bluuebunny/crossref_metadata_2025 huggingface dataset:
Reasoning with Legal Cases: A Hybrid ADF-ML Approach
Authors: Mumford Jack , Atkinson Katie , Bench-Capon Trevor
Published: December 2022

Reasoning with legal cases has long been modelled using symbolic methods. In recent years, the increased availability of legal data together with improved machine learning techniques has led to an explosion of interest in data-driven methods being applied to the problem of predicting outcomes of legal cases. Although encouraging results have been reported, they are unable to justify the outcomes produced in satisfactory legal terms and do not exploit the structure inherent within legal domains; in particular, with respect to the issues and factors relevant to the decision. In this paper we present the technical foundations of a novel hybrid approach to reasoning with legal cases, using Abstract Dialectical Frameworks (ADFs) in conjunction with hierarchical BERT. ADFs are used to represent the legal knowledge of a domain in a structured way to enable justifications and improve performance. The machine learning is targeted at the task of factor ascription; once factors present in a case are ascribed, the outcome follows from reasoning over the ADF. To realise this hybrid approach, we present a new hybrid system to enable factor ascription, envisioned for use in legal domains, such as the European Convention on Human Rights that is used frequently in modelling experiments.
Automating the Response to GDPR’s Right of Access
Authors: Esteves Beatriz , Rodríguez-Doncel Víctor , Longares Ricardo
Published: December 2022

With the enforcement of the European Union’s General Data Protection Regulation, users of Web services – the ‘data subjects’ –, which are powered by the intensive usage of personal data, have seen their rights be incremented, and the same can be said about the obligations imposed on the ‘data controllers’ responsible for these services. In particular, the ‘Right of Access’, which gives users the option to obtain a copy of their personal data as well as relevant details such as the categories of personal data being processed or the purposes and duration of said processing, is putting increasing pressure on controllers as their execution often requires a manual response effort, and the wait time is negatively affecting the data subjects. In this context, the main goal of this work is the development of an API, which builds on the previously mentioned structured information, to assist controllers in the automation of replies to right of access requests. The implemented API method is then used in the implementation of a Solid application whose main goal is to assist users in exercising their right of access to data stored in Solid Pods.
Functional Classification of Statements of Chinese Judgment Documents of Civil Cases
Authors: Liu Chao-Lin , Lin Hong-Ren , Liu Wei-Zhi , Yang Chieh
Published: December 2022

Enabling the inference systems for assisting legal decisions to identify the functions of sentences and paragraphs in documents of legal judgments can enhance the justifiability of their algorithmic recommendations. The information about the functions of larger linguistic constituents complements the information at the word level like NER, and provides more clues about the arguments for the legal decisions. We explore this venue for the civil cases, which is a relatively uncommon choice in legal informatics and more challenging than working on the criminal cases. Current experimental results are promising.
The LegAi Editor: A Tool for the Construction of Legal Knowledge Bases
Authors: Libal Tomer
Published: December 2022

A key challenge in legal knowledge representation is the construction of formal knowledge bases. Such knowledge bases then allow for various applications such as searching and reasoning. In this paper we describe a web application for the annotation of legal texts. The result of the annotation is a formal representation of the legal texts in a form which might be used for searching and reasoning. The novelty of the tool is threefold: it provides a wizard which guides the user in the annotation process; it uses a high-level annotation language which is close to the language of the original text; and, it allows validation of the formal structure by allowing a simple comparison of the original and the annotated versions of the legal text.
Association of Brain Volume and Retinal Thickness in the Early Stages of Alzheimer’s Disease
Authors: Mathew Sunu , WuDunn Darrell , Mackay Devin D. , Vosmeier Aaron , Tallman Eileen F. , Deardorff Rachael , Harris Alon , Farlow Martin R. , Brosch Jared R. , Gao Sujuan , Apostolova Liana G. , Saykin Andrew J. , Risacher Shannon L.
Published: December 2022

Background: The eye has been considered a ‘window to the brain,’ and several neurological diseases including neurodegenerative conditions like Alzheimer’s disease (AD) also show changes in the retina. Objective: To investigate retinal nerve fiber layer (RNFL) thickness and its association with brain volume via magnetic resonance imaging (MRI) in older adults with subjective or objective cognitive decline. Methods: 75 participants underwent ophthalmological and neurological evaluation including optical coherence tomography and MRI (28 cognitively normal subjects, 26 with subjective cognitive decline, 17 patients diagnosed with mild cognitive impairment, and 4 with AD). Differences in demographics, thickness of RNFL, and brain volume were assessed using ANCOVA, while partial Pearson correlations, covaried for age and sex, were used to compare thickness of the peripapillary RNFL with brain volumes, with p < 0.05 considered statistically significant. Results: Mean RNFL thickness was significantly correlated with brain volumes, including global volume (right eye r = 0.235 p = 0.046, left eye r = 0.244, p = 0.037), temporal lobe (right eye r = 0.242 p = 0.039, left eye r = 0.290, p = 0.013), hippocampal (right eye r = 0.320 p = 0.005, left eye r = 0.306, p = 0.008), amygdala (left eye r = 0.332, p = 0.004), and occipital lobe (right eye r = 0.264 p = 0.024) volumes. Conclusion: RNFL thickness in both eyes was positively associated with brain volumes in subjects with subjective and objective cognitive decline. The RNFL, however, did not correlate with the disease, but the small sample number makes it important to conduct larger studies. RNFL thickness may be a useful non-invasive and inexpensive tool for detection of brain neurodegeneration and may assist with diagnosis and monitoring of progression and treatment in AD.
Effects of Melissa officinalis Extract Containing Rosmarinic Acid on Cognition in Older Adults Without Dementia: A Randomized Controlled Trial
Authors: Noguchi-Shinohara Moeko , Hamaguchi Tsuyoshi , Sakai Kenji , Komatsu Junji , Iwasa Kazuo , Horimoto Mai , Nakamura Hiroyuki , Yamada Masahito , Ono Kenjiro
Published: December 2022

