions and attributing their origins to underlying physical processes. Detecting building boundaries from very high-resolution (VHR) remote sensing data is essential for many geo-related applications, such as urban planning and management, surveying and mapping, 3D reconstruction, motion recognition, image registration, image enhancement and restoration, image compression, and more. The rapid evolution of convolutional neural networks (CNNs) has led to substantial breakthroughs in edge detection in recent years. Sharp, localized changes in brightness characterize edges in digital images. In most cases, edge detection requires some kind of image smoothing and separation. Differentiation is an ill-conditioned problem, and smoothing leads to information loss. It is challenging to create an edge detection method that works everywhere and adapts to any future processing stages. Therefore, throughout the development of digital image processing, numerous edge detectors have been created, each with its own unique set of mathematical and algorithmic properties. Several edge detectors have been developed due to application needs and the subjective nature of edge definition and characterization. We propose a deep learning technique, particularly convolutional neural networks(CNNs), that offers a promising approach to automatically learn and extract features from very high-resolution remote sensing imagery, leading to more accurate and efficient building edge detection.
EFFECT OF DATA QUALITY ON WATER BODY SEGMENTATION WITH DEEPLABV3+ ALGORITHM
Authors: Edpuganti A. , Akshaya P. , Gouthami J. , Sajith Variyar V. V. , Sowmya V. , Sivanpillai R.
Published: September 2023

Abstract. Training Deep Learning (DL) algorithms for segmenting features require hundreds to thousands of input data and corresponding labels. Generating thousands of input images and labels requires considerable resources and time. Hence, it is common practice to use opensource imagery data and labels available online. Most of these open-source data have little or no metadata describing their quality or suitability making it problematic for training or evaluating DL models. This study evaluated the effect of data quality on training DeepLabV3+, using Sentinel 2 A/B RGB images and labels obtained from Kaggle. We generated subsets of 256 × 256 pixels, and 10% of these images (802) were set aside for testing. First, we trained and validated the DeepLabV3+ model with the remaining images. Second, we removed images with incorrect labels and trained another DeepLabV3+ network. Finally, we trained the third DeepLabV3+ network after removing images with turbid water or with floating vegetation. All three trained models were evaluated with test images and then we calculated accuracy metrics. As the quality of the input images improved, accuracy of the predicted masks generated from the first model increased from 92.8% to 94.3% in the second model. The third model’s accuracy was 96.4%, demonstrating the network’s ability to better learn and predict water bodies when the input data had fewer class variations. Based on the results we recommend assessing the quality of open-source data for incorrect labels and variations in the target class prior to training DeepLabV3+ or any other DL network.
Unveiling spatial variability within the Dotson Melt Channel through high-resolution basal melt rates from the Reference Elevation Model of Antarctica
Authors: Zinck Ann-Sofie Priergaard , Wouters Bert , Lambert Erwin , Lhermitte Stef
Published: September 2023

Abstract. The intrusion of Circumpolar Deep Water in the Amundsen and Bellingshausen Sea embayments of Antarctica causes ice shelves in the region to melt from below, potentially putting their stability at risk. Earlier studies have shown how digital elevation models can be used to obtain ice shelf basal melt rates at a high spatial resolution. However, there has been limited availability of high-resolution elevation data, a gap the Reference Elevation Model of Antarctica (REMA) has filled. In this study we use a novel combination of REMA and CryoSat-2 elevation data to obtain high-resolution basal melt rates of the Dotson Ice Shelf in a Lagrangian framework, at a 50 m spatial posting on a 3-yearly temporal resolution. We present a novel method: Basal melt rates Using REMA and Google Earth Engine (BURGEE). The high resolution of BURGEE is supported through a sensitivity study of the Lagrangian displacement. The high-resolution basal melt rates show a good agreement with an earlier basal melt product based on CryoSat-2. Both products show a wide melt channel extending from the grounding line to the ice front, but our high-resolution product indicates that the pathway and spatial variability of this channel is influenced by a pinning point on the ice shelf. This result emphasizes the importance of high-resolution basal melt rates to expand our understanding of channel formation and melt patterns. BURGEE can be expanded to a pan-Antarctic study of high-resolution basal melt rates. This will provide a better picture of the (in)stability of Antarctic ice shelves.
Emerging Scholarly Practitioners
Authors: Smith Rebecca , Bush Cathie , Cooper Andrea , Fedoration Sarah , Ference Maureen , Fischer Sharon , Francis Janice , Gartner Karen , Humphrys Sherri , Loken Camille , Lyseng Bev , Lyseng Randy , Muench Janice , Ralston Nicole , Syson Kate
Published: September 2023

