Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS PENGARUH BUDAYA ORGANISASI, KEPEMIMPINAN DAN WORK LIFE BALANCE TERHADAP KINERJA PEGAWAI KANTOR PERWAKILAN BANK INDONESIA PROVINSI RIAU

This study aims to analyze the influence of organizational culture, leadership, and work life balance on employee performance at the Representative Office of Bank Indonesia, Riau Province. This research method is quantitative. The population in this study is the entire number of employees at the Representative Office of Bank Indonesia, Riau Province. The sampling technique in this research is using saturated sampling so that the number of samples is the same as the total population of 40 people. Analysis of the data in this study using multiple linear regression using a computer program. The results showed that there was an influence of organizational culture, leadership, and work life balance on employee performance at the Representative Office of Bank Indonesia, Riau Province. This study provides recommendations to the Representative Office of Bank Indonesia Riau Province to improve employee performance from indicators of innovation made by employees at work and indicators of employee development in addition to organizational culture that still needs to improve attitudes towards risk, action orientation, and power discance, on leadership variables it is necessary to paying attention to indicators of participation in decision making, and showing concern or interaction with the team, as well as on work life balance variables in almost all indicators such as work interfering with personal life, personal life interfering with work, satisfaction with work balance and improvisation of effectiveness at work.
Gut Bacterial Community Determines the Therapeutic Effect of Ginsenoside on Canine Inflammatory Bowel Disease by Modulating the Colonic Mucosal Barrier

Inflammatory bowel disease (IBD) comprises systemic inflammatory conditions primarily affecting the gastrointestinal tract, including Crohn’s disease and ulcerative colitis. This research aims to analyze the clinical symptoms and pathogenesis of a Dextran sodium sulfate (DSS)-induced canine IBD model and evaluate the restorative effect of ginsenoside from a pathogenesis perspective. We established the DSS-induced canine IBD model and studied the pathological mechanisms. Additionally, we examined the therapeutic effect of ginsenosides by assessing the Canine Inflammatory Bowel Disease Activity Index (CIBDAI), C-reactive protein (CRP) levels, colonic tissue morphology, protein expression, and mucosal bacterial community analysis. Our findings revealed a total ginsenoside content of 22.7% in the ginsenoside extract. Animal experiments demonstrated that dogs with IBD exhibited decreased mental state, significantly increased CIBDAI and CRP levels, disrupted colonic epithelial tissue structure, decreased expression of mucin, tight junctions, and adherens junctions, as well as reduced diversity of the colonic mucosal bacterial community. Furthermore, correlation analysis highlighted a total of 38 bacterial strains correlated with physiological indices. Significantly, ginsenoside treatment could improve these symptoms and reverse the relative abundance of some bacterial communities. In conclusion, alterations in the properties of the colonic mucus layer or the reduction in MUC2, its core component, in dogs with IBD can lead to bacterial penetration of the mucus layer and subsequent contact with intestinal epithelial cells, resulting in inflammation. Remarkably, ginsenoside intervention showcased the capacity to positively influence the relative abundance of bacteria and impact the colonic mucus layer properties, thereby offering promising prospects for IBD management and recovery.
Wildland fire in ecosystems: effects of fire on soils and water

This state-of-knowledge review about the effects of fire on soils and water can assist land and fire managers with information on the physical, chemical, and biological effects of fire needed to successfully conduct ecosystem management, and effectively inform others about the role and impacts of wildland fire. Chapter topics include the soil resource, soil physical properties and fire, soil chemistry effects, soil biology responses, the hydrologic cycle and water resources, water quality, aquatic biology, fire effects on wetland and riparian systems, fire effects models, and watershed rehabilitation.
Consumer’s Perspectives on Misinformation Links with the Consumption of Broiler Meat: A Case of Kandy District - Sri Lanka