Background: Previous in vitro and in vivo studies on Alzheimer’s disease (AD) models have reported that rosmarinic acid (RA) can inhibit the formation of amyloid-β fibrils as well as the oligomerization and deposition of amyloid-β protein. Melissa officinalis (M. officinalis) extract containing 500 mg of RA is tolerable and safe in healthy individuals and patients with mild AD dementia. Objective: This randomized placebo-controlled double-blind trial aimed to assess the effects of M. officinalis extract on cognition in older adults without dementia. Methods: This study included individuals who were diagnosed with subjective or mild cognitive impairment (n = 323). The trial involved M. officinalis extract supplementation (500 mg of RA per day) period of 96 weeks followed by a washout period of 24 weeks. The primary endpoint was the Alzheimer’s Disease Assessment Scale-cognitive subscale score, and the secondary endpoints were other cognitive measure results as well as safety and tolerability. Results: There were no significant differences in cognitive measures between the placebo and M. officinalis groups from baseline to 96 weeks. However, based on the analysis of Clinical Dementia Rating Sum of Boxes scores in participants without hypertension, the score was found to be increased by 0.006 and decreased by 0.085 in the M. officinalis and placebo groups, respectively; this difference was statistically significant (p = 0.036). Furthermore, there were no differences in vital signs, physical and neurological measures, or hippocampal volume between the two groups. Conclusion: These results indicate that M. officinalis extract may help prevent cognitive decline in older adults without hypertension.
Exposure to World Trade Center Dust Exacerbates Cognitive Impairment and Evokes a Central and Peripheral Pro-Inflammatory Transcriptional Profile in an Animal Model of Alzheimer’s Disease
Authors: Iban-Arias Ruth , Trageser Kyle J. , Yang Eun-Jeong , Griggs Elizabeth , Radu Aurelian , Naughton Sean , Al Rahim Md , Tatsunori Oguchi , Raval Urdhva , Palmieri Joshua , Huang Zerlina , Chen Lung-Chi , Pasinetti Giulio Maria
Published: December 2022

Background: The terrorist attacks on September 11, 2001, on the World Trade Center (WTC) led to intense fires and a massive dense cloud of toxic gases and suspended pulverized debris. In the subsequent years, following the attack and cleanup efforts, a cluster of chronic health conditions emerged among First Responders (FR) who were at Ground Zero for prolonged periods and were repeatedly exposed to high levels of WTC particulate matter (WTCPM). Among those are neurological complications which may increase the risk for the development of Alzheimer’s disease (AD) later in life. Objective: We hypothesize that WTCPM dust exposure affects the immune cross-talking between the periphery and central nervous systems that may induce brain permeability ultimately promoting AD-type phenotype. Methods: 5XFAD and wild-type mice were intranasally administered with WTCPM dust collected at Ground Zero within 72 h after the attacks. Y-maze assay and novel object recognition behavioral tests were performed for working memory deficits and learning and recognition memory, respectively. Transcriptomic analysis in the blood and hippocampus was performed and confirmed by RT qPCR. Results: Mice exposed to WTCPM dust exhibited a significant impairment in spatial and recognition short and long-term memory. Furthermore, the transcriptomic analysis in the hippocampal formation and blood revealed significant changes in genes related to immune-inflammatory responses, and blood-brain barrier disruption. Conclusion: These studies suggest a putative peripheral-brain immune inflammatory cross-talking that may potentiate cognitive decline, identifying for the first time key steps which may be therapeutically targetable in future studies in WTC FR.
Improved teaching-learning-based optimization algorithm based on fusion difference mutation1
Authors: Liang Shaohui , Wei Botao
Published: December 2022

Teaching-learning-based optimization algorithm (TLBO) is a swarm intelligence optimization algorithm that simulates classroom teaching phenomenon. In order to solve the problem that TLBO algorithm is easy to fall into local optimum and has poor stability, an improved teaching-learning-based optimization algorithm based on fusion difference mutation (IDMTLBO) is proposed. Firstly, adaptive teaching factors are introduced. Secondly, in the teaching stage, each student studies according to the gap between himself and the teacher, which improves the convergence speed and convergence accuracy of the algorithm. Finally, in the learning stage, students are divided into two levels according to their learning level, and two students are randomly selected to improve the iterative equation in the learning stage with the difference mutation strategy, It improves the disadvantage that the algorithm is easy to fall into local optimum. Numerical experiments show that the convergence speed and convergence accuracy of the algorithm are obviously better than TLBO algorithm, DMTLBO algorithm, DSTLBO algorithm.
Enabling trust and security between fog nodes using blockchain technology
Authors: Ramamurthy Priyadarshini , Nandagopal Malarvizhi
Published: December 2022