The purpose of this research project was to explore doctoral student learning and development as scholarly practitioners through one innovative method: a course-based self-study. This self-study empowered doctoral candidates in three key forms of data collection: 1) two project-based course assignments; 2) a survey on course-based student learning; and 3) a self-reflection on learning in the self-study. Results indicate positive impacts in addressing real-life problems and in connecting students to cohort members. The application of skills and knowledge in a course-embedded self-study connects to the Carnegie Project on the Education Doctorate (CPED) principles of creating scholarly practitioners and also developing activist leaders who build coalitions and focus on researching real life social justice issues. This study can serve as an exemplar for similar EdD programs who are developing scholarly practitioners.
Pilot Testing as a Strategy to Develop Interview and Questionnaire Skills for Scholar Practitioners
Authors: Tate Ruth , Beauregard Fatima , Peter Cristina , Marotta Laura
Published: September 2023

This essay presents the reflections of four Education Doctorate (EdD) students on the pilot testing strategies used during an online research methods course. Rigorous questionnaire and interview development skills are challenging to acquire. Pilot testing is an under-researched stage of instrument design, yet it is crucial to ensure validity and reliability, reduce bias, and psychologically prepare researchers for data collection. A structured, multi-step pilot testing process led to the collective development of stronger scholar-practitioner identities, the use of innovative synchronous/asynchronous methods during COVID-19 and increased academic rigor. These reflections demonstrate how several types of pilot testing can support the development of rigorous data collection instruments and prepare post-graduate students for the psychological and technical challenges they may encounter in future research.
It’s Time to Make More Room for Program Evaluation in the Education Doctorate Program
Authors: Marotta Jessica A.
Published: September 2023

This essay highlights the value of an applied methodology course in program evaluation in the education doctorate program by exploring several benefits that it offers to enhance a doctoral student’s ability to solve complex problems of practice. Observations and recommendations are made based on designing and teaching two cohorts of EdD students in a program evaluation course. Improvement science is referenced throughout to highlight how the two may complement each other, not to place a higher value on one or the other. How and where program evaluation and improvement science appear to have possible areas of overlap, along with a brief overview of the major differences, are discussed. The author maintains that both program evaluation and improvement constitute a tremendous capacity to provide the ideas, tools, and approaches to prepare students to be the change agents they hope to aspire to be in their present and future roles as scholarly practitioners.
Experiências, exemplos e recomendações para a produção de artigos científicos
Authors:   Cláudia Buhamra Abreu Romero, Buhamra Cláudia
Published: September 2023

A ideia deste livro nasceu do simples desejo de reunir todos os artigos científicos que já escrevi, em parceria com colegas professores e alunos, e que estão dispersos em revistas e livros, nacionais e internacionais. Foi quando me veio a ideia de fazê-lo não apenas para arquivo pessoal, mas, também, para compartilhar, além dos artigos, as experiências vividas e algumas recomendações sobre o processo de produção. Inicialmente, imaginei que seu conteúdo poderia ser útil apenas para meus orientandos. Entretanto, à medida que fui avançando na escrita, ousei abrir o acesso a outros leitores que possam ter interesse no processo de produção acadêmica. Importante dizer que este não é um livro de metodologia científica, mas de orientação sobre os caminhos para a produção de um artigo, por meio de relatos de experiências pessoais e da apresentação dos textos produzidos e, aqui, utilizados como exemplos. Assim sendo, tendo mudado o propósito original da obra, optei por inserir apenas os artigos publicados em periódicos a partir de 2017. Incluí também, como Anexos, dois textos escritos para livros do Prof. Philip Kotler, ambos a convite da editora que me deixaram muito honrada.
The financial vulnerability of non-profit entities: A theoretical framework proposal
Authors: Jimeno García Inmaculada , Marie Garvey Anne , Mir Fernández Carlos , Flores Jimeno Rocío
Published: September 2023

