Miracle-dz/UniFAR-FTUs huggingface dataset:
expres-Comprehensive investigation of the expression profiles of common long noncoding RNAs during microglial activation

function of common lncRNAs that contribute to microglial activation remains unclear. Thus, we used bioinformatic approaches to identify common lncRNAs involved in microglial activation in vitro . Our study identified several lncRNAs as common regulators of microglial activation. We identified 283 common mRNAs and 53 common ln-cRNAs during mouse M1 microglial activation processes, whereas 26 common mRNAs and five common lncRNAs were identified during mouse M2 microglial activation processes. A total of 648 common mRNAs and 274 common lncRNAs were identified during the activation of human M1 microglia. In addition, we identified 1,920 common co-expressed pairs in mouse M1 activation processes and 25 common co-expressed pairs in mouse M2 activation processes. Our study provides a comprehensive understanding of common lncRNA expression profiles in microglial activation processes in vitro . The list of common lncRNAs identified in this study provides novel evidence and clues regarding the molecular mechanisms underlying microglial activation.
Assessing the impact of waves and platform dynamics on ﬂoating wind turbine energy production

Waves have the potential to increase the power output of a ﬂoating wind turbine forcing the rotor to move against wind. Starting from this observation, we use four multi-physics models of increasing complexity to investigate the role of waves and platform movements in the energy conversion process of four ﬂoating wind turbines of 5-15 MW in the Mediterranean Sea. The current technology of spar and semi-submersible ﬂoating wind turbines is not suitable to exploit the energy of waves because their design philosophy aims to minimize motions and structural loads, whereas large along-wind rotor movements 5 are needed to increase the power output. Instead, in a realistic met-ocean environment, the power curve of the ﬂoating wind turbines we analyzed is lower than with a ﬁxed foundation, with AEP reductions of 1.5-2.5%. The lower energy production is mainly ascribed to the platform static tilt, which reduces the rotor area projection on the vertical plane, and to ﬂoating-speciﬁc features of the turbine controller, that are thought to mitigate structural loading sacriﬁcing performance.
Occupational Etiology of Oropharyngeal Cancer: A Literature Review

While abundant evidence exists linking alcohol, tobacco, and HPV infection to a carcinogenic impact on the oropharynx, the contribution of inhalational workplace hazards remains ill-defined. We aim to determine whether the literature reveals occupational environments at a higher-than-average risk of developing oropharyngeal cancer (OPC) and summarize the available data. To identify studies assessing the relationship between occupational exposure and risk of OPC, a search of the literature through the PubMed-NCBI database was carried out and, ultimately, 15 original articles meeting eligibility criteria were selected. Only original articles in English focusing on the association between occupational exposure and risk or death of specifically OPC were included. The available data are supportive of a potentially increased risk of OPC in waiters, cooks and stewards, artistic workers, poultry and meat workers, mechanics, and World Trade Center responders exposed to dust. However, the available literature on occupation-related OPC is limited. To identify occupational categories at risk, large cohorts with long follow-ups are needed. Identification of causal associations with occupation-related factors would require dose–response analyses adequately adjusted for confounders.
Comparison of the efficiency of organic compounds decomposition in sewage sludge using selected physical, chemical and biological methods