Fog computing enables the data analysis done nearer to the place of data generated, which makes a very short response time. Trust is essential for the effective performance of the fog nodes to overcome uncertainty, vulnerability, and risk. To enhance the trusted connection in fog computing, blockchain technology is adopted as a solution. Inclusion of blockchain in fog environment ensures consistency and security among the fog nodes. Each fog node mines every transaction and stores them as block creating a chain of blocks. In this proposed work, the adaption of blockchain technology is designed as a suitable solution for establishing trusted security between fog nodes and for which a qualitative assessment is done.
Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm
Authors: Jagadish Kumar N. , Balasubramanian C.
Published: December 2022

In a cloud computing system, resources can be accessed at a minimal cost whenever users raise request needs. The primary goal of cloud computing is to provide cost-efficiency of service scheduling to clients fast while using the least number of resources. Cloud Service Provisioning (CSP) can match consumer needs with minimal use of resources. There are several metaheuristic optimization algorithms have been developed in the field of CSP resource minimization and adequate computing resources are required to ensure client satisfaction. However, it performs poorly under a variety of practical constraints, including a vast amount of user data, smart filtering to boost user search, and slow service delivery. In this regard, propose a Black Widow Optimization (BWO) algorithm that reduces cloud service costs while ensuring that all resources are devoted only to end-user needs. It is a nature-inspired metaheuristic algorithm that involved a multi-criterion correlation that is used to identify the relationship between user requirements and available services and thereby, it is defined as an MS-BWO algorithm. Thus finds the most efficient virtual space allocation in a cloud environment. It uses a service provisioning dataset with metrics like energy usage, bandwidth utilization rate, computational cost, and memory consumption. In terms of data performance, the proposed MS-BWO outperforms exceed than other existing state-of-art-algorithms including Work-load aware Autonomic Resource Management Scheme(WARMS), Fuzzy Clustering Load balancer(FCL), Agent-based Automated Service Composition (A2SC) and Load Balancing Resource Clustering (LBRC), and an autonomic approach for resource provisioning (AARP)
Improved catastrophe progression method of underground goaf risk evaluation
Authors: Li Yufei , Hu Nanyan , Ye Yicheng , Wu Menglong
Published: December 2022

In order to solve the problem of underground goafs, particularly in light of the importance ranking of evaluation indices being more subjective and catastrophe progression values being large and too concentrated in the catastrophe progression method, the importance of multiple indices is ranked by the maximizing deviation method. An S-shaped curve is used to establish a regression function to improve the value of catastrophe progression method. First, three first-level evaluation indices and eight second-level evaluation indices are selected to establish an index system for risk evaluation of the underground goaf. Next, based on the principle of catastrophe progression method, an improved catastrophe model for its risk evaluation is established. Finally, sample training and verification are performed based on the improved evaluation model. The evaluation results show that the improved catastrophe progression method objectively ranks the importance of the evaluation indices of each layer, which improves the credibility of the evaluation results. The evaluation results are consistent with the actual geological data and detection results, which verifies the validity and accuracy of the evaluation model. However, only 87.5% of the risk levels obtained by the fuzzy comprehensive evaluation method are completely consistent with the improved catastrophe progression method, and the ranking error of risk value within one rank also accounted for 87.5%. Therefore, the results calculated by the improved catastrophe progression method are more accurate. The numerical gap of the improved catastrophe progression values becomes larger, from [0.796, 0.969] to [0.275, 0.691], which is 2.405 times of the interval difference of the catastrophe progression values before the improvement, which makes the numerical distribution of the catastrophe progression values more scientific and reasonable, with a higher resolution level. Therefore, it is reasonable and feasible to use the improved catastrophe progression method for the risk evaluation of the underground goaf, which can provide a certain theoretical basis and engineering guidance for underground goaf disaster control and management.
Peer to peer sybil and eclipse attack detection via fuzzy kademlia
Authors: Geepthi D. , Columbus C. Christopher , Jeyanthi C.
Published: December 2022

P2P networks are particularly vulnerable to Sybil and Eclipse attacks, especially those based on Distributed Hash Tables (DHT). However, detecting Sybil and Eclipse attacks is a challenging task, and existing methods are ineffective due to unequal sample distribution, incomplete definitions of discriminating features, and weak feature perception. This paper proposes a Fuzzy Secure Kademlia (FSK) that detects and mitigates the Sybil and Eclipse attack. At first, a node requests authentication by providing its MAC address, location, Node Angle (NA), and Node Residual Energy (NRE) to an infrastructure server. As long as the packet’s ID, location, NA, and NRE match the packet’s received ID, it can be recognized as normal. The incoming packet, however, is detected as Sybil or Eclipse attack packets if copies are made in locations other than those specified. When the Sybil or Eclipse attack has been detected, locate the multiplied nodes. By using the FSK, the malicious node can be removed, preventing it from causing any harm to the network. The suggested framework is compared with existing methods in terms of detection time, and energy consumption. Experimental results indicate that the suggested FSK technique achieves a better detection time of 29.4%, 25.5%, 22.6%, and 18.1% than CSI, DHT, CMA, and EDA methods.
HGPSO: An efficient scientific workflow scheduling in cloud environment using a hybrid optimization algorithm
Authors: Umamaheswari K.M. , Muthu kumaran A.M.J.
Published: December 2022

