bluuebunny/crossref_metadata_2025 huggingface dataset:
Bibliometric Analysis and Predictors of Citations for Publications of a Higher Institution
Authors: Alrawashdeh Ahmad , Al-Dekah Arwa M. , Kheirallah Khalid A.
Published: January 2024

Purpose: This study aims to depict the productivity and impact of publications affiliated with Jordan University of Science and Technology (JUST), and to identify bibliometric factors associated with the number of citations. Methods: Using keywords and identification numbers, Scopus and Web of Science were searched for all publications affiliated with JUST from 1987-2022. The retrieved data was imported, cleaned, visualized, and analyzed using stataIC 16, Excel 395 software, and VOSviewer software. The bibliometric analyses were conducted for types of publications, year of publications, type of journals, faculties, departments, faculty members, and most cited publications. Networking analyses were also conducted for international collaboration and keyword analysis using VOSviewer. Univariable and multivariable Poisson regression models were conducted to estimate the impact of several bibliometric factors on citation numbers. Results: A total of 16,830 publications were affiliated with JUST and published between 1986 and 2022. The total number of citations was 330,046. The average citation per publication was 19.6 and the institutional h-index was 165. Most publications were original articles (81.8%) and 71.7% were published in traditional (non-open) journals. Publication and citation numbers increased steadily, until 2013, and then exponentially, afterward. ? The Faculty of Engineering had the highest number of total publications (4,593), while the Faculty of Medicine had the highest number of total citations (148,384). Professor Yousef S. Khader ranks first as JUST's influential faculty? with 640 publications and 110,777 citations. Factors contributing to higher incidence rate for citations include years since publication, indexing in Scopus and WoS, reviews, publication in open-access journals, and collaboration. Network analysis revealed significant clusters of authors and keywords, with strong connections to the United States and Saudi Arabia. Conclusion: The productivity nd impact of JUST publications have improved annually for all faculties and departments. ?However, this improvement seems to be limited and can be explained by several factors. Further improvements in research productivity and impact are needed by implementing relevant strategies such as collaboration and interdisciplinary research, publishing in high-impact journals, considering open-access publishing, considering the potential societal impact of research, increasing visibility and reputation through appropriate affiliations, publishing review articles, and monitoring research output over time.
Prediction of Purchase Intention for Medical Cannabis Products: Case Study in Medellín Colombia
Authors: Duque-Grisales Eduardo , Mejía Jennifer , Villada Daniela , Serna-Guarín Leonardo , Becerra Miguel A.
Published: January 2024

This article provides information on the level of acceptance of medical cannabis, the intention to use it and the factors involved in the decision-making process of individuals. Despite the studies developed for the use of medicinal cannabis, it has some difficulties to enter the market due to existing prejudices as a recreational drug. In order to provide valuable information to make the right decisions and generate marketing strategies, the relationships between the use of medical cannabis and the Theory of Planned Behavior in the purchase and consumption decision are explored using factor analysis techniques, and relevance analysis. Besides, a purchase intention prediction model based on machine learning is proposed. The results show that the dimensions ”attitudes” and ”perceived behavioral control” have a positive and statistically significant relationship with consumption and purchase. The purchase intention prediction model achieved a performance with an accuracy greater than 94%.
A Survey on Fault Identification System in OTN using Neural Network
Authors: Pardhi Ravindra Laxman , Dhande Sheetal S. , Govindwar Ganesh D. , Pande Ankita V.
Published: January 2024

The diversity of information and services that are sent via optical networks is growing day by day, hence the survivability of optical networks has emerged as a significant research issue in recent years. The location of the fault in an optical transmission network (OTN) is very important when investigating the survivability of optical networks. The first step is to create network model with three channel, after which it is necessary to analyze common alarm data, as well as fault monitoring points and common fault sites. The fault location field of OTN incorporates the artificial neural network (ANN), which is used to identify whether or not a probable fault site is present. In this paper, we had done a review of earlier research work in this field and identified the research gap in the introduction of neural networks into the area of fault identification in optical transport networks.
Montoya Rivas, Gustavo. La independencia controlada. Guerra, gobierno y revolución en los andes
Authors: Trujillo Isaac
Published: January 2024

Hasta hace algunos años, la historiografía de la independencia del Perú se caracterizó por la falta de estudios que, dejando de lado la exaltación patriótica, aborden la participación indígena durante la guerra, tomando en cuenta sus intenciones o motivaciones políticas, y, sobre todo, por la ausencia de una interpretación que intentase comprender esta participación. En tal sentido, el libro escrito por el historiador Gustavo Montoya, se aproxima a la independencia desde una nueva perspectiva; no desde las decisiones políticas de las élites criollas, sino desde las que tomaron los indígenas en la guerra.
Talancha Crespo, Eliseo. (2021). Rupa Rupa. Historia de una frustrada invasión española
Authors: Zavala Córdova Gonzalo
Published: January 2024