NPOs (Non-Profit Organisations) are entities created to respond to the social needs of the economy, many of which fall into financial difficulties and are forced to close. Given the importance that these entities have both socially and economically, the study of their financial vulnerability is an area of special interest. It is important to highlight the factors that characterize this type of entity in a situation of vulnerability and also to anticipate future undesirable situations which could result in closure without timely supervision. In this way, the entity could redirect its management and make the necessary changes in its structure to ensure its continuity. Our study analyses the academic literature, from a theoretical perspective, in relation to this vulnerability allowing us to construct a pentagram of five dimensions, some interrelated, which we propose to be taken into consideration in the study of an entity’s vulnerability. These five dimensions are performance, operational dimension, leverage, liquidity and most importantly reputation. This research offers a proposal to evaluate financial vulnerability in NPOs in a more comprehensive way and facilitate its management.
USING JEOPARDY GAME TO IMPROVE STUDENTS’ READING COMPREHENSION OF THE EIGHTH GRADE IN UPT SPF SMP NEGERI 35 MAKASSAR
Authors: Thohirah Mursyidah Dianti , Batau Siti Haliah , Syam Ulfah
Published: September 2023

This research aimed to determine the use of Jeopardy Game learning media on Reading Comprehension Skills of Narrative Text by Eighth Grade students of UPT SPF SMP Negeri 35 Makassar. This research focused on quantitative experimental research. The population of this research was students of class VIII UPT SPF SMP Negeri 35 Makassar, totaling 282 students. Random Sampling technique was used to one class as research sample, which consisted of 28 students. The data were obtained from written tests related to reading comprehension on narrative text. The results of this study used inferential analysis of the t-test by SPSS v.16 which showed a significant effect on the students’ mean score of Reading Comprehension skill between the pretest and post-test. The mean score of the students’ Reading Comprehension on Nrrative Text enhanced from 3.39 in the pretest to 6.46 in the posttest. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 < 0.05). Thus, it can be concluded that Jeopardy Game learning media is effect applied to students’ Reading Comprehension skill on Narrative Text in class VIII at UPT SPF SMP Negeri 35 Makassar.
HUBUNGAN BIMBINGAN BELAJAR ORANGTUA TERHADAP PERILAKU DISIPLIN DAN HASIL BELAJAR SISWA SD INPRES LANRAKI 2 KOTA MAKASSAR
Authors: Wahyu Ningsih St Aisah , Madjid Syahriah , Dipalaya Tismi
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui hubungan antara bimbingan belajar orang tua dengan perilaku disiplin dan hasil belajar siswa SD Inpres Lanraki 2 Kota Makassar. Jenis penelitian ini adalah penelitian kuantitatif korelasional. Populasi pada penelitian ini adalah siswa kelas I-VI SD Inpres Lanraki 2 sebanyak 312 siswa dengan sampel sebanyak 40 yang dipilih secara acak. Pengumpulan data dalam penelitian ini menggunakan kuesioner berupa angket bimbingan belajar orang tua dan angket perilaku disiplin serta menggunakan teknik dokumentasi untuk memperoleh data hasil belajar. Data yang diperoleh di analisis menggunakan uji korelasi ganda. Hasil analisis data menunjukkan bahwa bimbingan belajar orang tua mempunyai hubungan yang positif pada perilaku disiplin dan hasil belajar siswa SD Inpres Lanraki 2 Kota Makassar. Hal ini menunjukkan bahwa jika bimbingan belajar orang tua dan perilaku disiplin di tingkatkan maka hasil belajar juga akan meningkat.
Analisi Penggunaan Diksi Kesantunan Berbahasa Pada Proses Pembelajaran Kelas VIII-1 UPT SPF SMP Negeri 35 Makassar
Authors: Dialsi S.Seno Karmil , Hamsiah Andi , Angreani Andi Vivit
Published: September 2023