Cloud technology has raised significant prominence providing a unique market economic approach for resolving large-scale challenges in heterogeneous distributed systems. Through the use of the network, it delivers secure, quick, and profitable information storage with computational capability. Cloud applications are available on-demand to meet a variety of user QoS standards. Due to a large number of users and tasks, it is important to achieve efficient scheduling of tasks submitted by users. One of the most important and difficult non-deterministic polynomial-hard challenges in cloud technology is task scheduling. Therefore, in this paper, an efficient task scheduling approach is developed. To achieve this objective, a hybrid genetic algorithm with particle swarm optimization (HGPSO) algorithm is presented. The scheduling is performed based on the multi-objective function; the function is designed based on three parameters such as makespan, cost, and resource utilization. The proper scheduling system should minimize the makespan and cost while maximizing resource utilization. The proposed algorithm is implemented using WorkflowSim and tested with arbitrary task graphs in a simulated setting. The results obtained reveal that the proposed HGPSO algorithm outperformed all available scheduling algorithms that are compared across a range of experimental setups.
A fault detection method based on the self-organizing fuzzy Luenberger for the generalized linear discrete time system with disturbances
Authors: Liu Zhiyong , Jin Ying , Bao Hong , Zhao Yong
Published: December 2022

A novel for an integrated fault and states estimator was proposed for the generalized linear discrete-time system with disturbances. The proposed scheme was based on a Self-Organizing fuzzy Luenberger system to estimate the states and approximate the fault information simultaneously for the generalized linear discrete-time system. For this purpose, a generalized linear discrete-time system with disturbances was transformed into an equivalent standard state-space system with disturbances and faults. Then, the faults and disturbances of generalized linear discrete-time system can be separated with the coordinate transform, meanwhile the Self-Organizing fuzzy Luenberger estimator was designed to obtain the accurate fault information. Based on the obtained fault information, the fault detection experiments were performed, and the fault feature parameters required for fault isolation were determined. Finally, the proposed strategy was applied for a direct current motor to demonstrate the effectiveness of the proposed approach.
EDAS method for multiple attribute group decision making under spherical fuzzy environment
Authors: Diao Fengxia , Wei Guiwu
Published: December 2022

Despite the importance of multi-attribute group decision making (MAGDM) problem in the field of optimal design, it is still a huge challenge to propose a solution due to its uncertainty and fuzziness. The spherical fuzzy sets (SFSs) can express vague and complicated information of MAGDM problem more widely. The Evaluation based on Distance from Average Solution (EDAS) method, as a highly practical decision-making method, has received extensive attention from researchers for solving MAGDM problem. In this paper, a spherical fuzzy EDAS (SF-EDAS) method is proposed to solve the MAGDM problem. Moreover, the entropy method is also introduced to determine objective weights, resulting in a more proper weight information. In addition, a practical example is settled by SF-EDAS method, which proves the excellent efficiency in applications of MAGDM problem. The SF-EDAS method provides an effective method for solving MAGDM problems under SFSs, and EDAS also provides a reference for further promotion of other decision-making environments.
An integrated method for evaluating the energy-saving and economic operation of power systems with interval-valued intuitionistic fuzzy numbers
Authors: Xu Xinrui
Published: December 2022

Chinese population is numerous. Energy resources are limited. The ownership of per capita resource is far lower than the world average level. China is in the process of industrialization and urbanization, but energy resources are consumed and environmental pollution is serious. The energy crisis and environmental protection has restricted our country economy development and social harmony. As a source of energy consumption and environmental pollution, power industry is one of the important fields of energy saving and emission reduction. The reasonable power dispatch is the breakthrough to reduce the energy consumption and environmental pollution. In this paper, we first introduce some operations on interval-valued intuitionistic fuzzy sets, such as Heronian mean (HM) operator and Dombi operations, etc., and further develop the induced interval-valued intuitionistic fuzzy Dombi weighted Heronian mean (I-IVIFDWHM) operator. We also establish some desirable properties of this operator, such as commutativity, idempotency and monotonicity. Then, we apply the I-IVIFDWHM operator to deal with the interval-valued intuitionistic fuzzy multiple attribute decision making (MADM) problems. Finally, an illustrative example for evaluating the energy-saving and economic operation of power systems is given to verify the developed approach.
The instability of coordinated As(III) thiolates, As(SPh)3 and R-As(SPh)2 (R = Me, 2-nitrophenyl), to heavy metal cations
Authors: Ioannou Panayiotis V. , Stamou Christina
Published: December 2022

The coordination ability of As(III) thiolates, having two kinds of Lewis base atoms [As(III) and S(II)], towards heavy metal salts was virtually not studied. We have found that As(SPh)3 (A), Me-As(SPh)2 (B), and 2-O2N-PhS-As(SPh)2 (C) with the acetates M(OAc)2 (M = Cd, Pb, Hg) gave the metal thiophenolate M(SPh)2 (except in the case of B and Cd(OAc)2 which gave PhS-Cd-OAc·Cd(SPh)2) and with HgCl2 gave (PhS-Hg-Cl)2·HgCl2. The thiophenolates of cadmium and lead(II) were not reactive towards their corresponding acetates and chlorides, while Hg(SPh)2 gave PhS-Hg-OAc and (PhS-Hg-Cl)2·HgCl2. Likely mechanisms for these reactions are suggested.
Which interventions are effective for promoting physical activity in people with neuromuscular disease? A Cochrane Review summary with commentary
Authors: Liguori Sara
Published: December 2022