La historia de la conquista española de los territorios americanos está bastante bien documentada: crónicas, relaciones, cartas y documentos administrativos relatan aquellos hechos que signaron, durante siglos, el desarrollo histórico de las sociedades indígenas de este continente. A su vez, la historia andina centró su atención, principalmente, en el establecimiento del gobierno hispano y la incorporación de las poblaciones indígenas, dejando de lado, por muchos años, la conquista colonial de la selva de los Andes centrales. Esta situación se corrigió, en años relativamente recientes, gracias a investigaciones históricas y antropológicas (como las de Thierry Saignes, Frederica Barclay, Fernando Santos Granero, o Pablo Sendón, entre otros) que produjeron una imagen mucho más dinámica de las sociedades andinas y amazónicas, de los intercambios e influencias entre estas y de los procesos sociohistóricos que la Amazonía enfrentó ante los estados virreinales y republicanos.
Old anatomy and new anatomical concepts for single shot and continuous spinal anesthesia
Authors: Imbelloni Luiz Eduardo , Gouveia Marildo A , Neto Sylvio Valença de Lemos , Casali Tolomeu A A
Published: January 2024

This educational article shows the anatomy studied in cadavers and the latest imaging technology for spinal anesthesia. Neuraxial anesthesia is one of the regional anesthetic options that can be done by blocking the spinal cord neural transmission through the administration of local anesthetics either via intrathecal, epidural, continuous spinal anesthesia, or combined epidural-spinal anesthesia. Several descriptions of the spinal canal anatomy have been reported since the 16th century by Leonardo da Vinci, and the use of modern radiological imaging technology has provided important insights into understanding anatomical and pathophysiological aspects implicated in spinal anesthesia. The vertebral level at which the spinal cord finishes varies widely from T12 to the L3-L4 intervertebral disc and the spinal cord extends to the L1-L2 and the L2-L3. In this educational study, cadaver anatomy and new approaches with ultrasound, magnetic resonance imaging, computed tomography, and fluoroscopy will be covered, to approach spinal and continuous spinal anesthesia. Between the medulla and any given level of the spinal cord, the fibers of the anterolateral system and posterior columns are dissociated. Despite all the new imaging studies to assist in performing subarachnoid punctures for single shot or continuous spinal anesthesia, anatomical landmarks remain the most used for both the lumbar and thoracic approaches.
Syncope as a symptom of COVID-19 infection related to maxillofacial trauma at the emergency room door
Authors: Radzinski Felipe Kornecki , Maria Victoria Noria Curbelo
Published: January 2024

This article presents the case of an 84-year-old female patient who experienced syncope as a symptom of COVID-19 infection. The patient was admitted to the emergency room with maxillofacial trauma resulting from the syncope episode. The study highlights the importance of considering syncope as a possible indicator of COVID-19, even in the absence of typical symptoms. Collaboration between medical specialties, particularly oral-maxillofacial surgeons, is crucial for accurate diagnosis and management of such cases. This case underscores the connection between syncope, maxillofacial trauma, and COVID-19 infection, emphasizing the need for awareness and collaboration in these scenarios.
Odpowiedzialność karna za czyny powiązane z działalnością patostreamerską. Odpowiedzialność karna patostreamera
Authors: Ziobroń Agata
Published: January 2024

Patostreaming rozumiany jest jako publikowanie w Internecie treści patologicznych w celu zdobycia pieniędzy lub popularności w sieci. Zachowania patostreamerów, nie tylko naruszają normy społeczne, ale również mogą być kwalifikowane jako przestępstwa i wykroczenia[1]. Z uwagi na obszerność problematyki, w opracowaniu uwaga zostanie poświęcona jedynie patostreamom jako przestępstwom. Kwestia ta zostanie również rozważona przez pryzmat demoralizacji nieletnich aktywnych widzów patostreamów, zważywszy na fakt, że takie treści największą oglądalnością cieszą się wśród osób młodych, nastolatków[2]. Należy w związku z dynamicznym rozwojem patostreamingu rozważyć wprowadzenie typu czynu zabronionego demoralizowania małoletniego, jednak odmiennie niż np. w Azerbejdżanie – precyzując znamiona celem dopasowania go do specyfiki konkretnie tego zjawiska.

 

[1] Obecnie trwają konsultacje w sprawie projektu ustawy, która ma wprowadzać penalizację patostreamingu. https://www.chip.pl/2023/05/wiezienie-za-patostreaming-nowa-ustawa (dostęp: 08.05.2023r.)

[2]D. Ołownia, Patostreaming jako zjawisko patologiczne i dewiacyjne, „iNFOTEZY” 2021, nr 2, s. 65.
Usunięcie kary 25 lat pozbawienia wolności z katalogu kar Kodeksu karnego
Authors: Pańczyk Łukasz
Published: January 2024

Ustawa z dnia 7 lipca 2022 r. o zmianie ustawy kodeks karny oraz niektóry innych ustaw jest jedną z największych nowelizacji polskiej ustawy karnej od lat. Wniesie ona do polskiego kodeksu karnego wiele istotnych zmian. Artykuł skupi się wokół modyfikacji katalogu kar (obecnego art. 32 kodeksu karnego) polegającej na uchyleniu kary 25 lat pozbawienia wolności przy równoczesnym rozszerzeniu granic zwykłego pozbawienia wolności, ustanawiając nowe ramy zagrożenia karą na czas od miesiąca do 30 lat pozbawienia wolności. Autor zwięźle przedstawi podstawowe w jego ocenie wątpliwości i kontrowersje związane z nadchodzącą nowelizacją w zakresie wyżej wskazanym, podejmując próbę analizy ratio legis usunięcia kary 25 lat pozbawienia wolności z polskiego porządku prawnego.
The role of law textbooks in the teaching and application of methods of legal interpretation in Poland (in historical and contemporary perspective)
Authors: Siemińska Anna
Published: January 2024