Penelitian ini menggunakan metode penelitian deskriptif dengan data kualitatif. Data dikumpulkan dengan teknik rekam pada saat proses pembelajaran. Untuk mendalami santun atau tidaknya suatu tuturan yang terjadi pada saat proses pembelajaran di kelas VIII-1 UPT SPF SMP Negeri 35 Makassar, dilihat berdasarkan teori kesantunan berbahasa oleh Geoffrey Leech yaitu maksim kearifan (tact maxim), maksim kedermawanan (generosity maxim), maksim pujian (approbation maxim), maksim kerendahan hati (modesty maxim), maksim kesepakatan (agreement maxim) dan maksim kesimpatian (sympathy maxim). Terdapat 5 rekaman proses pembelajaran yang dituturkan oleh guru dan siswa pada proses pembelajaran dan ditemukan 132 pematuhan tuturan kesantunan dan 73 pelanggaran tuturan kesantunan. Dengan pematuhan terbanyak terdapat pada maksim kearifan 66 pematuhan dan pelanggaran terbanyak pada maksim pujian 36 pelanggaran tuturan kesantunan. Dengan demikian tingkat kesantunan berbahasa pada proses pembelajaran kelas VIII-1 UPT SPF SMP Negeri 35 Makassar berdasarkan data yang didapat sebesar 64,3%.
Characteristics of Neogene clay materials in Northwest Bulgaria – new data for the areas near Bela and Staropatitsa villages
Authors: Dotseva Zornitsa , Stanimirova Tsveta , Vangelov Dian
Published: September 2023

Clay materials have a variety of unique characteristics and have various applications in many industries. In this paper, we represent new data about the mineralogical and chemical characteristics of the Neogene clay materials from the areas of the villages of Bela and Staropatitsa, Northwest Bulgaria. The phase composition of the samples mainly consists of quartz and clay minerals, which in both sites are represented by smectite and kaolinite types, with mica, chlorite, illite, and potassium feldspars present. The chemical analysis indicated that silica and alumina were predominant in the analyzed samples, with medium contents of iron oxide. The percentage of MgO, K2O, and TiO2 content is explained by the presence of montmorillonite minerals, illite/mica, and anatase. The high values of the Chemical Index of Alteration (CIA) show that the clay materials underwent intense alteration. Further research into the chemical and mineralogical properties and the technical parameters of these clay materials is critical for understanding their formation processes, assessing their industrial applications, and improving the geologic and geotechnical assessments related to environmental implications.
COMPARATIVE MORPHOLOGY OF THE SKULL IN SOME SPECIES OF SMALL UNGULATES OF THE PRIMORSKY KRAI
Authors:   FSBEI of HE Primorsky State Agricultural Academy, Belyaev D.A. , Lyubchenko E.N. ,   FSBEI of HE Primorsky State Agricultural Academy, Korotkova I.P. ,   FSBEI of HE Primorsky State Agricultural Academy, Kamlia I.L. ,   FSBEI of HE Primorsky State Agricultural Academy, Zhilin R.A. ,   FSBEI of HE Primorsky State Agricultural Academy, Kapralov D.V. ,   FSBEI of HE Primorsky State Agricultural Academy, Kozhushko A.A. ,   FSBEI of HE Primorsky State Agricultural Academy, Krasochko P.A. ,   Vitebsk State Academy of Veterinary Medicine
Published: September 2023

The results of a comparative study present the anatomical and topographic features of the skull in a water deer as compared with other small ungulates of the Primorsky Krai. It was found that the morphological characteristics of the skull of a water deer were most clearly manifested in the area of the brain and the dentofacial apparatus. This is ex-plained by the peculiarities of the animal's lifestyle and the way of obtaining food. The established anatomical features in the structure of the skull bones of small ungulates of the Primorsky Krai will allow differentiating the species of the animal by the remains of the head, contributing to the qualitative conduct of forensic biological examinations, and will also assist hunting supervision specialists in establishing the hunting type of ungulates.
Athenian Women as Anti-War Heroes, Role Reversal and Power Play in Aristophanes’ Lysistrata
Authors: Aman Mashaal
Published: September 2023