BACKGROUND: Neuromuscular diseases (NMDs) are conditions characterized by progressive muscle weakness resulting in limitations in the activities of daily living. Physical inactivity in this population represents a major health issue increasing the risk of further chronic health problems and complications. OBJECTIVE: To discuss evidence on the effects of intervention for promoting physical activity in people with NMDs from a rehabilitative perspective. METHODS: To summarize and comment on the published Cochrane Review “Interventions for promoting physical activity in people with neuromuscular disease” by Jones et al. RESULTS: This Cochrane Review included 13 trials (795 participants from 12 studies, number of participants unclear in one study) evaluating practical, informational, or motivational interventions, designed to promote physical activity, in comparison to no intervention, or another intervention. CONCLUSION: A low- to very-low certainty of the evidence was found on the effectiveness of physical activity-promoting interventions in people with NMD. Further studies are required to address this topic.
Predictive biomarkers for response to trametinib in non-small cell lung cancer
Authors: Parekh Palak R. , Botting Gregory M. , Thurber Denise B. , Boruszczak Marika , Murphy William , Bertenshaw Greg P.
Published: December 2022

BACKGROUND:

Non-small cell lung cancer (NSCLC) is a leading cause of cancer deaths. Current companion diagnostics use driver mutation sequencing to select patients for molecularly targeted agents (MTA), even though most patients lack actionable mutations. These diagnostics utilize static biomarkers, ignoring real-time tumor cell biology.

OBJECTIVE:

Trametinib is FDA-approved in combination with dabrafenib for BRAF V600E-positive NSCLC, however, it has plausible utility beyond these patients. We sought to identify novel biomarkers for maximizing trametinib application.

METHODS:

Trametinib responses were evaluated in 12 EGFR/BRAF wild-type (WT) NSCLC cell lines with diverse RAS mutational status. We identified three response categories by colony assay. Trametinib-induced molecular dynamics were studied using immunoassays and apoptosis/necrosis assays, to identify predictive response biomarkers.

RESULTS:

p27 accumulation and cyclin D1 downregulation suggested universal cell cycle arrest with trametinib. However, 4 cell lines showed PARP cleavage and 8 showed increased phospho-4E-BP1, suggesting varied cellular outcomes from apoptosis, necrosis, senescence to autophagy. Cleaved PARP, phospho-4E-BP1 and phospho-AKT expression can predict these outcomes.

CONCLUSIONS:

Trametinib monotherapy outcome may depend upon cellular context more than oncogenic mutation status. In BRAF WT NSCLC, trametinib may be best suited for combination therapy and dynamic biomarkers could select combinations and predict responses.
Buddhalar ve Bodhisattvalara Yakarışı Konu Alan Eski Uygurca Fragmanlar
Authors: UZUNKAYA Uğur
Published: December 2022

Eski Uygurca, dinî ve din dışı konulu eserlerden oluşan bir yazınsal geleneğe sahiptir. Dinî konulu eserler söz konusu olduğunda Budizm, Manihaizm ve Nasturi Hristiyanlığa ilişkin metinler öne çıkmaktadır. Bir diğer yandan din dışı konulu metinleri genel olarak sivil belgeler, mektuplar ve tıp vb. konulu metinler oluşturmaktadır. Dinî edebiyat içerisinde en büyük pay Budizm’e aittir. Budizm birçok ekolü ve Sanskritçe Budist külliyata ilişkin birçok metniyle Eski Uygur edebiyatında kendine yer edinmiştir. Günümüzde Budist Uygur edebiyatına ilişkin müstakil metinler yanında hangi metne ait olduğu henüz belirlenemeyen metin parçaları da mevcuttur. Bu yazıda bugün Berlin Turfan Koleksiyonu’nda U 3318 (T III M 239), U 3313 (T III [M] 234; T III M 234.501), U 3303 (T III M 219) ve U 2460 (T II 581) arşiv numaralarıyla korunan, şimdiye kadar neşredilmemiş ve Buddhalara ve Bodhisattvalara ilişkin yakarışı konu alan fragmanların neşri gerçekleştirilecektir. Bu fragmanların katalog bilgileri Göttingen Bilimler Akademisi’nin (Akademie der Wissenschaften zu Göttingen) Almanya’daki Doğu Yazmalarının Kataloglanması (Katalogisierung der Orientalischen Handschriften in Deutschland) projesi kapsamında hazırlanan çevrimiçi katalogda yer almaktadır. Bu çalışmada ele alınan fragmanların fiziksel özellikleri ile içeriklerine ilişkin özelliklerini ihtiva eden kısım S. C. Raschmann tarafından hazırlanmıştır. Bu yazıda yukarıda bahsi geçen Eski Uygurca fragmanların yazı çeviriminin, harf çevirisinin, Türkiye Türkçesine aktarımının, metne ilişkin açıklamalarının ve analitik dizin ile sözlüğünün sunulması amaçlanmıştır.
Do You Have a Digital Wallet? A Study of E-Wallet during the COVID-19 Pandemic
Authors: Kee Daisy Mui Hung
Published: December 2022