Sewage sludge, commonly used in the process of municipal wastewater treatment, is characterized by high organic load and therefore is a valuable substrate in the process of methane fermenta - tion. However, their biodegradability may be limited by the presence of microorganisms, which show limited susceptibility to decomposition in anaerobic conditions. The aim of the conducted research was to compare the efficiency of decomposition of organic compounds in excess sludge by various methods before sending the sludge to fermentation. The paper refers to selected physical (ultrasound field, microwave radiation, low-temperature modification up to 100°C, modification with dry ice), chemical (hydrogen peroxide, Fenton’s reagent, peracetic acid) and biological (enzy - matic biopreparations) method of sludge disintegration garbage. Excess sludge from a mechani - cal–biological sewage treatment plant with the use of a highly effective method of removing bio - genic substances was used as the research substrate. As a result of the use of selected physical, chemical, and biological methods of sludge disintegration, an increase in potential susceptibility to biodegradation was observed already at the stage of modification, which was confirmed by methane fermentation in the next stage and the biogas yield recorded. The highest process effi - ciency in terms of biogas production was recorded for sludge modified with the peracetic acid method, that is, 0.85 L/g·VSS, while the lowest increase in unit biogas production was obtained for sludge modified with dry ice 0.44 L/g·VSS.
CRP Monitoring in Early Hospitalization: Implications for Predicting Outcomes in Patients with COVID-19

Elevated C-reactive protein (CRP) levels have been associated with poorer COVID-19 outcomes. While baseline CRP levels are higher in women, obese individuals, and older adults, the relationship between CRP, sex, body mass index (BMI), age, and COVID-19 outcomes remains unknown. To investigate, we performed a retrospective analysis on 824 adult patients with COVID-19 admitted during the first pandemic wave, of whom 183 (22.2%) died. The maximum CRP value over the first five hospitalization days better predicted hospitalization outcome than the CRP level at admission, as a maximum CRP > 10 mg/dL independently quadrupled the risk of death (p < 0.001). Males (p < 0.001) and patients with a higher BMI (p = 0.001) had higher maximum CRP values, yet CRP levels did not impact their hospitalization outcome. While CRP levels did not statistically mediate any relation between sex, age, or BMI with clinical outcomes, age impacted the association between BMI and the risk of death. For patients 60 or over, a BMI < 25 kg/m2 increased the risk of death (p = 0.017), whereas the reverse was true for patients <60 (p = 0.030). Further impact of age on the association between BMI, CRP, and the risk of death could not be assessed due to a lack of statistical power but should be further investigated.
Geochronology of high-grade metamorphism in the Sveconorwegian belt, S. Norway: U-Pb, Th-Pb and Re-Os data

The Mesoproterozoic crust in the southwest part of the Fennoscandian Shield was reworked during the Sveconorwegian orogeny (Pasteels & Michot 1975; Berthelsen 1980; Demaiffe & Michot 1985; Falkum 1985). Though this idea has been well established in the literature for decades, it is not until recently that the Sveconorwegian age of high-grade metamorphism was established in all lithotectonic units of the Sveconorwegian orogenic belt. Especially controversial was the timing of granulitefacies metamorphism in the Bamble Terrane in south Norway (Kullerud & Dahlgren 1993) and the Eastern Segment in southwestern Sweden (Johansson et al. 1991). Today, the objective is to improve the chronologic and tectonic model for the Sveconorwegian orogenic event itself. In this paper, monazite, zircon and titanite U-Pb data and molybdenite Re-Os data are reported from metamorphic rocks to date high-grade metamorphism in the four main lithotectonic units in south Norway. A pressure-temperature estimate is reported for one critical sample. These data were derived from material collected over several years, in the course of regional geologic investigations, and analysed using different analytical methods. Together, they provide a significantly enlarged field coverage, and point to important differences in the metamorphic evolution of the four lithotectonic units. These data are integrated in an orogen-scale tectonometamorphic model in a companion paper (Bingen et al. 2008).
Vulnerability in Rural Bangladesh: Learning from Life History Interviews