This research focuses on Athenian women as an epitome of female authority which challenges the male supremacy and strive for their struggle of political empowerment. Role reversal aspect is found in Aristophanes’ play Lysistrata hidden under the mask of erotic humor and this play aims to highlight that facet. For this purpose, this research will use frameworks regarding gender and power from the book Gender and Power: Society, the Person and Sexual Politics by Raewyn Connell. 411 B.C. Greece was a democratic state ruled predominantly by males and hence the society was affected by the phallic roles. So, this paper will analyze the play Lysistrata from the perspective of gender inequality faced by women and will attempt to observe the limited female involvement at the state level and male opposition to female struggle for political inclusion. This article will study the play on multiple differing interconnecting facets which are female struggle against the predetermined societal roles, the motive of using sex strike as a tool to challenge male dictatorship and its modern day application. It will also explore that how the dominant personality of Lysistrata and the how the comparison of domestic households to the state affairs was used as political tools for challenging the male authority. This research concludes with a comparison of Athenian women with the modern day women and the message it instills for the modern world. Although women are socialized to stay the subservient and nurturing gender for males, but this article calls for an equal division of labor amongst all without any discrimination and prejudice.
An Appraisal of Burki’s Attitudinal Positioning in Shaping his Authorial Voice
Authors: Ahmad Saboor , Talaat Mubina
Published: September 2023

The current study aimed to investigate that how an eminent Pakistani writer Hamidullah Khan Burki constructed his attitudinal positioning that shaped his authorial voice in journalistic discourse. The study focused on two aspects: to explore the patterns in Burki’s use of attitudinal resources through lexical choices; and to investigate that how the appraised categories shape Burki’s authorial voice through attitudinal positioning. The current research is a case study, exploratory in nature, which used QUAL-Quan model of mixed method research. After collection of data in the form of 20 journalistic articles of Burki through purposive sampling about politics in Pakistan, the three-dimensional appraisal framework was used to analyze the data qualitatively in the light of Martin & White (2005) Appraisal Theory, which consisted of Attitude Types, Polarity and Appraised Categories. The data was annotated accordingly through UAM Corpus Tool Version 6.2 to generate automatic results for computing the frequency and percentage of various categories in a quick, accurate and systematic manner. The statistical results and subsequent discussion have provided valuable findings in a systematic and objective manner regarding important features and patterns in Burki’s attitudinal positioning that shape his authorial voice. The most dominating feature is the use of appraisal resources of Judgement for shaping his authorial voice. Moreover, he has overall used negative evaluative resources more frequently as compared to positive evaluative resources in his articles. Hence, the findings of the current study depict that Appraisal Theory has provided a comprehensive, systematic and objective framework for appraisal of journalistic discourse.
Socio-Cultural and Religious Taboos Trapped the South Asian Women: Analysing Female Struggle Against Male Chauvinist Society in Gita Mehta’s Raj
Authors: Hassan Bin Zubair  , Dur-e-Afshan Babar  , Abdul Shakoor
Published: September 2023

This research explores Gita Mehta’s prestigious place in Indian Writing in English. Being a female novelist, her writings raise the issue of women's identity. Her novel Raj mainly focuses on the culture, tradition, and political condition of India. According to her, women are trapped in the circle of religion, culture, tradition, and all social taboos. In this novel the heroine of Mehta, Jaya Singh breaks the shell of all such taboos and emerges herself as a new individual in society. This research paper will show how the novel Raj is viewed as a wide scope for feminist analysis. This research aims to explore and analyze how the protagonist, Jaya Singh along with other subordinate female characters struggles hard and creates their own space in the so-called male-dominated society. With the help of Judith Lorber’s theoretical perspective of the social construction of gender, Judith Halberstam’s female masculinity, and Judith Butler's notion of ‘gender performativity’ the research papers analyzes how gender roles and ideologies are socially constructed, not something considered natural. The finding highlights that gender is not something related to the presence or lack of certain genes. It is the product of society and culture made to suit the ulterior motive of patriarchy. The main conclusion to be drawn from this work is gender is not an inborn entity which is quite a political issue hence; the female characters deployed in the novel are claiming their 'space' in society.
Psychology of Religion and Pandemic COVID-19 in KP, Islamic Republic of Pakistan
Authors: Humaira Riaz
Published: September 2023