Following World Health Organization (WHO) recommendation, government officials are taking measures to facilitate non-contact payments that allow consumers to conduct contactless transactions, use cashless payment methods, and distance themselves physically from ATMs after the Corona Virus Disease 2019 (COVID-19) outbreak. COVID-19 is prevented from spreading through social distancing enabled by e-Wallets. Consequently, e-Wallets are becoming more popular to facilitate smoother, more efficient online transactions. We aim to investigate the key factors to use an e-Wallet since this COVID-19. The four factors included in the research are perceived risk, perceived ease of use, perceived convenience, and government support. Data from this study were collected through electronic questionnaires. The online survey received a total of 100 respondents who are e-Wallet users. Our findings disclosed that perceived risk, perceived ease of use, and perceived convenience are associated with intentions to use e-Wallets. The results offer useful insight into the field of e-Wallets.
Factors that Influence Consumer Purchase Intention: A Case Study of 99 Speedmart in Malaysia
Authors: Tan Seok Theng
Published: December 2022

99 Speedmart is recognized as a fast-growing chain of delectable mini-markets because of its intense focus on customer satisfaction, aggressive responsiveness, and marketing strategies. This study investigates the factors that influence the customer purchase intention at 99 Speedmart. We examine five key factors, namely perceived usefulness, perceived trust, perceived convenience, customer satisfaction, and customer loyalty, and how these five factors influence consumer purchase intention. Besides, we examine if perceived usefulness, trust, convenience influence customer satisfaction, and loyalty. We also intend to identify if customer satisfaction influences customer loyalty. A total of 150 respondents were collected, and data were analyzed using SPSS. The findings revealed that perceived usefulness and perceived convenience have a direct positive relationship with purchase intention. Besides, perceived usefulness, trust, and convenience positively influence customer satisfaction, while only perceived trust directly influences customer loyalty. Customer satisfaction was found to have a direct link to customer loyalty. This study provides new insights on the topic of consumers' purchase behavior.
ANALYSIS OF THE EFFECTIVENESS OF PROBABILISTIC ECONOMIC ORDER QUANTITY (EOQ) METHOD USING MODEL (q,r) IN MEDICATION INDUSTRY (CASE STUDY: APOTEK GRIYA MEDIKA MALANG)
Authors: Aguswahyudi Fransiscus Danny
Published: December 2022

In this article discussed the application of probabilistic EOQ method using model (q,r) on the control and inventory of anti-pain medication. In this study used data request with the assumption of normal distribution with the aim to determine the reorder point and EOQ to minimize the total cost using the model (q,r) of anti-pain medication Apotek Griya Medika Malang in January to December 2017. After obtaining each the minimum cost of both theoretical and simulated using the original data and the generated data, then the two costs are compared to see which model can obtain the total cost savings by using model (q,r). This method is able to determine the amount of goods to be ordered, the time for effective ordering, and save the total of inventory cost.
Russian economy in the face of new sanctions challenges
Authors: Ershov M. V.
Published: December 2022

The year 2022 was characterized by a number of significant processes and events that made it possible to reveal the stability of the Russian and world economies. Thirty years ago Russia started moving to the market that marked the beginning of radical changes and transformations of the Russian economy and laid the basis for long-term trends that we are still observing. The liberalization of prices and the subsequent introduction of a single exchange rate regime, large-scale entry into the global financial system, and the strengthening of market principles of interaction of economic agents determined the contours of further development of the Russian economy. This was followed by a real test of strength — through a period of local and global crises, and in the sanctions of 2022, this “testing” has reached its apogee. The pandemic shock was replaced by a large-scale geopolitical tension due to the events in Ukraine. Russian assets were frozen, the existing system of world economic relations was massively deformed, and the Russian economy is forced to rebuild the mechanisms and foundations of its domestic and international development. At the same time, RF has the potential for forming new points of support, and it should be used more actively.
PRODUCTION OF THERMOSTABLE ROAD BITUMENS BY THE METHOD OF "OXIDATION-COMPOUNDING"
Authors:   Ufa State Petroleum Technical University, Institute of Oil Refining and Petrochemistry of the University in the City of Salavat, Salavat, Russian Federation, Evdokimova N.G. , Makhmutova A.R. ,   Ufa State Petroleum Technical University, Institute of Oil Refining and Petrochemistry of the University in the City of Salavat, Salavat, Russian Federation, Aliyeva N.T. ,   Azerbaijan State Oil and Industry University, Guseinova E.A. ,   Azerbaijan State Oil and Industry University
Published: December 2022

The paper proposes a technology for producing petroleum road bitumen by compounding deeply oxidized bitumen with tar, pre-oxidized to various temperatures, in order to produce binders stable to the processes of thermo-oxidative aging. The rate of technological and chemical aging of tar and bitumen has been studied. It was found that tar is most susceptible to technological, and bitumen to chemical aging. It is shown that the use of tar pre-oxidation technology is a promising direction in bitumen production in the production of standard grades of bitumen binders. The obtained compounded bitumens have high extensibility values at 250C and maximum tensile force, which characterizes their high cohesive properties, as well as high values of the needle penetration depth at 00C and low brittleness temperatures, which indicate good low-temperature properties of bitumen. It has been revealed that the use of oxidized tar with a softening point of 360C during compounding with deeply oxidized bitumen can achieve the minimum values of softening temperature change after aging and obtain standard bitumen grades BND 70/100 and BND 100/130 according to GOST 33133-2014. The resulting compounded bitumen is less susceptible to destructive and thermo-oxidative aging processes and can be effectively used for paving
STUDY OF COMPLEXATION OF TITANIUM(IV) WITH 4-(2',3',4'-TRIHYDROXYPHENYL)-2-NITRO-1-SULFOAZOBENZENE IN THE PRESENCE OF SURFACTANTS
Authors:   Gazakh Branch of Baku State University, Ragımova A.J. , Mardanova V.I. ,   Baku State University, Nagıev Kh.D. ,   Baku State University, Maharramov A.M. ,   Baku State University, Chıragov F.M. ,   Baku State University
Published: December 2022