This paper explores the nature of vulnerability and its relationship to chronic poverty in rural Bangladesh drawing from 293 life-history interviews conducted by the author and a small team of researchers in rural Bangladesh in 2007. The aim of the paper is to provide insights into causal processes, within contextual detail, in order to complement quantitative research into patterns of vulnerability and to inform social protection policy. The paper explores vulnerability as a key aspect of poverty and takes a longitudinal and multidimensional perspective. The paper focuses on causes of long-term well-being decline in poor people’s lives, explored as the combination of: a lack of opportunities, or impeded ability to exploit opportunities; exposure to acute ‘shocks’ and chronic downward pressures; and the long-term diminution of coping resources. It considers how short-term coping with shocks and downward pressures can sometimes affect prospects for long-term improvement, including the danger that poverty traps may be deepened by destructive coping strategies. It also discusses how perceived future threats to life and livelihood can have present consequences, again particularly for the poorest, who tend to be most exposed to key causes of decline and least protected when they happen. The paper provides evidence that poverty traps are linked to vulnerability. It argues that this linkage occurs not only because of the denuded endowments of key assets and capabilities of vulnerable people, but also because of liabilities and disabilities. Increased exposure to the most damaging forms of shocks and downward pressures, and impeded or damaging coping strategies result. These all combine to contribute to patterns of cumulative decline for the most vulnerable.
CARASSIUS GENETIC DIVERSITY INVESTIGATION FROM TAUTESTI LAKE (IASI COUNTY)

n this experiment we investigated the genetic diversity of Carassius gibelio Bloch, individuals, from Tautesti (Iasi County) pond, using the sequencing of cytochrome b as a codominat-marker. The analysis of cytochrome b first part gene coding region has permitted to establish if there is a wild population or the pond was repopulated in the last years.
Summer Drought Patterns in Canada and the Relationship toGlobal Sea Surface Temperatures

Abstract Canadian summer (June–August) Palmer Drought Severity Index (PDSI) variations and winter (December– February) global sea surface temperature (SST) variations are examined for the 63-yr period of 1940–2002. Extreme wet and dry Canadian summers are related to anomalies in the global SST pattern in the preceding winter season. Large-scale relationships between summer PDSI patterns in Canada and previous winter global SST patterns are then analyzed using singular value decomposition (SVD) analysis. The matrix for the covariance eigenproblem is solved in the EOF space in order to obtain the maximum covariance between the singular values of the SST and the PDSI. The robustness of the relationship is established by the Monte Carlo technique, in which the time expansion of the primary EOF analysis is shuffled 1000 times. Results show that the leading three SVD-coupled modes explain greater than 80% of the squared covariance between the two fields. The interannual El Nino–Southern Oscillation (ENSO), the .
Different Isoforms of PML-RARA Chimeric Protein in Patients with Acute Promyelocytic Leukemia: Survival Analysis per Demographic Characteristics, Clinicohematological Parameters, and Cytogenetic Findings

Background & Objective: Acute Promyelocytic Leukemia (APL) is a medical emergency with potentially fatal complications. APL primarily results from a chromosomal translocation (t(15;17)(q22;q21)), leading to the formation of the PML-RARA fusion gene with three possible isoforms. This study aims to investigate the characteristics of Iranian APL patients, the distribution of PML-RARA isoforms, and survival analysis. Methods: We included 145 consecutive eligible patients in this study. Data were collected through archived documents and phone inquiries, following consent. Subsequently, we analyzed the data using SPSS software version 26.0. Results: We examined 75 men and 70 women, with a mean age of 34 years (range: 2-78 years). Besides t(15;17) (q22;q21), 45.6% had other chromosomal abnormalities. The prevalence of bcr1 and bcr3 isoforms was 73% and 27%, respectively. bcr3 correlated with higher white blood cell (WBC) counts, additional chromosomal abnormalities, and faster Complete Hematologic Response (CHR). Early death occurred in approximately 36% of all patients. The mean overall survival time was 73.5 months, with 120-month survival rates of 53.8% for all patients and 83.9% for those who achieved CHR. Univariate analysis identified old age, relapse, lower platelet (PLT) counts, higher WBC counts, and leukocytosis as survival risk factors. However, in multivariate analysis, only old age and higher WBC counts were identified as adverse prognostic factors. Conclusion: In Iranian APL patients, bcr1 predominates, while bcr3 correlates with higher WBC counts, high-risk categorization, additional chromosomal abnormalities, and faster CHR. Survival is negatively impacted by old age, relapse, lower PLT counts, higher WBC counts, and leukocytosis.
THE ROLE OF SPACE SYNTAX IN SPATIAL COGNITION: evidence from urban China