The psychology of religion is an investigation of what it means to be religious from a psychological standpoint. The main goal of the present study is use of a framework to understand how individuals and groups are contended with faith and religion in various ways during a pandemic situation. Empirical data critically reviewed and analyzed in this paper mainly focuses on religion, culture, and the pandemic. The first part of the paper reviews factors affecting religious beliefs in the social and cultural context. Overlapping themes are synthesized after reframing the data for the identification of helpful insights. Using Freud’s psychoanalysis theory of consciousness, the study analyses and unravels thoughts reflected in discourse to draw a conclusion that Freud’s theory is still an applicable tool in Asia to reach individuals’ minds and map their behavior for finding how the pandemic has affected religious in Muslim societies specifically KP region of Pakistan. Psychoanalysis proposes that unconsciousness makes emotions and expressions conscious. The unconscious governs the attitude of the people and in turn, influences their beliefs. The study concluded by finding that crises strengthened the beliefs to the extent of putting human lives in danger A study can be conducted in the future to record female graduate and undergraduate participants’ responses to religious faith in the pandemic situation.
An Innovative Approach in The Field of Higher Education: Blended Learning and Massive Open Online Courses
Authors: Anma Saleem  , Fatima Ali  , Iqra Ashraf
Published: September 2023

E-learning is currently growing daily, and Blended Learning and massive open online courses are vital tools for implementing this notion. This paper sheds light on the Blended Learning and massive open online courses concepts. Blended Learning is an innovative concept that in the classroom clinches the advantages of both teaching modes, traditional and online teaching methods. MOOCs take place online by default and they are free, which is evident in this research with multiple meanings. The current paper aims to address blended learning and massive open online courses, their main characteristics, benefits, and its implementation in the Pakistani scenario. The recent paper also explores how a blended learning and massive open online courses approach needs to be adopted to attain better results.
Urachal Adenocarcinoma and Immunotherapy Treatment: Case Report from Palestine
Authors:   University of Palestine, Palestine., SM Sami
Published: September 2023

Urachal cancer is a rare form of bladder cancer that arises from the urachus, a vestigial musculofibrous band that extends from the dome of the bladder to the umbilicus
Prediction of pulmonary nodule growth: Current status and perspectives
Authors:   Huadong Hospital affiliated to Fudan University, Shanghai, Li Ming
Published: September 2023

With the widespread use of low-dose computed tomography for screening of lung cancer in high-risk groups, the detection
Stroke mimics: A review
Authors:   Sun Yat-sen University, Zhenyuan Road 628, Guangming District, Shenzhen, 518000, China., Wang Yan
Published: September 2023

Acute ischemic stroke is a time-sensitive emergency requiring rapid accurate diagnosis and treatment. Stroke Mimic (SM) is a noncerebrovascular condition that presents with acute focal neurological deficts and masquerades
Muscle metastasis revealing an adenocarcinoma of the lung
Authors:   University Hospital of Gabes, Gabes, Sabrine Majdoub Fehri
Published: September 2023

Lung cancers are diagnosed at a metastatic stage in 40% to 50% of cases. Skeletal Muscle Metastases (SMM) are rare and usually
A variant of uncertain significance in HMGA2 gene, in a child with Silver-Russell syndrome like phenotype: A case report
Authors:   Childs Adolescents Development and Endocrinology unit, Xatzipsalti Maria
Published: September 2023

Silver-Russell Syndrome 5 (SRS5) is characterized by asymmetric Intrauterine Growth Restriction (IUGR), poor postnatal growth
Online Bayesian Optimization of Polynomial-Multigrid Cycles for Flux Reconstruction
Authors: Mishra Sambit
Published: September 2023

We introduce an innovative approach to optimise polynomial multigrid cycles to enhance convergence acceleration of incompressible flow simulations. To achieve this, we apply the Bayesian Optimisation approach to efficiently sample possible cycles to minimise runtime.
To allow the use of traditional optimisation methods, we developed fractional smoothing steps for multigrid cycles to perform optimisation in a continuous domain.
Initially we explored a static *offline* optimisation strategy and identified optimal cycles. However the performance of the cycles was not transferable across different simulations.

