bluuebunny/crossref_metadata_2025 huggingface dataset:
BREEDING EXPERIMENT OF SPINY SEAHORSE (HIPPOCAMPUS SPINOSISSIMUS 1913) IN THE SEA OF KHANH HOA PROVINCE
Authors: Hoa Ho Thi , Thuy Nguyen Thi Thanh
Published: July 2023

Spiny seahorse (Hippocampus spinosissimus) was the first time bred successfully in capture condition. The pregnant male from the wild were collected and reared in glass tank with aeration and fed  on frozen small shrimp twice daily. Newborn juveniles were separately reared in open aquaculture system with density of 3 individuals/liter. Within the first two weeks, the juveniles were fed  on live Copepods twice daily with density of 3-5 individuals/ml.  Then, I 5-day old juveniles were weaned with frozen Mysids and switched to cutting frozen Acetes twice dail). The results showed that survival of two-month  old juveniles was 48.83 ± 12.37%. The length and weight of two-month old juveniles were 55.76 ± 3.50mm and  0.76 ± 0.06g,  respectively). Absolute growth rate of one-month old and two-month  old juveniles were 0.98 and 1.60mm/day. respectively.
CORAL REEF FISHES IN THE COASTAL WATERS OF SOUTH-CENTRAL VIETNAM
Authors: Long Nguyen Van
Published: July 2023

Studies on coral reef fishes in the coastal waters of South Central Vietnam were conducted at 42 sites of coral reefs at the four major locations of Van Phong Bay, Nha Trang Bay, Ninh Hai - Ninh Thuan and Ca Na Bay from 2006 - 2007, and combined with available  data  of  species  composition  from  previous  studies.  A  total  of  578  species representing 180 genera and 40 families of coral reef fishes was recorded. The analysis and comparison  indicate  that  diversity  of  coral  reef  fish  fauna  in  the  coastal  waters  of  South Central Vietnam was higher than that in other locations in the coastal waters of Vietnam (the Tonkin Gulf, southeastern and southwestern waters of Vietnam), more or less similar to that in the Spratly Islands and many other locations around the world. In the coastal waters of South Central Vietnam, Nha Trang Bay supported a higher diversity and abundance of most of fish families than Van Phong Bay, Ninh Hai - Ninh Thuan and Ca Na Bay.
Leaping on urban islands: further summer and winter range expansion of European bat species
Authors: Vlaschenko Anton , Hukov Vitalii , Timofieieva Olha , Moiseienko Marharyta , Domanska Anastasia , Zinenko Oleksandr , Prylutska Alona
Published: July 2023

Cities or urban areas are the new types of landscapes that have rapidly developed in the Anthropocene and generally mimic mountains and rock habitats. Such areas attract different vertebrate species that naturally prefer rocky habitats, for example, bats, which are common animal inhabitants of the cities in the Northern Hemisphere. Here we review records of four bat species (Hypsugo savii, Plecotus austriacus, Pipistrellus nathusii and P. pygmaeus) inhabiting human settlements in Ukraine, encompassing the period from 2011 to 2022. Over the last 20 to 30 years, the winter range of P. nathusii has shifted 200-300 km north, and now covers all Black Sea coast steppe regions of continental Ukraine. The Pl. austiacus range most likely covers the whole territory of Ukraine. We documented the first factual records of H. savii in continental Ukraine and the first winter records of P. pygmaeus for the country. Our observations clearly demonstrate colonization of newly formed urban landscapes by bats species from different ecological groups. Therefore, bats, same as some other mammalian species, can be considered beneficiaries of urbanization and urban heat islands.
Olfactory mucosa immunostaining v1
Authors: not provided maria.xylaki
Published: July 2023

This protocol describes the immunostaining of olfactory mucosa cells after cocnentrating and depositing a monolayer of the cell suspension onto a slide. For the preparation of the olfactory mucosa suspension refer to protocol "Olfactory mucosa sampling and processing" : dx.doi.org/10.17504/protocols.io.14egn2b86g5d/v1
Investigation on Efficient FPGA Architectures for Image Coding Algorithm
Authors: Agnihotri Aditiya
Published: July 2023

In this research, we provide an effective hardware architecture for various image processing, enhancement, and filtering algorithms that is based on FPGAs. The inherent spatial and temporal parallelism in FPGA architecture makes them a popular choice as implementation platforms for real-time image processing applications. The filters are applied by iteratively cycling over an image's pixels using a windowing operator method. Software becomes less effective and real-time hardware solutions are required as picture sizes and bit depths increase. While the findings shown here are for a picture with a resolution of 585 x 450 pixels, the stated method may be used to photos of any resolution, provided that the FPGA memory can accommodate it. The design was developed using the Nexys3 board and Xilinx Spartan-6 FPGA in mind.
Проблемы спорта в России
Authors: Алексеев В.В. , Гусев П.М.
Published: July 2023

Статья "Проблемы спорта в России" рассматривает основные проблемы, связанные с развитием спорта в России. Стоит обратить внимание на отсутствие финансирования и слабую поддержку спортивных организаций, недостаток качественных спортивных сооружений и тренеров, а также проблемы с допингом и контролем за честностью соревнований. В статье представлены идеи и рекомендации, которые могут быть полезны для решения этих проблем и улучшения состояния спорта в России.
Wielkie posiadłości ziemskie w Rzeczypospolitej Obojga Narodów i ich wpływ na dzisiejsze środowisko antropogeniczne
Authors: Kowalski Mariusz
Published: July 2023