The purpose of this article is to explain the role of legal interpretation in Poland in the context of its teaching and application, resulting from the way legal interpretation is presented in law textbooks. This explanation is based on the following theses: (1) the contemporary way in which law is taught in Poland, in particular law interpretation and its impact on the application of law, is due to historical and political conditions. (2) Polish law textbooks do not show the political and worldview context of the law, which results in an unawareness of the legal-political role of legal interpretation, (3) the current state of Polish law teaching, in particular textbooks, contributes to an increase in the importance of the so-called judicial interpretation and the related threats to the teaching and application of law. Clarification of the indicated theses will not only allow us to understand the current role of law textbooks in teaching the method of civil law interpretation, but also to show the potential direction of development of legal theory. It is therefore important to pay attention to the broader context, which is the way law teaching is practiced in Poland and its impact on the application and development of law, as well as on legal awareness and the level of legal culture.
Assessment of the regional composition of juvenile chum salmon mixed aggregations in the Sea of Okhotsk based on results of genetic assay
Authors: Denisenko A. D. , Muravskaya U. O. , Pilganchuk O. A. , Shpigalskaya N. Yu. , Savenkov V. V. , Zikunova O. V.
Published: January 2024

Genetic differentiation of chum salmon in the basin of the Sea of Okhotsk is demonstrated. Eight microsatellite loci (Ssa20.19, One101, Oke3, Oki1b, Oki23, Ogo2G, Oke11, Ots102) were used as genetic markers. Four original genetic regions of chum salmon reproduction have been figured out: West Kamchatka and northern part of the continental coast of the Sea of Okhotsk, Sakhalin, Ithurup (the Kuril Islands), the Amur basin, where the part of juvenile fish was found as a result of genetic identification in the mixed aggregations in the early period of marine feeding. The resolution ability of the reference database was within the limits 74.9–94.6 %. It was demonstrated based on results of the genetic identification, that juveniles from West Kamchatka and northern part of the continental coast of the Sea of Okhotsk dominate in the northern part of the Sea of Okhotsk. Majority of individuals examined in the central zone of the survey area (54 %) was from the Kuril Islands. A number of juvenile chum salmon from the Amur River basin and Sakhalin were recorded at the stations in vicinity of Sakhalin coast.
First data on the occurence and ecology of Giant hookear sculpin Artediellus ingens (Cottidae) off the Kuril Islands
Authors: Kurbanov Yu. K.
Published: January 2024

Based on materials collected during monitoring of bottom trawl fishing, the occurrence, some aspects of ecology and size composition of giant hookear sculpin Artediellus ingens were examined for the first time off the Middle Kuril Islands. It has been established that this species is a regular bycatch at the depths 250–488 m at the temperature of the near-bottom water layer of 1.8–3.9 °C. Most likely A. ingens belongs to mesobenthal ichthyocene. In the trawl catches, this species is represented by individuals of 10–19 cm TL. Comparison of the maximum body length with that of the other species of the genera Artediellus indicated this species is one of the largest.
Sustainability challenges of clean-energy critical minerals: copper and rare earths
Authors: Paleologos Evan K , Mohamed Abdel-Mohsen O , Singh Devendra N , O’Kelly Brendan C , Gamal Maisa El , Mohammad Ameera , Singh Prithvendra , Goli Venkata S N S , Roque António J , Oke Joy A , Aboel-Naga Hossam , Leong Eng-Choon
Published: January 2024

The transition to a clean-energy economy in an effort to mitigate climate change has brought a need for intense mining exploration of a critical class of minerals, previously mined and used at a fraction of what is required today and for the upcoming decades. For some common metals, such as copper, major deficits are forecasted for 2030, and for some less common ones, such as rare earths, mined quantities have recently increased 32 times relative to those in the mid-1950s and are expected to increase sevenfold from current levels by 2040. This situation is expected to become more severe given the long time span needed for exploration of new sites, the declining ore grade of existing mines, the geographical distribution of these minerals and the environmental degradation caused by mining and mineral processing activities. It becomes, hence, critical to improve existing mining operations vastly, reduce waste volumes and fresh water use, reduce environmental impacts and recover increased quantities of minerals from mine tailings, as well as from the recycling of post-production products. This paper focuses on copper and rare earths to expound on their exploitation issues, their processes, the sustainable utilisation of mineral waste and tailings and their recovery from end-of-life consumer and industrial items.
Hysteretic water-retention behaviour of unsaturated hydrophobised soils
Authors: Zhou Zheng , Karimzadeh Ali Akbar , Leung Anthony Kwan , Fok Sum Yin
Published: January 2024

