bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic factors of early Alzheimer's dementia
Authors: Castro Rosa Betânia Rodrigues de , Rocha Eleusa Maria Ferreira
Published: November 2023

Alzheimer's disease (AD) is classified as a neurodegenerative disorder that alters the memory and cognitive capacity of the affected individual, in addition to causing behavioral changes and other neuropsychiatric symptoms. In this work, genes involved in the metabolism of this neurodegenerative disorder were reported, as well as their positioning on their chromosomes with an emphasis on the human genome. The following research sources were used to collect data and results: scientific articles, books and websites specializing in this subject regarding AD and the human genome. The result of this investigation indicated that the genes studied are located on chromosomes 1, 14, 17, 19 and 21 in the human genome, and associated with early AD disease in humans. Therefore, the identification of genes related to AD is necessary for a better understanding of AD genetics and also for the development of molecular markers of therapeutic targets for the diagnosis and treatment of this dementia.
An Examination of Consumerism and the Role of Technology in Don DeLillo’s White Noise and Cosmopolis
Authors:   University of Zambia, Malumani Kelly
Published: November 2023

Human society has entered an era marked by myriad phenomena collectively labeled ‘modernisation’. Over the past 100 years, scientific breakthroughs and technological innovations have radically changed the human experience. Almost everything we touch or use in our homes, our garages, our offices is the by-product of an intense and complex industrial system: our consumption of goods is notably a function of our culture. We are surrounded by a manufactured world. Like most phenomena, the critical reality lies not in the general characteristics of modernisation, but in the particular and unique conditions of people’s lives, and the effects of modernisation in the places where we live: in our homes, our communities, our natural and cultural environments. Two texts which are concerned with an exploration of the complexities of modernisation, particularly technology and the resultant consumerist culture, are Don DeLillo’s White Noise and Cosmopolis. The purpose of this study was to examine the relationship that exists between consumerism and technology in the two texts. This investigation used historical, philosophical and psychological theories. From a historical perspective, the study focused on contextual approaches, which looked at the historical development of technologies in relation to their social context. Employing postmodern theories, the characters’ motivations to buy and consume products in both texts were discussed. In essence, it was noted that consumerism physically and mentally affects consumers. On the physical level, people living in the consumerist society cannot avoid its tentacles because there are too many outside forces keeping them in the system. Technology has become as much a part of the texture of daily life as humans are themselves. In fact, the two seem inextricable. In both White Noise and Cosmopolis, the pervasive presence of technology proves both menacing and comforting—toxic threats abound, while concurrently the characters are bombarded with advertised information and promises of immortality through scientific advancements. Thus, consumers relentlessly buy products and feel that the products they buy determine their identity.
A case of sudden cardiac arrest after carotid artery stenting in a patient with acute myocardial infarction
Authors: Kim Hokyu , Kim Minkyung , Han Jung Hoon , Kim Han Jun , Kim Chi Kyung , Oh Kyungmi , Lee Keon-Joo
Published: November 2023

Sudden cardiac arrest is known to be a rare but devastating complication after carotid artery stenting (CAS). However, it is not well known about who is at risk of such condition and especially whether performing CAS is safe in those who experienced recent heart diseases such as acute myocardial infarction. Here we report a patient who experienced sudden cardiac arrest after CAS which was done during the acute period of myocardial infarction.
The Influence of Bat Guano on Peat Soil Properties in the Oil Palm Plantations
Authors: Bafadhal Farah , Fauzi Ahmad , Nurani Diana , Monconegoro Dicky Adihayyu
Published: November 2023

Highlighting the role of bat guano as an organic fertilizer housing beneficial microbes for soil and plants. The research aimed to assess the effect of bat guano on bacterial diversity and chemical and nutrient properties of peat soil in the vicinity of a bat cave within oil palm plantation in West Sulawesi, Indonesia. Four samples, namely bat guano (BG), peat soil (PS), peat soil mixed with bat guano (PSM), and peat soil inside the cave (PSI) were assessed. Organic carbon, pH, total nitrogen, the C/N ratio, Cation Exchange Capacity (CEC), Base Saturation (BS), macronutrients, and micronutrients were measured across all samples. Bacteria from the samples were also isolated, and their capability in hydrolyzing urea, solubilizing phosphate, solubilizing potassium, and producing the Indole Acetic Acid (IAA) hormone was characterized. The influence of bat guano was found on the enhancement production of IAA hormone, pH, organic carbon, total nitrogen, C/N ratio, CEC, BS, macronutrients, and micronutrients. The results also demonstrated substantial bacterial community resemblance between PSM and BG in contrast to the original PS (3:1). Meanwhile, peat soil inside the cave was indicated unique and has bacterial diversity, which can hydrolyze urea, solubilizing phosphate, and potassium.
Understanding Covid-19 Situation Using Mathematical Modeling
Authors:   Department of Mathematics, Amity School of Applied Sciences Lucknow, Amity University Uttar Pradesh, India, Singh Samkach
Published: November 2023