Artykuł podkreśla znaczenie wielkich posiadłości ziemskich w ramach systemu polityczno-ustrojowego i społeczno-gospodarczego Rzeczypospolitej Obojga Narodów. Zwrócono również uwagę na utrzymujące się przez stulecia antropogeniczne formy przestrzenne, będące efektem szczególnie silnego oddziaływania wielkich posiadłości na kształt życia społeczno-gospodarczego. Wpływ ten można dziś dostrzec w sposobie zagospodarowania przestrzeni oraz w formach i przebiegu licznych zjawiskach o charakterze politycznym, kulturowym i gospodarczym w Polsce oraz u jej wschodnich sąsiadów.
Kondycja dziennikarstwa śledczego w Rosji na przykładzie „Novej Gazety”
Authors: Krzywdzińska Agata
Published: July 2023

Artykuł przedstawia na przykładzie rosyjskiej „Novej Gazety” stan dziennikarstwa śledczego, które należy do najbardziej niebezpiecznych odmian dziennikarstwa. „Novaya Gazeta” jest redakcją absolutnie wyjątkową na tle innych tytułów prasowych w Rosji, podejmuje trudne tematy nieobecne w prasie należącej do państwa. Artykuł ma charakter deskryptywny, opisuje działalność tytułu prasowego i osób zaangażowanych w jego powstanie (między innymi prezydenta ZSRR Michaiła Gorbaczowa), redaktora naczelnego Dmitrija Muratowa, a także pracy dziennikarzy i dziennikarek „Novej Gazety”. Przedstawiono w nim wybrane tytuły artykułów wskazujące na odmienny charakter gazety w porównaniu z gazetami codziennymi wychodzącymi w Rosji. Tekst prezentuje także nowe uwarunkowania prawne, z którymi musi mierzyć się każdy rosyjski dziennikarz.
Alpha Tracks Examination for Female Urine Samples who are Suffering from Urinary Tract Infections
Authors: Mohammed Noor Adil , Obaid Sarah M. , Abbas Shaimaa A. , Hussein Aeshah Ali Hussein
Published: July 2023

Urine samples had been gathered from females living in Baghdad city. The sample consisted of 30 females who suffered from U.T.I (Urinary tract infections) and 20 healthy females. The type of urine U.T.I was specified by the emergency lab in Al-Kindy hospital, and alpha tracks were determined by the nuclear track detector CR-39. The concentrations of alpha in 30 urine samples taken from females who had U.T.I ranged from 0.327ppm-1.583ppm, with an average of 0.94965 ppm. The maximum value 1.583 ppm is belonging to females with an aged 57 years old. The results of healthy female concentration ranged from 0.022 ppm-0.459ppm with an average of (0.30855ppm). The findings revealed that alpha emitter concentrations differed from woman to woman, depending on the degree to which women's bodies were allergic to the radiation, according to their age. The finding revealed of patient female had higher concentrations than healthy females
Boosting Question Answering Systems with Multi-Label Classification Techniques
Authors: Chen YiHui , Lu Eric Jui-Lin , Jin-De
Published: July 2023

DBpedia is one of the most resourceful link databases today, and to access information in DBpedia databases, we need to use query syntax (e.g., SPARQL). However, not all users know SPARQL, so we must use a natural language query system to translate the user's query into the corresponding query syntax. It is costly and time-consuming for the query system to generate query syntax. Therefore, this paper proposes generating query syntax from natural language. Two multi-label learning methods are used for question transformation: Binary Relevance (BR) and Classifier Chains (CC). To predict all the labels that match the query intentions, we use Recurrent Neural Networks (RNNs) to build a multi-label classifier for generating RDF triples. To better consider the relationship between RDF triples, the Binary Relevance is integrated into an ensemble learning approach to propose an Ensemble BR. The experiments perform better than the other research to improve the query accuracy. (This article is submitted to IEEE Access with #Access-2023-19693 entitled Enhancing SPARQL Query Performance with Recurrent Neural Networks）
Understanding context of violence against healthcare through citizen science and evaluating the effectiveness of a co-designed code of conduct and of a tailored de-escalation of violence training in Eastern Democratic Republic of Congo and Iraq: a study protocol for a stepped wedge randomised controlled trial
Authors: Ferrari Giovanfrancesco , Lwamushi Samuel Makali , Balaluka Ghislain Bisimwa , Lafta Riyadh K. , Schindler Christian , Bugugu Daniella , Ongezi Emmanuel , Tediosi Fabrizio , Mendoza Jessica Ramirez , Merten Sonja
Published: July 2023