Hydrophobised soils found in the superficial region of earthen infrastructure can affect the hydrological processes of these structures. The hysteretic water-retention curve (WRC), which governs these processes, for hydrophobised soils has rarely been reported. Existing apparatus is unable to measure the WRC of unsaturated soils as it could not control the condition of pore water pressure (uw) in excess of pore air pressure (ua) when the contact angle was larger than 90°. In this study, a new apparatus was created, which sandwiches a soil sample between a high water-entry value (WEV) membrane and a high air-entry value (AEV) ceramic disc, to control the uw < ua and uw > ua conditions. Contact angle hysteresis and menisci evolution in the test materials during wet–dry cycles were measured to interpret the WRC. The WEV of soil increased with decreasing chemical heterogeneity and particle size. When drying the hydrophobised soils, they could retain water before reaching a certain negative uw. The WEV identified from the second wetting cycle was lower than that from the first cycle, whereas the AEV remained largely unchanged. The WEV and AEV decreased when the particle size of the hydrophobised materials was increased, resulting in a smaller hysteresis size.
The status of verbal theme vowels in contemporary linguistic theorizing: some recent developments. An introduction.
Authors: Kovačević Predrag , Antonyuk Svitlana , Quaglia Stefano
Published: January 2024

Contemporary theoretical approaches to morphology have devoted considerable attention to verbal theme vowels, i.e., the issue of whether they can be shown to possess identifiable syntactic or semantic properties. The position that theme vowels are items without syntactic or semantic import has profound theoretical consequences, entailing the existence of an autonomous component of Grammar dedicated to Morphology (Aronoff 1994, Anderson 1992, Embick and Halle 2003). Approaches that dispense with a separate morphological module must assume that theme vowels do, in fact, have discernible semantic contributions (Jabłońska 2004, 2007). In this paper, we review the arguments from both sides in order to set the stage for and critically examine a series of new contributions published in this Special Collection. On balance, evidence of a link between theme vowels and particular meaning components (either aspect or argument structure) can be observed, though only in the form of (often very strong) tendencies, which figure most prominently in ‘minimal pairs’ of verbs differing only in their theme vowel. We highlight this observation and the methodological approaches that were employed to extract it (quantitative corpus or experimental studies) as the main contribution of this Special Collection and discuss the theoretical significance of this finding. Our position is that it cannot be taken as a falsification of the view that theme vowels are ‘pure morphology’, to the extent that it would require proof of a perfect correlation between theme vowels and a particular semantic property. At the same time, following Marantz (1997) we consider the possibility that categorial rules are not necessarily to be expected in structures involving only a root and a little v, highlighting an innovative approach in terms of markedness hierarchies where aspect/argument structure is only one factor determining theme vowel selection (Milosavljević and Arsenijević 2022) as a possible way of deriving non-categorial rules observed in other papers from a mix of morphosyntactic and phonological factors.
THE INTRODUCTION OF “FREE, PRIOR AND INFORMED CONSENT” TO THE LAND REFORM LEGAL LEXICON Baleni v Minister of Mineral Resources 2019 (2) SA 453 (GP)
Authors: George Barrie
Published: January 2024

Although decided four years ago, Baleni v Minister of Mineral Resources (2019 (2) SA 453 (GP) (Baleni)) stands out regarding four significant features and it remains surprising that the decision has not attracted more attention in connection with the land-reform programme. The first feature was the interpretation of the Interim Protection of Informal Land Rights Act 31 of 1996 (IPILRA). The second feature was the emphasis on customary law in the interpretation of IPILRA. The third feature was the application of multiple international-law instruments in the interpretation of IPILRA. The fourth feature was the court’s conclusion that these international-law instruments determine that no decisions may be taken regarding the lands of indigenous peoples without the latter’s “free, prior and informed consent” (FPIC). This conclusion has far-reaching implications for the South African land-reform process introduced by section 25 of the Constitution of the Republic of South Africa, 1996 (the Constitution).
DISTINGUISHING THE FORMS OF COMMON PURPOSE LIABILITY S v Govender 2023 (2) SACR 137 (SCA)
Authors: Shannon Hoctor
Published: January 2024

In the case of S v Govender (2023 (2) SACR 137 (SCA)), the Supreme Court of Appeal (SCA) was required once again to examine the common purpose doctrine, which although it has been in use in South African law for the past century, has in recent years seen significant development, in its expansion from being applied solely to a prior agreement, to also being applied in the case of an active association between two or more persons. The importance of distinguishing between these different forms of the common purpose doctrine has concomitantly also become increasingly important.As the court points out in S v Mzwempi (2011 (2) SACR 237 (ECM) par 56), prior-agreement common purpose encompasses “any conduct which falls within the wide and general common design”, whereas active-association common purpose is “restricted to particular conduct”. Thus, in active-association common purpose, the association is with a “specific act” by which the crime was committed by another participant in the common purpose. It follows that, given the “marked differences” between the two forms of common purpose:“in a case where the state seeks to place reliance on the doctrine of common purpose, the trier of fact will be required to determine the nature of the common purpose relied upon, what the scope of that common purpose happened to be, and whether the accused was a participant, and remained a participant, in the common purpose.”The discussion examines the significance of the distinction between the different forms of common purpose doctrine, in light of the SCA judgment in the case of Govender.
СОЦИАЛЬНО-ПОЛИТИЧЕСКИЙ КОНСТРУКТИВИЗМ: МЕТОДОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ИССЛЕДОВАНИЯ ПРОЦЕССОВ МОДЕРНИЗАЦИИ
Authors: Керимов Олег Юрьевич
Published: January 2024

Целью исследования является анализ теоретико-методологической специфики базовых принципов социального и политического конструктивизма как парадигмы изучения и стратегического планирования модернизационных процессов в социальной и политической сфере.