In light of the absence of an effective vaccine or specific antiviral treatments, mathematical modeling assumes a crucial role in enhancing our comprehension of disease dynamics and in devising strategies to manage the rapid spread of infectious diseases. Particularly during this period, forecasting holds paramount significance for healthcare planning and for effectively addressing the COVID-19 pandemic. To elucidate the dynamics of the COVID-19 outbreak, this study introduces an extended SEIR compartment model, refined with the inclusion of contact tracing and hospitalization strategies. The model is calibrated employing daily COVID-19 data encompassing various Indian regions, including Kerala, Karnataka, Andhra Pradesh, Maharashtra, West Bengal, and the entirety of India. Employing the least squares method, we estimate sensitive parameters after conducting a sensitivity analysis, which we approach using partial rank correlation coefficient techniques. Our exploration focuses on the relative significance of system parameters, with a dedicated sensitivity analysis centered on the reproductive number R₀. To assess the model's resilience across parameter variations, we compute R₀ sensitivity indices. Our findings underscore the effectiveness of strategies that involve reducing disease transmission coefficients (s) and clinical outbreak rates (qa) in controlling COVID-19 outbreaks. Our study generates short-term predictions for daily and cumulative confirmed COVID-19 cases across the five Indian provinces. These projections reveal distinct trends, with certain states demonstrating steady exponential growth, while others exhibit a decline in daily new cases. Examining the long-term perspective, our model predicts oscillatory dynamics for COVID-19 cases in India, suggesting the potential for the disease to follow a seasonal pattern. Consequently, our simulation points towards a power law trend in coronavirus cases in India by the close of September 2020, further contributing to our understanding of the disease's progression.
Harmful Effects of Chemical Pesticides
Authors:   Department of Agriculture, Shri Govind Guru Government College, Banswara, Rajasthan, India, Acharya Govind Prakash
Published: November 2023

After the rise of Green Revolution in Indian agriculture, pesticides have played an important role in increasing crop production and protecting crops from pests, diseases and weeds. India is the third largest consumer (BWD) of pesticides in the world and the largest consumer among countries in South Asia. India is the second largest producer of common insecticides (thempb chmejpbpakme) in Asia after China and ranks 12th in the world. India is the 13th largest exporter of pesticides in the world after Brazil, US. A. Exports pesticides to countries like France and Netherlands. Over the decades, the consumption of pesticides in India has increased manifold from 154 MT in 1953-54 to 85000 MT in 2009-2010. Pesticide consumption per hectare in India is among the lowest in the world, at 0.6 kg per hectare recently. Other countries of the world like- U.K. Of. (5.7 kg. per hectare), France (5-6 kg. per hectare), Korea (7 kg. per hectare), U.S.A. (7 kg. per hectare), Japan (12 kg. per hectare), China (13 kg. per hectare) and Taiwan (17 kg. per hectare) are consumed. The highest consumption of pesticides in our country is Andhra Pradesh, Maharashtra and Punjab, in which 45 percent of the total consumption is used. Most of the pesticides are used in crops like cotton, paddy, fruits and vegetables. According to the Insecticides Act 1968, there are about 155 insecticides registered in India, including 57 insecticides, 44 fungicides, 33 weedicides, 7 rodenticides, 4 plant growth regulators, 4 fumigants, 3 octapadicides, 1 molluscicide, 1 nematode, 1 soil sterilizer. Of the total pesticides in our country, 60 percent insecticides, 18 percent fungicides, 16 percent weedicides, 3 percent biocides and 3 percent other chemicals are used in agriculture.
Bitcoin and Cryptocurrency Exchange Market Prediction and Analysis Using Big Data and Machine Learning Algorithms
Authors:   International Burch University, Bosnia and Herzegovina, Branković Adnan
Published: November 2023

Due to economic uncertainty and the financial crisis of 2008, a desire for an unregulated currency arose, leading to the invention of Bitcoin. Using a pseudonym called Satoshi Nakamoto, Bitcoin was created in 2009, anonymously or by a group of unknown individuals. Since Bitcoin has been the most valuable cryptocurrency in recent years, its prices have fluctuated dramatically, making it difficult to predict their prices. Investors, businesses, risk managers, and market analysts can all benefit from being able to predict Bitcoin prices. By using the Bitcoin transaction data obtained from the Bitstamp website in this study, several different Machine Learning models are employed to determine the most accurate model for predicting Bitcoin prices. These models are based on 1-minute interval exchange rates in USD from January 1, 2012, to January 8, 2022. Analysis was performed primarily with Python, but it was also used and Hadoop, a distributed data storage and processing framework that uses the map-reduce programming model to allow efficient parallel processing of Big Data. Based on the results of our research, comprising three experiments, autoregres-sive-integrated moving average (ARIMA) makes the most accurate prediction of Bitcoin prices, with a 95.98% success rate.
Optical Character Recognition Development Using Python
Authors:   Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India, Sisodia Prakhar
Published: November 2023

Optical Character Recognition (OCR) is a technology used to convert scanned or digital images into editable text. OCR has become an increasingly important tool in the fields of data extraction and information retrieval, allowing for quick and efficient conversion of scanned documents and digital images into text. In this paper, we explore the use of the Python programming language to implement OCR algorithms and systems. We provide a comprehensive overview of existing Python libraries and packages used for OCR, including Tesseract and pytesseract, along with their strengths and limitations. We also examine the different OCR approaches and techniques, including template matching, feature extraction, and encrypting/decrypting the OCR parsed files and discuss their implementation in Python. Finally, we present a case study of a simple OCR system built using Python and evaluate its performance on a sample dataset. The results of our study highlight the potential of Python for OCR implementation and demonstrate its feasibility for real-world applications.
Numerical Analysis of Piled Raft Foundations in Alluvial soil
Authors:   Department of Civil Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, India, Ojha Devesh
Published: November 2023