• Background
Violence against health care workers (HCWs) is a multifaceted issue entwined with broader social, cultural, and economic contexts. While it is a global phenomenon, in crisis settings HCWs are exposed to exceptionally high rates of violence. We hypothesize that the implementation of a training on de-escalation of violence and of a code of conduct informed through participatory citizen science research would reduce the incidence and severity of episodes of violence in primary healthcare settings of rural Democratic Republic of Congo (DRC) and large hospitals in Baghdad Iraq.
• Methods
In an initial formative research phase, the study will use a transdisciplinary citizen science approach to inform the re-adaptation of a violence de-escalation training for HCWs and the content of a code of conduct for both HCWs and clients. Qualitative and citizen science methods will explore motivations, causes, and contributing factors that lead to violence against HCWs. Preliminary findings will inform participatory meetings aimed at co-developing local rules of conduct through in-depth discussion and input from various stakeholders, followed by a validation and legitimization process. The effectiveness of the two interventions will be evaluated through a stepped-wedge randomized-cluster trial (SW-RCT) design with 11 arms, measuring the frequency and severity of violence, as well as secondary outcomes such as post-traumatic stress disorder (PTSD), job burnout, empathy, or HCWs' quality of life at various points in time, alongside a cost-effectiveness study comparing the two strategies.
• Discussion
Violence against HCWs is a global issue, and it can be particularly severe in humanitarian contexts. However, there is limited evidence on effective and affordable approaches to address this problem. Understanding the context of community distrust and motivation for violence against HCWs will be critical for developing effective, tailored, and culturally appropriate responses, including a training on violence de-escalation and a community behavioural change approach to increase public trust in HCWs. This study aims therefore to compare the effectiveness and cost-effectiveness of different interventions to reduce violence against HCWs in two post-crisis settings, providing valuable evidence for future efforts to address this issue.
• Trial registration:
ClinicalTrial.gov Identifier NCT05419687. Prospectively registered on June 15, 2022.
The density of CD8+ tumour-infiltrating T lymphocytes in rectal cancer cells and its relationship with the clinicopathological characteristics and prognosis of patients
Authors: Li Baokun , Wang Feifei , Yang Fei , Meng Zesong , Wang Guanglin , Yu Bin , Wang Guiying
Published: July 2023

Objective:To explore the relationship between CD8+ tumor infiltrating T lymphocyte density and clinicopathological features and prognosis of patients with rectal cancer.
Methods:For immunohistochemistry, paraffin-embedded TMA samples were cut into 4-μm sections. CD8 (ZA-0508, ZSGBBIO) Specific procedure: Tissue sections were baked, dewaxed and rehydrated. Endogenous peroxides were closed by incubating at 37°C for 15 minutes with a methanolic solution of 3% hydrogen peroxide. Antigen repair is then carried out by autoclaving in EDTA antigen repair solution (pH=8) for approximately 10 minutes. Sections were incubated with primary antibody for approximately 1.5 hours at 37°C. After washing, tissue sections were treated with HRPRABBIT/MOUSE secondary antibody (K5007, 20029103, Dako) for 30 minutes at room temperature. Sections were immunostained with diaminobenzidine tetrahydrochloride (DAB, K5007, 20019193, Dako) and restained with hematoxylin.
Results:CD8+ TILS were expressed in rectal cancer tissues in T lymphocytes, which were localised to the cell membrane (Figure 1 ).
The relationship between the density of CD8+ TILs in rectal cancer tissues and the clinicopathological characteristics of patients, low density group and high density group, there was no statistically significant difference (P>0.05) in terms of age, gender, type of surgery and size of the mass, and there was a statistically significant difference (P<0.05) when comparing the depth of infiltration and lymph node metastasis, as shown in Table 1.
For survival analysis, Kaplan-Meier analysis showed that patients with high density CD8+ TILS had a better prognosis than those with low density CD8+ TILS. Figure 2.
Multi-factor Cox regression analysis with prognosis as the dependent variable (Table 2 for variable assignment) showed that low density CD8+ TILs was an independent risk factor for poor prognosis in patients with rectal cancer (p<0.05), see Table 3.
Conclusion:This study illustrates that CD8 expression can be used as an indicator of prognosis in rectal cancer patients, and also provides more effective guidance for immunotherapy in rectal cancer patients at a later stage.
Foraging with your eyes: a novel task to study cognitive strategies involved in (visual) foraging behaviour
Authors: Green Matthew , Segen Vladislava , Korstjens Amanda , Meso Andrew , Thomas Tessa , Wiener Jan
Published: July 2023

In this study we introduce a new gaze-contingent visual foraging task in which participants searched through an environment by looking at trees displayed on a computer screen. If the tree contained a fruit item, the item became visible and was collected. In each trial, the participant’s task was to forage for a defined number of fruit items. In two experiments, fruit items were either randomly distributed about the trees (dispersed condition) or organised in one large patch (patchy condition). In the second experiment, we addressed the role of memory for foraging by including a condition that did not require memorising which trees had already been visited by changing their appearance (tree fading). Foraging performance was superior in the patchy as compared to the dispersed condition and benefited from tree-fading. In addition, with further analyses on search behaviour, these results suggest (1) that participants were sensitive to the distribution of resources, (2) that they adapted their search/foraging strategy accordingly, and (3) that foraging behaviour is in line with predictions derived from foraging theories, specifically area-restricted search, developed for large scale spatial foraging. We therefore argue that the visual search task presented shares characteristics and cognitive mechanisms involved in successful large-scale search and foraging behaviour and can therefore be successfully employed to study these mechanisms.
Sirt1, as a Potential Prognosis Marker in Renal Clear Cell Carcinoma, regulates lipid metabolism and immune infiltration
Authors: Wang Xuefei , Deng Fangqi , Wang Jiayu , Chen Qing , Lu Jiabin
Published: July 2023