The interaction of Ti(IV) with 4-(2',3',4'-trihydroxyphenyl)-2-nitro-1-sulfoazobenzene (H3L) in the presence and in the absence of cationic surfactants (CAS) (cetylpyridinium chloride (CPCl), cetylpyridinium bromide (CPBr), cetyltrimethylammonium bromide (CTMABr)) was studied. The interval of concentration obeying Beer's law is established. In the complex formation of titanium(IV), the dependence A = f(C) is expressed by linear equations. The effect of time and temperature has been studied. The stability constants of binary and mixed-ligand titanium(IV) complexes were calculated. The ratio of the reacting components in the binary complex is 1:2, and in the mixed ligand 1:2:2. The effect of foreign ions and masking substances on the complex formation of titanium(IV) with reagents has been studied. Alkaline, alkaline earth and some transitional elements practically do not interfere to the determination. A technique has been developed for the spectrophotometric determination of titanium(IV) in aluminum-based standard samples
CHARACTERIZATION OF BIODEGRADABLE FOAMS OBTAINED FROM CASSAVA STARCH WITH THE ADDITION OF SOY PROTEIN AND CaCo3 AS BLOWING AGENT
Authors:   Department of Chemical Engineering, Polytechnic Negeri Malang, 64415, Malang, Indonesia, Hendrawati N.
Published: December 2022

Compostable foodservice packaging is arguably the biggest trend in the industry right now because it is an alternative that ecologically-correct. The purpose of this study is to determine the effect of soy protein and calcium carbonate (CaCO3) addition on mechanical properties, biodegradability, water absorption ability and morphological structure of biodegradable foam made from cassava starch. The addition of calcium carbonate (CaCO3) as blowing agent and pure protein isolate with different variables have an effect on biodegradable foam quality. The amount of calcium carbonate (CaCO3) addition was varied from 0; 2.8; 5.6; 8.3; 11.1% w/w, while the pure soy protein isolate was varied from 0, 15, 20, 25, 30% w/w. The best result of biodegradable foam was obtained at 30.0% of protein and 11.1% of CaCO3 addition which produce 24.09% absorption ability, 28.67% degradability, and 9.2 MPa tensile strength. At higher levels of protein and calcium carbonate (CaCO3) addition, the product of biodegradable foam be more water absorbent, easily degraded, has lower tensile strength, and has an irregular wall cell structure
SYNTHESIS AND ANALYSIS OF COORDINATION COMPOUNDS OF NICKEL(II) ACETATE WITH MONOETHANOLAMINE AND p-NITROBENZOIC ACID
Authors:   Institute of General and Inorganic Chemistry, Tashkent, Uzbekistan, Ibragimov B.T.
Published: December 2022

This article clarifies the synthesis of a complex combination of p-nitrobenzoic acid with Ni2+ from aromatic carbonic acid derivatives. Moreover, factors influencing the synthesis of the complex compound under room conditions were identified. In particular, the time dependence of the reaction, the effect of temperature, the concentration dependence were studied in practice. The synthesized complex was studied using IR-Fourier spectrometry, elemental analysis, mass spectrometry, TG-DSK and X-ray structural analysis, its chemical structure was determined, and this new complex was proved to be thermally and chemically stable
PRINCIPAL TECHNOLOGICAL SCHEME OF OBTAINING COMPOSITION MATERIALS FROM MODIFICATION OF POLYISOBUTYLE WITH POLYAR MONOMERS WITH THE PARTICIPATION OF FRIDEL–CRAFTS CATALYSTS
Authors:   M.Nagiyev Institute of Catalysis and Inorganic Chemistry, NAS of Azerbaijan, Hajiahmedzade X.Ş. , Bagirova E.T. ,   M.Nagiyev Institute of Catalysis and Inorganic Chemistry, of NAS of Azerbaijan, Ahmedova I.V. ,   M.Nagiyev Institute of Catalysis and Inorganic Chemistry, NAS of Azerbaijan
Published: December 2022

The reactor used to destroy and modify polyisobutylene in the laboratory has been made of pyrex glass. For the first time, Friedel-Crafts catalysts were found to be the initiators of a radical chain-chain mechanism for the destruction of polyisobutylene. Based on this mechanism, it has been modified with polar monomers (acrylonitrile and vinilacetate). This creates conditions for the production of new types of copolymers. At the same time, the destruction of polyisobutylene with the participation of Fridel-Krafts catalysts has been fully proven to be the initiator of the radical-chain mechanism. Polyisobutylen polyacrylonitrile (PIB-PAN) and polyisobutylene polyvinyl acetate (PIB-PAV) copolymers obtained are suitable raw materials for the production of various types of composite products. One of the main issues of chemical technology in the article is the transition of processes from a laboratory experimental plant to an industrial production facility. The problem set have been solved, mathematical calculations of the studied processes have been carried out, the basic technological scheme of modification of polyisobutylene with polar monomers acrylonitrile and vinilacetate and production of compositions based on them have been reflected.
SYNTHESIS AND STUDY OF STRUCTURES OF MAGNETITE Fe3O4 NANOPARTICLES IN POLYETHYLENE GLYCOL MEDIUM
Authors:   M.Nagiyev Institute of Catalysis and Inorganic Chemistry, NAS of Azerbaijan, Humbatova S.F.
Published: December 2022