In this age of rapid urbanization, population is rapidly increasing in urban area, therefore a new concept of vertical cities has been introduced in form of high-rise building, and there are many conventional methods for design of foundation systems for high rise buildings. In most of the conventional methods pile foundations have been given preference for high rise buildings, all the loads of the building are transferred to the soil by piles. Some of the pressure of the building can also be transfer by raft directly to the soil by contact pressure which is neglected in most of the conventional designs of pile raft foundation system. But from last decades, optimised way of designing of pile raft foundation system have been started by engineers, in which raft foundation is allowed to transfer some of the total load directly to the ground by contact pressure. This optimised way of designing has made the foundation system more economical and sustainable. This type of foundation system in which some part of the load is transfer by raft and some by piles are called as pile raft foundation system. Soil–structure interaction in this pile raft foundation system is very complex in nature and to study this soil–structure interaction we need some numerical techniques or numerical methods. So, in this paper, we are going to use one of the numerical methods for numerical analysis of pile raft foundation system. There are various factors that influence the behaviour of pile raft foundation, some of the important factor that we are going to see in this paper are raft thickness, pile length, pile spacing and number of piles. All these factors are very important for optimize and economical design of pile raft foundation system. In this paper, numerical analysis has been done by using finite element software that is GEOTECH 3D Foundation to find out the influence of above factors on pile raft foundation system in alluvial soil.
Corrosivity Analysis of Groundwater of Ganeshwar Village in Neemkathana Block of Sikar District (Rajasthan) India
Authors:   SNKP Govt. College Neemkathana, Sikar (Rajasthan), India, Verma Santosh Kumar
Published: November 2023

Corrosion is an important water quality tribulation as it tends to increase some metals in drinking water pipes and fittings, which can also affect the public health. The following items are made from metals like steel, lead and copper or other metals such as: water flowing pipes, storage tanks, solders and pipe fittings etc., and if the water have corrosiveness nature then the metals will be dissolved sometimes in water and these metals creates both problems as aesthetic and health-related in certain cases. The Langelier index (LI), aggressive index (AI), Ryznar index (RI), Puckorius index (PI), and Lar-son-Skold index (LS) are the most common corrosion and scaling indices. The AI is a good scaling index as compared to others and can be used in all parameters. In this study aggressive index (AI) is used. The corrosivity of groundwater of Ganeshwar village of Neemkathana block is taken to evaluate its suitability for human health. For this purpose, groundwater samples were collected during the period of January 2022 to December 2022 from the bore-well of the sampling sites. The physicochemical parameters like pH, total hardness and total alkalinity were selected and tested as per the norms of BIS (IS 10500: 2012) standard and compared simultaneously. The AI indices reveals that the potable water of borewell of Ganeshwar village did not have corrosivity and does not corrosively damage the storage tank and supply water pipes lines and fittings.
Mapping Urban Heat Island Areas in Ibadan
Authors:   Department of Geography, Faculty of Social Science, University of Lagos, Lagos-Nigeria, Oni Feyi
Published: November 2023

Today, across the world many urban areas are experiencing higher temperatures compared to their surrounding rural areas; this difference in temperature is known as Urban Heat Island (UHI). UHI has created temperature hotspots in our urban centers which are known as UHI areas. This study maps Urban Heat Island areas in Ibadan using remotely sensed data for 1984, 2000 and 2011. Land Surface Temperature (LST) and land use land cover characteristics of Ibadan urban were examined. Normalized Difference Vegetation Index (NDVI) was computed for the study area. Correlation analysis was performed, and the results reveals that a negative relationship exist between LST and NDVI. Urban Heat Island (UHI) areas were defined using the land use land cover and LST for 1984, 2000 and 2011. The result further reveals that to map UHI areas, maximum LST and LULC conventionally regarded as UHI areas should be used, such as: high density residential areas, commercial/industrial area, and public/educational institution. The result presents an objective approach adopted to give us a detailed view of places that fall under UHI areas and account for their change through the study years. Based on findings, possible mitigation measures as means of controlling the menace of UHI were highlighted for the study area.
Price Prediction Study of Used Sailboat Based on Random Forest Regression Model
Authors: Liu Miao , Kong Yue , Liu Jun
Published: November 2023

As an ancient means of transportation, second-hand sailing boats are very frequently traded in the market. To accurately price used sailboats, this paper uses multiple linear regression to obtain variables that significantly affect prices based on preprocessed data, and removes variables with lower correlation. Subsequently, the pricing of used sailboats was predicted using random forest regression. To visualize the results, two methods are used: feature importance, and comparing the predicted results with the real results. Finally, the influence of different geographical areas on the price of sailing use is studied to help and guide governments and enterprises to develop development strategies and find effective ways to develop cities and regions more effectively.
Networking and Data Storage Mechanism in Blockchain
Authors: Zheng Xiangwei
Published: November 2023