Методологическую базу исследования составляют положения теории социального и политического конструктивизма, а также методы сравнительного анализа.

Результаты исследования. В то время как социально-технологическая и социокультурная парадигмы модернизации ориентируют на «естественный», эндогенный, длительный, эволюционный процесс перехода от традиционного типа общества к модерному, то социально-политический конструктивизм как подход к преобразованиям предполагает разработку проектов переконструирования социальных и политических институтов на основе конструирования и обновления символических оснований политики. При этом субъектом конструирования выступают правящие политические элиты. Несмотря на то, что в рамках социально-политического конструктивизма возможны вариативные сценарии модернизации незападных обществ — радикальный, либеральный, консервативный, с соответствующей направленностью конструирования смыслов и их объективизации в институциональных структурах, все эти сценарии имеют в своей природе дирижистские представления о политической воле коллективного субъекта преобразований как достаточном основании для инициирования и эффективного осуществления модернизации. Современные социально-политические конструктивистские проекты являются дирижистскими в силу лидирующей роли государства и политических элит как инстанции, осуществляющей выбор и директивную реализацию модернизационного проекта.

Перспективы исследования определяются тем, что социально-политический конструктивизм является не только теоретической парадигмой, но и концептуальной базой дирижистских стратегий осуществления модернизационных преобразований. Это связано с тем, что в основе конструктивизма лежит базовое представление о неограниченной пластичности общества и его политических институтов.
Решения внутригосударственных судов по искам о понуждении к сокращению выбросов парниковых газов: пространство дискреции государств
Authors: Ровнов Юрий Евгеньевич , Кинзикеева Камилла Рустемовна
Published: January 2024

В 2022–2023 годах в Международный трибунал по морскому праву, Международный Суд и Межамериканский суд по правам человека поступили запросы о вынесении консультативных заключений об обязательствах государств по защите климатической системы Земли от антропогенных выбросов парниковых газов. За официальными формулировками запросов скрывается вопрос о том, сформировалась ли международно-правовая норма, обязывающая государства действовать более амбициозно в сфере смягчения антропогенного воздействия на выбросы парниковых газов, чем это предусматривает Парижское соглашение и поданные к настоящему времени «определяемые на национальном уровне вклады» (далее — ОНУВ). На аналогичный вопрос, но в сфере внутригосударственного права, уже успели ответить суды ряда государств. Самыми известными являются решения нидерландских судебных инстанций, которые предписали нидерландскому государству обеспечить сокращение совокупных выбросов парниковых газов страны к концу 2020 года до уровня на 25 % ниже 1990 года, а крупнейшему юридическому лицу страны Royal Dutch Shell — сократить выбросы CO2 по всей товаропроводящей цепи к концу 2030 года до уровня на 45 % ниже 2019 года. В основу исковых требований истцов и решений судов по таким делам ложатся, прежде всего, доклады Межправительственной группы экспертов по изменению климата (далее — МГЭИК) AR4, AR5 и SR15 и содержащиеся в них оценки о необходимых уровнях сокращения выбросов. Но если остроту климатической проблемы внутригосударственные суды оценивают одинаково, их выводы относительно юридических обязанностей государств разнятся. Решения нидерландских судов, полностью заимствовавших цифры сокращений из докладов МГЭИК, являются скорее исключением, чем правилом. В статье рассмотрены различные подходы внутригосударственных судов к толкованию обязанности государств в сфере сокращения выбросов парниковых газов: описаны мотивы, положенные судами Нидерландов в основание вышеупомянутых постановлений, и представлена альтернативная точка зрения судов иных государств, в частности Конституционного суда Германии и судов первой и апелляционной инстанции Брюсселя (Бельгия). Сделаны выводы о том, какие вопросы, вероятно, встанут перед международными судами при вынесении консультативных заключений в свете рассмотренной практики внутригосударственных судов.
Moral Damages in International Investment Law
Authors: Польшакова Виктория Владимировна
Published: January 2024

This article discusses the notion of moral damages in international investment arbitration. Although there are currently more than 2500 bilateral investment agreements (hereinafter — BIT) in force, none of them regulates moral damages. The analysis focuses on the historical background of moral damages, which shows that international law has not been overly concerned with their assessment within the last hundred years. As such, despite their almost universal acceptance by international courts and tribunals, there is still no guidance for tribunals on how to approach moral damages, making their assessment a topical issue of modern international law. The article highlights the reasons tribunals give for either completely disregarding such claims, or granting merely symbolic sums, such as non-tangible nature of moral damages, lack of any concrete evidence, or an extremely high threshold. The author concludes that international law still lacks a strict and uniform test, when it comes to moral damages, which are bound to face rather broad and subjective decisions rendered by the tribunals. The author further discusses the problem of assessing moral damages, which also lacks established methodology, and often refers to national law of domestic legal systems instead of a unified standard. In some cases, tribunals do not provide any reasoning or legal basis for their assessment. The author concludes that in the absence of a strict test, investment tribunals may turn to human rights instruments to make the assessment of moral damages clearer and more consistent.
Sistem informasi pengelolaan data simpan pinjam pada koperasi gardenia kebun raya cibodas
Authors: Fitriana Nissa Nur , Rahmaty Myrna Dwi
Published: January 2024

