Miracle-dz/UniFAR-FTUs huggingface dataset:
Phospholipase A2 Group IIA Is Associated with Inflammatory Hepatocellular Adenoma

Simple Summary Phospholipase A2 Group IIA (PLA2G2A), discovered by single-cell gene expression analysis, is useful for the diagnosis of hepatocellular adenoma (HCA) with conventional HCA-specific markers. Improved diagnostic criteria will avoid unnecessary surgery and lead to options such as drug therapy. Abstract Although benign hepatocellular adenomas (HCA) are very rare, recent observations have shown their occurrence in patients with diabetes mellitus. Consequently, most of these cases are treated by resection due to concerns regarding their potential progression to hepatocarcinoma (HCC). This decision is largely driven by the limited number of studies on HCC subtyping and the lack of molecular and biological insights into the carcinogenic potential of benign tumors. This study aimed to comprehensively investigate the subtype classification of HCA and to compare and analyze gene expression profiling between HCA and HCC tissues. One fresh inflammatory HCA (I-HCA), three non-B non-C HCCs, two hepatitis B virus-HCCs, and one normal liver tissue sample were subjected to single-cell RNA sequencing (scRNA-seq). Comparative analysis of scRNA-seq among different tissues showed that phospholipase A2 group IIA (PLA2G2A) mRNA was specifically expressed in I-HCA, following RNA-seq analysis in formalin-fixed paraffin-embedded tissues from other HCAs. Immunohistochemistry using the PLA2G2A antibody in these tissues indicated that the positive reaction was mainly observed in hepatocytes of I-HCAs and stromal cells surrounding the tumor tissue in HCC were also stained. According to a clinical database, PLA2G2A expression in HCC does not correlate with poor prognosis. This finding may potentially help develop a new definition for I-HCA, resulting in a significant clinical contribution, but it requires validation with other fresh HCA samples.
A new late Neogene time scale : Application to Leg 138 sites

The sediments recovered during Leg 138 provide a remarkable opportunity to improve the geological time scale of the late Neogene. We have developed new time scales in the following steps. First, we constructed age models on the basis of shipboard magnetostratigraphy and biostratigraphy, using the time scale of Berggren, Kent, and Flynn (1985). Second, we refined these age models using shipboard GRAPE density measurements to provide more accurate correlation points. Third, we calibrated a time scale for the past 6 m.y. by matching the high-frequency GRAPE density variations to the orbital insolation record of Berger and Loutre (1991); we also took into account δ 1 8 θ records, where they were available. Fourth, we generated a new seafloor anomaly time scale using our astronomical calibration of C3A.n (t) at 5.875 Ma and an age of 9.639 Ma for C5n.ln (t) that is based on a new radiometric calibration (Baksi, 1992). Fifth, we recalibrated the records older than 6 Ma to this new scale. Finally, we reconsidered the 6to 10-Ma interval and found that this could also be partially tuned astronomically.
ANÁLISE QUANTITATIVA

A análise quantitativa permite situar, quantificar e organizar elementos, envolve diversos parâmetros conforme o objeto de estudo, sendo a análise bibliométrica uma das mais conhecidas. A bibliometria é uma metodologia de técnica quantitativa e estatística. Diante disso, esta pesquisa tem como objetivo principal demonstrar por meio de redes de citação a relação existente entre a arquivologia e a memória e suas inter-relações. Para isso, utilizou-se artigos depositados na Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação, que abrangem o período de 1990 a 2020. A metodologia é de caráter exploratória e descritiva e de abordagem qualiquantitativa, utilizando-se do método a bibliométrica para realizar a análise dos dados. Os dados coletados para esta análise foram as citações dos 23 artigos selecionados. Neste trabalho, foi utilizado o software Vosviewer. A diferença entre a tradicional bibliografia e a bibliometria é que esta utiliza mais métodos quantitativos do que aquela, que faz uso de métodos discursivos. A bibliometria é utilizada também para analisar o desenvolvimento científico de determinada área do conhecimento, como nesta pesquisa. Como resultados da pesquisa conclui-se que apesar da forte relação que existe entre arquivo e memória, as pesquisas ainda são restritas e estão mais interligadas à história e ao patrimônio do que à ciência dos arquivos.
A case of surgical treatment of Type 2 Atresia Ani and Rectovaginal Fistula in a Kitten