Renal clear cell carcinoma (ccRCC) is a malignancy with a dismal prognosis, characterized by the accumulation of fat and glycogen. Sirt1 is a deacetylase that regulates lipid metabolism. In this study, we collected tumor and paracancer tissues from 386 ccRCC patients and followed their prognosis over an extended period. Immunohistochemistry was used to get the expression of Sirt1 in these tissues, and the differential genes associated with Sirt1 were analyzed by the LinkedOmics database. The PPI analysis was made by STRING. The Kaplan-Meier method was utilized to generate the survival curve, while the TIMER web tool was used to analyze immune infiltration. Our findings revealed that Sirt1 was expressed in tumor tissues but not in normal tissues. High Sirt1 expression was associated with poor prognosis. Furthermore, we observed a positive correlation between high Sirt1 expression and perirenal fat invasion and necrosis, which led to worse survival outcomes. We established a nomogram to predict prognosis. Notably, the correlation was observed with immune infiltration. In conclusion, our results suggest that high Sirt1 expression is associated with lipid metabolism disorder and immune infiltration, which in turn contribute to poor prognosis in ccRCC.
Recycled toilet paper: A novel source of sensitizer contamination in rivers
Authors: Yoshinari Yuta , Terasaki Masanori
Published: July 2023

Sensitizers contain an aromatic ring, accumulate in aquatic biota, exhibit the aryl hydrocarbon receptor-mediated activity. Effluent from paper recycling plants has been identified as a source of contamination. The presence of sensitizers in toilet paper may be a novel source in the aquatic environment. To examine possible sources of contamination by sensitizers, this study investigated the levels of sensitizers in recycled toilet paper. We also studied the prevalence of sensitizers in rivers receiving effluents from sewage treatment plants in Japan, between 2020–2022. We detected 8 sensitizers and related compounds in both toilet paper and river water samples; their total concentrations ranged between 0.78–34 µg/g (mean: 12 µg/g) for toilet paper and 58–1167 µg/L (median: 77 µg/L) for water. In the water samples, sensitizers and related compounds were partitioned between liquid and suspended solid phases, and in suspended solids, sensitizers and related compounds accounted for an average of 42% of the total. Correlation analysis showed a high correlation between sensitizer and related compound composition in the water from a river receiving sewage treatment plant effluents and toilet paper (0.82 < r < 0.87 on average, during the survey period). This study was the first to detect 4,4'-dimethyldiphenylmethane, 1,1-di(4methylphenyl)ethane, m-terphenyl, and benzyl 2-naphthyl ether in paper products. Since these compounds were also detected in the water samples analyzed in this study, toilet paper should be considered a novel source of sensitizer and related compound contamination in sewage treatment systems.
Global correlations of the Earth's magnetic field and their connection with strong earthquakes
Authors: Lyubushin Alexey , Rodionov Eugeny
Published: July 2023

We consider 3-component records of the magnetic field strength with a time step of 1 minute at 153 stations of the INTERMAGNET network for 31 years, 1991–2021. Data analysis is based on the calculation of pairwise correlation coefficients between wavelet coefficients in successive time windows 1 day long (1440 minute counts). To describe the state of the magnetic field, the maxima of the average values of all pairwise correlation coefficients between stations were chosen, calculated over all detail levels of the wavelet decomposition and over all components of the magnetic field strength vector. The daily time series of such maxima is called wavelet correlation. The division of the network stations into 7 clusters is considered, and a time series of wavelet correlations is calculated for each cluster. In a sliding time window with a length of 365 days, correlation measures of synchronization of wavelet correlations from different clusters are calculated, which are compared with the strongest earthquakes with a magnitude of at least 8.5. For the global time series of wavelet correlations, the method of influence matrices is used to study the relationship between the maximum correlation responses to a change in the length of the day and a sequence of earthquakes with a magnitude of at least 7. As a result of the analysis, precursor effects are identified, and the important role of the Maule earthquake in Chile on February 27, 20210 in the behavior of the response of magnetic field for the preparation of strong seismic events is shown.
Analyzing the Effect of Different ObjectiveFunctions on Energy Efficiency for RPL-basedRouting in Low Power Lossy Networks for IoTapplication
Authors: Telgote Aparna , Mande Sudhakar
Published: July 2023