This paper proposes a blockchain networking scheme based on cloud platform deployment and its adapted data. Firstly, a subnet-based non-all-connection networking scheme is formed, which limits the scope of transaction confirmation to a limited number of nodes. Secondly, the data sharing mechanism of cloud computing divides the data into three levels: transaction data-sensitive state data-non-sensitive state data. The node only saves the transaction data related to the state transition to ensure the non-destructive modification, and the state data is supported by the cloud. The calculated features enable different levels of shared storage, maximizing storage space. The experimental results show that the scheme can provide new ideas for the storage and sharing of trusted data in the blockchain.
OFDM-CR based Power Allocation Algorithm for Radio Systems
Authors: Gu Yan
Published: November 2023

As a matter of fact, both local and foreign academics have focused on the efficient power allocation method for discussion in recent years. With this in mind, the system power distribution method of cognitive radio combined with orthogonal frequency division technology is the subject of this paper's research aims. At the same time, the theoretical foundations of OFDM-CR will serve as the beginning point for this research, which will then focus on three existing power allocation algorithms. To be specific, they are water-filling algorithm, convex optimization algorithm as well as game theory algorithm. Based on the analysis, the paper then uses a table to compare various power allocation methods. Finally, according to the analysis, it makes logical recommendations based on the issues and considers how OFDM-CR technology may develop in the future. Overall, these results shed light on guiding further exploration of wireless communication of OFDM-CR based power allocation algorithms.
Pemberdayaan Kewirausahaan Dan Pelatihan Penyusunan Laporan Keuangan Bagi Komunitas Usaha Minuman Cendol Di Desa Peguyangan Denpasar
Authors: Senimantara I Nyoman , Riasning Ni Putu , Amlayasa Anak Agung Bagus
Published: November 2023

Selected:UMKM memiliki kontribusi yang besar dalam menyediakan lapangan pekerjaan dan pendapatan bagi masyarakat Indonesia. Selain itu, UMKM juga memegang peranan yang signifikan dalam perekonomian seperti penyerapan tenaga kerja, meningkatkan pembentukan Produk Domestik Bruto (PDB), nilai ekspor dan nilai investasi nasional. Peran UMKM sangat strategis dalam pembangunan ekonomi nasional. Salah satu UMKM yang berkntribusi adalah usaha minuman cendol. Keberadaan mitra yang terletak di Desa Peguyangan Kecamatan Denpasar Utara, pada umumnya dikelola secara mandiri. Masalah umum yang dihadapi mitra saat ini adalah dalam mengembangkan usahanya menjadi lebih besar. Produktivitas usaha mitra belum sepenuhnya memenuhi kriteria pasar, sebab dalam ukuran produktivitas usaha mitra tidak didukung dengan sumber daya pengetahuan dan tata kelola keuangan yang baik. Kredit usaha yang disalurkan mitra kepada pihak Bank selaku lembaga penyandang dana terbesar, belum bisa memenuhi tahapan-tahapan ataupun syarat-syarat wajib yang diserahkan oleh pihak bank terkait penyusunan laporan keuangan yang akuntabel dan transparan. Sehubungan dengan adanya permasalahan mitra, maka orientasi program adalah memberikan pendidikan dan pelatihan kepada mitra sebagai pelaku usaha mikro/jasa layanan, agar mampu menyusun laporan keuangannya secara mandiri dan bertanggung jawab. Sehingga kemampuan modal mitra usaha mikro/jasa layanan layak mengembangkan usahanya. Adapun solusi yang ditawarkan oleh pihak pelaksana pengabdian kepada masyarakat adalah penyusunan pelatihan laporan keuangan dengan teknik pembukuan sederhana. Penerapan IPTEKS yang dimaksudkan dalam kegiatan ini untuk membantu para pelaku usaha dalam mengelola keuangan usahanya secara mudah. Dengan maksud dan tujuan diberikannya pelatihan penyusunan laporan bagi mitra ini dapat membantu pelaku usaha dalam mengelola lalu-lintas keuangannya secara profesional. Adapun hasil dari kegiatan pengabdian ini adalah mitra memiliki pengetahuan dan pemahaman mengenai manajemen keuangan serta mampu menyusun laporan keuangan usahanya.
Pengembangan Sistem Digitalisasi Kelompok Usaha Kuliner Pie Susu Melalui Inovasi Produk Dan Pemasaran Di Gianyar
Authors: Setini Made , Pasupati Bayu , Tantra I.G Lanang Putu
Published: November 2023

Permasalahannya adalah pelaku kelompok usaha pie susu ini belum memahami sistem pemasaran dengan baik yaitu sistemdigital, dan pengelolaan pembayaran dan pembukuan dengan baik dengan sistemdigital. Jika dihari raya pesanan akan meningkat hal ini menimbulkan kendala dalampencetakan pie susu karena menggunakan alat yang masih manual, dan proses pengemasan menggunakan kotak karton polos yang tidak memiliki nilai jual sehingga hal ini tidak menceminkan kualitas dan mutu produk. Berdasarkan permasalahan tersebut tujuan pengabdian adalah untuk meningkatkan kemampuan kelompok usaha Pie susu dalam menerapkan sistem pembukuan Akutansi, Pembayaran Digital, menentukan sistem pemasaran berbasis digital, untuk mendorong keberlanjutan kelompok usaha pie susu. Pelaku usaha yang menjadi mitra adalah kelompok usaha Pie Susu Ayana Kichen. Metode yang dipergunakan dalamkegiatan ini adalah metode observasi, metode ceramah, dan pendampingan. Lokasi kegiatan adalah di Gianyar. Adanya pendampingan menghasilkan penjualan pada kelompok pie susu meningkat, produk tampilannya menjadi lebih menarik, dan rasa pie susu lebih bervariasi.
PERMIAN-TRIASSIC BOUNDARY AND EARLY TRIASSIC CONODONTS FROM THE SOUTHERN ALPS, ITALY
Authors: PERRI MARIA CRISTINA , ANDRAGHETTI MIRELLA
Published: November 2023