Congenital type 2 atresia ani, accompanied by a rectovaginal fistula, is a rare condition in cats that forms an abnormal connection between the rectum and vagina. This case presentation involves a 4-week-old female British Shorthair kitten brought to Istanbul University Cerrahpasa Faculty of Veterinary Medicine Hospital Surgical Clinics with complaints of congenital type 2 atresia ani and the accompanying rectovaginal fistula. The owners of the kitten sought veterinary care due to difficulties with defecation since birth. Upon clinical examination, the absence of an anal opening and contamination of the vulvar cavity with feces were observed. Contrast X-ray confirming that the anus was closed and surgery was decided. During the surgery, anal sphincters were preserved, and a "+" shaped incision was made in the anus to reach the rectum. The rectum was separated from the vaginal connection, and the fistula was closed. The kitten recovered smoothly and, during a one-year follow-up, was able to defecate normally by going to the litter box on its own. This case presentation highlights the importance of surgical interventions in the diagnosis and treatment of atresia ani and rectovaginal fistula.
Forest Types of Pashupati Sacred Grove, Kathmandu, Nepal

A year round phytosociological study was carried out in 2012 to study different forest types in Pashupati Sacred Grove in Kathmandu Valley. Concentric circular plots (n-19) were laid down along eight parallel transects, 100 m apart from each other, traversing north and south passing through various vegetations. Our results showed that the grove had experienced change in forest types over the time period. Three forest types namely Schima-Pyrus , Moist ( Myrsine- Persea ) and Mixed ( Quercus-Myrsine ) were identified based on the importance value Index (IVI) of tree species instead of Myrsine-Schima forest which had once dominated the grove. Tree density greatly changed in different forest types and showed strong correlation between canopy cover and tree density, supporting the results of previous studies. J. Nat. Hist. Mus. Vol. 27, 2013: 72-77
Phenolic Compounds and Antioxidant Properties of Fermented Beetroot Juices Enriched with Different Additives

Fermented beetroot juice is a beverage obtained from the fermentation of beetroot, most commonly red beet (Beta vulgaris L. var. conditiva). Nowadays, this product is increasingly recognised as a functional food with potentially beneficial health properties. It has been suggested to have antioxidant, anti-inflammatory, anticancer, antihypertensive, immunomodulatory, and probiotic effects, among others. Moreover, with the increasing popularity of the drink, newer variants are appearing in the food market, obtained by modifying the traditional recipe, adding other raw materials, herbs, and spices. Therefore, the aim of this study was to evaluate and compare the antioxidant potential and phytochemical composition of the selected fermented beetroot juices in different flavour variants available in the Polish food market. The study material consisted of six fermented beetroot juices: traditional, with garlic, with horseradish, with acerola, without salt, and iodized. The obtained results showed that the addition of acerola, horseradish, garlic, salt, and iodine in the form of sodium iodide and potassium iodide influenced the composition and properties of fermented beetroot juice. The most promising product in terms of potentially beneficial health properties related to the prevention of free radical diseases was fermented beetroot juice without salt (FRAP—5663.40 µM Fe (II)/L, ABTS—96.613%, TPC—760.020 mg GAE/L, TFC—221.280 mg RE/L). Iodized fermented beetroot juice had the highest vitamin C content—51.859 mg/100 mL. However, all the products tested were characterised by a significant content of biologically active substances with antioxidant properties and showed a high antioxidant potential. Moreover, all the fermented beetroot juices were rated positively in terms of flavour intensity, sweetness, acidity, colour, and overall acceptability. They can, therefore, be a good source of antioxidants in the daily diet.
Strategi Pemasaran Produk VSAT Kuband Pada Layanan Internet dengan Pendekatan Analisa Five Porters dan Fuzzy SWOT