Low power lossy networks (LLNs) are designed to enhance network lifetime byminimizing energy consumption. In this research, we focus on the routing pro-tocol for LLNs known as RPL and investigate the impact of different objectivefunctions on energy consumption. Previous studies have highlighted the impor-tance of objective function selection in optimizing energy efficiency in LLNs.However, there is still a need to thoroughly understand the effects of objectivefunctions on energy consumption in RPL. The primary objective of this researchis to compare the energy consumption of different objective functions in RPLfor various node configurations. We specifically evaluate Objective function 0, Minimum Rank Hysteresis Objective Function (MRHOF), MRHOF with energy(MRHOF Energy), and MRHOF with expected transmission (MRHOF ETX).Our research methodology involves simulating LLNs with varying numbers ofnodes and analyzing the energy consumption patterns of the different objectivefunctions. We also investigate the impact of alpha weighting as well as tricklealgorithm on the MRHOF algorithms. The results show that as the number ofnodes increases, the average power consumed gradually rises. Among the objec-tive functions under consideration, MRHOF Energy exhibits the highest powerconsumption, while MRHOF demonstrates the most efficient performance withsignificantly lower power consumption. Furthermore, our findings reveal thatMRHOF offers better energy efficiency compared to other objective functions,including MRHOF Energy and MRHOF ETX. The superiority of MRHOF isconsistent across different node configurations.
However, after experimenting on performance parameter like delay and through-put it is observed that the choice of objective function depends on the specificrequirements and trade-offs of the IoT application, with MRHOF offeringimproved network lifespan, OF0 prioritizing low delay and high throughputin smaller networks, and MRHOF ETX providing a balanced approach forscalability and trade-offs.
The significance of this research lies in its ability to provide valuable insightsinto the influence of objective function selection on energy consumption andperformance in low-power lossy networks (LLN). These findings serve as a guid-ing resource for the development and implementation of energy-efficient routingprotocols. By incorporating the recommendations from this research, LLN per-formance can be enhanced, leading to improved network longevity and overallefficiency. The research outcomes contribute to the advancement of LLN tech-nologies and pave the way for more sustainable and effective network solutionsin various IoT applications.
WITHDRAWN: Hybrid Architecture for Secure Data Communication Within the Private Cloud
Authors: Naeem Awad Bin , Senapati Biswaranjan , Sudman Md. Sakiul Islam , Abdel-Rehim Wael M. F.
Published: July 2023

Cloud computing is a cutting-edge technology that is rapidly gaining traction in the information technology (IT) sector. Although it has many benefits, there are also disadvantages, most notably the difficulties and vulnerability in security. This study describes multiple architectures for secure communication over a private cloud. We developed a unique custom approach that incorporates steganography to provide an additional degree of security to cloud data transport. Our suggested technique is an important road map for putting together a complete cloud security architecture. Furthermore, good basic management approaches may be used to distribute keys to cloud users, ensuring that only those with permission to cloud compute the data have cloud computing to the data.
Correlational analysis of physicochemical indexes, microbial communities, and volatile components in light-flavor Daqu from north and south regions of China
Authors: Yu Qi , Mou Feiyan , Xiao Junwen , Zhan Cheng , Li Liang , Chang Xu , Dong Xiaoyuan , Chen Maobin , Fang Shangling
Published: July 2023

Daqu is of great significance to the brewing process of Baijiu, and there are variations in the light-flavor Baijiu Daqu in different regions. However, few studies have been conducted on light-flavor Daqu from the north and south regions of China. In this study, the physicochemical indices, volatile flavor components, and microbial community structure of two types of Daqu from the north and south regions of China were comparatively analyzed. The study findings reveal that Daquoriginating from the southern region of China (HB) exhibits superior moisture content, acidity, starch content, and saccharification power. In contrast, Daqu from the northern region of China (SX) displays higher fermentation, esterification, and liquefaction power. The analysis of the microbial community structure revealed that HB was dominated by Bacillus, Kroppenstedtia,Saccharomycopsis, and Thermoascus, while SX was dominated by Bacillus, Prevotella, and Saccharomycopsis. The analysis detected a total of 47 volatile components in both HB Daquand SX Daqu. The volatile components of pyrazine were significantly more abundant in HB Daqu than in SX Daqu, while alcohol compounds were more prominent in SX Daqu than in HB Daqu. In addition, the RDA analysis established a correlation between dominant microorganisms and volatile components. Cyanobacteria, Fusobacteriota, Ascomycota, Blastocladiomycota, Basidiomycota, and Mucormyceexhibited positive correlations with a significant proportion of the key volatile compounds. This study establishes a scientific foundation for improving the quality of light-flavor Daqu liquor in different regions of China.
Chromosome 8
Authors: Vairamani Muthu Vijai Bharat , Hariharan Harini , Ramalingam Satish
Published: July 2023

Chromosome 8 spans more than 146 million DNA base pairs, and represents between 4.5 and 5 percent of the total DNA in cells. Sixteen percent of these genes and their mutations have been identified to play a role in cancer development. Cancer is a genetic disease at the somatic cell level. Multiple gene mutations usually precede them throughout one’s life. Oncogenes such as Myc, Lyn, Atad2, etc., from chromosome 8 promoted cancer cell proliferation, invasion, and migration. The increased expression of these proteins can transform a normal cell into a cancer cell. Chromosome 8 also houses multiple tumor suppressor genes, such as Dlc1, E2f5, Gata4, Ido1, etc. These proteins, when expressed, reduce the chances of tumor initiation within cells. Thus, mutations leading to the reduced expression of these genes are associated with multiple cancers. Mutation of other functional genes like Ank1, Ctsb, Ext1, Il7, etc., has also been implicated in various cancers for their role in increasing the invasive nature of cancers by regulating angiogenesis and facilitating cancer metastasis. Cancers can also stem from the translocational mutations of genes in chromosome 8. This chapter explains essential cancer genes, genetic mutations, and gene variations that can cause an increased risk of cancer and its progression.
Chromosome 10
Authors: Panicker Saurav , Ramalingam Satish
Published: July 2023