This observation led us to develop a dynamic *online* optimisation strategy where cycles are continuously optimised with simulation progress. The performance of the optimal cycles determined through this approach gave similar speed up to the offline approach, with the added advantage of continuous progression during the simulation.
Tests were performed on three case setups of flow past cylinder at Reynolds numbers 200, 500 and 3900 to give speedups of 3.0×, 2.1× and 1.9× respectively.
360 View on Zero-Touch (Zero-Touch) Networks
Authors: Madakam Somayya , Mark Shlomo , Lurie Yotam
Published: September 2023

In modern telecommunication sectors, zero touch (Zero-Touch) networks are a novel idea. A combination of quick, context-aware network and service configuration, adaptable new service development, and dynamic, effective resource allocation are required for everyone. An innovative telecommunication management software, Zero-Touch Networks (ZTNs), were released to address these complicated conditions. The primary objective of the zero-touch network is autonomous operation, which is governed by higher layers of policies and regulations and allows for self-configuration, self-monitoring, self-healing and self-optimization without the need for human interaction. This conceptual study document is based on white and grey literature in the Google and Web of Science databases. Text, image, audio and video formats all existed for the data. The manuscripts examined the theories, enabling technologies, problems and difficulties associated with zero touch networks. The primary goal of this manuscript is to provide an overview of ZTN so that aspiring academics, researchers, students and businesspeople can profit from it.
DRF codes: Deep SNR-robust feedback codes
Authors: Boloursaz Mashhadi Mahdi , Gunduz Deniz , Perotti Alberto , Popovic Branislav M.
Published: September 2023

We present a new Deep Neural Network (DNN)-based error correction code for fading channels with output feedback, called the Deep SNR-Robust Feedback (DRF) code. At the encoder, parity symbols are generated by a Long Short Term Memory (LSTM) network based on the message, as well as the past forward channel outputs observed by the transmitter in a noisy fashion. The decoder uses a bidirectional LSTM architecture along with a Signal to Noise Ratio (SNR)-aware attention NN to decode the message. The proposed code overcomes two major shortcomings of DNN-based codes over channels with passive output feedback: (i) the SNR-aware attention mechanism at the decoder enables reliable application of the same trained NN over a wide range of SNR values; (ii) curriculum training with batch size scheduling is used to speed up and stabilize training while improving the SNR-robustness of the resulting code. We show that the DRF codes outperform the existing DNN-based codes in terms of both the SNR-robustness and the error rate in an Additive White Gaussian Noise (AWGN) channel with noisy output feedback. In fading channels with perfect phase compensation at the receiver, DRF codes learn to efficiently exploit knowledge of the instantaneous fading amplitude (which is available to the encoder through feedback) to reduce the overhead and complexity associated with channel estimation at the decoder. Finally, we show the effectiveness of DRF codes in multicast channels with feedback, where linear feedback codes are known to be strictly suboptimal. These results show the feasibility of automatic design of new channel codes using DNN-based language models.
Channel estimation and PAPR reduction in OFDM based on dual layers-superimposed training
Authors: Chen-Hu Kun , Fernández-Getino García M. Julia , Armada Ana Garcia
Published: September 2023