Penelitian ini mencoba untuk menganalisa posisi produk Kuband VSATpada pasar internet di Indonesia dengan menggunakan analisa FivePorters dan untuk menentukan pilihan strategi pengembanganpemasaran produk VSAT Kuband dengan menggunakan analisa FuzzySWOT. Obyek penelitian dilakukan pada PT. X di Indonesia denganmenggunakan data kuesioner dari tujuh responden yang memilikikompetensi di bidang VSAT Kuband. Hasil analisa menggunakan FivePorters menerangkan bahwa peluang produk VSAT Kuband cukupkompetitif dengan nilai Middle. Untuk hambatan faktor eksternalterbesar adalah ancaman dari pesaing (83%) dan ancaman produksubstitusi (57%). Hasil analisia Fuzzy SWOT menempatkan koordinatmatriks SWOT dalam posisi Threats Weakness (-0,64, -1,05) untukkondisi Pesimis, dalam posisi Strength Opportunity (1,74, 1,73) untukkondisi Kemungkinan dan dalam posisi Strength Opportunity (2,97,3,08) untuk kondisi optimis. Hasil ini menunjukkan bahwa produkVSAT Kuband berada dalam kuadran Strength Opportunity (SO). Olehkarena itu strategi pemasaran yang agresif dengan menggunakanKekuatan untuk memanfaatkan Peluang yang ada dapat diterapkan.
Exploring the Impact of Parent Gathering Programs on Cultivating Religious Character in Early Childhood: A Case Study

Purpose – This study aims to investigate the positive impact of the parent gathering program implemented at TKIT Baitul Izzah Nganjuk on building children's religious character. The motivation for this study stems from the prevalent crisis in the country involving children, characterized by increasing violence, crime, and poor habits. Addressing these issues, the study explores the necessity of implementing a collaborative program between schools and parents to foster children's religious character. Design/methods/approach – The study was conducted at TKIT Baitul Izzah Nganjuk using a qualitative research method presented in a narrative format. Data collection comprised observation, interviews, and documentation. Data analysis was performed using the Miles and Huberman model. Findings – The study revealed that the parent gathering program included three main components: workshops, socialization, and evaluation. The religious character education implemented encompassed routine activities, periodic activities, and teaching and learning activities. The program's benefits were observed in shaping effective parenting patterns and fostering in children an awareness of worship, faith, and good behavior. Research implications/limitations – This research recognizes its scope limitations, focusing solely on the parent gathering program for new students. Practical implications – The findings indicate that the parent gathering program is a valuable tool for building the religious character of early childhood, necessitating cooperation between the school and parents. Originality/value – The implementation of the parent gathering program has shown effectiveness in nurturing religious character from an early age. Paper type Case study
Evaluating Conditional and Unconditional Correlations Capturing Strategies in Multi Label Classification

In the last few years, multi label classification has attracted many scholars and researchers; due to the increasing number of modern domains that are applicable to this general type of classification. Recently, it has been believed by many researchers that the best way to handle the problem of multi label classification is by exploiting the correlations among labels. Two main strategies have been utilized to capture these correlations: conditional correlations and unconditional correlations capturing strategies. In this paper, an extensive evaluation of both strategies has been conducted, to determine the best strategy to handle multi label classification, with respect to the size of the data set and the optimized loss function. Results showed that the unconditional correlations capturing strategy overcomes the conditional correlations capturing strategy in all multi label data sets that have been used in this experiment.
Towards Road Traﬀic Management with Forecasting on Wall Displays