Instansi dapat dikatakan berhasil apabila mampu memberikan pelayanan yang baik. Untuk mencapai keberhasilan tersebut, instansi dapat memanfaatkan teknologi informasi untuk meningkatkan efisiensi pelayanan. Sistem yang berjalan di koperasi Kebun Raya Cibodas dinilai masih belum bekerja secara optimal dalam proses pencatatan dan pengolahan data maupun laporan di bidang keuangan karena  pencatatan masih dilakukan secara manual dimana data simpan pinjam anggota ditulis ke dalam buku besar. Oleh karena itu, tidak jarang anggota tidak mengingat besaran simpanan maupun angsuran pinjaman yang ditanggungnya. Maka perlu adanya sistem informasi yang bertujuan untuk mempermudah kinerja pegawai dalam penyusunan data koperasi. Metode penelitian yang digunakan yakni metode pendekatan objek serta menggunakan metode pengembangan prototipe. Penelitian ini menyelesaikan permasalahan yang ada dengan merancang dan membangun sistem informasi koperasi yang bertujuan untuk mempermudah kinerja pegawai Koperasi Gardenia dalam penyusunan data koperasi disertai dengan pembuatan laporan secara otomatis, dan serta memberikan informasi data simpan dan pinjam pada anggota melalui pesan singkat (SMS).
Novel MobileNet based Multipath Convolutional Neural Network for defect detection in fabrics
Authors: Gnanaprakash V Et al.
Published: January 2024

Automatic fabric defect detection and classification is the most important process in the textile industry to ensure the fabric quality. In the existing systems, a learning based method is used for detecting defects in plain weave fabrics. In this paper, a novel MobileNet based Multipath Convolutional Neural Network (MMPCNN) architecture is proposed for detection and classification of simple and complex patterned fabric defects. In the proposed MMPCNN architecture, MobileNet model is used in the first path. In this, Gabor filter bank is used instead of conventional filters in the first convolution layer. A simple convolutional neural network architecture with Gray Level Co-occurrence Matrix (GLCM) features as an input is used in the second path of the MMPCNN architecture.  Gabor filters are more useful for analyzing the texture with different orientations and scales. Each Gabor filter parameter has its own impact on analyzing the texture and extracting the information from the texture. Therefore, in this paper, the use of Gabor filter parameters in MMPCNN architecture is analyzed. The proposed model is experimented on the TILDA textile image database and it is able to achieve 100% accuracy with reduced trainable parameters for fabric defect detection and classification.
Enhancing QoS Performance for Cell Edge Users Through Adaptive Modulation and Coding in IEEE 802.11ac WLANs
Authors: Wan Norsyafizan W. Muhamad Et al.
Published: January 2024

Wireless communication networks, such as IEEE 802.11ac Wireless Local Area Networks (WLANs), often encounter challenges in providing consistent Quality of Service (QoS) to users situated at the cell edge. The inherent variations in channel conditions, particularly lower signal-to-noise ratios (SNRs) in these regions, lead to compromised data rates and reliability, resulting in significant degradation of throughput. This study presents an innovative solution in the form of an Adaptive Modulation and Coding Scheme (AMCS) algorithm tailored to enhance QoS performance for cell edge users. The primary objective of the AMCS algorithm is to optimize QoS by dynamically adjusting the transmission data rate based on the observed channel conditions, quantified using SNR as a channel state indicator. Conventional approaches might unilaterally select the lowest data rate in challenging conditions, prioritizing reliability at the expense of throughput. However, the proposed AMCS algorithm takes a distinct approach by intelligently determining the Modulation and Coding Scheme (MCS) that offers an optimal balance between throughput and reliability for the given SNR level. To achieve this, the algorithm utilizes real-time SNR measurements to select an MCS that ensures a stable connection while also maintaining an acceptable data rate. By adapting the MCS based on the current SNR, the algorithm aims to mitigate the adverse effects of poor channel conditions experienced by cell edge users. The innovation of the AMCS algorithm lies in its ability to make dynamic adjustments, allowing users to experience improved data rates without compromising connection stability. Through extensive simulations and evaluations, the proposed AMCS algorithm showcases its efficacy in enhancing QoS performance at the cell edge. The algorithm's adaptive approach successfully achieves higher data rates and improved reliability by selecting appropriate MCS configurations tailored to the observed SNR levels. This innovative technique provides a promising solution to the challenge of striking the right balance between throughput and reliability in wireless communication networks, ultimately leading to an improved user experience for those at the network's periphery.
Automated Leopard Alert And Reporting Mechanism Using Deep Learning
Authors: Neha Vora Et al.
Published: January 2024