The Bellerophon (Late Permian) and Werfen (Lower Triassic) Formations were investigated on the basis of conodonts. Fifteen sections were sampled from Carnic Alps and Dolomites area in the Southern Alps. Ten were productive.

The Bellerophon Formation yielded a few specimens of Hindeodus typicalis, Ellisonia agordina and Ellisonia sp.

In the Werfen Formation were collected Hindeodus typicalis, Ellisonia agordina, E. triassica, Hadrodontina anceps, Xaniognathus gradatus, Isarcicella isarcica, Pachycladina obliqua, Ellisonia delicatula, Neospathodus triangularis.

In describing the conodont fauna, multielement taxonomy is applied.

Ellisonia agordina is a new species found at the top of the Bellerophon Formation and from the Tesero to the Siusi Members of the Werfen Formation, i, e. at the Permian — Triassic boundary and in the Lower Triassic. The apparatus of this new species is described. In the Southern Alps the range of Hindeodus typicalis, previously known in the Werfen Formation, extends down into the uppermost Bellerophon Formation. All species confirm the ranges found elsewhere in the world.

On the basis of only the conodont fauna, it is not possible as yet to recognize the position of the Permian — Triassic boundary more precisely in the Bellerophon/Werfen Formations in the Southern Alps. It is obvious, however, that the recovery of Isarcicella isarcica allows the certain identification of the Triassic.
AGE, BIOZONATION AND STRATIGRAPHY OF KAZHDUMI FORMATION OF SW IRAN
Authors: SHAKIB S. S.
Published: November 2023

38 species and subspecies of Foraminifera, five of which are considered to be new, are recorded from Kazhdumi Formation of SW Iran. The recognized microfossil assemblages have proved being useful for biostratigraphic zonation, age determination and correlation of the examined rocks. Two zones and three subzones are proposed. Foraminiferal faunas indicate an Albian age for the Kazhdumi Fm. Lithologic and petrographical studies showed that the formation can be divided into three members.
IL CANYON MESSINIANO DI MALNATE (VARESE); PEDOGENESI TARDOMIOCENICA ED INGRESSIONE MARINA PLIOCENICA AL MARGINE MERIDIONALE DELLE ALPI
Authors: CORSELLI CESARE , CREMASCHI MAURO , VIOLANTI DONATA
Published: November 2023

The sequence exposed in a road cut near Malnate (Varese, North Italy) records Neogene paleoenvironmental changes in the Southern margin of the Alps.

The "Gonfolite" Formation (Oligo—Miocene) was deeply weathered in intertropical wet environment in Late Miocene. During Messinian a deep valley has been excavated into the "Gonfolite". During the Early Pliocene transgression the valley changed to a submarine canyon in which turbidites, slump and sand flows were deposited; molluscs and foraminifera collected in these sediments provide evidence of a warm environment.

At the top of the sequence glaciomarine sediments have been found; they are attributed to a Early Pliocene glacial period which is hypothetically correlated with the general climatic deterioration dating back to 3,2 Myr ago.
BIOSTRATIGRAFIA CON 1 FORAMINIFERI DEL LIMITE FORMAZIONE A BELLEROPHON FORMAZIONE DI WERFEN FRA RECOARO E LA VAL BADIA (ALPI MERIDIONALI)
Authors: PASINI MARIO
Published: November 2023

In thc Southern Alps the boundary between the marine Upper Permian Bellerophon Formation and the Scythian Werfen Formation was believed to coincide with the Permo—Triassic boundary. Almost everywhere in the area from Recoaro (Vicenza) to the Badia Valley (Northern Dolomites) (Fig, l) the lower part of the Wcrfen Fm. is represented by the Mazzin Member dated as Early Griesbachian (Broglio Loriga et al., 1980, 1982; Mostler et al., 1982). The Mazzin Member begins with the Tesero oolitic Horizon (Bosellini, 1964, 1968), which consists of oolitic grainstones with dolomitized ooids and it ig considered to be trasgressive on the Bellerophon Fm. (Bosellini, 1964; Assereto et al., 1973; Cassinis et al., 1979; Farabegoli & Vicl, 1982; etc.). The Upper Bellerophon Fm. has been correlated with the Caucasian Phisonites—comelicania zone (Assereto et al., 1973), today referred to Lower Dorashamian (Rostovtsev & Azaryan, 1973).
PRELIMINARY OBSERVATIONS ON THE UPPER CRETACEOUS CORAL-RUDIST FACIES OF OSTUNI (SOUTH-EASTERN MURGE, APULIA)
Authors: LAVIANO ANGELA
Published: November 2023

The Upper Cretaceous carbonate platform deposits of Ostuni have been studied from a stratigraphical, palaeontological and palaeoecological point of view.