Road trafﬁc control centers are of vital importance to modern cities. Interviews with controllers in two such centers identi-ﬁed the need to incorporate the visualization of results from predictive trafﬁc models with real trafﬁc, to help operators choose among different interventions on the network. We explore this idea in a prototype that runs on a wall display, and supports direct touch and input from workstations and mobile devices. Apart from basic functionality to manage the current trafﬁc such as changing trafﬁc light duration or speed limits, the prototype incorporates trafﬁc simulations for forecasting results of possible actions, highlighting their differences to current trafﬁc. Based on needs identiﬁed in our interviews, we offer two techniques that visually combine simulated and real situations, taking advantage of the large display space: multiple independent views and DragMagic, a variation of magic lenses. A preliminary laboratory experiment suggests that both techniques are viable design options, even for monitoring several simulations and areas of interest, contrary to expectations from previous work. However DragMagics are easier to master. An informal feedback session with our experts showed promising early feedback.
Surgical Video Summarization: Multifarious Uses, Summarization Process and Ad-Hoc Coordination

While surgical videos are valuable support material for activities around surgery, their summarization demands great amounts of time from surgeons, resulting in the production of very few videos. We study the practices involving surgical video to motivate and inform the future design of tools for their summarization. Through interviews and observations in a feld study, we fnd that (1) video summaries provide an important support for surgery, being used for self-improvement, education, discussing cases, scientifc research, patient communication and as legal resources; (2) video summarization follows a process hindered by the loss of knowledge that originates during recording; and, (3) surgeons develop ad-hoc coordination strategies which involve using the video itself for articulation work, making it both the feld of work and coordination artifact. We discuss ways in which tools can facilitate capturing knowledge during live action using these strategies. CCS Concepts: • Human-centered computing → Empirical studies in HCI .
Examining whether exposure to external information influences perceptions of increased crime at an Olympic Games host destination: The case of London 2012

Risks associated with the Olympic Games have been studied; however, there is a lack of research that empirically examines whether exposure to external information influences prospective tourists’ destination risk perceptions. A survey of 1,200 British, Australian, and Canadian residents was conducted to examine factors that influence prospective tourists’ perceptions of increased crime in London during the 2012 Summer Olympic Games. The age group 55-64 was a significant predictor, while other age groups, income, and gender were not significant predictors. While controlling for demographics, past experience traveling to London and attending the Games were not significant predictors. Travel advisories and reading about the London riots were significant predictors, while watching television coverage of the riots and reading social media messages related to crises in London were not significant predictors while controlling for demographics and past experience. Lastly, travel risk perceptions were a significant predictor, while controlling for the previous independent variables.
Suiform Soundings

Progress in 2007 on the captive breeding of Javan warty pigs ( Sus verrucosus ) in Indonesia has been relatively slow due to some problems. First, being in a predominantly Moslem country, the presence of such a “pig breeding centre” faces social resistance due to the “haram” (prohibited) status in the religion. All wild pigs in Java are also considered to be pests, therefore the presence of captive breeding facilities is unacceptable to the majority of people for fear of pigs escaping. Lastly, to obtain live Warty pigs is a big job, as no hunters are willing to catch live pigs as the chances of getting “warty pigs” are very low. A pamphlet/poster has since been distributed requesting assistance should some-one catch or know of the whereabouts of live warty pig. We finally had success with the location of a breeding centre in Sukabumi, using the existing animal rescue facility, in August 2007. Thus far we have 3 heads on the premises: one confirmed adult male, Sus verrucosus
Prognostic significance of lymph nodes assessment during pulmonary metastasectomy: a systematic review and meta-analysis