The study described herein aimed to investigate the relationship between perceptions of hormone usage and customer preferences for broiler meat and meat products in Sri Lanka with special reference to Kandy district. A total of 460 respondents from Kandy district were interviewed using a pre-tested questionnaire. The analysis revealed that 85.9% of the respondents believes the fact that the hormones are used in broiler production. Also, 75.7% of the respondents were unaware about the fact that the hormones are totally banned from Sri Lankan broiler production. Around 71.4% believed that the hormones are still being used illegally in broiler production in Sri Lanka. The study also found that the general public (36.2%), was the main source that the respondents perceived this false information concerning hormone use. Similarly, 83.7% believes that these chemical substances create health hazards to human. 76.7% of the respondents strongly believed the fact that the adolescent girls who consume broiler meat regularly during their childhood may experience early puberty. The findings of the present study concluded that three misconceptions of (i) use of hormones to attain high growth rates in broilers (ii) hormones assumed to be present in broiler meat pose health hazards to public and (iii) frequent broiler meat consumption during childhood is accompanying with the early puberty in adolescent girls, do exists. Though the majority of the sample comprises of highly educated professionals, these misinformation were spreaded from the information generated among the general public. However stipulating a valid certification with no added hormone in broiler chicken meat will be helpful in changing the mind-set of general public.
CARACTERIZACIÓN POR GRUPOS TECNOLÓGICOS DE LOS HATOS GANADEROS DOBLE PROPÓSITO EN EL MUNICIPIO DE LAS CHOAPAS, VERACRUZ, MÉXICO Characterization by Technological Groups of Dual Purpose Livestock in the Municipality of Las Choapas, Veracruz, Mexico

The Municipality of Las Choapas has the second most important dual purpose (DP) inventory (241,432) of the State of Veracruz, Mexico. At State level occupies first place in economic contribution for meat production (MEX$ 443,663) and fifth place for milk production (MEX $ 127,777). The aim objective of this study was to characterize by technological groups livestock bovines. It was used the survey method and designed a questionnaire that included social, economic, technological and productive variables. It was interviewed 100 producers that representing 6% the census of the local livestock Association of the Municipality Census. It was descriptive statistics, cluster analysis and analysis of variance in the found groups. The traditional group (G1 = 80 ranches) has an area of 32.5 ± 16.5 ha and 1.3 ± 0.5 Unit Animal (AU) ha –1 with an output of 689.3 ±
Chapter 5 Testing for palaeogeographical patterns in the distribution of Cambrian trace fossils

Abstract We examined the palaeogeographical distribution of selected Cambrian trace fossils. Astropolichnus hispanicus, Climactichnites, Syringomorpha nilssoni and early examples of Paleodictyon all have a restricted palaeogeographical distribution, probably representing that of their producers. A cosmopolitan distribution is seen in Didymaulichnus miettensis and in early examples of Rusophycus and Dactyloidites. Oldhamia shows a wide distribution in Lower Cambrian deep-sea sediments although that of Oldhamia geniculata is restricted.
ZBP1 Drives IAV-Induced NLRP3 Inflammasome Activation and Lytic Cell Death, PANoptosis, Independent of the Necroptosis Executioner MLKL

Influenza A virus (IAV) continues to pose a significant global health threat, causing severe respiratory infections that result in substantial annual morbidity and mortality. Recent research highlights the pivotal role of innate immunity, cell death, and inflammation in exacerbating the severity of respiratory viral diseases. One key molecule in this process is ZBP1, a well-recognized innate immune sensor for IAV infection. Upon activation, ZBP1 triggers the formation of a PANoptosome complex containing ASC, caspase-8, and RIPK3, among other molecules, leading to inflammatory cell death, PANoptosis, and NLRP3 inflammasome activation for the maturation of IL-1β and IL-18. However, the role for other molecules in this process requires further evaluation. In this study, we investigated the role of MLKL in regulating IAV-induced cell death and NLRP3 inflammasome activation. Our data indicate IAV induced inflammatory cell death through the ZBP1-PANoptosome, where caspases and RIPKs serve as core components. However, IAV-induced lytic cell death was only partially dependent on RIPK3 at later timepoints and was fully independent of MLKL throughout all timepoints tested. Additionally, NLRP3 inflammasome activation was unaffected in MLKL-deficient cells, establishing that MLKL and MLKL-dependent necroptosis do not act upstream of NLRP3 inflammasome activation, IL-1β maturation, and lytic cell death during IAV infection.
Brand Equity and Its Elements: Case of the Lake Balaton (Hungary)