Today, rapid infrastructure development is taking place in major metropolitan cities, but unfortunately, this progress often involves the destruction of forest reserves, leaving wild animals homeless. The resulting environmental invasion forces these animals to venture into the cities, posing threats to citizens. In Mumbai, there have been numerous sightings of leopards and other wild animals near forested areas. Leopards have been known to attack street dogs, people, and vehicles, making it necessary to work on this problem. This paper suggests the utilization of deep learning models and object detection techniques to detect leopards and other potential threats. By integrating this technology with security applications, citizens can be made aware of the existence of wild animals in their vicinity. This research primarily focuses on addressing the concern of leopard sightings in Mumbai. The objective is to automate leopard detection and reporting using an object detection algorithm. In the proposed system, images of leopards are collected from an existing dataset available on Roboflow, comprising a total of 1000 samples. The proposed model's performance is evaluated using Mean Average Precision (mAP) & detection speed. The proposed method achieves an impressive mAP of 95.9% at a speed of 37 frames per second.
Image Coding based Orthogonal Polynomials Multiresolution Analysis with Joint Probability Context Modeling and Modified Golomb-Rice Entropy Coding
Authors: Puli Vinay Kumar Et al.
Published: January 2024

The work proposes, a JPEG2000 like compression technique which is  based on multiresolution analysis of orthogonal polynomials transformation (OPT)  coefficients has been presented with bit modeling for Golomb-Rice entropy coding. Initially, the image under analysis is divided into blocks and OPT is applied to each divided blocks. Then, transformed coefficients are represented as sub bands like structure (multiresolution) and scalar quantization is carried out to the transformed coefficients to reduce the precision. The quantized coefficients are then bit modelled in the bit plane using a joint probability statistical model, and significant bits in the bit plane are chosen. On the selected relevant bits, a geometrically distributed set of context is modelled for further encoding with modified Golomb-Rice encoding to provide compressed data. The decompression procedure is just the reverse of compression procedure. Experiments and analysis are carried out to demonstrate the efficiency of the proposed compression scheme in terms of compression ratio and Peak-Signal-to Noise Ratio (PSNR), and the results are encouraging
Skin Cancer Detection in Deep Learning Using Restnet-50 Model
Authors: A. Vijayaraj Et al.
Published: January 2024

Pore and skin cancers are one of the riskiest types of cancer. DNA is a type of nucleic acid. Breaks in skin cells that do non get fixed cause genetic flaws or mutations in the skin, which is how skin malignancies develop. Pores and skin cancers have the inclination to step by step spread over different bits components, so i curable in initial ranges, which is why it's far more peasant to detect at early ranges. Due to the increased prevalence of skin cancer, its high mortality rate, and the high price of medical treatments, it is crucial to understand the early warning studies signs of skin cancer. Due to the importance of these issues, researchers take created a variety of primary detection techniques for skin and pore cancers. The characteristics of a lesion include its symmetry, colouring, duration, form, and so on. Are used to discover most cancers and differentiate benign pores and skin cancers from most cancers. This paper gives an in-depth systematic overview of deep studying techniques for detecting pores and skin cancer early. Study papers posted popular nicely-reputed periodicals, appropriate toward the problem of pores and pores and skin most cancers diagnosis had been analysed. Study results are provided in equipment, charts, stands, strategies, as well as models for higher data.
A Comprehensive Survey on Different Machine Learning Approaches for Breast Cancer Prediction based on Medical Imaging Modalities and Microarray Gene Expression.
Authors: Md. Faisal Bin Abdul Aziz Et al.
Published: January 2024

Cancer is a complex global health problem that causes a high death rate. Breast cancer (BC) is the second most common death-causing disease in women worldwide. BC develops in the cells of the ducts or lobules of the glandular tissue when breast cells become uncontrollably proliferative. It can be controlled if diagnosed early enough. There are many techniques used to diagnose or classify BC. Machine learning (ML) has a significant effect on BC classification. This article provides a comparative study of different ML approaches for BC prediction based on medical imaging and microarray gene expression (MGE) data. DT, KNN, RF, SVM, Naïve Bayes, ANN, etc. perform much better in their respective fields. Another method named ensemble, incorporates more than one single classifier to solve the same problem. The study shows how ML with supervised, unsupervised, and ensemble learning might help with BC prognosis. This paper observes ensemble methods provide better performance than a single classifier. Finally, a comprehensive review of various imaging modalities and microarray gene expression, different datasets, performance metrics and outcomes, challenges, and prospective research directions are provided for the new researchers in this fast-growing field.
Stylometric Analysis of Genre in Hindi Literature
Authors: Vibha Tiwari Et al.
Published: January 2024

The field of stylometry is the quantitative study of writing style. It is used for analyzing various patterns in writing text such as vocabulary, parts of speech, punctuations etc. In this paper a detailed analysis of various techniques of Stylometry analysis is being done and  some of their applications are discussed. In this research, stylometric analysis of Genre in hindi literature is being done. , we have used a dataset of four Hindi stories each from four different famous Indian authors. Features are extracted from the preprocessed text data using the TF-IDF (Term Frequency-Inverse Document Frequency) technique. PCA is applied for dimensionality reduction. The results were good, effectively creating different groups that stand for different literary motifs or styles within the dataset.
Chromosome Karyotyping and Aneuploidy Detection using Deep Learning Networks
Authors: S. Saranya Et al.
Published: January 2024