Background Lung metastasectomy is an accepted treatment modality worldwide. Whether the addition of lymph node dissection to the procedure is useful remains, however, unknown. Methods We performed a systematic review of the literature analyzing MEDLINE, Embase, until 31st October 2021. We included all studies which met the inclusion criteria aiming to determine if the addition of lymph node tissue dissection/sampling to lung metastasectomy offers survival benefits when compared to patients who do receive lymph node tissue dissection. Secondary outcomes were 3- and 5-year overall survival (OS) and disease-free survival (DFS). Each study was assessed for risk of bias. The data collected from the included studies were pooled using reconstruction of individual-level patient data and pooling of reported 5-year odds ratios (ORs). Interstudy heterogeneity was estimated with visual inspection of forest plots and calculation of the I2 inconsistency statistic. Results We found 11 eligible studies that included a total of 3,310 patients. The most common primary tumor type was colorectal cancer (1,740 patients) and the most commonly performed operative procedure was wedge resection (57%) followed by lobectomy (39%). When resection status was reported, R0 resection was achieved in 90% of the cases. Nine studies did not show a statistically significant effect of lymph nodes dissection or sampling on the 5-year OS with a pooled hazard ratio (HR) of 0.94 [95% confidence interval (CI): 0.82, 1.08; I2=26%; 95% prediction interval (PI): 0.70, 1.24]. Regarding DFS, the pooled HR 0.60 (95% CI: 0.44, 0.80; I2=31%; 95% PI: 0.12, 2.09). Conclusions The addition of lymph node tissue dissection during lung metastasectomy was not associated with a significant benefit in OS and showed a slight tendency towards a better DFS.
Experimental Investigation of Hydraulic Fracturing Fluid Based on Pseudo Gemini Surfactant with Polysaccharide Addition

In the last decade, hydrogels for hydraulic fracturing based on viscoelastic surfactants have been actively studied. Interest in these systems is justified by their unique qualities: good viscoelasticity and the ability to form stable suspensions of proppant or sand, destruction without the formation of bridging agents, hydrophobization of the rock surface and metal of technological equipment, as well as oil-cleaning properties. These qualities are most often provided by a minimum set of components—a surfactant and an electrolyte. However, the absence of a polymer limits the use of these gels in formations where fluid leakoff is possible. In this article, a liquid was studied, based on a pseudo gemini surfactant (PGVES) with the addition of a water-soluble polysaccharide. The objects of study were selected based on the assumption of interactions between PGVES and the polymer; interactions which favorably influence the technological characteristics of the fracturing fluid. To confirm the hypothesis, rheological studies were carried out. These included rotational viscometry and oscillatory studies at various temperatures. The settling velocity of particles of various proppant fractions was studied and tests were carried out to assess fluid leakoff. The performed experiments show an improvement in the characteristics of the PGVES-based gel under the influence of the polysaccharide. In particular, the rheological properties increase significantly, the stability of proppant suspensions improves, and the fluid leakoff of systems decreases, all of which expands the possibility of using these fracturing fluids and makes this area of experimentation promising.
Optimizing Crop Yield Prediction in Precision Agriculture with Hyperspectral Imaging-Unmixing and Deep Learning

— The optimization of crop yield projections has arisen as a major problem in modern agriculture, due to the increasing demand for food supply and the necessity for effective resource management. Precision and scalability are hampered by the limits associated with conventional agricultural production prediction techniques, which mostly rely on observations and simple data sources. While methods like random forest (RF) and K-nearest neighbors (KNN) are widely used, their reliance on personal assessments and insufficient knowledge of crop attributes typically results in less accurate forecasts and makes them unsuitable for agricultural precision. The suggested method combines deep learning, spectral unmixing, and hyperspectral imaging methods to overcome these obstacles. With the use of hyperspectral imaging, which records a vast array of data that is not visible to the human eye, crop attributes may be thoroughly examined and can identify the unique spectral fingerprints of different agricultural constituents by using spectral unmixing approaches, which makes it easier to evaluate the health and growth phases of the crop. Then, using this augmented spectral data, deep learning algorithms create a solid, data-driven basis for precise crop production prediction. MATLAB has been used in the suggested workflow. The combination of deep learning, spectrum unmixing, and hyperspectral imaging provides a comprehensive, cutting-edge approach that goes beyond the constraints of conventional techniques were implemented in python. Some of the algorithms that were examined, this one with integration has the lowest Root Mean Square Error (RMSE) of 0.15 and Mean Absolute Error (MAE) of 0.14, demonstrating higher prediction accuracy above other current models. This novel method represents a substantial breakthrough in precision agriculture while also improving crop production prediction.