 ln the sequence studied two parts can be distinguished: the Iower one consists of stratified biomicritic limestones with clusters of rudists, other pelecypods and microfauna, represented by ostracods algae and benthonic foraminifers; the upper one consists of a sequence of coral—rudist buildups with banks of calcarenites and calcirudites characterized by trace fossil assemblages, gastropods, rudists, other pelecypods and benthonic and planktonic foraminifers.
NUOVA LOCALITA' FOSSILIFERA A TEREBRATULIDAE (BRACHIOPODA) DEL TITONICO SUPERIORE NEL GRUPPO DELLE TOFANE (BELLUNO)
Authors: BENIGNI CHIARA
Published: November 2023

The present paper is dedicated to a new Terebratulidae locality within a Upper Tithonian unit (Biancone s.l.) near Cortina d'Ampezzo. The investigated area is the Tofane Mountains (Third or Inner Tofana). Terebratulidae come from a biomicrite holding rare planktonic Foraminifera and Tintinnids; Calpionella alpina Lorenz and Crassicollaria cf. intermedia (Durand—Delga) suggest an Upper Tithonian age.

The megafauna consists of Terebratulidae only; borings and epizooic organisms are totally missing. The fossils are rather well preserved; they are extremely frequent and build up a Terebratula Bed.

Three species belonging to the genus Tropeothyris Smirnova, 1972, have been identified, all represented by many specimens juvenile as well. Two species are new to Science: Tropeothyris francescoi SP. n. and Tropeothyris tofanensis SP. n.
Digitalization of RegTech - Critical Review in China
Authors: Li Zixuan
Published: November 2023

With the advancement of technology and the digital development of China's economy, Fintech has steadily integrated into various financial sectors, giving rise to the application of regulatory technology. The article was drawn from an academic perspective combined with practice-oriented research. Begin by tracing the developmental history of regtech, correlating its evolution with various societal development stages, and summarize the digitization process of regtech. The article offers a modular review of regtech applications within China's economic development context, categorizing them into regulatory and compliance technology. Regulatory technology employs emerging technologies such as big data, AI, and cloud computing for real-time surveillance of anomalous market financial data, transitioning from ex-post regulation to ex-ante prediction. Compliance technology encompasses Customer Identity Management, Transaction Monitoring, Financial Risk Alerts, Automated Regulatory Reporting, and Financial Decision-making. This article posits that regtech is no longer exclusively for financial markets but could be applied as a risk-monitoring tool across various industries, proposing novel risk-compliance tools for regulators and compliance officials. In conclusion, the article sets forth the digital transformation requirements for regtech, advocating for digital standardization, enhancement of digital sharing capabilities, algorithmic development and application, and improved digital security. This provides forecasts and tangible suggestions for the digital transformation of regtech.
Learners’ Heterogeneity, Dominant Intelligences, and the Effects of Originality and Innovation in Entrepreneurship
Authors: Rotnitsky Irina , Yavich Roman , Davidovitch Nitza
Published: November 2023

This study examines the association between the heterogeneity of groups of learners, specifically in terms of dominant intelligences, and the novelty and originality of their learning projects in an entrepreneurship project, based on Gardner’s multiple intelligence theory. The main predictors of product novelty and originality were found to be motivation for learning and the number of dominant intelligences in a group. Findings also indicate that the recommended composition of intelligences for groups of learners in the field of entrepreneurship is a combination of bodily-kinesthetic intelligence, intrapersonal intelligence, mathematical-logical intelligence, and musical-rhythmic intelligence. Findings may have implications for entrepreneurship education and for teaching, learning and project assessment practices, with teachers implementing diverse teaching strategies directed at the needs of different learners.
Recurrent Instability after the Latarjet Procedure
Authors: Alkhelaifi Khalid , Alzobi Osama Z. , Mahmoud Shady A. , Zikria Bashir A.
Published: November 2023

The Latarjet procedure is a favored approach for managing chronic and recurrent dislocation, especially in the presence of bone loss. Although generally yielding excellent results, the procedure carries a 15 to 30% complication rate. Although recurrent instability is a major concern, various complications such as infection, nerve injuries, and hardware impingement can also necessitate revision after a Latarjet procedure. Strategies for addressing this issue include glenoid bone grafting, using autogenous bone grafts from the iliac crest or distal clavicle, and allografts, with fresh lateral distal tibial allografts offering advantages because of their osteochondral nature. In addition, soft-tissue procedures offer another solution for recurrent instability, suitable for patients lacking substantial bone loss or those experiencing multidirectional instability. This review aims to provide a comprehensive overview of the causes and management strategies for recurrent instability following a failed Latarjet procedure.
Objective reality in the digital age
Authors: Tharib Safa
Published: November 2023

This paper explores the complexities of objective reality in the digital era, using André Bazin’s theory of realism as a lens. As digital advancements, such as deepfakes and immersive technologies, blur the boundaries between the tangible and virtual, they prompt a re-evaluation of Bazin’s principles on the ‘ontology of the photographic image’. The study critically examines how these digital innovations both challenge and enrich Bazin’s notions of unmediated representation, underscoring the need for a contemporary dialogue on the implications of digital technologies for our understanding of truth and reality.
Purified Protein Derivative Response in Type 1 Diabetics
Authors: K EMRE , TAN Y
Published: November 2023