Chromosome 10 contains various genes that are significantly involved in tumorigenesis. These genes described herein that play roles in cancer comprise receptor tyrosine kinases (FGFR2), proto-oncogenes (FRAT1, RET), tumor suppressor genes (PTEN, KLF6), and also genes involved in signal transduction (MAPK8), gene fusions (CCDC6, KIF5B, VTI1A), developmental processes (GATA3, NODAL), Epithelial- Mesenchymal transition (ZEB1, VIM) and epigenetic regulation (MLLT10). This chapter provides a compilation of many such genes from Chromosome 10 that are associated with cancer, with vivid delineations of the underlying molecular mechanisms of each gene in its contribution to cancer initiation, progression and metastasis. Genes that are insufficiently investigated but implicated in tumorigenesis have also been described in this chapter.
Chromosome 11
Authors: Hariharan Harini , Panicker Saurav , Ramalingam Satish
Published: July 2023

Over the years, many scientists and doctors have been treating the deadly cancer disease but cannot find a permanent treatment for this disease. Also, sometimes it becomes tough to understand the mechanisms and causes of cancer as it is a very complex disease that involves many biological processes. Due to the redundancy in our biological system, cancer progression becomes very easy, thus making it difficult to cure. To find the root cause of this disease, we should know what genetic alterations are causing cancer progress and who is participating in these alterations, like proteins, signaling pathways, or genes. Cancer is caused due to various reasons; it can be due to genetics but primarily due to carcinogens, causing mutations in the genes, thereby making them an oncogene. The Proto-oncogenes are those genes that usually assist the growth of tumor cells. The alteration, mutation, or increased copy number of a particular gene may turn into a proto-oncogene, which could end up completely activated or turned on. Many Tumor-causing alterations or mutations related to oncogenes are usually acquired and not inherited. These tumor-causing mutations often actuate oncogenes via chromosomal rearrangement or changes in the chromosome, which sequestrates one gene after another, thereby permitting the first gene to prompt the alternative. Search which genes are involved in different cancer types would help scientists proceed with new methods for finding a cure for this disease. This article will depict which genes and their location on which chromosomes, specifically on chromosome 11, are related to different types of cancer.
Study of magnetization of ferrite with Rare Earth and Ca substitutions
Authors: Wendri N , Suharta Wayan Gede
Published: July 2023

This research synthesized nano-ferrite with Rare Earth substitution using the co-precipitation method. The main goal was to produce nanometer-sized RE/Ca-(Fe3O4) ferrite utilizing sand as the primary raw material. This research also sought to generate public interest in natural resources to maximize their benefits. Sand is abundantly available in Indonesia and is commonly used in the production of concrete, bricks, and roads. To obtain nanometer-scale particles, the co-precipitation method was employed in this study. Initially, iron sand was dissolved in HCl, stirred until homogeneous, filtered and NH4OH was added. The mixture was then precipitated, filtered and washed through a repetitive process until the nano-ferrite particles were obtained. To enhance the magnetic properties, rare earth elements (RE) were introduced during the ferrite formation. The results of FTIR characterization revealed absorbance at 1000, 1400, 1600 and 3400 cm-1, indicating vibrations caused by stretching vibrations of the metal-oxygen tetrahedral band, stretching and HOH vibrations of anti-symmetrical NO stretching vibrations arising from the nitrate group still present in the sample. XRD characterization demonstrated a spectrum predominantly composed of RE/Ca-(Fe3O4) with a purity exceeding 90%, along with the detection of SiO2 impurities. Substitution of Gd, GdNd, and Nd results in an increase in lattice constant values for the a, and b-axis, however, decrease for c-axis sequentially. Also, the substitution of Gd, GdNd, and Nd results in an increase in the coercivity and remanence magnetization values sequentially. The average particle size obtained was 150 nm.
Cognitive warfare (Preprint)
Authors: Pastor Alvaro
Published: July 2023

UNSTRUCTURED

Military powers have consolidated in the last two decades a way to erase the boundaries between peacetime and crisis and wage a continuous war. Cognitive warfare (CW) has been proposed as the most advanced form to-date of manipulation of behaviour at mass scale to obtain strategic advantage. Instead of the corpse-ridden battlefields of kinetic warfare, the theatre of operations of CW is the human mind, and therein operations are realized on the fields of perception, emotion and memory. The goal is not termination but permanent control and exploitation. This opinion article reviews methods of CW focused on the human factors that may be manipulated not to merely control what populations think but how they think and thus how they act. It is argued that the weaponisation of sciences of brain and behaviour, combined with a distributed-computing technological millieu, can be utilised in CW to fine-tune societal and subject-level factors rendering not only all opposition infertile, but the very fact of being oppressed desirable.
Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study (Preprint)
Authors: Fu Ziru , Hsu Yu Cheng , Chan Christian S , Lau Chaak Ming , Liu Joyce , Yip Paul Siu Fai
Published: July 2023

BACKGROUND

Sentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its colloquialism and multilingualism, make it different from other languages and pose additional challenges to sentiment analysis. Recent advances in models such as ChatGPT offer potential viable solutions.

OBJECTIVE

This study investigated the efficacy of GPT-3.5 and GPT-4 in Cantonese sentiment analysis in the context of web-based counseling and compared their performance with other mainstream methods, including lexicon-based methods and machine learning approaches.