﻿The article provides a valuable insight into understanding brand equity and its elements that endows the destination with a unique character. Using empirical data, the study seeks to identify potential brand equity items of a destination type, namely waterside area (Lake Balaton, Hungary). The innovative approach of the research is its holistic view, because it integrates the customer-based brand equity with stakeholders’ (including media and tourism professionals) perceptions. This enables a complex understanding of the researched topic, the conclusions are summarized in the Five-Stage Brand Pyramid model. The results highlight four main dimension of the brand equity: (1) the fundamental role of destination specific (waterside in this case) attributes, (2) the country of origin elements (emotional and rational benefits of domestic travel in this case), (3) the tourism products/activities, and (4) the emotional dimension. Furthermore, the research also identifies some important gap between demand and supply side. The research resulted important theoretical (structure of brand equity, need for a complex methodology) and practical (strong emotional perceptions of consumers, comprehensive analysis of tourism products/activities) implications that can be scope of further researches.
Recognition of building shape in maps using deep graph filter neural network

Abstract Shape is one of the core features of the buildings which are the main elements of the map. The building shape recognition is widely used in many spatial applications. Due to the irregularity of the building contour, it is still challenging for building shape recognition. Inspired by graph signal processing theory, we propose a deep graph filter neural network (DGFN) for the shape recognition of buildings in maps. First, we regard shape recognition as a combination of subjective and objective graph signal filtering process. Second, we construct a shape features extraction framework from the perspective of shape details, shape structure and shape local information. Third, DGFN model can fulfil the tasks of shape classification and shape embedding of building at the same time. Finally, multi angle experiments verify our viewpoint of shape recognition mechanism, and the comparison with similar algorithms proves the high accuracy and availability of DGFN model.
The Effects of Chronological Age on the Chondrogenic Potential of Mesenchymal Stromal Cells: A Systematic Review

Tissue engineering and cell therapy for regenerative medicine have great potential to treat chronic disorders. In musculoskeletal disorders, mesenchymal stromal cells (MSCs) have been identified as a relevant cell type in cell and regenerative strategies due to their multi-lineage potential, although this is likely to be a result of their trophic and immunomodulatory effects on other cells. This PRISMA systematic review aims to assess whether the age of the patient influences the chondrogenic potential of MSCs in regenerative therapy. We identified a total of 3027 studies after performing a search of four databases, including Cochrane, Web of Science, Medline, and PubMed. After applying inclusion and exclusion criteria, a total of 14 papers were identified that were reviewed, assessed, and reported. Cell surface characterization and proliferation, as well as the osteogenic, adipogenic, and chondrogenic differentiation, were investigated as part of the analysis of these studies. Most included studies suggest a clear link between aged donor MSCs and diminished clonogenic and proliferative potential. Our study reveals a heterogeneous and conflicting range of outcomes concerning the chondrogenic, osteogenic, and adipogenic potential of MSCs in relation to age. Further investigations on the in vitro effects of chronological age on the chondrogenic potential of MSCs should follow the outcomes of this systematic review, shedding more light on this complex relationship.
Water Quality Assessment of a Tropical Wetland Ecosystem with Special Reference to Backwater Tourism, Kerala, South India