Aim:
The aims of our study were to identify the role of suppressor T1 helper cells in the immunopathogenesis of type 1 diabetes mellitus (T1D) and to investigate the purified protein derivative (PPD) response, which is a delayed type of skin sensitivity response that develops secondarily to the effect of the T1 helper cell response.
Method:
Twenty-four newly diagnosed patients with T1D were included in the study (12 girls, 12 boys), and 30 (18/12) age/sex matched healthy children were included as controls. All patients underwent the PPD skin test (TST) in the first diagnostic 24–48 h (study group-1) and again 1 month after diagnosis (study group-2). The PPD response was compared with the response of healthy children. The lower limit of PPD positivity was accepted as ≥ 10 mm.
Results:
The mean PPD induration value taken in the study group-2 was statistically greater than both the study group-1 and the control group PPD (p=0.014, p=0.001). Regarding the increase in duration, the PPD positivity rate was statistically higher after the first month than in the control group (p= 0.005) and the initial PPD positivity rate (p=0.023).
Conclusion:
Interesting results emerged for the PPD response of the study group-2, because the PPD positivity rate increased over time.
The Potential of Seizure to Predict Prognosis in Glioblastoma Patients: A retrospective Study
Authors: nerhan G , IL Emin , lar Zeynep , BELEN Ahmet
Published: November 2023

Objective
Glioma, particularly glioblastoma (GBM), represents a prevalent and aggressive primary brain tumor with limited curative options. Epileptic seizures often manifest as a common clinical symptom in these patients, but their prognostic significance remains debated. This study aimed to retrospectively analyze the clinical presentations, tumor characteristics, and the impact of seizures on the prognosis of GBM patients.
Materials and Methods
A total of 113 adult patients with histologically confirmed GBM treated between April 2018 and January 2022 were included in this retrospective analysis. Data encompassed clinical symptoms, preoperative and postoperative seizures, tumor localization, overall survival (OS), and other relevant factors. Statistical analysis was performed to assess the relationships between seizures and various prognostic parameters.
Results
Seizures were present in 39.8% of GBM patients, with 20 patients experiencing both preoperative and postoperative seizures. Preoperative and postoperative seizures were not significantly associated with differences in prognosis (p>0.05). Tumor localization, OS, Karnofsky performance score, and length of hospital stay showed significant differences between patients with and without seizures (p<0.05). Complete resection was achieved in 90.3% of patients, leading to a relatively lower incidence of postoperative seizures.
Conclusion
Seizures in GBM patients are associated with OS, Karnofsky performance score, and hospitalization duration, independently of other factors. The presence of seizures serves as a valuable prognostic indicator for GBM, prompting further investigation into its influence on patient outcomes, quality of life, and socioeconomic aspects of survival. These findings emphasize the importance of early seizure management in GBM patients and the need for tailored treatment strategies.
Enhancing language skills through English novel instruction
Authors: EG Jithin Jenner , A Noble Jebakumar
Published: November 2023

The use of literature, particularly novels, is crucial in English-as-Foreign-Language (EFL) classrooms for language skill development. Education today emphasizes holistic learning, fostering independence, and personality development. This approach requires rethinking traditional teaching methods and considering interdisciplinary aspects. English holds a pivotal role in creativity and communication fields, making it essential for fostering intercultural competence, identity development, altered perspectives, and tolerance. Literature greatly contributes to these goals. The study focuses on the impact of teaching novels in EFL classrooms, determining suitable texts for language learning. Novels are unanimously recognized as an effective tool for instilling reading habits in students. The primary objective of this study is to investigate the novel's potential to enhance students’ language skills, focusing on vocabulary expansion and grammatical structure acquisition. Additionally, the study aims to identify shortcomings in current teaching methods employed for novels in classrooms. Through statistical analysis of tests conducted, this research successfully demonstrates that when novels are methodically and earnestly integrated into linguistic instruction, they significantly contribute to learners’ language development. Despite the importance of novels in language education, their full potential remains untapped due to inadequate teaching approaches. The study reveals a notable disparity between students’ pre-test and post-test scores, highlighting the impactful role of comprehensive and effective novel-based language teaching methods.
Implementation Strategy for Improving Policy Quality at SMP Negeri 1 Sumenep
Authors: Sutrisno
Published: November 2023

This research aims to describe the strategies for implementing quality improvement policies, obstacles to implementing quality improvement policies, and solutions to overcome obstacles to implementing quality improvement policies at SMP Negeri 1 Sumenep. This type of research is descriptive using a descriptive qualitative approach. This research was carried out at SMP Negeri 1 Sumenep, from 19 February 2021 to 16 April 2021. The research subjects were the principal, deputy principal and teachers. Data collection was carried out by observation, interviews and documentation. Data were analyzed using the Miles and Hubberman interactive analysis model, namely data collection, data reduction, data presentation, and drawing conclusions. Meanwhile, the validity of the data was tested by triangulation of techniques and sources. The research results show the following. The strategy for implementing quality improvement policies at SMP Negeri 1 Sumenep has been running in accordance with the objectives of its establishment. This can be seen from several indicators, including standards and policy objectives that have been achieved, supporting resources, communication between school principals and teachers, employees and students running smoothly, interorganizational and inauguration activities running well, the characteristics of implementing agents support, as well as conducive social, economic and political conditions and support strategies for implementing quality improvement policies. Obstacles that arise in the implementation of quality improvement policies are: students' low understanding of the importance of education, the number of teaching staff is inadequate, learning infrastructure is inadequate, and the economic situation of students' parents is at a lower middle economic level. Solutions to overcome obstacles in implementing quality improvement policies are: providing an approach so that students want to continue their education to the next level, looking for substitute teachers according to subjects, providing infrastructure through BOS funds, providing the Smart Indonesia Program (PIP) for students who cannot afford it.
USO DA TECNOLOGIA NOS LITÍGIOS DE PROPRIEDADE INTELECTUAL NO BRASIL
Authors: Nunes de Barros Márcia Maria , Somesom Tauk Caroline
Published: November 2023