The urban environment, to some degree, can facilitate/limit one’s orientation, depending on the structure and characteristics of the physical elements of the city. In this regard, Lynch’s (1960) concept of imageability/legibility has been fundamental in the urban design, planning, architecture, and environmental design fields for a few decades. Lynch argued that a strong imageable city could facilitate humans’ orientation in the city. However, urban design research has also criticized Lynch’s work for ignoring the relational characteristics between physical elements of the urban environment (Golledge & Stimson, 1997; O’Neill, 1991). Recent research has suggested that space syntax methodology could address the limitations of Lynch’s approach to urban spatial cognition (Kim & Penn, 2004; Penn, 2003; Kim, 2001). The discussed limitations in extant literature are being addressed in an ongoing research study undertaken in Changsha, China. In particular, we explore the relationship between humans’ cognitive representations and overall spatial configuration of an urban environment and the effects that different spatial configurations of an urban environment have on legibility of the environment. We use a space syntax approach to measure spatial configuration of neighborhoods and sketch maps, recognition tests as well as interviews to measure humans’ spatial representation and legibility of the environment. This paper will focus on the research methodology and present initial findings, that is, the relationships between perceived landmarks and spatial configuration.
Survey of Inflammatory Biomarkers in Blood and Sputum in Pulmonary Tuberculosis Patients

Write / type abstract in this section. Abstract written using Times New Roman 11, structured (150 - 200 words), consisting of 1 paragraph. Abstract in Indonesian and English. The authors must follow the instructions given in this guide. This document can be used as a reference in writing your manuscript. Be sure not to change the style in this template, including the type and size of the font, the size of the space, the indent distance, and so on. The abstract component consists of Background, Objectives, Methods, Results, and Conclusions. Excludes tables, ref-erences, abbreviations and acronyms that are not explained, do not contain infor-mation or conclusions that are not in the text.
Performance Evaluation of Millimeter Wave – MIMO System Based on Hybrid Precoding and Combining

In the 5G wireless communication network, the mmwave used in most applications provides high data rates, low latency, high system capacity, and huge available bandwidths, but the multiuser case in the mmwave frequency range causes high path loss and reduced system performance. An ef ﬁ cient way to achieve high-performance large antenna arrays is hybrid precoding techniques that shall be applied at the base stations (BS) and mobile stations (MS). It is found that full digital precoding with large antenna arrays consumes high power and high hardware cost. This study presents low complexity hybrid precoding and combining techniques with a limited feedback system, based on the orthogonal matching pursuit (OMP) algorithm for both single and multiuser cases and compared its results with analog-only beamsteering. Moreover, the methods studied to describe hybrid precoding techniques are minimum mean square error (MMSE), zero forcing (ZF), andanalog-only beamsteering.Simulation results show that the minimum mean square error(MMSE) precoders performed better than other hybrid precoding approaches. In addition, MMSE hybrid precoding/combining technique offers a higher spectral ef ﬁ ciency compared with analog-only beamsteering with large antenna arrays.
Correlation between physico-chemical attributes of Rhizospheric soils from agricultural fields of semi-arid Kachchh, Gujarat, Western India