Wetland ecosystems are estimated to cover more than 1,280 million hectares and deliver a wide range of ecosystem services that contribute to human well-beings. Degradation and loss have reduced the capacity of wetlands to provide sufficient amounts and quality of water. The continued degradation of wetlands, and more specifically the continued decline in water quantity and quality, will result in further impoverishment of human health especially for vulnerable people in developing countries. The waterborne pollutants (chemical and microbiological) have a major effect on human health and chemical pollutants accumulate in the food chain to the point where they harm people. Vembanad Kol Wetland ecosystem is one of the most attractive backwater systems in the world. Tourism is now flourishing on Vembanad Lake, especially in the Kumarakom area the southern part of the lake. As a result, many new tourism facilities (like resorts and hotels) are being built without concern for either the natural wetland system or the areas culture and heritage. Variables analysed for included air and water temperature, TDS, pH, EC, DO, BOD, total alkalinity, salinity, nitrate phosphate, hardness, sodium, potassium, calcium, and silicate. The microbial analysis of different samples consist of microbial colony count, MPN (most probable number), and the presence of enteric pathogenic organisms. The acceptable level of water quality is a minimum requisite for tourism activities in all tourism destinations. The continued degradation of wetlands specifically the continued decline in water quality will result in impoverishment of human health, especially for vulnerable people in developing countries.
On the possibility to map submerged aquatic vegetation cover with Sentinel-2 in low-transparency waters

Abstract. Modifications in submerged aquatic vegetation (SAV) spatial and temporal abundance patterns indicate changes in marine environmental conditions or physical disturbances and need to be monitored. Vegetation percent cover (%cover) is recognized as one of the key parameters in SAV monitoring. Coastal waters of the Baltic Sea are often turbid and contain high amount of colored dissolved organic matter. These factors significantly reduce the water depth, where benthic parameters can be detected by remote sensing. Field campaigns were carried out in a low-transparency Pärnu Bay area to assess to what extent multispectral Sentinel-2 (S2) satellite can be used for SAV %cover mapping in such waters. An average depth restriction for S2 benthic vegetation detection remained near 1.5 to 2.0 m. Empirical and physics-based methods were applied to S2 imagery to compare their performance for SAV %cover retrieval. Both methods identified similar %cover patterns. Model validation results showed that R2 of the best-performing models remained between 0.56 and 0.66 and root-mean-square error between 22.11 and 28.06. As physics-based inversion models do not require extensive set of training data for model calibration, those can be used for retrospective time series analysis across multitemporal images.
TOP: Total Occupancy Guided Prediction of Binary Spectrum Tenancy

The applications of spectrum prediction span over a wide range of crucial fields in wireless networks, such as spectrum efficiency improvement, service quality enhancement, and network management. Despite such broad ranges of fundamental applications of spectrum prediction, existing methods are based on coarse measurement of power spectral density values. Few predictions target the actual binary tenancy of whether the spectrum slices are occupied or left unused, but their data resolution and prediction accuracy are far from satisfactory. To improve the accuracy of spectrum prediction, we propose the framework of Total Occupancy guided Prediction (TOP). It is a general prediction scheme that is flexible to incorporate an arbitrary algorithm into its framework with enhanced accuracy. Through characterizing the prediction of binary spectrum tenancy as data transmissions over the Binary Symmetric Channel (BSC), we analytically and numerically show that the two key assumptions justifying the superior performance of TOP are valid. To evaluate the accuracy of the TOP framework on spectrum tenancy from real world measurement, we set up a Software Defined Radio (SDR) testbed to measure LTE spectrum tenancy by decoding the Downlink Control Information (DCI) to gain high resolution usage at the same granularity with LTE scheduling. Armed with the high resolution data, we adapt the Multi-Layer Perceptron (MLP) algorithm into the TOP framework to validate its performance. The thorough experiments reveal that the TOP framework significantly improves MLP accuracy from 0.84 to 0.91, outperforming many state-of-the-art prediction schemes.
Progress and Perspectives in Colon Cancer Pathology, Diagnosis, and Treatments