O texto trata das experiências tecnológicas recentes no sistema judiciário brasileiro como instrumentos eficientes de realização de justiça e analisa o impacto da utilização das novas tecnologias nos litígios de propriedade intelectual, com ênfase nas varas especializadas em propriedade intelectual da Justiça Federal do Rio de Janeiro – JFRJ e sua adaptação ao distanciamento social.
WEB 2.0 Araçlarından “Kahoot”un İkinci Yabancı Dil Almanca Dersinde Kelime Öğrenimine Katkısı
Authors: KAYACI Muslihiddin Muhammed , ALPEREN Altan
Published: November 2023

Bu çalışmadaki amaç Web 2.0 araçlarından Kahoot’un ikinci yabancı dil Almanca dersinde kelime öğrenimine olan katkısının incelenmesidir. Kahoot, interaktif bir öğrenme platformudur; İkinci yabancı dil öğreniminde kelime öğrenimine önemli katkıları vardır. Öğrencilerin motivasyonunu artırırken kelime haznelerini, anlama ve hatırlama yeteneklerini, iş birliği ve rekabet duygularını geliştirir. Neticesinde öğretmenlerin kullanımını kolaylaştırır. Kahoot, öğrencilerin almanca kelime öğrenme sürecini destekleyerek öğrencilerin aktif katılımını teşvik eder ve öğrenmeyi eğlenceli hale getirir.
Predictors of Subjective Well-Being: Interpersonal Sensitivity, Close Relationship Experiences and Academic Self-Concept
Authors: SAPMAZ Fatma
Published: November 2023

The emphasis on well-being in mental health definitions and the impact of positive psychology studies, it is observed that the interest in the factors explaining the subjective well-being (happiness) of individuals is increasing day by day. Subjective well-being involves cognitive and emotional evaluation of life. These evaluations may vary from one area of life to another and may have positive or negative effects on happiness. For this reason, numerous studies have focused on the relationship between subjective well-being and various aspects of life domains including friendship, romantic relationships, and academic achievement. However, it is noteworthy that the extent and priority of how the dynamics of various life domains collectively contribute to individuals' subjective well-being have not yet to been sufficiently clarified. From this point of view, the present study aimed to investigate the predictive role of the subcomponents of university students' interpersonal sensitivity, academic self-perception and attachment-based experiences in close relationship in their subjective well-being and to determine the priority status of these factors. The participants of the study consisted of 410 (235 female, 175 male) university students between the ages of 18-25. As a result of the correlation analysis, statistically significant relationships were found between all of the sub-dimensions of interpersonal sensitivity, academic self and experiences in close relationship and subjective well-being. The results of the stepwise regression analysis revealed four statistically significant models to explain subjective well-being. At each stage, when the effects of the sub-dimensions included in the previous model were controlled, the explanatory levels of the variables included in the model for subjective well-being were 30% for lack of social self-confidence, 12% for academic effort, 3% for interpersonal anxiety and dependency, and 4% for non-assertive behaviors, respectively. The findings were discussed and supported by the explanations and findings in the literature.
Kayseri Zincidere Village Teachers’ School (1926-1932) Teachers’ Board Decision books (Meclis-i Muallimin) (1929-1932) Review
Authors: KARAGÖZ Savaş
Published: November 2023

One of the first applications for teacher training, which was seen as the locomotive of development and progress, was the issue of training village teachers. In line with this aim, the first village teacher training school was opened in September 1926 in the town of Zincidere in Kayseri. Another village teacher training school was opened in Denizli in 1927. In Turkey, many teachers were trained in just 6 years of education, and these teachers worked in the remotest corners of the country. In line with the possibilities of the period, both theoretical and practical education was provided at the village teacher training schools, which set an example for the Village Institutes to be opened later. This research, which is an examination of the decision book of the Kayseri Zincidere Village Teacher Training School Council (1929-1932), is a qualitative study and was framed with the content analysis technique. Although the school opened in 1926, the existing decision book (1929-1932) was analyzed because the book belonging to the first years of the school could not be reached. Because of the examination, it was seen that topics such as "status of one-month education, actions to be followed, disciplinary situation, books and stationery, instructions, examinations, curriculum program, discussion of one of the lessons", which will set an example for today’s teachers’ council, were emphasized. In addition, in line with the information obtained, the structure, functioning, and practices of the teachers’ boards of that period also lead to the idea that the issues discussed are more effective and efficient than the structure, functioning, and practices of today’s teachers’ boards.