Agriculture worldwide relies significantly on the quality of soil and water. This becomes particularly challenging in arid regions, given that salinity or sodicity poses additional issues. PGPR are common inhabitants that colonize plant roots and enhance yield by producing plant growth regulators. With this background, the present study was designed to assess the physico-chemical and microbiological attributes of soils from agricultural fields of different taluka of Kachchh, Gujarat, India. A total of 34 soil samples were collected during pre and post-monsoon seasons and characterized for various physico-chemical properties including nutrients. The study revealed that the mean values of N, P, and K during pre and post-monsoon season were 4.95%, 47.16 mg/kg, 119.62 mg/kg and 5.20%, 53.67 mg/kg, and 180.45 mg/kg respectively. The maximum chloride concentration in the soil was 2917.40 mg/kg during the pre-monsoon season was reflected in the salinity status (5.27 ppt). Pearson’s correlation coefficient was calculated to understand the relationship between the physico-chemical properties.
GREEN PURCHASING: A REVIEW OF INFLUENTIAL FACTORS AND INTERVENTIONS

Purchasing green products and services is a significant concern in green consumer behaviors that are expected to reduce environmental impacts while satisfying needs. This paper extends the discourse to changing meanings, influential factors, and interventions on green purchasing. We integratively reviewed literature between 2012 and 2022, presented evidence, identified gaps, and discussed managerial implications. We highlighted six groups of significant and insignificant factors: sociodemographic, psychological determinants, knowledge and consciousness, habits and intention, latent classes, product/service characteristics, and producer/retailer. Potential interventions were analyzed in green marketing and green producers/retailers driving green purchasing. Also, we proposed a framework for identifying areas for green purchasing intervention regarding green education. This paper is conceptual and exploratory, but the findings have implications for policymakers and practitioners.
An Efficient and Easy- to- Use Method for Extraction of H. pylori DNA from Archival Formalin-Fixed and Paraffin-Embedded Gastric Tissues

Background & Objective: Formalin-fixed paraffin-embedded archived tissues are useful for the genetic analyses and assessment of some patients’ disease history, including infectious diseases. However, there is no established protocol for extracting bacterial DNA from the archived specimens. In this study DNA was extracted from the archived H. pylori-positive gastric biopsies by some modifications applied to the previously published protocols. The quality of the extracted DNA was assessed by amplifying H. pylori-specific 16S rRNA gene. Methods: Fifty H. pylori-positive gastric biopsies obtained, fixed, and embedded in paraffin blocks during 2002-2008 were recruited. After paraffin removal, simultaneous proteinase K treatment and mechanical disruption using glass beads were used for the digestion of gastric tissues. DNA extraction was performed by adding one step of phenol treatment and two steps of incubation to the conventional phenol-chloroform method. The quantity and quality of the extracted DNA samples were assessed. Also, PCR was performed using primers specific for the H. pylori-specific 16S rRNA. Results: The electrophoresis showed that intact DNAs were recovered from all biopsy samples. Amplification of the PCR products with the size of 519bp confirmed the presence of H. pylori-specific 16S rRNA gene in all the biopsies. Conclusion: A 100% success rate for the amplification of H. pylori-specific 16S rRNA gene was achieved from all the samples. In this regard, the designed modified method resulted in the effective removal of interfering contaminations and enhanced the quality of the extracted bacterial DNA from the archived tissues. These modifications may contribute to better extraction of the intact DNA from different bacteria present in human tissues.
Deep Learning for Time Series Forecasting: Advances and Open Problems

A time series is a sequence of time-ordered data, and it is generally used to describe how a phenomenon evolves over time. Time series forecasting, estimating future values of time series, allows the implementation of decision-making strategies. Deep learning, the currently leading field of machine learning, applied to time series forecasting can cope with complex and high-dimensional time series that cannot be usually handled by other machine learning techniques. The aim of the work is to provide a review of state-of-the-art deep learning architectures for time series forecasting, underline recent advances and open problems, and also pay attention to benchmark data sets. Moreover, the work presents a clear distinction between deep learning architectures that are suitable for short-term and long-term forecasting. With respect to existing literature, the major advantage of the work consists in describing the most recent architectures for time series forecasting, such as Graph Neural Networks, Deep Gaussian Processes, Generative Adversarial Networks, Diffusion Models, and Transformers.