Worldwide, colon cancer is the third most frequent malignancy and the second most common cause of death. Although it can strike anybody at any age, colon cancer mostly affects the elderly. Small, non-cancerous cell clusters inside the colon, commonly known as polyps, are typically where colon cancer growth starts. But over time, if left untreated, these benign polyps may develop into malignant tissues and develop into colon cancer. For the diagnosis of colon cancer, with routine inspection of the colon region for polyps, several techniques, including colonoscopy and cancer scanning, are used. In the case identifying the polyps in the colon area, efforts are being taken to surgically remove the polyps as quickly as possible before they become malignant. If the polyps become malignant, then colon cancer treatment strategies, such as surgery, chemotherapy, targeted therapy, and immunotherapy, are applied to the patients. Despite the recent improvements in diagnosis and prognosis, the treatment of colorectal cancer (CRC) remains a challenging task. The objective of this review was to discuss how CRC is initiated, and its various developmental stages, pathophysiology, and risk factors, and also to explore the current state of colorectal cancer diagnosis and treatment, as well as recent advancements in the field, such as new screening methods and targeted therapies. We examined the limitations of current methods and discussed the ongoing need for research and development in this area. While this topic may be serious and complex, we hope to engage and inform our audience on this important issue.
LF-YOLOv4: a lightweight detection model for enhancing the fusion of image features of surface defects in lithium batteries

In response to the low accuracy of traditional methods for detecting surface defects in lithium batteries, as well as the problems of large model size and high computational complexity in current detection models, this article proposes a new lightweight LF-YOLOv4 model that enhances image feature fusion. Firstly, replace the CSPDarknet53 backbone network in YOLOv4 with a lightweight MobileNetv2 network, thereby greatly reducing the computational parameters of the network while ensuring the ability to extract features. Secondly, in order to further reduce the number of model parameters and computational complexity, and minimize potential accuracy loss as much as possible, an improved depthwise separable convolution (DSC-SE-HsId) in this article was studied, which replaced some ordinary convolutions in the Neck and Head networks. Finally, in order to compensate for the partial accuracy loss caused by lightweight operations, and also to fuse feature maps of different scales to obtain more complete feature information, a new lightweight adaptive spatial feature fusion module (LSE-ASFF) in this article was studied and embedded behind the existing path aggregation network (PANet). In order to verify the performance and widespread applicability of the improved model, we conducted tests using the self-built lithium battery surface defect dataset, and the steel surface defect dataset provided by Northeastern University. Moreover, in order to prevent the network training from over fitting due to too few defect samples in the self-built dataset, we also used image enhancement to expand the dataset. And the experiment results show that the improved model proposed in this article achieves the highest TOPSIS score in both experimental datasets. Among them, compared with YOLOv4 on the self-built dataset, our improved model not only increases mAP50 by 2.97%, reaching 97.83%, but also has model parameters of only 18.16% of the original model, floating point of operations of only 13.87% of the original model, model size of only 21.02% of the original model, and model training time shortened by 30.67% compared to the original model. At last, the effectiveness and superiority of the improved model in this article are demonstrated through example analysis and comparison.
A Test of Agency Theory of Divided Relevance on the Firm Value of Listed Nigerian Deposit Money Bank

The main objective of this study is the agency theory of dividend relevance on the firm value of listed Nigerian deposit money banks (DMBs) for ten years, 2011–2020. The study used an ex-post facto panel research design. The data for the study was collected from the published financial statements of sampled banks. The study's dependent variable is market capitalization, a proxy of firm value, while the independent variables are dividend payout and agency cost, respectively. The data estimation was conducted using the panel data technique. The findings showed that the dividend payout and agency cost effects on firm value are positive and negative but statistically significant and insignificant. In contrast, the joint effects of dividend payout and agency cost on a firm's value are statistically insignificant. This result implies that dividend payout has a unique effect (direct effect) on firm value but does not moderate the effect of agency cost on firm value in Nigerian DMBs. This can be attributed to the unique nature of banks, which may be due to the intense supervision by the regulatory authorities. Keywords: Agency cost, market capitalization, firm value, direct effect, dividend payout