Superimposed Training (ST) is one of the most appealing channel estimation techniques for Orthogonal Frequency Division Multiplexing (OFDM), to be possibly exploited in 6G. The data and pilot symbols are sharing the same time and frequency resources, and hence, the overhead is significantly reduced. Moreover, the superimposed pilots can be also used for the reduction of the Peak-to-Average Power Ratio (PAPR). However, a joint channel estimation and PAPR reduction procedure has not been addressed yet. In this work, a novel scheme denoted as Dual Layers-Superimposed Training (DL-ST) is proposed for this joint purpose. The Training Sequence (TS) of the first layer is targeted to perform channel estimation, while the TS of a second layer is designed for PAPR reduction and it is made transparent to the first one. Both layers can be independently processed, which implies a reduced complexity. To verify the performance of the proposed technique, the analytical expression of the channel estimation Mean Squared Error (MSE) is derived. Finally, several numerical results further illustrate the performance of the proposal, showing how the MSE and achievable rate are improved while significant PAPR
reductions are attained with negligible complexity.
Multimodal transformers for wireless communications: A case study in beam prediction
Authors: Tian Yu , Zhao Qiyang , Kherroubi Zine el abidine , Boukhalfa Fouzi , Wu Kebin , Bader Faouzi
Published: September 2023

Wireless communications at high-frequency bands with large antenna arrays face challenges in beam management, which can potentially be improved by multimodality sensing information from cameras, LiDAR, radar, and GPS. In this paper, we present a multimodal transformer deep learning framework for sensing-assisted beam prediction. We employ a convolutional neural network to extract the features from a sequence of images, point clouds, and radar raw data sampled over time. At each convolutional layer, we use transformer encoders to learn the hidden relations between feature tokens from different modalities and time instances over abstraction space and produce encoded vectors for the next-level feature extraction. We train the model on a combination of different modalities with supervised learning. We try to enhance the model over imbalanced data by utilizing focal loss and exponential moving average. We also evaluate data processing and augmentation techniques such as image enhancement, segmentation, background filtering, multimodal data flipping, radar signal transformation, and GPS angle calibration. Experimental results show that our solution trained on image and GPS data produces the best distance-based accuracy of predicted beams at 78.44%, with effective generalization to unseen day scenarios near 73% and night scenarios over 84%. This outperforms using other modalities and arbitrary data processing techniques, which demonstrates the effectiveness of transformers with feature fusion in performing radio beam prediction from images and GPS. Furthermore, our solution could be pretrained from large sequences of multimodality wireless data, on fine-tuning for multiple downstream radio network tasks.
Az európai és hazai vidékfejlesztés dilemmái
Authors: Szörényiné Kukorelli Irén
Published: September 2023

A vidékfejlesztés célja, hogy a vidéki lakosság életminőségét, jóllétét hosszú távon biztosítsa. Visszatekintve az elmúlt bő 30 évre, megállapíthatjuk, hogy a KAP módosításai, a második pillér kialakítása, az EMVA létrehozása a fenti célokat szolgálták. Mégis látni kell, hogy időről időre felmerül a kérdés, vajon az eszköz szolgálja-e a célt? 2000–2027 között az egyes programozási időszakokban csak a társadalmat érintő célokban találunk általános vidékfejlesztésre vonatkozó intézkedéseket, különösen a 2007–2013-as időszakban. De a 2021–27-es ciklusra már hiányoznak az életminőség javítására utaló, egész vidéki társadalmat érintő intézkedések. Ellentmondás húzódik a KAP 2021–27 célrendszere és a Rural Pact dokumentumban 2040-ig megfogalmazott hosszú távú jövőkép között. Míg ez utóbbi az erőteljesebb (életképesebb) és alkalmazkodni tudó vidéki térségeket vizionál, és ehhez határozza meg a célokat, addig a KAP céljai leragadnak az agráriumnál, még a KAP II pillére is. Úgy vélem, jelenleg a KAP vidékfejlesztési szakpolitikája nem szolgálja általánosan a vidéki lakosság életminőségének jobbítását, mert a vidékfejlesztés jelenlegi elvei, stratégiai célkitűzései és a célok megvalósításához rendelt eszközrendszer gyenge ahhoz, hogy a vidéken élők (és nem csak a gazdák) életminősége növekedjen, a vidéki jóllét megvalósulhasson. A vidéki népesség életminőségének javításához szükséges a lokalitás erősítése, a multifunkcionalitás kiszélesítése, a közösségek rezilienciája, valamint a társadalmi innováció segítségével az innovációt befogadni képes rurális tér megteremtése.