METHODS

We analyzed transcripts from a web-based, text-based counseling service in Hong Kong, including a total of 131 individual counseling sessions and 6169 messages between counselors and help-seekers. First, a codebook was developed for human annotation. A simple prompt (“Is the sentiment of this Cantonese text positive, neutral, or negative? Respond with the sentiment label only.”) was then given to GPT-3.5 and GPT-4 to label each message’s sentiment. GPT-3.5 and GPT-4’s performance was compared with a lexicon-based method and 3 state-of-the-art models, including linear regression, support vector machines, and long short-term memory neural networks.

RESULTS

Our findings revealed ChatGPT’s remarkable accuracy in sentiment classification, with GPT-3.5 and GPT-4, respectively, achieving 92.1% (5682/6169) and 95.3% (5880/6169) accuracy in identifying positive, neutral, and negative sentiment, thereby outperforming the traditional lexicon-based method, which had an accuracy of 37.2% (2295/6169), and the 3 machine learning models, which had accuracies ranging from 66% (4072/6169) to 70.9% (4374/6169).

CONCLUSIONS

Among many text analysis techniques, ChatGPT demonstrates superior accuracy and emerges as a promising tool for Cantonese sentiment analysis. This study also highlights ChatGPT’s applicability in real-world scenarios, such as monitoring the quality of text-based counseling services and detecting message-level sentiments in vivo. The insights derived from this study pave the way for further exploration into the capabilities of ChatGPT in the context of underresourced languages and specialized domains like psychotherapy and natural language processing.
Construction of Rigid Pavement by Slip form Paver
Authors: Khirid Tejas , Kangude Prajwal , Kedari Shraddha
Published: July 2023

Abstract: Road pavement plays important role on a highway road the primary junction of pavement is to transmit loads to the sub-base and underlying soil. There are mainly two types of pavement provided i.e. Rigid and Flexible pavement. However Rigid pavements have high flexural rigidity due to concrete slab and hence the pavement structure defects very little under loading , due to high modulus of elasticity of their surface course. In this project we selected study patch of 2km in the package 4 of Pune-Satara highway of rigid pavement by using “construction by slip form paver” equipment. However, the rigid pavement construction by using slip form paver gives smooth road surface and also it reduces labor workmanship. It also reduces time limit for road pavement construction and provide a durable road pavement.
ECRANISATION OF THE SERENDIPITY NOVEL BY ERISCA FEBRIANI INTO THE SERENDIPITY MOVIE BY DIRECTOR INDRA GUNAWAN
Authors: Saraswati Listya Ayu , Kamiliya Sekar Aneira
Published: July 2023

The purpose of this study is to look into the ecranisation or adaptation of literary works of plot, characters, and settings in the form of shrinking, adding, and changing variations in Erisca Febriani's novel Serendipity to Indra Gunawan's film of the same title, as well as the reasons for the ecranisation. The novel and the film are both used as primary data sources. The primary data for this study are narration and dialogues from the novel, as well as scenes and script conversations from the film. Secondary data includes popular articles, interviews, and other online social media records from the author and filmmaker. To collect data, descriptive qualitative method is used. This research uses adaptation theory from Hutcheon (2013) to analyze the data, particularly the 'what' and 'why' frameworks. As a result, shrinking, adding, and changing variations in plot, characters, and setting exist in the process of ecranisation from Serendipity novel to film. The only reason the author and film maker made this adaptation was economic reasons to make more money and target a larger audience.
THE EFFECTIVENESS OF DIGITAL LITERATURE-BASED LEARNING VIDEO ON IMPROVING STUDENT'S DIGITAL LITERATURE SKILL
Authors: Hakim Arif Rahman , Widayati Ani , Wibawa Eka Ary , Septiana Yolandaru
Published: July 2023

This study aims to determine the effectiveness of learning videos on improving the digital literacy skills of Accounting Education students between control and experimental classes. This research is quasi-experimental research with a quantitative approach. The quasi-experimental type chosen was the design of the control group that was not treated with the same pre-treatment and post-treatment samples. The study was conducted for six months. The population of this study was 310 students of Accounting Education FE UNY (8 classes) with a sample of 81 students (2 classes). The sampling technique used is purposive sampling. Research data collection techniques use questionnaires and documentation. The validity of the instrument is proved by the analysis of exploratory factors, while its reliability is estimated by the Alpha formula. Data analysis techniques use independent sample t test hypothesis test. The results showed that there was a significant difference in video effectiveness in improving students' digital literacy skills between control and experimental classes with a calculation of 2,881 and a Sig. score of 0.005. The experimental class had a higher average score than the control class with a difference of 5,375. This means that the provision of learning video treatment can improve students' digital literacy skills in the experimental group.
Visualization of deviations between different geometries using a multi-level voxel-based representation
Authors:   Fulda University of Applied Sciences, Leipziger Straße 123, 36037 Fulda, Germany, Dietze Andreas , Grimm Paul ,   Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany, Jung Yvonne ,   Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany
Published: July 2023