Synthesis of magnetite Fe3O4 nanoparticles functionalized with polyethylene glycol was carried out by co-precipitation method using a very small amount of organic substances to obtain a highly monodisperse form of nanoparticles, and the structure of obtained Fe3O4 nanoparticles was studied by physical methods. During the synthesis of magnetic Fe3O4 nanoparticles surrounded by a polymer, it has been determined that by adjusting the amount of used polymer, the nature of the precipitating agent, the concentration of the initial precursors and the temperature it was possible to synthesize and stabilize monodisperse Fe3O4 nanoparticles with a high degree of purity, uniform in size
ANTIBACTERIAL AND ANTIFUNGAL PROPERTIES OF Zn COMPLEXES WITH N’-ACIL-SALICYLICHYDRAZIDES
Authors:   Institute of Ecology and Natural Resources, Ganja Department, NAS of Azerbaijan, Gondolova G.H.
Published: December 2022

The antibacterial (Pseudomonas aeruginosa and Mycobacterium phlei) and antifungal (Aspergillus niger, Penicillium Chrysogenium, Penicillium chrosegenum, Cladosporium resinae) properties of Zn complexes with the potentially tridentate (carbonyl and hydroxyl oxygen atoms of the salicylic fragment and nitrogen atom of the amide group) N'-phthalimido-salicylamide ligand and potentially heptadentate (carbonyl and hydroxyl oxygen atoms of the salicylic fragment, two nitrogen atoms of the hydrazide fragment and two oxygen atoms of the carbonyl and carboxyl groups of the maleic fragment) N'-maleoyl-salicylhydrazide ligand were studied. The antibacterial and antifungal efficacy of the samples was determined by the zonal diffusion method according to GOST 9.085-78. Meat-peptone agar (MPA) was used for growing bacterial cultures, and wort-agar (WA) was used for fungi. These studies have shown that both ligands do not show antibacterial action, but show antifungal action. Zinc complexes of these ligands exhibit both antibacterial and antifungal effects. The antimicrobial action of the complexes is much higher than that of the ligands themselves, and this action increases with an increase in the concentration of complex compounds in solution. The antioxidant effect of the compounds H2L, H4L, (H3L)2Zn, (HL)2Zn synthesized by us was studied in cumene oxidation reactions - cumene autoxidation and reactions with cumene peroxide. Establishing the mechanism of action as an inhibitor or antioxidant that prevents oxidation as a result of the presence of the above compounds was studied in the study of cumene autoxidation
SYNTHESIS OF SOME DERIVATIVES OF 2-HYDROXYPROPYL-1,3-BIS-ESTER-SULPHOIMIDE OF SACCHARIN-6-CARBOXYLIC ACID
Authors:   Institute of Polymer Materials, NAS of Azerbaijan, Aslanova E.T. , Rashidova M.N. ,   Institute of Polymer Materials, NAS of Azerbaijan, Garayeva A.A. ,   Institute of Polymer Materials, NAS of Azerbaijan, Heydarova S.Y. ,   Institute of Polymer Materials, NAS of Azerbaijan, Atakishiyeva V.O. ,   Institute of Polymer Materials, NAS of Azerbaijan
Published: December 2022

In order to synthesize new reactive monomers to obtain new heat-resistant polymers and epoxyimide resins, 2-hydroxypropyl-1,3-bis-hydroxyethylester-sulphoimide and 2-hydroxypropyl-1,3-bis-carboxy-me¬thylester-sulphoimide of saccharin-6-carboxylic acid were synthesized. Monomers were synthesized based on 2-hydroxypropyl-1,3-bis-ester-sulphoimide of saccharin-6-carboxylic acid. The resulting products were characterized by elemental analysis and IR spectroscopy. The yield of target products was 83% and 78.6%, respectively. It was found that the synthesized compounds are readily soluble in polar aprotic solvents
SELENOLANES, SELENATRANS AND ESTERS OF SELENIC ACID
Authors:   M.Nagiyev Institute of Catalysis and Inorganic Chemistry, NAS of Azerbaijan, Mammadov El.Sh.
Published: December 2022

It is known that selenic acid and selenium dioxide act as oxidizing agents in reactions with α-oxides when heated. The proposed paper presents data on the synthesis of organoselenium compounds based on reactions of α-oxides with selenic acid and its anhydride, where the latter act as selenation agents. It was found that in the presence of catalytic amounts of boron trifluoride esterate in the reactions of oxiranes with acid the oxirane ring opens both according to the rule and against the Krasussky rule with the formation of a mixture of α- and β- isomers of selenic acid esters. In contrast to the acid, the reactions of oxiranes with selendioxide involve the expansion of the oxirane ring to form functionally substituted selenolanes. This paper is followed by the analysis of the literature material on atranes, a unique class of heterocyclic compounds with distinct biologically active properties, and their element derivatives (B, Ge, Si, etc.). For the first time we have synthesized selenatranol, which is not described in the literature. In future it may not only possess bioactive properties in itself, like the majority of organoselenium compounds, but also be a drug precursor. Acetylselenatranol was synthesized by the reaction of selenatranol with acetic anhydride in acid medium. The data of IR, PMR spectra and elemental analysis of the synthesized compounds as well as the data of thermogravimetric (TGA) and differential thermal analysis (DTA) of some of them are given