Chromosome karyotype analysis is a vital role in the diagnosis of congenital disease, chromosomal aneuploidies. Karyotyping is defined as the process of categorizing chromosomes into one of 24 kinds. Chromosomal aneuploidies can be classified as structural and numerical. Numerical anomalies such as Down syndrome, Williams’s syndrome Pattu syndrome, Turner syndrome, klinefelter syndrome and certain kind of cancers detected with the help of karyotyping. It necessitates rigorous attention to detail and well-trained people. With these objectives in mind, in this work, we automated karyotyping and identified common numerical aneuploidies using deep learning on a dataset of 5474 distinct grayscale metaphase chromosomal impressions from the Bioimage chromosome categorization dataset (BioImLab), which is freely available online. Three stages are included in the proposed classification model. The first stage entails segmenting and individual chromosome identification using bounding box detection and modified binary mask methods. At this point, achieved individual chromosome detection accuracy is 99%. The second stage involves classifying chromosomes using a 144 deep and 1000 FC layer GLNet (GoogleNet) classifier, which has an accuracy rate of 96.33%. The last step is to accurately identify aneuploidies with a 98% detection rate. A robust automatic classification system has been developed. Many scholars have proposed various karyotyping approaches. This research compares and contrasts the outcomes of several approaches with greater accuracy.
Utilizing Artificial Intelligence for Enhancing Cyber Security: Applications and Methodologies
Authors: Vasupalli Manoj Et al.
Published: January 2024

The rapid advancement of technology has given rise to a host of security challenges, often leaving cybersecurity experts struggling to keep up with the latest developments. Safeguarding against security breaches and cyber-attacks now requires extensive support due to the intricate interconnections between organizations, resulting in a surge of network activity, heightened vulnerability, and an increased array of potential attack points. Addressing these complexities has become a daunting task for human capabilities alone. Conventional algorithms occasionally prove inadequate when dealing with the complexities of modern systems. The creation of software with an automatic updating mechanism, designed to stay aligned with technological progress, presents a formidable challenge. Within this landscape, Artificial Intelligence (AI) emerges as a promising avenue for mitigating cybersecurity concerns to a significant extent. By examining cybersecurity computational applications and analyzing strategies for enhancing cyber defense, AI-based solutions offer a potent pathway. This study delves into the realm of countering cybersecurity threats by harnessing the capabilities of AI applications and techniques. It explores how AI can fortify cybersecurity measures, proposing innovative approaches while also examining existing methodologies.
AI Driven Innovation in early Detection and Diagnosis of Brain Cancer
Authors: K Swaroopa Et al.
Published: January 2024

The continuous advancement of artificial intelligence (AI) has brought about a significant transformation in the healthcare sector, namely in the domain of early identification and diagnosis of intricate medical ailments. The present study investigates the use of artificial intelligence (AI) in the identification and diagnosis of brain tumors at an early stage. This research capitalizes on a combination of advanced methodologies such as Genetic Algorithms, Local Binary Patterns (LBP), Deep Learning-Based Segmentation, and Support Vector Machines (SVM) to achieve its objectives. Genetic algorithms are utilized in the context of feature selection to optimize the discriminative capability of input data. The use of Local Binary Patterns (LBP) presents a reliable method for doing texture analysis, hence improving the characterization of diseased areas in brain imaging. Deep learning-based segmentation approaches have demonstrated high efficiency in extracting tumor boundaries and accurately distinguishing them from healthy brain tissue, hence enabling precise localization. The Support Vector Machine (SVM) technique, which is highly effective in classification tasks, plays a crucial role in the diagnostic process by accurately distinguishing between benign and malignant tumour cases. The utilisation of an interdisciplinary method not only enhances the precision and dependability of brain tumor diagnosis, but also accelerates the procedure, therefore facilitating prompt intervention and potentially life-preserving therapeutic alternatives for individuals. The research highlights the significant capacity of AI-based approaches in revolutionizing the field of neuroimaging, emphasizing their crucial contribution to augmenting the abilities of healthcare practitioners in the essential undertaking of identifying and diagnosing brain tumors.
PRIDNet based Image Denoising for Underwater Images
Authors: Avani Kasat Et al.
Published: January 2024

Underwater image enhancement has become a popular research topic due to its importance in aquatic robotics and marine engineering. However, the underwater images frequently experience signal-dependent speckle noise when transmitting and acquiring data, which can limit certain applications such as detection, object tracking. In the recent years, the existing underwater image enhancement algorithms efficiency has been analysed and evaluated on a small number of carefully chosen real-world images or synthetic datasets. As such, it is challenging to predict how these algorithms might function with images acquired in the wild under various circumstances. This paper introduces a new solution for noise removal from underwater images called Pyramid Real Image Noise Removal Network (PRIDNet) with patches.PRIDNet is a three-level network design using image patches. The tests were carried out on a dataset of actual noisy images demonstrate that, in terms of quantitative metrics, our proposed denoising model reduction performs better with the exixting denoisers. We determine the effectiveness and constraints of existing algorithms using benchmark assessments and the suggested model, offering valuable information for further studies on underwater image enhancement.