We present an approach for visualizing deviations between a 3d printed object and its digital twin. The corresponding 3d visualization for instance allows to highlight particularly critical sections that indicate high deviations along with corresponding annotations. Therefore, the 3d printing thus needs to be reconstructed in 3d, again. However, since the original 3d model that served as blueprint for the 3d printer typically differs topology-wise from the 3d reconstructed model, the corresponding geometries cannot simply be compared on a per-vertex basis. Thus, to be able to easily compare two topologically different geometries, we use a multi-level voxel-based representation for both data sets. Besides using different appearance properties to show deviations, a quantitative comparison of the voxel-sets based on statistical methods is added as input for the visualization. These methods are also compared to determine the best solution in terms of the shape differences and how the results differ, when comparing either voxelized volumes or hulls. The application VoxMesh integrates these concepts into an application and provides the possibility to save the results in form of voxel-sets, meshes and point clouds persistently, that can either be used by third party software or VoxMesh to efficiently reproduce and visualize the results of the shape analysis.
Fast Incremental Image Reconstruction with CNN-enhanced Poisson Interpolation
Authors:   University of Ljubljana, Faculty of Computer and Information Science, Věcna pot 113, 1000 Ljubljana, Slovenia, Erzar Blaž , Lesar Žiga ,   University of Ljubljana, Faculty of Computer and Information Science, Věcna pot 113, 1000 Ljubljana, Slovenia, Marolt Matija ,   University of Ljubljana, Faculty of Computer and Information Science, Věcna pot 113, 1000 Ljubljana, Slovenia
Published: July 2023

We present a novel image reconstruction method from scattered data based on multigrid relaxation of the Poisson equation and convolutional neural networks (CNN). We first formulate the image reconstruction problem as a Poisson equation with irregular boundary conditions, then propose a fast multigrid method for solving such an equation, and finally enhance the reconstructed image with a CNN to recover the details. The method works incrementally so that additional points can be added, and the amount of points does not affect the reconstruction speed. Furthermore, the multigrid and CNN techniques ensure that the output image resolution has only minor impact on the reconstruction speed. We evaluated the method on the CompCars dataset, where it achieves up to 40% error reduction compared to a reconstruction-only approach and 9% compared to a CNN-only approach.
Temporal Segmentation of Actions in Fencing Footwork Training
Authors:   Institute of Computer Science, AGH University of Science and Technology, Krakow, Poland, Malawski Filip , Krupa Marek ,   Institute of Computer Science, AGH University of Science and Technology, Krakow, Poland
Published: July 2023

Automatic analysis of actions in sports training can provide useful feedback for athletes. Fencing is one of the sports disciplines in which the correct technique for performing actions is very important. For any practical application, temporal segmentation of movement in continuous training is crucial. In this work, we consider detecting and classifying actions in a sequence of fencing footwork exercises. We apply pose estimation to RGB videos and then we perform per-frame motion classification, using both classical machine learning and deep learning methods. Using sequences of frames with the same class we find data segments with specific actions. For evaluation, we provide extended manual labels for a fencing footwork dataset previously used in other works. Results indicate that the proposed methods are effective at detecting four footwork actions, obtaining 0.98 F1 score for recognition of action segments and 0.92 F1 score for per-frame classification. In the evaluation of our approach, we provide also a comparison with other data modalities, including depth-based pose estimation and inertial signals. Finally, we include an example of qualitative analysis of the performance of detected actions, to show how this approach can be used for training support.
Evolutionary-Edge Bundling with Concatenation Process of Control Points
Authors:   Osaka Metropolitan University, 1-1 Gakuen-cho, Naka-ku, 5998531, Sakai, Japan, Saga Ryosuke , Baek Jaeyoung ,   Osaka Metropolitan University, 1-1 Gakuen-cho, Naka-ku, 5998531, Sakai, Japan
Published: July 2023

Edge bundling is one of the information visualization techniques, which bundle the edges of a network diagram based on certain rules to increase the visibility of the network diagram and facilitate the analysis of key relationships among nodes. As one of evolutionary-based edge bundling, genetic algorithm-based edge bundling (called GABEB) is proposed which uses a genetic algorithm to optimize the placement of edges based on aesthetic criteria. However, it does not sufficiently consider the bundling between neighboring edges, and thus visual clutter issues still remain. Based on the above background, we propose an improved bundling method that considers the concatenating of control points at each edge using GABEB.
'Freezing' as a Manuscript Preservation Method at Sonobudoyo Museum Library
Authors: Nurul Setyawati
Published: July 2023

Freezing is known as a method that is considered to quickly eradicate active forms of plants and insects so that it can kill insects and their eggs in ancient manuscripts The purpose of this research is to find out more about the causes of ancient manuscript damage and the application of freezing as a form of the ancient manuscript preservation method. The method used in this research is descriptive with an approach. The research method uses a qualitative descriptive approach. While the informants of this study were the Head of the collection, conservation, and preparation section, the Manuscript conservator, the Collection section assistant, and the Manuscript room management officer. Observation, interviews, and documentation are used as data collection methods. The data analysis method, however, makes use of three methods: data reduction, data display, and conclusion. Triangulation of sources to determine the accuracy of the data. The study discovered that insect elements such as silverfish, book lice, and book warm are the main causes of destruction to old texts. As a solution, the freezing method is applied in three stages: pre-freezing, the freezing procedure, and post-freezing. The lack of work safety equipment for officers performing freezing duties was one of the challenges. In addition, the collection was still mostly located on the second floor, making the transfer rather time-consuming.